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Fed Pract
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gaming
gambling
compulsive behaviors
ammunition
assault rifle
black jack
Boko Haram
bondage
child abuse
cocaine
Daech
drug paraphernalia
explosion
gun
human trafficking
ISIL
ISIS
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Islamic state
mixed martial arts
MMA
molestation
national rifle association
NRA
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pedophilia
poker
porn
pornography
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recreational drug
sex slave rings
slot machine
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Texas hold 'em
UFC
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bunges
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butt
butt fuck
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buttfucked
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cock sucker
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A peer-reviewed clinical journal serving healthcare professionals working with the Department of Veterans Affairs, the Department of Defense, and the Public Health Service.

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Higher Forced Vital Capacity Associated With Lower Risk for Cardiometabolic Disease Onset

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TOPLINE:

Better lung function, expressed as higher forced vital capacity (FVC), is associated with a reduced risk for the onset of heart disease, diabetes, and stroke over a follow-up period of approximately 10 years, according to a cross-sectional analysis of a population-based study.

METHODOLOGY:

  • Researchers conducted a cross-sectional analysis of a population-based study (the BOLD study) between 2003 and 2016 to investigate the association between lung function and the onset of cardiometabolic diseases by using data from participants across 15 countries.
  • Overall, 5916 participants (mean age, 54 years; 55% women) were included, and the mean follow-up duration was 9.5 years.
  • Lung function was evaluated as forced expiratory volume in 1 second (FEV1), FVC, and FEV1/FVC ratio, measured using spirometry at baseline, and postbronchodilator values of these measures were expressed as the percent of the predicted values at baseline.
  • The onset of cardiometabolic diseases was identified through participant-reported doctor diagnoses of hypertension, heart disease, diabetes, and stroke at follow-up but not at baseline.

TAKEAWAY:

  • Each 10% predicted FVC was associated with a 9% reduced risk for the onset of diabetes (adjusted odds ratio [aOR], 0.91; 95% CI, 0.84-0.99), a 14% reduced risk for the onset of heart disease (aOR, 0.86; 95% CI, 0.80-0.92), and a 19% reduced risk for the onset of stroke (aOR, 0.81; 95% CI, 0.73-0.89).
  • Each 10% predicted FEV1 was associated with a reduced risk for the onset of heart disease (aOR, 0.88; 95% CI, 0.83-0.94) and stroke (aOR, 0.83; 95% CI, 0.76-0.90).
  • A high FEV1/FVC ratio was associated with an increased risk for the onset of diabetes (aOR per 10%, 1.21; 95% CI, 1.08-1.35) but not associated with other cardiometabolic diseases.
  • Moderate heterogeneity was observed across study sites regarding the association between high lung function and the risk for the onset of diabetes and stroke.

IN PRACTICE:

“FVC is not included in any risk score for predicting the risk of cardiometabolic events, although data also suggests that FVC predicted mortality more strongly than systolic blood pressure or BMI [body mass index]. Our results and several previous studies suggest that including FVC will improve the precision of risk scores used to predict the onset of diabetes and cardiovascular diseases,” the authors wrote.

SOURCE:

This study was led by Christer Janson, Department of Medical Sciences Respiratory Medicine, Uppsala Universitet, Uppsala, Sweden. It was published online on January 19, 2025, in BMJ Open Respiratory Research.

LIMITATIONS:

The primary limitation of this study was the reliance on the self-reported onset of cardiometabolic diseases, which is particularly challenging in low- and middle-income countries with underdeveloped healthcare systems. The observed outcomes could be the result of an undiagnosed condition. The data did not allow differentiation between various types of heart diseases or strokes.

DISCLOSURES:

The BOLD study received support through grants from the Wellcome Trust and Medical Research Council, and the follow-up study at some centers was supported by an unrestricted grant from AstraZeneca. Four authors reported receiving support from various sources related or unrelated to this work.

This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication.

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TOPLINE:

Better lung function, expressed as higher forced vital capacity (FVC), is associated with a reduced risk for the onset of heart disease, diabetes, and stroke over a follow-up period of approximately 10 years, according to a cross-sectional analysis of a population-based study.

METHODOLOGY:

  • Researchers conducted a cross-sectional analysis of a population-based study (the BOLD study) between 2003 and 2016 to investigate the association between lung function and the onset of cardiometabolic diseases by using data from participants across 15 countries.
  • Overall, 5916 participants (mean age, 54 years; 55% women) were included, and the mean follow-up duration was 9.5 years.
  • Lung function was evaluated as forced expiratory volume in 1 second (FEV1), FVC, and FEV1/FVC ratio, measured using spirometry at baseline, and postbronchodilator values of these measures were expressed as the percent of the predicted values at baseline.
  • The onset of cardiometabolic diseases was identified through participant-reported doctor diagnoses of hypertension, heart disease, diabetes, and stroke at follow-up but not at baseline.

TAKEAWAY:

  • Each 10% predicted FVC was associated with a 9% reduced risk for the onset of diabetes (adjusted odds ratio [aOR], 0.91; 95% CI, 0.84-0.99), a 14% reduced risk for the onset of heart disease (aOR, 0.86; 95% CI, 0.80-0.92), and a 19% reduced risk for the onset of stroke (aOR, 0.81; 95% CI, 0.73-0.89).
  • Each 10% predicted FEV1 was associated with a reduced risk for the onset of heart disease (aOR, 0.88; 95% CI, 0.83-0.94) and stroke (aOR, 0.83; 95% CI, 0.76-0.90).
  • A high FEV1/FVC ratio was associated with an increased risk for the onset of diabetes (aOR per 10%, 1.21; 95% CI, 1.08-1.35) but not associated with other cardiometabolic diseases.
  • Moderate heterogeneity was observed across study sites regarding the association between high lung function and the risk for the onset of diabetes and stroke.

IN PRACTICE:

“FVC is not included in any risk score for predicting the risk of cardiometabolic events, although data also suggests that FVC predicted mortality more strongly than systolic blood pressure or BMI [body mass index]. Our results and several previous studies suggest that including FVC will improve the precision of risk scores used to predict the onset of diabetes and cardiovascular diseases,” the authors wrote.

SOURCE:

This study was led by Christer Janson, Department of Medical Sciences Respiratory Medicine, Uppsala Universitet, Uppsala, Sweden. It was published online on January 19, 2025, in BMJ Open Respiratory Research.

LIMITATIONS:

The primary limitation of this study was the reliance on the self-reported onset of cardiometabolic diseases, which is particularly challenging in low- and middle-income countries with underdeveloped healthcare systems. The observed outcomes could be the result of an undiagnosed condition. The data did not allow differentiation between various types of heart diseases or strokes.

DISCLOSURES:

The BOLD study received support through grants from the Wellcome Trust and Medical Research Council, and the follow-up study at some centers was supported by an unrestricted grant from AstraZeneca. Four authors reported receiving support from various sources related or unrelated to this work.

This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication.

TOPLINE:

Better lung function, expressed as higher forced vital capacity (FVC), is associated with a reduced risk for the onset of heart disease, diabetes, and stroke over a follow-up period of approximately 10 years, according to a cross-sectional analysis of a population-based study.

METHODOLOGY:

  • Researchers conducted a cross-sectional analysis of a population-based study (the BOLD study) between 2003 and 2016 to investigate the association between lung function and the onset of cardiometabolic diseases by using data from participants across 15 countries.
  • Overall, 5916 participants (mean age, 54 years; 55% women) were included, and the mean follow-up duration was 9.5 years.
  • Lung function was evaluated as forced expiratory volume in 1 second (FEV1), FVC, and FEV1/FVC ratio, measured using spirometry at baseline, and postbronchodilator values of these measures were expressed as the percent of the predicted values at baseline.
  • The onset of cardiometabolic diseases was identified through participant-reported doctor diagnoses of hypertension, heart disease, diabetes, and stroke at follow-up but not at baseline.

TAKEAWAY:

  • Each 10% predicted FVC was associated with a 9% reduced risk for the onset of diabetes (adjusted odds ratio [aOR], 0.91; 95% CI, 0.84-0.99), a 14% reduced risk for the onset of heart disease (aOR, 0.86; 95% CI, 0.80-0.92), and a 19% reduced risk for the onset of stroke (aOR, 0.81; 95% CI, 0.73-0.89).
  • Each 10% predicted FEV1 was associated with a reduced risk for the onset of heart disease (aOR, 0.88; 95% CI, 0.83-0.94) and stroke (aOR, 0.83; 95% CI, 0.76-0.90).
  • A high FEV1/FVC ratio was associated with an increased risk for the onset of diabetes (aOR per 10%, 1.21; 95% CI, 1.08-1.35) but not associated with other cardiometabolic diseases.
  • Moderate heterogeneity was observed across study sites regarding the association between high lung function and the risk for the onset of diabetes and stroke.

IN PRACTICE:

“FVC is not included in any risk score for predicting the risk of cardiometabolic events, although data also suggests that FVC predicted mortality more strongly than systolic blood pressure or BMI [body mass index]. Our results and several previous studies suggest that including FVC will improve the precision of risk scores used to predict the onset of diabetes and cardiovascular diseases,” the authors wrote.

SOURCE:

This study was led by Christer Janson, Department of Medical Sciences Respiratory Medicine, Uppsala Universitet, Uppsala, Sweden. It was published online on January 19, 2025, in BMJ Open Respiratory Research.

LIMITATIONS:

The primary limitation of this study was the reliance on the self-reported onset of cardiometabolic diseases, which is particularly challenging in low- and middle-income countries with underdeveloped healthcare systems. The observed outcomes could be the result of an undiagnosed condition. The data did not allow differentiation between various types of heart diseases or strokes.

DISCLOSURES:

The BOLD study received support through grants from the Wellcome Trust and Medical Research Council, and the follow-up study at some centers was supported by an unrestricted grant from AstraZeneca. Four authors reported receiving support from various sources related or unrelated to this work.

This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication.

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VA Exempts Clinical Staff From OPM Deferred Resignation Program

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The US Department of Veterans Affairs (VA) announced on Feb. 7, 2025, that 116 Veterans Health Administration job classifications will not be eligible for the deferred resignation plan emailed by the Office of Personnel Management (OPM). The exemptions include Title 38 and Hybrid Title 38 positions, including doctors, nurses, and most medical staff.

The original OPM email offer had a Feb. 6, 2025, deadline for accepting the offer and a resignation date of no later than Sept. 30, 2025. However, the offer has been put on hold following a limited temporary restraining order from a Federal District Court in Massachusetts. Judge George O’Toole enjoined the OPM from “taking any further action to implement the so-called Fork Directive.” Arguments on the program’s legal merits began at a separate hearing on Monday.

The 116 roles exempted include physicians, nurses, pharmacists and pharmacy technicians, therapists, data scientists, dieticians, health and medical instrument technicians, among other roles.

OPM also included Voluntary Early Retirement Authority (VERA) in the deferred resignation offer. In a Feb. 6 email, the VA’s Office of the Chief Human Capital Officer (OCHCO) said: “The Department of Veterans Affairs established a list of occupations that are excluded from participating in DRP and VERA. If your occupation is on this list, you are not eligible to participate in the DRP.”

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The US Department of Veterans Affairs (VA) announced on Feb. 7, 2025, that 116 Veterans Health Administration job classifications will not be eligible for the deferred resignation plan emailed by the Office of Personnel Management (OPM). The exemptions include Title 38 and Hybrid Title 38 positions, including doctors, nurses, and most medical staff.

The original OPM email offer had a Feb. 6, 2025, deadline for accepting the offer and a resignation date of no later than Sept. 30, 2025. However, the offer has been put on hold following a limited temporary restraining order from a Federal District Court in Massachusetts. Judge George O’Toole enjoined the OPM from “taking any further action to implement the so-called Fork Directive.” Arguments on the program’s legal merits began at a separate hearing on Monday.

The 116 roles exempted include physicians, nurses, pharmacists and pharmacy technicians, therapists, data scientists, dieticians, health and medical instrument technicians, among other roles.

OPM also included Voluntary Early Retirement Authority (VERA) in the deferred resignation offer. In a Feb. 6 email, the VA’s Office of the Chief Human Capital Officer (OCHCO) said: “The Department of Veterans Affairs established a list of occupations that are excluded from participating in DRP and VERA. If your occupation is on this list, you are not eligible to participate in the DRP.”

The US Department of Veterans Affairs (VA) announced on Feb. 7, 2025, that 116 Veterans Health Administration job classifications will not be eligible for the deferred resignation plan emailed by the Office of Personnel Management (OPM). The exemptions include Title 38 and Hybrid Title 38 positions, including doctors, nurses, and most medical staff.

The original OPM email offer had a Feb. 6, 2025, deadline for accepting the offer and a resignation date of no later than Sept. 30, 2025. However, the offer has been put on hold following a limited temporary restraining order from a Federal District Court in Massachusetts. Judge George O’Toole enjoined the OPM from “taking any further action to implement the so-called Fork Directive.” Arguments on the program’s legal merits began at a separate hearing on Monday.

The 116 roles exempted include physicians, nurses, pharmacists and pharmacy technicians, therapists, data scientists, dieticians, health and medical instrument technicians, among other roles.

OPM also included Voluntary Early Retirement Authority (VERA) in the deferred resignation offer. In a Feb. 6 email, the VA’s Office of the Chief Human Capital Officer (OCHCO) said: “The Department of Veterans Affairs established a list of occupations that are excluded from participating in DRP and VERA. If your occupation is on this list, you are not eligible to participate in the DRP.”

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Environmental and Socioeconomic Factors Fuel Respiratory Health Disparities in Rural and Urban Areas

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In 2016, Brady Scott was in his parents’ home in Garrett, Kentucky, scrolling his Facebook feed when a post from a local newspaper caught his attention. “The article said that if you grew up in the region I grew up in, compared to the richer Central Kentucky region, the life expectancy differed by about 9 years,” he recalled.

The respiratory therapist, then a PhD student at Rush University, Chicago, was struck and began “Googling” to find out why this was the case. Initially, he thought diabetes, smoking, and economic distress — all prevalent problems in the area — were the culprits. However, he soon found that respiratory disease was particularly common in his region.

Now a professor and program director of the Respiratory Care Program at Rush University, Scott has spent several years trying to understand why people in certain regions experience respiratory illness at higher rates than in other places.

 

The Environment as a Determinant of Health

When Scott began his PhD, the prevalence of asthma in Southeast Kentucky, part of the Appalachian region, was already well-documented. He focused his research on uncontrolled asthma and the triggers that drove asthma exacerbations.

Housing quality emerged as an important factor. He found that exposure to mold, mildew, dust mites, pests, and rodents increased the risk for asthma and exacerbated existing cases. Lower-income families, more likely to live in poor-quality housing, were significantly affected, even in single-family homes.

Wanda Phipatanakul, MD, MS, director of the Division of Immunology Research Center at Boston Children’s Hospital and S. Jean Emans professor of Pediatrics at Harvard Medical School, Boston, has found similar results in urban environments. She said cockroach and mouse allergen exposure is disproportionately prevalent in urban, low-income neighborhoods. These exposures, closely tied to housing conditions, contribute to worse asthma and respiratory problems, particularly in children.

Scott and Phipatanakul agreed that the environment surrounding people’s homes can also exacerbate respiratory disease.

Rural areas present unique risks, such as agricultural activities that release pesticides and other particulates into the air, said Scott. In mountainous areas like Appalachia, mining operations are another significant contributor. For example, blasting mountains with dynamite creates large clouds of dust and pollutants that settle in valleys. Coal-hauling roads contribute to air quality issues, too. And houses near these roads may be exposed to increased levels of particulate matter, he said.

In the city, Phipatanakul has found that historical practices like redlining have systematically denied certain neighborhoods access to resources and investment, leaving a legacy of poor infrastructure, limited resources, and higher exposure to environmental risks. Today, these areas have more highways and fewer green spaces and are disproportionately linked with a higher incidence of respiratory illnesses.

The findings of both Scott and Phipatanakul underscore a critical bottom line: Health disparities are deeply influenced by environmental factors, which are themselves shaped by socioeconomic conditions and historical inequities. Poor housing quality, exposure to allergens, and proximity to environmental hazards disproportionately affect underserved and minority communities, whether in rural or urban settings.

 

The Role of Green Spaces in Improving Respiratory Health

Restoring and increasing tree cover and green spaces in urban areas can significantly improve respiratory health by addressing environmental challenges and reducing triggers for respiratory issues. Areas with greater greenness tend to have lower levels of pollutants and fewer environmental infestations, such as mice and cockroaches, explained Phipatanakul. Her research highlights that schools in greener areas have fewer airborne pollutants and particles than those in more urbanized, less green areas, which are usually in poorer suburbs.

Trees absorb pollutants such as particulate matter and sulfur dioxide through dry deposition and stomatal uptake, improving air quality. “The question is whether we can use trees as a public health tool, and this is being done in many cities,” said Alessandro Marcon, PhD, a professor of epidemiology and medical statistics at the University of Verona, Verona, Italy, while speaking at the European Respiratory Society conference held in Vienna last September.

A US analysis showed that existing natural vegetation, such as forests and grasslands, absorbs a large portion of emissions. By restoring land cover, pollution from harmful substances like sulfur dioxide and particulate matter could be reduced by about 30%. This approach is often more cost-effective than technological solutions for managing emissions.

Moreover, tree cover contributes to a healthier air microbiome. Research indicates that urban forest areas have lower pathogenic bacteria and fungi concentrations than nearby urban zones.

Another major advantage is the mitigation of the urban heat island effect. A study conducted in Paris found that municipalities with higher tree coverage experienced 20%-30% lower heat-related mortality than those with less greenery. Increasing tree coverage to 30% could reduce up to 40% of excess mortality associated with urban heat islands. Trees achieve this by providing shade and facilitating evapotranspiration, which cools the surrounding air.

Urban environments, unsurprisingly, often have higher levels of air pollution due to increased traffic and industrial activity. However, despite appearing greener, rural environments may harbor less obvious but significant sources of air pollution. “I live in an urban environment now, but I grew up in a rural environment,” Scott said. “Each has its own issues that affect air quality and health.”

Scott, Phipatanakul, and Marcon reported no relevant financial relationships.

A version of this article first appeared on Medscape.com.

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In 2016, Brady Scott was in his parents’ home in Garrett, Kentucky, scrolling his Facebook feed when a post from a local newspaper caught his attention. “The article said that if you grew up in the region I grew up in, compared to the richer Central Kentucky region, the life expectancy differed by about 9 years,” he recalled.

The respiratory therapist, then a PhD student at Rush University, Chicago, was struck and began “Googling” to find out why this was the case. Initially, he thought diabetes, smoking, and economic distress — all prevalent problems in the area — were the culprits. However, he soon found that respiratory disease was particularly common in his region.

Now a professor and program director of the Respiratory Care Program at Rush University, Scott has spent several years trying to understand why people in certain regions experience respiratory illness at higher rates than in other places.

 

The Environment as a Determinant of Health

When Scott began his PhD, the prevalence of asthma in Southeast Kentucky, part of the Appalachian region, was already well-documented. He focused his research on uncontrolled asthma and the triggers that drove asthma exacerbations.

Housing quality emerged as an important factor. He found that exposure to mold, mildew, dust mites, pests, and rodents increased the risk for asthma and exacerbated existing cases. Lower-income families, more likely to live in poor-quality housing, were significantly affected, even in single-family homes.

Wanda Phipatanakul, MD, MS, director of the Division of Immunology Research Center at Boston Children’s Hospital and S. Jean Emans professor of Pediatrics at Harvard Medical School, Boston, has found similar results in urban environments. She said cockroach and mouse allergen exposure is disproportionately prevalent in urban, low-income neighborhoods. These exposures, closely tied to housing conditions, contribute to worse asthma and respiratory problems, particularly in children.

Scott and Phipatanakul agreed that the environment surrounding people’s homes can also exacerbate respiratory disease.

Rural areas present unique risks, such as agricultural activities that release pesticides and other particulates into the air, said Scott. In mountainous areas like Appalachia, mining operations are another significant contributor. For example, blasting mountains with dynamite creates large clouds of dust and pollutants that settle in valleys. Coal-hauling roads contribute to air quality issues, too. And houses near these roads may be exposed to increased levels of particulate matter, he said.

In the city, Phipatanakul has found that historical practices like redlining have systematically denied certain neighborhoods access to resources and investment, leaving a legacy of poor infrastructure, limited resources, and higher exposure to environmental risks. Today, these areas have more highways and fewer green spaces and are disproportionately linked with a higher incidence of respiratory illnesses.

The findings of both Scott and Phipatanakul underscore a critical bottom line: Health disparities are deeply influenced by environmental factors, which are themselves shaped by socioeconomic conditions and historical inequities. Poor housing quality, exposure to allergens, and proximity to environmental hazards disproportionately affect underserved and minority communities, whether in rural or urban settings.

 

The Role of Green Spaces in Improving Respiratory Health

Restoring and increasing tree cover and green spaces in urban areas can significantly improve respiratory health by addressing environmental challenges and reducing triggers for respiratory issues. Areas with greater greenness tend to have lower levels of pollutants and fewer environmental infestations, such as mice and cockroaches, explained Phipatanakul. Her research highlights that schools in greener areas have fewer airborne pollutants and particles than those in more urbanized, less green areas, which are usually in poorer suburbs.

Trees absorb pollutants such as particulate matter and sulfur dioxide through dry deposition and stomatal uptake, improving air quality. “The question is whether we can use trees as a public health tool, and this is being done in many cities,” said Alessandro Marcon, PhD, a professor of epidemiology and medical statistics at the University of Verona, Verona, Italy, while speaking at the European Respiratory Society conference held in Vienna last September.

A US analysis showed that existing natural vegetation, such as forests and grasslands, absorbs a large portion of emissions. By restoring land cover, pollution from harmful substances like sulfur dioxide and particulate matter could be reduced by about 30%. This approach is often more cost-effective than technological solutions for managing emissions.

Moreover, tree cover contributes to a healthier air microbiome. Research indicates that urban forest areas have lower pathogenic bacteria and fungi concentrations than nearby urban zones.

Another major advantage is the mitigation of the urban heat island effect. A study conducted in Paris found that municipalities with higher tree coverage experienced 20%-30% lower heat-related mortality than those with less greenery. Increasing tree coverage to 30% could reduce up to 40% of excess mortality associated with urban heat islands. Trees achieve this by providing shade and facilitating evapotranspiration, which cools the surrounding air.

Urban environments, unsurprisingly, often have higher levels of air pollution due to increased traffic and industrial activity. However, despite appearing greener, rural environments may harbor less obvious but significant sources of air pollution. “I live in an urban environment now, but I grew up in a rural environment,” Scott said. “Each has its own issues that affect air quality and health.”

Scott, Phipatanakul, and Marcon reported no relevant financial relationships.

A version of this article first appeared on Medscape.com.

In 2016, Brady Scott was in his parents’ home in Garrett, Kentucky, scrolling his Facebook feed when a post from a local newspaper caught his attention. “The article said that if you grew up in the region I grew up in, compared to the richer Central Kentucky region, the life expectancy differed by about 9 years,” he recalled.

The respiratory therapist, then a PhD student at Rush University, Chicago, was struck and began “Googling” to find out why this was the case. Initially, he thought diabetes, smoking, and economic distress — all prevalent problems in the area — were the culprits. However, he soon found that respiratory disease was particularly common in his region.

Now a professor and program director of the Respiratory Care Program at Rush University, Scott has spent several years trying to understand why people in certain regions experience respiratory illness at higher rates than in other places.

 

The Environment as a Determinant of Health

When Scott began his PhD, the prevalence of asthma in Southeast Kentucky, part of the Appalachian region, was already well-documented. He focused his research on uncontrolled asthma and the triggers that drove asthma exacerbations.

Housing quality emerged as an important factor. He found that exposure to mold, mildew, dust mites, pests, and rodents increased the risk for asthma and exacerbated existing cases. Lower-income families, more likely to live in poor-quality housing, were significantly affected, even in single-family homes.

Wanda Phipatanakul, MD, MS, director of the Division of Immunology Research Center at Boston Children’s Hospital and S. Jean Emans professor of Pediatrics at Harvard Medical School, Boston, has found similar results in urban environments. She said cockroach and mouse allergen exposure is disproportionately prevalent in urban, low-income neighborhoods. These exposures, closely tied to housing conditions, contribute to worse asthma and respiratory problems, particularly in children.

Scott and Phipatanakul agreed that the environment surrounding people’s homes can also exacerbate respiratory disease.

Rural areas present unique risks, such as agricultural activities that release pesticides and other particulates into the air, said Scott. In mountainous areas like Appalachia, mining operations are another significant contributor. For example, blasting mountains with dynamite creates large clouds of dust and pollutants that settle in valleys. Coal-hauling roads contribute to air quality issues, too. And houses near these roads may be exposed to increased levels of particulate matter, he said.

In the city, Phipatanakul has found that historical practices like redlining have systematically denied certain neighborhoods access to resources and investment, leaving a legacy of poor infrastructure, limited resources, and higher exposure to environmental risks. Today, these areas have more highways and fewer green spaces and are disproportionately linked with a higher incidence of respiratory illnesses.

The findings of both Scott and Phipatanakul underscore a critical bottom line: Health disparities are deeply influenced by environmental factors, which are themselves shaped by socioeconomic conditions and historical inequities. Poor housing quality, exposure to allergens, and proximity to environmental hazards disproportionately affect underserved and minority communities, whether in rural or urban settings.

 

The Role of Green Spaces in Improving Respiratory Health

Restoring and increasing tree cover and green spaces in urban areas can significantly improve respiratory health by addressing environmental challenges and reducing triggers for respiratory issues. Areas with greater greenness tend to have lower levels of pollutants and fewer environmental infestations, such as mice and cockroaches, explained Phipatanakul. Her research highlights that schools in greener areas have fewer airborne pollutants and particles than those in more urbanized, less green areas, which are usually in poorer suburbs.

Trees absorb pollutants such as particulate matter and sulfur dioxide through dry deposition and stomatal uptake, improving air quality. “The question is whether we can use trees as a public health tool, and this is being done in many cities,” said Alessandro Marcon, PhD, a professor of epidemiology and medical statistics at the University of Verona, Verona, Italy, while speaking at the European Respiratory Society conference held in Vienna last September.

A US analysis showed that existing natural vegetation, such as forests and grasslands, absorbs a large portion of emissions. By restoring land cover, pollution from harmful substances like sulfur dioxide and particulate matter could be reduced by about 30%. This approach is often more cost-effective than technological solutions for managing emissions.

Moreover, tree cover contributes to a healthier air microbiome. Research indicates that urban forest areas have lower pathogenic bacteria and fungi concentrations than nearby urban zones.

Another major advantage is the mitigation of the urban heat island effect. A study conducted in Paris found that municipalities with higher tree coverage experienced 20%-30% lower heat-related mortality than those with less greenery. Increasing tree coverage to 30% could reduce up to 40% of excess mortality associated with urban heat islands. Trees achieve this by providing shade and facilitating evapotranspiration, which cools the surrounding air.

Urban environments, unsurprisingly, often have higher levels of air pollution due to increased traffic and industrial activity. However, despite appearing greener, rural environments may harbor less obvious but significant sources of air pollution. “I live in an urban environment now, but I grew up in a rural environment,” Scott said. “Each has its own issues that affect air quality and health.”

Scott, Phipatanakul, and Marcon reported no relevant financial relationships.

A version of this article first appeared on Medscape.com.

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‘Cure’ in Cancer: Should Oncologists Use the Word?

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It is the best possible news after an advanced melanoma diagnosis: A clean 10-year scan. This, in all likelihood, means the patient is cured and can leave the office free from their annual ‘scanxiety.’ 

But even in the best-case scenarios, oncologists may dodge the word cure, searching for others such as “remission,” “no evidence of disease,” and “most likely cured” to communicate the good news. Using these more open-ended terms can give patients reassurance without providing false hope that the cancer won’t ever return.

The “risk of future recurrence — even when very small — makes oncologists reluctant to use the word cure, fearing it will be interpreted as a promise, and particularly one that might be broken,” Belinda E. Kiely, MD, and Martin R. Stockler, MD, medical oncologists from the University of Sydney in Australia, wrote in a recent editorial.

Is it ever safe for oncologists to use the word cure? Might doing so backfire? Or does a patient’s underlying fear of recurrence transcend the word?

 

A Word’s Heavy Impact

Part of clinicians’ hesitance to use the word cure may stem from a lack of accepted definition for the term in oncology.

For some experts, a cure means patients will have a normal life expectancy not affected by cancer. Being able to confidently tell a patient that “requires very long-term follow-up,” said James Larkin, PhD, a medical oncologist at The Royal Marsden Hospital, London, England.

The National Cancer Institute (NCI) has a similar definition: “Cure means that there are no traces of your cancer after treatment and the cancer will never come back,” the NCI website says.

The American Society of Clinical Oncology, however, defines cure much more narrowly, as “when a person’s cancer has not returned for at least 5 years after treatment.” 

Not having a standard definition of cure in oncology makes it even more challenging for an oncologist to know how to communicate that a cancer very likely won’t return, without overpromising.

Some of the hesitance in framing good news comes from nuances in prognoses that depend on the type and stage of cancer, explained Marleen Kok, MD, PhD, a breast cancer specialist from the Netherlands Cancer Institute in Amsterdam.

Patients with localized early-stage breast cancer, for instance, have a 5-year survival rate of nearly 100%, and most live 2 decades or longer but, for some, the cancer will return.

“If you talk about early disease, indeed, we cure 80% of breast cancer patients,” Kok said during a press conference at the annual 2024 European Society of Medical Oncology meeting. But sub-dividing breast cancer into tumor type adds complexity. “With triple negative breast cancer, if they relapse, they relapse during the first 2 or 3 years so, at 5 years, the majority are disease free. But that’s different for estrogen receptor positive breast cancer,” in which recurrences can come much later.

In advanced cancers, oncologists may, understandably, be more hesitant to use the word cure. However, ongoing progress in cancer treatments is making the prospect of a cure more likely for some patients.

Take recent findings in melanoma. The landmark CheckMate 067 study in advanced disease revealed that patients receiving the immunotherapy combination of nivolumab plus ipilimumab had a median melanoma-specific survival > 10 years and a median overall survival of about 6 years.

The findings from the trial suggest that “many patients may die from causes unrelated to melanoma — or, in essence, they are cured,” outside expert Elisa Funck-Brentano, MD, PhD, from Ambroise-Paré Hospital in Paris, France, explained to Medscape Medical News.

With CheckMate 067, “what we’re talking about here is potential cure of metastatic solid tumors, which in general is something that’s new,” said senior author Larkin. In fact, late relapses after the 2- to 3-year mark in immunotherapy-treated melanoma are extremely rare.

CheckMate 067 “really made people tempted to use the word cure, and I will say some people in our field do,” said Pauline Funchain, MD, a medical oncologist at Stanford Cancer Institute, and associate professor at Stanford University, Palo Alto, California. “The rest of us really, really want to, but are hesitant because of what we know about melanoma.”

Because the reality is late relapse is still possible.

The cancer can show up decades later and I think, as oncologists, that experience has sort of shaken us,” Funchain told this news organization.

“Oncologists are scarred by those examples,” agreed Evan Hall, MD, a medical oncologist at Fred Hutch Cancer Center and assistant professor at the University of Washington School of Medicine, both in Seattle.

Clinical trials also don’t typically frame patient outcomes in terms of being cured. A recent analysis, which examined the use of “cure” and “hope” in 13,363 oncology articles published between 2000 and 2019 in JAMA Oncology and the Journal of Clinical Oncology, found that both words were used infrequently, especially in primary research articles, and their use decreased significantly over time, even as survival rates in oncology improved. The word cure, for instance, appeared in about 0.1% of sentences in primary research papers published in either journal, though the context of its use was not identified.

Outcomes in cancer clinical trials, which may assess hundreds even thousands of patients, are largely framed in terms of risks and rates of survival — 85% of patients who received treatment X are alive at 5 years or patients receiving treatment Y have a 20% risk for recurrence, for instance.

These risks and rates can’t tell an oncologist whether the patient sitting in front of them can close the cancer chapter of their lives for good.

“I just saw a patient the other day who was 30 years out from their melanoma diagnosis, and they had a recurrence,” Hall recalled. That’s why, “ultimately, it’s a hard thing to tell somebody they’re cured,” he said. “I personally don’t really like using that term.”

While the literature on using the word cure in oncology is limited, one older survey of oncology clinicians supports this view that many feel reluctant to use the term. Of 117 oncology clinicians who responded, 81% said they were “hesitant to tell a patient that they are cured,” and 63% said that they “would never tell a patient that they are cured,” while just 36% said they were comfortable saying the word, with most respondents waiting at least 6-10 years before doing so.

A more recent Italian survey, however, revealed a more favorable view of the word cure in oncology. The survey, which included 224 clinicians and 249 patients, reported that > 90% of cancer physicians, which included surgeons, radiotherapists, and medical oncologists, agreed that it’s possible for a patient to be cured, while about 84% of patients believed this. And > 80% of respondents said using the word cure would be “beneficial” to patients.

Still, even for those hearing the word cure and feeling comforted by an oncologist’s reassurance, it may only provide short-term relief. Fear that the cancer will come slinking, even roaring, back eventually may loom. And this lingering worry can haunt cancer survivors for years.

In a recent cross-sectional study of 229 adults who survived childhood cancer and had lived cancer-free for decades, researchers found that one third reported experiencing clinically significant elevated fear that their primary cancer would recur or a subsequent malignant neoplasm would develop. Similar anxiety has been documented in long-term survivors of adult-onset cancers.

To some degree, every survivor will experience fear and anxiety that their cancer will come back and, at a certain level, that is normal, the study’s senior author Nicole Alberts, PhD, a psychologist, associate professor, and Canada research chair in Behavioural Health Intervention at Concordia University, Montréal, Quebec, Canada, told this news organization.

Although an oncologist’s words do matter and clinicians may wrestle with the right words for patients in the moment, it can take more than words to quell patients’ fear, she said.

“What we know about that kind of anxiety is that there’s this cycle where reassurance doesn’t really help in the long-term,” Alberts said. In other words, hearing the word cure from their oncologist initially makes people feel better, but the anxiety may eventually come back.

Alberts tries to help patients acknowledge and accept uncertainty while also calming residual or lingering anxiety about a cancer recurrence. Ultimately, Alberts’ goal is to help cancer survivors “find the sweet spot to live again.”

A version of this article first appeared on Medscape.com. 

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It is the best possible news after an advanced melanoma diagnosis: A clean 10-year scan. This, in all likelihood, means the patient is cured and can leave the office free from their annual ‘scanxiety.’ 

But even in the best-case scenarios, oncologists may dodge the word cure, searching for others such as “remission,” “no evidence of disease,” and “most likely cured” to communicate the good news. Using these more open-ended terms can give patients reassurance without providing false hope that the cancer won’t ever return.

The “risk of future recurrence — even when very small — makes oncologists reluctant to use the word cure, fearing it will be interpreted as a promise, and particularly one that might be broken,” Belinda E. Kiely, MD, and Martin R. Stockler, MD, medical oncologists from the University of Sydney in Australia, wrote in a recent editorial.

Is it ever safe for oncologists to use the word cure? Might doing so backfire? Or does a patient’s underlying fear of recurrence transcend the word?

 

A Word’s Heavy Impact

Part of clinicians’ hesitance to use the word cure may stem from a lack of accepted definition for the term in oncology.

For some experts, a cure means patients will have a normal life expectancy not affected by cancer. Being able to confidently tell a patient that “requires very long-term follow-up,” said James Larkin, PhD, a medical oncologist at The Royal Marsden Hospital, London, England.

The National Cancer Institute (NCI) has a similar definition: “Cure means that there are no traces of your cancer after treatment and the cancer will never come back,” the NCI website says.

The American Society of Clinical Oncology, however, defines cure much more narrowly, as “when a person’s cancer has not returned for at least 5 years after treatment.” 

Not having a standard definition of cure in oncology makes it even more challenging for an oncologist to know how to communicate that a cancer very likely won’t return, without overpromising.

Some of the hesitance in framing good news comes from nuances in prognoses that depend on the type and stage of cancer, explained Marleen Kok, MD, PhD, a breast cancer specialist from the Netherlands Cancer Institute in Amsterdam.

Patients with localized early-stage breast cancer, for instance, have a 5-year survival rate of nearly 100%, and most live 2 decades or longer but, for some, the cancer will return.

“If you talk about early disease, indeed, we cure 80% of breast cancer patients,” Kok said during a press conference at the annual 2024 European Society of Medical Oncology meeting. But sub-dividing breast cancer into tumor type adds complexity. “With triple negative breast cancer, if they relapse, they relapse during the first 2 or 3 years so, at 5 years, the majority are disease free. But that’s different for estrogen receptor positive breast cancer,” in which recurrences can come much later.

In advanced cancers, oncologists may, understandably, be more hesitant to use the word cure. However, ongoing progress in cancer treatments is making the prospect of a cure more likely for some patients.

Take recent findings in melanoma. The landmark CheckMate 067 study in advanced disease revealed that patients receiving the immunotherapy combination of nivolumab plus ipilimumab had a median melanoma-specific survival > 10 years and a median overall survival of about 6 years.

The findings from the trial suggest that “many patients may die from causes unrelated to melanoma — or, in essence, they are cured,” outside expert Elisa Funck-Brentano, MD, PhD, from Ambroise-Paré Hospital in Paris, France, explained to Medscape Medical News.

With CheckMate 067, “what we’re talking about here is potential cure of metastatic solid tumors, which in general is something that’s new,” said senior author Larkin. In fact, late relapses after the 2- to 3-year mark in immunotherapy-treated melanoma are extremely rare.

CheckMate 067 “really made people tempted to use the word cure, and I will say some people in our field do,” said Pauline Funchain, MD, a medical oncologist at Stanford Cancer Institute, and associate professor at Stanford University, Palo Alto, California. “The rest of us really, really want to, but are hesitant because of what we know about melanoma.”

Because the reality is late relapse is still possible.

The cancer can show up decades later and I think, as oncologists, that experience has sort of shaken us,” Funchain told this news organization.

“Oncologists are scarred by those examples,” agreed Evan Hall, MD, a medical oncologist at Fred Hutch Cancer Center and assistant professor at the University of Washington School of Medicine, both in Seattle.

Clinical trials also don’t typically frame patient outcomes in terms of being cured. A recent analysis, which examined the use of “cure” and “hope” in 13,363 oncology articles published between 2000 and 2019 in JAMA Oncology and the Journal of Clinical Oncology, found that both words were used infrequently, especially in primary research articles, and their use decreased significantly over time, even as survival rates in oncology improved. The word cure, for instance, appeared in about 0.1% of sentences in primary research papers published in either journal, though the context of its use was not identified.

Outcomes in cancer clinical trials, which may assess hundreds even thousands of patients, are largely framed in terms of risks and rates of survival — 85% of patients who received treatment X are alive at 5 years or patients receiving treatment Y have a 20% risk for recurrence, for instance.

These risks and rates can’t tell an oncologist whether the patient sitting in front of them can close the cancer chapter of their lives for good.

“I just saw a patient the other day who was 30 years out from their melanoma diagnosis, and they had a recurrence,” Hall recalled. That’s why, “ultimately, it’s a hard thing to tell somebody they’re cured,” he said. “I personally don’t really like using that term.”

While the literature on using the word cure in oncology is limited, one older survey of oncology clinicians supports this view that many feel reluctant to use the term. Of 117 oncology clinicians who responded, 81% said they were “hesitant to tell a patient that they are cured,” and 63% said that they “would never tell a patient that they are cured,” while just 36% said they were comfortable saying the word, with most respondents waiting at least 6-10 years before doing so.

A more recent Italian survey, however, revealed a more favorable view of the word cure in oncology. The survey, which included 224 clinicians and 249 patients, reported that > 90% of cancer physicians, which included surgeons, radiotherapists, and medical oncologists, agreed that it’s possible for a patient to be cured, while about 84% of patients believed this. And > 80% of respondents said using the word cure would be “beneficial” to patients.

Still, even for those hearing the word cure and feeling comforted by an oncologist’s reassurance, it may only provide short-term relief. Fear that the cancer will come slinking, even roaring, back eventually may loom. And this lingering worry can haunt cancer survivors for years.

In a recent cross-sectional study of 229 adults who survived childhood cancer and had lived cancer-free for decades, researchers found that one third reported experiencing clinically significant elevated fear that their primary cancer would recur or a subsequent malignant neoplasm would develop. Similar anxiety has been documented in long-term survivors of adult-onset cancers.

To some degree, every survivor will experience fear and anxiety that their cancer will come back and, at a certain level, that is normal, the study’s senior author Nicole Alberts, PhD, a psychologist, associate professor, and Canada research chair in Behavioural Health Intervention at Concordia University, Montréal, Quebec, Canada, told this news organization.

Although an oncologist’s words do matter and clinicians may wrestle with the right words for patients in the moment, it can take more than words to quell patients’ fear, she said.

“What we know about that kind of anxiety is that there’s this cycle where reassurance doesn’t really help in the long-term,” Alberts said. In other words, hearing the word cure from their oncologist initially makes people feel better, but the anxiety may eventually come back.

Alberts tries to help patients acknowledge and accept uncertainty while also calming residual or lingering anxiety about a cancer recurrence. Ultimately, Alberts’ goal is to help cancer survivors “find the sweet spot to live again.”

A version of this article first appeared on Medscape.com. 

It is the best possible news after an advanced melanoma diagnosis: A clean 10-year scan. This, in all likelihood, means the patient is cured and can leave the office free from their annual ‘scanxiety.’ 

But even in the best-case scenarios, oncologists may dodge the word cure, searching for others such as “remission,” “no evidence of disease,” and “most likely cured” to communicate the good news. Using these more open-ended terms can give patients reassurance without providing false hope that the cancer won’t ever return.

The “risk of future recurrence — even when very small — makes oncologists reluctant to use the word cure, fearing it will be interpreted as a promise, and particularly one that might be broken,” Belinda E. Kiely, MD, and Martin R. Stockler, MD, medical oncologists from the University of Sydney in Australia, wrote in a recent editorial.

Is it ever safe for oncologists to use the word cure? Might doing so backfire? Or does a patient’s underlying fear of recurrence transcend the word?

 

A Word’s Heavy Impact

Part of clinicians’ hesitance to use the word cure may stem from a lack of accepted definition for the term in oncology.

For some experts, a cure means patients will have a normal life expectancy not affected by cancer. Being able to confidently tell a patient that “requires very long-term follow-up,” said James Larkin, PhD, a medical oncologist at The Royal Marsden Hospital, London, England.

The National Cancer Institute (NCI) has a similar definition: “Cure means that there are no traces of your cancer after treatment and the cancer will never come back,” the NCI website says.

The American Society of Clinical Oncology, however, defines cure much more narrowly, as “when a person’s cancer has not returned for at least 5 years after treatment.” 

Not having a standard definition of cure in oncology makes it even more challenging for an oncologist to know how to communicate that a cancer very likely won’t return, without overpromising.

Some of the hesitance in framing good news comes from nuances in prognoses that depend on the type and stage of cancer, explained Marleen Kok, MD, PhD, a breast cancer specialist from the Netherlands Cancer Institute in Amsterdam.

Patients with localized early-stage breast cancer, for instance, have a 5-year survival rate of nearly 100%, and most live 2 decades or longer but, for some, the cancer will return.

“If you talk about early disease, indeed, we cure 80% of breast cancer patients,” Kok said during a press conference at the annual 2024 European Society of Medical Oncology meeting. But sub-dividing breast cancer into tumor type adds complexity. “With triple negative breast cancer, if they relapse, they relapse during the first 2 or 3 years so, at 5 years, the majority are disease free. But that’s different for estrogen receptor positive breast cancer,” in which recurrences can come much later.

In advanced cancers, oncologists may, understandably, be more hesitant to use the word cure. However, ongoing progress in cancer treatments is making the prospect of a cure more likely for some patients.

Take recent findings in melanoma. The landmark CheckMate 067 study in advanced disease revealed that patients receiving the immunotherapy combination of nivolumab plus ipilimumab had a median melanoma-specific survival > 10 years and a median overall survival of about 6 years.

The findings from the trial suggest that “many patients may die from causes unrelated to melanoma — or, in essence, they are cured,” outside expert Elisa Funck-Brentano, MD, PhD, from Ambroise-Paré Hospital in Paris, France, explained to Medscape Medical News.

With CheckMate 067, “what we’re talking about here is potential cure of metastatic solid tumors, which in general is something that’s new,” said senior author Larkin. In fact, late relapses after the 2- to 3-year mark in immunotherapy-treated melanoma are extremely rare.

CheckMate 067 “really made people tempted to use the word cure, and I will say some people in our field do,” said Pauline Funchain, MD, a medical oncologist at Stanford Cancer Institute, and associate professor at Stanford University, Palo Alto, California. “The rest of us really, really want to, but are hesitant because of what we know about melanoma.”

Because the reality is late relapse is still possible.

The cancer can show up decades later and I think, as oncologists, that experience has sort of shaken us,” Funchain told this news organization.

“Oncologists are scarred by those examples,” agreed Evan Hall, MD, a medical oncologist at Fred Hutch Cancer Center and assistant professor at the University of Washington School of Medicine, both in Seattle.

Clinical trials also don’t typically frame patient outcomes in terms of being cured. A recent analysis, which examined the use of “cure” and “hope” in 13,363 oncology articles published between 2000 and 2019 in JAMA Oncology and the Journal of Clinical Oncology, found that both words were used infrequently, especially in primary research articles, and their use decreased significantly over time, even as survival rates in oncology improved. The word cure, for instance, appeared in about 0.1% of sentences in primary research papers published in either journal, though the context of its use was not identified.

Outcomes in cancer clinical trials, which may assess hundreds even thousands of patients, are largely framed in terms of risks and rates of survival — 85% of patients who received treatment X are alive at 5 years or patients receiving treatment Y have a 20% risk for recurrence, for instance.

These risks and rates can’t tell an oncologist whether the patient sitting in front of them can close the cancer chapter of their lives for good.

“I just saw a patient the other day who was 30 years out from their melanoma diagnosis, and they had a recurrence,” Hall recalled. That’s why, “ultimately, it’s a hard thing to tell somebody they’re cured,” he said. “I personally don’t really like using that term.”

While the literature on using the word cure in oncology is limited, one older survey of oncology clinicians supports this view that many feel reluctant to use the term. Of 117 oncology clinicians who responded, 81% said they were “hesitant to tell a patient that they are cured,” and 63% said that they “would never tell a patient that they are cured,” while just 36% said they were comfortable saying the word, with most respondents waiting at least 6-10 years before doing so.

A more recent Italian survey, however, revealed a more favorable view of the word cure in oncology. The survey, which included 224 clinicians and 249 patients, reported that > 90% of cancer physicians, which included surgeons, radiotherapists, and medical oncologists, agreed that it’s possible for a patient to be cured, while about 84% of patients believed this. And > 80% of respondents said using the word cure would be “beneficial” to patients.

Still, even for those hearing the word cure and feeling comforted by an oncologist’s reassurance, it may only provide short-term relief. Fear that the cancer will come slinking, even roaring, back eventually may loom. And this lingering worry can haunt cancer survivors for years.

In a recent cross-sectional study of 229 adults who survived childhood cancer and had lived cancer-free for decades, researchers found that one third reported experiencing clinically significant elevated fear that their primary cancer would recur or a subsequent malignant neoplasm would develop. Similar anxiety has been documented in long-term survivors of adult-onset cancers.

To some degree, every survivor will experience fear and anxiety that their cancer will come back and, at a certain level, that is normal, the study’s senior author Nicole Alberts, PhD, a psychologist, associate professor, and Canada research chair in Behavioural Health Intervention at Concordia University, Montréal, Quebec, Canada, told this news organization.

Although an oncologist’s words do matter and clinicians may wrestle with the right words for patients in the moment, it can take more than words to quell patients’ fear, she said.

“What we know about that kind of anxiety is that there’s this cycle where reassurance doesn’t really help in the long-term,” Alberts said. In other words, hearing the word cure from their oncologist initially makes people feel better, but the anxiety may eventually come back.

Alberts tries to help patients acknowledge and accept uncertainty while also calming residual or lingering anxiety about a cancer recurrence. Ultimately, Alberts’ goal is to help cancer survivors “find the sweet spot to live again.”

A version of this article first appeared on Medscape.com. 

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Walter Reed National Military Medical Center Recovering After Flood

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A burst sprinkler pipe and broken steam system caused significant infrastructure failures and wreaked havoc on patient care at Walter Reed National Military Medical Center in January. 

An email sent to Walter Reed staff from the medical center’s director, Navy Capt. Melissa C. Austin, said 60,000 gallons of water, or enough “to fill a 25x50 foot swimming pool” flooded throughout the facility on Jan. 20 before it was contained, damaging 50 rooms and 6 elevators. 

Frozen pipes burst due to extreme cold, and the issues were exacerbated by aging infrastructure and “deferred maintenance due to underfunding,” the Defense Health Agency (DHA), which oversees Walter Reed, said in a public statement

The damage was severe enough to impact patient care. The facility had to evacuate the neonatal intensive care unit as well as several clinics. The steam system outages also meant operating rooms had fewer clean surgical tools available and had to send them to regional hospitals for sterilization, staffers told The Washington Post. Health care workers could not “flash sterilize” equipment in emergencies, further risking patient safety.

Rick McNamara, a spokesperson for the Defense Health Network National Capital Region, confirmed other hospitals are “sharing the burden” to sterilize equipment. McNamara said it could take 6 weeks to complete the immediate repairs, which will cost between $1 million and $2 million.

Patient appointments were delayed, and nonemergency procedures were canceled or delayed. Overall, 212 patients were “deferred or rescheduled,” and 56 other patients were sent to other hospitals to receive care.

Defense Secretary Pete Hegseth said on Jan. 31 the problem was “real and unacceptable” in response to a video circulating on social media that showed flooding.

Acknowledging that the water damage “temporarily impacted health care operations,” the Defense Department says DHA and Walter Reed staff were “working diligently around the clock” to find and implement solutions while minimizing disruptions to patient care: “High waters and loss of steam pressure impacted the capacity of services delivered, but the ability to deliver the hospital’s core capabilities of safe, quality care was never compromised,” the agency said.

In response to the flooding, the hospital moved quickly to provide the required urgent care: “We are utilizing all the hospitals and clinics in the National Capital Region Network from Malcom Grow at Joint Base Andrews to Kimbrough Ambulatory Care Center at Fort Meade to the Alexander T. Augusta Military Medical Center at Fort Belvoir,” Capt. Austin said. 

DHA is also funding emergency work orders and contract modifications required to return Walter Reed to full operational capability. It is prioritizing resources for repairs and is collaborating with the Naval Installations Command and Naval Support Activity Bethesda to implement necessary repairs.

“This acute issue is being managed aggressively to ensure patient care continues to be delivered safely,” DHA said

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A burst sprinkler pipe and broken steam system caused significant infrastructure failures and wreaked havoc on patient care at Walter Reed National Military Medical Center in January. 

An email sent to Walter Reed staff from the medical center’s director, Navy Capt. Melissa C. Austin, said 60,000 gallons of water, or enough “to fill a 25x50 foot swimming pool” flooded throughout the facility on Jan. 20 before it was contained, damaging 50 rooms and 6 elevators. 

Frozen pipes burst due to extreme cold, and the issues were exacerbated by aging infrastructure and “deferred maintenance due to underfunding,” the Defense Health Agency (DHA), which oversees Walter Reed, said in a public statement

The damage was severe enough to impact patient care. The facility had to evacuate the neonatal intensive care unit as well as several clinics. The steam system outages also meant operating rooms had fewer clean surgical tools available and had to send them to regional hospitals for sterilization, staffers told The Washington Post. Health care workers could not “flash sterilize” equipment in emergencies, further risking patient safety.

Rick McNamara, a spokesperson for the Defense Health Network National Capital Region, confirmed other hospitals are “sharing the burden” to sterilize equipment. McNamara said it could take 6 weeks to complete the immediate repairs, which will cost between $1 million and $2 million.

Patient appointments were delayed, and nonemergency procedures were canceled or delayed. Overall, 212 patients were “deferred or rescheduled,” and 56 other patients were sent to other hospitals to receive care.

Defense Secretary Pete Hegseth said on Jan. 31 the problem was “real and unacceptable” in response to a video circulating on social media that showed flooding.

Acknowledging that the water damage “temporarily impacted health care operations,” the Defense Department says DHA and Walter Reed staff were “working diligently around the clock” to find and implement solutions while minimizing disruptions to patient care: “High waters and loss of steam pressure impacted the capacity of services delivered, but the ability to deliver the hospital’s core capabilities of safe, quality care was never compromised,” the agency said.

In response to the flooding, the hospital moved quickly to provide the required urgent care: “We are utilizing all the hospitals and clinics in the National Capital Region Network from Malcom Grow at Joint Base Andrews to Kimbrough Ambulatory Care Center at Fort Meade to the Alexander T. Augusta Military Medical Center at Fort Belvoir,” Capt. Austin said. 

DHA is also funding emergency work orders and contract modifications required to return Walter Reed to full operational capability. It is prioritizing resources for repairs and is collaborating with the Naval Installations Command and Naval Support Activity Bethesda to implement necessary repairs.

“This acute issue is being managed aggressively to ensure patient care continues to be delivered safely,” DHA said

A burst sprinkler pipe and broken steam system caused significant infrastructure failures and wreaked havoc on patient care at Walter Reed National Military Medical Center in January. 

An email sent to Walter Reed staff from the medical center’s director, Navy Capt. Melissa C. Austin, said 60,000 gallons of water, or enough “to fill a 25x50 foot swimming pool” flooded throughout the facility on Jan. 20 before it was contained, damaging 50 rooms and 6 elevators. 

Frozen pipes burst due to extreme cold, and the issues were exacerbated by aging infrastructure and “deferred maintenance due to underfunding,” the Defense Health Agency (DHA), which oversees Walter Reed, said in a public statement

The damage was severe enough to impact patient care. The facility had to evacuate the neonatal intensive care unit as well as several clinics. The steam system outages also meant operating rooms had fewer clean surgical tools available and had to send them to regional hospitals for sterilization, staffers told The Washington Post. Health care workers could not “flash sterilize” equipment in emergencies, further risking patient safety.

Rick McNamara, a spokesperson for the Defense Health Network National Capital Region, confirmed other hospitals are “sharing the burden” to sterilize equipment. McNamara said it could take 6 weeks to complete the immediate repairs, which will cost between $1 million and $2 million.

Patient appointments were delayed, and nonemergency procedures were canceled or delayed. Overall, 212 patients were “deferred or rescheduled,” and 56 other patients were sent to other hospitals to receive care.

Defense Secretary Pete Hegseth said on Jan. 31 the problem was “real and unacceptable” in response to a video circulating on social media that showed flooding.

Acknowledging that the water damage “temporarily impacted health care operations,” the Defense Department says DHA and Walter Reed staff were “working diligently around the clock” to find and implement solutions while minimizing disruptions to patient care: “High waters and loss of steam pressure impacted the capacity of services delivered, but the ability to deliver the hospital’s core capabilities of safe, quality care was never compromised,” the agency said.

In response to the flooding, the hospital moved quickly to provide the required urgent care: “We are utilizing all the hospitals and clinics in the National Capital Region Network from Malcom Grow at Joint Base Andrews to Kimbrough Ambulatory Care Center at Fort Meade to the Alexander T. Augusta Military Medical Center at Fort Belvoir,” Capt. Austin said. 

DHA is also funding emergency work orders and contract modifications required to return Walter Reed to full operational capability. It is prioritizing resources for repairs and is collaborating with the Naval Installations Command and Naval Support Activity Bethesda to implement necessary repairs.

“This acute issue is being managed aggressively to ensure patient care continues to be delivered safely,” DHA said

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Measuring Fecal Hemoglobin Levels in Negative FIT Tests May Enhance CRC Screening Strategies

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The risk of detecting colorectal cancer (CRC) increases by up to 13-fold in the presence of prior fecal hemoglobin (f-Hb) concentrations in fecal immunochemical tests (FIT), especially negative ones, according to a large international dose-response meta-analysis.

Although the association with neoplasia decreased as f-Hb levels rose, the findings support the development of risk-stratified screening strategies based on these concentrations, according to researchers led by Danica M.N. van den Berg, MSc, a PhD candidate and econometrics researcher in the department of public health at Erasmus University Medical Center in Rotterdam, the Netherlands.

Higher f-Hb concentrations in prior negative screening tests are strongly associated with an increased risk of detecting colorectal neoplasia in subsequent screenings, van den Berg said in an interview. “Gastroenterologists and other clinicians should consider the value of f-Hb concentrations in refining screening protocols and personalizing patient care to detect colorectal neoplasia earlier and more accurately.”

Published in Gastroenterology, the study was prompted by prior research showing individuals with f-Hb concentrations just below the positivity cutoff had an elevated CRC risk vs those with low or no f-Hb. “However, global variations in FIT positivity cutoffs and f-Hb category definitions complicated cross-study comparisons,” van den Berg said. 

Given the lack of an established dose-response relationship, the study aimed to clarify how f-Hb levels in previous screenings correlate with colorectal neoplasia detection. “Understanding this relationship is crucial for developing risk-stratified colorectal cancer screening strategies based on prior FIT results, which could improve the harm-benefit balance of screening,” she said.

According to van den Berg, f-Hb concentrations could help determine optimal CRC screening intervals by identifying higher-risk individuals who could benefit from more frequent testing, while those with lower concentrations could be screened less frequently.

 

Study Details

The systematic review and meta-analysis are the first to focus on the dose-response relationship between f-Hb levels in prior FIT screenings and colorectal neoplasia detection, van den Berg said. It included 13 ethnically diverse studies published during 2011-2023 with 4,493,223 individuals from Spain, France, the Netherlands, Taiwan, Denmark, Scotland, Ireland, Korea, Italy, and Norway. Most studies were cohort-based, and one was a randomized controlled trial.

All studies demonstrated a positive association between f-Hb in previous screenings and colorectal neoplasia detection. Almost all reported the f-Hb concentration measured in the prior screening round, while one study combined the f-Hb concentration of two previous screening rounds by using the cumulative f-Hb value. There was, however, wide variability in the stool positivity cut-offs in the included studies, ranging from 10 μg f-Hb/g to 80 μg f-Hb/g.

With an overall effect size of 0.69 (95% CI, 0.59-0.79), pooled analysis revealed that in the next screening round, individuals with f-Hb concentrations in stool of 5, 10, 20, and 40 μg/g had a threefold, fivefold, eightfold, and 13-fold higher risk for colorectal neoplasia, respectively, vs individuals showing 0 μg/g. Although there was significant study heterogeneity (I2 = 97.5%, P < .001), sensitivity analyses confirmed the consistency of findings. Interestingly, subgroup analyses indicated that f-Hb concentrations from a previous negative test were especially predictive of advanced neoplasia in subsequent screenings.

“This is a strategy worth pursuing and evaluating in the United States,” said gastroenterologist Theodore R. Levin, MD, a research scientist at Kaiser Permanente Division of Research in Northern California, commenting on the study but not involved in it. “However, there is no currently available FIT brand in the US that reports f-Hb concentration. All FITs in the United States report as a qualitative positive-negative result.”

The Dutch investigation aligns with prior studies demonstrating a positive association between f-Hb concentrations in previous screenings and the detection of colorectal neoplasia. “Our working hypothesis was that risk increases in a decreasing manner as f-Hb concentrations rise, and the findings supported this hypothesis,” van den Berg said.

Other research has projected f-Hb level risk stratification to be effective and perhaps cost-effective in reducing delayed diagnosis of CRC.

 

Feasibility of Implementation

In large national screening programs in Europe, Asia, and Australia, as well as those of Kaiser Permanente and the Veterans Health Administration in the United States, information on f-Hb concentrations is already available.

“Therefore, incorporating an Hb-based approach should be relatively easy and affordable,” van den Berg said, and may help to optimize resource use while maintaining high detection rates. “However, the more critical question is whether such an approach would be acceptable to the target population.” To that end, randomized controlled trials in Italy and the Netherlands are offering tailored invitation intervals based on prior f-Hb concentrations and may provide insight into the real-world application of risk-stratified screening.

Among the many variables to be considered in the context of population-wide screening are cost-effectiveness, acceptability, and practicality, as well as invitation intervals, positivity cut-off levels, and start and stop ages for screening. “A key focus will be understanding the acceptability of risk-stratified colorectal cancer screening based on f-Hb among the target population and addressing any information needs they may have, as these are critical factors for successful implementation,” said van den Berg. Her group is currently studying the most effective and cost-effective risk-based strategy for CRC screening based on f-Hb levels.

The authors cautioned that since individuals with undetectable f-Hb levels make up the majority of those with negative FIT results, care must be taken that reducing screening frequency for this low-risk group does not lead to unfavorable outcomes at the population level.

This study was funded by the Dutch Organization for Scientific Research, which had no role in study design, data collection, analysis, interpretation, or writing. The authors declared no competing interests. Levin disclosed no competing interests relevant to his comments.

A version of this article first appeared on Medscape.com

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The risk of detecting colorectal cancer (CRC) increases by up to 13-fold in the presence of prior fecal hemoglobin (f-Hb) concentrations in fecal immunochemical tests (FIT), especially negative ones, according to a large international dose-response meta-analysis.

Although the association with neoplasia decreased as f-Hb levels rose, the findings support the development of risk-stratified screening strategies based on these concentrations, according to researchers led by Danica M.N. van den Berg, MSc, a PhD candidate and econometrics researcher in the department of public health at Erasmus University Medical Center in Rotterdam, the Netherlands.

Higher f-Hb concentrations in prior negative screening tests are strongly associated with an increased risk of detecting colorectal neoplasia in subsequent screenings, van den Berg said in an interview. “Gastroenterologists and other clinicians should consider the value of f-Hb concentrations in refining screening protocols and personalizing patient care to detect colorectal neoplasia earlier and more accurately.”

Published in Gastroenterology, the study was prompted by prior research showing individuals with f-Hb concentrations just below the positivity cutoff had an elevated CRC risk vs those with low or no f-Hb. “However, global variations in FIT positivity cutoffs and f-Hb category definitions complicated cross-study comparisons,” van den Berg said. 

Given the lack of an established dose-response relationship, the study aimed to clarify how f-Hb levels in previous screenings correlate with colorectal neoplasia detection. “Understanding this relationship is crucial for developing risk-stratified colorectal cancer screening strategies based on prior FIT results, which could improve the harm-benefit balance of screening,” she said.

According to van den Berg, f-Hb concentrations could help determine optimal CRC screening intervals by identifying higher-risk individuals who could benefit from more frequent testing, while those with lower concentrations could be screened less frequently.

 

Study Details

The systematic review and meta-analysis are the first to focus on the dose-response relationship between f-Hb levels in prior FIT screenings and colorectal neoplasia detection, van den Berg said. It included 13 ethnically diverse studies published during 2011-2023 with 4,493,223 individuals from Spain, France, the Netherlands, Taiwan, Denmark, Scotland, Ireland, Korea, Italy, and Norway. Most studies were cohort-based, and one was a randomized controlled trial.

All studies demonstrated a positive association between f-Hb in previous screenings and colorectal neoplasia detection. Almost all reported the f-Hb concentration measured in the prior screening round, while one study combined the f-Hb concentration of two previous screening rounds by using the cumulative f-Hb value. There was, however, wide variability in the stool positivity cut-offs in the included studies, ranging from 10 μg f-Hb/g to 80 μg f-Hb/g.

With an overall effect size of 0.69 (95% CI, 0.59-0.79), pooled analysis revealed that in the next screening round, individuals with f-Hb concentrations in stool of 5, 10, 20, and 40 μg/g had a threefold, fivefold, eightfold, and 13-fold higher risk for colorectal neoplasia, respectively, vs individuals showing 0 μg/g. Although there was significant study heterogeneity (I2 = 97.5%, P < .001), sensitivity analyses confirmed the consistency of findings. Interestingly, subgroup analyses indicated that f-Hb concentrations from a previous negative test were especially predictive of advanced neoplasia in subsequent screenings.

“This is a strategy worth pursuing and evaluating in the United States,” said gastroenterologist Theodore R. Levin, MD, a research scientist at Kaiser Permanente Division of Research in Northern California, commenting on the study but not involved in it. “However, there is no currently available FIT brand in the US that reports f-Hb concentration. All FITs in the United States report as a qualitative positive-negative result.”

The Dutch investigation aligns with prior studies demonstrating a positive association between f-Hb concentrations in previous screenings and the detection of colorectal neoplasia. “Our working hypothesis was that risk increases in a decreasing manner as f-Hb concentrations rise, and the findings supported this hypothesis,” van den Berg said.

Other research has projected f-Hb level risk stratification to be effective and perhaps cost-effective in reducing delayed diagnosis of CRC.

 

Feasibility of Implementation

In large national screening programs in Europe, Asia, and Australia, as well as those of Kaiser Permanente and the Veterans Health Administration in the United States, information on f-Hb concentrations is already available.

“Therefore, incorporating an Hb-based approach should be relatively easy and affordable,” van den Berg said, and may help to optimize resource use while maintaining high detection rates. “However, the more critical question is whether such an approach would be acceptable to the target population.” To that end, randomized controlled trials in Italy and the Netherlands are offering tailored invitation intervals based on prior f-Hb concentrations and may provide insight into the real-world application of risk-stratified screening.

Among the many variables to be considered in the context of population-wide screening are cost-effectiveness, acceptability, and practicality, as well as invitation intervals, positivity cut-off levels, and start and stop ages for screening. “A key focus will be understanding the acceptability of risk-stratified colorectal cancer screening based on f-Hb among the target population and addressing any information needs they may have, as these are critical factors for successful implementation,” said van den Berg. Her group is currently studying the most effective and cost-effective risk-based strategy for CRC screening based on f-Hb levels.

The authors cautioned that since individuals with undetectable f-Hb levels make up the majority of those with negative FIT results, care must be taken that reducing screening frequency for this low-risk group does not lead to unfavorable outcomes at the population level.

This study was funded by the Dutch Organization for Scientific Research, which had no role in study design, data collection, analysis, interpretation, or writing. The authors declared no competing interests. Levin disclosed no competing interests relevant to his comments.

A version of this article first appeared on Medscape.com

The risk of detecting colorectal cancer (CRC) increases by up to 13-fold in the presence of prior fecal hemoglobin (f-Hb) concentrations in fecal immunochemical tests (FIT), especially negative ones, according to a large international dose-response meta-analysis.

Although the association with neoplasia decreased as f-Hb levels rose, the findings support the development of risk-stratified screening strategies based on these concentrations, according to researchers led by Danica M.N. van den Berg, MSc, a PhD candidate and econometrics researcher in the department of public health at Erasmus University Medical Center in Rotterdam, the Netherlands.

Higher f-Hb concentrations in prior negative screening tests are strongly associated with an increased risk of detecting colorectal neoplasia in subsequent screenings, van den Berg said in an interview. “Gastroenterologists and other clinicians should consider the value of f-Hb concentrations in refining screening protocols and personalizing patient care to detect colorectal neoplasia earlier and more accurately.”

Published in Gastroenterology, the study was prompted by prior research showing individuals with f-Hb concentrations just below the positivity cutoff had an elevated CRC risk vs those with low or no f-Hb. “However, global variations in FIT positivity cutoffs and f-Hb category definitions complicated cross-study comparisons,” van den Berg said. 

Given the lack of an established dose-response relationship, the study aimed to clarify how f-Hb levels in previous screenings correlate with colorectal neoplasia detection. “Understanding this relationship is crucial for developing risk-stratified colorectal cancer screening strategies based on prior FIT results, which could improve the harm-benefit balance of screening,” she said.

According to van den Berg, f-Hb concentrations could help determine optimal CRC screening intervals by identifying higher-risk individuals who could benefit from more frequent testing, while those with lower concentrations could be screened less frequently.

 

Study Details

The systematic review and meta-analysis are the first to focus on the dose-response relationship between f-Hb levels in prior FIT screenings and colorectal neoplasia detection, van den Berg said. It included 13 ethnically diverse studies published during 2011-2023 with 4,493,223 individuals from Spain, France, the Netherlands, Taiwan, Denmark, Scotland, Ireland, Korea, Italy, and Norway. Most studies were cohort-based, and one was a randomized controlled trial.

All studies demonstrated a positive association between f-Hb in previous screenings and colorectal neoplasia detection. Almost all reported the f-Hb concentration measured in the prior screening round, while one study combined the f-Hb concentration of two previous screening rounds by using the cumulative f-Hb value. There was, however, wide variability in the stool positivity cut-offs in the included studies, ranging from 10 μg f-Hb/g to 80 μg f-Hb/g.

With an overall effect size of 0.69 (95% CI, 0.59-0.79), pooled analysis revealed that in the next screening round, individuals with f-Hb concentrations in stool of 5, 10, 20, and 40 μg/g had a threefold, fivefold, eightfold, and 13-fold higher risk for colorectal neoplasia, respectively, vs individuals showing 0 μg/g. Although there was significant study heterogeneity (I2 = 97.5%, P < .001), sensitivity analyses confirmed the consistency of findings. Interestingly, subgroup analyses indicated that f-Hb concentrations from a previous negative test were especially predictive of advanced neoplasia in subsequent screenings.

“This is a strategy worth pursuing and evaluating in the United States,” said gastroenterologist Theodore R. Levin, MD, a research scientist at Kaiser Permanente Division of Research in Northern California, commenting on the study but not involved in it. “However, there is no currently available FIT brand in the US that reports f-Hb concentration. All FITs in the United States report as a qualitative positive-negative result.”

The Dutch investigation aligns with prior studies demonstrating a positive association between f-Hb concentrations in previous screenings and the detection of colorectal neoplasia. “Our working hypothesis was that risk increases in a decreasing manner as f-Hb concentrations rise, and the findings supported this hypothesis,” van den Berg said.

Other research has projected f-Hb level risk stratification to be effective and perhaps cost-effective in reducing delayed diagnosis of CRC.

 

Feasibility of Implementation

In large national screening programs in Europe, Asia, and Australia, as well as those of Kaiser Permanente and the Veterans Health Administration in the United States, information on f-Hb concentrations is already available.

“Therefore, incorporating an Hb-based approach should be relatively easy and affordable,” van den Berg said, and may help to optimize resource use while maintaining high detection rates. “However, the more critical question is whether such an approach would be acceptable to the target population.” To that end, randomized controlled trials in Italy and the Netherlands are offering tailored invitation intervals based on prior f-Hb concentrations and may provide insight into the real-world application of risk-stratified screening.

Among the many variables to be considered in the context of population-wide screening are cost-effectiveness, acceptability, and practicality, as well as invitation intervals, positivity cut-off levels, and start and stop ages for screening. “A key focus will be understanding the acceptability of risk-stratified colorectal cancer screening based on f-Hb among the target population and addressing any information needs they may have, as these are critical factors for successful implementation,” said van den Berg. Her group is currently studying the most effective and cost-effective risk-based strategy for CRC screening based on f-Hb levels.

The authors cautioned that since individuals with undetectable f-Hb levels make up the majority of those with negative FIT results, care must be taken that reducing screening frequency for this low-risk group does not lead to unfavorable outcomes at the population level.

This study was funded by the Dutch Organization for Scientific Research, which had no role in study design, data collection, analysis, interpretation, or writing. The authors declared no competing interests. Levin disclosed no competing interests relevant to his comments.

A version of this article first appeared on Medscape.com

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Lung Cancer Screening Is the Push Smokers Need to Quit

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Quitting smoking is challenging, particularly when resources are limited. A recent study in the United States confirmed that an intensive program combining behavioral therapy and medication, linked to a lung cancer screening program, offers the highest success rate. However, its long-term success was similar to that of telephone counseling and drug therapy.

Pulmonologist and experienced smoking cessation specialist from Stuttgart, Germany, Alexander Rupp, MD, emphasized the importance of leveraging routine healthcare interactions to encourage smoking cessation. “Although every doctor-patient contact offers the opportunity to discuss the risks of smoking and the opportunities for smoking cessation, the ‘window of opportunity’ is very wide, especially during lung cancer screening,” he said.

Germany is preparing to launch a lung cancer screening program for high-risk individuals, primarily current smokers and former smokers. Following the establishment of radiation protection regulations for such a program last year, the German Federal Joint Committee is currently working on its design. The initiative could be a game-changer for smoking cessation.

Lung cancer screening has been available for smokers in the United States for some time. Paul M. Cinciripini, PhD, and colleagues from the University of Texas MD Anderson Cancer Center, Houston, examined three smoking cessation strategies with decreasing treatment intensity among screening participants.

 

Unique Opportunity

Previous studies have shown that participation in a lung cancer screening program — typically offered only to high-risk individuals — significantly increases motivation to quit smoking.

“Repeated contact with doctors, repeated CT scans, and especially the findings that require monitoring all contribute to this effect,” explained Rupp, who regularly offers smoking cessation courses.

It has long been known how smoking cessation works best. “The gold standard is a combination of behavioral therapy support and drug treatment — if there is an addiction and withdrawal symptoms occur after quitting, which is the case for the majority of smokers,” Rupp explained.

The US study reinforced what is already well known: More intensive treatment approaches lead to higher quit rates.

“We know that the more intensively we look after smokers, the higher the quit rate. This applies in both areas: The more therapy sessions we do and the more often we prescribe medication, the more likely the patients are to succeed in remaining abstinent,” Rupp said.

However, resources for intensive smoking cessation programs are limited. A database maintained by the German Cancer Research Center and the German Federal Center for Health Education lists only 455 providers of smoking cessation courses in Germany, “not all of which even work on an evidence-based basis,” Rupp emphasized. Given that there are around 16 million smokers in Germany, there is an urgent need for smoking cessation programs that are less resource-intensive.

 

Intensity Variations

The US study compared three smoking cessation strategies of varying intensities, integrating behavioral counseling and medication.

Group 1: An integrated program with eight behavioral therapy sessions and 10-12 weeks of nicotine replacement therapy or medication (bupropion or varenicline).

Group 2: Lighter version of the integrated program. It consisted of four telephone consultations, written materials, online support, and 12 weeks of nicotine replacement therapy or medication prescribed by a radiologist.

Group 3: The least intensive approach, with 12 weeks of nicotine replacement therapy alone.

Each strategy was evaluated in 210 lung cancer screening participants aged 55-64 years who smoked an average of 15-20 cigarettes per day.

After 3 months, significantly more participants in the most intensive program (Group 1, 37.1%) had quit smoking than those in the other two groups (Group 2, 27.1%; Group 3, 25.2%).

But after 6 months, the difference between Groups 1 and 2 was not significant. The quit rates were as follows: Group 1, 32.4%; Group 2, 27.6%; and Group 3, 20.5%.

“It can be concluded from these results that the intensity of smoking cessation can be reduced to a certain extent as long as the combination of behavioral counseling and medication is given,” Rupp concluded.

 

Digital Solutions

Another new possibility, which was not examined in the US study, is digital health applications.

Smoke Free is a digital health application that provides behavioral therapy support for smoking cessation and is available in both German and English. Designed to replicate structured smoking cessation programs and offers an accessible alternative for individuals seeking to quit smoking.

Rupp emphasized the potential of digital tools like Smoke Free to expand access to effective smoking cessation strategies, particularly for those unable to attend in-person programs. While traditional cessation programs are limited in availability, digital apps can increase engagement in and adherence to smoking cessation efforts.

However, the biggest hurdle is smokers’ procrastination: “If you make smokers an offer, they usually do not take action afterward because they are caught in their ambivalence about whether they should quit or not.”

 

Policy Implications

This makes smoking cessation a mandatory component of lung cancer screening in the future. “It’s about cancer, and patients are really afraid of that,” Rupp advocated.

In a position paper, the German Respiratory Society, supported by multiple medical societies, has called for smoking cessation to be integrated into lung cancer screening protocols, with full coverage of counseling and medication by health insurance.

“Smoking cessation must be a mandatory component. If a participant in the lung cancer screening does not want this, then he or she must actively object,” stressed Rupp, lead author of the position paper. Also, the costs of smoking cessation, including those of withdrawal-inhibiting medication, must be fully covered by statutory health insurance, which has not been the case to date.

“That’s the only thing that makes sense. You can’t deny an addict access to proven treatments, especially when we know that a smoker who quits spontaneously without support has a relapse rate of 95%-97%, and the medication per se increases the quit rate by a factor of two or three,” Rupp concluded.

This story was translated and adapted from Medscape’s German edition using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article appeared on Medscape.com.

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Quitting smoking is challenging, particularly when resources are limited. A recent study in the United States confirmed that an intensive program combining behavioral therapy and medication, linked to a lung cancer screening program, offers the highest success rate. However, its long-term success was similar to that of telephone counseling and drug therapy.

Pulmonologist and experienced smoking cessation specialist from Stuttgart, Germany, Alexander Rupp, MD, emphasized the importance of leveraging routine healthcare interactions to encourage smoking cessation. “Although every doctor-patient contact offers the opportunity to discuss the risks of smoking and the opportunities for smoking cessation, the ‘window of opportunity’ is very wide, especially during lung cancer screening,” he said.

Germany is preparing to launch a lung cancer screening program for high-risk individuals, primarily current smokers and former smokers. Following the establishment of radiation protection regulations for such a program last year, the German Federal Joint Committee is currently working on its design. The initiative could be a game-changer for smoking cessation.

Lung cancer screening has been available for smokers in the United States for some time. Paul M. Cinciripini, PhD, and colleagues from the University of Texas MD Anderson Cancer Center, Houston, examined three smoking cessation strategies with decreasing treatment intensity among screening participants.

 

Unique Opportunity

Previous studies have shown that participation in a lung cancer screening program — typically offered only to high-risk individuals — significantly increases motivation to quit smoking.

“Repeated contact with doctors, repeated CT scans, and especially the findings that require monitoring all contribute to this effect,” explained Rupp, who regularly offers smoking cessation courses.

It has long been known how smoking cessation works best. “The gold standard is a combination of behavioral therapy support and drug treatment — if there is an addiction and withdrawal symptoms occur after quitting, which is the case for the majority of smokers,” Rupp explained.

The US study reinforced what is already well known: More intensive treatment approaches lead to higher quit rates.

“We know that the more intensively we look after smokers, the higher the quit rate. This applies in both areas: The more therapy sessions we do and the more often we prescribe medication, the more likely the patients are to succeed in remaining abstinent,” Rupp said.

However, resources for intensive smoking cessation programs are limited. A database maintained by the German Cancer Research Center and the German Federal Center for Health Education lists only 455 providers of smoking cessation courses in Germany, “not all of which even work on an evidence-based basis,” Rupp emphasized. Given that there are around 16 million smokers in Germany, there is an urgent need for smoking cessation programs that are less resource-intensive.

 

Intensity Variations

The US study compared three smoking cessation strategies of varying intensities, integrating behavioral counseling and medication.

Group 1: An integrated program with eight behavioral therapy sessions and 10-12 weeks of nicotine replacement therapy or medication (bupropion or varenicline).

Group 2: Lighter version of the integrated program. It consisted of four telephone consultations, written materials, online support, and 12 weeks of nicotine replacement therapy or medication prescribed by a radiologist.

Group 3: The least intensive approach, with 12 weeks of nicotine replacement therapy alone.

Each strategy was evaluated in 210 lung cancer screening participants aged 55-64 years who smoked an average of 15-20 cigarettes per day.

After 3 months, significantly more participants in the most intensive program (Group 1, 37.1%) had quit smoking than those in the other two groups (Group 2, 27.1%; Group 3, 25.2%).

But after 6 months, the difference between Groups 1 and 2 was not significant. The quit rates were as follows: Group 1, 32.4%; Group 2, 27.6%; and Group 3, 20.5%.

“It can be concluded from these results that the intensity of smoking cessation can be reduced to a certain extent as long as the combination of behavioral counseling and medication is given,” Rupp concluded.

 

Digital Solutions

Another new possibility, which was not examined in the US study, is digital health applications.

Smoke Free is a digital health application that provides behavioral therapy support for smoking cessation and is available in both German and English. Designed to replicate structured smoking cessation programs and offers an accessible alternative for individuals seeking to quit smoking.

Rupp emphasized the potential of digital tools like Smoke Free to expand access to effective smoking cessation strategies, particularly for those unable to attend in-person programs. While traditional cessation programs are limited in availability, digital apps can increase engagement in and adherence to smoking cessation efforts.

However, the biggest hurdle is smokers’ procrastination: “If you make smokers an offer, they usually do not take action afterward because they are caught in their ambivalence about whether they should quit or not.”

 

Policy Implications

This makes smoking cessation a mandatory component of lung cancer screening in the future. “It’s about cancer, and patients are really afraid of that,” Rupp advocated.

In a position paper, the German Respiratory Society, supported by multiple medical societies, has called for smoking cessation to be integrated into lung cancer screening protocols, with full coverage of counseling and medication by health insurance.

“Smoking cessation must be a mandatory component. If a participant in the lung cancer screening does not want this, then he or she must actively object,” stressed Rupp, lead author of the position paper. Also, the costs of smoking cessation, including those of withdrawal-inhibiting medication, must be fully covered by statutory health insurance, which has not been the case to date.

“That’s the only thing that makes sense. You can’t deny an addict access to proven treatments, especially when we know that a smoker who quits spontaneously without support has a relapse rate of 95%-97%, and the medication per se increases the quit rate by a factor of two or three,” Rupp concluded.

This story was translated and adapted from Medscape’s German edition using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article appeared on Medscape.com.

Quitting smoking is challenging, particularly when resources are limited. A recent study in the United States confirmed that an intensive program combining behavioral therapy and medication, linked to a lung cancer screening program, offers the highest success rate. However, its long-term success was similar to that of telephone counseling and drug therapy.

Pulmonologist and experienced smoking cessation specialist from Stuttgart, Germany, Alexander Rupp, MD, emphasized the importance of leveraging routine healthcare interactions to encourage smoking cessation. “Although every doctor-patient contact offers the opportunity to discuss the risks of smoking and the opportunities for smoking cessation, the ‘window of opportunity’ is very wide, especially during lung cancer screening,” he said.

Germany is preparing to launch a lung cancer screening program for high-risk individuals, primarily current smokers and former smokers. Following the establishment of radiation protection regulations for such a program last year, the German Federal Joint Committee is currently working on its design. The initiative could be a game-changer for smoking cessation.

Lung cancer screening has been available for smokers in the United States for some time. Paul M. Cinciripini, PhD, and colleagues from the University of Texas MD Anderson Cancer Center, Houston, examined three smoking cessation strategies with decreasing treatment intensity among screening participants.

 

Unique Opportunity

Previous studies have shown that participation in a lung cancer screening program — typically offered only to high-risk individuals — significantly increases motivation to quit smoking.

“Repeated contact with doctors, repeated CT scans, and especially the findings that require monitoring all contribute to this effect,” explained Rupp, who regularly offers smoking cessation courses.

It has long been known how smoking cessation works best. “The gold standard is a combination of behavioral therapy support and drug treatment — if there is an addiction and withdrawal symptoms occur after quitting, which is the case for the majority of smokers,” Rupp explained.

The US study reinforced what is already well known: More intensive treatment approaches lead to higher quit rates.

“We know that the more intensively we look after smokers, the higher the quit rate. This applies in both areas: The more therapy sessions we do and the more often we prescribe medication, the more likely the patients are to succeed in remaining abstinent,” Rupp said.

However, resources for intensive smoking cessation programs are limited. A database maintained by the German Cancer Research Center and the German Federal Center for Health Education lists only 455 providers of smoking cessation courses in Germany, “not all of which even work on an evidence-based basis,” Rupp emphasized. Given that there are around 16 million smokers in Germany, there is an urgent need for smoking cessation programs that are less resource-intensive.

 

Intensity Variations

The US study compared three smoking cessation strategies of varying intensities, integrating behavioral counseling and medication.

Group 1: An integrated program with eight behavioral therapy sessions and 10-12 weeks of nicotine replacement therapy or medication (bupropion or varenicline).

Group 2: Lighter version of the integrated program. It consisted of four telephone consultations, written materials, online support, and 12 weeks of nicotine replacement therapy or medication prescribed by a radiologist.

Group 3: The least intensive approach, with 12 weeks of nicotine replacement therapy alone.

Each strategy was evaluated in 210 lung cancer screening participants aged 55-64 years who smoked an average of 15-20 cigarettes per day.

After 3 months, significantly more participants in the most intensive program (Group 1, 37.1%) had quit smoking than those in the other two groups (Group 2, 27.1%; Group 3, 25.2%).

But after 6 months, the difference between Groups 1 and 2 was not significant. The quit rates were as follows: Group 1, 32.4%; Group 2, 27.6%; and Group 3, 20.5%.

“It can be concluded from these results that the intensity of smoking cessation can be reduced to a certain extent as long as the combination of behavioral counseling and medication is given,” Rupp concluded.

 

Digital Solutions

Another new possibility, which was not examined in the US study, is digital health applications.

Smoke Free is a digital health application that provides behavioral therapy support for smoking cessation and is available in both German and English. Designed to replicate structured smoking cessation programs and offers an accessible alternative for individuals seeking to quit smoking.

Rupp emphasized the potential of digital tools like Smoke Free to expand access to effective smoking cessation strategies, particularly for those unable to attend in-person programs. While traditional cessation programs are limited in availability, digital apps can increase engagement in and adherence to smoking cessation efforts.

However, the biggest hurdle is smokers’ procrastination: “If you make smokers an offer, they usually do not take action afterward because they are caught in their ambivalence about whether they should quit or not.”

 

Policy Implications

This makes smoking cessation a mandatory component of lung cancer screening in the future. “It’s about cancer, and patients are really afraid of that,” Rupp advocated.

In a position paper, the German Respiratory Society, supported by multiple medical societies, has called for smoking cessation to be integrated into lung cancer screening protocols, with full coverage of counseling and medication by health insurance.

“Smoking cessation must be a mandatory component. If a participant in the lung cancer screening does not want this, then he or she must actively object,” stressed Rupp, lead author of the position paper. Also, the costs of smoking cessation, including those of withdrawal-inhibiting medication, must be fully covered by statutory health insurance, which has not been the case to date.

“That’s the only thing that makes sense. You can’t deny an addict access to proven treatments, especially when we know that a smoker who quits spontaneously without support has a relapse rate of 95%-97%, and the medication per se increases the quit rate by a factor of two or three,” Rupp concluded.

This story was translated and adapted from Medscape’s German edition using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article appeared on Medscape.com.

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Headache Strongly Linked to Attempted, Completed Suicide

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Headache, including migraine, tension-type, trigeminal autonomic cephalalgia (TAC), and posttraumatic stress headache are significantly associated with both attempted and completed suicide, results of a large study suggested.

The risk for attempted and completed suicide was more than threefold higher for individuals with posttraumatic headache and about twofold higher for those with TAC than their counterparts without headache.

Even those with tension-type headache, one of the milder headache types, carried nearly a twofold increased risk for attempted suicide vs the comparison group with no headache.

First author Holly Elser, MD, MPH, PhD, a resident physician in the Department of Neurology at the University of Pennsylvania, Philadelphia, told Medscape Medical News that the findings were “quite striking” and underscore the importance of screening for suicide risk even in patients with mild headache.

The findings were published online on February 3 in JAMA Neurology.

Common, Disabling 

With an estimated global lifetime prevalence of 67%, headache disorders are a leading cause of productivity loss, work absences, and short-term disability.

The mechanisms linking headache disorders to suicide remain unclear for several reasons, the investigators noted.

First, the relationship between headache and psychiatric comorbidities may be complex and bidirectional, with psychiatric symptoms potentially exacerbating headache severity and frequency, the investigators noted.

Secondly, research has shown a consistent link between chronic pain and suicidality, even after adjusting for comorbid psychiatric conditions. Finally, disruptions in serotonergic pathways and increased production of inflammatory cytokines may contribute to both headache disorders and psychiatric symptoms, suggesting a shared biological basis.

The mechanisms linking headache disorders to suicide remain unclear for several reasons, the investigators noted.

First, the relationship between headache and psychiatric comorbidities may be complex and bidirectional, with psychiatric symptoms potentially exacerbating headache severity and frequency, the investigators noted.

Secondly, research has shown a consistent link between chronic pain and suicidality, even after adjusting for comorbid psychiatric conditions. Finally, disruptions in serotonergic pathways and increased production of inflammatory cytokines may contribute to both headache disorders and psychiatric symptoms, suggesting a shared biological basis.

“Patients diagnosed with headache with comorbid psychiatric symptoms may benefit in particular from comanagement with behavioral health specialists,” she added.

Not ‘Just Headaches’

In an interview with Medscape Medical News, Fred Cohen, MD, an assistant professor of medicine and neurology at the Icahn School of Medicine at Mount Sinai Hospital, New York City, shared his perspective on the findings. Cohen, who was not involved in the study agreed with Elser’s point and incorporated screening into his practice.

“As part of my routine at every new patient appointment, I conduct screenings for depression and suicide risk. If a patient responds affirmatively to any of these questions, I make sure they get connected to the mental health resources they need,” Cohen said.

At least one of his patients per week screens positive for depression, he noted.

“Primary headaches, including migraine and trigeminal autonomic cephalalgias, are a significant source of disability and suffering,” said Cohen, adding that migraine, in particular, is the leading cause of disability worldwide among women aged 18-50 years. “These conditions are often misunderstood and dismissed as ‘just headaches,’ when in reality, they are much more complex and debilitating.”

Given that depression and anxiety are common co-occurring conditions with primary headache disorders, he said, “depression screenings should be standard practice when evaluating patients with headaches.”

The study’s limitations include dependence on diagnosis codes, which are prone to misclassification, and lack of information about headache chronicity and severity, which could have affected the findings.

There was no information provided about study funding. Elser and Cohen reported no relevant financial relationships.

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Headache, including migraine, tension-type, trigeminal autonomic cephalalgia (TAC), and posttraumatic stress headache are significantly associated with both attempted and completed suicide, results of a large study suggested.

The risk for attempted and completed suicide was more than threefold higher for individuals with posttraumatic headache and about twofold higher for those with TAC than their counterparts without headache.

Even those with tension-type headache, one of the milder headache types, carried nearly a twofold increased risk for attempted suicide vs the comparison group with no headache.

First author Holly Elser, MD, MPH, PhD, a resident physician in the Department of Neurology at the University of Pennsylvania, Philadelphia, told Medscape Medical News that the findings were “quite striking” and underscore the importance of screening for suicide risk even in patients with mild headache.

The findings were published online on February 3 in JAMA Neurology.

Common, Disabling 

With an estimated global lifetime prevalence of 67%, headache disorders are a leading cause of productivity loss, work absences, and short-term disability.

The mechanisms linking headache disorders to suicide remain unclear for several reasons, the investigators noted.

First, the relationship between headache and psychiatric comorbidities may be complex and bidirectional, with psychiatric symptoms potentially exacerbating headache severity and frequency, the investigators noted.

Secondly, research has shown a consistent link between chronic pain and suicidality, even after adjusting for comorbid psychiatric conditions. Finally, disruptions in serotonergic pathways and increased production of inflammatory cytokines may contribute to both headache disorders and psychiatric symptoms, suggesting a shared biological basis.

The mechanisms linking headache disorders to suicide remain unclear for several reasons, the investigators noted.

First, the relationship between headache and psychiatric comorbidities may be complex and bidirectional, with psychiatric symptoms potentially exacerbating headache severity and frequency, the investigators noted.

Secondly, research has shown a consistent link between chronic pain and suicidality, even after adjusting for comorbid psychiatric conditions. Finally, disruptions in serotonergic pathways and increased production of inflammatory cytokines may contribute to both headache disorders and psychiatric symptoms, suggesting a shared biological basis.

“Patients diagnosed with headache with comorbid psychiatric symptoms may benefit in particular from comanagement with behavioral health specialists,” she added.

Not ‘Just Headaches’

In an interview with Medscape Medical News, Fred Cohen, MD, an assistant professor of medicine and neurology at the Icahn School of Medicine at Mount Sinai Hospital, New York City, shared his perspective on the findings. Cohen, who was not involved in the study agreed with Elser’s point and incorporated screening into his practice.

“As part of my routine at every new patient appointment, I conduct screenings for depression and suicide risk. If a patient responds affirmatively to any of these questions, I make sure they get connected to the mental health resources they need,” Cohen said.

At least one of his patients per week screens positive for depression, he noted.

“Primary headaches, including migraine and trigeminal autonomic cephalalgias, are a significant source of disability and suffering,” said Cohen, adding that migraine, in particular, is the leading cause of disability worldwide among women aged 18-50 years. “These conditions are often misunderstood and dismissed as ‘just headaches,’ when in reality, they are much more complex and debilitating.”

Given that depression and anxiety are common co-occurring conditions with primary headache disorders, he said, “depression screenings should be standard practice when evaluating patients with headaches.”

The study’s limitations include dependence on diagnosis codes, which are prone to misclassification, and lack of information about headache chronicity and severity, which could have affected the findings.

There was no information provided about study funding. Elser and Cohen reported no relevant financial relationships.

Headache, including migraine, tension-type, trigeminal autonomic cephalalgia (TAC), and posttraumatic stress headache are significantly associated with both attempted and completed suicide, results of a large study suggested.

The risk for attempted and completed suicide was more than threefold higher for individuals with posttraumatic headache and about twofold higher for those with TAC than their counterparts without headache.

Even those with tension-type headache, one of the milder headache types, carried nearly a twofold increased risk for attempted suicide vs the comparison group with no headache.

First author Holly Elser, MD, MPH, PhD, a resident physician in the Department of Neurology at the University of Pennsylvania, Philadelphia, told Medscape Medical News that the findings were “quite striking” and underscore the importance of screening for suicide risk even in patients with mild headache.

The findings were published online on February 3 in JAMA Neurology.

Common, Disabling 

With an estimated global lifetime prevalence of 67%, headache disorders are a leading cause of productivity loss, work absences, and short-term disability.

The mechanisms linking headache disorders to suicide remain unclear for several reasons, the investigators noted.

First, the relationship between headache and psychiatric comorbidities may be complex and bidirectional, with psychiatric symptoms potentially exacerbating headache severity and frequency, the investigators noted.

Secondly, research has shown a consistent link between chronic pain and suicidality, even after adjusting for comorbid psychiatric conditions. Finally, disruptions in serotonergic pathways and increased production of inflammatory cytokines may contribute to both headache disorders and psychiatric symptoms, suggesting a shared biological basis.

The mechanisms linking headache disorders to suicide remain unclear for several reasons, the investigators noted.

First, the relationship between headache and psychiatric comorbidities may be complex and bidirectional, with psychiatric symptoms potentially exacerbating headache severity and frequency, the investigators noted.

Secondly, research has shown a consistent link between chronic pain and suicidality, even after adjusting for comorbid psychiatric conditions. Finally, disruptions in serotonergic pathways and increased production of inflammatory cytokines may contribute to both headache disorders and psychiatric symptoms, suggesting a shared biological basis.

“Patients diagnosed with headache with comorbid psychiatric symptoms may benefit in particular from comanagement with behavioral health specialists,” she added.

Not ‘Just Headaches’

In an interview with Medscape Medical News, Fred Cohen, MD, an assistant professor of medicine and neurology at the Icahn School of Medicine at Mount Sinai Hospital, New York City, shared his perspective on the findings. Cohen, who was not involved in the study agreed with Elser’s point and incorporated screening into his practice.

“As part of my routine at every new patient appointment, I conduct screenings for depression and suicide risk. If a patient responds affirmatively to any of these questions, I make sure they get connected to the mental health resources they need,” Cohen said.

At least one of his patients per week screens positive for depression, he noted.

“Primary headaches, including migraine and trigeminal autonomic cephalalgias, are a significant source of disability and suffering,” said Cohen, adding that migraine, in particular, is the leading cause of disability worldwide among women aged 18-50 years. “These conditions are often misunderstood and dismissed as ‘just headaches,’ when in reality, they are much more complex and debilitating.”

Given that depression and anxiety are common co-occurring conditions with primary headache disorders, he said, “depression screenings should be standard practice when evaluating patients with headaches.”

The study’s limitations include dependence on diagnosis codes, which are prone to misclassification, and lack of information about headache chronicity and severity, which could have affected the findings.

There was no information provided about study funding. Elser and Cohen reported no relevant financial relationships.

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Impact of 3 Months of Supervised Exercise on Function by Arthritis Status

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Impact of 3 Months of Supervised Exercise on Function by Arthritis Status

About half of US adults aged ≥ 65 years report arthritis, and of those, 44% have an arthritis-attributable activity limitation.1,2 Arthritis is a significant health issue for veterans, with veterans reporting higher rates of disability compared with the civilian population.3

Osteoarthritis (OA) is the most common type of arthritis.4 Among individuals aged ≥ 40 years, the incidence of OA is nearly twice as high among veterans compared with civilians and is a leading cause of separation from military service and disability.5,6 OA pain and disability have been shown to be associated with increases in health care and medication use, including opioids, nonsteroidal anti-inflammatory medications, and muscle relaxants.7,8 Because OA is chronic and has no cure, safe and effective management strategies—such as exercise— are critical to minimize pain and maintain physical function.9

Exercise can reduce pain and disability associated with OA and is a first-line recommendation in guidelines for the treatment of knee and hip OA.9 Given the limited exercise and high levels of physical inactivity among veterans with OA, there is a need to identify opportunities that support veterans with OA engaging in regular exercise.

Gerofit, an outpatient clinical exercise program available at 30 Veterans Health Administration (VHA) sites, may provide an opportunity for older veterans with arthritis to engage in exercise.10 Gerofit is specifically designed for veterans aged ≥ 65 years. It is not disease-specific and supports older veterans with multiple chronic conditions, including OA. Veterans aged ≥ 65 years with a referral from a VA clinician are eligible for Gerofit. Those who are unable to perform activities of daily living; unable to independently function without assistance; have a history of unstable angina, proliferative diabetic retinopathy, oxygen dependence, volatile behavioral issues, or are unable to work successfully in a group environment/setting; experience active substance abuse, homelessness, or uncontrolled incontinence; and have open wounds that cannot be appropriately dressed are excluded from Gerofit. Exercise sessions are held 3 times per week and last from 60 to 90 minutes. Sessions are supervised by Gerofit staff and include personalized exercise prescriptions based on functional assessments. Exercise prescriptions include aerobic, resistance, and balance/flexibility components and are modified by the Gerofit program staff as needed. Gerofit adopts a functional fitness approach and includes individual progression as appropriate according to evidence-based guidelines, using the Borg ratings of perceived exertion. 11 Assessments are performed at baseline, 3 months, 6 months, and annually thereafter. Clinical staff conduct all assessments, including physical function testing, and record them in a database. Assessments are reviewed with the veteran to chart progress and identify future goals or needs. Veterans perform personalized self-paced exercises in the Gerofit group setting. Exercise prescriptions are continuously modified to meet individualized needs and goals. Veterans may participate continuously with no end date.

Participation in supervised exercise is associated with improved physical function and individuals with arthritis can improve function even though their baseline functional status is lower than individuals without arthritis. 12 In this analysis, we examine the impact of exercise on the status and location of arthritis (upper body, lower body, or both). Lower body arthritis is more common than upper body arthritis and lower extremity function is associated with increased ability to perform activities of daily living, resulting in independence among older adults.13,14 We also include upper body strength measures to capture important functional movements such as reaching and pulling.15 Among those who participate in Gerofit, the greatest gains in physical function occur during the initial 3 months, which tend to be sustained over 12 months.16 For this reason, this study focused on the initial 3 months of the program.

Older adults with arthritis may have pain and functional limitations that exceed those of the general older adult population. Exercise programs for older adults that do not specifically target arthritis but are able to improve physical function among those with arthritis could potentially increase access to exercise for older adults living with arthritis. Therefore, the purpose of this study was to determine whether change in physical function with participation in Gerofit for 3 months varies by arthritis status, including no arthritis, any arthritis, lower body arthritis, or both upper and lower body arthritis compared with no arthritis.

Methods

This is a secondary analysis of previously collected data from 10 VHA Gerofit sites (Ann Arbor, Baltimore, Greater Los Angeles, Canandaigua, Cincinnati, Miami, Honolulu, Denver, Durham, and Pittsburgh) from 2002 to 2019. Implementation data regarding the consistency of the program delivery at Gerofit expansion sites have been previously published.16 Although the delivery of Gerofit transitioned to telehealth due to COVID-19, data for this analysis were collected from in-person exercise sessions prior to the pandemic.17 Data were collected for clinical purposes. This project was part of the Gerofit quality improvement initiative and was reviewed and approved by the Durham Institutional Review Board as quality improvement.

Participants in Gerofit who completed baseline and 3-month assessments were included to analyze the effects of exercise on physical function. At each of the time points, physical functional assessments included: (1) usual gait speed (> 10 meters [m/s], or 10- meter walk test [10MWT]); (2) lower body strength (chair stands [number completed in 30 seconds]); (3) upper body strength (number of arm curls [5-lb for females/8-lb for males] completed in 30 seconds); and (4) 6-minute walk distance [6MWD] in meters to measure aerobic endurance). These measures have been validated in older adults.18-21 Arm curls were added to the physical function assessments after the 10MWT, chair stands, and 6MWD; therefore, fewer participants had data for this measure. Participants self-reported at baseline on 45 common medical conditions, including arthritis or rheumatism (both upper body and lower body were offered as choices). Self-reporting has been shown to be an acceptable method of identifying arthritis in adults.22

Descriptive statistics at baseline were calculated for all participants. One-way analysis of variance and X2 tests were used to determine differences in baseline characteristics across arthritis status. The primary outcomes were changes in physical function measures from baseline to 3 months by arthritis status. Arthritis status was defined as: any arthritis, which includes individuals who reported upper body arthritis, lower body arthritis, or both; and arthritis status individuals reporting either upper body arthritis, lower body arthritis, or both. Categories of arthritis for arthritis status were mutually exclusive. Two separate linear models were constructed for each of the 4 physical function measures, with change from baseline to 3 months as the outcome (dependent variable) and arthritis status, age, and body mass index (BMI) as predictors (independent variables). The first model compared any arthritis with no arthritis and the second model compared arthritis status (both upper and lower body arthritis vs lower body arthritis) with no arthritis. These models were used to obtain mean changes and 95% CIs in physical function and to test for differences in the change in physical function measures by arthritis status. Statistical analyses were performed using R software, version 4.0.3.

Results

Baseline and 3-month data were available for 737 Gerofit participants and included in the analysis. The mean (SD) age was 73.5 (7.1) years. A total of 707 participants were male (95.9%) and 322 (43.6%) reported some arthritis, with arthritis in both the upper and lower body being reported by 168 participants (52.2%) (Table 1). There were no differences in age, sex, or race for those with any arthritis compared with those with no arthritis, but BMI was significantly higher in those reporting any arthritis compared with no arthritis. For the baseline functional measures, statistically significant differences were observed between those with no arthritis and those reporting any arthritis for the 10MWT (P = .001), chair stands (P = .046), and 6MWD (P = .001), but not for arm curls (P = .77), with those with no arthritis performing better.

FDP04202100_T1

All 4 arthritis status groups showed improvements in each of the physical function measures over 3 months. For the 10MWT the mean change (95% CI) in gait speed (m/s) was 0.06 (0.04-0.08) for patients with no arthritis, 0.07 (0.05- 0.08) for any arthritis, 0.07 (0.04-0.11) for lower body arthritis, and 0.07 (0.04- 0.09) for both lower and upper body arthritis. For the number of arm curls in 30 seconds the mean change (95% CI) was 2.3 (1.8-2.8) for patients with no arthritis, 2.1 (1.5-2.6) for any arthritis, 2.0 (1.1-3.0) for lower body arthritis, and 1.9 (1.1-2.7) for both lower and upper body arthritis. For the number of chair stands in 30 seconds the mean change (95% CI) was 2.1 (1.7-2.4) for patients with no arthritis, 2.2 (1.8-2.6) for any arthritis, 2.3 (1.6-2.9), for lower body arthritis, and 2.0 (1.5-2.5) for both lower and upper body arthritis. For the 6MWD distance in meters the mean change (95% CI) was 21.5 (15.5-27.4) for patients with no arthritis, 28.6 (21.9-35.3) for any arthritis, 30.4 (19.5-41.3) for lower body arthritis, and 28.6 (19.2-38.0) for both lower and upper body arthritis (Figure).

FDP04202100_F1

We used 2 models to measure the change from baseline to 3 months for each of the arthritis groups. Model 1 compared any arthritis vs no arthritis and model 2 compared lower body arthritis and both upper and lower body arthritis vs no arthritis for each physical function measure (Table 2). There were no statistically significant differences in 3-month change in physical function for any of the physical function measures between arthritis groups after adjusting for age and BMI.

FDP04202100_T2

Discussion

Participation in Gerofit was associated with functional gains among all participants over 3 months, regardless of arthritis status. Older veterans reporting any arthritis had significantly lower physical function scores upon enrollment into Gerofit compared with those veterans reporting no arthritis. However, compared with individuals who reported no arthritis, individuals who reported arthritis (any arthritis, lower body arthritis only, or both lower and upper body arthritis) experienced similar improvements (ie, no statistically significant differences in mean change from baseline to follow-up among those with and without arthritis). This study suggests that progressive, multicomponent exercise programs for older adults may be beneficial for those with arthritis.

Involvement of multiple sites of arthritis is associated with moderate to severe functional limitations as well as lower healthrelated quality of life.23 While it has been found that individuals with arthritis can improve function with supervised exercise, even though their baseline functional status is lower than individuals without arthritis, it was not clear whether individuals with multiple joint involvement also would benefit.12 The results of this study suggest that these individuals can improve across various domains of physical function despite variation in arthritis location and status. As incidence of arthritis increases with age, targeting older adults for exercise programs such as Gerofit may improve functional limitations and health-related quality of life associated with arthritis.2

We evaluated physical function using multiple measures to assess upper (arm curls) and lower (chair stands, 10MWT) extremity physical function and aerobic endurance (6MWD). Participants in this study reached clinically meaningful changes with 3 months of participation in Gerofit for most of the physical function measures. Gerofit participants had a mean gait speed improvement of 0.05 to 0.07 m/s compared with 0.10 to 0.30 m/s, which was reported previously. 24,25 In this study, nearly all groups achieved the clinically important improvements in the chair stand in 30 seconds (2.0 to 2.6) and the 6MWD (21.8 to 59.1 m) that have been reported in the literature.24-26

The Osteoarthritis Research Society International recommends the chair stand and 6MWD performance-based tests for individuals with hip and knee arthritis because they align with patient-reported outcomes and represent the types of activities relevant to this population.27 The findings of this study suggest that improvement in these physical function measures with participation in exercise align with data from arthritis-specific exercise programs designed for wide implementation. Hughes and colleagues reported improvements in the 6MWD after the 8-week Fit and Strong exercise intervention, which included walking and lower body resistance training.28 The Arthritis Foundation’s Walk With Ease program is a 6-week walking program that has shown improvements in chair stands and gait speed.29 Another Arthritis Foundation program, People with Arthritis Can Exercise, is an 8-week course consisting of a variety of resistance, aerobic, and balance activities. This program has been associated with increases in chair stands but not gait speed or 6MWD.30,31

This study found that participation in a VHA outpatient clinical supervised exercise program results in improvements in physical function that can be realized by older adults regardless of arthritis burden. Gerofit programs typically require 1.5 to 2.0 dedicated full-time equivalent employees to run the program effectively and additional administrative support, depending on size of the program.32 The cost savings generated by the program include reductions in hospitalization rates, emergency department visits, days in hospital, and medication use and provide a compelling argument for the program’s financial viability to health care systems through long-term savings and improved health outcomes for older adults.33-36

While evidenced-based arthritis programs exist, this study illustrates that an exercise program without a focus on arthritis also improves physical function, potentially reducing the risk of disability related to arthritis. The clinical implication for these findings is that arthritis-specific exercise programs may not be needed to achieve functional improvements in individuals with arthritis. This is critical for under-resourced or exercise- limited health care systems or communities. Therefore, if exercise programming is limited, or arthritis-specific programs and interventions are not available, nonspecific exercise programs will also be beneficial to individuals with arthritis. Thus, individuals with arthritis should be encouraged to participate in any available exercise programming to achieve improvements in physical function. In addition, many older adults have multiple comorbidities, most of which improve with participation in exercise. 37 Disease-specific exercise programs can offer tailored exercises and coaching related to common barriers in participation, such as joint pain for arthritis.31 It is unclear whether these additional programmatic components are associated with greater improvements in outcomes, such as physical function. More research is needed to explore the benefits of disease-specific tailored exercise programs compared with general exercise programs.

Strengths and Limitations

This study demonstrated the effect of participation in a clinical, supervised exercise program in a real-world setting. It suggests that even exercise programs not specifically targeted for arthritis populations can improve physical function among those with arthritis.

As a VHA clinical supervised exercise program, Gerofit may not be generalizable to all older adults or other exercise programs. In addition, this analysis only included a veteran population that was > 95% male and may not be generalizable to other populations. Arthritis status was defined by self-report and not verified in the health record. However, this approach has been shown to be acceptable in this setting and the most common type of arthritis in this population (OA) is a painful musculoskeletal condition associated with functional limitations.4,22,38,39 Self-reported arthritis or rheumatism is associated with functional limitations.1 Therefore, it is unlikely that the results would differ for physician-diagnosed or radiographically defined OA. Additionally, the study did not have data on the total number of joints with arthritis or arthritis severity but rather used upper body, lower body, and both upper and lower body arthritis as a proxy for arthritis status. While our models were adjusted for age and BMI, 2 known confounding factors for the association between arthritis and physical function, there are other potential confounding factors that were not included in the models. 40,41 Finally, this study only included individuals with completed baseline and 3-month follow-up assessments, and the individuals who participated for longer or shorter periods may have had different physical function outcomes than individuals included in this study.

Conclusions

Participation in 3 months VHA Gerofit outpatient supervised exercise programs can improve physical function for all older adults, regardless of arthritis status. These programs may increase access to exercise programming that is beneficial for common conditions affecting older adults, such as arthritis.

References
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  16. Morey MC, Lee CC, Castle S, et al. Should structured exercise be promoted as a model of care? Dissemination of the Department of Veterans Affairs Gerofit Program. J Am Geriatr Soc. 2018;66:1009-1016. doi:10.1111/jgs.15276
  17. Jennings SC, Manning KM, Bettger JP, et al. Rapid transition to telehealth group exercise and functional assessments in response to COVID-19. Gerontol Geriatr Med. 2020;6:2333721420980313. doi:10.1177/ 2333721420980313
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  20. Rikli RE, Jones CJ. Development and validation of a functional fitness test for community-residing older adults. J Aging Phys Act. 1999;7:129-161. doi:10.1123/japa.7.2.129
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  22. Peeters GGME, Alshurafa M, Schaap L, de Vet HCW. Diagnostic accuracy of self-reported arthritis in the general adult population is acceptable. J Clin Epidemiol. 2015;68:452-459. doi:10.1016/j.jclinepi.2014.09.019
  23. Cuperus N, Vliet Vlieland TPM, Mahler EAM, Kersten CC, Hoogeboom TJ, van den Ende CHM. The clinical burden of generalized osteoarthritis represented by self-reported health-related quality of life and activity limitations: a cross-sectional study. Rheumatol Int. 2015;35:871-877. doi:10.1007/s00296-014-3149-1
  24. Coleman G, Dobson F, Hinman RS, Bennell K, White DK. Measures of physical performance. Arthritis Care Res (Hoboken). 2020;72(suppl 10):452-485. doi:10.1002/acr.24373
  25. Perera S, Mody SH, Woodman RC, Studenski SA. Meaningful change and responsiveness in common physical performance measures in older adults. J Am Geriatr Soc. 2006;54:743-749. doi:10.1111/j.1532-5415.2006.00701.x
  26. Wright AA, Cook CE, Baxter GD, Dockerty JD, Abbott JH. A comparison of 3 methodological approaches to defining major clinically important improvement of 4 performance measures in patients with hip osteoarthritis. J Orthop Sports Phys Ther. 2011;41:319-327. doi:10.2519/jospt.2011.3515
  27. Dobson F, Hinman R, Roos EM, et al. OARSI recommended performance-based tests to assess physical function in people diagnosed with hip or knee osteoarthritis. Osteoarthritis Cartilage. 2013;21:1042- 1052. doi:10.1016/j.joca.2013.05.002
  28. Hughes SL, Seymour RB, Campbell R, Pollak N, Huber G, Sharma L. Impact of the fit and strong intervention on older adults with osteoarthritis. Gerontologist. 2004;44:217-228. doi:10.1093/geront/44.2.217
  29. Callahan LF, Shreffler JH, Altpeter M, et al. Evaluation of group and self-directed formats of the Arthritis Foundation's Walk With Ease Program. Arthritis Care Res (Hoboken). 2011;63:1098-1107. doi:10.1002/acr.20490
  30. Boutaugh ML. Arthritis Foundation community-based physical activity programs: effectiveness and implementation issues. Arthritis Rheum. 2003;49:463-470. doi:10.1002/art.11050
  31. Callahan LF, Mielenz T, Freburger J, et al. A randomized controlled trial of the People with Arthritis Can Exercise Program: symptoms, function, physical activity, and psychosocial outcomes. Arthritis Rheum. 2008;59:92-101. doi:10.1002/art.23239
  32. Hall KS, Jennings SC, Pearson MP. Outpatient care models: the Gerofit model of care for exercise promotion in older adults. In: Malone ML, Boltz M, Macias Tejada J, White H, eds. Geriatrics Models of Care. Springer; 2024:205-213. doi:10.1007/978-3-031-56204-4_21
  33. Pepin MJ, Valencia WM, Bettger JP, et al. Impact of supervised exercise on one-year medication use in older veterans with multiple morbidities. Gerontol Geriatr Med. 2020;6:2333721420956751. doi:10.1177/ 2333721420956751
  34. Abbate L, Li J, Veazie P, et al. Does Gerofit exercise reduce veterans’ use of emergency department and inpatient care? Innov Aging. 2020;4(suppl 1):771. doi:10.1093/geroni/igaa057.2786
  35. Morey MC, Pieper CF, Crowley GM, Sullivan RJ Jr, Puglisi CM. Exercise adherence and 10-year mortality in chronically ill older adults. J Am Geriatr Soc. 2002;50:1929-1933. doi:10.1046/j.1532-5415.2002.50602.x
  36. Manning KM, Hall KS, Sloane R, et al. Longitudinal analysis of physical function in older adults: the effects of physical inactivity and exercise training. Aging Cell. 2024;23:e13987. doi:10.1111/acel.13987
  37. Bean JF, Vora A, Frontera WR. Benefits of exercise for community-dwelling older adults. Arch Phys Med Rehabil. 2004;85(7 suppl 3):S31-S42; quiz S3-S4. doi:10.1016/j.apmr.2004.03.010
  38. Covinsky KE, Lindquist K, Dunlop DD, Yelin E. Pain, functional limitations, and aging. J Am Geriatr Soc. 2009; 57:1556-1561. doi:10.1111/j.1532-5415.2009.02388.x
  39. Katz JN, Wright EA, Baron JA, Losina E. Development and validation of an index of musculoskeletal functional limitations. BMC Musculoskelet Disord. 2009;10:62. doi:10.1186/1471-2474-10-62
  40. Allen KD, Thoma LM, Golightly YM. Epidemiology of osteoarthritis. Osteoarthritis Cartilage. 2022;30:184-195. doi:10.1016/j.joca.2021.04.020
  41. Riebe D, Blissmer BJ, Greaney ML, Ewing Garber C, Lees FD, Clark PG. The relationship between obesity, physical activity, and physical function in older adults. J Aging Health. 2009;21:1159-1178. doi:10.1177/0898264309350076
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Lauren M. Abbate, MD, PhDa,b; Kelli D. Allen, PhDc,d; P. Michael Ho, MD, PhDe; Steven C. Castle, MDf,g; Cathy C. Lee, MSf,g; Leslie I. Katzel, MD, PhDh,i; Jamie Giffuni, MAh; Teresa Kopp, MBA, PTj; Michelle McDonald, BS, OTR/Lk; Megan Pearson, MAc; Richard Sloane, MPHl; Vanessa Richardson, MSa; Katherine S. Hall, PhD, MSc,l; Miriam C. Morey, PhDc,l

Author affiliations
aVeterans Affairs Eastern Colorado Geriatric Research Education and Clinical Center, Aurora
bUniversity of Colorado, Aurora
cVeterans Affairs Durham Health Care System, North Carolina
dUniversity of North Carolina, Chapel Hill
eVeterans Affairs Eastern Colorado Health Care System, Aurora
fVeterans Affairs Greater Los Angeles Health Care System, California
gDavid Geffen School of Medicine at UCLA, Los Angeles, California
hVeterans Affairs Maryland Health Care System, Baltimore
iUniversity of Maryland School of Medicine, Baltimore
jCanandaigua Veterans Affairs Medical Center, New York
kVeterans Affairs Pacific Islands Health Care System, Honolulu, Hawaii
lDuke University Medical Center, Durham, North Carolina

Author disclosures The authors report no actual or potential conflicts of interest with regard to this article.

Correspondence: Lauren Abbate ([email protected])

Fed Pract. 2025;42(2). Published online February 15. doi:10.12788/fp.0549

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aVeterans Affairs Eastern Colorado Geriatric Research Education and Clinical Center, Aurora
bUniversity of Colorado, Aurora
cVeterans Affairs Durham Health Care System, North Carolina
dUniversity of North Carolina, Chapel Hill
eVeterans Affairs Eastern Colorado Health Care System, Aurora
fVeterans Affairs Greater Los Angeles Health Care System, California
gDavid Geffen School of Medicine at UCLA, Los Angeles, California
hVeterans Affairs Maryland Health Care System, Baltimore
iUniversity of Maryland School of Medicine, Baltimore
jCanandaigua Veterans Affairs Medical Center, New York
kVeterans Affairs Pacific Islands Health Care System, Honolulu, Hawaii
lDuke University Medical Center, Durham, North Carolina

Author disclosures The authors report no actual or potential conflicts of interest with regard to this article.

Correspondence: Lauren Abbate ([email protected])

Fed Pract. 2025;42(2). Published online February 15. doi:10.12788/fp.0549

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Lauren M. Abbate, MD, PhDa,b; Kelli D. Allen, PhDc,d; P. Michael Ho, MD, PhDe; Steven C. Castle, MDf,g; Cathy C. Lee, MSf,g; Leslie I. Katzel, MD, PhDh,i; Jamie Giffuni, MAh; Teresa Kopp, MBA, PTj; Michelle McDonald, BS, OTR/Lk; Megan Pearson, MAc; Richard Sloane, MPHl; Vanessa Richardson, MSa; Katherine S. Hall, PhD, MSc,l; Miriam C. Morey, PhDc,l

Author affiliations
aVeterans Affairs Eastern Colorado Geriatric Research Education and Clinical Center, Aurora
bUniversity of Colorado, Aurora
cVeterans Affairs Durham Health Care System, North Carolina
dUniversity of North Carolina, Chapel Hill
eVeterans Affairs Eastern Colorado Health Care System, Aurora
fVeterans Affairs Greater Los Angeles Health Care System, California
gDavid Geffen School of Medicine at UCLA, Los Angeles, California
hVeterans Affairs Maryland Health Care System, Baltimore
iUniversity of Maryland School of Medicine, Baltimore
jCanandaigua Veterans Affairs Medical Center, New York
kVeterans Affairs Pacific Islands Health Care System, Honolulu, Hawaii
lDuke University Medical Center, Durham, North Carolina

Author disclosures The authors report no actual or potential conflicts of interest with regard to this article.

Correspondence: Lauren Abbate ([email protected])

Fed Pract. 2025;42(2). Published online February 15. doi:10.12788/fp.0549

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About half of US adults aged ≥ 65 years report arthritis, and of those, 44% have an arthritis-attributable activity limitation.1,2 Arthritis is a significant health issue for veterans, with veterans reporting higher rates of disability compared with the civilian population.3

Osteoarthritis (OA) is the most common type of arthritis.4 Among individuals aged ≥ 40 years, the incidence of OA is nearly twice as high among veterans compared with civilians and is a leading cause of separation from military service and disability.5,6 OA pain and disability have been shown to be associated with increases in health care and medication use, including opioids, nonsteroidal anti-inflammatory medications, and muscle relaxants.7,8 Because OA is chronic and has no cure, safe and effective management strategies—such as exercise— are critical to minimize pain and maintain physical function.9

Exercise can reduce pain and disability associated with OA and is a first-line recommendation in guidelines for the treatment of knee and hip OA.9 Given the limited exercise and high levels of physical inactivity among veterans with OA, there is a need to identify opportunities that support veterans with OA engaging in regular exercise.

Gerofit, an outpatient clinical exercise program available at 30 Veterans Health Administration (VHA) sites, may provide an opportunity for older veterans with arthritis to engage in exercise.10 Gerofit is specifically designed for veterans aged ≥ 65 years. It is not disease-specific and supports older veterans with multiple chronic conditions, including OA. Veterans aged ≥ 65 years with a referral from a VA clinician are eligible for Gerofit. Those who are unable to perform activities of daily living; unable to independently function without assistance; have a history of unstable angina, proliferative diabetic retinopathy, oxygen dependence, volatile behavioral issues, or are unable to work successfully in a group environment/setting; experience active substance abuse, homelessness, or uncontrolled incontinence; and have open wounds that cannot be appropriately dressed are excluded from Gerofit. Exercise sessions are held 3 times per week and last from 60 to 90 minutes. Sessions are supervised by Gerofit staff and include personalized exercise prescriptions based on functional assessments. Exercise prescriptions include aerobic, resistance, and balance/flexibility components and are modified by the Gerofit program staff as needed. Gerofit adopts a functional fitness approach and includes individual progression as appropriate according to evidence-based guidelines, using the Borg ratings of perceived exertion. 11 Assessments are performed at baseline, 3 months, 6 months, and annually thereafter. Clinical staff conduct all assessments, including physical function testing, and record them in a database. Assessments are reviewed with the veteran to chart progress and identify future goals or needs. Veterans perform personalized self-paced exercises in the Gerofit group setting. Exercise prescriptions are continuously modified to meet individualized needs and goals. Veterans may participate continuously with no end date.

Participation in supervised exercise is associated with improved physical function and individuals with arthritis can improve function even though their baseline functional status is lower than individuals without arthritis. 12 In this analysis, we examine the impact of exercise on the status and location of arthritis (upper body, lower body, or both). Lower body arthritis is more common than upper body arthritis and lower extremity function is associated with increased ability to perform activities of daily living, resulting in independence among older adults.13,14 We also include upper body strength measures to capture important functional movements such as reaching and pulling.15 Among those who participate in Gerofit, the greatest gains in physical function occur during the initial 3 months, which tend to be sustained over 12 months.16 For this reason, this study focused on the initial 3 months of the program.

Older adults with arthritis may have pain and functional limitations that exceed those of the general older adult population. Exercise programs for older adults that do not specifically target arthritis but are able to improve physical function among those with arthritis could potentially increase access to exercise for older adults living with arthritis. Therefore, the purpose of this study was to determine whether change in physical function with participation in Gerofit for 3 months varies by arthritis status, including no arthritis, any arthritis, lower body arthritis, or both upper and lower body arthritis compared with no arthritis.

Methods

This is a secondary analysis of previously collected data from 10 VHA Gerofit sites (Ann Arbor, Baltimore, Greater Los Angeles, Canandaigua, Cincinnati, Miami, Honolulu, Denver, Durham, and Pittsburgh) from 2002 to 2019. Implementation data regarding the consistency of the program delivery at Gerofit expansion sites have been previously published.16 Although the delivery of Gerofit transitioned to telehealth due to COVID-19, data for this analysis were collected from in-person exercise sessions prior to the pandemic.17 Data were collected for clinical purposes. This project was part of the Gerofit quality improvement initiative and was reviewed and approved by the Durham Institutional Review Board as quality improvement.

Participants in Gerofit who completed baseline and 3-month assessments were included to analyze the effects of exercise on physical function. At each of the time points, physical functional assessments included: (1) usual gait speed (> 10 meters [m/s], or 10- meter walk test [10MWT]); (2) lower body strength (chair stands [number completed in 30 seconds]); (3) upper body strength (number of arm curls [5-lb for females/8-lb for males] completed in 30 seconds); and (4) 6-minute walk distance [6MWD] in meters to measure aerobic endurance). These measures have been validated in older adults.18-21 Arm curls were added to the physical function assessments after the 10MWT, chair stands, and 6MWD; therefore, fewer participants had data for this measure. Participants self-reported at baseline on 45 common medical conditions, including arthritis or rheumatism (both upper body and lower body were offered as choices). Self-reporting has been shown to be an acceptable method of identifying arthritis in adults.22

Descriptive statistics at baseline were calculated for all participants. One-way analysis of variance and X2 tests were used to determine differences in baseline characteristics across arthritis status. The primary outcomes were changes in physical function measures from baseline to 3 months by arthritis status. Arthritis status was defined as: any arthritis, which includes individuals who reported upper body arthritis, lower body arthritis, or both; and arthritis status individuals reporting either upper body arthritis, lower body arthritis, or both. Categories of arthritis for arthritis status were mutually exclusive. Two separate linear models were constructed for each of the 4 physical function measures, with change from baseline to 3 months as the outcome (dependent variable) and arthritis status, age, and body mass index (BMI) as predictors (independent variables). The first model compared any arthritis with no arthritis and the second model compared arthritis status (both upper and lower body arthritis vs lower body arthritis) with no arthritis. These models were used to obtain mean changes and 95% CIs in physical function and to test for differences in the change in physical function measures by arthritis status. Statistical analyses were performed using R software, version 4.0.3.

Results

Baseline and 3-month data were available for 737 Gerofit participants and included in the analysis. The mean (SD) age was 73.5 (7.1) years. A total of 707 participants were male (95.9%) and 322 (43.6%) reported some arthritis, with arthritis in both the upper and lower body being reported by 168 participants (52.2%) (Table 1). There were no differences in age, sex, or race for those with any arthritis compared with those with no arthritis, but BMI was significantly higher in those reporting any arthritis compared with no arthritis. For the baseline functional measures, statistically significant differences were observed between those with no arthritis and those reporting any arthritis for the 10MWT (P = .001), chair stands (P = .046), and 6MWD (P = .001), but not for arm curls (P = .77), with those with no arthritis performing better.

FDP04202100_T1

All 4 arthritis status groups showed improvements in each of the physical function measures over 3 months. For the 10MWT the mean change (95% CI) in gait speed (m/s) was 0.06 (0.04-0.08) for patients with no arthritis, 0.07 (0.05- 0.08) for any arthritis, 0.07 (0.04-0.11) for lower body arthritis, and 0.07 (0.04- 0.09) for both lower and upper body arthritis. For the number of arm curls in 30 seconds the mean change (95% CI) was 2.3 (1.8-2.8) for patients with no arthritis, 2.1 (1.5-2.6) for any arthritis, 2.0 (1.1-3.0) for lower body arthritis, and 1.9 (1.1-2.7) for both lower and upper body arthritis. For the number of chair stands in 30 seconds the mean change (95% CI) was 2.1 (1.7-2.4) for patients with no arthritis, 2.2 (1.8-2.6) for any arthritis, 2.3 (1.6-2.9), for lower body arthritis, and 2.0 (1.5-2.5) for both lower and upper body arthritis. For the 6MWD distance in meters the mean change (95% CI) was 21.5 (15.5-27.4) for patients with no arthritis, 28.6 (21.9-35.3) for any arthritis, 30.4 (19.5-41.3) for lower body arthritis, and 28.6 (19.2-38.0) for both lower and upper body arthritis (Figure).

FDP04202100_F1

We used 2 models to measure the change from baseline to 3 months for each of the arthritis groups. Model 1 compared any arthritis vs no arthritis and model 2 compared lower body arthritis and both upper and lower body arthritis vs no arthritis for each physical function measure (Table 2). There were no statistically significant differences in 3-month change in physical function for any of the physical function measures between arthritis groups after adjusting for age and BMI.

FDP04202100_T2

Discussion

Participation in Gerofit was associated with functional gains among all participants over 3 months, regardless of arthritis status. Older veterans reporting any arthritis had significantly lower physical function scores upon enrollment into Gerofit compared with those veterans reporting no arthritis. However, compared with individuals who reported no arthritis, individuals who reported arthritis (any arthritis, lower body arthritis only, or both lower and upper body arthritis) experienced similar improvements (ie, no statistically significant differences in mean change from baseline to follow-up among those with and without arthritis). This study suggests that progressive, multicomponent exercise programs for older adults may be beneficial for those with arthritis.

Involvement of multiple sites of arthritis is associated with moderate to severe functional limitations as well as lower healthrelated quality of life.23 While it has been found that individuals with arthritis can improve function with supervised exercise, even though their baseline functional status is lower than individuals without arthritis, it was not clear whether individuals with multiple joint involvement also would benefit.12 The results of this study suggest that these individuals can improve across various domains of physical function despite variation in arthritis location and status. As incidence of arthritis increases with age, targeting older adults for exercise programs such as Gerofit may improve functional limitations and health-related quality of life associated with arthritis.2

We evaluated physical function using multiple measures to assess upper (arm curls) and lower (chair stands, 10MWT) extremity physical function and aerobic endurance (6MWD). Participants in this study reached clinically meaningful changes with 3 months of participation in Gerofit for most of the physical function measures. Gerofit participants had a mean gait speed improvement of 0.05 to 0.07 m/s compared with 0.10 to 0.30 m/s, which was reported previously. 24,25 In this study, nearly all groups achieved the clinically important improvements in the chair stand in 30 seconds (2.0 to 2.6) and the 6MWD (21.8 to 59.1 m) that have been reported in the literature.24-26

The Osteoarthritis Research Society International recommends the chair stand and 6MWD performance-based tests for individuals with hip and knee arthritis because they align with patient-reported outcomes and represent the types of activities relevant to this population.27 The findings of this study suggest that improvement in these physical function measures with participation in exercise align with data from arthritis-specific exercise programs designed for wide implementation. Hughes and colleagues reported improvements in the 6MWD after the 8-week Fit and Strong exercise intervention, which included walking and lower body resistance training.28 The Arthritis Foundation’s Walk With Ease program is a 6-week walking program that has shown improvements in chair stands and gait speed.29 Another Arthritis Foundation program, People with Arthritis Can Exercise, is an 8-week course consisting of a variety of resistance, aerobic, and balance activities. This program has been associated with increases in chair stands but not gait speed or 6MWD.30,31

This study found that participation in a VHA outpatient clinical supervised exercise program results in improvements in physical function that can be realized by older adults regardless of arthritis burden. Gerofit programs typically require 1.5 to 2.0 dedicated full-time equivalent employees to run the program effectively and additional administrative support, depending on size of the program.32 The cost savings generated by the program include reductions in hospitalization rates, emergency department visits, days in hospital, and medication use and provide a compelling argument for the program’s financial viability to health care systems through long-term savings and improved health outcomes for older adults.33-36

While evidenced-based arthritis programs exist, this study illustrates that an exercise program without a focus on arthritis also improves physical function, potentially reducing the risk of disability related to arthritis. The clinical implication for these findings is that arthritis-specific exercise programs may not be needed to achieve functional improvements in individuals with arthritis. This is critical for under-resourced or exercise- limited health care systems or communities. Therefore, if exercise programming is limited, or arthritis-specific programs and interventions are not available, nonspecific exercise programs will also be beneficial to individuals with arthritis. Thus, individuals with arthritis should be encouraged to participate in any available exercise programming to achieve improvements in physical function. In addition, many older adults have multiple comorbidities, most of which improve with participation in exercise. 37 Disease-specific exercise programs can offer tailored exercises and coaching related to common barriers in participation, such as joint pain for arthritis.31 It is unclear whether these additional programmatic components are associated with greater improvements in outcomes, such as physical function. More research is needed to explore the benefits of disease-specific tailored exercise programs compared with general exercise programs.

Strengths and Limitations

This study demonstrated the effect of participation in a clinical, supervised exercise program in a real-world setting. It suggests that even exercise programs not specifically targeted for arthritis populations can improve physical function among those with arthritis.

As a VHA clinical supervised exercise program, Gerofit may not be generalizable to all older adults or other exercise programs. In addition, this analysis only included a veteran population that was > 95% male and may not be generalizable to other populations. Arthritis status was defined by self-report and not verified in the health record. However, this approach has been shown to be acceptable in this setting and the most common type of arthritis in this population (OA) is a painful musculoskeletal condition associated with functional limitations.4,22,38,39 Self-reported arthritis or rheumatism is associated with functional limitations.1 Therefore, it is unlikely that the results would differ for physician-diagnosed or radiographically defined OA. Additionally, the study did not have data on the total number of joints with arthritis or arthritis severity but rather used upper body, lower body, and both upper and lower body arthritis as a proxy for arthritis status. While our models were adjusted for age and BMI, 2 known confounding factors for the association between arthritis and physical function, there are other potential confounding factors that were not included in the models. 40,41 Finally, this study only included individuals with completed baseline and 3-month follow-up assessments, and the individuals who participated for longer or shorter periods may have had different physical function outcomes than individuals included in this study.

Conclusions

Participation in 3 months VHA Gerofit outpatient supervised exercise programs can improve physical function for all older adults, regardless of arthritis status. These programs may increase access to exercise programming that is beneficial for common conditions affecting older adults, such as arthritis.

About half of US adults aged ≥ 65 years report arthritis, and of those, 44% have an arthritis-attributable activity limitation.1,2 Arthritis is a significant health issue for veterans, with veterans reporting higher rates of disability compared with the civilian population.3

Osteoarthritis (OA) is the most common type of arthritis.4 Among individuals aged ≥ 40 years, the incidence of OA is nearly twice as high among veterans compared with civilians and is a leading cause of separation from military service and disability.5,6 OA pain and disability have been shown to be associated with increases in health care and medication use, including opioids, nonsteroidal anti-inflammatory medications, and muscle relaxants.7,8 Because OA is chronic and has no cure, safe and effective management strategies—such as exercise— are critical to minimize pain and maintain physical function.9

Exercise can reduce pain and disability associated with OA and is a first-line recommendation in guidelines for the treatment of knee and hip OA.9 Given the limited exercise and high levels of physical inactivity among veterans with OA, there is a need to identify opportunities that support veterans with OA engaging in regular exercise.

Gerofit, an outpatient clinical exercise program available at 30 Veterans Health Administration (VHA) sites, may provide an opportunity for older veterans with arthritis to engage in exercise.10 Gerofit is specifically designed for veterans aged ≥ 65 years. It is not disease-specific and supports older veterans with multiple chronic conditions, including OA. Veterans aged ≥ 65 years with a referral from a VA clinician are eligible for Gerofit. Those who are unable to perform activities of daily living; unable to independently function without assistance; have a history of unstable angina, proliferative diabetic retinopathy, oxygen dependence, volatile behavioral issues, or are unable to work successfully in a group environment/setting; experience active substance abuse, homelessness, or uncontrolled incontinence; and have open wounds that cannot be appropriately dressed are excluded from Gerofit. Exercise sessions are held 3 times per week and last from 60 to 90 minutes. Sessions are supervised by Gerofit staff and include personalized exercise prescriptions based on functional assessments. Exercise prescriptions include aerobic, resistance, and balance/flexibility components and are modified by the Gerofit program staff as needed. Gerofit adopts a functional fitness approach and includes individual progression as appropriate according to evidence-based guidelines, using the Borg ratings of perceived exertion. 11 Assessments are performed at baseline, 3 months, 6 months, and annually thereafter. Clinical staff conduct all assessments, including physical function testing, and record them in a database. Assessments are reviewed with the veteran to chart progress and identify future goals or needs. Veterans perform personalized self-paced exercises in the Gerofit group setting. Exercise prescriptions are continuously modified to meet individualized needs and goals. Veterans may participate continuously with no end date.

Participation in supervised exercise is associated with improved physical function and individuals with arthritis can improve function even though their baseline functional status is lower than individuals without arthritis. 12 In this analysis, we examine the impact of exercise on the status and location of arthritis (upper body, lower body, or both). Lower body arthritis is more common than upper body arthritis and lower extremity function is associated with increased ability to perform activities of daily living, resulting in independence among older adults.13,14 We also include upper body strength measures to capture important functional movements such as reaching and pulling.15 Among those who participate in Gerofit, the greatest gains in physical function occur during the initial 3 months, which tend to be sustained over 12 months.16 For this reason, this study focused on the initial 3 months of the program.

Older adults with arthritis may have pain and functional limitations that exceed those of the general older adult population. Exercise programs for older adults that do not specifically target arthritis but are able to improve physical function among those with arthritis could potentially increase access to exercise for older adults living with arthritis. Therefore, the purpose of this study was to determine whether change in physical function with participation in Gerofit for 3 months varies by arthritis status, including no arthritis, any arthritis, lower body arthritis, or both upper and lower body arthritis compared with no arthritis.

Methods

This is a secondary analysis of previously collected data from 10 VHA Gerofit sites (Ann Arbor, Baltimore, Greater Los Angeles, Canandaigua, Cincinnati, Miami, Honolulu, Denver, Durham, and Pittsburgh) from 2002 to 2019. Implementation data regarding the consistency of the program delivery at Gerofit expansion sites have been previously published.16 Although the delivery of Gerofit transitioned to telehealth due to COVID-19, data for this analysis were collected from in-person exercise sessions prior to the pandemic.17 Data were collected for clinical purposes. This project was part of the Gerofit quality improvement initiative and was reviewed and approved by the Durham Institutional Review Board as quality improvement.

Participants in Gerofit who completed baseline and 3-month assessments were included to analyze the effects of exercise on physical function. At each of the time points, physical functional assessments included: (1) usual gait speed (> 10 meters [m/s], or 10- meter walk test [10MWT]); (2) lower body strength (chair stands [number completed in 30 seconds]); (3) upper body strength (number of arm curls [5-lb for females/8-lb for males] completed in 30 seconds); and (4) 6-minute walk distance [6MWD] in meters to measure aerobic endurance). These measures have been validated in older adults.18-21 Arm curls were added to the physical function assessments after the 10MWT, chair stands, and 6MWD; therefore, fewer participants had data for this measure. Participants self-reported at baseline on 45 common medical conditions, including arthritis or rheumatism (both upper body and lower body were offered as choices). Self-reporting has been shown to be an acceptable method of identifying arthritis in adults.22

Descriptive statistics at baseline were calculated for all participants. One-way analysis of variance and X2 tests were used to determine differences in baseline characteristics across arthritis status. The primary outcomes were changes in physical function measures from baseline to 3 months by arthritis status. Arthritis status was defined as: any arthritis, which includes individuals who reported upper body arthritis, lower body arthritis, or both; and arthritis status individuals reporting either upper body arthritis, lower body arthritis, or both. Categories of arthritis for arthritis status were mutually exclusive. Two separate linear models were constructed for each of the 4 physical function measures, with change from baseline to 3 months as the outcome (dependent variable) and arthritis status, age, and body mass index (BMI) as predictors (independent variables). The first model compared any arthritis with no arthritis and the second model compared arthritis status (both upper and lower body arthritis vs lower body arthritis) with no arthritis. These models were used to obtain mean changes and 95% CIs in physical function and to test for differences in the change in physical function measures by arthritis status. Statistical analyses were performed using R software, version 4.0.3.

Results

Baseline and 3-month data were available for 737 Gerofit participants and included in the analysis. The mean (SD) age was 73.5 (7.1) years. A total of 707 participants were male (95.9%) and 322 (43.6%) reported some arthritis, with arthritis in both the upper and lower body being reported by 168 participants (52.2%) (Table 1). There were no differences in age, sex, or race for those with any arthritis compared with those with no arthritis, but BMI was significantly higher in those reporting any arthritis compared with no arthritis. For the baseline functional measures, statistically significant differences were observed between those with no arthritis and those reporting any arthritis for the 10MWT (P = .001), chair stands (P = .046), and 6MWD (P = .001), but not for arm curls (P = .77), with those with no arthritis performing better.

FDP04202100_T1

All 4 arthritis status groups showed improvements in each of the physical function measures over 3 months. For the 10MWT the mean change (95% CI) in gait speed (m/s) was 0.06 (0.04-0.08) for patients with no arthritis, 0.07 (0.05- 0.08) for any arthritis, 0.07 (0.04-0.11) for lower body arthritis, and 0.07 (0.04- 0.09) for both lower and upper body arthritis. For the number of arm curls in 30 seconds the mean change (95% CI) was 2.3 (1.8-2.8) for patients with no arthritis, 2.1 (1.5-2.6) for any arthritis, 2.0 (1.1-3.0) for lower body arthritis, and 1.9 (1.1-2.7) for both lower and upper body arthritis. For the number of chair stands in 30 seconds the mean change (95% CI) was 2.1 (1.7-2.4) for patients with no arthritis, 2.2 (1.8-2.6) for any arthritis, 2.3 (1.6-2.9), for lower body arthritis, and 2.0 (1.5-2.5) for both lower and upper body arthritis. For the 6MWD distance in meters the mean change (95% CI) was 21.5 (15.5-27.4) for patients with no arthritis, 28.6 (21.9-35.3) for any arthritis, 30.4 (19.5-41.3) for lower body arthritis, and 28.6 (19.2-38.0) for both lower and upper body arthritis (Figure).

FDP04202100_F1

We used 2 models to measure the change from baseline to 3 months for each of the arthritis groups. Model 1 compared any arthritis vs no arthritis and model 2 compared lower body arthritis and both upper and lower body arthritis vs no arthritis for each physical function measure (Table 2). There were no statistically significant differences in 3-month change in physical function for any of the physical function measures between arthritis groups after adjusting for age and BMI.

FDP04202100_T2

Discussion

Participation in Gerofit was associated with functional gains among all participants over 3 months, regardless of arthritis status. Older veterans reporting any arthritis had significantly lower physical function scores upon enrollment into Gerofit compared with those veterans reporting no arthritis. However, compared with individuals who reported no arthritis, individuals who reported arthritis (any arthritis, lower body arthritis only, or both lower and upper body arthritis) experienced similar improvements (ie, no statistically significant differences in mean change from baseline to follow-up among those with and without arthritis). This study suggests that progressive, multicomponent exercise programs for older adults may be beneficial for those with arthritis.

Involvement of multiple sites of arthritis is associated with moderate to severe functional limitations as well as lower healthrelated quality of life.23 While it has been found that individuals with arthritis can improve function with supervised exercise, even though their baseline functional status is lower than individuals without arthritis, it was not clear whether individuals with multiple joint involvement also would benefit.12 The results of this study suggest that these individuals can improve across various domains of physical function despite variation in arthritis location and status. As incidence of arthritis increases with age, targeting older adults for exercise programs such as Gerofit may improve functional limitations and health-related quality of life associated with arthritis.2

We evaluated physical function using multiple measures to assess upper (arm curls) and lower (chair stands, 10MWT) extremity physical function and aerobic endurance (6MWD). Participants in this study reached clinically meaningful changes with 3 months of participation in Gerofit for most of the physical function measures. Gerofit participants had a mean gait speed improvement of 0.05 to 0.07 m/s compared with 0.10 to 0.30 m/s, which was reported previously. 24,25 In this study, nearly all groups achieved the clinically important improvements in the chair stand in 30 seconds (2.0 to 2.6) and the 6MWD (21.8 to 59.1 m) that have been reported in the literature.24-26

The Osteoarthritis Research Society International recommends the chair stand and 6MWD performance-based tests for individuals with hip and knee arthritis because they align with patient-reported outcomes and represent the types of activities relevant to this population.27 The findings of this study suggest that improvement in these physical function measures with participation in exercise align with data from arthritis-specific exercise programs designed for wide implementation. Hughes and colleagues reported improvements in the 6MWD after the 8-week Fit and Strong exercise intervention, which included walking and lower body resistance training.28 The Arthritis Foundation’s Walk With Ease program is a 6-week walking program that has shown improvements in chair stands and gait speed.29 Another Arthritis Foundation program, People with Arthritis Can Exercise, is an 8-week course consisting of a variety of resistance, aerobic, and balance activities. This program has been associated with increases in chair stands but not gait speed or 6MWD.30,31

This study found that participation in a VHA outpatient clinical supervised exercise program results in improvements in physical function that can be realized by older adults regardless of arthritis burden. Gerofit programs typically require 1.5 to 2.0 dedicated full-time equivalent employees to run the program effectively and additional administrative support, depending on size of the program.32 The cost savings generated by the program include reductions in hospitalization rates, emergency department visits, days in hospital, and medication use and provide a compelling argument for the program’s financial viability to health care systems through long-term savings and improved health outcomes for older adults.33-36

While evidenced-based arthritis programs exist, this study illustrates that an exercise program without a focus on arthritis also improves physical function, potentially reducing the risk of disability related to arthritis. The clinical implication for these findings is that arthritis-specific exercise programs may not be needed to achieve functional improvements in individuals with arthritis. This is critical for under-resourced or exercise- limited health care systems or communities. Therefore, if exercise programming is limited, or arthritis-specific programs and interventions are not available, nonspecific exercise programs will also be beneficial to individuals with arthritis. Thus, individuals with arthritis should be encouraged to participate in any available exercise programming to achieve improvements in physical function. In addition, many older adults have multiple comorbidities, most of which improve with participation in exercise. 37 Disease-specific exercise programs can offer tailored exercises and coaching related to common barriers in participation, such as joint pain for arthritis.31 It is unclear whether these additional programmatic components are associated with greater improvements in outcomes, such as physical function. More research is needed to explore the benefits of disease-specific tailored exercise programs compared with general exercise programs.

Strengths and Limitations

This study demonstrated the effect of participation in a clinical, supervised exercise program in a real-world setting. It suggests that even exercise programs not specifically targeted for arthritis populations can improve physical function among those with arthritis.

As a VHA clinical supervised exercise program, Gerofit may not be generalizable to all older adults or other exercise programs. In addition, this analysis only included a veteran population that was > 95% male and may not be generalizable to other populations. Arthritis status was defined by self-report and not verified in the health record. However, this approach has been shown to be acceptable in this setting and the most common type of arthritis in this population (OA) is a painful musculoskeletal condition associated with functional limitations.4,22,38,39 Self-reported arthritis or rheumatism is associated with functional limitations.1 Therefore, it is unlikely that the results would differ for physician-diagnosed or radiographically defined OA. Additionally, the study did not have data on the total number of joints with arthritis or arthritis severity but rather used upper body, lower body, and both upper and lower body arthritis as a proxy for arthritis status. While our models were adjusted for age and BMI, 2 known confounding factors for the association between arthritis and physical function, there are other potential confounding factors that were not included in the models. 40,41 Finally, this study only included individuals with completed baseline and 3-month follow-up assessments, and the individuals who participated for longer or shorter periods may have had different physical function outcomes than individuals included in this study.

Conclusions

Participation in 3 months VHA Gerofit outpatient supervised exercise programs can improve physical function for all older adults, regardless of arthritis status. These programs may increase access to exercise programming that is beneficial for common conditions affecting older adults, such as arthritis.

References
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  2. Theis KA, Murphy LB, Guglielmo D, et al. Prevalence of arthritis and arthritis-attributable activity limitation—United States, 2016–2018. MMWR Morb Mortal Wkly Rep. 2021;70:1401-1407. doi:10.15585/mmwr.mm7040a2
  3. Murphy LB, Helmick CG, Allen KD, et al. Arthritis among veterans—United States, 2011–2013. MMWR Morb Mortal Wkly Rep. 2014;63:999-1003.
  4. Park J, Mendy A, Vieira ER. Various types of arthritis in the United States: prevalence and age-related trends from 1999 to 2014. Am J Public Health. 2018;108:256-258.
  5. Cameron KL, Hsiao MS, Owens BD, Burks R, Svoboda SJ. Incidence of physician-diagnosed osteoarthritis among active duty United States military service members. Arthritis Rheum. 2011;63:2974-2982. doi:10.1002/art.30498
  6. Patzkowski JC, Rivera JC, Ficke JR, Wenke JC. The changing face of disability in the US Army: the Operation Enduring Freedom and Operation Iraqi Freedom effect. J Am Acad Orthop Surg. 2012;20(suppl 1):S23-S30. doi:10.5435/JAAOS-20-08-S23
  7. Rivera JC, Amuan ME, Morris RM, Johnson AE, Pugh MJ. Arthritis, comorbidities, and care utilization in veterans of Operations Enduring and Iraqi Freedom. J Orthop Res. 2017;35:682-687. doi:10.1002/jor.23323
  8. Singh JA, Nelson DB, Fink HA, Nichol KL. Health-related quality of life predicts future health care utilization and mortality in veterans with self-reported physician-diagnosed arthritis: the Veterans Arthritis Quality of Life Study. Semin Arthritis Rheum. 2005;34:755- 765. doi:10.1016/j.semarthrit.2004.08.001
  9. Nelson AE, Allen KD, Golightly YM, Goode AP, Jordan JM. A systematic review of recommendations and guidelines for the management of osteoarthritis: the Chronic Osteoarthritis Management Initiative of the U.S. Bone and Joint Initiative. Semin Arthritis Rheum. 2014;43:701-712. doi:10.1016/j.semarthrit.2013.11.012
  10. Morey MC, Crowley GM, Robbins MS, Cowper PA, Sullivan RJ Jr. The Gerofit Program: a VA innovation. South Med J. 1994;87:S83-S87.
  11. Chen MJ, Fan X, Moe ST. Criterion-related validity of the Borg ratings of perceived exertion scale in healthy individuals: a meta-analysis. J Sports Sci. 2002;20:873-899. doi:10.1080/026404102320761787
  12. Morey MC, Pieper CF, Sullivan RJ Jr, Crowley GM, Cowper PA, Robbins MS. Five-year performance trends for older exercisers: a hierarchical model of endurance, strength, and flexibility. J Am Geriatr Soc. 1996;44:1226-1231. doi:10.1111/j.1532-5415.1996.tb01374.x
  13. Allen KD, Gol ight ly YM. State of the evidence. Curr Opin Rheumatol. 2015;27:276-283. doi:10.1097/BOR.0000000000000161
  14. den Ouden MEM, Schuurmans MJ, Arts IEMA, van der Schouw YT. Association between physical performance characteristics and independence in activities of daily living in middle-aged and elderly men. Geriatr Gerontol Int. 2013;13:274-280. doi:10.1111/j.1447-0594.2012.00890.x
  15. Daly M, Vidt ME, Eggebeen JD, et al. Upper extremity muscle volumes and functional strength after resistance training in older adults. J Aging Phys Act. 2013;21:186-207. doi:10.1123/japa.21.2.186
  16. Morey MC, Lee CC, Castle S, et al. Should structured exercise be promoted as a model of care? Dissemination of the Department of Veterans Affairs Gerofit Program. J Am Geriatr Soc. 2018;66:1009-1016. doi:10.1111/jgs.15276
  17. Jennings SC, Manning KM, Bettger JP, et al. Rapid transition to telehealth group exercise and functional assessments in response to COVID-19. Gerontol Geriatr Med. 2020;6:2333721420980313. doi:10.1177/ 2333721420980313
  18. Studenski S, Perera S, Wallace D, et al. Physical performance measures in the clinical setting. J Am Geriatr Soc. 2003;51:314-322. doi:10.1046/j.1532-5415.2003.51104.x
  19. Jones CJ, Rikli RE, Beam WC. A 30-s chair-stand test as a measure of lower body strength in community residing older adults. Res Q Exerc Sport. 1999;70:113- 119. doi:10.1080/02701367.1999.10608028
  20. Rikli RE, Jones CJ. Development and validation of a functional fitness test for community-residing older adults. J Aging Phys Act. 1999;7:129-161. doi:10.1123/japa.7.2.129
  21. Harada ND, Chiu V, Stewart AL. Mobility-related function in older adults: assessment with a 6-minute walk test. Arch Phys Med Rehabil. 1999;80:837-841. doi:10.1016/s0003-9993(99)90236-8
  22. Peeters GGME, Alshurafa M, Schaap L, de Vet HCW. Diagnostic accuracy of self-reported arthritis in the general adult population is acceptable. J Clin Epidemiol. 2015;68:452-459. doi:10.1016/j.jclinepi.2014.09.019
  23. Cuperus N, Vliet Vlieland TPM, Mahler EAM, Kersten CC, Hoogeboom TJ, van den Ende CHM. The clinical burden of generalized osteoarthritis represented by self-reported health-related quality of life and activity limitations: a cross-sectional study. Rheumatol Int. 2015;35:871-877. doi:10.1007/s00296-014-3149-1
  24. Coleman G, Dobson F, Hinman RS, Bennell K, White DK. Measures of physical performance. Arthritis Care Res (Hoboken). 2020;72(suppl 10):452-485. doi:10.1002/acr.24373
  25. Perera S, Mody SH, Woodman RC, Studenski SA. Meaningful change and responsiveness in common physical performance measures in older adults. J Am Geriatr Soc. 2006;54:743-749. doi:10.1111/j.1532-5415.2006.00701.x
  26. Wright AA, Cook CE, Baxter GD, Dockerty JD, Abbott JH. A comparison of 3 methodological approaches to defining major clinically important improvement of 4 performance measures in patients with hip osteoarthritis. J Orthop Sports Phys Ther. 2011;41:319-327. doi:10.2519/jospt.2011.3515
  27. Dobson F, Hinman R, Roos EM, et al. OARSI recommended performance-based tests to assess physical function in people diagnosed with hip or knee osteoarthritis. Osteoarthritis Cartilage. 2013;21:1042- 1052. doi:10.1016/j.joca.2013.05.002
  28. Hughes SL, Seymour RB, Campbell R, Pollak N, Huber G, Sharma L. Impact of the fit and strong intervention on older adults with osteoarthritis. Gerontologist. 2004;44:217-228. doi:10.1093/geront/44.2.217
  29. Callahan LF, Shreffler JH, Altpeter M, et al. Evaluation of group and self-directed formats of the Arthritis Foundation's Walk With Ease Program. Arthritis Care Res (Hoboken). 2011;63:1098-1107. doi:10.1002/acr.20490
  30. Boutaugh ML. Arthritis Foundation community-based physical activity programs: effectiveness and implementation issues. Arthritis Rheum. 2003;49:463-470. doi:10.1002/art.11050
  31. Callahan LF, Mielenz T, Freburger J, et al. A randomized controlled trial of the People with Arthritis Can Exercise Program: symptoms, function, physical activity, and psychosocial outcomes. Arthritis Rheum. 2008;59:92-101. doi:10.1002/art.23239
  32. Hall KS, Jennings SC, Pearson MP. Outpatient care models: the Gerofit model of care for exercise promotion in older adults. In: Malone ML, Boltz M, Macias Tejada J, White H, eds. Geriatrics Models of Care. Springer; 2024:205-213. doi:10.1007/978-3-031-56204-4_21
  33. Pepin MJ, Valencia WM, Bettger JP, et al. Impact of supervised exercise on one-year medication use in older veterans with multiple morbidities. Gerontol Geriatr Med. 2020;6:2333721420956751. doi:10.1177/ 2333721420956751
  34. Abbate L, Li J, Veazie P, et al. Does Gerofit exercise reduce veterans’ use of emergency department and inpatient care? Innov Aging. 2020;4(suppl 1):771. doi:10.1093/geroni/igaa057.2786
  35. Morey MC, Pieper CF, Crowley GM, Sullivan RJ Jr, Puglisi CM. Exercise adherence and 10-year mortality in chronically ill older adults. J Am Geriatr Soc. 2002;50:1929-1933. doi:10.1046/j.1532-5415.2002.50602.x
  36. Manning KM, Hall KS, Sloane R, et al. Longitudinal analysis of physical function in older adults: the effects of physical inactivity and exercise training. Aging Cell. 2024;23:e13987. doi:10.1111/acel.13987
  37. Bean JF, Vora A, Frontera WR. Benefits of exercise for community-dwelling older adults. Arch Phys Med Rehabil. 2004;85(7 suppl 3):S31-S42; quiz S3-S4. doi:10.1016/j.apmr.2004.03.010
  38. Covinsky KE, Lindquist K, Dunlop DD, Yelin E. Pain, functional limitations, and aging. J Am Geriatr Soc. 2009; 57:1556-1561. doi:10.1111/j.1532-5415.2009.02388.x
  39. Katz JN, Wright EA, Baron JA, Losina E. Development and validation of an index of musculoskeletal functional limitations. BMC Musculoskelet Disord. 2009;10:62. doi:10.1186/1471-2474-10-62
  40. Allen KD, Thoma LM, Golightly YM. Epidemiology of osteoarthritis. Osteoarthritis Cartilage. 2022;30:184-195. doi:10.1016/j.joca.2021.04.020
  41. Riebe D, Blissmer BJ, Greaney ML, Ewing Garber C, Lees FD, Clark PG. The relationship between obesity, physical activity, and physical function in older adults. J Aging Health. 2009;21:1159-1178. doi:10.1177/0898264309350076
References
  1. Centers for Disease Control and Prevention. Prevalence and most common causes of disability among adults- -United States, 2005. MMWR Morb Mortal Wkly Rep. 2009;58:421-426.
  2. Theis KA, Murphy LB, Guglielmo D, et al. Prevalence of arthritis and arthritis-attributable activity limitation—United States, 2016–2018. MMWR Morb Mortal Wkly Rep. 2021;70:1401-1407. doi:10.15585/mmwr.mm7040a2
  3. Murphy LB, Helmick CG, Allen KD, et al. Arthritis among veterans—United States, 2011–2013. MMWR Morb Mortal Wkly Rep. 2014;63:999-1003.
  4. Park J, Mendy A, Vieira ER. Various types of arthritis in the United States: prevalence and age-related trends from 1999 to 2014. Am J Public Health. 2018;108:256-258.
  5. Cameron KL, Hsiao MS, Owens BD, Burks R, Svoboda SJ. Incidence of physician-diagnosed osteoarthritis among active duty United States military service members. Arthritis Rheum. 2011;63:2974-2982. doi:10.1002/art.30498
  6. Patzkowski JC, Rivera JC, Ficke JR, Wenke JC. The changing face of disability in the US Army: the Operation Enduring Freedom and Operation Iraqi Freedom effect. J Am Acad Orthop Surg. 2012;20(suppl 1):S23-S30. doi:10.5435/JAAOS-20-08-S23
  7. Rivera JC, Amuan ME, Morris RM, Johnson AE, Pugh MJ. Arthritis, comorbidities, and care utilization in veterans of Operations Enduring and Iraqi Freedom. J Orthop Res. 2017;35:682-687. doi:10.1002/jor.23323
  8. Singh JA, Nelson DB, Fink HA, Nichol KL. Health-related quality of life predicts future health care utilization and mortality in veterans with self-reported physician-diagnosed arthritis: the Veterans Arthritis Quality of Life Study. Semin Arthritis Rheum. 2005;34:755- 765. doi:10.1016/j.semarthrit.2004.08.001
  9. Nelson AE, Allen KD, Golightly YM, Goode AP, Jordan JM. A systematic review of recommendations and guidelines for the management of osteoarthritis: the Chronic Osteoarthritis Management Initiative of the U.S. Bone and Joint Initiative. Semin Arthritis Rheum. 2014;43:701-712. doi:10.1016/j.semarthrit.2013.11.012
  10. Morey MC, Crowley GM, Robbins MS, Cowper PA, Sullivan RJ Jr. The Gerofit Program: a VA innovation. South Med J. 1994;87:S83-S87.
  11. Chen MJ, Fan X, Moe ST. Criterion-related validity of the Borg ratings of perceived exertion scale in healthy individuals: a meta-analysis. J Sports Sci. 2002;20:873-899. doi:10.1080/026404102320761787
  12. Morey MC, Pieper CF, Sullivan RJ Jr, Crowley GM, Cowper PA, Robbins MS. Five-year performance trends for older exercisers: a hierarchical model of endurance, strength, and flexibility. J Am Geriatr Soc. 1996;44:1226-1231. doi:10.1111/j.1532-5415.1996.tb01374.x
  13. Allen KD, Gol ight ly YM. State of the evidence. Curr Opin Rheumatol. 2015;27:276-283. doi:10.1097/BOR.0000000000000161
  14. den Ouden MEM, Schuurmans MJ, Arts IEMA, van der Schouw YT. Association between physical performance characteristics and independence in activities of daily living in middle-aged and elderly men. Geriatr Gerontol Int. 2013;13:274-280. doi:10.1111/j.1447-0594.2012.00890.x
  15. Daly M, Vidt ME, Eggebeen JD, et al. Upper extremity muscle volumes and functional strength after resistance training in older adults. J Aging Phys Act. 2013;21:186-207. doi:10.1123/japa.21.2.186
  16. Morey MC, Lee CC, Castle S, et al. Should structured exercise be promoted as a model of care? Dissemination of the Department of Veterans Affairs Gerofit Program. J Am Geriatr Soc. 2018;66:1009-1016. doi:10.1111/jgs.15276
  17. Jennings SC, Manning KM, Bettger JP, et al. Rapid transition to telehealth group exercise and functional assessments in response to COVID-19. Gerontol Geriatr Med. 2020;6:2333721420980313. doi:10.1177/ 2333721420980313
  18. Studenski S, Perera S, Wallace D, et al. Physical performance measures in the clinical setting. J Am Geriatr Soc. 2003;51:314-322. doi:10.1046/j.1532-5415.2003.51104.x
  19. Jones CJ, Rikli RE, Beam WC. A 30-s chair-stand test as a measure of lower body strength in community residing older adults. Res Q Exerc Sport. 1999;70:113- 119. doi:10.1080/02701367.1999.10608028
  20. Rikli RE, Jones CJ. Development and validation of a functional fitness test for community-residing older adults. J Aging Phys Act. 1999;7:129-161. doi:10.1123/japa.7.2.129
  21. Harada ND, Chiu V, Stewart AL. Mobility-related function in older adults: assessment with a 6-minute walk test. Arch Phys Med Rehabil. 1999;80:837-841. doi:10.1016/s0003-9993(99)90236-8
  22. Peeters GGME, Alshurafa M, Schaap L, de Vet HCW. Diagnostic accuracy of self-reported arthritis in the general adult population is acceptable. J Clin Epidemiol. 2015;68:452-459. doi:10.1016/j.jclinepi.2014.09.019
  23. Cuperus N, Vliet Vlieland TPM, Mahler EAM, Kersten CC, Hoogeboom TJ, van den Ende CHM. The clinical burden of generalized osteoarthritis represented by self-reported health-related quality of life and activity limitations: a cross-sectional study. Rheumatol Int. 2015;35:871-877. doi:10.1007/s00296-014-3149-1
  24. Coleman G, Dobson F, Hinman RS, Bennell K, White DK. Measures of physical performance. Arthritis Care Res (Hoboken). 2020;72(suppl 10):452-485. doi:10.1002/acr.24373
  25. Perera S, Mody SH, Woodman RC, Studenski SA. Meaningful change and responsiveness in common physical performance measures in older adults. J Am Geriatr Soc. 2006;54:743-749. doi:10.1111/j.1532-5415.2006.00701.x
  26. Wright AA, Cook CE, Baxter GD, Dockerty JD, Abbott JH. A comparison of 3 methodological approaches to defining major clinically important improvement of 4 performance measures in patients with hip osteoarthritis. J Orthop Sports Phys Ther. 2011;41:319-327. doi:10.2519/jospt.2011.3515
  27. Dobson F, Hinman R, Roos EM, et al. OARSI recommended performance-based tests to assess physical function in people diagnosed with hip or knee osteoarthritis. Osteoarthritis Cartilage. 2013;21:1042- 1052. doi:10.1016/j.joca.2013.05.002
  28. Hughes SL, Seymour RB, Campbell R, Pollak N, Huber G, Sharma L. Impact of the fit and strong intervention on older adults with osteoarthritis. Gerontologist. 2004;44:217-228. doi:10.1093/geront/44.2.217
  29. Callahan LF, Shreffler JH, Altpeter M, et al. Evaluation of group and self-directed formats of the Arthritis Foundation's Walk With Ease Program. Arthritis Care Res (Hoboken). 2011;63:1098-1107. doi:10.1002/acr.20490
  30. Boutaugh ML. Arthritis Foundation community-based physical activity programs: effectiveness and implementation issues. Arthritis Rheum. 2003;49:463-470. doi:10.1002/art.11050
  31. Callahan LF, Mielenz T, Freburger J, et al. A randomized controlled trial of the People with Arthritis Can Exercise Program: symptoms, function, physical activity, and psychosocial outcomes. Arthritis Rheum. 2008;59:92-101. doi:10.1002/art.23239
  32. Hall KS, Jennings SC, Pearson MP. Outpatient care models: the Gerofit model of care for exercise promotion in older adults. In: Malone ML, Boltz M, Macias Tejada J, White H, eds. Geriatrics Models of Care. Springer; 2024:205-213. doi:10.1007/978-3-031-56204-4_21
  33. Pepin MJ, Valencia WM, Bettger JP, et al. Impact of supervised exercise on one-year medication use in older veterans with multiple morbidities. Gerontol Geriatr Med. 2020;6:2333721420956751. doi:10.1177/ 2333721420956751
  34. Abbate L, Li J, Veazie P, et al. Does Gerofit exercise reduce veterans’ use of emergency department and inpatient care? Innov Aging. 2020;4(suppl 1):771. doi:10.1093/geroni/igaa057.2786
  35. Morey MC, Pieper CF, Crowley GM, Sullivan RJ Jr, Puglisi CM. Exercise adherence and 10-year mortality in chronically ill older adults. J Am Geriatr Soc. 2002;50:1929-1933. doi:10.1046/j.1532-5415.2002.50602.x
  36. Manning KM, Hall KS, Sloane R, et al. Longitudinal analysis of physical function in older adults: the effects of physical inactivity and exercise training. Aging Cell. 2024;23:e13987. doi:10.1111/acel.13987
  37. Bean JF, Vora A, Frontera WR. Benefits of exercise for community-dwelling older adults. Arch Phys Med Rehabil. 2004;85(7 suppl 3):S31-S42; quiz S3-S4. doi:10.1016/j.apmr.2004.03.010
  38. Covinsky KE, Lindquist K, Dunlop DD, Yelin E. Pain, functional limitations, and aging. J Am Geriatr Soc. 2009; 57:1556-1561. doi:10.1111/j.1532-5415.2009.02388.x
  39. Katz JN, Wright EA, Baron JA, Losina E. Development and validation of an index of musculoskeletal functional limitations. BMC Musculoskelet Disord. 2009;10:62. doi:10.1186/1471-2474-10-62
  40. Allen KD, Thoma LM, Golightly YM. Epidemiology of osteoarthritis. Osteoarthritis Cartilage. 2022;30:184-195. doi:10.1016/j.joca.2021.04.020
  41. Riebe D, Blissmer BJ, Greaney ML, Ewing Garber C, Lees FD, Clark PG. The relationship between obesity, physical activity, and physical function in older adults. J Aging Health. 2009;21:1159-1178. doi:10.1177/0898264309350076
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Improving High-Risk Osteoporosis Medication Adherence and Safety With an Automated Dashboard

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Improving High-Risk Osteoporosis Medication Adherence and Safety With an Automated Dashboard

Osteoporotic fragility fractures constitute a significant public health concern, with 1 in 2 women and 1 in 5 men aged > 50 years sustaining an osteoporotic fracture.1 Osteoporotic fractures are costly and associated with reduced quality of life and impaired survival.2-6 Many interventions including fall mitigation, calcium, vitamin D supplementation, and osteoporosis—specific medications reduce fracture risk.7 New medications for treating osteoporosis, including anabolic therapies, are costly and require clinical oversight to ensure safe delivery. This includes laboratory monitoring, timing of in-clinic dosing and provision of sequence therapy.8,9 COVID-19 introduced numerous barriers to osteoporosis care, raising concerns for medication interruption and patients lost to follow-up, which made monitoring these high risk and costly medications even more important.

The US Department of Veterans Affairs (VA) was an early adopter of using the electronic health record to analyze and implement system-wide processes for population management and quality improvement.10 This enabled the creation of clinical dashboards to display key performance indicator data that support quality improvement and patient care initiatives.11-15 The VA Puget Sound Health Care System (VAPSHCS) has a dedicated osteoporosis clinic focused on preventing and treating veterans at high risk for fracture. Considering the growing utilization of osteoporosis medications, particularly those requiring timed sequential therapy to prevent bone mineral density loss and rebound osteoporotic fractures, close monitoring and follow-up is required. The COVID-19 pandemic made clear the need for proactive osteoporosis management. This article describes the creation and use of an automated clinic dashboard to identify and contact veterans with osteoporosis-related care needs, such as prescription refills, laboratory tests, and clinical visits.

Methods

An automated dashboard was created in partnership with VA pharmacy clinical informatics to display the osteoporosis medication prescription (including last refill), monitoring laboratory test values and most recent osteoporosis clinic visit for each clinic patient. Data from the VA Corporate Data Warehouse were extracted. The resulting tables were used to create a patient cohort with ≥ 1 active medication for alendronate, zoledronic acid, the parathyroid hormone analogues (PTH) teriparatide or abaloparatide, denosumab, or romosozumab. Notably, alendronate was the only oral bisphosphonate prescribed in the clinic. These data were formatted and displayed using Microsoft SQL Server Reporting Services. The secure and encrypted dashboard alerts the clinic staff when prescriptions, appointments, or laboratory tests, such as estimated glomerular filtration rate, 25-hydroxy vitamin D, calcium, and PTH are overdue or out of reference range. The dashboard tracked the most recent clinic visit or dual-energy X-ray absorptiometry (DXA) scan if performed within the VA. Overdue laboratory test alerts for bisphosphonates were flagged if delayed 12 months and 6 months for all other medications.

On March 20, 2021, the VAPSHCS osteoporosis clinic was staffed by 1 endocrinologist, 1 geriatrician, 1 rheumatologist, and 1 registered nurse (RN) coordinator. Overdue or out-of-range alerts were reviewed weekly by the RN coordinator, who addressed alerts. For any overdue laboratory work or prescription refills, the RN coordinator alerted the primary osteoporosis physician via the electronic health record for updated orders. Patients were contacted by phone to schedule a clinic visit, complete ordered laboratory work, or discuss osteoporosis medication refills based on the need identified by the dashboard. A letter was mailed to the patient requesting they contact the osteoporosis clinic for patients who could not be reached by phone after 2 attempts. If 3 attempts (2 phone calls and a letter) were unsuccessful, the osteoporosis physician was alerted so they could either call the patient, alert the primary referring clinician, or discontinue the osteoporosis medication.

Results

As of March 20, 2021, 139 patients were included on the dashboard. Ninety-two patients (66%) had unmet care needs and 29% were female. Ages ranged from 40 to 100 years (Table). The dashboard alerted the team to 3 patients lost to follow-up, all of whom had transferred to care outside the clinic. Twenty-three patients (17%) had overdue medications, including 2 (9%) who had not refilled oral bisphosphonate and 18 (78%) who were overdue for intravenous bisphosphonate treatment. One veteran flagged as overdue for their denosumab injection was unable to receive it due to a significant change in health status. Two veterans were overdue for a PTH analogue refill, 1 of whom had completed their course and transitioned to bisphosphonate.

FDP04202096_T1

The most common alert was 40 patients (29%) with overdue laboratory tests, 37 of which were receiving bisphosphonates. One patient included on the dashboard was taking romosozumab and all their monitoring parameters were up to date, thus their data were not included in the Table to prevent possible identification.

Discussion

A dashboard alerted the osteoporosis clinic team to veterans who were overdue for visits, laboratory work, and prescription renewals. Overall, 92 patients (66%) had unmet care needs identified by the dashboard, all of which were addressed with phone calls and/or letters. Most of the overdue medication refills and laboratory tests were for patients taking bisphosphonates avoiding VAPSHCS during the COVID-19 pandemic. The dashboard enabled the RN coordinator to promptly contact the patient, facilitate coordination of care requirements, and guarantee the safe and efficient delivery of osteoporosis care.

The VA has historically been a leader in the creation of clinical dashboards to support health campaigns.11,12 These dashboards have successfully improved quality metrics towards the treatment of hepatitis C virus, heart failure, and highrisk opioid prescribing.13-15 Data have shown that successful clinical dashboard implementation must be done in conjunction with protected time or staff to support care improvements.16 Additionally, the time required for clinical dashboards can limit their sustainability and feasibility.17 A study aimed at improving osteoporosis care for patients with Parkinson disease found that weekly multidisciplinary review of at-risk patients resulted in all new patients and 91% of follow-up patients receiving evidence- based osteoporosis treatments.17 However, despite the benefits, the intervention required significant time and resources. In contrast, the osteoporosis dashboard implemented at VAPSHCS was not time or resource intensive, requiring about 1 hour per week for the RN coordinator to review the dashboard and coordinate patient care needs.

Limitations

This study setting is unique from other health care organizations or VA health care systems. Implementation of a similar dashboard in other clinical settings where patients receive medical care in multiple health care systems may differ. The VA dedicates resources to support veteran population health management, which may not be available in other health care systems.11,12 These issues may pose a barrier to implementing a similar osteoporosis dashboard in non-VA facilities. In addition, it is significant that while the dashboard can be reconfigured and adapted to track veterans across different VA facilities, certain complexities arise if essential data, such as laboratory tests and DXA imaging, are conducted outside of VA facilities. In such cases, manual entry of this information into the dashboard would be necessary. Because the dashboard was quickly developed during the COVID-19 pandemic, this study lacked preimplementation data on laboratory testing, medication refills, and DXA imaging, which would have enabled a comparison of adherence before and after dashboard implementation. Finally, we acknowledge the delay in publishing these findings; however, we believe sharing innovative approaches to providing care for high-risk populations is essential, as demonstrated during the COVID-19 pandemic.

Conclusions

An osteoporosis clinic dashboard served as a valuable clinical support tool to ensure safe and effective osteoporosis medication delivery at VAPSHCS. Considering the growing utilization of osteoporosis medications, this dashboard plays a vital role in facilitating care coordination for patients receiving these high-risk treatments.18 Use of the dashboard supported the effective use of high-cost osteoporosis medications and is likely to improve clinical osteoporosis outcomes.

Despite the known fracture risk reduction, osteoporosis medication adherence is low.19,20 Maintaining consistent pharmacotherapy for osteoporosis is essential not only for fracture prevention but also reducing health care costs related to osteoporosis and preserving patient independence and functionality.21-24 While initially developed in response to the COVID-19 pandemic, the dashboard remains useful. The VAPSHCS osteoporosis clinic is now staffed by 2 physicians (endocrine and rheumatology) and the dashboard is still in use. The RN coordinator spends about 15 minutes per week using the dashboard and managing the 67 veterans on osteoporosis therapy. This dashboard represents a sustainable clinical tool with the capacity to minimize osteoporosis care gaps and improve outcomes.

References
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  12. Kizer KW, Fonseca ML, Long LM. The veterans healthcare system: preparing for the twenty-first century. Hosp Health Serv Adm. 1997;42:283-298.
  13. Park A, Gonzalez R, Chartier M, et al. Screening and treating hepatitis c in the VA: achieving excellence using lean and system redesign. Fed Pract. 2018;35:24-29.
  14. Brownell N, Kay C, Parra D, et al. Development and optimization of the Veterans Affairs’ national heart failure dashboard for population health management. J Card Fail. 2024;30:452-459. doi:10.1016/j.cardfail.2023.08.024
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  16. Twohig PA, Rivington JR, Gunzler D, Daprano J, Margolius D. Clinician dashboard views and improvement in preventative health outcome measures: a retrospective analysis. BMC Health Serv Res. 2019;19:475. doi:10.1186/s12913-019-4327-3
  17. Singh I, Fletcher R, Scanlon L, Tyler M, Aithal S. A quality improvement initiative on the management of osteoporosis in older people with Parkinsonism. BMJ Qual Improv Rep. 2016;5:u210921.w5756. doi:10.1136/bmjquality.u210921.w5756
  18. Anastasilakis AD, Makras P, Yavropoulou MP, Tabacco G, Naciu AM, Palermo A. Denosumab discontinuation and the rebound phenomenon: a narrative review. J Clin Med. 2021;10:152. doi:10.3390/jcm10010152
  19. Sharman Moser S, Yu J, Goldshtein I, et al. Cost and consequences of nonadherence with oral bisphosphonate therapy: findings from a real-world data analysis. Ann Pharmacother. 2016;50:262-269. doi:10.1177/1060028015626935
  20. Olsen KR, Hansen C, Abrahamsen B. Association between refill compliance to oral bisphosphonate treatment, incident fractures, and health care costs--an analysis using national health databases. Osteoporos Int. 2013;24:2639-2647. doi:10.1007/s00198-013-2365-y
  21. Blouin J, Dragomir A, Fredette M, Ste-Marie LG, Fernandes JC, Perreault S. Comparison of direct health care costs related to the pharmacological treatment of osteoporosis and to the management of osteoporotic fractures among compliant and noncompliant users of alendronate and risedronate: a population-based study. Osteoporos Int. 2009;20:1571-1581. doi:10.1007/s00198-008-0818-5
  22. Cotté F-E, De Pouvourville G. Cost of non-persistence with oral bisphosphonates in post-menopausal osteoporosis treatment in France. BMC Health Serv Res. 2011;11:151. doi:10.1186/1472-6963-11-151
  23. Cho H, Byun J-H, Song I, et al. Effect of improved medication adherence on health care costs in osteoporosis patients. Medicine (Baltimore). 2018;97:e11470. doi:10.1097/MD.0000000000011470
  24. Li N, Cornelissen D, Silverman S, et al. An updated systematic review of cost-effectiveness analyses of drugs for osteoporosis. Pharmacoeconomics. 2021;39:181-209. doi:10.1007/s40273-020-00965-9
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Danielle H. Tran, MDa; Radhika Narla, MDb,c; Magdalena Wojtowicz, RNc; Patrick Spoutz, PharmD, BCPSd; Katherine D. Wysham, MDb,c

Author affiliations
aUniversity of Washington, Seattle
bUniversity of Washington Medical Center, Seattle
cVA Puget Sound Health Care System, Seattle, Washington
dVeteran Affairs Integrated Service Network 20, Vancouver, Washington

Author disclosures The authors report no actual or potential conflicts of interest with regard to this article.

Correspondence: Katherine Wysham ([email protected])

Fed Pract. 2025;42(2). Published online February 15. doi:10.12788/fp.0551

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aUniversity of Washington, Seattle
bUniversity of Washington Medical Center, Seattle
cVA Puget Sound Health Care System, Seattle, Washington
dVeteran Affairs Integrated Service Network 20, Vancouver, Washington

Author disclosures The authors report no actual or potential conflicts of interest with regard to this article.

Correspondence: Katherine Wysham ([email protected])

Fed Pract. 2025;42(2). Published online February 15. doi:10.12788/fp.0551

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Danielle H. Tran, MDa; Radhika Narla, MDb,c; Magdalena Wojtowicz, RNc; Patrick Spoutz, PharmD, BCPSd; Katherine D. Wysham, MDb,c

Author affiliations
aUniversity of Washington, Seattle
bUniversity of Washington Medical Center, Seattle
cVA Puget Sound Health Care System, Seattle, Washington
dVeteran Affairs Integrated Service Network 20, Vancouver, Washington

Author disclosures The authors report no actual or potential conflicts of interest with regard to this article.

Correspondence: Katherine Wysham ([email protected])

Fed Pract. 2025;42(2). Published online February 15. doi:10.12788/fp.0551

Article PDF
Article PDF

Osteoporotic fragility fractures constitute a significant public health concern, with 1 in 2 women and 1 in 5 men aged > 50 years sustaining an osteoporotic fracture.1 Osteoporotic fractures are costly and associated with reduced quality of life and impaired survival.2-6 Many interventions including fall mitigation, calcium, vitamin D supplementation, and osteoporosis—specific medications reduce fracture risk.7 New medications for treating osteoporosis, including anabolic therapies, are costly and require clinical oversight to ensure safe delivery. This includes laboratory monitoring, timing of in-clinic dosing and provision of sequence therapy.8,9 COVID-19 introduced numerous barriers to osteoporosis care, raising concerns for medication interruption and patients lost to follow-up, which made monitoring these high risk and costly medications even more important.

The US Department of Veterans Affairs (VA) was an early adopter of using the electronic health record to analyze and implement system-wide processes for population management and quality improvement.10 This enabled the creation of clinical dashboards to display key performance indicator data that support quality improvement and patient care initiatives.11-15 The VA Puget Sound Health Care System (VAPSHCS) has a dedicated osteoporosis clinic focused on preventing and treating veterans at high risk for fracture. Considering the growing utilization of osteoporosis medications, particularly those requiring timed sequential therapy to prevent bone mineral density loss and rebound osteoporotic fractures, close monitoring and follow-up is required. The COVID-19 pandemic made clear the need for proactive osteoporosis management. This article describes the creation and use of an automated clinic dashboard to identify and contact veterans with osteoporosis-related care needs, such as prescription refills, laboratory tests, and clinical visits.

Methods

An automated dashboard was created in partnership with VA pharmacy clinical informatics to display the osteoporosis medication prescription (including last refill), monitoring laboratory test values and most recent osteoporosis clinic visit for each clinic patient. Data from the VA Corporate Data Warehouse were extracted. The resulting tables were used to create a patient cohort with ≥ 1 active medication for alendronate, zoledronic acid, the parathyroid hormone analogues (PTH) teriparatide or abaloparatide, denosumab, or romosozumab. Notably, alendronate was the only oral bisphosphonate prescribed in the clinic. These data were formatted and displayed using Microsoft SQL Server Reporting Services. The secure and encrypted dashboard alerts the clinic staff when prescriptions, appointments, or laboratory tests, such as estimated glomerular filtration rate, 25-hydroxy vitamin D, calcium, and PTH are overdue or out of reference range. The dashboard tracked the most recent clinic visit or dual-energy X-ray absorptiometry (DXA) scan if performed within the VA. Overdue laboratory test alerts for bisphosphonates were flagged if delayed 12 months and 6 months for all other medications.

On March 20, 2021, the VAPSHCS osteoporosis clinic was staffed by 1 endocrinologist, 1 geriatrician, 1 rheumatologist, and 1 registered nurse (RN) coordinator. Overdue or out-of-range alerts were reviewed weekly by the RN coordinator, who addressed alerts. For any overdue laboratory work or prescription refills, the RN coordinator alerted the primary osteoporosis physician via the electronic health record for updated orders. Patients were contacted by phone to schedule a clinic visit, complete ordered laboratory work, or discuss osteoporosis medication refills based on the need identified by the dashboard. A letter was mailed to the patient requesting they contact the osteoporosis clinic for patients who could not be reached by phone after 2 attempts. If 3 attempts (2 phone calls and a letter) were unsuccessful, the osteoporosis physician was alerted so they could either call the patient, alert the primary referring clinician, or discontinue the osteoporosis medication.

Results

As of March 20, 2021, 139 patients were included on the dashboard. Ninety-two patients (66%) had unmet care needs and 29% were female. Ages ranged from 40 to 100 years (Table). The dashboard alerted the team to 3 patients lost to follow-up, all of whom had transferred to care outside the clinic. Twenty-three patients (17%) had overdue medications, including 2 (9%) who had not refilled oral bisphosphonate and 18 (78%) who were overdue for intravenous bisphosphonate treatment. One veteran flagged as overdue for their denosumab injection was unable to receive it due to a significant change in health status. Two veterans were overdue for a PTH analogue refill, 1 of whom had completed their course and transitioned to bisphosphonate.

FDP04202096_T1

The most common alert was 40 patients (29%) with overdue laboratory tests, 37 of which were receiving bisphosphonates. One patient included on the dashboard was taking romosozumab and all their monitoring parameters were up to date, thus their data were not included in the Table to prevent possible identification.

Discussion

A dashboard alerted the osteoporosis clinic team to veterans who were overdue for visits, laboratory work, and prescription renewals. Overall, 92 patients (66%) had unmet care needs identified by the dashboard, all of which were addressed with phone calls and/or letters. Most of the overdue medication refills and laboratory tests were for patients taking bisphosphonates avoiding VAPSHCS during the COVID-19 pandemic. The dashboard enabled the RN coordinator to promptly contact the patient, facilitate coordination of care requirements, and guarantee the safe and efficient delivery of osteoporosis care.

The VA has historically been a leader in the creation of clinical dashboards to support health campaigns.11,12 These dashboards have successfully improved quality metrics towards the treatment of hepatitis C virus, heart failure, and highrisk opioid prescribing.13-15 Data have shown that successful clinical dashboard implementation must be done in conjunction with protected time or staff to support care improvements.16 Additionally, the time required for clinical dashboards can limit their sustainability and feasibility.17 A study aimed at improving osteoporosis care for patients with Parkinson disease found that weekly multidisciplinary review of at-risk patients resulted in all new patients and 91% of follow-up patients receiving evidence- based osteoporosis treatments.17 However, despite the benefits, the intervention required significant time and resources. In contrast, the osteoporosis dashboard implemented at VAPSHCS was not time or resource intensive, requiring about 1 hour per week for the RN coordinator to review the dashboard and coordinate patient care needs.

Limitations

This study setting is unique from other health care organizations or VA health care systems. Implementation of a similar dashboard in other clinical settings where patients receive medical care in multiple health care systems may differ. The VA dedicates resources to support veteran population health management, which may not be available in other health care systems.11,12 These issues may pose a barrier to implementing a similar osteoporosis dashboard in non-VA facilities. In addition, it is significant that while the dashboard can be reconfigured and adapted to track veterans across different VA facilities, certain complexities arise if essential data, such as laboratory tests and DXA imaging, are conducted outside of VA facilities. In such cases, manual entry of this information into the dashboard would be necessary. Because the dashboard was quickly developed during the COVID-19 pandemic, this study lacked preimplementation data on laboratory testing, medication refills, and DXA imaging, which would have enabled a comparison of adherence before and after dashboard implementation. Finally, we acknowledge the delay in publishing these findings; however, we believe sharing innovative approaches to providing care for high-risk populations is essential, as demonstrated during the COVID-19 pandemic.

Conclusions

An osteoporosis clinic dashboard served as a valuable clinical support tool to ensure safe and effective osteoporosis medication delivery at VAPSHCS. Considering the growing utilization of osteoporosis medications, this dashboard plays a vital role in facilitating care coordination for patients receiving these high-risk treatments.18 Use of the dashboard supported the effective use of high-cost osteoporosis medications and is likely to improve clinical osteoporosis outcomes.

Despite the known fracture risk reduction, osteoporosis medication adherence is low.19,20 Maintaining consistent pharmacotherapy for osteoporosis is essential not only for fracture prevention but also reducing health care costs related to osteoporosis and preserving patient independence and functionality.21-24 While initially developed in response to the COVID-19 pandemic, the dashboard remains useful. The VAPSHCS osteoporosis clinic is now staffed by 2 physicians (endocrine and rheumatology) and the dashboard is still in use. The RN coordinator spends about 15 minutes per week using the dashboard and managing the 67 veterans on osteoporosis therapy. This dashboard represents a sustainable clinical tool with the capacity to minimize osteoporosis care gaps and improve outcomes.

Osteoporotic fragility fractures constitute a significant public health concern, with 1 in 2 women and 1 in 5 men aged > 50 years sustaining an osteoporotic fracture.1 Osteoporotic fractures are costly and associated with reduced quality of life and impaired survival.2-6 Many interventions including fall mitigation, calcium, vitamin D supplementation, and osteoporosis—specific medications reduce fracture risk.7 New medications for treating osteoporosis, including anabolic therapies, are costly and require clinical oversight to ensure safe delivery. This includes laboratory monitoring, timing of in-clinic dosing and provision of sequence therapy.8,9 COVID-19 introduced numerous barriers to osteoporosis care, raising concerns for medication interruption and patients lost to follow-up, which made monitoring these high risk and costly medications even more important.

The US Department of Veterans Affairs (VA) was an early adopter of using the electronic health record to analyze and implement system-wide processes for population management and quality improvement.10 This enabled the creation of clinical dashboards to display key performance indicator data that support quality improvement and patient care initiatives.11-15 The VA Puget Sound Health Care System (VAPSHCS) has a dedicated osteoporosis clinic focused on preventing and treating veterans at high risk for fracture. Considering the growing utilization of osteoporosis medications, particularly those requiring timed sequential therapy to prevent bone mineral density loss and rebound osteoporotic fractures, close monitoring and follow-up is required. The COVID-19 pandemic made clear the need for proactive osteoporosis management. This article describes the creation and use of an automated clinic dashboard to identify and contact veterans with osteoporosis-related care needs, such as prescription refills, laboratory tests, and clinical visits.

Methods

An automated dashboard was created in partnership with VA pharmacy clinical informatics to display the osteoporosis medication prescription (including last refill), monitoring laboratory test values and most recent osteoporosis clinic visit for each clinic patient. Data from the VA Corporate Data Warehouse were extracted. The resulting tables were used to create a patient cohort with ≥ 1 active medication for alendronate, zoledronic acid, the parathyroid hormone analogues (PTH) teriparatide or abaloparatide, denosumab, or romosozumab. Notably, alendronate was the only oral bisphosphonate prescribed in the clinic. These data were formatted and displayed using Microsoft SQL Server Reporting Services. The secure and encrypted dashboard alerts the clinic staff when prescriptions, appointments, or laboratory tests, such as estimated glomerular filtration rate, 25-hydroxy vitamin D, calcium, and PTH are overdue or out of reference range. The dashboard tracked the most recent clinic visit or dual-energy X-ray absorptiometry (DXA) scan if performed within the VA. Overdue laboratory test alerts for bisphosphonates were flagged if delayed 12 months and 6 months for all other medications.

On March 20, 2021, the VAPSHCS osteoporosis clinic was staffed by 1 endocrinologist, 1 geriatrician, 1 rheumatologist, and 1 registered nurse (RN) coordinator. Overdue or out-of-range alerts were reviewed weekly by the RN coordinator, who addressed alerts. For any overdue laboratory work or prescription refills, the RN coordinator alerted the primary osteoporosis physician via the electronic health record for updated orders. Patients were contacted by phone to schedule a clinic visit, complete ordered laboratory work, or discuss osteoporosis medication refills based on the need identified by the dashboard. A letter was mailed to the patient requesting they contact the osteoporosis clinic for patients who could not be reached by phone after 2 attempts. If 3 attempts (2 phone calls and a letter) were unsuccessful, the osteoporosis physician was alerted so they could either call the patient, alert the primary referring clinician, or discontinue the osteoporosis medication.

Results

As of March 20, 2021, 139 patients were included on the dashboard. Ninety-two patients (66%) had unmet care needs and 29% were female. Ages ranged from 40 to 100 years (Table). The dashboard alerted the team to 3 patients lost to follow-up, all of whom had transferred to care outside the clinic. Twenty-three patients (17%) had overdue medications, including 2 (9%) who had not refilled oral bisphosphonate and 18 (78%) who were overdue for intravenous bisphosphonate treatment. One veteran flagged as overdue for their denosumab injection was unable to receive it due to a significant change in health status. Two veterans were overdue for a PTH analogue refill, 1 of whom had completed their course and transitioned to bisphosphonate.

FDP04202096_T1

The most common alert was 40 patients (29%) with overdue laboratory tests, 37 of which were receiving bisphosphonates. One patient included on the dashboard was taking romosozumab and all their monitoring parameters were up to date, thus their data were not included in the Table to prevent possible identification.

Discussion

A dashboard alerted the osteoporosis clinic team to veterans who were overdue for visits, laboratory work, and prescription renewals. Overall, 92 patients (66%) had unmet care needs identified by the dashboard, all of which were addressed with phone calls and/or letters. Most of the overdue medication refills and laboratory tests were for patients taking bisphosphonates avoiding VAPSHCS during the COVID-19 pandemic. The dashboard enabled the RN coordinator to promptly contact the patient, facilitate coordination of care requirements, and guarantee the safe and efficient delivery of osteoporosis care.

The VA has historically been a leader in the creation of clinical dashboards to support health campaigns.11,12 These dashboards have successfully improved quality metrics towards the treatment of hepatitis C virus, heart failure, and highrisk opioid prescribing.13-15 Data have shown that successful clinical dashboard implementation must be done in conjunction with protected time or staff to support care improvements.16 Additionally, the time required for clinical dashboards can limit their sustainability and feasibility.17 A study aimed at improving osteoporosis care for patients with Parkinson disease found that weekly multidisciplinary review of at-risk patients resulted in all new patients and 91% of follow-up patients receiving evidence- based osteoporosis treatments.17 However, despite the benefits, the intervention required significant time and resources. In contrast, the osteoporosis dashboard implemented at VAPSHCS was not time or resource intensive, requiring about 1 hour per week for the RN coordinator to review the dashboard and coordinate patient care needs.

Limitations

This study setting is unique from other health care organizations or VA health care systems. Implementation of a similar dashboard in other clinical settings where patients receive medical care in multiple health care systems may differ. The VA dedicates resources to support veteran population health management, which may not be available in other health care systems.11,12 These issues may pose a barrier to implementing a similar osteoporosis dashboard in non-VA facilities. In addition, it is significant that while the dashboard can be reconfigured and adapted to track veterans across different VA facilities, certain complexities arise if essential data, such as laboratory tests and DXA imaging, are conducted outside of VA facilities. In such cases, manual entry of this information into the dashboard would be necessary. Because the dashboard was quickly developed during the COVID-19 pandemic, this study lacked preimplementation data on laboratory testing, medication refills, and DXA imaging, which would have enabled a comparison of adherence before and after dashboard implementation. Finally, we acknowledge the delay in publishing these findings; however, we believe sharing innovative approaches to providing care for high-risk populations is essential, as demonstrated during the COVID-19 pandemic.

Conclusions

An osteoporosis clinic dashboard served as a valuable clinical support tool to ensure safe and effective osteoporosis medication delivery at VAPSHCS. Considering the growing utilization of osteoporosis medications, this dashboard plays a vital role in facilitating care coordination for patients receiving these high-risk treatments.18 Use of the dashboard supported the effective use of high-cost osteoporosis medications and is likely to improve clinical osteoporosis outcomes.

Despite the known fracture risk reduction, osteoporosis medication adherence is low.19,20 Maintaining consistent pharmacotherapy for osteoporosis is essential not only for fracture prevention but also reducing health care costs related to osteoporosis and preserving patient independence and functionality.21-24 While initially developed in response to the COVID-19 pandemic, the dashboard remains useful. The VAPSHCS osteoporosis clinic is now staffed by 2 physicians (endocrine and rheumatology) and the dashboard is still in use. The RN coordinator spends about 15 minutes per week using the dashboard and managing the 67 veterans on osteoporosis therapy. This dashboard represents a sustainable clinical tool with the capacity to minimize osteoporosis care gaps and improve outcomes.

References
  1. Johnell O, Kanis J. Epidemiology of osteoporotic fractures. Osteoporos Int. 2005;16(suppl 2):S3-S7. doi:10.1007/s00198-004-1702-6
  2. van Staa TP, Dennison EM, Leufkens HG, Cooper C. Epidemiology of fractures in England and Wales. Bone. 2001;29:517-522. doi:10.1016/s8756-3282(01)00614-7
  3. Dennison E, Cooper C. Epidemiology of osteoporotic fractures. Horm Res. 2000;54(suppl 1):58-63. doi:10.1159/000063449
  4. Cooper C. Epidemiology and public health impact of osteoporosis. Baillieres Clin Rheumatol. 1993;7:459-477. doi:10.1016/s0950-3579(05)80073-1
  5. Dolan P, Torgerson DJ. The cost of treating osteoporotic fractures in the United Kingdom female population. Osteoporos Int. 1998;8:611-617. doi:10.1007/s001980050107
  6. Burge R, Dawson-Hughes B, Solomon DH, Wong JB, King A, Tosteson A. Incidence and economic burden of osteoporosis-related fractures in the United States, 2005-2025. J Bone Miner Res. 2007;22:465-475. doi:10.1359/jbmr.061113
  7. Palacios S. Medical treatment of osteoporosis. Climacteric. 2022;25:43-49. doi:10.1080/13697137.2021.1951697
  8. Eastell R, Rosen CJ, Black DM, Cheung AM, Murad MH, Shoback D. Pharmacological management of osteoporosis in postmenopausal women: an Endocrine Society* clinical practice guideline. J Clin Endocrinol Metab. 2019;104:1595-1622. doi:10.1210/jc.2019-00221
  9. Watts NB, Adler RA, Bilezikian JP, et al. Osteoporosis in men: an Endocrine Society clinical practice guideline. J Clin Endocrinol Metab. 2012;97:1802-1822. doi:10.1210/jc.2011-3045
  10. Lau MK, Bounthavong M, Kay CL, Harvey MA, Christopher MLD. Clinical dashboard development and use for academic detailing in the U.S. Department of Veterans Affairs. J Am Pharm Assoc (2003). 2019;59(2S):S96-S103.e3. doi:10.1016/j.japh.2018.12.006
  11. Mould DR, D’Haens G, Upton RN. Clinical decision support tools: the evolution of a revolution. Clin Pharmacol Ther. 2016;99:405-418. doi:10.1002/cpt.334
  12. Kizer KW, Fonseca ML, Long LM. The veterans healthcare system: preparing for the twenty-first century. Hosp Health Serv Adm. 1997;42:283-298.
  13. Park A, Gonzalez R, Chartier M, et al. Screening and treating hepatitis c in the VA: achieving excellence using lean and system redesign. Fed Pract. 2018;35:24-29.
  14. Brownell N, Kay C, Parra D, et al. Development and optimization of the Veterans Affairs’ national heart failure dashboard for population health management. J Card Fail. 2024;30:452-459. doi:10.1016/j.cardfail.2023.08.024
  15. Lin LA, Bohnert ASB, Kerns RD, Clay MA, Ganoczy D, Ilgen MA. Impact of the opioid safety initiative on opioidrelated prescribing in veterans. Pain. 2017;158:833-839. doi:10.1097/j.pain.0000000000000837
  16. Twohig PA, Rivington JR, Gunzler D, Daprano J, Margolius D. Clinician dashboard views and improvement in preventative health outcome measures: a retrospective analysis. BMC Health Serv Res. 2019;19:475. doi:10.1186/s12913-019-4327-3
  17. Singh I, Fletcher R, Scanlon L, Tyler M, Aithal S. A quality improvement initiative on the management of osteoporosis in older people with Parkinsonism. BMJ Qual Improv Rep. 2016;5:u210921.w5756. doi:10.1136/bmjquality.u210921.w5756
  18. Anastasilakis AD, Makras P, Yavropoulou MP, Tabacco G, Naciu AM, Palermo A. Denosumab discontinuation and the rebound phenomenon: a narrative review. J Clin Med. 2021;10:152. doi:10.3390/jcm10010152
  19. Sharman Moser S, Yu J, Goldshtein I, et al. Cost and consequences of nonadherence with oral bisphosphonate therapy: findings from a real-world data analysis. Ann Pharmacother. 2016;50:262-269. doi:10.1177/1060028015626935
  20. Olsen KR, Hansen C, Abrahamsen B. Association between refill compliance to oral bisphosphonate treatment, incident fractures, and health care costs--an analysis using national health databases. Osteoporos Int. 2013;24:2639-2647. doi:10.1007/s00198-013-2365-y
  21. Blouin J, Dragomir A, Fredette M, Ste-Marie LG, Fernandes JC, Perreault S. Comparison of direct health care costs related to the pharmacological treatment of osteoporosis and to the management of osteoporotic fractures among compliant and noncompliant users of alendronate and risedronate: a population-based study. Osteoporos Int. 2009;20:1571-1581. doi:10.1007/s00198-008-0818-5
  22. Cotté F-E, De Pouvourville G. Cost of non-persistence with oral bisphosphonates in post-menopausal osteoporosis treatment in France. BMC Health Serv Res. 2011;11:151. doi:10.1186/1472-6963-11-151
  23. Cho H, Byun J-H, Song I, et al. Effect of improved medication adherence on health care costs in osteoporosis patients. Medicine (Baltimore). 2018;97:e11470. doi:10.1097/MD.0000000000011470
  24. Li N, Cornelissen D, Silverman S, et al. An updated systematic review of cost-effectiveness analyses of drugs for osteoporosis. Pharmacoeconomics. 2021;39:181-209. doi:10.1007/s40273-020-00965-9
References
  1. Johnell O, Kanis J. Epidemiology of osteoporotic fractures. Osteoporos Int. 2005;16(suppl 2):S3-S7. doi:10.1007/s00198-004-1702-6
  2. van Staa TP, Dennison EM, Leufkens HG, Cooper C. Epidemiology of fractures in England and Wales. Bone. 2001;29:517-522. doi:10.1016/s8756-3282(01)00614-7
  3. Dennison E, Cooper C. Epidemiology of osteoporotic fractures. Horm Res. 2000;54(suppl 1):58-63. doi:10.1159/000063449
  4. Cooper C. Epidemiology and public health impact of osteoporosis. Baillieres Clin Rheumatol. 1993;7:459-477. doi:10.1016/s0950-3579(05)80073-1
  5. Dolan P, Torgerson DJ. The cost of treating osteoporotic fractures in the United Kingdom female population. Osteoporos Int. 1998;8:611-617. doi:10.1007/s001980050107
  6. Burge R, Dawson-Hughes B, Solomon DH, Wong JB, King A, Tosteson A. Incidence and economic burden of osteoporosis-related fractures in the United States, 2005-2025. J Bone Miner Res. 2007;22:465-475. doi:10.1359/jbmr.061113
  7. Palacios S. Medical treatment of osteoporosis. Climacteric. 2022;25:43-49. doi:10.1080/13697137.2021.1951697
  8. Eastell R, Rosen CJ, Black DM, Cheung AM, Murad MH, Shoback D. Pharmacological management of osteoporosis in postmenopausal women: an Endocrine Society* clinical practice guideline. J Clin Endocrinol Metab. 2019;104:1595-1622. doi:10.1210/jc.2019-00221
  9. Watts NB, Adler RA, Bilezikian JP, et al. Osteoporosis in men: an Endocrine Society clinical practice guideline. J Clin Endocrinol Metab. 2012;97:1802-1822. doi:10.1210/jc.2011-3045
  10. Lau MK, Bounthavong M, Kay CL, Harvey MA, Christopher MLD. Clinical dashboard development and use for academic detailing in the U.S. Department of Veterans Affairs. J Am Pharm Assoc (2003). 2019;59(2S):S96-S103.e3. doi:10.1016/j.japh.2018.12.006
  11. Mould DR, D’Haens G, Upton RN. Clinical decision support tools: the evolution of a revolution. Clin Pharmacol Ther. 2016;99:405-418. doi:10.1002/cpt.334
  12. Kizer KW, Fonseca ML, Long LM. The veterans healthcare system: preparing for the twenty-first century. Hosp Health Serv Adm. 1997;42:283-298.
  13. Park A, Gonzalez R, Chartier M, et al. Screening and treating hepatitis c in the VA: achieving excellence using lean and system redesign. Fed Pract. 2018;35:24-29.
  14. Brownell N, Kay C, Parra D, et al. Development and optimization of the Veterans Affairs’ national heart failure dashboard for population health management. J Card Fail. 2024;30:452-459. doi:10.1016/j.cardfail.2023.08.024
  15. Lin LA, Bohnert ASB, Kerns RD, Clay MA, Ganoczy D, Ilgen MA. Impact of the opioid safety initiative on opioidrelated prescribing in veterans. Pain. 2017;158:833-839. doi:10.1097/j.pain.0000000000000837
  16. Twohig PA, Rivington JR, Gunzler D, Daprano J, Margolius D. Clinician dashboard views and improvement in preventative health outcome measures: a retrospective analysis. BMC Health Serv Res. 2019;19:475. doi:10.1186/s12913-019-4327-3
  17. Singh I, Fletcher R, Scanlon L, Tyler M, Aithal S. A quality improvement initiative on the management of osteoporosis in older people with Parkinsonism. BMJ Qual Improv Rep. 2016;5:u210921.w5756. doi:10.1136/bmjquality.u210921.w5756
  18. Anastasilakis AD, Makras P, Yavropoulou MP, Tabacco G, Naciu AM, Palermo A. Denosumab discontinuation and the rebound phenomenon: a narrative review. J Clin Med. 2021;10:152. doi:10.3390/jcm10010152
  19. Sharman Moser S, Yu J, Goldshtein I, et al. Cost and consequences of nonadherence with oral bisphosphonate therapy: findings from a real-world data analysis. Ann Pharmacother. 2016;50:262-269. doi:10.1177/1060028015626935
  20. Olsen KR, Hansen C, Abrahamsen B. Association between refill compliance to oral bisphosphonate treatment, incident fractures, and health care costs--an analysis using national health databases. Osteoporos Int. 2013;24:2639-2647. doi:10.1007/s00198-013-2365-y
  21. Blouin J, Dragomir A, Fredette M, Ste-Marie LG, Fernandes JC, Perreault S. Comparison of direct health care costs related to the pharmacological treatment of osteoporosis and to the management of osteoporotic fractures among compliant and noncompliant users of alendronate and risedronate: a population-based study. Osteoporos Int. 2009;20:1571-1581. doi:10.1007/s00198-008-0818-5
  22. Cotté F-E, De Pouvourville G. Cost of non-persistence with oral bisphosphonates in post-menopausal osteoporosis treatment in France. BMC Health Serv Res. 2011;11:151. doi:10.1186/1472-6963-11-151
  23. Cho H, Byun J-H, Song I, et al. Effect of improved medication adherence on health care costs in osteoporosis patients. Medicine (Baltimore). 2018;97:e11470. doi:10.1097/MD.0000000000011470
  24. Li N, Cornelissen D, Silverman S, et al. An updated systematic review of cost-effectiveness analyses of drugs for osteoporosis. Pharmacoeconomics. 2021;39:181-209. doi:10.1007/s40273-020-00965-9
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