Does Life, Liberty, and the Pursuit of Happiness Apply to Hospital Medicine?

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Does Life, Liberty, and the Pursuit of Happiness Apply to Hospital Medicine?

Every American knows this well-known phrase from the Declaration of Independence, which describes the three “unalienable rights” ordained on humans by their Creator and which governments are bound to dutifully protect. But I wonder if the last unalienable right has implications for career happiness in the healthcare industry, particularly for hospitalists. With the phrase now being 240 years old, it has understandably permeated every inch of American society and affected every crevice of the American psyche. Despite having this decreed inalienable right of the pursuit of happiness, there is evidence of widespread dissatisfaction and unhappiness within our profession.

Speaking of happiness, I was listening to a 60 Minutes podcast entitled “Heroin in the Heartland.” It described a widespread affliction of heroin among mainstream middle- and upper-class suburban youths.1 During the piece, they interviewed several addicted youngsters and their parents. I was struck by the story of a young woman named Hannah; she described how and why she became addicted to heroin in her upper-middle-class high school in Columbus, Ohio. She described how heroin made her feel. On a scale of 1–10 in happiness, she said it made her feel like a “26.” She and many of her friends became addicted to the feeling of happiness that was infused into them, a feeling that could not be replicated without the use of the drug. She and her friends started their road to addiction in a quest for their unalienable right of the pursuit of happiness.

Contrast that story with the “unhappiness factor” that plagues U.S. physicians. A 2014 survey found that 54% of physicians reported at least one symptom of burnout.2 That figure was up from 46% in a 2011 survey. From 2011 to 2014, satisfaction with work-life balance dropped to 41% from 49%. Within that same time frame, burnout and dissatisfaction showed very little change in other U.S. working adults, widening the gap in dissatisfaction between physicians and non-physicians. Even after adjusting for age, sex, relationship status, and hours worked, physicians still were almost twice as likely to experience burnout than other working U.S. adults, and they only had an odds ratio of satisfaction of 0.68 (95% CI, 0.62–0.75) compared with non-physicians. In another recent (and sobering) meta-analysis, researchers found that about a third of all resident physicians report depression or depressive symptoms during their training (ranging from 21% to 43%, depending on the instrument used).3

Could it be that physicians in the U.S., in their quest for the pursuit of happiness, are looking for happiness in all the wrong ways? I read an article recently on DailyGood entitled “Does Trying to Be Happy Make Us Unhappy?”4 It describes several studies that purport that the more value people place on trying to become happy, the less happy they actually become. It turns out that in order for us to figure out if we are happy, we are forced to evaluate our current level of happiness and set that against some benchmark (usually from our own past) to analyze where we are. The mere act of doing this moves us from an experiential mode to an evaluation mode, which puts us out of touch with those things in life that can bring us joy and contentment.

Social scientists have found that when we are immersed in the present, we don’t report being happy in that moment, but we do report happiness later when reflecting on those moments. Ruminating about whether we are unhappy, depressed, burned out, or unsatisfied makes us inwardly focused and makes us lose the ability to become immersed in the present.

Scientists also have found that we tend to overestimate how external influences, such as getting a promotion or moving into a new job, will inflate our happiness and that we all adapt to new experiences and quickly return to our baseline happiness (as if the change never occurred). They’ve also found that when we pursue happiness as an individual state, we become inwardly focused and less likely to actually achieve happiness. People who are more outwardly focused on how others feel (and not how they themselves feel) are much more likely to achieve a state of sustained happiness.

 

 

Finally, researchers have found that happiness is more likely achieved by pursuing frequent positive emotions rather than intense positive emotions. Many of us search for single intense emotional experiences (the winning of a gold medal) in the pursuit of happiness, but researchers found that the frequency of positive emotions are much more important than the intensity of positive emotions.

So maybe, as physicians in pursuit of happiness, we are going about this pursuit all wrong, with resultant depression, dissatisfaction, and burnout. We can’t change the Declaration of Independence or the American psyche, but we can change how we perceive that pursuit.

Happiness is not a goal to be achieved but a state of mind to be savored. Immersing ourselves in our daily life, we should be outwardly focused on our colleagues and our patients. If we take this approach, there is no other profession better suited to actually achieving sustained happiness. TH

References

1. Preview: heroin in the heartland. CBS News website. Available at: www.cbsnews.com/videos/preview-heroin-in-the-heartland. Accessed Feb. 1, 2016.

2. Shanafelt TD, Hasan O, Dyrbye LN, et al. Changes in burnout and satisfaction with work-life balance in physicians and the general US working population between 2011 and 2014. Mayo Clin Proc. 2015;90(12):1600-1613. doi:10.1016/j.maocop.2015.08.023.

3. Mata DA, Ramos MA, Bansal N. Prevalence of depression and depressive symptoms among resident physicians: a systematic review and meta-analysis. JAMA. 2015;314(22):2373-2383. doi:10.1001/jama.2015.15845.

4. Grant A. Does trying to be happy make us unhappy? DailyGood website. Available at: http://www.dailygood.org/story/1187/does-trying-to-be-happy-make-us-unhappy-adam-grant/. Accessed Feb. 1, 2016.


Dr. Scheurer is a hospitalist and chief quality officer at the Medical University of South Carolina in Charleston. She is physician editor of The Hospitalist. Email her at [email protected].

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Every American knows this well-known phrase from the Declaration of Independence, which describes the three “unalienable rights” ordained on humans by their Creator and which governments are bound to dutifully protect. But I wonder if the last unalienable right has implications for career happiness in the healthcare industry, particularly for hospitalists. With the phrase now being 240 years old, it has understandably permeated every inch of American society and affected every crevice of the American psyche. Despite having this decreed inalienable right of the pursuit of happiness, there is evidence of widespread dissatisfaction and unhappiness within our profession.

Speaking of happiness, I was listening to a 60 Minutes podcast entitled “Heroin in the Heartland.” It described a widespread affliction of heroin among mainstream middle- and upper-class suburban youths.1 During the piece, they interviewed several addicted youngsters and their parents. I was struck by the story of a young woman named Hannah; she described how and why she became addicted to heroin in her upper-middle-class high school in Columbus, Ohio. She described how heroin made her feel. On a scale of 1–10 in happiness, she said it made her feel like a “26.” She and many of her friends became addicted to the feeling of happiness that was infused into them, a feeling that could not be replicated without the use of the drug. She and her friends started their road to addiction in a quest for their unalienable right of the pursuit of happiness.

Contrast that story with the “unhappiness factor” that plagues U.S. physicians. A 2014 survey found that 54% of physicians reported at least one symptom of burnout.2 That figure was up from 46% in a 2011 survey. From 2011 to 2014, satisfaction with work-life balance dropped to 41% from 49%. Within that same time frame, burnout and dissatisfaction showed very little change in other U.S. working adults, widening the gap in dissatisfaction between physicians and non-physicians. Even after adjusting for age, sex, relationship status, and hours worked, physicians still were almost twice as likely to experience burnout than other working U.S. adults, and they only had an odds ratio of satisfaction of 0.68 (95% CI, 0.62–0.75) compared with non-physicians. In another recent (and sobering) meta-analysis, researchers found that about a third of all resident physicians report depression or depressive symptoms during their training (ranging from 21% to 43%, depending on the instrument used).3

Could it be that physicians in the U.S., in their quest for the pursuit of happiness, are looking for happiness in all the wrong ways? I read an article recently on DailyGood entitled “Does Trying to Be Happy Make Us Unhappy?”4 It describes several studies that purport that the more value people place on trying to become happy, the less happy they actually become. It turns out that in order for us to figure out if we are happy, we are forced to evaluate our current level of happiness and set that against some benchmark (usually from our own past) to analyze where we are. The mere act of doing this moves us from an experiential mode to an evaluation mode, which puts us out of touch with those things in life that can bring us joy and contentment.

Social scientists have found that when we are immersed in the present, we don’t report being happy in that moment, but we do report happiness later when reflecting on those moments. Ruminating about whether we are unhappy, depressed, burned out, or unsatisfied makes us inwardly focused and makes us lose the ability to become immersed in the present.

Scientists also have found that we tend to overestimate how external influences, such as getting a promotion or moving into a new job, will inflate our happiness and that we all adapt to new experiences and quickly return to our baseline happiness (as if the change never occurred). They’ve also found that when we pursue happiness as an individual state, we become inwardly focused and less likely to actually achieve happiness. People who are more outwardly focused on how others feel (and not how they themselves feel) are much more likely to achieve a state of sustained happiness.

 

 

Finally, researchers have found that happiness is more likely achieved by pursuing frequent positive emotions rather than intense positive emotions. Many of us search for single intense emotional experiences (the winning of a gold medal) in the pursuit of happiness, but researchers found that the frequency of positive emotions are much more important than the intensity of positive emotions.

So maybe, as physicians in pursuit of happiness, we are going about this pursuit all wrong, with resultant depression, dissatisfaction, and burnout. We can’t change the Declaration of Independence or the American psyche, but we can change how we perceive that pursuit.

Happiness is not a goal to be achieved but a state of mind to be savored. Immersing ourselves in our daily life, we should be outwardly focused on our colleagues and our patients. If we take this approach, there is no other profession better suited to actually achieving sustained happiness. TH

References

1. Preview: heroin in the heartland. CBS News website. Available at: www.cbsnews.com/videos/preview-heroin-in-the-heartland. Accessed Feb. 1, 2016.

2. Shanafelt TD, Hasan O, Dyrbye LN, et al. Changes in burnout and satisfaction with work-life balance in physicians and the general US working population between 2011 and 2014. Mayo Clin Proc. 2015;90(12):1600-1613. doi:10.1016/j.maocop.2015.08.023.

3. Mata DA, Ramos MA, Bansal N. Prevalence of depression and depressive symptoms among resident physicians: a systematic review and meta-analysis. JAMA. 2015;314(22):2373-2383. doi:10.1001/jama.2015.15845.

4. Grant A. Does trying to be happy make us unhappy? DailyGood website. Available at: http://www.dailygood.org/story/1187/does-trying-to-be-happy-make-us-unhappy-adam-grant/. Accessed Feb. 1, 2016.


Dr. Scheurer is a hospitalist and chief quality officer at the Medical University of South Carolina in Charleston. She is physician editor of The Hospitalist. Email her at [email protected].

Every American knows this well-known phrase from the Declaration of Independence, which describes the three “unalienable rights” ordained on humans by their Creator and which governments are bound to dutifully protect. But I wonder if the last unalienable right has implications for career happiness in the healthcare industry, particularly for hospitalists. With the phrase now being 240 years old, it has understandably permeated every inch of American society and affected every crevice of the American psyche. Despite having this decreed inalienable right of the pursuit of happiness, there is evidence of widespread dissatisfaction and unhappiness within our profession.

Speaking of happiness, I was listening to a 60 Minutes podcast entitled “Heroin in the Heartland.” It described a widespread affliction of heroin among mainstream middle- and upper-class suburban youths.1 During the piece, they interviewed several addicted youngsters and their parents. I was struck by the story of a young woman named Hannah; she described how and why she became addicted to heroin in her upper-middle-class high school in Columbus, Ohio. She described how heroin made her feel. On a scale of 1–10 in happiness, she said it made her feel like a “26.” She and many of her friends became addicted to the feeling of happiness that was infused into them, a feeling that could not be replicated without the use of the drug. She and her friends started their road to addiction in a quest for their unalienable right of the pursuit of happiness.

Contrast that story with the “unhappiness factor” that plagues U.S. physicians. A 2014 survey found that 54% of physicians reported at least one symptom of burnout.2 That figure was up from 46% in a 2011 survey. From 2011 to 2014, satisfaction with work-life balance dropped to 41% from 49%. Within that same time frame, burnout and dissatisfaction showed very little change in other U.S. working adults, widening the gap in dissatisfaction between physicians and non-physicians. Even after adjusting for age, sex, relationship status, and hours worked, physicians still were almost twice as likely to experience burnout than other working U.S. adults, and they only had an odds ratio of satisfaction of 0.68 (95% CI, 0.62–0.75) compared with non-physicians. In another recent (and sobering) meta-analysis, researchers found that about a third of all resident physicians report depression or depressive symptoms during their training (ranging from 21% to 43%, depending on the instrument used).3

Could it be that physicians in the U.S., in their quest for the pursuit of happiness, are looking for happiness in all the wrong ways? I read an article recently on DailyGood entitled “Does Trying to Be Happy Make Us Unhappy?”4 It describes several studies that purport that the more value people place on trying to become happy, the less happy they actually become. It turns out that in order for us to figure out if we are happy, we are forced to evaluate our current level of happiness and set that against some benchmark (usually from our own past) to analyze where we are. The mere act of doing this moves us from an experiential mode to an evaluation mode, which puts us out of touch with those things in life that can bring us joy and contentment.

Social scientists have found that when we are immersed in the present, we don’t report being happy in that moment, but we do report happiness later when reflecting on those moments. Ruminating about whether we are unhappy, depressed, burned out, or unsatisfied makes us inwardly focused and makes us lose the ability to become immersed in the present.

Scientists also have found that we tend to overestimate how external influences, such as getting a promotion or moving into a new job, will inflate our happiness and that we all adapt to new experiences and quickly return to our baseline happiness (as if the change never occurred). They’ve also found that when we pursue happiness as an individual state, we become inwardly focused and less likely to actually achieve happiness. People who are more outwardly focused on how others feel (and not how they themselves feel) are much more likely to achieve a state of sustained happiness.

 

 

Finally, researchers have found that happiness is more likely achieved by pursuing frequent positive emotions rather than intense positive emotions. Many of us search for single intense emotional experiences (the winning of a gold medal) in the pursuit of happiness, but researchers found that the frequency of positive emotions are much more important than the intensity of positive emotions.

So maybe, as physicians in pursuit of happiness, we are going about this pursuit all wrong, with resultant depression, dissatisfaction, and burnout. We can’t change the Declaration of Independence or the American psyche, but we can change how we perceive that pursuit.

Happiness is not a goal to be achieved but a state of mind to be savored. Immersing ourselves in our daily life, we should be outwardly focused on our colleagues and our patients. If we take this approach, there is no other profession better suited to actually achieving sustained happiness. TH

References

1. Preview: heroin in the heartland. CBS News website. Available at: www.cbsnews.com/videos/preview-heroin-in-the-heartland. Accessed Feb. 1, 2016.

2. Shanafelt TD, Hasan O, Dyrbye LN, et al. Changes in burnout and satisfaction with work-life balance in physicians and the general US working population between 2011 and 2014. Mayo Clin Proc. 2015;90(12):1600-1613. doi:10.1016/j.maocop.2015.08.023.

3. Mata DA, Ramos MA, Bansal N. Prevalence of depression and depressive symptoms among resident physicians: a systematic review and meta-analysis. JAMA. 2015;314(22):2373-2383. doi:10.1001/jama.2015.15845.

4. Grant A. Does trying to be happy make us unhappy? DailyGood website. Available at: http://www.dailygood.org/story/1187/does-trying-to-be-happy-make-us-unhappy-adam-grant/. Accessed Feb. 1, 2016.


Dr. Scheurer is a hospitalist and chief quality officer at the Medical University of South Carolina in Charleston. She is physician editor of The Hospitalist. Email her at [email protected].

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Dabigatran and Warfarin are Both Used for Stroke-prevention in Patients with AF but their Side effects Differ

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NEW YORK (Reuters Health) - Dabigatran and warfarin offer similar stroke-prevention efficacy in patients with atrial fibrillation (AF), but their side effect profiles differ, according to a systematic review and meta-analysis of real-world clinical practice.

"There could be many reasons for the differences in our findings, such as differences in the quality of evidence of observational studies and randomized controlled trials (RCTs) or differences in the included study populations between the observational studies in our review and the RE-LY trial," Dr. Robert J. Romanelli from Palo Alto Medical Foundation Research Institute, California, told Reuters Health by email.

The RE-LY trial is the only RCT to have evaluated dabigatran in stroke prevention, and RCTs are prone to selection biases less likely to be present in well designed observational studies, Dr. Romanelli and colleagues note in Circulation:Cardiovascular and Quality Outcomes, online January 26.

The team used data from seven retrospective cohort studies to compare the effectiveness and safety of dabigatran and warfarin among more than 348,750 patients with nonvalvular AF.

During an overall mean follow-up of 794 days, dabigatran 150mg or 110 mg was similar to warfarin in ischemic stroke prevention.

Both the higher and lower dabigatran doses had significantly lower hazards of intracranial bleeding compared with warfarin (pooled hazard ratio, 0.44 and 0.49, respectively). But the hazard of gastrointestinal bleeding was significantly greater for dabigatran 150 mg (but not for 110 mg) than for warfarin (pHR, 1.23). The 110 mg dose of dabigatran was only available during the trial; it's now sold in 150 mg or 75 mg capsules.

The increased risk of gastrointestinal bleeding with the higher dose of dabigatran was significant only in older populations (75 years or older).

"Data presented in this review reflect relative risk, which is not always clinically meaningful," the researchers caution. "It is important to bear in mind that event rates for the outcome of interest are low under standard treatment."

"I don't think the findings from this one reviewshould change clinical practice," Dr. Romanelli said. "If anything, this study revealed areas for future research.

 

 

 

 

 

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NEW YORK (Reuters Health) - Dabigatran and warfarin offer similar stroke-prevention efficacy in patients with atrial fibrillation (AF), but their side effect profiles differ, according to a systematic review and meta-analysis of real-world clinical practice.

"There could be many reasons for the differences in our findings, such as differences in the quality of evidence of observational studies and randomized controlled trials (RCTs) or differences in the included study populations between the observational studies in our review and the RE-LY trial," Dr. Robert J. Romanelli from Palo Alto Medical Foundation Research Institute, California, told Reuters Health by email.

The RE-LY trial is the only RCT to have evaluated dabigatran in stroke prevention, and RCTs are prone to selection biases less likely to be present in well designed observational studies, Dr. Romanelli and colleagues note in Circulation:Cardiovascular and Quality Outcomes, online January 26.

The team used data from seven retrospective cohort studies to compare the effectiveness and safety of dabigatran and warfarin among more than 348,750 patients with nonvalvular AF.

During an overall mean follow-up of 794 days, dabigatran 150mg or 110 mg was similar to warfarin in ischemic stroke prevention.

Both the higher and lower dabigatran doses had significantly lower hazards of intracranial bleeding compared with warfarin (pooled hazard ratio, 0.44 and 0.49, respectively). But the hazard of gastrointestinal bleeding was significantly greater for dabigatran 150 mg (but not for 110 mg) than for warfarin (pHR, 1.23). The 110 mg dose of dabigatran was only available during the trial; it's now sold in 150 mg or 75 mg capsules.

The increased risk of gastrointestinal bleeding with the higher dose of dabigatran was significant only in older populations (75 years or older).

"Data presented in this review reflect relative risk, which is not always clinically meaningful," the researchers caution. "It is important to bear in mind that event rates for the outcome of interest are low under standard treatment."

"I don't think the findings from this one reviewshould change clinical practice," Dr. Romanelli said. "If anything, this study revealed areas for future research.

 

 

 

 

 

NEW YORK (Reuters Health) - Dabigatran and warfarin offer similar stroke-prevention efficacy in patients with atrial fibrillation (AF), but their side effect profiles differ, according to a systematic review and meta-analysis of real-world clinical practice.

"There could be many reasons for the differences in our findings, such as differences in the quality of evidence of observational studies and randomized controlled trials (RCTs) or differences in the included study populations between the observational studies in our review and the RE-LY trial," Dr. Robert J. Romanelli from Palo Alto Medical Foundation Research Institute, California, told Reuters Health by email.

The RE-LY trial is the only RCT to have evaluated dabigatran in stroke prevention, and RCTs are prone to selection biases less likely to be present in well designed observational studies, Dr. Romanelli and colleagues note in Circulation:Cardiovascular and Quality Outcomes, online January 26.

The team used data from seven retrospective cohort studies to compare the effectiveness and safety of dabigatran and warfarin among more than 348,750 patients with nonvalvular AF.

During an overall mean follow-up of 794 days, dabigatran 150mg or 110 mg was similar to warfarin in ischemic stroke prevention.

Both the higher and lower dabigatran doses had significantly lower hazards of intracranial bleeding compared with warfarin (pooled hazard ratio, 0.44 and 0.49, respectively). But the hazard of gastrointestinal bleeding was significantly greater for dabigatran 150 mg (but not for 110 mg) than for warfarin (pHR, 1.23). The 110 mg dose of dabigatran was only available during the trial; it's now sold in 150 mg or 75 mg capsules.

The increased risk of gastrointestinal bleeding with the higher dose of dabigatran was significant only in older populations (75 years or older).

"Data presented in this review reflect relative risk, which is not always clinically meaningful," the researchers caution. "It is important to bear in mind that event rates for the outcome of interest are low under standard treatment."

"I don't think the findings from this one reviewshould change clinical practice," Dr. Romanelli said. "If anything, this study revealed areas for future research.

 

 

 

 

 

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Health Canada approves ruxolitinib for PV

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Micrograph showing PV

Image courtesy of AFIP

Health Canada has approved the JAK1/2 inhibitor ruxolitinib (Jakavi) for the control of hematocrit in adult patients with polycythemia vera (PV) that is resistant to or intolerant of a cytoreductive agent.

Ruxolitinib is the first targeted treatment approved to treat PV in Canada.

The approval is based on results of the phase 3 RESPONSE trial, which showed that ruxolitinib could provide hematocrit control without phlebotomy in patients with PV.

For RESPONSE, researchers compared ruxolitinib to best available therapy (BAT) for PV. The trial was sponsored by Incyte Corporation and Novartis Pharmaceuticals, the companies developing ruxolitinib.

The study’s primary endpoint was the proportion of patients who achieved hematocrit control and were not eligible for phlebotomy from weeks 8 through 32 (with no more than 1 instance of phlebotomy eligibility between randomization and week 8) and who saw a 35% or greater reduction in spleen volume from baseline, as assessed by imaging at week 32.

The primary endpoint was met by significantly more patients in the ruxolitinib arm than the BAT arm— 20.9% and 0.9%, respectively (P<0.0001).

Sixty percent of patients in the ruxolitinib arm achieved hematocrit control, as did 19.6% of patients in the BAT arm. The percentage of patients who had at least a 35% reduction in spleen volume was 38.2% in the ruxolitinib arm and 0.9% in the BAT arm.

The proportion of patients achieving a complete hematologic remission at week 32 was 23.6% in the ruxolitinib arm and 8.9% in the BAT arm (P=0.0028). The proportion of patients achieving a durable primary response at week 48 was 19.1% in the ruxolitinib arm and 0.9% in the BAT arm (P<0.0001).

At 80 weeks, the most common adverse events in the ruxolitinib arm were headache (22%), diarrhea (20%), pruritus (20%), and fatigue (17%). Grade 3 or 4 anemia and thrombocytopenia occurred in 2% and 6% of patients, respectively. Five percent of patients discontinued ruxolitinib due to adverse events.

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Micrograph showing PV

Image courtesy of AFIP

Health Canada has approved the JAK1/2 inhibitor ruxolitinib (Jakavi) for the control of hematocrit in adult patients with polycythemia vera (PV) that is resistant to or intolerant of a cytoreductive agent.

Ruxolitinib is the first targeted treatment approved to treat PV in Canada.

The approval is based on results of the phase 3 RESPONSE trial, which showed that ruxolitinib could provide hematocrit control without phlebotomy in patients with PV.

For RESPONSE, researchers compared ruxolitinib to best available therapy (BAT) for PV. The trial was sponsored by Incyte Corporation and Novartis Pharmaceuticals, the companies developing ruxolitinib.

The study’s primary endpoint was the proportion of patients who achieved hematocrit control and were not eligible for phlebotomy from weeks 8 through 32 (with no more than 1 instance of phlebotomy eligibility between randomization and week 8) and who saw a 35% or greater reduction in spleen volume from baseline, as assessed by imaging at week 32.

The primary endpoint was met by significantly more patients in the ruxolitinib arm than the BAT arm— 20.9% and 0.9%, respectively (P<0.0001).

Sixty percent of patients in the ruxolitinib arm achieved hematocrit control, as did 19.6% of patients in the BAT arm. The percentage of patients who had at least a 35% reduction in spleen volume was 38.2% in the ruxolitinib arm and 0.9% in the BAT arm.

The proportion of patients achieving a complete hematologic remission at week 32 was 23.6% in the ruxolitinib arm and 8.9% in the BAT arm (P=0.0028). The proportion of patients achieving a durable primary response at week 48 was 19.1% in the ruxolitinib arm and 0.9% in the BAT arm (P<0.0001).

At 80 weeks, the most common adverse events in the ruxolitinib arm were headache (22%), diarrhea (20%), pruritus (20%), and fatigue (17%). Grade 3 or 4 anemia and thrombocytopenia occurred in 2% and 6% of patients, respectively. Five percent of patients discontinued ruxolitinib due to adverse events.

Micrograph showing PV

Image courtesy of AFIP

Health Canada has approved the JAK1/2 inhibitor ruxolitinib (Jakavi) for the control of hematocrit in adult patients with polycythemia vera (PV) that is resistant to or intolerant of a cytoreductive agent.

Ruxolitinib is the first targeted treatment approved to treat PV in Canada.

The approval is based on results of the phase 3 RESPONSE trial, which showed that ruxolitinib could provide hematocrit control without phlebotomy in patients with PV.

For RESPONSE, researchers compared ruxolitinib to best available therapy (BAT) for PV. The trial was sponsored by Incyte Corporation and Novartis Pharmaceuticals, the companies developing ruxolitinib.

The study’s primary endpoint was the proportion of patients who achieved hematocrit control and were not eligible for phlebotomy from weeks 8 through 32 (with no more than 1 instance of phlebotomy eligibility between randomization and week 8) and who saw a 35% or greater reduction in spleen volume from baseline, as assessed by imaging at week 32.

The primary endpoint was met by significantly more patients in the ruxolitinib arm than the BAT arm— 20.9% and 0.9%, respectively (P<0.0001).

Sixty percent of patients in the ruxolitinib arm achieved hematocrit control, as did 19.6% of patients in the BAT arm. The percentage of patients who had at least a 35% reduction in spleen volume was 38.2% in the ruxolitinib arm and 0.9% in the BAT arm.

The proportion of patients achieving a complete hematologic remission at week 32 was 23.6% in the ruxolitinib arm and 8.9% in the BAT arm (P=0.0028). The proportion of patients achieving a durable primary response at week 48 was 19.1% in the ruxolitinib arm and 0.9% in the BAT arm (P<0.0001).

At 80 weeks, the most common adverse events in the ruxolitinib arm were headache (22%), diarrhea (20%), pruritus (20%), and fatigue (17%). Grade 3 or 4 anemia and thrombocytopenia occurred in 2% and 6% of patients, respectively. Five percent of patients discontinued ruxolitinib due to adverse events.

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Blood collection set gets FDA clearance, CE mark

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Blood samples

Photo by Graham Colm

A new blood collection set has received 510(k) clearance from the US Food and Drug Administration as well as the CE mark, which means it can be marketed within the European Economic Area.

The BD Vacutainer® UltraTouch™ Push Button Blood Collection Set is engineered to minimize patient discomfort during blood collection.

The set uses proprietary needle technology—Pentapoint™ Comfort and RightGauge™ Ultra-Thin Wall technology.

According to the manufacturer, BD, this technology can reduce penetration forces without compromising tube fill times or sample quality.

Research has shown that PentaPoint™ Comfort 5-bevel needle technology helps reduce the chance of a painful injection by creating a flatter, thinner surface to help penetrate the skin with significantly greater ease.1

When combined with RightGauge™ technology, which increases the needle’s inner diameter and enables clinicians to select a smaller gauge needle without sacrificing sample quality and blood flow, the BD Vacutainer® UltraTouch™ Push Button Blood Collection Set has been shown to reduce penetration forces by up to 32% when compared to another blood collection set.2

“The ability to use smaller gauge needles should also help clinicians access veins more successfully,” said Ana K. Stankovic, MD, PhD, worldwide vice president of Medical Affairs for BD Life Sciences – Preanalytical Systems and Global Health.

“This could prove especially valuable in patient populations—such as oncology, geriatric, and pediatric—that often have difficult or fragile veins.”

Dr Stankovic also noted that clinicians may be reluctant to use smaller gauge needles for fear of increasing hemolysis as the blood passes slowly through the narrow cannula.

“With BD Vacutainer® UltraTouch™ Push Button Blood Collection Sets, clinicians can select the gauge that is most appropriate for their patients, without compromising sample quality, testing accuracy, and their own efficiency,” she said.

1. Hirsch LJ, et al. Journal of Diabetes Science and Technology. 2012, 6(2):328-35.

2. 2015 BD bench testing versus BD Vacutainer® Push Button Blood Collection Sets.

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Blood samples

Photo by Graham Colm

A new blood collection set has received 510(k) clearance from the US Food and Drug Administration as well as the CE mark, which means it can be marketed within the European Economic Area.

The BD Vacutainer® UltraTouch™ Push Button Blood Collection Set is engineered to minimize patient discomfort during blood collection.

The set uses proprietary needle technology—Pentapoint™ Comfort and RightGauge™ Ultra-Thin Wall technology.

According to the manufacturer, BD, this technology can reduce penetration forces without compromising tube fill times or sample quality.

Research has shown that PentaPoint™ Comfort 5-bevel needle technology helps reduce the chance of a painful injection by creating a flatter, thinner surface to help penetrate the skin with significantly greater ease.1

When combined with RightGauge™ technology, which increases the needle’s inner diameter and enables clinicians to select a smaller gauge needle without sacrificing sample quality and blood flow, the BD Vacutainer® UltraTouch™ Push Button Blood Collection Set has been shown to reduce penetration forces by up to 32% when compared to another blood collection set.2

“The ability to use smaller gauge needles should also help clinicians access veins more successfully,” said Ana K. Stankovic, MD, PhD, worldwide vice president of Medical Affairs for BD Life Sciences – Preanalytical Systems and Global Health.

“This could prove especially valuable in patient populations—such as oncology, geriatric, and pediatric—that often have difficult or fragile veins.”

Dr Stankovic also noted that clinicians may be reluctant to use smaller gauge needles for fear of increasing hemolysis as the blood passes slowly through the narrow cannula.

“With BD Vacutainer® UltraTouch™ Push Button Blood Collection Sets, clinicians can select the gauge that is most appropriate for their patients, without compromising sample quality, testing accuracy, and their own efficiency,” she said.

1. Hirsch LJ, et al. Journal of Diabetes Science and Technology. 2012, 6(2):328-35.

2. 2015 BD bench testing versus BD Vacutainer® Push Button Blood Collection Sets.

Blood samples

Photo by Graham Colm

A new blood collection set has received 510(k) clearance from the US Food and Drug Administration as well as the CE mark, which means it can be marketed within the European Economic Area.

The BD Vacutainer® UltraTouch™ Push Button Blood Collection Set is engineered to minimize patient discomfort during blood collection.

The set uses proprietary needle technology—Pentapoint™ Comfort and RightGauge™ Ultra-Thin Wall technology.

According to the manufacturer, BD, this technology can reduce penetration forces without compromising tube fill times or sample quality.

Research has shown that PentaPoint™ Comfort 5-bevel needle technology helps reduce the chance of a painful injection by creating a flatter, thinner surface to help penetrate the skin with significantly greater ease.1

When combined with RightGauge™ technology, which increases the needle’s inner diameter and enables clinicians to select a smaller gauge needle without sacrificing sample quality and blood flow, the BD Vacutainer® UltraTouch™ Push Button Blood Collection Set has been shown to reduce penetration forces by up to 32% when compared to another blood collection set.2

“The ability to use smaller gauge needles should also help clinicians access veins more successfully,” said Ana K. Stankovic, MD, PhD, worldwide vice president of Medical Affairs for BD Life Sciences – Preanalytical Systems and Global Health.

“This could prove especially valuable in patient populations—such as oncology, geriatric, and pediatric—that often have difficult or fragile veins.”

Dr Stankovic also noted that clinicians may be reluctant to use smaller gauge needles for fear of increasing hemolysis as the blood passes slowly through the narrow cannula.

“With BD Vacutainer® UltraTouch™ Push Button Blood Collection Sets, clinicians can select the gauge that is most appropriate for their patients, without compromising sample quality, testing accuracy, and their own efficiency,” she said.

1. Hirsch LJ, et al. Journal of Diabetes Science and Technology. 2012, 6(2):328-35.

2. 2015 BD bench testing versus BD Vacutainer® Push Button Blood Collection Sets.

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Risk of reproductive problems in male cancer survivors

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Risk of reproductive problems in male cancer survivors

Father and son

A study of Norwegian men has revealed several factors that may help predict reproductive problems among males diagnosed with cancer before age 25.

Cancer type, age at diagnosis, and time period of diagnosis were all associated with the likelihood of paternity.

And although cancer survivors were less likely to reproduce and more likely to use assisted reproductive technology, their first offspring were no less healthy than the offspring of control subjects.

This research was published in the British Journal of Cancer.

The study began with all Norwegian men born between 1965 and 1985 (n=626,495). The researchers excluded men who emigrated or died before reaching fertile age, which left 2687 men who were diagnosed with cancer before age 25 and 607,668 cancer-free controls.

The most common cancers were testicular cancer (27%), CNS tumors (18%), lymphoma (15%), and leukemia (13%). Thirty percent of the cancer cases were diagnosed in childhood (0–14 years of age), 26% in adolescence (15–19 years), and 43% in young adulthood (20–24 years).

Nine percent (n=247) of cancer cases were diagnosed from 1965 through 1979, 50% (n=1346) from 1980 through 1994, and 41% (n=1094) from 1995 through 2007.

The cancer survivors were less likely to have children than controls, with a hazard ratio (HR) of 0.72.

The reduction in paternity was significant for survivors of leukemia (HR=0.78), lymphoma (HR=0.78), testicular cancer (HR=0.77), CNS tumors (HR=0.45), bone tumors (HR=0.69), sympathetic nervous system tumors (HR=0.50), and retinoblastoma (HR=0.52).

The reduction in paternity was also more pronounced for cancer patients diagnosed before 1995. The HR was 0.61 for those diagnosed from 1965 through 1979 and 0.66 for those diagnosed from 1980 through 1994.

Patients who were diagnosed before age 15 were less likely to reproduce as well, with an HR of 0.59.

“These finds are important for male cancer survivors, seeing as we can identify groups at risk of having reproduction problems,” said study author Maria Winther Gunnes, a PhD candidate at the University of Bergen in Norway.

Another finding was that male cancer survivors were more likely than controls to have pregnancies resulting from assisted reproductive technology. The relative risk was 3.32.

When assessed by cancer type, the relative risk was 2.29 for leukemia, 3.79 for lymphoma, 2.41 for CNS tumors, 5.71 for sympathetic nervous system tumors, 2.20 for renal tumors, 4.77 for bone tumors, 1.32 for soft tissue sarcomas, 3.70 for testicular cancer, 4.36 for thyroid carcinoma, and 0.45 for malignant melanoma.

There was no increased risk among the first offspring of cancer survivors for perinatal death, congenital malformations, being small for gestational age, low birth weight, or preterm birth.

“It is important to be able to assure young male cancer survivors that their illness and treatment will not have a negative impact on their own children,” Gunnes said.

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Father and son

A study of Norwegian men has revealed several factors that may help predict reproductive problems among males diagnosed with cancer before age 25.

Cancer type, age at diagnosis, and time period of diagnosis were all associated with the likelihood of paternity.

And although cancer survivors were less likely to reproduce and more likely to use assisted reproductive technology, their first offspring were no less healthy than the offspring of control subjects.

This research was published in the British Journal of Cancer.

The study began with all Norwegian men born between 1965 and 1985 (n=626,495). The researchers excluded men who emigrated or died before reaching fertile age, which left 2687 men who were diagnosed with cancer before age 25 and 607,668 cancer-free controls.

The most common cancers were testicular cancer (27%), CNS tumors (18%), lymphoma (15%), and leukemia (13%). Thirty percent of the cancer cases were diagnosed in childhood (0–14 years of age), 26% in adolescence (15–19 years), and 43% in young adulthood (20–24 years).

Nine percent (n=247) of cancer cases were diagnosed from 1965 through 1979, 50% (n=1346) from 1980 through 1994, and 41% (n=1094) from 1995 through 2007.

The cancer survivors were less likely to have children than controls, with a hazard ratio (HR) of 0.72.

The reduction in paternity was significant for survivors of leukemia (HR=0.78), lymphoma (HR=0.78), testicular cancer (HR=0.77), CNS tumors (HR=0.45), bone tumors (HR=0.69), sympathetic nervous system tumors (HR=0.50), and retinoblastoma (HR=0.52).

The reduction in paternity was also more pronounced for cancer patients diagnosed before 1995. The HR was 0.61 for those diagnosed from 1965 through 1979 and 0.66 for those diagnosed from 1980 through 1994.

Patients who were diagnosed before age 15 were less likely to reproduce as well, with an HR of 0.59.

“These finds are important for male cancer survivors, seeing as we can identify groups at risk of having reproduction problems,” said study author Maria Winther Gunnes, a PhD candidate at the University of Bergen in Norway.

Another finding was that male cancer survivors were more likely than controls to have pregnancies resulting from assisted reproductive technology. The relative risk was 3.32.

When assessed by cancer type, the relative risk was 2.29 for leukemia, 3.79 for lymphoma, 2.41 for CNS tumors, 5.71 for sympathetic nervous system tumors, 2.20 for renal tumors, 4.77 for bone tumors, 1.32 for soft tissue sarcomas, 3.70 for testicular cancer, 4.36 for thyroid carcinoma, and 0.45 for malignant melanoma.

There was no increased risk among the first offspring of cancer survivors for perinatal death, congenital malformations, being small for gestational age, low birth weight, or preterm birth.

“It is important to be able to assure young male cancer survivors that their illness and treatment will not have a negative impact on their own children,” Gunnes said.

Father and son

A study of Norwegian men has revealed several factors that may help predict reproductive problems among males diagnosed with cancer before age 25.

Cancer type, age at diagnosis, and time period of diagnosis were all associated with the likelihood of paternity.

And although cancer survivors were less likely to reproduce and more likely to use assisted reproductive technology, their first offspring were no less healthy than the offspring of control subjects.

This research was published in the British Journal of Cancer.

The study began with all Norwegian men born between 1965 and 1985 (n=626,495). The researchers excluded men who emigrated or died before reaching fertile age, which left 2687 men who were diagnosed with cancer before age 25 and 607,668 cancer-free controls.

The most common cancers were testicular cancer (27%), CNS tumors (18%), lymphoma (15%), and leukemia (13%). Thirty percent of the cancer cases were diagnosed in childhood (0–14 years of age), 26% in adolescence (15–19 years), and 43% in young adulthood (20–24 years).

Nine percent (n=247) of cancer cases were diagnosed from 1965 through 1979, 50% (n=1346) from 1980 through 1994, and 41% (n=1094) from 1995 through 2007.

The cancer survivors were less likely to have children than controls, with a hazard ratio (HR) of 0.72.

The reduction in paternity was significant for survivors of leukemia (HR=0.78), lymphoma (HR=0.78), testicular cancer (HR=0.77), CNS tumors (HR=0.45), bone tumors (HR=0.69), sympathetic nervous system tumors (HR=0.50), and retinoblastoma (HR=0.52).

The reduction in paternity was also more pronounced for cancer patients diagnosed before 1995. The HR was 0.61 for those diagnosed from 1965 through 1979 and 0.66 for those diagnosed from 1980 through 1994.

Patients who were diagnosed before age 15 were less likely to reproduce as well, with an HR of 0.59.

“These finds are important for male cancer survivors, seeing as we can identify groups at risk of having reproduction problems,” said study author Maria Winther Gunnes, a PhD candidate at the University of Bergen in Norway.

Another finding was that male cancer survivors were more likely than controls to have pregnancies resulting from assisted reproductive technology. The relative risk was 3.32.

When assessed by cancer type, the relative risk was 2.29 for leukemia, 3.79 for lymphoma, 2.41 for CNS tumors, 5.71 for sympathetic nervous system tumors, 2.20 for renal tumors, 4.77 for bone tumors, 1.32 for soft tissue sarcomas, 3.70 for testicular cancer, 4.36 for thyroid carcinoma, and 0.45 for malignant melanoma.

There was no increased risk among the first offspring of cancer survivors for perinatal death, congenital malformations, being small for gestational age, low birth weight, or preterm birth.

“It is important to be able to assure young male cancer survivors that their illness and treatment will not have a negative impact on their own children,” Gunnes said.

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A Patient's Perspective on Readmissions

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From discharge to readmission: Understanding the process from the patient perspective

Years into the national discourse on reducing readmissions, hospitals and providers are still struggling with how to sustainably reduce 30‐day readmissions.[1] All‐cause hospital readmission rates for Medicare benificiaries averaged 19% from 2007 through 2011 and showed only a modest improvement to 18.4% in 2012.[2] A review of 43 studies in 2011 concluded that no single intervention was reliably associated with reducing readmission rates.[3] However, although no institution has found a magic bullet for reducing readmissions, progress has been made. A 2014 meta‐analysis of randomized trials aimed at preventing 30‐day readmissions found that overall readmission interventions are effective, and that the most successful interventions are more complex in nature and focus on empowering patients to engage in self‐care after discharge.[4] Readmission reduction efforts for patients with specific diagnoses have also made gains. Among patients with heart failure, for instance, higher rates of early outpatient follow‐up and care‐transition interventions for high‐risk patients have been shown to reduce 30‐day readmissions.[5, 6]

An emerging, yet still underexplored, area in readmissions is the importance of evaluating patient perspectives. The patient has intimate knowledge of the circumstances surrounding their readmission and can be a valuable resource. This is particularly true given evidence that patient perspectives do not always align with those of providers.[7, 8] Coleman's Care Transitions Intervention was one of the earliest care‐transition models demonstrating value in engaging patients to become actively involved in their care.[9] Since then, others have begun to analyze transitions of care from the patient perspective, identifying patient‐reported needs in anticipation of discharge and after they are home.[10, 11, 12, 13, 14] However, still only a few studies have endeavored to gain a thorough understanding of the readmitted patient perspective.[7, 15, 16] These studies have already identified important issues such as lack of patient readiness for discharge and the need for additional advanced care planning and caregiver resources. A few smaller studies have interviewed readmitted patients with specific diagnoses and have also shed light on disease‐specific issues.[17, 18, 19, 20] Outside the field of readmissions, improving patient‐centered communication has been shown to reduce expenditures on diagnostic tests,[21, 22] increase adherence to treatment,[23] and improve health outcomes.[24, 25] It is time for us to incorporate the patient voice into all areas of care.

In 2014, our group published the results of a study aimed at understanding the patient perspective surrounding readmissions. In this study, 27% of patients believed their readmission could have been prevented. This opinion was associated with not feeling ready for discharge, not having a follow‐up appointment scheduled, and poor satisfaction with the discharging team.[7] A key observation in these initial interviews was that patients often expressed sentiments of relief rather than frustration when they returned to the hospital. With the results of this previous study in mind, we designed a more comprehensive evaluation to investigate why patients felt unprepared for discharge, explore reasons for and attitudes surrounding readmissions, and identify patient‐centered interventions that could prevent future readmissions.

METHODS

Study Design and Recruitment

We designed the study as an in‐person survey of readmitted patients. Over a 7‐month period (February 11, 2014September 8, 2014), we identified all patients readmitted within 30 days to general medicine and cardiology services through daily queries from the electronic health record. The study took place in a 540‐bed tertiary academic medical center, as well as a 266‐bed affiliated community hospital. We reviewed the discharge summary from the index admission and the history and physical documentation from the readmission for exclusion criteria. Patients were excluded if they were: (1) readmitted to the intensive care unit, (2) had a planned readmission, (3) received an organ transplant in the preceding 3 months, (4) did not speak English, or (5) had a physical or mental incapacity preventing interview and no family member or caregiver was available to interview.

Patient Interviews

Five trained study volunteers approached all eligible patients for an interview starting the day after the patient was readmitted. Prior to the start of the interview, we obtained verbal consent from all patients. Interviews typically lasted 10 to 30 minutes in the patient's hospital room. Caregivers and/or family members were allowed to respond to interview questions if the patient granted them permission or if the patient was unable to participate. The interviewers were not part of the patient's medical team and the patients could refuse the interview at any time. According to the University of California Los Angeles (UCLA) Institutional Review Board, this work met criteria for quality‐improvement activities and was deemed to be exempt.

The survey was comprised of 24 questions addressing causes, preventability, and attitudes toward readmissions, readiness for discharge, quality of the discharge process, outpatient resources, and follow‐up care (see Supporting Information in the online version of this article). These areas of focus were chosen based on a pilot study of 98 patient interviews in which these topics emerged as worthy of further investigation.[7] With regard to patient readiness for discharge, we investigated correlations between patient readiness and symptom resolution, pain control, discharge location, level of support at home, and concerns about independent self‐care after discharge.

Data Analysis

We administered the surveys, collected and managed the data using REDCap (Research Electronic Data Capture) hosted at UCLA.[26] We collected demographic data, including race, ethnicity, and insurance status retrospectively though automated chart abstraction.

We summarized descriptive characteristics by mean and standard deviation (SD) for continuous variables (except for length of stay, which was summarized by median and range) and by proportions for categorical variables. To compare demographic variables between interviewed participants and those not interviewed (not available, not approached, refused, or excluded) we used Pearson 2 tests and Fisher exact tests for categorical variables and Student t tests for the only continuous variable, age. In evaluating patient readiness for discharge, we divided patients into groups of ready and not ready as determined by interview responses, then performed Pearson 2 tests and Fisher exact tests where appropriate.

For comparing the extent of burden and relief patients endorsed upon being readmitted, we subtracted the burden score (110) from the relief score (110) for each patient, resulting in a net relief score. We then performed a 1‐sample t test to determine whether the net relief was significantly different from 0. A P value of<0.05 was considered to be statistically significant. All statistical analyses were performed using R version 3.0.2 (http://www.r-project.org; The R Foundation for Statistical Computing, Vienna, Austria).

RESULTS

Patient Characteristics

Eight hundred nineteen patients were readmitted to general medicine and cardiology services over the 7‐month study period at both institutions. Two hundred thirty‐five patients (29%) were excluded based on the predetermined exclusion criteria, and 105 patients (13%) were not approached for interview due to time constraints. Of the 479 eligible patients approached for interview, 164 patients (34%) could not be interviewed because they were unavailable, and 85 patients (18%) refused. We interviewed 230 patients (48%). We conducted 115 interviews at our academic medical center and 115 at our community affiliate. The only significant demographic difference between interviewed and not‐interviewed patients was race (P=0.004).

Interviewed patients had a mean (SD) age of 63 (SD 20) years, and 45% were male. Sixty‐three percent of interviewees were white, 21% black, 8% Asian, and 8% other. The index admission median length of stay was 4 days, and the average time between admission and readmission was 13 days (Table 1). Seventy‐nine percent of the interviews were performed directly with the patient, and 21% were conducted predominantly with the patient's caregiver.

Study Sample Characteristics (n=230)
CharacteristicValue
  • NOTA: Abbreviations: SD, standard deviation; UCLA, University of California Los Angeles.

Age, y, mean (SD)62.9 (20.2)
Female, n (%)127 (55.2)
Insurance status, n (%) 
Commercial36 (16.3)
Medi‐Cal/Medicaid31 (14.0)
Medicare123 (55.7)
Other5 (2.3)
UCLA managed care26 (11.8)
Missing9
Race, n (%) 
Asian18 (7.9)
Black or African American48 (21.1)
Other/refused19 (8.3)
White or Caucasian143 (62.7)
Missing2
Index length of stay, d, median (maximum, minimum)4 (1, 49)
Time between discharge and readmission, d, mean (SD)13 (9)
Discharge location following index admission, n (%) 
Home202 (88.2)
Skilled nursing facility3 (1.3)
Acute rehab facility17 (7.4)
Assisted living facility2 (0.9)
Other5 (2.2)
Missing1

Patient Readiness

Twenty‐eight percent of patients reported feeling unready for discharge from their index admission. Patients who felt that their readmission was preventable were significantly more likely to report feeling unready at the time of discharge compared to those who did not classify their readmission as preventable (53% vs 17%, P<0.01). Among patients who did not feel ready for discharge, over two‐thirds felt their symptoms were not adequately resolved. Conversely, among patients who did feel ready for discharge, only 8% felt their symptoms were not resolved (P<0.01). Patients who felt they were not ready for discharge were also significantly more likely to endorse poor pain control (43% vs 7%, P<0.01). The location of discharge (ie, home, rehab facility, or skilled nursing facility) and having someone to help take care of them at home did not significantly correlate with patient readiness. Over 80% of patients in both groups reported having someone to help at home, but patients who felt unready for discharge were significantly more likely to have concerns about taking care of themselves at home (54% vs 25%, P<0.001) (Table 2).

Comparing Characteristics of Patients Who Reported Feeling Ready for Discharge to Those Who Reported Feeling Not Ready for Discharge
 All Participants, n=230Ready, n=164Not Ready, n=65P Value
Symptoms were resolved enough to leave the hospital, n=227170 (74.9%)149 (92.0%)21 (32.3%)<0.01
Felt pain was under control when left the hospital, n=229190 (83.0%)153 (93.3%)37 (56.9%)<0.01
Discharged to home following index admission, n=229202 (88.2%)146 (89.6%)56 (86.2%)0.62
If discharged home, had someone at home able to help, n=202178 (88.1%)132 (90.4%)46 (82.1%)0.17
If discharged home, had concerns about being able to take of themselves at home or not being strong enough to go home, n=20267 (33.2%)37 (25.3%)30 (53.6%)<0.01
Thought something could have been done to prevent them from coming back to the hospital, n=22875 (32.9%)35 (21.6%)39 (60.0%)<0.01

Discharge Instructions

Twenty‐nine percent of patients did not recall a physician talking to them about their discharge, and 35% did not remember receiving and reviewing the discharge paperwork. Of those who read the discharge paperwork, 23% noted difficulty identifying contact phone numbers, and 22% could not locate warning symptoms indicating when to seek medical attention. Patients were able to identify medications and follow‐up appointments on the discharge paperwork a majority of the time (92% and 85%, respectively).

Ambulatory Resources and Utilization

Patients were asked about their access to outpatient resources as well as their reason(s) for returning to the hospital. Eighty‐five percent of patients reported having a primary care doctor that they would feel comfortable calling if their symptoms worsened at home. Of the patients who indicated that they were given a contact number by their discharging team, only 56% contacted a doctor before returning to the emergency room. One‐third of patients reported knowing where to obtain urgent or same‐day care besides the emergency room. Among those who did report knowledge of same‐day care centers, 89% still chose not to utilize them.

Attitudes About Readmission

To investigate the patient experience with readmissions, patients were asked to rate the extent of the burden they felt upon returning to the hospital on a scale of 1 to 10, where 1 was no burden and 10 was extreme burden. Patients were also asked to evaluate the extent of relief they felt upon readmission using the same scale. On average, patients rated their sense of relief 1.8 points higher than their sense of burden upon readmission to the hospital (7.7 [SD 2.8] vs 5.9 [SD 3.4], P<0.001). The relief of readmission was rated as equal to or greater than the burden of readmission in 79% of cases. Lastly, patients' mean (SD) overall satisfaction with their medical care was 8.5 (SD 2.0) on a scale of 1 to 10, where 1 was the least satisfied and 10 was the most satisfied a patient could imagine.

DISCUSSION

This study performs a comprehensive evaluation of the patient perspective on 30‐day readmissions. Our previous work indicated that patients associate preventable readmissions with lack of preparedness at the time of discharge.[7] This study further evaluates the basis of this association. We found that nearly 1 in 3 readmitted patients did not feel ready to leave the hospital at the time of initial discharge. Feelings of inadequate symptom resolution and poor pain control appear to be major contributors to this sentiment. Furthermore, although 88% of patients endorse having a caretaker at home, patients with concerns about taking care of themselves are more likely to feel unready at discharge. Presumably, when healthcare providers discharge patients, they believe that the patient is ready to be discharged. However, our findings suggest that often patients do not agree, highlighting a gap between the beliefs of patients and those of healthcare providers. Creating patient‐centered education on symptom management and engaging patients in developing skills for independent self‐care may minimize this gap and allow patients to feel more prepared at discharge. Future research investigating provider opinions and the steps providers take when there is a disagreement over discharge readiness would also be useful.

One way to enhance education at the time of discharge is through improvements in printed discharge instructions. Jha et al. previously showed that chart documentation of providing discharge instructions does not correlate with patients reporting receiving discharge instructions.[27] Our study echoes this finding, with only 65% of the patients remembering receiving and reviewing the discharge paperwork. Horwitz et al. have also previously demonstrated poor comprehension of discharge planning and postdischarge care among patients discharged from an academic medical center.[28] Ensuring that all patients understand and retain their discharge instructions is an essential step in improving the patient experience and potentially decreasing readmissions. Our surveys have illuminated potential shortcomings in our own center's discharge instructions. Interventions aimed at clarifying critical pieces of information on the discharge paperwork, such as warning symptoms, contact phone numbers and follow‐up appointments, could be especially helpful.

After discharge, our findings suggest that only about half of patients will call a physician before returning to the hospital. Furthermore, there is limited knowledge and poor utilization of same‐day treatment centers besides the emergency room. In previous studies, Long et al. found that frequently readmitted patients self‐triage to the emergency room because they believe primary care clinics cannot treat acute illness.[11] Another study concluded that low‐income patients prefer hospital care to ambulatory care because of a greater sense of trust in inpatient care.[29]

Our patients' attitudes about readmission may also be different from those of providers. For patients, coming back to the hospital is not a significant burden, and satisfaction with their medical care remains high despite readmission. Additional research is needed to further explore the complex emotions patients have when coming back to the hospital and why patients may not be as upset with returning to the hospital as providers may expect. Ultimately, if patients continue to feel more comfortable being hospitalized, there are few incentives for patients to stay out of the hospital, and readmission rates will remain elevated.

Based on our survey results we have hypothesized a potential framework for studying readmissions from a patient‐centered approach (Figure 1). This figure is not meant to imply causality, but rather to highlight a potential journey from discharge to readmission for a patient who does not feel ready to go home. This schema principally applies to patients who are worried about symptom management and/or self‐care before discharge and may not apply to everyone. Each asterisk in this framework represents an area where an intervention could be designed to improve the patient experience and possibly reduce readmissions. Such interventions should be centered around increasing patient education about symptom management and self‐care at the time of discharge, improving printed discharge instructions, increasing patient awareness of outpatient resources, enhancing communication after discharge, and changing patients' attitudes about readmissions.

Figure 1
A patient's hypothetical journey on the path to being readmitted. This is a potential framework for analyzing the path a patient, who has concerns at discharge, may take from discharge to readmission. Each asterisk represents an area where patient‐centered interventions could be designed to help reduce readmissions.

This study's limitations include that it is a single‐institution study focusing on patients admitted to a large academic medical center and its partner community hospital. Only English‐speaking patients were included, and thus our results may not be generalizable to other populations. All patients were interviewed at the time of readmission, potentially introducing recall bias regarding their prior discharge. For example, patients might be more likely to state they were not ready for discharge once they have been readmitted to the hospital. Lastly, because there are only a few prior studies interviewing readmitted patients, our survey instrument was not previously validated. Nevertheless, we believe this study offers a unique view on 30‐day readmissions from the patient perspective, with a focus on identifying areas for quality‐improvement interventions.

In conclusion, this study has enabled us to understand readmissions from a patient‐centered perspective. This perspective helps to challenge provider assumptions and gives much‐needed insight into the patient experience. For example, prior to surveying patients, one might assume that if a patient has a caregiver at home, they are unlikely to have concerns about taking care of themselves. We now know this is not the case. Similarly, we have discovered sections of our discharge paperwork that are confusing. Additionally, this study has revealed that patient attitudes regarding readmission can vary significantly from provider attitudes. By exploring the patient perspective and creating a new transition framework, we have identified specific target areas for interventions that would be meaningful to patients. As the nation continues to strive to identify sustainable solutions to reduce readmissions, the way to redesign care must always start and end with the patient.

Acknowledgements

The authors acknowledge Puneet Rana, James Haggerty‐Skeans, Jae Kim, Rhea Mathew, and Anna Do (UCLA volunteers) for helping to perform the patient interviews. We acknowledge Sandy Berry, MA (Senior Behavioral Scientist at RAND Corporation) for her help in reviewing our patient interview script. Additionally Anna Dermenchyan, RN, BSN (Senior Clinical Quality Specialist in the Department of Medicine at UCLA) provided significant administrative support.

Disclosures: This project was supported by a Patient Experience Grant from the Beryl Institute awarded to Jessica Howard‐Anderson, Sarah Lonowski, Ashley Busuttil, and Nasim Afsar‐manesh. Dr. Howard‐Anderson had full access to all of the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis. All coauthors have seen and agree with the contents of the article. The article is not under review by any other publication. An earlier version of this work was written as a research report (not peer reviewed) for the Beryl Institute (available at: http://www.theberylinstitute.org/?page=grantprogram). A portion of this work was presented at the Society for Hospital Medicine Annual Meeting in Washington, DC, on March 30, 2015.

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References
  1. Axon RN, Coleman EA. What will it take to move the needle on hospital readmissions? Am J Med Qual. 2013;29(4):357359.
  2. Gerhardt G, Yemane A, Hickman P, Oelschlaeger A, Rollins E, Brennan N. Medicare readmission rates showed meaningful decline in 2012. Medicare Medicaid Res Rev. 2013;3(2):E1E12.
  3. Hansen LO, Young RS, Hinami K, Leung A, Williams MV. Interventions to reduce 30‐day rehospitalization: a systematic review. Ann Intern Med. 2011;155(8):520528.
  4. Leppin AL, Gionfriddo MR, Kessler M, et al. Preventing 30‐day hospital readmissions: a systematic review and meta‐analysis of randomized trials. JAMA Intern Med. 2014;174(7):10951107.
  5. Hernandez AF, Greiner MA, Fonarow GC, et al. Relationship between early physician follow‐up and 30‐day readmission among Medicare beneficiaries hospitalized for heart failure. JAMA. 2010;303(17):17161722.
  6. Amarasingham R, Patel PC, Toto K, et al. Allocating scarce resources in real‐time to reduce heart failure readmissions: a prospective, controlled study. BMJ Qual Saf. 2013;22(12):9981005.
  7. Howard‐Anderson J, Lonowski S, Vangala S, Tseng CH, Busuttil A, Afsar‐Manesh N. Readmissions in the era of patient engagement. JAMA Intern Med. 2014;174(11):18701872.
  8. Ahmad FS, Barg FK, Bowles KH, et al. Comparing perspectives of patients, caregivers, and clinicians on heart failure management [published online October 23, 2015]. J Card Fail. doi: 10.1016/j.cardfail.2015.10.011.
  9. Coleman EA, Parry C, Chalmers S, Min SJ. The care transitions intervention: results of a randomized controlled trial. Arch Intern Med. 2006;166(17):18221828.
  10. Strunin L, Stone M, Jack B. Understanding rehospitalization risk: can hospital discharge be modified to reduce recurrent hospitalization? J Hosp Med. 2007;2(5):297304.
  11. Long T, Genao I, Horwitz LI. Reasons for readmission in an underserved high‐risk population: a qualitative analysis of a series of inpatient interviews. BMJ Open. 2013;3(9):e003212.
  12. Cawthon C, Walia S, Osborn CY, Niesner KJ, Schnipper JL, Kripalani S. Improving care transitions: the patient perspective. J Health Commun. 2012;17(suppl 3):312324.
  13. Kangovi S, Barg FK, Carter T, et al. Challenges faced by patients with low socioeconomic status during the post‐hospital transition. J Gen Intern Med. 2014;29(2):283289.
  14. Greysen SR, Hoi‐Cheung D, Garcia V, et al. “Missing pieces”—functional, social, and environmental barriers to recovery for vulnerable older adults transitioning from hospital to home. J Am Geriatr Soc. 2014;62(8):15561561.
  15. Kangovi S, Grande D, Meehan P, Mitra N, Shannon R, Long JA. Perceptions of readmitted patients on the transition from hospital to home. J Hosp Med. 2012;7(9):709712.
  16. Feigenbaum P, Neuwirth E, Trowbridge L, et al. Factors contributing to all‐cause 30‐day readmissions: a structured case series across 18 hospitals. Med Care. 2012;50(7):599605.
  17. Annema C, Luttik ML, Jaarsma T. Reasons for readmission in heart failure: perspectives of patients, caregivers, cardiologists, and heart failure nurses. Heart Lung. 2009;38(5):427434.
  18. Retrum JH, Boggs J, Hersh A, et al. Patient‐identified factors related to heart failure readmissions. Circ Cardiovasc Qual Outcomes. 2013;6(2):171177.
  19. Rubin DJ, Donnell‐Jackson K, Jhingan R, Golden SH, Paranjape A. Early readmission among patients with diabetes: a qualitative assessment of contributing factors. J Diabetes Complications. 2014;28(6):869873.
  20. Enguidanos S, Coulourides Kogan AM, Schreibeis‐Baum H, Lendon J, Lorenz K. “Because I was sick”: seriously ill veterans' perspectives on reason for 30‐day readmissions. J Am Geriatr Soc. 2015;63(3):537542.
  21. Stewart M, Brown JB, Donner A, et al. The impact of patient‐centered care on outcomes. J Fam Pract. 2000;49(9):796804.
  22. Epstein RM, Franks P, Shields CG, et al. Patient‐centered communication and diagnostic testing. Ann Fam Med. 2005;3(5):415421.
  23. Zolnierek KB, Dimatteo MR. Physician communication and patient adherence to treatment: a meta‐analysis. Med Care. 2009;47(8):826834.
  24. Schillinger D, Piette J, Grumbach K, et al. Closing the loop: physician communication with diabetic patients who have low health literacy. Arch Intern Med. 2003;163(1):8390.
  25. Greenfield S, Kaplan SH, Ware JE, Yano EM, Frank HJ. Patients' participation in medical care: effects on blood sugar control and quality of life in diabetes. J Gen Intern Med. 1988;3(5):448457.
  26. Harris PA, Taylor R, Thielke R, Payne J, Gonzalez N, Conde JG. Research electronic data capture (REDCap)—a metadata‐driven methodology and workflow process for providing translational research informatics support. J Biomed Inform. 2009;42(2):377381.
  27. Jha AK, Orav EJ, Epstein AM. Public reporting of discharge planning and rates of readmissions. N Engl J Med. 2009;361(27):26372645.
  28. Horwitz LI, Moriarty JP, Chen C, et al. Quality of discharge practices and patient understanding at an academic medical center. JAMA Intern Med. 2013;173(18):17151722
  29. Kangovi S, Barg FK, Carter T, Long JA, Shannon R, Grande D. Understanding why patients of low socioeconomic status prefer hospitals over ambulatory care. Health Aff (Millwood). 2013;32(7):11961203.
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Years into the national discourse on reducing readmissions, hospitals and providers are still struggling with how to sustainably reduce 30‐day readmissions.[1] All‐cause hospital readmission rates for Medicare benificiaries averaged 19% from 2007 through 2011 and showed only a modest improvement to 18.4% in 2012.[2] A review of 43 studies in 2011 concluded that no single intervention was reliably associated with reducing readmission rates.[3] However, although no institution has found a magic bullet for reducing readmissions, progress has been made. A 2014 meta‐analysis of randomized trials aimed at preventing 30‐day readmissions found that overall readmission interventions are effective, and that the most successful interventions are more complex in nature and focus on empowering patients to engage in self‐care after discharge.[4] Readmission reduction efforts for patients with specific diagnoses have also made gains. Among patients with heart failure, for instance, higher rates of early outpatient follow‐up and care‐transition interventions for high‐risk patients have been shown to reduce 30‐day readmissions.[5, 6]

An emerging, yet still underexplored, area in readmissions is the importance of evaluating patient perspectives. The patient has intimate knowledge of the circumstances surrounding their readmission and can be a valuable resource. This is particularly true given evidence that patient perspectives do not always align with those of providers.[7, 8] Coleman's Care Transitions Intervention was one of the earliest care‐transition models demonstrating value in engaging patients to become actively involved in their care.[9] Since then, others have begun to analyze transitions of care from the patient perspective, identifying patient‐reported needs in anticipation of discharge and after they are home.[10, 11, 12, 13, 14] However, still only a few studies have endeavored to gain a thorough understanding of the readmitted patient perspective.[7, 15, 16] These studies have already identified important issues such as lack of patient readiness for discharge and the need for additional advanced care planning and caregiver resources. A few smaller studies have interviewed readmitted patients with specific diagnoses and have also shed light on disease‐specific issues.[17, 18, 19, 20] Outside the field of readmissions, improving patient‐centered communication has been shown to reduce expenditures on diagnostic tests,[21, 22] increase adherence to treatment,[23] and improve health outcomes.[24, 25] It is time for us to incorporate the patient voice into all areas of care.

In 2014, our group published the results of a study aimed at understanding the patient perspective surrounding readmissions. In this study, 27% of patients believed their readmission could have been prevented. This opinion was associated with not feeling ready for discharge, not having a follow‐up appointment scheduled, and poor satisfaction with the discharging team.[7] A key observation in these initial interviews was that patients often expressed sentiments of relief rather than frustration when they returned to the hospital. With the results of this previous study in mind, we designed a more comprehensive evaluation to investigate why patients felt unprepared for discharge, explore reasons for and attitudes surrounding readmissions, and identify patient‐centered interventions that could prevent future readmissions.

METHODS

Study Design and Recruitment

We designed the study as an in‐person survey of readmitted patients. Over a 7‐month period (February 11, 2014September 8, 2014), we identified all patients readmitted within 30 days to general medicine and cardiology services through daily queries from the electronic health record. The study took place in a 540‐bed tertiary academic medical center, as well as a 266‐bed affiliated community hospital. We reviewed the discharge summary from the index admission and the history and physical documentation from the readmission for exclusion criteria. Patients were excluded if they were: (1) readmitted to the intensive care unit, (2) had a planned readmission, (3) received an organ transplant in the preceding 3 months, (4) did not speak English, or (5) had a physical or mental incapacity preventing interview and no family member or caregiver was available to interview.

Patient Interviews

Five trained study volunteers approached all eligible patients for an interview starting the day after the patient was readmitted. Prior to the start of the interview, we obtained verbal consent from all patients. Interviews typically lasted 10 to 30 minutes in the patient's hospital room. Caregivers and/or family members were allowed to respond to interview questions if the patient granted them permission or if the patient was unable to participate. The interviewers were not part of the patient's medical team and the patients could refuse the interview at any time. According to the University of California Los Angeles (UCLA) Institutional Review Board, this work met criteria for quality‐improvement activities and was deemed to be exempt.

The survey was comprised of 24 questions addressing causes, preventability, and attitudes toward readmissions, readiness for discharge, quality of the discharge process, outpatient resources, and follow‐up care (see Supporting Information in the online version of this article). These areas of focus were chosen based on a pilot study of 98 patient interviews in which these topics emerged as worthy of further investigation.[7] With regard to patient readiness for discharge, we investigated correlations between patient readiness and symptom resolution, pain control, discharge location, level of support at home, and concerns about independent self‐care after discharge.

Data Analysis

We administered the surveys, collected and managed the data using REDCap (Research Electronic Data Capture) hosted at UCLA.[26] We collected demographic data, including race, ethnicity, and insurance status retrospectively though automated chart abstraction.

We summarized descriptive characteristics by mean and standard deviation (SD) for continuous variables (except for length of stay, which was summarized by median and range) and by proportions for categorical variables. To compare demographic variables between interviewed participants and those not interviewed (not available, not approached, refused, or excluded) we used Pearson 2 tests and Fisher exact tests for categorical variables and Student t tests for the only continuous variable, age. In evaluating patient readiness for discharge, we divided patients into groups of ready and not ready as determined by interview responses, then performed Pearson 2 tests and Fisher exact tests where appropriate.

For comparing the extent of burden and relief patients endorsed upon being readmitted, we subtracted the burden score (110) from the relief score (110) for each patient, resulting in a net relief score. We then performed a 1‐sample t test to determine whether the net relief was significantly different from 0. A P value of<0.05 was considered to be statistically significant. All statistical analyses were performed using R version 3.0.2 (http://www.r-project.org; The R Foundation for Statistical Computing, Vienna, Austria).

RESULTS

Patient Characteristics

Eight hundred nineteen patients were readmitted to general medicine and cardiology services over the 7‐month study period at both institutions. Two hundred thirty‐five patients (29%) were excluded based on the predetermined exclusion criteria, and 105 patients (13%) were not approached for interview due to time constraints. Of the 479 eligible patients approached for interview, 164 patients (34%) could not be interviewed because they were unavailable, and 85 patients (18%) refused. We interviewed 230 patients (48%). We conducted 115 interviews at our academic medical center and 115 at our community affiliate. The only significant demographic difference between interviewed and not‐interviewed patients was race (P=0.004).

Interviewed patients had a mean (SD) age of 63 (SD 20) years, and 45% were male. Sixty‐three percent of interviewees were white, 21% black, 8% Asian, and 8% other. The index admission median length of stay was 4 days, and the average time between admission and readmission was 13 days (Table 1). Seventy‐nine percent of the interviews were performed directly with the patient, and 21% were conducted predominantly with the patient's caregiver.

Study Sample Characteristics (n=230)
CharacteristicValue
  • NOTA: Abbreviations: SD, standard deviation; UCLA, University of California Los Angeles.

Age, y, mean (SD)62.9 (20.2)
Female, n (%)127 (55.2)
Insurance status, n (%) 
Commercial36 (16.3)
Medi‐Cal/Medicaid31 (14.0)
Medicare123 (55.7)
Other5 (2.3)
UCLA managed care26 (11.8)
Missing9
Race, n (%) 
Asian18 (7.9)
Black or African American48 (21.1)
Other/refused19 (8.3)
White or Caucasian143 (62.7)
Missing2
Index length of stay, d, median (maximum, minimum)4 (1, 49)
Time between discharge and readmission, d, mean (SD)13 (9)
Discharge location following index admission, n (%) 
Home202 (88.2)
Skilled nursing facility3 (1.3)
Acute rehab facility17 (7.4)
Assisted living facility2 (0.9)
Other5 (2.2)
Missing1

Patient Readiness

Twenty‐eight percent of patients reported feeling unready for discharge from their index admission. Patients who felt that their readmission was preventable were significantly more likely to report feeling unready at the time of discharge compared to those who did not classify their readmission as preventable (53% vs 17%, P<0.01). Among patients who did not feel ready for discharge, over two‐thirds felt their symptoms were not adequately resolved. Conversely, among patients who did feel ready for discharge, only 8% felt their symptoms were not resolved (P<0.01). Patients who felt they were not ready for discharge were also significantly more likely to endorse poor pain control (43% vs 7%, P<0.01). The location of discharge (ie, home, rehab facility, or skilled nursing facility) and having someone to help take care of them at home did not significantly correlate with patient readiness. Over 80% of patients in both groups reported having someone to help at home, but patients who felt unready for discharge were significantly more likely to have concerns about taking care of themselves at home (54% vs 25%, P<0.001) (Table 2).

Comparing Characteristics of Patients Who Reported Feeling Ready for Discharge to Those Who Reported Feeling Not Ready for Discharge
 All Participants, n=230Ready, n=164Not Ready, n=65P Value
Symptoms were resolved enough to leave the hospital, n=227170 (74.9%)149 (92.0%)21 (32.3%)<0.01
Felt pain was under control when left the hospital, n=229190 (83.0%)153 (93.3%)37 (56.9%)<0.01
Discharged to home following index admission, n=229202 (88.2%)146 (89.6%)56 (86.2%)0.62
If discharged home, had someone at home able to help, n=202178 (88.1%)132 (90.4%)46 (82.1%)0.17
If discharged home, had concerns about being able to take of themselves at home or not being strong enough to go home, n=20267 (33.2%)37 (25.3%)30 (53.6%)<0.01
Thought something could have been done to prevent them from coming back to the hospital, n=22875 (32.9%)35 (21.6%)39 (60.0%)<0.01

Discharge Instructions

Twenty‐nine percent of patients did not recall a physician talking to them about their discharge, and 35% did not remember receiving and reviewing the discharge paperwork. Of those who read the discharge paperwork, 23% noted difficulty identifying contact phone numbers, and 22% could not locate warning symptoms indicating when to seek medical attention. Patients were able to identify medications and follow‐up appointments on the discharge paperwork a majority of the time (92% and 85%, respectively).

Ambulatory Resources and Utilization

Patients were asked about their access to outpatient resources as well as their reason(s) for returning to the hospital. Eighty‐five percent of patients reported having a primary care doctor that they would feel comfortable calling if their symptoms worsened at home. Of the patients who indicated that they were given a contact number by their discharging team, only 56% contacted a doctor before returning to the emergency room. One‐third of patients reported knowing where to obtain urgent or same‐day care besides the emergency room. Among those who did report knowledge of same‐day care centers, 89% still chose not to utilize them.

Attitudes About Readmission

To investigate the patient experience with readmissions, patients were asked to rate the extent of the burden they felt upon returning to the hospital on a scale of 1 to 10, where 1 was no burden and 10 was extreme burden. Patients were also asked to evaluate the extent of relief they felt upon readmission using the same scale. On average, patients rated their sense of relief 1.8 points higher than their sense of burden upon readmission to the hospital (7.7 [SD 2.8] vs 5.9 [SD 3.4], P<0.001). The relief of readmission was rated as equal to or greater than the burden of readmission in 79% of cases. Lastly, patients' mean (SD) overall satisfaction with their medical care was 8.5 (SD 2.0) on a scale of 1 to 10, where 1 was the least satisfied and 10 was the most satisfied a patient could imagine.

DISCUSSION

This study performs a comprehensive evaluation of the patient perspective on 30‐day readmissions. Our previous work indicated that patients associate preventable readmissions with lack of preparedness at the time of discharge.[7] This study further evaluates the basis of this association. We found that nearly 1 in 3 readmitted patients did not feel ready to leave the hospital at the time of initial discharge. Feelings of inadequate symptom resolution and poor pain control appear to be major contributors to this sentiment. Furthermore, although 88% of patients endorse having a caretaker at home, patients with concerns about taking care of themselves are more likely to feel unready at discharge. Presumably, when healthcare providers discharge patients, they believe that the patient is ready to be discharged. However, our findings suggest that often patients do not agree, highlighting a gap between the beliefs of patients and those of healthcare providers. Creating patient‐centered education on symptom management and engaging patients in developing skills for independent self‐care may minimize this gap and allow patients to feel more prepared at discharge. Future research investigating provider opinions and the steps providers take when there is a disagreement over discharge readiness would also be useful.

One way to enhance education at the time of discharge is through improvements in printed discharge instructions. Jha et al. previously showed that chart documentation of providing discharge instructions does not correlate with patients reporting receiving discharge instructions.[27] Our study echoes this finding, with only 65% of the patients remembering receiving and reviewing the discharge paperwork. Horwitz et al. have also previously demonstrated poor comprehension of discharge planning and postdischarge care among patients discharged from an academic medical center.[28] Ensuring that all patients understand and retain their discharge instructions is an essential step in improving the patient experience and potentially decreasing readmissions. Our surveys have illuminated potential shortcomings in our own center's discharge instructions. Interventions aimed at clarifying critical pieces of information on the discharge paperwork, such as warning symptoms, contact phone numbers and follow‐up appointments, could be especially helpful.

After discharge, our findings suggest that only about half of patients will call a physician before returning to the hospital. Furthermore, there is limited knowledge and poor utilization of same‐day treatment centers besides the emergency room. In previous studies, Long et al. found that frequently readmitted patients self‐triage to the emergency room because they believe primary care clinics cannot treat acute illness.[11] Another study concluded that low‐income patients prefer hospital care to ambulatory care because of a greater sense of trust in inpatient care.[29]

Our patients' attitudes about readmission may also be different from those of providers. For patients, coming back to the hospital is not a significant burden, and satisfaction with their medical care remains high despite readmission. Additional research is needed to further explore the complex emotions patients have when coming back to the hospital and why patients may not be as upset with returning to the hospital as providers may expect. Ultimately, if patients continue to feel more comfortable being hospitalized, there are few incentives for patients to stay out of the hospital, and readmission rates will remain elevated.

Based on our survey results we have hypothesized a potential framework for studying readmissions from a patient‐centered approach (Figure 1). This figure is not meant to imply causality, but rather to highlight a potential journey from discharge to readmission for a patient who does not feel ready to go home. This schema principally applies to patients who are worried about symptom management and/or self‐care before discharge and may not apply to everyone. Each asterisk in this framework represents an area where an intervention could be designed to improve the patient experience and possibly reduce readmissions. Such interventions should be centered around increasing patient education about symptom management and self‐care at the time of discharge, improving printed discharge instructions, increasing patient awareness of outpatient resources, enhancing communication after discharge, and changing patients' attitudes about readmissions.

Figure 1
A patient's hypothetical journey on the path to being readmitted. This is a potential framework for analyzing the path a patient, who has concerns at discharge, may take from discharge to readmission. Each asterisk represents an area where patient‐centered interventions could be designed to help reduce readmissions.

This study's limitations include that it is a single‐institution study focusing on patients admitted to a large academic medical center and its partner community hospital. Only English‐speaking patients were included, and thus our results may not be generalizable to other populations. All patients were interviewed at the time of readmission, potentially introducing recall bias regarding their prior discharge. For example, patients might be more likely to state they were not ready for discharge once they have been readmitted to the hospital. Lastly, because there are only a few prior studies interviewing readmitted patients, our survey instrument was not previously validated. Nevertheless, we believe this study offers a unique view on 30‐day readmissions from the patient perspective, with a focus on identifying areas for quality‐improvement interventions.

In conclusion, this study has enabled us to understand readmissions from a patient‐centered perspective. This perspective helps to challenge provider assumptions and gives much‐needed insight into the patient experience. For example, prior to surveying patients, one might assume that if a patient has a caregiver at home, they are unlikely to have concerns about taking care of themselves. We now know this is not the case. Similarly, we have discovered sections of our discharge paperwork that are confusing. Additionally, this study has revealed that patient attitudes regarding readmission can vary significantly from provider attitudes. By exploring the patient perspective and creating a new transition framework, we have identified specific target areas for interventions that would be meaningful to patients. As the nation continues to strive to identify sustainable solutions to reduce readmissions, the way to redesign care must always start and end with the patient.

Acknowledgements

The authors acknowledge Puneet Rana, James Haggerty‐Skeans, Jae Kim, Rhea Mathew, and Anna Do (UCLA volunteers) for helping to perform the patient interviews. We acknowledge Sandy Berry, MA (Senior Behavioral Scientist at RAND Corporation) for her help in reviewing our patient interview script. Additionally Anna Dermenchyan, RN, BSN (Senior Clinical Quality Specialist in the Department of Medicine at UCLA) provided significant administrative support.

Disclosures: This project was supported by a Patient Experience Grant from the Beryl Institute awarded to Jessica Howard‐Anderson, Sarah Lonowski, Ashley Busuttil, and Nasim Afsar‐manesh. Dr. Howard‐Anderson had full access to all of the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis. All coauthors have seen and agree with the contents of the article. The article is not under review by any other publication. An earlier version of this work was written as a research report (not peer reviewed) for the Beryl Institute (available at: http://www.theberylinstitute.org/?page=grantprogram). A portion of this work was presented at the Society for Hospital Medicine Annual Meeting in Washington, DC, on March 30, 2015.

Years into the national discourse on reducing readmissions, hospitals and providers are still struggling with how to sustainably reduce 30‐day readmissions.[1] All‐cause hospital readmission rates for Medicare benificiaries averaged 19% from 2007 through 2011 and showed only a modest improvement to 18.4% in 2012.[2] A review of 43 studies in 2011 concluded that no single intervention was reliably associated with reducing readmission rates.[3] However, although no institution has found a magic bullet for reducing readmissions, progress has been made. A 2014 meta‐analysis of randomized trials aimed at preventing 30‐day readmissions found that overall readmission interventions are effective, and that the most successful interventions are more complex in nature and focus on empowering patients to engage in self‐care after discharge.[4] Readmission reduction efforts for patients with specific diagnoses have also made gains. Among patients with heart failure, for instance, higher rates of early outpatient follow‐up and care‐transition interventions for high‐risk patients have been shown to reduce 30‐day readmissions.[5, 6]

An emerging, yet still underexplored, area in readmissions is the importance of evaluating patient perspectives. The patient has intimate knowledge of the circumstances surrounding their readmission and can be a valuable resource. This is particularly true given evidence that patient perspectives do not always align with those of providers.[7, 8] Coleman's Care Transitions Intervention was one of the earliest care‐transition models demonstrating value in engaging patients to become actively involved in their care.[9] Since then, others have begun to analyze transitions of care from the patient perspective, identifying patient‐reported needs in anticipation of discharge and after they are home.[10, 11, 12, 13, 14] However, still only a few studies have endeavored to gain a thorough understanding of the readmitted patient perspective.[7, 15, 16] These studies have already identified important issues such as lack of patient readiness for discharge and the need for additional advanced care planning and caregiver resources. A few smaller studies have interviewed readmitted patients with specific diagnoses and have also shed light on disease‐specific issues.[17, 18, 19, 20] Outside the field of readmissions, improving patient‐centered communication has been shown to reduce expenditures on diagnostic tests,[21, 22] increase adherence to treatment,[23] and improve health outcomes.[24, 25] It is time for us to incorporate the patient voice into all areas of care.

In 2014, our group published the results of a study aimed at understanding the patient perspective surrounding readmissions. In this study, 27% of patients believed their readmission could have been prevented. This opinion was associated with not feeling ready for discharge, not having a follow‐up appointment scheduled, and poor satisfaction with the discharging team.[7] A key observation in these initial interviews was that patients often expressed sentiments of relief rather than frustration when they returned to the hospital. With the results of this previous study in mind, we designed a more comprehensive evaluation to investigate why patients felt unprepared for discharge, explore reasons for and attitudes surrounding readmissions, and identify patient‐centered interventions that could prevent future readmissions.

METHODS

Study Design and Recruitment

We designed the study as an in‐person survey of readmitted patients. Over a 7‐month period (February 11, 2014September 8, 2014), we identified all patients readmitted within 30 days to general medicine and cardiology services through daily queries from the electronic health record. The study took place in a 540‐bed tertiary academic medical center, as well as a 266‐bed affiliated community hospital. We reviewed the discharge summary from the index admission and the history and physical documentation from the readmission for exclusion criteria. Patients were excluded if they were: (1) readmitted to the intensive care unit, (2) had a planned readmission, (3) received an organ transplant in the preceding 3 months, (4) did not speak English, or (5) had a physical or mental incapacity preventing interview and no family member or caregiver was available to interview.

Patient Interviews

Five trained study volunteers approached all eligible patients for an interview starting the day after the patient was readmitted. Prior to the start of the interview, we obtained verbal consent from all patients. Interviews typically lasted 10 to 30 minutes in the patient's hospital room. Caregivers and/or family members were allowed to respond to interview questions if the patient granted them permission or if the patient was unable to participate. The interviewers were not part of the patient's medical team and the patients could refuse the interview at any time. According to the University of California Los Angeles (UCLA) Institutional Review Board, this work met criteria for quality‐improvement activities and was deemed to be exempt.

The survey was comprised of 24 questions addressing causes, preventability, and attitudes toward readmissions, readiness for discharge, quality of the discharge process, outpatient resources, and follow‐up care (see Supporting Information in the online version of this article). These areas of focus were chosen based on a pilot study of 98 patient interviews in which these topics emerged as worthy of further investigation.[7] With regard to patient readiness for discharge, we investigated correlations between patient readiness and symptom resolution, pain control, discharge location, level of support at home, and concerns about independent self‐care after discharge.

Data Analysis

We administered the surveys, collected and managed the data using REDCap (Research Electronic Data Capture) hosted at UCLA.[26] We collected demographic data, including race, ethnicity, and insurance status retrospectively though automated chart abstraction.

We summarized descriptive characteristics by mean and standard deviation (SD) for continuous variables (except for length of stay, which was summarized by median and range) and by proportions for categorical variables. To compare demographic variables between interviewed participants and those not interviewed (not available, not approached, refused, or excluded) we used Pearson 2 tests and Fisher exact tests for categorical variables and Student t tests for the only continuous variable, age. In evaluating patient readiness for discharge, we divided patients into groups of ready and not ready as determined by interview responses, then performed Pearson 2 tests and Fisher exact tests where appropriate.

For comparing the extent of burden and relief patients endorsed upon being readmitted, we subtracted the burden score (110) from the relief score (110) for each patient, resulting in a net relief score. We then performed a 1‐sample t test to determine whether the net relief was significantly different from 0. A P value of<0.05 was considered to be statistically significant. All statistical analyses were performed using R version 3.0.2 (http://www.r-project.org; The R Foundation for Statistical Computing, Vienna, Austria).

RESULTS

Patient Characteristics

Eight hundred nineteen patients were readmitted to general medicine and cardiology services over the 7‐month study period at both institutions. Two hundred thirty‐five patients (29%) were excluded based on the predetermined exclusion criteria, and 105 patients (13%) were not approached for interview due to time constraints. Of the 479 eligible patients approached for interview, 164 patients (34%) could not be interviewed because they were unavailable, and 85 patients (18%) refused. We interviewed 230 patients (48%). We conducted 115 interviews at our academic medical center and 115 at our community affiliate. The only significant demographic difference between interviewed and not‐interviewed patients was race (P=0.004).

Interviewed patients had a mean (SD) age of 63 (SD 20) years, and 45% were male. Sixty‐three percent of interviewees were white, 21% black, 8% Asian, and 8% other. The index admission median length of stay was 4 days, and the average time between admission and readmission was 13 days (Table 1). Seventy‐nine percent of the interviews were performed directly with the patient, and 21% were conducted predominantly with the patient's caregiver.

Study Sample Characteristics (n=230)
CharacteristicValue
  • NOTA: Abbreviations: SD, standard deviation; UCLA, University of California Los Angeles.

Age, y, mean (SD)62.9 (20.2)
Female, n (%)127 (55.2)
Insurance status, n (%) 
Commercial36 (16.3)
Medi‐Cal/Medicaid31 (14.0)
Medicare123 (55.7)
Other5 (2.3)
UCLA managed care26 (11.8)
Missing9
Race, n (%) 
Asian18 (7.9)
Black or African American48 (21.1)
Other/refused19 (8.3)
White or Caucasian143 (62.7)
Missing2
Index length of stay, d, median (maximum, minimum)4 (1, 49)
Time between discharge and readmission, d, mean (SD)13 (9)
Discharge location following index admission, n (%) 
Home202 (88.2)
Skilled nursing facility3 (1.3)
Acute rehab facility17 (7.4)
Assisted living facility2 (0.9)
Other5 (2.2)
Missing1

Patient Readiness

Twenty‐eight percent of patients reported feeling unready for discharge from their index admission. Patients who felt that their readmission was preventable were significantly more likely to report feeling unready at the time of discharge compared to those who did not classify their readmission as preventable (53% vs 17%, P<0.01). Among patients who did not feel ready for discharge, over two‐thirds felt their symptoms were not adequately resolved. Conversely, among patients who did feel ready for discharge, only 8% felt their symptoms were not resolved (P<0.01). Patients who felt they were not ready for discharge were also significantly more likely to endorse poor pain control (43% vs 7%, P<0.01). The location of discharge (ie, home, rehab facility, or skilled nursing facility) and having someone to help take care of them at home did not significantly correlate with patient readiness. Over 80% of patients in both groups reported having someone to help at home, but patients who felt unready for discharge were significantly more likely to have concerns about taking care of themselves at home (54% vs 25%, P<0.001) (Table 2).

Comparing Characteristics of Patients Who Reported Feeling Ready for Discharge to Those Who Reported Feeling Not Ready for Discharge
 All Participants, n=230Ready, n=164Not Ready, n=65P Value
Symptoms were resolved enough to leave the hospital, n=227170 (74.9%)149 (92.0%)21 (32.3%)<0.01
Felt pain was under control when left the hospital, n=229190 (83.0%)153 (93.3%)37 (56.9%)<0.01
Discharged to home following index admission, n=229202 (88.2%)146 (89.6%)56 (86.2%)0.62
If discharged home, had someone at home able to help, n=202178 (88.1%)132 (90.4%)46 (82.1%)0.17
If discharged home, had concerns about being able to take of themselves at home or not being strong enough to go home, n=20267 (33.2%)37 (25.3%)30 (53.6%)<0.01
Thought something could have been done to prevent them from coming back to the hospital, n=22875 (32.9%)35 (21.6%)39 (60.0%)<0.01

Discharge Instructions

Twenty‐nine percent of patients did not recall a physician talking to them about their discharge, and 35% did not remember receiving and reviewing the discharge paperwork. Of those who read the discharge paperwork, 23% noted difficulty identifying contact phone numbers, and 22% could not locate warning symptoms indicating when to seek medical attention. Patients were able to identify medications and follow‐up appointments on the discharge paperwork a majority of the time (92% and 85%, respectively).

Ambulatory Resources and Utilization

Patients were asked about their access to outpatient resources as well as their reason(s) for returning to the hospital. Eighty‐five percent of patients reported having a primary care doctor that they would feel comfortable calling if their symptoms worsened at home. Of the patients who indicated that they were given a contact number by their discharging team, only 56% contacted a doctor before returning to the emergency room. One‐third of patients reported knowing where to obtain urgent or same‐day care besides the emergency room. Among those who did report knowledge of same‐day care centers, 89% still chose not to utilize them.

Attitudes About Readmission

To investigate the patient experience with readmissions, patients were asked to rate the extent of the burden they felt upon returning to the hospital on a scale of 1 to 10, where 1 was no burden and 10 was extreme burden. Patients were also asked to evaluate the extent of relief they felt upon readmission using the same scale. On average, patients rated their sense of relief 1.8 points higher than their sense of burden upon readmission to the hospital (7.7 [SD 2.8] vs 5.9 [SD 3.4], P<0.001). The relief of readmission was rated as equal to or greater than the burden of readmission in 79% of cases. Lastly, patients' mean (SD) overall satisfaction with their medical care was 8.5 (SD 2.0) on a scale of 1 to 10, where 1 was the least satisfied and 10 was the most satisfied a patient could imagine.

DISCUSSION

This study performs a comprehensive evaluation of the patient perspective on 30‐day readmissions. Our previous work indicated that patients associate preventable readmissions with lack of preparedness at the time of discharge.[7] This study further evaluates the basis of this association. We found that nearly 1 in 3 readmitted patients did not feel ready to leave the hospital at the time of initial discharge. Feelings of inadequate symptom resolution and poor pain control appear to be major contributors to this sentiment. Furthermore, although 88% of patients endorse having a caretaker at home, patients with concerns about taking care of themselves are more likely to feel unready at discharge. Presumably, when healthcare providers discharge patients, they believe that the patient is ready to be discharged. However, our findings suggest that often patients do not agree, highlighting a gap between the beliefs of patients and those of healthcare providers. Creating patient‐centered education on symptom management and engaging patients in developing skills for independent self‐care may minimize this gap and allow patients to feel more prepared at discharge. Future research investigating provider opinions and the steps providers take when there is a disagreement over discharge readiness would also be useful.

One way to enhance education at the time of discharge is through improvements in printed discharge instructions. Jha et al. previously showed that chart documentation of providing discharge instructions does not correlate with patients reporting receiving discharge instructions.[27] Our study echoes this finding, with only 65% of the patients remembering receiving and reviewing the discharge paperwork. Horwitz et al. have also previously demonstrated poor comprehension of discharge planning and postdischarge care among patients discharged from an academic medical center.[28] Ensuring that all patients understand and retain their discharge instructions is an essential step in improving the patient experience and potentially decreasing readmissions. Our surveys have illuminated potential shortcomings in our own center's discharge instructions. Interventions aimed at clarifying critical pieces of information on the discharge paperwork, such as warning symptoms, contact phone numbers and follow‐up appointments, could be especially helpful.

After discharge, our findings suggest that only about half of patients will call a physician before returning to the hospital. Furthermore, there is limited knowledge and poor utilization of same‐day treatment centers besides the emergency room. In previous studies, Long et al. found that frequently readmitted patients self‐triage to the emergency room because they believe primary care clinics cannot treat acute illness.[11] Another study concluded that low‐income patients prefer hospital care to ambulatory care because of a greater sense of trust in inpatient care.[29]

Our patients' attitudes about readmission may also be different from those of providers. For patients, coming back to the hospital is not a significant burden, and satisfaction with their medical care remains high despite readmission. Additional research is needed to further explore the complex emotions patients have when coming back to the hospital and why patients may not be as upset with returning to the hospital as providers may expect. Ultimately, if patients continue to feel more comfortable being hospitalized, there are few incentives for patients to stay out of the hospital, and readmission rates will remain elevated.

Based on our survey results we have hypothesized a potential framework for studying readmissions from a patient‐centered approach (Figure 1). This figure is not meant to imply causality, but rather to highlight a potential journey from discharge to readmission for a patient who does not feel ready to go home. This schema principally applies to patients who are worried about symptom management and/or self‐care before discharge and may not apply to everyone. Each asterisk in this framework represents an area where an intervention could be designed to improve the patient experience and possibly reduce readmissions. Such interventions should be centered around increasing patient education about symptom management and self‐care at the time of discharge, improving printed discharge instructions, increasing patient awareness of outpatient resources, enhancing communication after discharge, and changing patients' attitudes about readmissions.

Figure 1
A patient's hypothetical journey on the path to being readmitted. This is a potential framework for analyzing the path a patient, who has concerns at discharge, may take from discharge to readmission. Each asterisk represents an area where patient‐centered interventions could be designed to help reduce readmissions.

This study's limitations include that it is a single‐institution study focusing on patients admitted to a large academic medical center and its partner community hospital. Only English‐speaking patients were included, and thus our results may not be generalizable to other populations. All patients were interviewed at the time of readmission, potentially introducing recall bias regarding their prior discharge. For example, patients might be more likely to state they were not ready for discharge once they have been readmitted to the hospital. Lastly, because there are only a few prior studies interviewing readmitted patients, our survey instrument was not previously validated. Nevertheless, we believe this study offers a unique view on 30‐day readmissions from the patient perspective, with a focus on identifying areas for quality‐improvement interventions.

In conclusion, this study has enabled us to understand readmissions from a patient‐centered perspective. This perspective helps to challenge provider assumptions and gives much‐needed insight into the patient experience. For example, prior to surveying patients, one might assume that if a patient has a caregiver at home, they are unlikely to have concerns about taking care of themselves. We now know this is not the case. Similarly, we have discovered sections of our discharge paperwork that are confusing. Additionally, this study has revealed that patient attitudes regarding readmission can vary significantly from provider attitudes. By exploring the patient perspective and creating a new transition framework, we have identified specific target areas for interventions that would be meaningful to patients. As the nation continues to strive to identify sustainable solutions to reduce readmissions, the way to redesign care must always start and end with the patient.

Acknowledgements

The authors acknowledge Puneet Rana, James Haggerty‐Skeans, Jae Kim, Rhea Mathew, and Anna Do (UCLA volunteers) for helping to perform the patient interviews. We acknowledge Sandy Berry, MA (Senior Behavioral Scientist at RAND Corporation) for her help in reviewing our patient interview script. Additionally Anna Dermenchyan, RN, BSN (Senior Clinical Quality Specialist in the Department of Medicine at UCLA) provided significant administrative support.

Disclosures: This project was supported by a Patient Experience Grant from the Beryl Institute awarded to Jessica Howard‐Anderson, Sarah Lonowski, Ashley Busuttil, and Nasim Afsar‐manesh. Dr. Howard‐Anderson had full access to all of the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis. All coauthors have seen and agree with the contents of the article. The article is not under review by any other publication. An earlier version of this work was written as a research report (not peer reviewed) for the Beryl Institute (available at: http://www.theberylinstitute.org/?page=grantprogram). A portion of this work was presented at the Society for Hospital Medicine Annual Meeting in Washington, DC, on March 30, 2015.

References
  1. Axon RN, Coleman EA. What will it take to move the needle on hospital readmissions? Am J Med Qual. 2013;29(4):357359.
  2. Gerhardt G, Yemane A, Hickman P, Oelschlaeger A, Rollins E, Brennan N. Medicare readmission rates showed meaningful decline in 2012. Medicare Medicaid Res Rev. 2013;3(2):E1E12.
  3. Hansen LO, Young RS, Hinami K, Leung A, Williams MV. Interventions to reduce 30‐day rehospitalization: a systematic review. Ann Intern Med. 2011;155(8):520528.
  4. Leppin AL, Gionfriddo MR, Kessler M, et al. Preventing 30‐day hospital readmissions: a systematic review and meta‐analysis of randomized trials. JAMA Intern Med. 2014;174(7):10951107.
  5. Hernandez AF, Greiner MA, Fonarow GC, et al. Relationship between early physician follow‐up and 30‐day readmission among Medicare beneficiaries hospitalized for heart failure. JAMA. 2010;303(17):17161722.
  6. Amarasingham R, Patel PC, Toto K, et al. Allocating scarce resources in real‐time to reduce heart failure readmissions: a prospective, controlled study. BMJ Qual Saf. 2013;22(12):9981005.
  7. Howard‐Anderson J, Lonowski S, Vangala S, Tseng CH, Busuttil A, Afsar‐Manesh N. Readmissions in the era of patient engagement. JAMA Intern Med. 2014;174(11):18701872.
  8. Ahmad FS, Barg FK, Bowles KH, et al. Comparing perspectives of patients, caregivers, and clinicians on heart failure management [published online October 23, 2015]. J Card Fail. doi: 10.1016/j.cardfail.2015.10.011.
  9. Coleman EA, Parry C, Chalmers S, Min SJ. The care transitions intervention: results of a randomized controlled trial. Arch Intern Med. 2006;166(17):18221828.
  10. Strunin L, Stone M, Jack B. Understanding rehospitalization risk: can hospital discharge be modified to reduce recurrent hospitalization? J Hosp Med. 2007;2(5):297304.
  11. Long T, Genao I, Horwitz LI. Reasons for readmission in an underserved high‐risk population: a qualitative analysis of a series of inpatient interviews. BMJ Open. 2013;3(9):e003212.
  12. Cawthon C, Walia S, Osborn CY, Niesner KJ, Schnipper JL, Kripalani S. Improving care transitions: the patient perspective. J Health Commun. 2012;17(suppl 3):312324.
  13. Kangovi S, Barg FK, Carter T, et al. Challenges faced by patients with low socioeconomic status during the post‐hospital transition. J Gen Intern Med. 2014;29(2):283289.
  14. Greysen SR, Hoi‐Cheung D, Garcia V, et al. “Missing pieces”—functional, social, and environmental barriers to recovery for vulnerable older adults transitioning from hospital to home. J Am Geriatr Soc. 2014;62(8):15561561.
  15. Kangovi S, Grande D, Meehan P, Mitra N, Shannon R, Long JA. Perceptions of readmitted patients on the transition from hospital to home. J Hosp Med. 2012;7(9):709712.
  16. Feigenbaum P, Neuwirth E, Trowbridge L, et al. Factors contributing to all‐cause 30‐day readmissions: a structured case series across 18 hospitals. Med Care. 2012;50(7):599605.
  17. Annema C, Luttik ML, Jaarsma T. Reasons for readmission in heart failure: perspectives of patients, caregivers, cardiologists, and heart failure nurses. Heart Lung. 2009;38(5):427434.
  18. Retrum JH, Boggs J, Hersh A, et al. Patient‐identified factors related to heart failure readmissions. Circ Cardiovasc Qual Outcomes. 2013;6(2):171177.
  19. Rubin DJ, Donnell‐Jackson K, Jhingan R, Golden SH, Paranjape A. Early readmission among patients with diabetes: a qualitative assessment of contributing factors. J Diabetes Complications. 2014;28(6):869873.
  20. Enguidanos S, Coulourides Kogan AM, Schreibeis‐Baum H, Lendon J, Lorenz K. “Because I was sick”: seriously ill veterans' perspectives on reason for 30‐day readmissions. J Am Geriatr Soc. 2015;63(3):537542.
  21. Stewart M, Brown JB, Donner A, et al. The impact of patient‐centered care on outcomes. J Fam Pract. 2000;49(9):796804.
  22. Epstein RM, Franks P, Shields CG, et al. Patient‐centered communication and diagnostic testing. Ann Fam Med. 2005;3(5):415421.
  23. Zolnierek KB, Dimatteo MR. Physician communication and patient adherence to treatment: a meta‐analysis. Med Care. 2009;47(8):826834.
  24. Schillinger D, Piette J, Grumbach K, et al. Closing the loop: physician communication with diabetic patients who have low health literacy. Arch Intern Med. 2003;163(1):8390.
  25. Greenfield S, Kaplan SH, Ware JE, Yano EM, Frank HJ. Patients' participation in medical care: effects on blood sugar control and quality of life in diabetes. J Gen Intern Med. 1988;3(5):448457.
  26. Harris PA, Taylor R, Thielke R, Payne J, Gonzalez N, Conde JG. Research electronic data capture (REDCap)—a metadata‐driven methodology and workflow process for providing translational research informatics support. J Biomed Inform. 2009;42(2):377381.
  27. Jha AK, Orav EJ, Epstein AM. Public reporting of discharge planning and rates of readmissions. N Engl J Med. 2009;361(27):26372645.
  28. Horwitz LI, Moriarty JP, Chen C, et al. Quality of discharge practices and patient understanding at an academic medical center. JAMA Intern Med. 2013;173(18):17151722
  29. Kangovi S, Barg FK, Carter T, Long JA, Shannon R, Grande D. Understanding why patients of low socioeconomic status prefer hospitals over ambulatory care. Health Aff (Millwood). 2013;32(7):11961203.
References
  1. Axon RN, Coleman EA. What will it take to move the needle on hospital readmissions? Am J Med Qual. 2013;29(4):357359.
  2. Gerhardt G, Yemane A, Hickman P, Oelschlaeger A, Rollins E, Brennan N. Medicare readmission rates showed meaningful decline in 2012. Medicare Medicaid Res Rev. 2013;3(2):E1E12.
  3. Hansen LO, Young RS, Hinami K, Leung A, Williams MV. Interventions to reduce 30‐day rehospitalization: a systematic review. Ann Intern Med. 2011;155(8):520528.
  4. Leppin AL, Gionfriddo MR, Kessler M, et al. Preventing 30‐day hospital readmissions: a systematic review and meta‐analysis of randomized trials. JAMA Intern Med. 2014;174(7):10951107.
  5. Hernandez AF, Greiner MA, Fonarow GC, et al. Relationship between early physician follow‐up and 30‐day readmission among Medicare beneficiaries hospitalized for heart failure. JAMA. 2010;303(17):17161722.
  6. Amarasingham R, Patel PC, Toto K, et al. Allocating scarce resources in real‐time to reduce heart failure readmissions: a prospective, controlled study. BMJ Qual Saf. 2013;22(12):9981005.
  7. Howard‐Anderson J, Lonowski S, Vangala S, Tseng CH, Busuttil A, Afsar‐Manesh N. Readmissions in the era of patient engagement. JAMA Intern Med. 2014;174(11):18701872.
  8. Ahmad FS, Barg FK, Bowles KH, et al. Comparing perspectives of patients, caregivers, and clinicians on heart failure management [published online October 23, 2015]. J Card Fail. doi: 10.1016/j.cardfail.2015.10.011.
  9. Coleman EA, Parry C, Chalmers S, Min SJ. The care transitions intervention: results of a randomized controlled trial. Arch Intern Med. 2006;166(17):18221828.
  10. Strunin L, Stone M, Jack B. Understanding rehospitalization risk: can hospital discharge be modified to reduce recurrent hospitalization? J Hosp Med. 2007;2(5):297304.
  11. Long T, Genao I, Horwitz LI. Reasons for readmission in an underserved high‐risk population: a qualitative analysis of a series of inpatient interviews. BMJ Open. 2013;3(9):e003212.
  12. Cawthon C, Walia S, Osborn CY, Niesner KJ, Schnipper JL, Kripalani S. Improving care transitions: the patient perspective. J Health Commun. 2012;17(suppl 3):312324.
  13. Kangovi S, Barg FK, Carter T, et al. Challenges faced by patients with low socioeconomic status during the post‐hospital transition. J Gen Intern Med. 2014;29(2):283289.
  14. Greysen SR, Hoi‐Cheung D, Garcia V, et al. “Missing pieces”—functional, social, and environmental barriers to recovery for vulnerable older adults transitioning from hospital to home. J Am Geriatr Soc. 2014;62(8):15561561.
  15. Kangovi S, Grande D, Meehan P, Mitra N, Shannon R, Long JA. Perceptions of readmitted patients on the transition from hospital to home. J Hosp Med. 2012;7(9):709712.
  16. Feigenbaum P, Neuwirth E, Trowbridge L, et al. Factors contributing to all‐cause 30‐day readmissions: a structured case series across 18 hospitals. Med Care. 2012;50(7):599605.
  17. Annema C, Luttik ML, Jaarsma T. Reasons for readmission in heart failure: perspectives of patients, caregivers, cardiologists, and heart failure nurses. Heart Lung. 2009;38(5):427434.
  18. Retrum JH, Boggs J, Hersh A, et al. Patient‐identified factors related to heart failure readmissions. Circ Cardiovasc Qual Outcomes. 2013;6(2):171177.
  19. Rubin DJ, Donnell‐Jackson K, Jhingan R, Golden SH, Paranjape A. Early readmission among patients with diabetes: a qualitative assessment of contributing factors. J Diabetes Complications. 2014;28(6):869873.
  20. Enguidanos S, Coulourides Kogan AM, Schreibeis‐Baum H, Lendon J, Lorenz K. “Because I was sick”: seriously ill veterans' perspectives on reason for 30‐day readmissions. J Am Geriatr Soc. 2015;63(3):537542.
  21. Stewart M, Brown JB, Donner A, et al. The impact of patient‐centered care on outcomes. J Fam Pract. 2000;49(9):796804.
  22. Epstein RM, Franks P, Shields CG, et al. Patient‐centered communication and diagnostic testing. Ann Fam Med. 2005;3(5):415421.
  23. Zolnierek KB, Dimatteo MR. Physician communication and patient adherence to treatment: a meta‐analysis. Med Care. 2009;47(8):826834.
  24. Schillinger D, Piette J, Grumbach K, et al. Closing the loop: physician communication with diabetic patients who have low health literacy. Arch Intern Med. 2003;163(1):8390.
  25. Greenfield S, Kaplan SH, Ware JE, Yano EM, Frank HJ. Patients' participation in medical care: effects on blood sugar control and quality of life in diabetes. J Gen Intern Med. 1988;3(5):448457.
  26. Harris PA, Taylor R, Thielke R, Payne J, Gonzalez N, Conde JG. Research electronic data capture (REDCap)—a metadata‐driven methodology and workflow process for providing translational research informatics support. J Biomed Inform. 2009;42(2):377381.
  27. Jha AK, Orav EJ, Epstein AM. Public reporting of discharge planning and rates of readmissions. N Engl J Med. 2009;361(27):26372645.
  28. Horwitz LI, Moriarty JP, Chen C, et al. Quality of discharge practices and patient understanding at an academic medical center. JAMA Intern Med. 2013;173(18):17151722
  29. Kangovi S, Barg FK, Carter T, Long JA, Shannon R, Grande D. Understanding why patients of low socioeconomic status prefer hospitals over ambulatory care. Health Aff (Millwood). 2013;32(7):11961203.
Issue
Journal of Hospital Medicine - 11(6)
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From discharge to readmission: Understanding the process from the patient perspective
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Address for correspondence and reprint requests: Nasim Afsar‐manesh, MD, Division of General Internal Medicine, Department of Medicine, UCLA, Box 957417, RRUMC #7501A, Los Angeles, CA 90095‐7417; Telephone: 310‐267‐9627; Fax: 310‐267‐3840; E‐mail: [email protected]
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Emergency hernia surgery risk predicted by access, age, and race

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Emergency hernia surgery risk predicted by access, age, and race

JACKSONVILLE, FLA. – Age and access to medical care may be key drivers of emergency surgery for ventral hernia repair, a large retrospective study has found.

Patients who do not have health insurance, are advanced in age, are black or Hispanic, or have unrelated health problems are at significantly higher risk than other patients with hernias of having emergency surgery for ventral hernia repair, facing a higher risk of death, a higher cost, and a longer hospital stay, Dr. Lindsey Wolf said at the Association for Academic Surgery/Society of University Surgeons Academic Surgical Congress. “This study demonstrates persistent disparities in access to elective surgery care that must be understood and mitigated,” she said. “The strongest predictor was being uninsured. The self-pay group had an odds ratio of 3.5 for undergoing emergency surgery, compared with those who were primarily insured.”

Richard Mark Kirkner
Dr. Lindsey Wolf

The goal of the study was to identify patient and hospital factors associated with emergency ventral hernia surgery in the U.S. population, said Dr. Wolf of Brigham and Women’s Hospital in Boston. “Prior studies that have been done on predictors of emergency repair are from universally insured populations,” she said. One was a national cohort study in Denmark, and another involved the Veterans Affairs population, she said. “Both of these identified several demographic and clinical risk factors for emergency hernia repair,” she said.

The current Brigham and Women’s study involved a retrospective cross-sectional data analysis of approximately 453,000 elective and emergency ventral hernia repairs performed from 2003 to 2011 in the Nationwide Inpatient Sample. Any cases that involved a trauma diagnosis were excluded. Forty percent of the cases in the sample were emergency admissions.

When considering the effect of age, the investigators found that the aged 65-75 group had the lowest risk of emergency hernia surgery of all age groups with an odds ratio of 0.77, compared with those under 45 years. Those aged 85 and older, however, had the highest risk of all age groups with an odds ratio of 2.23. “The proportion of the cohort undergoing emergency surgery really increases drastically with age after 75 years,” Dr. Wolf said.

Other factors that had an impact on emergency hernia repair were Medicaid coverage (OR, 1.29, compared with private insurance), black race (OR, 1.64, compared with white race), Hispanic ethnicity (OR, 1.44, compared with non-Hispanic white race/ethnicity), and comorbidities, ranging from 1.13 for one comorbidity to 1.68 for three or more, compared with none.

The study also elucidated a few consequences of emergency ventral hernia repair: 2.58 times higher odds of death, a 15% greater cost per hospital stay, and 26% longer hospital stays.

“Looking forward there are both patient and provider areas to target,” Dr. Wolf said. “For patients, interventions must be designed to populations that may have poor access to elective surgical services.” She acknowledged that race was a strong predictor, “but race is a social construct that may be a proxy to many barriers to access and care.”

The study findings may also help inform surgeons on when to operate on ventral hernias. “In the absence of any clinical guidelines for when a hernia should be repaired, our results with regard to age and multiple comorbidities may assist surgeons in risk stratifying patients when considering [whether] to perform an elective repair,” she said.

Dr. Wolf and her coauthors had no relevant financial conflicts to disclose.

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JACKSONVILLE, FLA. – Age and access to medical care may be key drivers of emergency surgery for ventral hernia repair, a large retrospective study has found.

Patients who do not have health insurance, are advanced in age, are black or Hispanic, or have unrelated health problems are at significantly higher risk than other patients with hernias of having emergency surgery for ventral hernia repair, facing a higher risk of death, a higher cost, and a longer hospital stay, Dr. Lindsey Wolf said at the Association for Academic Surgery/Society of University Surgeons Academic Surgical Congress. “This study demonstrates persistent disparities in access to elective surgery care that must be understood and mitigated,” she said. “The strongest predictor was being uninsured. The self-pay group had an odds ratio of 3.5 for undergoing emergency surgery, compared with those who were primarily insured.”

Richard Mark Kirkner
Dr. Lindsey Wolf

The goal of the study was to identify patient and hospital factors associated with emergency ventral hernia surgery in the U.S. population, said Dr. Wolf of Brigham and Women’s Hospital in Boston. “Prior studies that have been done on predictors of emergency repair are from universally insured populations,” she said. One was a national cohort study in Denmark, and another involved the Veterans Affairs population, she said. “Both of these identified several demographic and clinical risk factors for emergency hernia repair,” she said.

The current Brigham and Women’s study involved a retrospective cross-sectional data analysis of approximately 453,000 elective and emergency ventral hernia repairs performed from 2003 to 2011 in the Nationwide Inpatient Sample. Any cases that involved a trauma diagnosis were excluded. Forty percent of the cases in the sample were emergency admissions.

When considering the effect of age, the investigators found that the aged 65-75 group had the lowest risk of emergency hernia surgery of all age groups with an odds ratio of 0.77, compared with those under 45 years. Those aged 85 and older, however, had the highest risk of all age groups with an odds ratio of 2.23. “The proportion of the cohort undergoing emergency surgery really increases drastically with age after 75 years,” Dr. Wolf said.

Other factors that had an impact on emergency hernia repair were Medicaid coverage (OR, 1.29, compared with private insurance), black race (OR, 1.64, compared with white race), Hispanic ethnicity (OR, 1.44, compared with non-Hispanic white race/ethnicity), and comorbidities, ranging from 1.13 for one comorbidity to 1.68 for three or more, compared with none.

The study also elucidated a few consequences of emergency ventral hernia repair: 2.58 times higher odds of death, a 15% greater cost per hospital stay, and 26% longer hospital stays.

“Looking forward there are both patient and provider areas to target,” Dr. Wolf said. “For patients, interventions must be designed to populations that may have poor access to elective surgical services.” She acknowledged that race was a strong predictor, “but race is a social construct that may be a proxy to many barriers to access and care.”

The study findings may also help inform surgeons on when to operate on ventral hernias. “In the absence of any clinical guidelines for when a hernia should be repaired, our results with regard to age and multiple comorbidities may assist surgeons in risk stratifying patients when considering [whether] to perform an elective repair,” she said.

Dr. Wolf and her coauthors had no relevant financial conflicts to disclose.

JACKSONVILLE, FLA. – Age and access to medical care may be key drivers of emergency surgery for ventral hernia repair, a large retrospective study has found.

Patients who do not have health insurance, are advanced in age, are black or Hispanic, or have unrelated health problems are at significantly higher risk than other patients with hernias of having emergency surgery for ventral hernia repair, facing a higher risk of death, a higher cost, and a longer hospital stay, Dr. Lindsey Wolf said at the Association for Academic Surgery/Society of University Surgeons Academic Surgical Congress. “This study demonstrates persistent disparities in access to elective surgery care that must be understood and mitigated,” she said. “The strongest predictor was being uninsured. The self-pay group had an odds ratio of 3.5 for undergoing emergency surgery, compared with those who were primarily insured.”

Richard Mark Kirkner
Dr. Lindsey Wolf

The goal of the study was to identify patient and hospital factors associated with emergency ventral hernia surgery in the U.S. population, said Dr. Wolf of Brigham and Women’s Hospital in Boston. “Prior studies that have been done on predictors of emergency repair are from universally insured populations,” she said. One was a national cohort study in Denmark, and another involved the Veterans Affairs population, she said. “Both of these identified several demographic and clinical risk factors for emergency hernia repair,” she said.

The current Brigham and Women’s study involved a retrospective cross-sectional data analysis of approximately 453,000 elective and emergency ventral hernia repairs performed from 2003 to 2011 in the Nationwide Inpatient Sample. Any cases that involved a trauma diagnosis were excluded. Forty percent of the cases in the sample were emergency admissions.

When considering the effect of age, the investigators found that the aged 65-75 group had the lowest risk of emergency hernia surgery of all age groups with an odds ratio of 0.77, compared with those under 45 years. Those aged 85 and older, however, had the highest risk of all age groups with an odds ratio of 2.23. “The proportion of the cohort undergoing emergency surgery really increases drastically with age after 75 years,” Dr. Wolf said.

Other factors that had an impact on emergency hernia repair were Medicaid coverage (OR, 1.29, compared with private insurance), black race (OR, 1.64, compared with white race), Hispanic ethnicity (OR, 1.44, compared with non-Hispanic white race/ethnicity), and comorbidities, ranging from 1.13 for one comorbidity to 1.68 for three or more, compared with none.

The study also elucidated a few consequences of emergency ventral hernia repair: 2.58 times higher odds of death, a 15% greater cost per hospital stay, and 26% longer hospital stays.

“Looking forward there are both patient and provider areas to target,” Dr. Wolf said. “For patients, interventions must be designed to populations that may have poor access to elective surgical services.” She acknowledged that race was a strong predictor, “but race is a social construct that may be a proxy to many barriers to access and care.”

The study findings may also help inform surgeons on when to operate on ventral hernias. “In the absence of any clinical guidelines for when a hernia should be repaired, our results with regard to age and multiple comorbidities may assist surgeons in risk stratifying patients when considering [whether] to perform an elective repair,” she said.

Dr. Wolf and her coauthors had no relevant financial conflicts to disclose.

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Emergency hernia surgery risk predicted by access, age, and race
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AT THE ACADEMIC SURGICAL CONGRESS

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Key clinical point: Disparities among patients more likely to get emergency rather than elective ventral hernia repair include race, insurance status, and advanced age.

Major finding: Among demographic groups with a significantly higher likelihood of undergoing emergency ventral hernia repair were blacks (odds ratio, 1.64), Hispanics (OR, 1.44), and people over age 85 (OR, 2.23).

Data source: Nationwide Inpatient Sample of 453,000 adults who had inpatient ventral hernia repair from 2003 to 2011.

Disclosures: The study authors reported having no relevant financial disclosures.

ACOG pushes for contraception measures in Core Quality Measures Collaborative

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ACOG pushes for contraception measures in Core Quality Measures Collaborative

Disagreement over quality measures regarding contraception has led the American College of Obstetricians and Gynecologists to withhold its imprimatur from the Core Quality Measures Collaborative.

“Although ACOG representatives did participate in the process to select measures to be included in the Core Quality Measures Collaborative process, ACOG did not choose to be recognized for participation until further agreement can be made regarding quality measures related to effective contraceptives and immediate postpartum contraception,” Dr. Barbara Levy, ACOG vice president of health policy, said in an interview. “ACOG believes that measures can help create accountability among health systems regarding contraceptive access, providing an opportunity to prevent unintended pregnancies.”

©EduardoLuzzatti/iStockphoto.com
An intrauterine device

The Core Quality Measures Collaborative is lead by the Centers for Medicare & Medicaid Services and America’s Health Insurance Plans, with input from the National Quality Forum, medical societies, employer groups, and consumer groups, with the goal of building a uniform set of quality measures to be used by both public and private payers in value-based payment structures.

The first seven sets of measures under the collaborative were announced Feb. 16; ob.gyn. measures were included in this limited release.

For ob.gyn., the measures are blocked into two sets. Metrics in the ambulatory care setting look at frequency of ongoing prenatal care, cervical and breast cancer screening, chlamydia screening and follow-up, and appropriate work-up prior to endometrial ablation. Measures in the hospital/acute care setting include incidence of episiotomy, elective delivery, cesarean sections, antenatal steroids, and exclusive breastfeeding.

Four areas identified for future development include physician-level urinary incontinence screening, more on cesarean sections, Tdap/influenza administration in pregnancy, and HIV screening of STI patients.

ACOG said it will continue to push for the inclusion of contraception measures as part of the measures, particularly as access to them continues to be an issue.

“Although the Affordable Care Act requires insurance plans to cover the full range of Food and Drug Administration–approved contraceptive methods, we know that implementation of this provision has not been universal, and some women’s needs are currently unmet,” Dr. Levy said. “Because of this, ACOG continues to advocate for quality measures that will lead to meaningful improvements in access to effective contraception and immediate postpartum contraception. It is our hope that we can advance the commitment of commercial health insurance plans to promoting the most effective contraceptive methods in a way that meets the needs of more American women.”

[email protected]

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Disagreement over quality measures regarding contraception has led the American College of Obstetricians and Gynecologists to withhold its imprimatur from the Core Quality Measures Collaborative.

“Although ACOG representatives did participate in the process to select measures to be included in the Core Quality Measures Collaborative process, ACOG did not choose to be recognized for participation until further agreement can be made regarding quality measures related to effective contraceptives and immediate postpartum contraception,” Dr. Barbara Levy, ACOG vice president of health policy, said in an interview. “ACOG believes that measures can help create accountability among health systems regarding contraceptive access, providing an opportunity to prevent unintended pregnancies.”

©EduardoLuzzatti/iStockphoto.com
An intrauterine device

The Core Quality Measures Collaborative is lead by the Centers for Medicare & Medicaid Services and America’s Health Insurance Plans, with input from the National Quality Forum, medical societies, employer groups, and consumer groups, with the goal of building a uniform set of quality measures to be used by both public and private payers in value-based payment structures.

The first seven sets of measures under the collaborative were announced Feb. 16; ob.gyn. measures were included in this limited release.

For ob.gyn., the measures are blocked into two sets. Metrics in the ambulatory care setting look at frequency of ongoing prenatal care, cervical and breast cancer screening, chlamydia screening and follow-up, and appropriate work-up prior to endometrial ablation. Measures in the hospital/acute care setting include incidence of episiotomy, elective delivery, cesarean sections, antenatal steroids, and exclusive breastfeeding.

Four areas identified for future development include physician-level urinary incontinence screening, more on cesarean sections, Tdap/influenza administration in pregnancy, and HIV screening of STI patients.

ACOG said it will continue to push for the inclusion of contraception measures as part of the measures, particularly as access to them continues to be an issue.

“Although the Affordable Care Act requires insurance plans to cover the full range of Food and Drug Administration–approved contraceptive methods, we know that implementation of this provision has not been universal, and some women’s needs are currently unmet,” Dr. Levy said. “Because of this, ACOG continues to advocate for quality measures that will lead to meaningful improvements in access to effective contraception and immediate postpartum contraception. It is our hope that we can advance the commitment of commercial health insurance plans to promoting the most effective contraceptive methods in a way that meets the needs of more American women.”

[email protected]

Disagreement over quality measures regarding contraception has led the American College of Obstetricians and Gynecologists to withhold its imprimatur from the Core Quality Measures Collaborative.

“Although ACOG representatives did participate in the process to select measures to be included in the Core Quality Measures Collaborative process, ACOG did not choose to be recognized for participation until further agreement can be made regarding quality measures related to effective contraceptives and immediate postpartum contraception,” Dr. Barbara Levy, ACOG vice president of health policy, said in an interview. “ACOG believes that measures can help create accountability among health systems regarding contraceptive access, providing an opportunity to prevent unintended pregnancies.”

©EduardoLuzzatti/iStockphoto.com
An intrauterine device

The Core Quality Measures Collaborative is lead by the Centers for Medicare & Medicaid Services and America’s Health Insurance Plans, with input from the National Quality Forum, medical societies, employer groups, and consumer groups, with the goal of building a uniform set of quality measures to be used by both public and private payers in value-based payment structures.

The first seven sets of measures under the collaborative were announced Feb. 16; ob.gyn. measures were included in this limited release.

For ob.gyn., the measures are blocked into two sets. Metrics in the ambulatory care setting look at frequency of ongoing prenatal care, cervical and breast cancer screening, chlamydia screening and follow-up, and appropriate work-up prior to endometrial ablation. Measures in the hospital/acute care setting include incidence of episiotomy, elective delivery, cesarean sections, antenatal steroids, and exclusive breastfeeding.

Four areas identified for future development include physician-level urinary incontinence screening, more on cesarean sections, Tdap/influenza administration in pregnancy, and HIV screening of STI patients.

ACOG said it will continue to push for the inclusion of contraception measures as part of the measures, particularly as access to them continues to be an issue.

“Although the Affordable Care Act requires insurance plans to cover the full range of Food and Drug Administration–approved contraceptive methods, we know that implementation of this provision has not been universal, and some women’s needs are currently unmet,” Dr. Levy said. “Because of this, ACOG continues to advocate for quality measures that will lead to meaningful improvements in access to effective contraception and immediate postpartum contraception. It is our hope that we can advance the commitment of commercial health insurance plans to promoting the most effective contraceptive methods in a way that meets the needs of more American women.”

[email protected]

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STS: Minimizing LVAD pump thrombosis poses new challenges

Field of mechanical circulatory support awaits new technology
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STS: Minimizing LVAD pump thrombosis poses new challenges

PHOENIX – Cardiothoracic surgeons who implant left ventricular assist devices in patients with failing hearts remain at a loss to fully explain why they started seeing a sharp increase in thrombus clogging in these devices in 2012, but nevertheless they are gaining a better sense of how to minimize the risk.

Three key principles for minimizing thrombosis risk are selecting the right patients to receive left ventricular assist devices (LVAD), applying optimal management strategies once patients receive a LVAD, and maintaining adequate flow of blood through the pump, Dr. Francis D. Pagani said in a talk at a session devoted to pump thrombosis at the annual meeting of the Society of Thoracic Surgeons.

Mitchel L. Zoler/Frontline Medical News
Dr. Francis D. Pagani

Other critical aspects include optimal implantation technique, quick work-up of patients to rule out reversible LVAD inflow or outflow problems once pump thrombosis is suspected, and ceasing medical therapy of the thrombosis if it proves ineffective and instead progress to surgical pump exchange, pump explantation, or heart transplant when necessary, said Dr. Ahmet Kilic, a cardiothoracic surgeon at the Ohio State University, Columbus.

Another key issue is that, now that the pump thrombosis incidence is averaging about 10% of LVAD recipients, with an incidence rate during 2-year follow-up as high as 24% reported from one series, surgeons and physicians who care for LVAD patients must have a high index of suspicion and routinely screen LVAD recipients for early signs of pump thrombosis. The best way to catch pump thrombosis early seems to be by regularly measuring patients’ serum level of lactate dehydrogenase (LDH), said Dr. Robert L. Kormos, professor of surgery and director of the artificial heart program at the University of Pittsburgh.

Mitchel L. Zoler/Frontline Medical News
Dr. Ahmet Kilic

“We measure LDH on most clinic visits, whether or not the patient has an indication of pump thrombosis. We need to screen [LDH levels] much more routinely than we used to,” he said during the session. “Elevated LDH is probably the first and most reliable early sign, but you need to also assess LDH isoenzymes because we’ve had patients with an elevation but no sign of pump thrombosis, and their isoenzymes showed that the increased LDH was coming from their liver,” Dr. Kormos said in an interview.

Although serial measurements and isoenzyme analysis can establish a sharp rise in heart-specific LDH in an individual patient, a report at the meeting documented that in a series of 53 patients with pump thrombosis treated at either of two U.S. centers, an LDH level of at least 1,155 IU/L flagged pump thrombosis with a fairly high sensitivity and specificity. This LDH level is roughly five times the upper limit of normal, noted Dr. Pagani, professor of surgery and surgical director of adult heart transplantation at the University of Michigan, Ann Arbor, and a senior author on this report.

Dr. Robert L. Kormos

But prior to this report Dr. Kormos said that he regarded a LDH level of 600-800 IU/L as enough of an elevation above normal to prompt concern and investigation. And he criticized some LVAD programs that allow LDH levels to rise much higher.

“I know of clinicians who see a LDH of 1,500-2,000 IU/L but the patient seems okay and they wonder if they should change out the pump. For me, it’s a no brainer. Others try to list a patient like this for a heart transplant so they can avoid doing a pump exchange. I think that’s dangerous; it risks liver failure or renal failure. I would not sit on any LVAD that is starting to produce signs of hemolysis syndrome, but some places do this,” Dr. Kormos said in an interview.

“Pump thrombosis probably did not get addressed in as timely a fashion as it should have been” when it was first seen on the rise in 2012, noted Dr. James K. Kirklin, professor of surgery and director of cardiothoracic surgery at the University of Alabama, Birmingham. “It is now being addressed, and we realize that this is not just a pump problem but also involves patient factors and management factors that we need to learn more about. We are quite ignorant of the patient factors and understanding their contributions to bleeding and thrombosis,” said Dr. Kirklin. He also acknowledged that whatever role the current generation of LVAD pumps play in causing thrombosis will not quickly resolve.

Dr. James K. Kirklin

“I’m looking forward to a new generation of pumps, but the pumps we have today will probably remain for another 3-5 years.”

 

 

The issue of LVAD pump thrombosis first came into clear focus with publication at the start of 2014 of a report that tracked its incidence from 2004 to mid-2013 at three U.S. centers that had placed a total of 895 LVADs in 837 patients. The annual rate of new episodes of pump thrombosis jumped from about 1%-2% of LVAD recipients throughout the first part of the study period through the end of 2011, to an annual rate of about 10% by mid 2013 (N Engl J Med. 2014 Jan 2;370[1]:33-40).

“The inflection occurred in about 2012,” noted Dr. Nicholas G. Smedira, a cardiothoracic surgeon at the Cleveland Clinic. “No one has figured out why” the incidence suddenly spiked starting in 2012 and intensified in 2013, he said. This epidemic of pump thrombosis has produced “devastating complications” that have led to multiple readmissions and reduced cost-effectiveness of LVADs and has affected how the heart transplant community allocates hearts, Dr. Smedira said during his talk at the session. He noted that once the surge in pump thrombosis started, the timing of the appearance of significant thrombus shifted earlier, often occurring within 2-3 months after LVAD placement. There now is “increasing device-related pessimism” and increasing demoralization among clinicians because of this recurring complication, he said.

Mitchel L. Zoler/Frontline Medical News
Dr. Nicholas Smedira

More recent data show the trend toward increasingly higher rates of pump thrombosis continuing through the end of 2013, with the situation during 2014 a bit less clear. Late last year, data from 9,808 U.S. patients who received an LVAD and entered the Interagency Registry for Mechanically Assisted Circulatory Support (INTERMACS) showed that the incidence of pump thrombosis during the first 6 months following an implant rose from 1% in 2008 to 2% in 2009 and in 2010, 4% in 2011, 7% in 2012, 8% in 2013, and then eased back to 5% in the first half of 2014 (J Heart Lung Transplant. 2015 Dec;34[12]:1515-26). The annual rate rose from 2% in 2008 to a peak of 11% in 2013, with 12-month data from 2014 not yet available at the time of this report.

“The modest reduction of observed pump thrombosis at 6 months during 2014 has occurred in a milieu of heightened intensity of anti-coagulation management, greater surgical awareness of optimal pump implantation and positioning and pump speed management. Thus, one may speculate that current thrombosis risk-mitigation strategies have contributed to reducing but not eliminating the increased thrombosis risk observed since 2011,” concluded the authors of the report.

Surgeons and cardiologists must now have a high index of suspicion for pump thrombosis in LVAD recipients, and be especially on the lookout for four key flags of a problem, said Dr. Kormos. The first is a rising LDH level, but additional flags include an isolated power elevation that doesn’t correlate with anything else, evidence of hemolysis, and new-onset heart failure symptoms. These can occur individually or in some combination. He recommended following a diagnostic algorithm first presented in 2013 that remains very valid today (J Heart Lung Transplant. 2013 July;32[7]:667-70).

Dr. Kormos also highlighted that the presentation of pump thrombosis can differ between the two LVADs most commonly used in U.S. practice, the HeartMate II and the HeartWare devices. A LDH elevation is primarily an indicator for HeartMate II, while both that model and the HeartWare device show sustained, isolated power elevations when thrombosis occurs.

Dr. Pagani, Dr. Kirklin, and Dr. Smedira had no disclosures. Dr. Kormos has received travel support from HeartWare. Dr. Kilic has been a consultant to Thoratec and a speaker on behalf of Baxter International.

[email protected]

On Twitter @mitchelzoler

References

Body

Dr. Hossein Almassi, FCCP, comments: With improvements in technology and development of rotary pumps, there has been a significant growth in the use of mechanical circulatory support (MCS) for treatment of end stage heart failure with a parallel improvement in patients’ survival and the quality of life.

Dr. Hossein Almassi

The authors of this report presented at the 2016 annual meeting of the STS, are authorities in the field of MCS outlining the observed increase in pump thrombosis noted in 2012. The sharp increase in the thrombosis rate is different from the lower incidence seen in the preapproval stage of the pump trial.

It should be noted that the report is related mainly to the HeatMate II left ventricular assist device (LVAD) and not the more recently implanted HeartWare device. 

The diagnostic algorithm outlined in the accompanying reference (J Heart Lung Transplant. 2013 July;32[7]:667-70) regarding the diagnosis and management of suspected pump thrombosis is worth reading with the main criteria heralding a potential pump thrombosis being 1)sustained pump power elevation, 2) elevation of cardiac LDH or plasma-free hemoglobin, 3) hemolysis, and 4) symptoms of heart failure.

With further refinements in technology, the field of MCS is awaiting the development of newer LVAD devices that would mitigate the serious problem of pump thrombosis.

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Body

Dr. Hossein Almassi, FCCP, comments: With improvements in technology and development of rotary pumps, there has been a significant growth in the use of mechanical circulatory support (MCS) for treatment of end stage heart failure with a parallel improvement in patients’ survival and the quality of life.

Dr. Hossein Almassi

The authors of this report presented at the 2016 annual meeting of the STS, are authorities in the field of MCS outlining the observed increase in pump thrombosis noted in 2012. The sharp increase in the thrombosis rate is different from the lower incidence seen in the preapproval stage of the pump trial.

It should be noted that the report is related mainly to the HeatMate II left ventricular assist device (LVAD) and not the more recently implanted HeartWare device. 

The diagnostic algorithm outlined in the accompanying reference (J Heart Lung Transplant. 2013 July;32[7]:667-70) regarding the diagnosis and management of suspected pump thrombosis is worth reading with the main criteria heralding a potential pump thrombosis being 1)sustained pump power elevation, 2) elevation of cardiac LDH or plasma-free hemoglobin, 3) hemolysis, and 4) symptoms of heart failure.

With further refinements in technology, the field of MCS is awaiting the development of newer LVAD devices that would mitigate the serious problem of pump thrombosis.

Body

Dr. Hossein Almassi, FCCP, comments: With improvements in technology and development of rotary pumps, there has been a significant growth in the use of mechanical circulatory support (MCS) for treatment of end stage heart failure with a parallel improvement in patients’ survival and the quality of life.

Dr. Hossein Almassi

The authors of this report presented at the 2016 annual meeting of the STS, are authorities in the field of MCS outlining the observed increase in pump thrombosis noted in 2012. The sharp increase in the thrombosis rate is different from the lower incidence seen in the preapproval stage of the pump trial.

It should be noted that the report is related mainly to the HeatMate II left ventricular assist device (LVAD) and not the more recently implanted HeartWare device. 

The diagnostic algorithm outlined in the accompanying reference (J Heart Lung Transplant. 2013 July;32[7]:667-70) regarding the diagnosis and management of suspected pump thrombosis is worth reading with the main criteria heralding a potential pump thrombosis being 1)sustained pump power elevation, 2) elevation of cardiac LDH or plasma-free hemoglobin, 3) hemolysis, and 4) symptoms of heart failure.

With further refinements in technology, the field of MCS is awaiting the development of newer LVAD devices that would mitigate the serious problem of pump thrombosis.

Title
Field of mechanical circulatory support awaits new technology
Field of mechanical circulatory support awaits new technology

PHOENIX – Cardiothoracic surgeons who implant left ventricular assist devices in patients with failing hearts remain at a loss to fully explain why they started seeing a sharp increase in thrombus clogging in these devices in 2012, but nevertheless they are gaining a better sense of how to minimize the risk.

Three key principles for minimizing thrombosis risk are selecting the right patients to receive left ventricular assist devices (LVAD), applying optimal management strategies once patients receive a LVAD, and maintaining adequate flow of blood through the pump, Dr. Francis D. Pagani said in a talk at a session devoted to pump thrombosis at the annual meeting of the Society of Thoracic Surgeons.

Mitchel L. Zoler/Frontline Medical News
Dr. Francis D. Pagani

Other critical aspects include optimal implantation technique, quick work-up of patients to rule out reversible LVAD inflow or outflow problems once pump thrombosis is suspected, and ceasing medical therapy of the thrombosis if it proves ineffective and instead progress to surgical pump exchange, pump explantation, or heart transplant when necessary, said Dr. Ahmet Kilic, a cardiothoracic surgeon at the Ohio State University, Columbus.

Another key issue is that, now that the pump thrombosis incidence is averaging about 10% of LVAD recipients, with an incidence rate during 2-year follow-up as high as 24% reported from one series, surgeons and physicians who care for LVAD patients must have a high index of suspicion and routinely screen LVAD recipients for early signs of pump thrombosis. The best way to catch pump thrombosis early seems to be by regularly measuring patients’ serum level of lactate dehydrogenase (LDH), said Dr. Robert L. Kormos, professor of surgery and director of the artificial heart program at the University of Pittsburgh.

Mitchel L. Zoler/Frontline Medical News
Dr. Ahmet Kilic

“We measure LDH on most clinic visits, whether or not the patient has an indication of pump thrombosis. We need to screen [LDH levels] much more routinely than we used to,” he said during the session. “Elevated LDH is probably the first and most reliable early sign, but you need to also assess LDH isoenzymes because we’ve had patients with an elevation but no sign of pump thrombosis, and their isoenzymes showed that the increased LDH was coming from their liver,” Dr. Kormos said in an interview.

Although serial measurements and isoenzyme analysis can establish a sharp rise in heart-specific LDH in an individual patient, a report at the meeting documented that in a series of 53 patients with pump thrombosis treated at either of two U.S. centers, an LDH level of at least 1,155 IU/L flagged pump thrombosis with a fairly high sensitivity and specificity. This LDH level is roughly five times the upper limit of normal, noted Dr. Pagani, professor of surgery and surgical director of adult heart transplantation at the University of Michigan, Ann Arbor, and a senior author on this report.

Dr. Robert L. Kormos

But prior to this report Dr. Kormos said that he regarded a LDH level of 600-800 IU/L as enough of an elevation above normal to prompt concern and investigation. And he criticized some LVAD programs that allow LDH levels to rise much higher.

“I know of clinicians who see a LDH of 1,500-2,000 IU/L but the patient seems okay and they wonder if they should change out the pump. For me, it’s a no brainer. Others try to list a patient like this for a heart transplant so they can avoid doing a pump exchange. I think that’s dangerous; it risks liver failure or renal failure. I would not sit on any LVAD that is starting to produce signs of hemolysis syndrome, but some places do this,” Dr. Kormos said in an interview.

“Pump thrombosis probably did not get addressed in as timely a fashion as it should have been” when it was first seen on the rise in 2012, noted Dr. James K. Kirklin, professor of surgery and director of cardiothoracic surgery at the University of Alabama, Birmingham. “It is now being addressed, and we realize that this is not just a pump problem but also involves patient factors and management factors that we need to learn more about. We are quite ignorant of the patient factors and understanding their contributions to bleeding and thrombosis,” said Dr. Kirklin. He also acknowledged that whatever role the current generation of LVAD pumps play in causing thrombosis will not quickly resolve.

Dr. James K. Kirklin

“I’m looking forward to a new generation of pumps, but the pumps we have today will probably remain for another 3-5 years.”

 

 

The issue of LVAD pump thrombosis first came into clear focus with publication at the start of 2014 of a report that tracked its incidence from 2004 to mid-2013 at three U.S. centers that had placed a total of 895 LVADs in 837 patients. The annual rate of new episodes of pump thrombosis jumped from about 1%-2% of LVAD recipients throughout the first part of the study period through the end of 2011, to an annual rate of about 10% by mid 2013 (N Engl J Med. 2014 Jan 2;370[1]:33-40).

“The inflection occurred in about 2012,” noted Dr. Nicholas G. Smedira, a cardiothoracic surgeon at the Cleveland Clinic. “No one has figured out why” the incidence suddenly spiked starting in 2012 and intensified in 2013, he said. This epidemic of pump thrombosis has produced “devastating complications” that have led to multiple readmissions and reduced cost-effectiveness of LVADs and has affected how the heart transplant community allocates hearts, Dr. Smedira said during his talk at the session. He noted that once the surge in pump thrombosis started, the timing of the appearance of significant thrombus shifted earlier, often occurring within 2-3 months after LVAD placement. There now is “increasing device-related pessimism” and increasing demoralization among clinicians because of this recurring complication, he said.

Mitchel L. Zoler/Frontline Medical News
Dr. Nicholas Smedira

More recent data show the trend toward increasingly higher rates of pump thrombosis continuing through the end of 2013, with the situation during 2014 a bit less clear. Late last year, data from 9,808 U.S. patients who received an LVAD and entered the Interagency Registry for Mechanically Assisted Circulatory Support (INTERMACS) showed that the incidence of pump thrombosis during the first 6 months following an implant rose from 1% in 2008 to 2% in 2009 and in 2010, 4% in 2011, 7% in 2012, 8% in 2013, and then eased back to 5% in the first half of 2014 (J Heart Lung Transplant. 2015 Dec;34[12]:1515-26). The annual rate rose from 2% in 2008 to a peak of 11% in 2013, with 12-month data from 2014 not yet available at the time of this report.

“The modest reduction of observed pump thrombosis at 6 months during 2014 has occurred in a milieu of heightened intensity of anti-coagulation management, greater surgical awareness of optimal pump implantation and positioning and pump speed management. Thus, one may speculate that current thrombosis risk-mitigation strategies have contributed to reducing but not eliminating the increased thrombosis risk observed since 2011,” concluded the authors of the report.

Surgeons and cardiologists must now have a high index of suspicion for pump thrombosis in LVAD recipients, and be especially on the lookout for four key flags of a problem, said Dr. Kormos. The first is a rising LDH level, but additional flags include an isolated power elevation that doesn’t correlate with anything else, evidence of hemolysis, and new-onset heart failure symptoms. These can occur individually or in some combination. He recommended following a diagnostic algorithm first presented in 2013 that remains very valid today (J Heart Lung Transplant. 2013 July;32[7]:667-70).

Dr. Kormos also highlighted that the presentation of pump thrombosis can differ between the two LVADs most commonly used in U.S. practice, the HeartMate II and the HeartWare devices. A LDH elevation is primarily an indicator for HeartMate II, while both that model and the HeartWare device show sustained, isolated power elevations when thrombosis occurs.

Dr. Pagani, Dr. Kirklin, and Dr. Smedira had no disclosures. Dr. Kormos has received travel support from HeartWare. Dr. Kilic has been a consultant to Thoratec and a speaker on behalf of Baxter International.

[email protected]

On Twitter @mitchelzoler

PHOENIX – Cardiothoracic surgeons who implant left ventricular assist devices in patients with failing hearts remain at a loss to fully explain why they started seeing a sharp increase in thrombus clogging in these devices in 2012, but nevertheless they are gaining a better sense of how to minimize the risk.

Three key principles for minimizing thrombosis risk are selecting the right patients to receive left ventricular assist devices (LVAD), applying optimal management strategies once patients receive a LVAD, and maintaining adequate flow of blood through the pump, Dr. Francis D. Pagani said in a talk at a session devoted to pump thrombosis at the annual meeting of the Society of Thoracic Surgeons.

Mitchel L. Zoler/Frontline Medical News
Dr. Francis D. Pagani

Other critical aspects include optimal implantation technique, quick work-up of patients to rule out reversible LVAD inflow or outflow problems once pump thrombosis is suspected, and ceasing medical therapy of the thrombosis if it proves ineffective and instead progress to surgical pump exchange, pump explantation, or heart transplant when necessary, said Dr. Ahmet Kilic, a cardiothoracic surgeon at the Ohio State University, Columbus.

Another key issue is that, now that the pump thrombosis incidence is averaging about 10% of LVAD recipients, with an incidence rate during 2-year follow-up as high as 24% reported from one series, surgeons and physicians who care for LVAD patients must have a high index of suspicion and routinely screen LVAD recipients for early signs of pump thrombosis. The best way to catch pump thrombosis early seems to be by regularly measuring patients’ serum level of lactate dehydrogenase (LDH), said Dr. Robert L. Kormos, professor of surgery and director of the artificial heart program at the University of Pittsburgh.

Mitchel L. Zoler/Frontline Medical News
Dr. Ahmet Kilic

“We measure LDH on most clinic visits, whether or not the patient has an indication of pump thrombosis. We need to screen [LDH levels] much more routinely than we used to,” he said during the session. “Elevated LDH is probably the first and most reliable early sign, but you need to also assess LDH isoenzymes because we’ve had patients with an elevation but no sign of pump thrombosis, and their isoenzymes showed that the increased LDH was coming from their liver,” Dr. Kormos said in an interview.

Although serial measurements and isoenzyme analysis can establish a sharp rise in heart-specific LDH in an individual patient, a report at the meeting documented that in a series of 53 patients with pump thrombosis treated at either of two U.S. centers, an LDH level of at least 1,155 IU/L flagged pump thrombosis with a fairly high sensitivity and specificity. This LDH level is roughly five times the upper limit of normal, noted Dr. Pagani, professor of surgery and surgical director of adult heart transplantation at the University of Michigan, Ann Arbor, and a senior author on this report.

Dr. Robert L. Kormos

But prior to this report Dr. Kormos said that he regarded a LDH level of 600-800 IU/L as enough of an elevation above normal to prompt concern and investigation. And he criticized some LVAD programs that allow LDH levels to rise much higher.

“I know of clinicians who see a LDH of 1,500-2,000 IU/L but the patient seems okay and they wonder if they should change out the pump. For me, it’s a no brainer. Others try to list a patient like this for a heart transplant so they can avoid doing a pump exchange. I think that’s dangerous; it risks liver failure or renal failure. I would not sit on any LVAD that is starting to produce signs of hemolysis syndrome, but some places do this,” Dr. Kormos said in an interview.

“Pump thrombosis probably did not get addressed in as timely a fashion as it should have been” when it was first seen on the rise in 2012, noted Dr. James K. Kirklin, professor of surgery and director of cardiothoracic surgery at the University of Alabama, Birmingham. “It is now being addressed, and we realize that this is not just a pump problem but also involves patient factors and management factors that we need to learn more about. We are quite ignorant of the patient factors and understanding their contributions to bleeding and thrombosis,” said Dr. Kirklin. He also acknowledged that whatever role the current generation of LVAD pumps play in causing thrombosis will not quickly resolve.

Dr. James K. Kirklin

“I’m looking forward to a new generation of pumps, but the pumps we have today will probably remain for another 3-5 years.”

 

 

The issue of LVAD pump thrombosis first came into clear focus with publication at the start of 2014 of a report that tracked its incidence from 2004 to mid-2013 at three U.S. centers that had placed a total of 895 LVADs in 837 patients. The annual rate of new episodes of pump thrombosis jumped from about 1%-2% of LVAD recipients throughout the first part of the study period through the end of 2011, to an annual rate of about 10% by mid 2013 (N Engl J Med. 2014 Jan 2;370[1]:33-40).

“The inflection occurred in about 2012,” noted Dr. Nicholas G. Smedira, a cardiothoracic surgeon at the Cleveland Clinic. “No one has figured out why” the incidence suddenly spiked starting in 2012 and intensified in 2013, he said. This epidemic of pump thrombosis has produced “devastating complications” that have led to multiple readmissions and reduced cost-effectiveness of LVADs and has affected how the heart transplant community allocates hearts, Dr. Smedira said during his talk at the session. He noted that once the surge in pump thrombosis started, the timing of the appearance of significant thrombus shifted earlier, often occurring within 2-3 months after LVAD placement. There now is “increasing device-related pessimism” and increasing demoralization among clinicians because of this recurring complication, he said.

Mitchel L. Zoler/Frontline Medical News
Dr. Nicholas Smedira

More recent data show the trend toward increasingly higher rates of pump thrombosis continuing through the end of 2013, with the situation during 2014 a bit less clear. Late last year, data from 9,808 U.S. patients who received an LVAD and entered the Interagency Registry for Mechanically Assisted Circulatory Support (INTERMACS) showed that the incidence of pump thrombosis during the first 6 months following an implant rose from 1% in 2008 to 2% in 2009 and in 2010, 4% in 2011, 7% in 2012, 8% in 2013, and then eased back to 5% in the first half of 2014 (J Heart Lung Transplant. 2015 Dec;34[12]:1515-26). The annual rate rose from 2% in 2008 to a peak of 11% in 2013, with 12-month data from 2014 not yet available at the time of this report.

“The modest reduction of observed pump thrombosis at 6 months during 2014 has occurred in a milieu of heightened intensity of anti-coagulation management, greater surgical awareness of optimal pump implantation and positioning and pump speed management. Thus, one may speculate that current thrombosis risk-mitigation strategies have contributed to reducing but not eliminating the increased thrombosis risk observed since 2011,” concluded the authors of the report.

Surgeons and cardiologists must now have a high index of suspicion for pump thrombosis in LVAD recipients, and be especially on the lookout for four key flags of a problem, said Dr. Kormos. The first is a rising LDH level, but additional flags include an isolated power elevation that doesn’t correlate with anything else, evidence of hemolysis, and new-onset heart failure symptoms. These can occur individually or in some combination. He recommended following a diagnostic algorithm first presented in 2013 that remains very valid today (J Heart Lung Transplant. 2013 July;32[7]:667-70).

Dr. Kormos also highlighted that the presentation of pump thrombosis can differ between the two LVADs most commonly used in U.S. practice, the HeartMate II and the HeartWare devices. A LDH elevation is primarily an indicator for HeartMate II, while both that model and the HeartWare device show sustained, isolated power elevations when thrombosis occurs.

Dr. Pagani, Dr. Kirklin, and Dr. Smedira had no disclosures. Dr. Kormos has received travel support from HeartWare. Dr. Kilic has been a consultant to Thoratec and a speaker on behalf of Baxter International.

[email protected]

On Twitter @mitchelzoler

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