User login
ACR’s 2016-2020 research agenda built through consensus
Therapeutic goals set the tone for the American College of Rheumatology National Research Agenda 2016-2020 by calling for the discovery and development of new therapies for rheumatic disease; finding predictors of response and nonresponse to, and adverse events from therapy; and improving the understanding of how therapies should be used.
Those are the top 3 out of 15 goals facilitated by the ACR’s Committee on Research, which finalized the agenda after seeking input from members of the ACR and Association of Rheumatology Health Professionals (ARHP) living in the United States, and going through several rounds of refining and prioritizing the importance of goals through the input of clinicians, researchers, patients, and stakeholders. The Committee on Research uses the agenda to “set the compass for the organization in terms of research initiatives and facilitate the ACR’s advocacy for the research goals identified.”
Dr. Alexis R. Ogdie-Beatty, who jointly led the development of the agenda for the Committee on Research along with Dr. S. Louis Bridges, said that while the goals for 2016-2020 had a great deal of overlap with those of 2011-2015, “some of the topics that came up were different. Some of the topics were more specific than in the previous agenda. We have some idea how important these issues were to rheumatologists, given that rheumatologists (and patients) rated the importance of the items. Defining new therapeutic targets and developing new therapies for rheumatic diseases was by far the most highly rated goal by rheumatologists. Next most highly rated was to advocate for increased support for rheumatology research and rheumatology investigators – this was included as a supplementary goal that supports the rest of the agenda. Other newer items were those around determining how the changing health care landscape affects rheumatology patients and clinicians. In addition, nonpharmacologic therapy, adult outcomes of pediatric disease, and optimizing patient engagement were topics that were felt to be important. I think these highlight the input of clinicians in identifying research objectives.”
The 2016-2020 agenda is the third set of goals developed by the committee since 2005, and the first to “crowdsource” the important questions to ACR and ARHP members rather than be assembled solely by the committee.
The agenda arose from a multistage process that began with a web-based survey to the ACR/ARHP membership that asked respondents to “list the five most important research questions that need to be addressed over the next 5 years in order to improve the care for patients with rheumatic disease.” A selected group of 100 individuals representing patients, clinicians (academic and community), research (all types with diverse areas/diseases of interest), allied health professionals, pediatric and adult rheumatology, men and women, all career stages, and all regions of the country, used a Delphi exercise to rate 30 statements generated from the survey on a scale from 1 (not important) to 10 (very important). They had the option to provide comments. At a Leadership Summit, stakeholders from various nonprofit foundations associated with rheumatic diseases, the National Institutes of Health, and the president of the Rheumatology Research Foundation gave comments on a draft agenda to the Committee on Research, after which the committee discussed the results and input and then solicited further 1-10 ratings and comments on preliminary agenda goals from the same group of 100 individuals as in the second phase, plus an additional 17 clinicians.
Up next in the rank-ordering after therapeutic goals were three goals about understanding:
• The etiology, pathogenesis, and genetic basis of rheumatic diseases.
• Early disease states to improve early diagnosis, develop biomarkers for early detection, and determine how earlier treatment changes outcomes.
• The immune system and autoimmunity by defining autoimmunity triggers and determining how epigenetics affect disease susceptibility and inflammation.
The 5-year plan proposed developing improved outcome measures that incorporate patient self-reports, imaging, and measures of clinical response and disease activity. The agenda also seeks to gain better understanding of how patients with rheumatic disease, rheumatologists, and rheumatology health professionals are being affected by the changing U.S. health care landscape.
The plan calls for determining the role of nonpharmacologic therapy in the management of rheumatic disease (promoting and improving adherence to physical activity, finding optimal exercise prescriptions, and determining the role of diet on disease activity), as well as evaluating the role of regenerative medicine.
The agenda spells out the need for better engagement of patients in their care as well as for understanding how comorbidities are influenced by rheumatic disease and how pain and fatigue arise in rheumatic disease.
In two separate goals, committee members listed the importance of determining adult outcomes of pediatric rheumatic diseases and the effect of aging on the development, progression, and management of rheumatic diseases.
The Committee on Research identified three supplemental goals that support the others:
• Advocating for increased support for rheumatology research and rheumatology investigators.
• Harmonizing data from existing cohorts and registries to optimize research capabilities.
• Improving patient research partner involvement in research protocols.
Therapeutic goals set the tone for the American College of Rheumatology National Research Agenda 2016-2020 by calling for the discovery and development of new therapies for rheumatic disease; finding predictors of response and nonresponse to, and adverse events from therapy; and improving the understanding of how therapies should be used.
Those are the top 3 out of 15 goals facilitated by the ACR’s Committee on Research, which finalized the agenda after seeking input from members of the ACR and Association of Rheumatology Health Professionals (ARHP) living in the United States, and going through several rounds of refining and prioritizing the importance of goals through the input of clinicians, researchers, patients, and stakeholders. The Committee on Research uses the agenda to “set the compass for the organization in terms of research initiatives and facilitate the ACR’s advocacy for the research goals identified.”
Dr. Alexis R. Ogdie-Beatty, who jointly led the development of the agenda for the Committee on Research along with Dr. S. Louis Bridges, said that while the goals for 2016-2020 had a great deal of overlap with those of 2011-2015, “some of the topics that came up were different. Some of the topics were more specific than in the previous agenda. We have some idea how important these issues were to rheumatologists, given that rheumatologists (and patients) rated the importance of the items. Defining new therapeutic targets and developing new therapies for rheumatic diseases was by far the most highly rated goal by rheumatologists. Next most highly rated was to advocate for increased support for rheumatology research and rheumatology investigators – this was included as a supplementary goal that supports the rest of the agenda. Other newer items were those around determining how the changing health care landscape affects rheumatology patients and clinicians. In addition, nonpharmacologic therapy, adult outcomes of pediatric disease, and optimizing patient engagement were topics that were felt to be important. I think these highlight the input of clinicians in identifying research objectives.”
The 2016-2020 agenda is the third set of goals developed by the committee since 2005, and the first to “crowdsource” the important questions to ACR and ARHP members rather than be assembled solely by the committee.
The agenda arose from a multistage process that began with a web-based survey to the ACR/ARHP membership that asked respondents to “list the five most important research questions that need to be addressed over the next 5 years in order to improve the care for patients with rheumatic disease.” A selected group of 100 individuals representing patients, clinicians (academic and community), research (all types with diverse areas/diseases of interest), allied health professionals, pediatric and adult rheumatology, men and women, all career stages, and all regions of the country, used a Delphi exercise to rate 30 statements generated from the survey on a scale from 1 (not important) to 10 (very important). They had the option to provide comments. At a Leadership Summit, stakeholders from various nonprofit foundations associated with rheumatic diseases, the National Institutes of Health, and the president of the Rheumatology Research Foundation gave comments on a draft agenda to the Committee on Research, after which the committee discussed the results and input and then solicited further 1-10 ratings and comments on preliminary agenda goals from the same group of 100 individuals as in the second phase, plus an additional 17 clinicians.
Up next in the rank-ordering after therapeutic goals were three goals about understanding:
• The etiology, pathogenesis, and genetic basis of rheumatic diseases.
• Early disease states to improve early diagnosis, develop biomarkers for early detection, and determine how earlier treatment changes outcomes.
• The immune system and autoimmunity by defining autoimmunity triggers and determining how epigenetics affect disease susceptibility and inflammation.
The 5-year plan proposed developing improved outcome measures that incorporate patient self-reports, imaging, and measures of clinical response and disease activity. The agenda also seeks to gain better understanding of how patients with rheumatic disease, rheumatologists, and rheumatology health professionals are being affected by the changing U.S. health care landscape.
The plan calls for determining the role of nonpharmacologic therapy in the management of rheumatic disease (promoting and improving adherence to physical activity, finding optimal exercise prescriptions, and determining the role of diet on disease activity), as well as evaluating the role of regenerative medicine.
The agenda spells out the need for better engagement of patients in their care as well as for understanding how comorbidities are influenced by rheumatic disease and how pain and fatigue arise in rheumatic disease.
In two separate goals, committee members listed the importance of determining adult outcomes of pediatric rheumatic diseases and the effect of aging on the development, progression, and management of rheumatic diseases.
The Committee on Research identified three supplemental goals that support the others:
• Advocating for increased support for rheumatology research and rheumatology investigators.
• Harmonizing data from existing cohorts and registries to optimize research capabilities.
• Improving patient research partner involvement in research protocols.
Therapeutic goals set the tone for the American College of Rheumatology National Research Agenda 2016-2020 by calling for the discovery and development of new therapies for rheumatic disease; finding predictors of response and nonresponse to, and adverse events from therapy; and improving the understanding of how therapies should be used.
Those are the top 3 out of 15 goals facilitated by the ACR’s Committee on Research, which finalized the agenda after seeking input from members of the ACR and Association of Rheumatology Health Professionals (ARHP) living in the United States, and going through several rounds of refining and prioritizing the importance of goals through the input of clinicians, researchers, patients, and stakeholders. The Committee on Research uses the agenda to “set the compass for the organization in terms of research initiatives and facilitate the ACR’s advocacy for the research goals identified.”
Dr. Alexis R. Ogdie-Beatty, who jointly led the development of the agenda for the Committee on Research along with Dr. S. Louis Bridges, said that while the goals for 2016-2020 had a great deal of overlap with those of 2011-2015, “some of the topics that came up were different. Some of the topics were more specific than in the previous agenda. We have some idea how important these issues were to rheumatologists, given that rheumatologists (and patients) rated the importance of the items. Defining new therapeutic targets and developing new therapies for rheumatic diseases was by far the most highly rated goal by rheumatologists. Next most highly rated was to advocate for increased support for rheumatology research and rheumatology investigators – this was included as a supplementary goal that supports the rest of the agenda. Other newer items were those around determining how the changing health care landscape affects rheumatology patients and clinicians. In addition, nonpharmacologic therapy, adult outcomes of pediatric disease, and optimizing patient engagement were topics that were felt to be important. I think these highlight the input of clinicians in identifying research objectives.”
The 2016-2020 agenda is the third set of goals developed by the committee since 2005, and the first to “crowdsource” the important questions to ACR and ARHP members rather than be assembled solely by the committee.
The agenda arose from a multistage process that began with a web-based survey to the ACR/ARHP membership that asked respondents to “list the five most important research questions that need to be addressed over the next 5 years in order to improve the care for patients with rheumatic disease.” A selected group of 100 individuals representing patients, clinicians (academic and community), research (all types with diverse areas/diseases of interest), allied health professionals, pediatric and adult rheumatology, men and women, all career stages, and all regions of the country, used a Delphi exercise to rate 30 statements generated from the survey on a scale from 1 (not important) to 10 (very important). They had the option to provide comments. At a Leadership Summit, stakeholders from various nonprofit foundations associated with rheumatic diseases, the National Institutes of Health, and the president of the Rheumatology Research Foundation gave comments on a draft agenda to the Committee on Research, after which the committee discussed the results and input and then solicited further 1-10 ratings and comments on preliminary agenda goals from the same group of 100 individuals as in the second phase, plus an additional 17 clinicians.
Up next in the rank-ordering after therapeutic goals were three goals about understanding:
• The etiology, pathogenesis, and genetic basis of rheumatic diseases.
• Early disease states to improve early diagnosis, develop biomarkers for early detection, and determine how earlier treatment changes outcomes.
• The immune system and autoimmunity by defining autoimmunity triggers and determining how epigenetics affect disease susceptibility and inflammation.
The 5-year plan proposed developing improved outcome measures that incorporate patient self-reports, imaging, and measures of clinical response and disease activity. The agenda also seeks to gain better understanding of how patients with rheumatic disease, rheumatologists, and rheumatology health professionals are being affected by the changing U.S. health care landscape.
The plan calls for determining the role of nonpharmacologic therapy in the management of rheumatic disease (promoting and improving adherence to physical activity, finding optimal exercise prescriptions, and determining the role of diet on disease activity), as well as evaluating the role of regenerative medicine.
The agenda spells out the need for better engagement of patients in their care as well as for understanding how comorbidities are influenced by rheumatic disease and how pain and fatigue arise in rheumatic disease.
In two separate goals, committee members listed the importance of determining adult outcomes of pediatric rheumatic diseases and the effect of aging on the development, progression, and management of rheumatic diseases.
The Committee on Research identified three supplemental goals that support the others:
• Advocating for increased support for rheumatology research and rheumatology investigators.
• Harmonizing data from existing cohorts and registries to optimize research capabilities.
• Improving patient research partner involvement in research protocols.
Risk factors identified for thrombosis in pediatric SLE
Pediatric patients with systemic lupus erythematosus may have greater odds for developing thrombosis if they have a history of vasculitis, antiphospholipid antibody positivity (aPL), and/or avascular necrosis (AVN), according to Dr. Kyla Driest and her associates.
Among 974 pediatric systemic lupus erythematosus (pSLE) patients in the CARRA (Childhood Arthritis & Rheumatology Research Alliance) registry cohort who had available data on thrombosis history, 24 (2.5%) had a history of arterial thrombosis and 35 (3.6%) had a history of venous thrombosis. The researchers conducted a multivariable analysis that found statistically higher odds of thrombosis (P less than .10) among patients with histories of AVN (odds ratio, 4.24; 95% confidence interval, 1.53-11.74), aPL (OR, 2.95; 95% CI, 1.38-6.28), and vasculitis (OR, 2.19; 95% CI, 1.03-4.77), whereas significantly lower odds occurred in patients with a history of renal disease (OR, 0.47; 95% CI, 0.24-0.92). Gender and body-mass index were not statistically significant.
“This study adds to our understanding of which pSLE patients are at the most risk for thrombosis,” the researchers concluded. “These results may prompt discussion concerning potential measures to prevent thrombosis in high-risk patients.”
Find the full study in Lupus (doi: 10.1177/0961203316638164).
Pediatric patients with systemic lupus erythematosus may have greater odds for developing thrombosis if they have a history of vasculitis, antiphospholipid antibody positivity (aPL), and/or avascular necrosis (AVN), according to Dr. Kyla Driest and her associates.
Among 974 pediatric systemic lupus erythematosus (pSLE) patients in the CARRA (Childhood Arthritis & Rheumatology Research Alliance) registry cohort who had available data on thrombosis history, 24 (2.5%) had a history of arterial thrombosis and 35 (3.6%) had a history of venous thrombosis. The researchers conducted a multivariable analysis that found statistically higher odds of thrombosis (P less than .10) among patients with histories of AVN (odds ratio, 4.24; 95% confidence interval, 1.53-11.74), aPL (OR, 2.95; 95% CI, 1.38-6.28), and vasculitis (OR, 2.19; 95% CI, 1.03-4.77), whereas significantly lower odds occurred in patients with a history of renal disease (OR, 0.47; 95% CI, 0.24-0.92). Gender and body-mass index were not statistically significant.
“This study adds to our understanding of which pSLE patients are at the most risk for thrombosis,” the researchers concluded. “These results may prompt discussion concerning potential measures to prevent thrombosis in high-risk patients.”
Find the full study in Lupus (doi: 10.1177/0961203316638164).
Pediatric patients with systemic lupus erythematosus may have greater odds for developing thrombosis if they have a history of vasculitis, antiphospholipid antibody positivity (aPL), and/or avascular necrosis (AVN), according to Dr. Kyla Driest and her associates.
Among 974 pediatric systemic lupus erythematosus (pSLE) patients in the CARRA (Childhood Arthritis & Rheumatology Research Alliance) registry cohort who had available data on thrombosis history, 24 (2.5%) had a history of arterial thrombosis and 35 (3.6%) had a history of venous thrombosis. The researchers conducted a multivariable analysis that found statistically higher odds of thrombosis (P less than .10) among patients with histories of AVN (odds ratio, 4.24; 95% confidence interval, 1.53-11.74), aPL (OR, 2.95; 95% CI, 1.38-6.28), and vasculitis (OR, 2.19; 95% CI, 1.03-4.77), whereas significantly lower odds occurred in patients with a history of renal disease (OR, 0.47; 95% CI, 0.24-0.92). Gender and body-mass index were not statistically significant.
“This study adds to our understanding of which pSLE patients are at the most risk for thrombosis,” the researchers concluded. “These results may prompt discussion concerning potential measures to prevent thrombosis in high-risk patients.”
Find the full study in Lupus (doi: 10.1177/0961203316638164).
FROM LUPUS
Continuous Chest Compressions Do Not Improve Outcome Compared to Chest Compressions Interrupted for Ventilation
Clinical question: In cardiopulmonary resuscitation, do continuous chest compressions improve survival or neurologic outcome compared to chest compressions interrupted for ventilation?
Background: Animal models have demonstrated that interruptions in chest compressions are associated with decreased survival and worse neurologic outcome in cardiac arrests. Observational studies in humans have suggested that for out-of-hospital cardiac arrests, continuous compressions result in improved survival.
Study Design: Unblinded, randomized, cluster design with crossover.
Setting: One hundred fourteen emergency medical service (EMS) agencies across eight clinical sites in North America.
Synopsis: Patients with out-of-hospital cardiac arrest received either continuous chest compressions with asynchronous positive-pressure ventilations or interrupted compressions at a rate of 30 compressions to two ventilations. EMS agencies were divided into clusters and randomly assigned to deliver either resuscitation strategy. Twice per year, each cluster switched treatment strategies.
During the active enrollment phase, 12,653 patients were enrolled in the intervention arm and 11,058 were enrolled in the control arm. The primary outcome of survival to hospital discharge was comparable between the two groups, with 9.0% survival rate in the intervention group as compared to 9.7% in the control group (P=0.07). The secondary outcome of survivorship with favorable neurologic status was similar at 7.0% in the intervention group and 7.7% in the control group.
There was only a small difference in the proportion of minutes devoted to compressions between the two groups, so the similarity in outcomes may be reflective of high-quality chest compressions. Additional limitations include a lack of standardization of post-resuscitation care and a lack of measurement of oxygen or ventilation delivered.
Bottom line: For out-of-hospital cardiac arrests, continuous chest compressions with positive-pressure ventilation did not increase survival or improve neurologic outcome compared to interrupted chest compressions.
Citation: Nichol G, Lerou B, Wang H, et al. Trial of continuous or interrupted chest compressions during CPR. N Engl J Med. 2015;373(23):2203-2214.
Clinical question: In cardiopulmonary resuscitation, do continuous chest compressions improve survival or neurologic outcome compared to chest compressions interrupted for ventilation?
Background: Animal models have demonstrated that interruptions in chest compressions are associated with decreased survival and worse neurologic outcome in cardiac arrests. Observational studies in humans have suggested that for out-of-hospital cardiac arrests, continuous compressions result in improved survival.
Study Design: Unblinded, randomized, cluster design with crossover.
Setting: One hundred fourteen emergency medical service (EMS) agencies across eight clinical sites in North America.
Synopsis: Patients with out-of-hospital cardiac arrest received either continuous chest compressions with asynchronous positive-pressure ventilations or interrupted compressions at a rate of 30 compressions to two ventilations. EMS agencies were divided into clusters and randomly assigned to deliver either resuscitation strategy. Twice per year, each cluster switched treatment strategies.
During the active enrollment phase, 12,653 patients were enrolled in the intervention arm and 11,058 were enrolled in the control arm. The primary outcome of survival to hospital discharge was comparable between the two groups, with 9.0% survival rate in the intervention group as compared to 9.7% in the control group (P=0.07). The secondary outcome of survivorship with favorable neurologic status was similar at 7.0% in the intervention group and 7.7% in the control group.
There was only a small difference in the proportion of minutes devoted to compressions between the two groups, so the similarity in outcomes may be reflective of high-quality chest compressions. Additional limitations include a lack of standardization of post-resuscitation care and a lack of measurement of oxygen or ventilation delivered.
Bottom line: For out-of-hospital cardiac arrests, continuous chest compressions with positive-pressure ventilation did not increase survival or improve neurologic outcome compared to interrupted chest compressions.
Citation: Nichol G, Lerou B, Wang H, et al. Trial of continuous or interrupted chest compressions during CPR. N Engl J Med. 2015;373(23):2203-2214.
Clinical question: In cardiopulmonary resuscitation, do continuous chest compressions improve survival or neurologic outcome compared to chest compressions interrupted for ventilation?
Background: Animal models have demonstrated that interruptions in chest compressions are associated with decreased survival and worse neurologic outcome in cardiac arrests. Observational studies in humans have suggested that for out-of-hospital cardiac arrests, continuous compressions result in improved survival.
Study Design: Unblinded, randomized, cluster design with crossover.
Setting: One hundred fourteen emergency medical service (EMS) agencies across eight clinical sites in North America.
Synopsis: Patients with out-of-hospital cardiac arrest received either continuous chest compressions with asynchronous positive-pressure ventilations or interrupted compressions at a rate of 30 compressions to two ventilations. EMS agencies were divided into clusters and randomly assigned to deliver either resuscitation strategy. Twice per year, each cluster switched treatment strategies.
During the active enrollment phase, 12,653 patients were enrolled in the intervention arm and 11,058 were enrolled in the control arm. The primary outcome of survival to hospital discharge was comparable between the two groups, with 9.0% survival rate in the intervention group as compared to 9.7% in the control group (P=0.07). The secondary outcome of survivorship with favorable neurologic status was similar at 7.0% in the intervention group and 7.7% in the control group.
There was only a small difference in the proportion of minutes devoted to compressions between the two groups, so the similarity in outcomes may be reflective of high-quality chest compressions. Additional limitations include a lack of standardization of post-resuscitation care and a lack of measurement of oxygen or ventilation delivered.
Bottom line: For out-of-hospital cardiac arrests, continuous chest compressions with positive-pressure ventilation did not increase survival or improve neurologic outcome compared to interrupted chest compressions.
Citation: Nichol G, Lerou B, Wang H, et al. Trial of continuous or interrupted chest compressions during CPR. N Engl J Med. 2015;373(23):2203-2214.
ATRIA Better at Predicting Stroke Risk in Patients with Atrial Fibrillation Than CHADS2, CHA2DS2-VAS
Clinical question: Does the Anticoagulation and Risk Factors in Atrial Fibrillation (ATRIA) risk score more accurately identify patients with atrial fibrillation (Afib) who are at low risk for ischemic stroke than the CHADS2 or CHA2DS2-VASc score?
Background: More accurate and reliable stroke risk prediction tools are needed to optimize anticoagulation decision making in patients with Afib. Recently, a new clinically based risk score, the ATRIA, has been developed and validated. This risk score assigns points based on four age categories (as well as an interaction of age and prior stroke); female gender; renal function; and history of diabetes, congestive heart failure, and hypertension. This study compared the predictive ability of the ATRIA risk score with the CHADS2 and CHA2DS2-VASc risk scores and their implications for anticoagulant treatment in Afib patients.
Study Design: Retrospective cohort study.
Setting: Afib patients not using warfarin from the United Kingdom’s Clinical Practice Research Datalink (CPRD) database, January 1998 to January 2012.
Synopsis: A total of 60,594 patients with Afib were followed until occurrence of ischemic stroke, prescription of warfarin, death, or the study’s end. The annualized stroke rate was 2.99%. Patients with moderate and high-risk CHA2DS2-VASc scores had lower event rates than those with corresponding ATRIA and CHADS2 scores. C-statistics for full point scores were 0.70 (95% CI, 0.69–0.71) for ATRIA and 0.68 (95% CI, 0.67–0.69) for both CHADS2 and CHA2DS2-VASc scores. The net reclassification index of ATRIA compared with CHADS2 and CHA2DS2-VASc risk scores were 0.137 and 0.233, respectively, reflecting that the ATRIA risk score better categorizes patients developing an event.
ATRIA risk score more accurately identified low-risk patients than the CHA2DS2-VASc score assigned to higher-risk categories. The results persisted even after restricting analysis to more recent follow-up, excluding unspecified strokes and excluding renal dysfunction as a predictor. Most improvements with ATRIA were the result of “down classification,” suggesting that using the CHA2DS2-VASc risk score could lead to overtreatment of patients at very low risk of stroke.
Bottom line: The ATRIA risk score better identifies Afib patients who are at low risk for stroke compared to CHADS2 and CHA2DS2-VASc scores.
Citation: van den Ham HA, Klungel OH, Singer DE, Leufkens HG, van Staa TP. Comparative performance of ATRIA, CHADS2, and CHA2DS2-VASc risk scores predicting stroke in patients with atrial fibrillation: results from a national primary care database. J Am Coll Cardiol. 2015;66(17):1851-1959.
Clinical question: Does the Anticoagulation and Risk Factors in Atrial Fibrillation (ATRIA) risk score more accurately identify patients with atrial fibrillation (Afib) who are at low risk for ischemic stroke than the CHADS2 or CHA2DS2-VASc score?
Background: More accurate and reliable stroke risk prediction tools are needed to optimize anticoagulation decision making in patients with Afib. Recently, a new clinically based risk score, the ATRIA, has been developed and validated. This risk score assigns points based on four age categories (as well as an interaction of age and prior stroke); female gender; renal function; and history of diabetes, congestive heart failure, and hypertension. This study compared the predictive ability of the ATRIA risk score with the CHADS2 and CHA2DS2-VASc risk scores and their implications for anticoagulant treatment in Afib patients.
Study Design: Retrospective cohort study.
Setting: Afib patients not using warfarin from the United Kingdom’s Clinical Practice Research Datalink (CPRD) database, January 1998 to January 2012.
Synopsis: A total of 60,594 patients with Afib were followed until occurrence of ischemic stroke, prescription of warfarin, death, or the study’s end. The annualized stroke rate was 2.99%. Patients with moderate and high-risk CHA2DS2-VASc scores had lower event rates than those with corresponding ATRIA and CHADS2 scores. C-statistics for full point scores were 0.70 (95% CI, 0.69–0.71) for ATRIA and 0.68 (95% CI, 0.67–0.69) for both CHADS2 and CHA2DS2-VASc scores. The net reclassification index of ATRIA compared with CHADS2 and CHA2DS2-VASc risk scores were 0.137 and 0.233, respectively, reflecting that the ATRIA risk score better categorizes patients developing an event.
ATRIA risk score more accurately identified low-risk patients than the CHA2DS2-VASc score assigned to higher-risk categories. The results persisted even after restricting analysis to more recent follow-up, excluding unspecified strokes and excluding renal dysfunction as a predictor. Most improvements with ATRIA were the result of “down classification,” suggesting that using the CHA2DS2-VASc risk score could lead to overtreatment of patients at very low risk of stroke.
Bottom line: The ATRIA risk score better identifies Afib patients who are at low risk for stroke compared to CHADS2 and CHA2DS2-VASc scores.
Citation: van den Ham HA, Klungel OH, Singer DE, Leufkens HG, van Staa TP. Comparative performance of ATRIA, CHADS2, and CHA2DS2-VASc risk scores predicting stroke in patients with atrial fibrillation: results from a national primary care database. J Am Coll Cardiol. 2015;66(17):1851-1959.
Clinical question: Does the Anticoagulation and Risk Factors in Atrial Fibrillation (ATRIA) risk score more accurately identify patients with atrial fibrillation (Afib) who are at low risk for ischemic stroke than the CHADS2 or CHA2DS2-VASc score?
Background: More accurate and reliable stroke risk prediction tools are needed to optimize anticoagulation decision making in patients with Afib. Recently, a new clinically based risk score, the ATRIA, has been developed and validated. This risk score assigns points based on four age categories (as well as an interaction of age and prior stroke); female gender; renal function; and history of diabetes, congestive heart failure, and hypertension. This study compared the predictive ability of the ATRIA risk score with the CHADS2 and CHA2DS2-VASc risk scores and their implications for anticoagulant treatment in Afib patients.
Study Design: Retrospective cohort study.
Setting: Afib patients not using warfarin from the United Kingdom’s Clinical Practice Research Datalink (CPRD) database, January 1998 to January 2012.
Synopsis: A total of 60,594 patients with Afib were followed until occurrence of ischemic stroke, prescription of warfarin, death, or the study’s end. The annualized stroke rate was 2.99%. Patients with moderate and high-risk CHA2DS2-VASc scores had lower event rates than those with corresponding ATRIA and CHADS2 scores. C-statistics for full point scores were 0.70 (95% CI, 0.69–0.71) for ATRIA and 0.68 (95% CI, 0.67–0.69) for both CHADS2 and CHA2DS2-VASc scores. The net reclassification index of ATRIA compared with CHADS2 and CHA2DS2-VASc risk scores were 0.137 and 0.233, respectively, reflecting that the ATRIA risk score better categorizes patients developing an event.
ATRIA risk score more accurately identified low-risk patients than the CHA2DS2-VASc score assigned to higher-risk categories. The results persisted even after restricting analysis to more recent follow-up, excluding unspecified strokes and excluding renal dysfunction as a predictor. Most improvements with ATRIA were the result of “down classification,” suggesting that using the CHA2DS2-VASc risk score could lead to overtreatment of patients at very low risk of stroke.
Bottom line: The ATRIA risk score better identifies Afib patients who are at low risk for stroke compared to CHADS2 and CHA2DS2-VASc scores.
Citation: van den Ham HA, Klungel OH, Singer DE, Leufkens HG, van Staa TP. Comparative performance of ATRIA, CHADS2, and CHA2DS2-VASc risk scores predicting stroke in patients with atrial fibrillation: results from a national primary care database. J Am Coll Cardiol. 2015;66(17):1851-1959.
Drug may best BSC in some high-risk MDS patients
Results of a phase 3 trial suggest the small-molecule inhibitor rigosertib may improve overall survival (OS) in some patients with higher-risk myelodysplastic syndromes (HR-MDS).
Overall, researchers found no significant difference in OS between patients who received rigosertib and those who received best supportive care (BSC).
However, the data indicate that rigosertib can confer a survival benefit in certain subgroups of HR-MDS patients.
The results of this trial, known as ONTIME, were published in The Lancet Oncology. The trial was sponsored by Onconova Therapeutics, Inc., the company developing rigosertib.
The trial enrolled 299 HR-MDS patients. They had refractory anemia with excess blasts (RAEB)-1, RAEB-2, RAEB-t, or chronic myelomonocytic leukemia based on local site assessment. They had all failed treatment with a hypomethylating agent (HMA) in the past 2 years.
The patients were randomized (2:1) to receive rigosertib at 1800 mg per 24 hours via 72-hour continuous intravenous (IV) infusion, administered every other week (n=199), or BSC with or without low-dose cytarabine (n=100).
At a median follow-up of 19.5 months, there was no significant difference in OS between the treatment arms. The median OS was 8.2 months in the rigosertib arm and 5.9 months in the BSC arm. The hazard ratio (HR) was 0.87 (P=0.33).
However, the researchers said that subgroup analyses suggested rigosertib may provide a survival benefit over BSC in some HR-MDS patients. This includes:
- Patients younger than 75 years of age (HR=0.55, P=0.0010)
- Patients who received HMA therapy for 9 months or fewer (HR=0.54, P=0.0016)
- Patients with primary, rather than secondary, HMA failure (HR=0.72, P=0.060)
- Patients who were classified as “very high risk” according to the Revised International Prognostic Scoring System (HR=0.61, P=0.015)
- Patients with monosomy 7 (HR=0.26, P=0.0041)
- Patients with trisomy 8 (HR=0.28, P=0.0083).
The most common grade 3 or higher adverse events—in the rigosertib and BSC arms, respectively—were anemia (18% vs 8%), thrombocytopenia (19% vs 7%), neutropenia (17% vs 8%), febrile neutropenia (12% vs 11%), and pneumonia (12% vs 11%).
Twenty-two percent of patients in the rigosertib arm and 33% in the BSC arm died due to adverse events. Three deaths were attributed to rigosertib.
“Rigosertib was well-tolerated in patients with a high unmet medical need who have no approved therapeutic options,” said study author Guillermo Garcia-Manero, MD, of The University of Texas MD Anderson Cancer Center in Houston.
“We are impressed by the trend to notable efficacy in well-defined, well-balanced subgroups of HR-MDS patients with very poor prognosis. Based on these findings, we have designed the new phase 3 INSPIRE study with IV rigosertib, which is currently enrolling patients.”
INSPIRE is a randomized, controlled study designed to assess the efficacy and safety of IV rigosertib in HR-MDS patients under 80 years of age who had progressed on, failed to respond to, or relapsed after previous treatment with an HMA within the first 9 months of HMA treatment initiation.
The trial is expected to enroll approximately 225 patients, who will be randomized at a 2:1 ratio into 2 treatment arms: IV rigosertib plus BSC versus physician’s choice plus BSC. The primary endpoint is OS. Full details on the trial can be found on clinicaltrials.gov (NCT02562443).
Results of a phase 3 trial suggest the small-molecule inhibitor rigosertib may improve overall survival (OS) in some patients with higher-risk myelodysplastic syndromes (HR-MDS).
Overall, researchers found no significant difference in OS between patients who received rigosertib and those who received best supportive care (BSC).
However, the data indicate that rigosertib can confer a survival benefit in certain subgroups of HR-MDS patients.
The results of this trial, known as ONTIME, were published in The Lancet Oncology. The trial was sponsored by Onconova Therapeutics, Inc., the company developing rigosertib.
The trial enrolled 299 HR-MDS patients. They had refractory anemia with excess blasts (RAEB)-1, RAEB-2, RAEB-t, or chronic myelomonocytic leukemia based on local site assessment. They had all failed treatment with a hypomethylating agent (HMA) in the past 2 years.
The patients were randomized (2:1) to receive rigosertib at 1800 mg per 24 hours via 72-hour continuous intravenous (IV) infusion, administered every other week (n=199), or BSC with or without low-dose cytarabine (n=100).
At a median follow-up of 19.5 months, there was no significant difference in OS between the treatment arms. The median OS was 8.2 months in the rigosertib arm and 5.9 months in the BSC arm. The hazard ratio (HR) was 0.87 (P=0.33).
However, the researchers said that subgroup analyses suggested rigosertib may provide a survival benefit over BSC in some HR-MDS patients. This includes:
- Patients younger than 75 years of age (HR=0.55, P=0.0010)
- Patients who received HMA therapy for 9 months or fewer (HR=0.54, P=0.0016)
- Patients with primary, rather than secondary, HMA failure (HR=0.72, P=0.060)
- Patients who were classified as “very high risk” according to the Revised International Prognostic Scoring System (HR=0.61, P=0.015)
- Patients with monosomy 7 (HR=0.26, P=0.0041)
- Patients with trisomy 8 (HR=0.28, P=0.0083).
The most common grade 3 or higher adverse events—in the rigosertib and BSC arms, respectively—were anemia (18% vs 8%), thrombocytopenia (19% vs 7%), neutropenia (17% vs 8%), febrile neutropenia (12% vs 11%), and pneumonia (12% vs 11%).
Twenty-two percent of patients in the rigosertib arm and 33% in the BSC arm died due to adverse events. Three deaths were attributed to rigosertib.
“Rigosertib was well-tolerated in patients with a high unmet medical need who have no approved therapeutic options,” said study author Guillermo Garcia-Manero, MD, of The University of Texas MD Anderson Cancer Center in Houston.
“We are impressed by the trend to notable efficacy in well-defined, well-balanced subgroups of HR-MDS patients with very poor prognosis. Based on these findings, we have designed the new phase 3 INSPIRE study with IV rigosertib, which is currently enrolling patients.”
INSPIRE is a randomized, controlled study designed to assess the efficacy and safety of IV rigosertib in HR-MDS patients under 80 years of age who had progressed on, failed to respond to, or relapsed after previous treatment with an HMA within the first 9 months of HMA treatment initiation.
The trial is expected to enroll approximately 225 patients, who will be randomized at a 2:1 ratio into 2 treatment arms: IV rigosertib plus BSC versus physician’s choice plus BSC. The primary endpoint is OS. Full details on the trial can be found on clinicaltrials.gov (NCT02562443).
Results of a phase 3 trial suggest the small-molecule inhibitor rigosertib may improve overall survival (OS) in some patients with higher-risk myelodysplastic syndromes (HR-MDS).
Overall, researchers found no significant difference in OS between patients who received rigosertib and those who received best supportive care (BSC).
However, the data indicate that rigosertib can confer a survival benefit in certain subgroups of HR-MDS patients.
The results of this trial, known as ONTIME, were published in The Lancet Oncology. The trial was sponsored by Onconova Therapeutics, Inc., the company developing rigosertib.
The trial enrolled 299 HR-MDS patients. They had refractory anemia with excess blasts (RAEB)-1, RAEB-2, RAEB-t, or chronic myelomonocytic leukemia based on local site assessment. They had all failed treatment with a hypomethylating agent (HMA) in the past 2 years.
The patients were randomized (2:1) to receive rigosertib at 1800 mg per 24 hours via 72-hour continuous intravenous (IV) infusion, administered every other week (n=199), or BSC with or without low-dose cytarabine (n=100).
At a median follow-up of 19.5 months, there was no significant difference in OS between the treatment arms. The median OS was 8.2 months in the rigosertib arm and 5.9 months in the BSC arm. The hazard ratio (HR) was 0.87 (P=0.33).
However, the researchers said that subgroup analyses suggested rigosertib may provide a survival benefit over BSC in some HR-MDS patients. This includes:
- Patients younger than 75 years of age (HR=0.55, P=0.0010)
- Patients who received HMA therapy for 9 months or fewer (HR=0.54, P=0.0016)
- Patients with primary, rather than secondary, HMA failure (HR=0.72, P=0.060)
- Patients who were classified as “very high risk” according to the Revised International Prognostic Scoring System (HR=0.61, P=0.015)
- Patients with monosomy 7 (HR=0.26, P=0.0041)
- Patients with trisomy 8 (HR=0.28, P=0.0083).
The most common grade 3 or higher adverse events—in the rigosertib and BSC arms, respectively—were anemia (18% vs 8%), thrombocytopenia (19% vs 7%), neutropenia (17% vs 8%), febrile neutropenia (12% vs 11%), and pneumonia (12% vs 11%).
Twenty-two percent of patients in the rigosertib arm and 33% in the BSC arm died due to adverse events. Three deaths were attributed to rigosertib.
“Rigosertib was well-tolerated in patients with a high unmet medical need who have no approved therapeutic options,” said study author Guillermo Garcia-Manero, MD, of The University of Texas MD Anderson Cancer Center in Houston.
“We are impressed by the trend to notable efficacy in well-defined, well-balanced subgroups of HR-MDS patients with very poor prognosis. Based on these findings, we have designed the new phase 3 INSPIRE study with IV rigosertib, which is currently enrolling patients.”
INSPIRE is a randomized, controlled study designed to assess the efficacy and safety of IV rigosertib in HR-MDS patients under 80 years of age who had progressed on, failed to respond to, or relapsed after previous treatment with an HMA within the first 9 months of HMA treatment initiation.
The trial is expected to enroll approximately 225 patients, who will be randomized at a 2:1 ratio into 2 treatment arms: IV rigosertib plus BSC versus physician’s choice plus BSC. The primary endpoint is OS. Full details on the trial can be found on clinicaltrials.gov (NCT02562443).
FDA approves product for hemophilia A
Photo by Bill Branson
The US Food and Drug Administration (FDA) has approved the recombinant antihemophilic factor Kovaltry for the treatment of adults and children with hemophilia A.
Kovaltry is an unmodified, full-length factor VIII compound indicated for on-demand treatment and control of bleeding episodes, perioperative management of bleeding, and routine prophylaxis to reduce the frequency of bleeding episodes.
Dosing of Kovaltry should be individualized based on each patient’s clinical response.
The recommended dosing for adults and adolescents is 20 to 40 IU per kg of body weight 2 or 3 times per week. The recommended dosing for children age 12 and younger is 25 to 50 IU per kg of body weight twice weekly, 3 times weekly, or every other day, according to individual requirements.
For more details, see the full prescribing information.
The FDA’s approval of Kovaltry is based on results from the LEOPOLD trials—3 multinational trials of patients with severe hemophilia A. The trials were supported by Bayer HealthCare AG, the company developing Kovaltry.
LEOPOLD I
LEOPOLD I is an open-label, cross-over, phase 3 study of males, ages 12 to 65, with severe hemophilia A. Sixty-two patients were assigned to either 2- or 3-times-weekly dosing with Kovaltry, based on each patient’s phenotype, prior bleeding history, and other factors.
The median annualized bleeding rate (ABR) was 1.0 for all the patients who received Kovaltry prophylaxis, 1.0 for patients who received twice-weekly prophylaxis, and 2.0 for patients who received thrice-weekly prophylaxis.
LEOPOLD II
LEOPOLD II is a randomized, cross-over, open-label trial conducted in males ages 12 to 65. In this phase 3 study, 80 subjects were randomized to receive Kovaltry as a low-dose prophylaxis regimen (n=28) twice per week, high-dose prophylaxis (n=31) 3 times a week, or on-demand treatment (n=21).
The median ABR was significantly lower in patients who received either prophylactic regimen than those who received on-demand treatment—2.0 and 60.0, respectively (P<0.0001). The median ABR was 4.0 for patients who received twice-weekly prophylaxis and 2.0 for patients who received thrice-weekly prophylaxis.
LEOPOLD Kids
LEOPOLD Kids is an open-label, non-randomized, phase 3 study designed to evaluate Kovaltry in children age 12 and younger. The study is divided into 2 parts. Part A enrolled only previously treated children, and part B, which is ongoing, includes only untreated children.
For part A, 51 children received Kovaltry twice a week, 3 times a week, or every other day (according to investigator decision) for at least 50 exposure days. The median ABR within 48 hours of prophylactic injection was 0, and the median ABR independent of the time of injection was 1.9.
Safety results
For all 3 trials, 193 patients were evaluable for safety. Adverse reactions were defined as treatment-emergent adverse events with at least a reasonable suspected causal relationship to Kovaltry.
The researchers said the frequency, type, and severity of adverse reactions in children were similar to those observed in adults and adolescents.
The adverse reactions included headache (7.3%), pyrexia (4.1%), pruritus (3.1%), injection site reactions (2.6%), insomnia (2.6%), rash (2.6%), abdominal pain (2.1%), dyspepsia (2.1%), abdominal discomfort (1.6%), lymphadenopathy (1%), dizziness (1%), allergic dermatitis (1%), heart palpitations (1%), sinus tachycardia (1%), chest discomfort (1%), hypersensitivity (0.5%), dysgeusia (0.5%), urticaria (0.5%), and flushing (0.5%).
None of the patients developed factor VIII inhibitors.
Photo by Bill Branson
The US Food and Drug Administration (FDA) has approved the recombinant antihemophilic factor Kovaltry for the treatment of adults and children with hemophilia A.
Kovaltry is an unmodified, full-length factor VIII compound indicated for on-demand treatment and control of bleeding episodes, perioperative management of bleeding, and routine prophylaxis to reduce the frequency of bleeding episodes.
Dosing of Kovaltry should be individualized based on each patient’s clinical response.
The recommended dosing for adults and adolescents is 20 to 40 IU per kg of body weight 2 or 3 times per week. The recommended dosing for children age 12 and younger is 25 to 50 IU per kg of body weight twice weekly, 3 times weekly, or every other day, according to individual requirements.
For more details, see the full prescribing information.
The FDA’s approval of Kovaltry is based on results from the LEOPOLD trials—3 multinational trials of patients with severe hemophilia A. The trials were supported by Bayer HealthCare AG, the company developing Kovaltry.
LEOPOLD I
LEOPOLD I is an open-label, cross-over, phase 3 study of males, ages 12 to 65, with severe hemophilia A. Sixty-two patients were assigned to either 2- or 3-times-weekly dosing with Kovaltry, based on each patient’s phenotype, prior bleeding history, and other factors.
The median annualized bleeding rate (ABR) was 1.0 for all the patients who received Kovaltry prophylaxis, 1.0 for patients who received twice-weekly prophylaxis, and 2.0 for patients who received thrice-weekly prophylaxis.
LEOPOLD II
LEOPOLD II is a randomized, cross-over, open-label trial conducted in males ages 12 to 65. In this phase 3 study, 80 subjects were randomized to receive Kovaltry as a low-dose prophylaxis regimen (n=28) twice per week, high-dose prophylaxis (n=31) 3 times a week, or on-demand treatment (n=21).
The median ABR was significantly lower in patients who received either prophylactic regimen than those who received on-demand treatment—2.0 and 60.0, respectively (P<0.0001). The median ABR was 4.0 for patients who received twice-weekly prophylaxis and 2.0 for patients who received thrice-weekly prophylaxis.
LEOPOLD Kids
LEOPOLD Kids is an open-label, non-randomized, phase 3 study designed to evaluate Kovaltry in children age 12 and younger. The study is divided into 2 parts. Part A enrolled only previously treated children, and part B, which is ongoing, includes only untreated children.
For part A, 51 children received Kovaltry twice a week, 3 times a week, or every other day (according to investigator decision) for at least 50 exposure days. The median ABR within 48 hours of prophylactic injection was 0, and the median ABR independent of the time of injection was 1.9.
Safety results
For all 3 trials, 193 patients were evaluable for safety. Adverse reactions were defined as treatment-emergent adverse events with at least a reasonable suspected causal relationship to Kovaltry.
The researchers said the frequency, type, and severity of adverse reactions in children were similar to those observed in adults and adolescents.
The adverse reactions included headache (7.3%), pyrexia (4.1%), pruritus (3.1%), injection site reactions (2.6%), insomnia (2.6%), rash (2.6%), abdominal pain (2.1%), dyspepsia (2.1%), abdominal discomfort (1.6%), lymphadenopathy (1%), dizziness (1%), allergic dermatitis (1%), heart palpitations (1%), sinus tachycardia (1%), chest discomfort (1%), hypersensitivity (0.5%), dysgeusia (0.5%), urticaria (0.5%), and flushing (0.5%).
None of the patients developed factor VIII inhibitors.
Photo by Bill Branson
The US Food and Drug Administration (FDA) has approved the recombinant antihemophilic factor Kovaltry for the treatment of adults and children with hemophilia A.
Kovaltry is an unmodified, full-length factor VIII compound indicated for on-demand treatment and control of bleeding episodes, perioperative management of bleeding, and routine prophylaxis to reduce the frequency of bleeding episodes.
Dosing of Kovaltry should be individualized based on each patient’s clinical response.
The recommended dosing for adults and adolescents is 20 to 40 IU per kg of body weight 2 or 3 times per week. The recommended dosing for children age 12 and younger is 25 to 50 IU per kg of body weight twice weekly, 3 times weekly, or every other day, according to individual requirements.
For more details, see the full prescribing information.
The FDA’s approval of Kovaltry is based on results from the LEOPOLD trials—3 multinational trials of patients with severe hemophilia A. The trials were supported by Bayer HealthCare AG, the company developing Kovaltry.
LEOPOLD I
LEOPOLD I is an open-label, cross-over, phase 3 study of males, ages 12 to 65, with severe hemophilia A. Sixty-two patients were assigned to either 2- or 3-times-weekly dosing with Kovaltry, based on each patient’s phenotype, prior bleeding history, and other factors.
The median annualized bleeding rate (ABR) was 1.0 for all the patients who received Kovaltry prophylaxis, 1.0 for patients who received twice-weekly prophylaxis, and 2.0 for patients who received thrice-weekly prophylaxis.
LEOPOLD II
LEOPOLD II is a randomized, cross-over, open-label trial conducted in males ages 12 to 65. In this phase 3 study, 80 subjects were randomized to receive Kovaltry as a low-dose prophylaxis regimen (n=28) twice per week, high-dose prophylaxis (n=31) 3 times a week, or on-demand treatment (n=21).
The median ABR was significantly lower in patients who received either prophylactic regimen than those who received on-demand treatment—2.0 and 60.0, respectively (P<0.0001). The median ABR was 4.0 for patients who received twice-weekly prophylaxis and 2.0 for patients who received thrice-weekly prophylaxis.
LEOPOLD Kids
LEOPOLD Kids is an open-label, non-randomized, phase 3 study designed to evaluate Kovaltry in children age 12 and younger. The study is divided into 2 parts. Part A enrolled only previously treated children, and part B, which is ongoing, includes only untreated children.
For part A, 51 children received Kovaltry twice a week, 3 times a week, or every other day (according to investigator decision) for at least 50 exposure days. The median ABR within 48 hours of prophylactic injection was 0, and the median ABR independent of the time of injection was 1.9.
Safety results
For all 3 trials, 193 patients were evaluable for safety. Adverse reactions were defined as treatment-emergent adverse events with at least a reasonable suspected causal relationship to Kovaltry.
The researchers said the frequency, type, and severity of adverse reactions in children were similar to those observed in adults and adolescents.
The adverse reactions included headache (7.3%), pyrexia (4.1%), pruritus (3.1%), injection site reactions (2.6%), insomnia (2.6%), rash (2.6%), abdominal pain (2.1%), dyspepsia (2.1%), abdominal discomfort (1.6%), lymphadenopathy (1%), dizziness (1%), allergic dermatitis (1%), heart palpitations (1%), sinus tachycardia (1%), chest discomfort (1%), hypersensitivity (0.5%), dysgeusia (0.5%), urticaria (0.5%), and flushing (0.5%).
None of the patients developed factor VIII inhibitors.
Inhibitor exhibits activity against resistant AML
Preclinical research indicates that a novel inhibitor can overcome resistance-conferring FLT3 mutations in acute myeloid leukemia (AML).
The MERTK/FLT3 inhibitor MRX-2843 induced apoptosis and inhibited colony formation in AML cell lines and primary patient samples expressing MERTK and/or FLT3-ITD.
MRX-2843 also improved survival in mouse models of AML, including cases where tumors were resistant to the FLT3 inhibitor quizartinib.
Douglas Graham, MD, PhD, of the University of Colorado in Aurora, and his colleagues conducted this research and reported the results in JCI Insight.
The researchers previously showed that the receptor tyrosine kinase MERTK is overexpressed in 80% to 90% of AMLs and contributes to leukemogenesis.
With the current study, they showed that MRX-2843 abrogates activation of MERTK, FLT3, and their downstream effectors. And this translates to antileukemic activity in vitro and in vivo.
MRX-2843 inhibited MERTK signaling, induced cell death, and abolished oncogenic phenotypes in AML cells. The drug also exhibited therapeutic activity in a MERTK-dependent xenograft model.
MRX-2843 was able to stop the activation of FLT3 and its signaling pathways almost completely. The researchers said this suggests the drug has somewhat higher cellular potency against FLT3 relative to MERTK.
In mouse models of FLT3-ITD AML, MRX-2843 significantly prolonged survival when compared to vehicle control.
The researchers also said MRX-2843 selectively inhibited colony formation in primary AML patient samples. Primary human MERTK-expressing leukemic blasts, with or without FLT3-ITD mutations, proved sensitive to treatment with MRX-2843.
In addition, MRX-2843 increased survival and decreased peripheral disease burden in patient-derived xenograft models of AML—both MERTK+FLT3-WT and MERTK+FLT3-ITD models.
Finally, the researchers found that MRX-2843 was active against quizartinib-resistant FLT3-mutant proteins, induced apoptosis and inhibited colony formation in quizartinib-resistant FLT3-ITD cell lines, and prolonged survival in quizartinib-resistant FLT3-ITD xenograft models.
Preclinical research indicates that a novel inhibitor can overcome resistance-conferring FLT3 mutations in acute myeloid leukemia (AML).
The MERTK/FLT3 inhibitor MRX-2843 induced apoptosis and inhibited colony formation in AML cell lines and primary patient samples expressing MERTK and/or FLT3-ITD.
MRX-2843 also improved survival in mouse models of AML, including cases where tumors were resistant to the FLT3 inhibitor quizartinib.
Douglas Graham, MD, PhD, of the University of Colorado in Aurora, and his colleagues conducted this research and reported the results in JCI Insight.
The researchers previously showed that the receptor tyrosine kinase MERTK is overexpressed in 80% to 90% of AMLs and contributes to leukemogenesis.
With the current study, they showed that MRX-2843 abrogates activation of MERTK, FLT3, and their downstream effectors. And this translates to antileukemic activity in vitro and in vivo.
MRX-2843 inhibited MERTK signaling, induced cell death, and abolished oncogenic phenotypes in AML cells. The drug also exhibited therapeutic activity in a MERTK-dependent xenograft model.
MRX-2843 was able to stop the activation of FLT3 and its signaling pathways almost completely. The researchers said this suggests the drug has somewhat higher cellular potency against FLT3 relative to MERTK.
In mouse models of FLT3-ITD AML, MRX-2843 significantly prolonged survival when compared to vehicle control.
The researchers also said MRX-2843 selectively inhibited colony formation in primary AML patient samples. Primary human MERTK-expressing leukemic blasts, with or without FLT3-ITD mutations, proved sensitive to treatment with MRX-2843.
In addition, MRX-2843 increased survival and decreased peripheral disease burden in patient-derived xenograft models of AML—both MERTK+FLT3-WT and MERTK+FLT3-ITD models.
Finally, the researchers found that MRX-2843 was active against quizartinib-resistant FLT3-mutant proteins, induced apoptosis and inhibited colony formation in quizartinib-resistant FLT3-ITD cell lines, and prolonged survival in quizartinib-resistant FLT3-ITD xenograft models.
Preclinical research indicates that a novel inhibitor can overcome resistance-conferring FLT3 mutations in acute myeloid leukemia (AML).
The MERTK/FLT3 inhibitor MRX-2843 induced apoptosis and inhibited colony formation in AML cell lines and primary patient samples expressing MERTK and/or FLT3-ITD.
MRX-2843 also improved survival in mouse models of AML, including cases where tumors were resistant to the FLT3 inhibitor quizartinib.
Douglas Graham, MD, PhD, of the University of Colorado in Aurora, and his colleagues conducted this research and reported the results in JCI Insight.
The researchers previously showed that the receptor tyrosine kinase MERTK is overexpressed in 80% to 90% of AMLs and contributes to leukemogenesis.
With the current study, they showed that MRX-2843 abrogates activation of MERTK, FLT3, and their downstream effectors. And this translates to antileukemic activity in vitro and in vivo.
MRX-2843 inhibited MERTK signaling, induced cell death, and abolished oncogenic phenotypes in AML cells. The drug also exhibited therapeutic activity in a MERTK-dependent xenograft model.
MRX-2843 was able to stop the activation of FLT3 and its signaling pathways almost completely. The researchers said this suggests the drug has somewhat higher cellular potency against FLT3 relative to MERTK.
In mouse models of FLT3-ITD AML, MRX-2843 significantly prolonged survival when compared to vehicle control.
The researchers also said MRX-2843 selectively inhibited colony formation in primary AML patient samples. Primary human MERTK-expressing leukemic blasts, with or without FLT3-ITD mutations, proved sensitive to treatment with MRX-2843.
In addition, MRX-2843 increased survival and decreased peripheral disease burden in patient-derived xenograft models of AML—both MERTK+FLT3-WT and MERTK+FLT3-ITD models.
Finally, the researchers found that MRX-2843 was active against quizartinib-resistant FLT3-mutant proteins, induced apoptosis and inhibited colony formation in quizartinib-resistant FLT3-ITD cell lines, and prolonged survival in quizartinib-resistant FLT3-ITD xenograft models.
Bloodstream infection linked to antinausea drug
Researchers say they have discovered the source of a bloodstream infection observed in more than 50 South American cancer patients.
Using whole-genome sequence typing (WGST), the team was able to link infection with the fungus Sarocladium kiliense to a tainted antinausea medication, ondansetron, that was given to cancer patients in Chile and Colombia.
This work is described in Emerging Infectious Diseases.
“Contamination of medical products, particularly with environmental fungi, poses growing concern and a public health threat, especially in vulnerable populations such as cancer patients,” said study author David Engelthaler, PhD, of The Translational Genomics Research Institute in Flagstaff, Arizona.
“Increased vigilance and the use of advanced technologies are needed to rapidly identify the likely sources of infection to efficiently guide epidemiologic investigations and initiate appropriate control measures.”
The S kiliense bloodstream-infection outbreak, which occurred from June 2013 through January 2014, included a cluster of cases at 8 hospitals in Santiago, Chile.
All of the patients received the same 4 intravenous medications. But only the antinausea medication ondansetron was given exclusively to cancer patients.
All of the patients infected with S kiliense received ondansetron from the same source, a pharmaceutical company called Vitrofarma SA (specifically, Plant No. 8 in Bogotá, Colombia). The drug was imported by LabVitales Chile SA and distributed by Pharma Isa Ltda.
Two of 3 lots of unopened ondansetron, tested by the Chilean Ministry of Health, yielded vials contaminated with S kiliense, forcing a recall of all ondansetron in Chile that was made by Vitrofarma SA.
Subsequently, Colombian officials discovered 14 other cases in which patients who were given ondansetron from Vitrofarma SA were infected with S kiliense.
S kiliense has been implicated in healthcare-related infections before, but the lack of available typing methods has precluded the ability to substantiate sources.
“The use of WGST to investigate fungal outbreaks has become integral to epidemiologic investigations,” Dr Engelthaler said. “Our WGST analysis demonstrated that the patient isolates from Chile and Colombia were nearly genetically indistinguishable from those recovered from the unopened medication vials, indicating the likely presence of a single-source infection.”
Researchers say they have discovered the source of a bloodstream infection observed in more than 50 South American cancer patients.
Using whole-genome sequence typing (WGST), the team was able to link infection with the fungus Sarocladium kiliense to a tainted antinausea medication, ondansetron, that was given to cancer patients in Chile and Colombia.
This work is described in Emerging Infectious Diseases.
“Contamination of medical products, particularly with environmental fungi, poses growing concern and a public health threat, especially in vulnerable populations such as cancer patients,” said study author David Engelthaler, PhD, of The Translational Genomics Research Institute in Flagstaff, Arizona.
“Increased vigilance and the use of advanced technologies are needed to rapidly identify the likely sources of infection to efficiently guide epidemiologic investigations and initiate appropriate control measures.”
The S kiliense bloodstream-infection outbreak, which occurred from June 2013 through January 2014, included a cluster of cases at 8 hospitals in Santiago, Chile.
All of the patients received the same 4 intravenous medications. But only the antinausea medication ondansetron was given exclusively to cancer patients.
All of the patients infected with S kiliense received ondansetron from the same source, a pharmaceutical company called Vitrofarma SA (specifically, Plant No. 8 in Bogotá, Colombia). The drug was imported by LabVitales Chile SA and distributed by Pharma Isa Ltda.
Two of 3 lots of unopened ondansetron, tested by the Chilean Ministry of Health, yielded vials contaminated with S kiliense, forcing a recall of all ondansetron in Chile that was made by Vitrofarma SA.
Subsequently, Colombian officials discovered 14 other cases in which patients who were given ondansetron from Vitrofarma SA were infected with S kiliense.
S kiliense has been implicated in healthcare-related infections before, but the lack of available typing methods has precluded the ability to substantiate sources.
“The use of WGST to investigate fungal outbreaks has become integral to epidemiologic investigations,” Dr Engelthaler said. “Our WGST analysis demonstrated that the patient isolates from Chile and Colombia were nearly genetically indistinguishable from those recovered from the unopened medication vials, indicating the likely presence of a single-source infection.”
Researchers say they have discovered the source of a bloodstream infection observed in more than 50 South American cancer patients.
Using whole-genome sequence typing (WGST), the team was able to link infection with the fungus Sarocladium kiliense to a tainted antinausea medication, ondansetron, that was given to cancer patients in Chile and Colombia.
This work is described in Emerging Infectious Diseases.
“Contamination of medical products, particularly with environmental fungi, poses growing concern and a public health threat, especially in vulnerable populations such as cancer patients,” said study author David Engelthaler, PhD, of The Translational Genomics Research Institute in Flagstaff, Arizona.
“Increased vigilance and the use of advanced technologies are needed to rapidly identify the likely sources of infection to efficiently guide epidemiologic investigations and initiate appropriate control measures.”
The S kiliense bloodstream-infection outbreak, which occurred from June 2013 through January 2014, included a cluster of cases at 8 hospitals in Santiago, Chile.
All of the patients received the same 4 intravenous medications. But only the antinausea medication ondansetron was given exclusively to cancer patients.
All of the patients infected with S kiliense received ondansetron from the same source, a pharmaceutical company called Vitrofarma SA (specifically, Plant No. 8 in Bogotá, Colombia). The drug was imported by LabVitales Chile SA and distributed by Pharma Isa Ltda.
Two of 3 lots of unopened ondansetron, tested by the Chilean Ministry of Health, yielded vials contaminated with S kiliense, forcing a recall of all ondansetron in Chile that was made by Vitrofarma SA.
Subsequently, Colombian officials discovered 14 other cases in which patients who were given ondansetron from Vitrofarma SA were infected with S kiliense.
S kiliense has been implicated in healthcare-related infections before, but the lack of available typing methods has precluded the ability to substantiate sources.
“The use of WGST to investigate fungal outbreaks has become integral to epidemiologic investigations,” Dr Engelthaler said. “Our WGST analysis demonstrated that the patient isolates from Chile and Colombia were nearly genetically indistinguishable from those recovered from the unopened medication vials, indicating the likely presence of a single-source infection.”
IDR in Hospitalized Medicine Patients
Interdisciplinary rounds (IDR) constitute a model of care where healthcare team members representing multiple disciplines meet to develop patient care plans. IDR allow input from a range of professionals without communication lag, thereby improving communication while incorporating diverse sets of information. IDR appear to improve collaboration among physicians and nurses,[1] increase compliance with guidelines,[2] improve safety and quality,[3] reduce adverse drug events,[4] and possibly lower mortality.[5] Recommendations have been published regarding implementation of IDR.[6] The Institute for Healthcare Improvement (IHI) supports IDR as a formal daily mechanism for identifying patient safety risks and determining daily goals.[7] IHI recommendations include guidance on team membership, patient and family participation, using a daily goals sheet, and addressing safety concerns. However, there is no standard definition of IDR. Consequently, there is variation in the design and outcomes, leading to a poor understanding of the relationship between the two. Although IDR are increasingly being used, to our knowledge, there is no published evidence regarding the optimal composition of IDR teams or how specific outcomes may be impacted by team composition or focus. This is a particular problem in general medicine units caring for patients with complex medical and social issues whose care involves several professionals. In addition, the results from other IDR settings may not be transferable to general medicine units.
Therefore, we conducted a systematic review of experimental, quasiexperimental, and observational studies to (1) document types of IDR on general medicine units, (2) categorize IDR interventions by similarities in team composition and focus, and (3) determine the differential impact of each category of intervention on outcomes including measures of efficiency, quality, safety, and satisfaction.
METHODS
This systematic review was performed according to the Preferred Reporting Items for Systematic Reviews and Meta‐Analyses (PRISMA) guidelines.[8]
Data Sources and Searches
We conducted systematic literature searches of databases including Ovid MEDLINE, Ovid MEDLINE In‐Process & Other Non‐Indexed Citations, Journals@Ovid, Cumulative Index to Nursing and Allied Health Literature (EBSCOhost), and PubMed (NCBI/National Library of Medicine) to identify English‐language articles published from 1990 to 2014. In Ovid MEDLINE, the librarians (E.M.J., E.B.) identified a combination of relevant Medical Subject Headings and keywords to capture the concepts of interdisciplinary rounds and general medicine hospital units. To identify additional relevant studies, we examined reference lists from included studies and review articles. A detailed search strategy for Ovid MEDLINE is included in the Supporting Information, Appendix A, in the online version of this article.
Study Selection
One author (V.S.B.) screened titles for abstract selection. Two reviewers (D.J.E. and V.S.B.) independently reviewed all abstracts for full‐text eligibility. A third reviewer adjudicated all inclusion disagreements (E.J.R.).
We included IDR studies where the attending physician or resident physician and at least one other healthcare team member (from a different discipline) managing a common group of patients was present. We used this as a screening criterion rather than a definition of IDR to include studies that would be relevant to the current climate in inpatient medicine. Although there is no accepted definition of IDR, IDR are generally designed as a process that involves several team members. However, we included studies that utilized fewer team members for completeness and to investigate possible linkages between design and outcomes. We included experimental, quasiexperimental, and observational studies on general medicine units in the English‐language literature. We were neutral to cardiac monitoring status and age of general medicine patients. We excluded studies lacking a definite IDR intervention or a study design. We excluded health care settings other than inpatient medicine, and intensive care units (ICUs) were excluded. A flow diagram outlining the study selection process appears as Supporting Information, Appendix B, in the online version of this article.
Data Extraction and Study Quality Assessment
We drafted an abstraction tool based on published reports of IDR.[9, 10] Three reviewers (V.S.B., D.J.E., and E.J.R.) independently tested the tool's applicability to several included articles. We developed the tool in an iterative process to come up with a final version by reviewer consensus. Two reviewers (V.S.B., S.S.S.) abstracted all articles. Disagreements were resolved through consensus.
We categorized abstraction elements into three categories: (1) study setting and characteristics, (2) IDR design, and (3) IDR outcomes. Study setting and characteristics included setting and location, type of unit, study design, and number of study participants (intervention vs control groups) when available. The IDR design category included timing, location, duration, and frequency of rounds, time per patient, presence of geographic colocation of physician's patients (geographic cohorting), use of team training for IDR teams, format of IDR (scripted vs free‐flowing discussion), use of patient communication tools, and use of safety checklists. Team composition was also included in the IDR design category. This included attending physician, bedside nurse, nurse leader or charge nurse, case manager, pharmacist, social worker, resident, and/or medical student. Some studies referenced a nurse or nurse leader who facilitated rounds, which we collected as a rounds manager, based on IHI recommendations. We were also interested in patient and family presence in rounds and documented such when available. The IDR outcomes category included hospital length of stay (LOS), cost per case, use of cardiac monitors, readmission rates, rates of venous thromboembolism:prophylaxis and occurrence, falls, skin breakdown, hospital‐acquired infections, and patient and staff satisfaction.
We modified the 27‐question Downs and Black quality scoring tool[11] to include 15 questions aligned with study characteristics relevant to IDR (see Supporting Information, Appendix C, in the online version of this article). Scoring was yes/no (1/0) for each quality indicator, allowing scores from 0 to 15. We categorized studies with scores 0 to 5 as low, 6 to 10 as medium, and 11 to 15 as high‐quality studies. Two reviewers (V.S.B. and S.S.S.) independently performed quality scoring of all articles, and disagreements were resolved through consensus.
Data Synthesis and Analysis
Due to significant variability in IDR characteristics, design and outcomes, a meta‐analysis was not feasible. As a result, we did a narrative review of IDR design and outcomes. To understand the potential causal pathways that relate IDR design to outcomes, we grouped studies with similar design and explored similarities in outcomes in those groups. We report the number of studies both as a number and percentage within each subgroup rounded to the nearest lower whole number.
RESULTS
The searches identified 12,692 titles. We eliminated duplicates and applied inclusion and exclusion criteria to titles and abstracts, leading to review of 259 full‐text articles. Hand searching yielded two additional titles. Of these, 239 articles were excluded, leaving 22 full‐text articles for abstraction. Study setting and characteristics appear as Table 1.
Author, Year | Title | Study Nation, Setting | Study Design |
Total Study Patients (IDR, Control Patients) |
No. of Study Subjects, If Not Patients; Total, Intervention, Control | Quality Score |
---|---|---|---|---|---|---|
| ||||||
Boyko et al., 1997 | Pharmacist influence on economic and morbidity outcomes in a tertiary care teaching hospital | USA, university | Quasiexperimental study | 867 (414 IDR, 453 control) | NA | 9 |
Haig et al., 1991 | Effect of pharmacist participation on a medical team on costs, charges, and length of stay | USA, community teaching | Observational study | 619 (287 IDR, 332 control) | NA | 8 |
Makowsky et al., 2009 | Capturing outcomes of clinical activities performed by a rounding pharmacist practicing in a team environment: the COLLABORATE study (NCT00351676) | Canada, university | Quasiexperimental study | 452 (220 IDR, 231 control) | NA | 11 |
Gallagher et al., 2004 | Multidisciplinary meetings in medical admissions units | UK, not reported | Observational study | Not reported | NA | 3 |
Gonzalo et al., 2014 | Bedside interprofessional rounds: perceptions and benefits of barriers by internal medicine nursing staff, attending physicians, and housestaff physicians | USA, university | Observational study | NA | 149/171 staff surveys completed | 11 |
Sharma et al., 2014 | Attitudes of nursing staff toward interprofessional in‐patientcentered rounding | USA, community nonteaching | Observational study | NA | 61/90 nurses responded (67% survey response rate); 61 pre‐IDR, 61 post‐IDR. | 7 |
Spitzer et al., 1999 | Patient care centers improve outcomes | UK, community nonteaching | Observational study | Not reported | NA | 5 |
Cameron et al., 2000 | Impact of a nurse‐led multidisciplinary team on an acute medical admissions unit | USA, university | Observational study | 1,000, no control | NA | 5 |
Curley et al., 1998 | A firm trial of interdisciplinary rounds on the inpatient medical wards | USA, university | RCT | 1,102 (567 IDR, 535 control) | NA | 11 |
Ellrodt et al., 2007 | Multidisciplinary rounds: an implementation system for sustained improvement in the American Heart Association's Get With the Guidelines Program | USA, university | Observational study | NA | NA | 6 |
Ettner et al., 2006 | An alternative approach to reducing the costs of patient care? A controlled trial of the multidisciplinary doctor‐nurse practitioner model | USA, university | Quasiexperimental study | Not reported | NA | 9 |
Jitapunkul et al., 1995 | A controlled clinical trial of a multidisciplinary team approach in the general medical wards of Chulalongkorn Hospital | Thailand, university | RCT | 843 (199 IDR, 644 control) | NA | 9 |
Mudge et al., 2006 | Controlled trial of multidisciplinary care teams for acutely ill medical inpatients: enhanced multidisciplinary care | Australia, university | Quasiexperimental study | 1,538 (792 IDR, 746 control) | NA | 12 |
O'Leary et al., 2010 | Improving teamwork: impact of structured interdisciplinary rounds on a medical teaching unit | USA, university | Quasiexperimental study | NA | 147/159 (92%) survey responders; resident physicians 88 (47 IDR, 41 control), nurses 59 (34 IDR, 25 control) | 13 |
O'Leary et al., 2015 | Implementation of unit‐based interventions to improve teamwork and patient safety on a medical service | USA, university | Observational study | 1,380 | NA | 11 |
O'Leary et al., 2011 | Improving teamwork: impact of structured interdisciplinary rounds on a hospitalist unit | USA, university | Quasiexperimental study | NA | 49/58 nurses responded; (84%) (24 IDR, 25 control) | 9 |
O'Leary et al., 2011 | Structured interdisciplinary rounds in a medical teaching unit: improving patient safety | USA, university | Observational study | 370 (185 IDR, 185 control) | NA | 10 |
O'Mahony et al., 2007 | Multidisciplinary rounds: early results of a resident focused initiative to improve clinical quality measures, promote systems based learning, and shorten inpatient length of stay | USA, community teaching | Observational study | Not reported | NA | 8 |
Southwick et al., 2014 | Applying athletic principles to medical rounds to improve teaching and patient care | USA, university | Quasiexperimental study | LOS phase 1:780. (363 IDR, 417 control); phase 2 455, (213 IDR, 242 control); readmissions: 1,235 (576 IDR, 659 control) | 21 attending physicians, (11 IDR, 10 control), residents (29 IDR, 24 control), medical students (23 IDR, 19 control) | 12 |
Vazirani et al., 2005 | Effect of a multidisciplinary intervention on communication and collaboration among physicians and nurses | USA, university | Quasiexperimental study | NA | 264/456 residents (58%), physicians 114/165 (69%), 325/358 (91%) response rates | 8 |
Wild et al., 2004 | Effects of interdisciplinary rounds on length of stay in a telemetry unit | USA, community teaching | RCT | 84 (42 IDR, 42 control) | NA | 13 |
Yoo et al., 2013 | Effects of an internal medicine floor interdisciplinary team on hospital and clinical outcomes of seniors with acute medical illness | USA, university | Quasiexperimental study | 484 (236 IDR, 248 control) | NA | 13 |
IDR Design
There were three areas of focus identified: pharmacist studies, bedside rounding studies, and interdisciplinary team studies. Table 2 summarizes IDR team composition and design features.
IDR Study Subgroup | Author | Type of IDR for Each patient | Safety/Quality Checklist | Attending Physician | Resident | Physician Leader | Nurse | Pharmacist | Case Manager | Social Worker | Physical Therapist | Rounds Manager | Patient | Medical Student | Time Spent per Patient | Geographic Cohorting | Order Writing | Team Training |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Author | LOS | Readmissions | Cost per Case | Adverse Events | Patient Satisfaction | VTE Prophylaxis Administration | Staff Satisfaction | Mortality | Functional Capacity | Study Findings | ||||||||
Bedside rounding studies | Author | Type of IDR for Each Patient | Safety/Quality Checklist | Attending Physician | Resident | Physician Leader | Nurse | Pharmacist | Case Manager | Social Worker | Physical Therapist | Rounds Manager | Patient | Medical Student | Time Spent per Patient | Geographic Cohorting | Order Writing | Team Training |
Author | LOS | Readmissions | Cost per Case | Adverse Events | Patient Satisfaction | VTE Prophylaxis Administration | Staff Satisfaction | Mortality | Functional Capacity | Study Findings | ||||||||
Interdisciplinary team studies | Author | Type of IDR for Each Patient | Safety/Quality checklist | Attending Physician | Resident | Physician Leader | Nurse | Pharmacist | Case Manager | Social Worker | Physical Therapist | Rounds Manager | Patient | Medical Student | Time Spent per Patient | Geographic Cohorting | Order Writing | Team Training |
Author | LOS | Readmissions | Cost per Case | Adverse Events | Patient Satisfaction | VTE Prophylaxis Administration | Staff Satisfaction | Mortality | Functional Capacity | Study Findings | ||||||||
| ||||||||||||||||||
Pharmacist studies | Boyko et al. | Free‐flowing discussion | ✓ | ✓ | ✓ | ✓ | ||||||||||||
Haig et al. | Free‐flowing discussion | ✓ | ✓ | ✓ | ||||||||||||||
Makowsky et al. | Not reported | ✓ | ✓ | ✓ | ||||||||||||||
Boyko et al. | NM | NM | NM | NM | NM | NM | NM | IDR vs control: LOS 4.2 vs 5.5 days (P < 0.0001), pharmacy costs $481 vs $782 (P < 0.001), hospital costs $4,501 vs $6,156 (P < 0.0001) | ||||||||||
Haig et al. | NM | NM | NM | NM | NM | NM | NM | IDR vs control: adjusted LOS 5.9 days vs 7.2 days (P = 0.003), adjusted hospital costs $6,122 vs $8,187 (P = 0.001) | ||||||||||
Makowsky et al. | NM | NM | NM | NM | NM | NM | NM | IDR vs control: core measure compliance 56.% vs 45.3%, 90‐day readmissions 36.2% vs 45.5%, odds ratio 0.63 | ||||||||||
Gallagher et al. | Free‐flowing discussion | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | |||||||||||
Gonzalo et al. | Not reported | ✓ | ✓ | ✓ | ✓ | ✓ | ||||||||||||
Sharma et al. | Not reported | ✓ | ✓ | ✓ | ||||||||||||||
Spitzer et al. | Discharge‐ focused discussion | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | |||||||||||
Gallagher et al. | NM | NM | NM | NM | NM | NM | NM | NM | Total number of discharges increased by 75% compared to the year prior from a medical admissions unit improving medical patient occupancy of surgical beds | |||||||||
Gonzalo et al. | NM | NM | NM | NM | NM | NM | NM | NM | Post‐IDR survey: Nursing satisfaction greater than provider satisfaction (P < 0.01); nursing satisfaction greater than resident satisfaction (P < 0.01) with IDR | |||||||||
Sharma et al. | NM | NM | NM | NM | NM | NM | NM | NM | Pre‐post IDR: nursing perception of improved communication 7% vs 54% (P < 0.001), improved rounding with hospitalists 3% vs 49% (P < 0.001), positive impact on workflow 5% vs 56% (P < 0.001), value as a team member 26% vs 56% (P = 0.018) | |||||||||
Spitzer et al. | * | NM | NM | NM | NM | NM | NM | NM | System‐wide patient satisfaction survey showed high ratings of patient satisfaction on plan of care; LOS reduction reported only in cardiology patients | |||||||||
Cameron et al. | Not reported | ✓ | ✓ | |||||||||||||||
Curley et al. | Scripted discussion | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ||||||||||
Ellrodt et al. | Scripted discussion | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | 90 s | ✓ | ✓ | ||||||||
Ettner et al. | Not reported | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ||||||||||
Jitapunkul et al. | Not reported | ✓ | ✓ | ✓ | ✓ | ✓ | ||||||||||||
Mudge et al. | Scripted discussion | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | |||||||||||
O'Leary et al. (teamwork, teaching unit) | Scripted discussion | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | |||||||
O'Leary et al. (implementation study) | Scripted discussion | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ||||||
O'Leary et al. (teamwork, hospitalist unit) | Scripted discussion | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | |||||||
O'Leary et al. (Improving safety, teaching unit) | Scripted discussion | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | 80 s | ✓ | ✓ | ||||||
O'Mahony et al. | Scripted discussion | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | 45120 s | ||||||||
Southwick et al. | Scripted discussion | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ||||||||||
Vazirani et al. | Not reported | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ||||||||||
Wild et al. | Discharge focused discussion | ✓ | ✓ | ✓ | ✓ | ✓ | 25 min | |||||||||||
Yoo et al. | Not reported | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ||||||||||
Cameron et al.[25] | * | NM | NM | NM | NM | NM | NM | NM | NM | In 1,000 patients seen in a medical admissions units, 26% were discharged home, which was perceived as appropriate, no comparison provided | ||||||||
Curley et al. | NM | NM | NM | NM | NM | NM | IDR vs control, mean LOS 5.46 vs 6.06 days (P = 0.006), total charges $6,681 vs $8,090 (P = 0.002) | |||||||||||
Ellrodt et al. | NM | NM | NM | NM | NM | NM | NM | Pre post IDR, VTE prophylaxis rates 65% vs 97% | ||||||||||
Ettner et al. | NM | NM | NM | NM | NM | NM | NM | IDR saved cost of hospital admission with savings of $978 considering IDR costs and hospital costs vs hospital costs for IDR vs control patients | ||||||||||
Jitapunkul et al. | NM | NM | NM | NM | NM | NM | NM | Mean LOS in IDR vs 1 of the control groups (total 3 controls) in the 60‐ to 74‐year‐old age group patients, 8.7 vs 12 days (P < 0.05) | ||||||||||
Mudge et al. | * | NM | NM | NM | NM | NM | IDR vs control: LOS 7.3 days vs 7.8 days (P = 0.18), in hospital mortality 3.9% vs 6.4% (P = 0.03), functional decline 3.2% vs 5.4% (P = 0.04) | |||||||||||
O'Leary et al. (teamwork, teaching unit) |
X | NM | NM | NM | NM | NM | NM | NM | IDR vs control: ratings by nurses on communication with physicians 74% control 44% (P = 0.02), residents 82% vs 77% (P = 0.01) | |||||||||
O'Leary et al. (implementation study) |
NM | NM | NM | X | NM | NM | NM | NM | Pre‐post IDR: team work rating 76% vs 80% (P = 0.02), range of score 0100 | |||||||||
O'Leary et al. (teamwork, hospitalist unit) |
NM | NM | NM | NM | NM | NM | NM | NM | IDR vs control: very high or high ratings by nurses on communication and collaboration with physicians 84% vs 54% (P = 0.05) | |||||||||
O'Leary et al.(improving safety, teaching unit) | NM | NM | NM | NM | NM | NM | NM | NM | IDR vs concurrent control vs historical control: rate of preventable adverse events/100 patient days 0.9 vs 2.8 (P = 0.002) vs 2.1 (P = 0.02) | |||||||||
O'Mahony et al. | NM | NM | NM | NM | NM | NM | NM | Decrease in average LOS by 0.5 days in patients with CHF, PNA, or AMI (P < 0.013), 0.6 days for all other diagnoses (P 0.001); improvement in core measure compliance with HF 65% pre‐IDR, 76% post‐IDR (P < 0.001), AMI pre‐IDR 89%, 96% post‐IDR (P < 0.002) and CAP (27% pre‐IDR to 70% post‐IDR (P < 0.001) | ||||||||||
Southwick et al. | NM | NM | X | NM | NM | NM | IDR vs control relative LOS 0.76 vs 0.93 (P = 0.010) | |||||||||||
Vazirani et al. | X | NM | NM | NM | NM | NM | NM | NM | IDR vs control group: physicians reported more collaboration with nurses than control group (P < 0.001); nurses in IDR and control group reported similar levels of collaboration with physicians (P = 0.47) | |||||||||
Wild et al. | X | NM | NM | NM | NM | NM | NM | NM | IDR vs control: LOS 2.7 days vs 3.04 days (P = 0.4); staff satisfaction questionnaire: improved communication on a scale of 110 perceived by doctors 8.25 vs nurses and ancillary staff 6.10 (P = 0.39) | |||||||||
Yoo et al. | X | NM | NM | NM | NM | NM | NM | NM | IDR vs control: mean LOS 6.1 days vs 6.8 days (P = 0.008) |
Pharmacist Studies (13% of All Studies)
The three studies in this group were characterized by a physician‐resident team rounding with a pharmacist.[12, 13, 14] Pharmacist recommendations were incorporated into patient plans of care.
Bedside Rounding Studies (18% of All Studies)
The four studies in this group were characterized by bedside rounding as a team with patients.[15, 16, 17, 18] All four studies included patient and family as partners in determining plans of care. Two studies[15, 16] (50%) described physician and nurse bedside rounding, whereas the other two[17, 18] (50%) included a larger complement of team members, notably a discharge planner. Timing, duration, use of IDR scripts, and team training were not reported.
Interdisciplinary Team Studies (68% of All Studies)
The 15 studies in this group were characterized by two or more team members rounding with a physician.[9, 10, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31] Thirteen studies (86%) reported rounding once a day in the morning, often restricted to weekdays only.[9, 14, 25, 27] Only four (26%) studies[19, 20, 23, 31] reported rounding time per patient. Eight (53%) studies[9, 21, 24, 27, 28, 29, 30, 31] reported geographic physician‐patient colocation. Ten (66%) studies[9, 21, 22, 23, 24, 27, 28, 29, 30, 31] reported training teams. Nine (60%) studies[10, 20, 21, 23, 24, 28, 29, 30, 31] reported a scripted discussion during rounds, with adherence to script measured in only two (13%) studies.[21, 28] Four (26%) studies[28, 29, 30, 31] reported using a safety checklist. Nurses, pharmacists, social workers, and case managers were the most common participants in IDR. Roles and responsibilities of individual team members were inconsistently described. Particularly, the role of case manager and social worker were not clearly defined, although it appeared that both roles contributed to discharge planning. Ten (66%) studies[9, 20, 23, 25, 27, 28, 29, 30, 31] reported an individual (usually a nurse or nurse leader) present as a manager and coach for rounds.
IDR Outcomes and Relationship Between Design and Outcomes
We report IDR outcomes within each IDR design group. Table 2 summarizes IDR design and outcomes.
Pharmacist Studies
All three studies in this group were of medium quality.[12, 13, 14] Two[12, 13] (66%) reported a reduction in LOS. Two studies[12, 13] (66%) reported a reduction in cost but used different definitions for cost. Boyko et al.[13] (defined as hospital costs) and Haig et al[12] (defined as hospital charges) studies reported a decrease in both pharmacy and total costs. Only one study[14] (33%) reported a decrease in readmission rates and a concomitant rise in LOS. Review of these studies suggests a relationship between pharmacist‐physician rounding and decrease in cost and LOS.
Bedside Rounding Studies
Only one[16] (25%) of the four studies is a high‐quality study.[15, 16, 17, 18] Three studies[15, 16, 17] (75%) focused on nurse‐physician bedside rounding. Only one study[17] reported patient satisfaction, which was measured using a local survey. Two studies[15, 16] (50%) reported increased satisfaction for rounding team members by both physicians and nurses. One[18] (25%) utilized a complement of team members, including a discharge planner at the bedside, and reported a decrease (not statistically significant) in LOS. These studies suggest (1) a relationship between bedside rounding and patient and team satisfaction and (2) large rounding team (possibly with a discharge planner) and efficiency.
Interdisciplinary Team Studies
Of the 15 interdisciplinary team studies,[9, 10, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31] there were seven high‐quality studies[10, 19, 21, 22, 24, 28, 30] (46%). LOS, cost, harm reduction, and patient and staff satisfaction are the commonly reported outcomes.
LOS
Five (33%) studies[20, 21, 22, 24, 26] reported a statistically significant decrease in LOS. Several of these studies utilized either a case manager[20, 21, 24] or a social worker[22, 26] in a discharge planning role. In these studies, physicians rounded with at least two but mostly three team members. Three[21, 22, 24] (20%) of the LOS studies were of high quality, were done on teaching units, and included a large complement of team members including a discharge planner. All three studies also trained teams to participate in IDR. One study[21] was a two‐phase study that demonstrated additional decrease in LOS after utilizing a case manager and training teams in communication. Two[10, 31] (13%; one medium and one high quality) other studies in this group that were designed similar to the above three studies used a large complement of team members, including a discharge planner and trained teams, but did not report LOS reduction. Overall, the results from the high‐quality studies point to larger teams, discharge planners, and team training as notable features possibly linked to LOS reduction.
Cost
Two (13%) of the 15 studies[24, 27] reported a decrease in cost per case, defined as hospital costs in the Ettner et al. study[27] and hospital charges in the Curley et al.[24] study. The Curley et al. study included a pharmacist similar to the studies[13, 12] in the pharmacist group. This led to the possibility that pharmacist presence in IDR could influence cost reductions. This hypothesis could have been more definitive if the several other studies[20, 21, 22] that utilized a pharmacist also measured cost.
Harm Reduction
Only three (20%) studies[10, 23, 31] reported reduction in patient harm as a result of IDR. Utilization of safety and quality checklists[28, 31] did not reliably demonstrate a decrease in adverse events. Two studies[10, 23] (13%) reported a decrease in mortality. Both studies had a large complement of team members, but we could not isolate any specific features in their model that would link their IDR design to outcomes.
Patient Satisfaction
Only one (6%) study[10] in this group reported improving patient satisfaction with IDR. This study did not include patients in IDR. With this being the only study in this group that reported patient satisfaction, we could not identify an IDR feature that could have led to improved patient satisfaction.
Staff Satisfaction
Although staff satisfaction has not been clearly linked to clinical outcomes, conceptual models[32] have been proposed linking staff satisfaction to patient reported outcomes. Several studies (71%) measured and reported improvement[9, 19, 20, 21, 24, 26, 27, 28, 30, 31] in staff satisfaction (all participants). Some studies reported more nursing satisfaction than physician,[16] and some reported more physician satisfaction than nurse.[19] Rounds manager, team training, and geographic cohorting were commonly reported in many of these studies.[9, 27, 29, 30, 31] However, we did not see a specific IDR model that could be linked to staff satisfaction.
DISCUSSION
In a systematic review of the literature on IDR in general medicine units, we found significant variability in IDR design, outcomes, and reporting. We found 3 different models of IDR: pharmacist focused, bedside rounding, and interdisciplinary team studies. There are data to suggest a relationship between IDR and improvements in LOS and staff satisfaction but little data on patient safety or satisfaction. Our review did not reveal clear causal pathways between IDR design and outcomes but allowed for generation of some hypotheses that require further testing:
- Physician‐pharmacist rounding may be related to decrease in LOS and cost.
- Presence of discharge planner, team training, and large complement of team members may be related to LOS reduction.
- Physician‐nurse or team rounding in general may be related to staff satisfaction.
The reviewed studies underscore the absence of a standardized definition of IDR, with no common process or outcome measures across studies. Few studies provided complete information on design, and even fewer reported similar outcomes, making it difficult to identify links between IDR characteristics and outcomes. As a result, we provide recommendations for an IDR definition and suggested future taxonomy studies (Table 3).
Reporting Study Setting and Characteristics | Reporting IDR Design | Standardization of IDR Outcomes |
---|---|---|
| ||
1. Institution size and academic affiliation | 1. Type of interdisciplinary rounding discussion (eg, free‐flowing vs scripted) | 1. Clinical outcomes and quality |
2. Patient characteristics and unit location | 2. Location, timing, duration, duration per patient, frequency | Adverse events |
3. Study design | 3. Use of safety/quality checklists and/or timeouts | Readmission rates |
4. Number of sites | 4. Information technology use in IDR | Patient satisfaction |
5. Number of study subjects | 5. Facilitative interventions (eg, geographic cohorting or team training) | 2. Compliance with clinical guidelines, core measures, safety |
6. Description of control groups/units | 6. IDR leadership | Heart failure, stroke, pneumonia guidelines |
7. IDR team members | VTE prophylaxis | |
8. Presence of patients and families | Bladder catheter use | |
9. Roles/responsibilities for each member | Central line use | |
3. Utilization metrics | ||
LOS | ||
Cost per case | ||
Telemetry monitoring | ||
Antibiotic stewardship | ||
4. Process measures | ||
Time spent in rounds | ||
Rate of adherence to script | ||
Team effectiveness | ||
Staff satisfaction | ||
Proposed IDR definition: IDR could be defined as a daily scripted interdisciplinary rounds process that includes a physician, incorporates patient and family in the decision‐making process (by use of specific mechanisms of communication or presence of patient in the IDR), and includes nursing staff, discharge planner, pharmacist, and a rounds manager. Team training, rounds management, and geographic rounding may be considered as facilitative interventions while designing IDR. |
Several studies (59%) were interested in LOS. From the high‐quality studies[21, 22, 24] that reported LOS reductions, it is notable that large teams, discharge planner presence, and team training are common features. This may be worth further investigation when focused on using IDR to decrease LOS, particularly in community settings, as these studies were done in academic institutions. Real‐time input from several team members, presence of a discharge planner, and highly effective teams could be a potential causal pathway to increased unit efficiency but should be rigorously tested.
All four studies[13, 12, 24, 27] that reported decreased hospital costs utilized a pharmacist, with three[13, 12, 24] of the four also reporting decreased LOS. Decreasing medication utilization and costs through pharmacist participation in IDR, as well as a decrease in LOS, could explain the hospital cost decreases found in these studies. Overall, it appears that pharmacist interventions tend to focus on cost and utilization.
It appears that geographic cohorting, team training, and utilizing a rounds manager are common features in studies that report staff satisfaction.[9, 27, 28, 29, 30, 31] Although we cannot draw any conclusions from this finding, the association can be used to generate a hypothesis. Although staff satisfaction could conceivably be improved through the improved communication inherent in IDR, it is also possible that team efficiency and satisfaction is further enhanced by geographic cohorting, team training, and utilizing a rounds manager.
The role of safety checklists remains unclear, as the gains demonstrated in the O'Leary et al. study[31] were not replicable, as the IDR intervention expanded[28] to several other units in their institution. The role of IDR in preventing adverse events is also unclear.
Although we were interested in patient and family participation and patient‐reported outcomes, in the bedside rounding studies,[15, 16, 17, 18] only one study[17] measured patient satisfaction. Overall, this review revealed limited data[10, 17] on patient satisfaction due to IDR. As a result, the relationship between patient and family participation in IDR and outcomes remains unclear and needs further study.
This review has limitations. Due to the small sample sizes and inconsistent reporting of data among studies, we had insufficient power for a 2 analysis to generate meaningful meta‐analytic results. Our search strategy, although inclusive, could have missed articles, so we compensated by manual searches. Selection of outcome‐driven studies could have eliminated quality improvement reports. Lack of publications of negative studies is also a potential problem that could have biased the review toward the positive impact of IDR interventions. Lastly, although the Downs and Black scoring tool is validated, our modified version has not been validated.
CONCLUSIONS
Our review revealed that IDR may be an important tool for improving efficiency and staff satisfaction, with the potential to improve safety. However, more deliberately designed and completely reported studies are needed to fully understand optimal IDR design. Given the difficulties of implementing robust, randomized, and controlled studies in this setting, standardizing the design and reporting elements of IDR is necessary to inform decision making surrounding the development, implementation, and proposed expansion of these programs. In Table 3 we propose an IDR definition and suggested taxonomy for future studies.
Acknowledgements
The authors acknowledge the support and insightful feedback of Dr. LeRoi Hicks in the preparation of this article.
Disclosure: Nothing to report.
- Interdisciplinary rounds: impact on patients, families, and staff. Clin Nurse Spec. 2003;17(3):133–142. , , , , , .
- A method to improve quality and safety of critically ill patients. Northeast Fla Med. 2007;58(3):16–19. .
- Improving the quality and safety of care on the medical ward: a review and synthesis of the evidence base. Eur J Intern Med. 2014;25(10):874–887. , , , .
- Pharmacists on rounding teams reduce preventable adverse drug events in hospital general medicine units. Arch Intern Med. 2003;163(17):2014–2018. , , , .
- The effect of multidisciplinary care teams on intensive care unit mortality. Arch Intern Med. 2010;170(4):369–376. , , , , , .
- Perspective: a business school view of medical interprofessional rounds: transforming rounding groups into rounding teams. Acad Med. 2012;87(12):1768–1771. , , .
- Institute for Healthcare Improvement. How‐to guide: multidisciplinary rounds. Available at: http://www.ihi.org/resources/Pages/Tools/HowtoGuideMultidisciplinaryRounds.aspx. Published 2010. Accessed January 1, 2015.
- Preferred Reporting Items for Systematic Reviews and Meta‐Analyses. PRISMA statement. Available at: http://prisma‐statement.org/. Accessed November 23, 2015.
- Effect of a multidisciplinary intervention on communication and collaboration among physicians and nurses. Am J Crit Care. 2005;14(1):71–77. , , , .
- Controlled trial of multidisciplinary care teams for acutely ill medical inpatients: enhanced multidisciplinary care. Intern Med J. 2006;36(9):558–563. , , , .
- The feasibility of creating a checklist for the assessment of the methodological quality both of randomised and non‐randomised studies of health care interventions. J Epidemiol Community Health. 1998;52:377–384. , .
- Effect of pharmacist participation on a medical team on costs, charges, and length of stay. Am J Hosp Pharm. 1991;48(7):1457–1462. , .
- Pharmacist influence on economic and morbidity outcomes in a tertiary care teaching hospital. Am J Health Syst Pharm. 1997;54(14):1591–1595. , , , , .
- Capturing outcomes of clinical activities performed by a rounding pharmacist practicing in a team environment: the COLLABORATE study. Med Care. 2009;47(6):642–650. , .
- Attitudes of nursing staff toward interprofessional in‐patient‐centered rounding. J Interprof Care. 2014;1820(5):475–477. , .
- Bedside interprofessional rounds: perceptions of benefits and barriers by internal medicine nursing staff, attending physicians, and housestaff physicians. J Hosp Med. 2014;9(10):646–651. , , , .
- Patient care centers improve outcomes. Continuum. 1999;19(1):14–19. , , , , , .
- Multidisciplinary meetings in medical admissions units. Nurs Times. 2004;100(44):34–36. , .
- Effects of interdisciplinary rounds on length of stay in a telemetry unit. J Public Health Manag Pract. 2004;10(1):63–69. , , , .
- Use of multidisciplinary rounds to simultaneously improve quality outcomes, enhance resident education, and shorten length of stay. J Gen Intern Med. 2007;22(8):1073–1079. , , , , .
- Applying athletic principles to medical rounds to improve teaching and patient care. Acad Med. 2014;89(7):1018–1023. , , , et al.
- Effects of an internal medicine floor interdisciplinary team on hospital and clinical outcomes of seniors with acute medical illness. Geriatr Gerontol Int. 2013;13:942–948. , , , et al.
- Multidisciplinary rounds (MDR): an implementation system for sustained improvement in the American Heart Association's Get With The Guidelines program. Crit Pathw Cardiol. 2007;6(3):106–116. , , , et al.
- A firm trial of interdisciplinary rounds on the inpatient medical wards: an intervention designed using continuous quality improvement. Med Care. 1998;36(8 suppl):AS4–AS12. , , .
- Impact of a nurse led multidisciplinary team on an acute medical admissions unit. Health Bull (Edinb). 2000;58(6):512–514. , , , .
- A controlled clinical trial of multidisciplinary team approach in the general medical wards of Chulalongkorn Hospital. J Med Assoc Thai. 1995;78(11):618–623. , , , et al.
- An alternative approach to reducing the costs of patient care? A controlled trial of the multi‐disciplinary doctor‐nurse practitioner (MDNP) model. Med Decis Making. 2006;26(1):9–17. , , , et al.
- Implementation of unit‐based interventions to improve teamwork and patient safety on a medical service. Am J Med Qual. 2015;30(5):409–416. , , , et al.
- Improving teamwork: impact of structured interdisciplinary rounds on a hospitalist unit. J Hosp Med. 2011;6(2):88–93. , , , , , .
- Improving teamwork: impact of structured interdisciplinary rounds on a medical teaching unit. J Gen Intern Med. 2010;25(8):826–832. , , , , , .
- Structured interdisciplinary rounds in a medical teaching unit. Arch Intern Med. 2011;171(7):678–684. , , , et al.
- Links among high‐performance work environment, service quality, and customer satisfaction: an extension to the healthcare sector. J Healthc Manag. 52(2):109–124; discussion 124–125. , , .
Interdisciplinary rounds (IDR) constitute a model of care where healthcare team members representing multiple disciplines meet to develop patient care plans. IDR allow input from a range of professionals without communication lag, thereby improving communication while incorporating diverse sets of information. IDR appear to improve collaboration among physicians and nurses,[1] increase compliance with guidelines,[2] improve safety and quality,[3] reduce adverse drug events,[4] and possibly lower mortality.[5] Recommendations have been published regarding implementation of IDR.[6] The Institute for Healthcare Improvement (IHI) supports IDR as a formal daily mechanism for identifying patient safety risks and determining daily goals.[7] IHI recommendations include guidance on team membership, patient and family participation, using a daily goals sheet, and addressing safety concerns. However, there is no standard definition of IDR. Consequently, there is variation in the design and outcomes, leading to a poor understanding of the relationship between the two. Although IDR are increasingly being used, to our knowledge, there is no published evidence regarding the optimal composition of IDR teams or how specific outcomes may be impacted by team composition or focus. This is a particular problem in general medicine units caring for patients with complex medical and social issues whose care involves several professionals. In addition, the results from other IDR settings may not be transferable to general medicine units.
Therefore, we conducted a systematic review of experimental, quasiexperimental, and observational studies to (1) document types of IDR on general medicine units, (2) categorize IDR interventions by similarities in team composition and focus, and (3) determine the differential impact of each category of intervention on outcomes including measures of efficiency, quality, safety, and satisfaction.
METHODS
This systematic review was performed according to the Preferred Reporting Items for Systematic Reviews and Meta‐Analyses (PRISMA) guidelines.[8]
Data Sources and Searches
We conducted systematic literature searches of databases including Ovid MEDLINE, Ovid MEDLINE In‐Process & Other Non‐Indexed Citations, Journals@Ovid, Cumulative Index to Nursing and Allied Health Literature (EBSCOhost), and PubMed (NCBI/National Library of Medicine) to identify English‐language articles published from 1990 to 2014. In Ovid MEDLINE, the librarians (E.M.J., E.B.) identified a combination of relevant Medical Subject Headings and keywords to capture the concepts of interdisciplinary rounds and general medicine hospital units. To identify additional relevant studies, we examined reference lists from included studies and review articles. A detailed search strategy for Ovid MEDLINE is included in the Supporting Information, Appendix A, in the online version of this article.
Study Selection
One author (V.S.B.) screened titles for abstract selection. Two reviewers (D.J.E. and V.S.B.) independently reviewed all abstracts for full‐text eligibility. A third reviewer adjudicated all inclusion disagreements (E.J.R.).
We included IDR studies where the attending physician or resident physician and at least one other healthcare team member (from a different discipline) managing a common group of patients was present. We used this as a screening criterion rather than a definition of IDR to include studies that would be relevant to the current climate in inpatient medicine. Although there is no accepted definition of IDR, IDR are generally designed as a process that involves several team members. However, we included studies that utilized fewer team members for completeness and to investigate possible linkages between design and outcomes. We included experimental, quasiexperimental, and observational studies on general medicine units in the English‐language literature. We were neutral to cardiac monitoring status and age of general medicine patients. We excluded studies lacking a definite IDR intervention or a study design. We excluded health care settings other than inpatient medicine, and intensive care units (ICUs) were excluded. A flow diagram outlining the study selection process appears as Supporting Information, Appendix B, in the online version of this article.
Data Extraction and Study Quality Assessment
We drafted an abstraction tool based on published reports of IDR.[9, 10] Three reviewers (V.S.B., D.J.E., and E.J.R.) independently tested the tool's applicability to several included articles. We developed the tool in an iterative process to come up with a final version by reviewer consensus. Two reviewers (V.S.B., S.S.S.) abstracted all articles. Disagreements were resolved through consensus.
We categorized abstraction elements into three categories: (1) study setting and characteristics, (2) IDR design, and (3) IDR outcomes. Study setting and characteristics included setting and location, type of unit, study design, and number of study participants (intervention vs control groups) when available. The IDR design category included timing, location, duration, and frequency of rounds, time per patient, presence of geographic colocation of physician's patients (geographic cohorting), use of team training for IDR teams, format of IDR (scripted vs free‐flowing discussion), use of patient communication tools, and use of safety checklists. Team composition was also included in the IDR design category. This included attending physician, bedside nurse, nurse leader or charge nurse, case manager, pharmacist, social worker, resident, and/or medical student. Some studies referenced a nurse or nurse leader who facilitated rounds, which we collected as a rounds manager, based on IHI recommendations. We were also interested in patient and family presence in rounds and documented such when available. The IDR outcomes category included hospital length of stay (LOS), cost per case, use of cardiac monitors, readmission rates, rates of venous thromboembolism:prophylaxis and occurrence, falls, skin breakdown, hospital‐acquired infections, and patient and staff satisfaction.
We modified the 27‐question Downs and Black quality scoring tool[11] to include 15 questions aligned with study characteristics relevant to IDR (see Supporting Information, Appendix C, in the online version of this article). Scoring was yes/no (1/0) for each quality indicator, allowing scores from 0 to 15. We categorized studies with scores 0 to 5 as low, 6 to 10 as medium, and 11 to 15 as high‐quality studies. Two reviewers (V.S.B. and S.S.S.) independently performed quality scoring of all articles, and disagreements were resolved through consensus.
Data Synthesis and Analysis
Due to significant variability in IDR characteristics, design and outcomes, a meta‐analysis was not feasible. As a result, we did a narrative review of IDR design and outcomes. To understand the potential causal pathways that relate IDR design to outcomes, we grouped studies with similar design and explored similarities in outcomes in those groups. We report the number of studies both as a number and percentage within each subgroup rounded to the nearest lower whole number.
RESULTS
The searches identified 12,692 titles. We eliminated duplicates and applied inclusion and exclusion criteria to titles and abstracts, leading to review of 259 full‐text articles. Hand searching yielded two additional titles. Of these, 239 articles were excluded, leaving 22 full‐text articles for abstraction. Study setting and characteristics appear as Table 1.
Author, Year | Title | Study Nation, Setting | Study Design |
Total Study Patients (IDR, Control Patients) |
No. of Study Subjects, If Not Patients; Total, Intervention, Control | Quality Score |
---|---|---|---|---|---|---|
| ||||||
Boyko et al., 1997 | Pharmacist influence on economic and morbidity outcomes in a tertiary care teaching hospital | USA, university | Quasiexperimental study | 867 (414 IDR, 453 control) | NA | 9 |
Haig et al., 1991 | Effect of pharmacist participation on a medical team on costs, charges, and length of stay | USA, community teaching | Observational study | 619 (287 IDR, 332 control) | NA | 8 |
Makowsky et al., 2009 | Capturing outcomes of clinical activities performed by a rounding pharmacist practicing in a team environment: the COLLABORATE study (NCT00351676) | Canada, university | Quasiexperimental study | 452 (220 IDR, 231 control) | NA | 11 |
Gallagher et al., 2004 | Multidisciplinary meetings in medical admissions units | UK, not reported | Observational study | Not reported | NA | 3 |
Gonzalo et al., 2014 | Bedside interprofessional rounds: perceptions and benefits of barriers by internal medicine nursing staff, attending physicians, and housestaff physicians | USA, university | Observational study | NA | 149/171 staff surveys completed | 11 |
Sharma et al., 2014 | Attitudes of nursing staff toward interprofessional in‐patientcentered rounding | USA, community nonteaching | Observational study | NA | 61/90 nurses responded (67% survey response rate); 61 pre‐IDR, 61 post‐IDR. | 7 |
Spitzer et al., 1999 | Patient care centers improve outcomes | UK, community nonteaching | Observational study | Not reported | NA | 5 |
Cameron et al., 2000 | Impact of a nurse‐led multidisciplinary team on an acute medical admissions unit | USA, university | Observational study | 1,000, no control | NA | 5 |
Curley et al., 1998 | A firm trial of interdisciplinary rounds on the inpatient medical wards | USA, university | RCT | 1,102 (567 IDR, 535 control) | NA | 11 |
Ellrodt et al., 2007 | Multidisciplinary rounds: an implementation system for sustained improvement in the American Heart Association's Get With the Guidelines Program | USA, university | Observational study | NA | NA | 6 |
Ettner et al., 2006 | An alternative approach to reducing the costs of patient care? A controlled trial of the multidisciplinary doctor‐nurse practitioner model | USA, university | Quasiexperimental study | Not reported | NA | 9 |
Jitapunkul et al., 1995 | A controlled clinical trial of a multidisciplinary team approach in the general medical wards of Chulalongkorn Hospital | Thailand, university | RCT | 843 (199 IDR, 644 control) | NA | 9 |
Mudge et al., 2006 | Controlled trial of multidisciplinary care teams for acutely ill medical inpatients: enhanced multidisciplinary care | Australia, university | Quasiexperimental study | 1,538 (792 IDR, 746 control) | NA | 12 |
O'Leary et al., 2010 | Improving teamwork: impact of structured interdisciplinary rounds on a medical teaching unit | USA, university | Quasiexperimental study | NA | 147/159 (92%) survey responders; resident physicians 88 (47 IDR, 41 control), nurses 59 (34 IDR, 25 control) | 13 |
O'Leary et al., 2015 | Implementation of unit‐based interventions to improve teamwork and patient safety on a medical service | USA, university | Observational study | 1,380 | NA | 11 |
O'Leary et al., 2011 | Improving teamwork: impact of structured interdisciplinary rounds on a hospitalist unit | USA, university | Quasiexperimental study | NA | 49/58 nurses responded; (84%) (24 IDR, 25 control) | 9 |
O'Leary et al., 2011 | Structured interdisciplinary rounds in a medical teaching unit: improving patient safety | USA, university | Observational study | 370 (185 IDR, 185 control) | NA | 10 |
O'Mahony et al., 2007 | Multidisciplinary rounds: early results of a resident focused initiative to improve clinical quality measures, promote systems based learning, and shorten inpatient length of stay | USA, community teaching | Observational study | Not reported | NA | 8 |
Southwick et al., 2014 | Applying athletic principles to medical rounds to improve teaching and patient care | USA, university | Quasiexperimental study | LOS phase 1:780. (363 IDR, 417 control); phase 2 455, (213 IDR, 242 control); readmissions: 1,235 (576 IDR, 659 control) | 21 attending physicians, (11 IDR, 10 control), residents (29 IDR, 24 control), medical students (23 IDR, 19 control) | 12 |
Vazirani et al., 2005 | Effect of a multidisciplinary intervention on communication and collaboration among physicians and nurses | USA, university | Quasiexperimental study | NA | 264/456 residents (58%), physicians 114/165 (69%), 325/358 (91%) response rates | 8 |
Wild et al., 2004 | Effects of interdisciplinary rounds on length of stay in a telemetry unit | USA, community teaching | RCT | 84 (42 IDR, 42 control) | NA | 13 |
Yoo et al., 2013 | Effects of an internal medicine floor interdisciplinary team on hospital and clinical outcomes of seniors with acute medical illness | USA, university | Quasiexperimental study | 484 (236 IDR, 248 control) | NA | 13 |
IDR Design
There were three areas of focus identified: pharmacist studies, bedside rounding studies, and interdisciplinary team studies. Table 2 summarizes IDR team composition and design features.
IDR Study Subgroup | Author | Type of IDR for Each patient | Safety/Quality Checklist | Attending Physician | Resident | Physician Leader | Nurse | Pharmacist | Case Manager | Social Worker | Physical Therapist | Rounds Manager | Patient | Medical Student | Time Spent per Patient | Geographic Cohorting | Order Writing | Team Training |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Author | LOS | Readmissions | Cost per Case | Adverse Events | Patient Satisfaction | VTE Prophylaxis Administration | Staff Satisfaction | Mortality | Functional Capacity | Study Findings | ||||||||
Bedside rounding studies | Author | Type of IDR for Each Patient | Safety/Quality Checklist | Attending Physician | Resident | Physician Leader | Nurse | Pharmacist | Case Manager | Social Worker | Physical Therapist | Rounds Manager | Patient | Medical Student | Time Spent per Patient | Geographic Cohorting | Order Writing | Team Training |
Author | LOS | Readmissions | Cost per Case | Adverse Events | Patient Satisfaction | VTE Prophylaxis Administration | Staff Satisfaction | Mortality | Functional Capacity | Study Findings | ||||||||
Interdisciplinary team studies | Author | Type of IDR for Each Patient | Safety/Quality checklist | Attending Physician | Resident | Physician Leader | Nurse | Pharmacist | Case Manager | Social Worker | Physical Therapist | Rounds Manager | Patient | Medical Student | Time Spent per Patient | Geographic Cohorting | Order Writing | Team Training |
Author | LOS | Readmissions | Cost per Case | Adverse Events | Patient Satisfaction | VTE Prophylaxis Administration | Staff Satisfaction | Mortality | Functional Capacity | Study Findings | ||||||||
| ||||||||||||||||||
Pharmacist studies | Boyko et al. | Free‐flowing discussion | ✓ | ✓ | ✓ | ✓ | ||||||||||||
Haig et al. | Free‐flowing discussion | ✓ | ✓ | ✓ | ||||||||||||||
Makowsky et al. | Not reported | ✓ | ✓ | ✓ | ||||||||||||||
Boyko et al. | NM | NM | NM | NM | NM | NM | NM | IDR vs control: LOS 4.2 vs 5.5 days (P < 0.0001), pharmacy costs $481 vs $782 (P < 0.001), hospital costs $4,501 vs $6,156 (P < 0.0001) | ||||||||||
Haig et al. | NM | NM | NM | NM | NM | NM | NM | IDR vs control: adjusted LOS 5.9 days vs 7.2 days (P = 0.003), adjusted hospital costs $6,122 vs $8,187 (P = 0.001) | ||||||||||
Makowsky et al. | NM | NM | NM | NM | NM | NM | NM | IDR vs control: core measure compliance 56.% vs 45.3%, 90‐day readmissions 36.2% vs 45.5%, odds ratio 0.63 | ||||||||||
Gallagher et al. | Free‐flowing discussion | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | |||||||||||
Gonzalo et al. | Not reported | ✓ | ✓ | ✓ | ✓ | ✓ | ||||||||||||
Sharma et al. | Not reported | ✓ | ✓ | ✓ | ||||||||||||||
Spitzer et al. | Discharge‐ focused discussion | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | |||||||||||
Gallagher et al. | NM | NM | NM | NM | NM | NM | NM | NM | Total number of discharges increased by 75% compared to the year prior from a medical admissions unit improving medical patient occupancy of surgical beds | |||||||||
Gonzalo et al. | NM | NM | NM | NM | NM | NM | NM | NM | Post‐IDR survey: Nursing satisfaction greater than provider satisfaction (P < 0.01); nursing satisfaction greater than resident satisfaction (P < 0.01) with IDR | |||||||||
Sharma et al. | NM | NM | NM | NM | NM | NM | NM | NM | Pre‐post IDR: nursing perception of improved communication 7% vs 54% (P < 0.001), improved rounding with hospitalists 3% vs 49% (P < 0.001), positive impact on workflow 5% vs 56% (P < 0.001), value as a team member 26% vs 56% (P = 0.018) | |||||||||
Spitzer et al. | * | NM | NM | NM | NM | NM | NM | NM | System‐wide patient satisfaction survey showed high ratings of patient satisfaction on plan of care; LOS reduction reported only in cardiology patients | |||||||||
Cameron et al. | Not reported | ✓ | ✓ | |||||||||||||||
Curley et al. | Scripted discussion | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ||||||||||
Ellrodt et al. | Scripted discussion | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | 90 s | ✓ | ✓ | ||||||||
Ettner et al. | Not reported | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ||||||||||
Jitapunkul et al. | Not reported | ✓ | ✓ | ✓ | ✓ | ✓ | ||||||||||||
Mudge et al. | Scripted discussion | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | |||||||||||
O'Leary et al. (teamwork, teaching unit) | Scripted discussion | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | |||||||
O'Leary et al. (implementation study) | Scripted discussion | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ||||||
O'Leary et al. (teamwork, hospitalist unit) | Scripted discussion | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | |||||||
O'Leary et al. (Improving safety, teaching unit) | Scripted discussion | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | 80 s | ✓ | ✓ | ||||||
O'Mahony et al. | Scripted discussion | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | 45120 s | ||||||||
Southwick et al. | Scripted discussion | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ||||||||||
Vazirani et al. | Not reported | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ||||||||||
Wild et al. | Discharge focused discussion | ✓ | ✓ | ✓ | ✓ | ✓ | 25 min | |||||||||||
Yoo et al. | Not reported | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ||||||||||
Cameron et al.[25] | * | NM | NM | NM | NM | NM | NM | NM | NM | In 1,000 patients seen in a medical admissions units, 26% were discharged home, which was perceived as appropriate, no comparison provided | ||||||||
Curley et al. | NM | NM | NM | NM | NM | NM | IDR vs control, mean LOS 5.46 vs 6.06 days (P = 0.006), total charges $6,681 vs $8,090 (P = 0.002) | |||||||||||
Ellrodt et al. | NM | NM | NM | NM | NM | NM | NM | Pre post IDR, VTE prophylaxis rates 65% vs 97% | ||||||||||
Ettner et al. | NM | NM | NM | NM | NM | NM | NM | IDR saved cost of hospital admission with savings of $978 considering IDR costs and hospital costs vs hospital costs for IDR vs control patients | ||||||||||
Jitapunkul et al. | NM | NM | NM | NM | NM | NM | NM | Mean LOS in IDR vs 1 of the control groups (total 3 controls) in the 60‐ to 74‐year‐old age group patients, 8.7 vs 12 days (P < 0.05) | ||||||||||
Mudge et al. | * | NM | NM | NM | NM | NM | IDR vs control: LOS 7.3 days vs 7.8 days (P = 0.18), in hospital mortality 3.9% vs 6.4% (P = 0.03), functional decline 3.2% vs 5.4% (P = 0.04) | |||||||||||
O'Leary et al. (teamwork, teaching unit) |
X | NM | NM | NM | NM | NM | NM | NM | IDR vs control: ratings by nurses on communication with physicians 74% control 44% (P = 0.02), residents 82% vs 77% (P = 0.01) | |||||||||
O'Leary et al. (implementation study) |
NM | NM | NM | X | NM | NM | NM | NM | Pre‐post IDR: team work rating 76% vs 80% (P = 0.02), range of score 0100 | |||||||||
O'Leary et al. (teamwork, hospitalist unit) |
NM | NM | NM | NM | NM | NM | NM | NM | IDR vs control: very high or high ratings by nurses on communication and collaboration with physicians 84% vs 54% (P = 0.05) | |||||||||
O'Leary et al.(improving safety, teaching unit) | NM | NM | NM | NM | NM | NM | NM | NM | IDR vs concurrent control vs historical control: rate of preventable adverse events/100 patient days 0.9 vs 2.8 (P = 0.002) vs 2.1 (P = 0.02) | |||||||||
O'Mahony et al. | NM | NM | NM | NM | NM | NM | NM | Decrease in average LOS by 0.5 days in patients with CHF, PNA, or AMI (P < 0.013), 0.6 days for all other diagnoses (P 0.001); improvement in core measure compliance with HF 65% pre‐IDR, 76% post‐IDR (P < 0.001), AMI pre‐IDR 89%, 96% post‐IDR (P < 0.002) and CAP (27% pre‐IDR to 70% post‐IDR (P < 0.001) | ||||||||||
Southwick et al. | NM | NM | X | NM | NM | NM | IDR vs control relative LOS 0.76 vs 0.93 (P = 0.010) | |||||||||||
Vazirani et al. | X | NM | NM | NM | NM | NM | NM | NM | IDR vs control group: physicians reported more collaboration with nurses than control group (P < 0.001); nurses in IDR and control group reported similar levels of collaboration with physicians (P = 0.47) | |||||||||
Wild et al. | X | NM | NM | NM | NM | NM | NM | NM | IDR vs control: LOS 2.7 days vs 3.04 days (P = 0.4); staff satisfaction questionnaire: improved communication on a scale of 110 perceived by doctors 8.25 vs nurses and ancillary staff 6.10 (P = 0.39) | |||||||||
Yoo et al. | X | NM | NM | NM | NM | NM | NM | NM | IDR vs control: mean LOS 6.1 days vs 6.8 days (P = 0.008) |
Pharmacist Studies (13% of All Studies)
The three studies in this group were characterized by a physician‐resident team rounding with a pharmacist.[12, 13, 14] Pharmacist recommendations were incorporated into patient plans of care.
Bedside Rounding Studies (18% of All Studies)
The four studies in this group were characterized by bedside rounding as a team with patients.[15, 16, 17, 18] All four studies included patient and family as partners in determining plans of care. Two studies[15, 16] (50%) described physician and nurse bedside rounding, whereas the other two[17, 18] (50%) included a larger complement of team members, notably a discharge planner. Timing, duration, use of IDR scripts, and team training were not reported.
Interdisciplinary Team Studies (68% of All Studies)
The 15 studies in this group were characterized by two or more team members rounding with a physician.[9, 10, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31] Thirteen studies (86%) reported rounding once a day in the morning, often restricted to weekdays only.[9, 14, 25, 27] Only four (26%) studies[19, 20, 23, 31] reported rounding time per patient. Eight (53%) studies[9, 21, 24, 27, 28, 29, 30, 31] reported geographic physician‐patient colocation. Ten (66%) studies[9, 21, 22, 23, 24, 27, 28, 29, 30, 31] reported training teams. Nine (60%) studies[10, 20, 21, 23, 24, 28, 29, 30, 31] reported a scripted discussion during rounds, with adherence to script measured in only two (13%) studies.[21, 28] Four (26%) studies[28, 29, 30, 31] reported using a safety checklist. Nurses, pharmacists, social workers, and case managers were the most common participants in IDR. Roles and responsibilities of individual team members were inconsistently described. Particularly, the role of case manager and social worker were not clearly defined, although it appeared that both roles contributed to discharge planning. Ten (66%) studies[9, 20, 23, 25, 27, 28, 29, 30, 31] reported an individual (usually a nurse or nurse leader) present as a manager and coach for rounds.
IDR Outcomes and Relationship Between Design and Outcomes
We report IDR outcomes within each IDR design group. Table 2 summarizes IDR design and outcomes.
Pharmacist Studies
All three studies in this group were of medium quality.[12, 13, 14] Two[12, 13] (66%) reported a reduction in LOS. Two studies[12, 13] (66%) reported a reduction in cost but used different definitions for cost. Boyko et al.[13] (defined as hospital costs) and Haig et al[12] (defined as hospital charges) studies reported a decrease in both pharmacy and total costs. Only one study[14] (33%) reported a decrease in readmission rates and a concomitant rise in LOS. Review of these studies suggests a relationship between pharmacist‐physician rounding and decrease in cost and LOS.
Bedside Rounding Studies
Only one[16] (25%) of the four studies is a high‐quality study.[15, 16, 17, 18] Three studies[15, 16, 17] (75%) focused on nurse‐physician bedside rounding. Only one study[17] reported patient satisfaction, which was measured using a local survey. Two studies[15, 16] (50%) reported increased satisfaction for rounding team members by both physicians and nurses. One[18] (25%) utilized a complement of team members, including a discharge planner at the bedside, and reported a decrease (not statistically significant) in LOS. These studies suggest (1) a relationship between bedside rounding and patient and team satisfaction and (2) large rounding team (possibly with a discharge planner) and efficiency.
Interdisciplinary Team Studies
Of the 15 interdisciplinary team studies,[9, 10, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31] there were seven high‐quality studies[10, 19, 21, 22, 24, 28, 30] (46%). LOS, cost, harm reduction, and patient and staff satisfaction are the commonly reported outcomes.
LOS
Five (33%) studies[20, 21, 22, 24, 26] reported a statistically significant decrease in LOS. Several of these studies utilized either a case manager[20, 21, 24] or a social worker[22, 26] in a discharge planning role. In these studies, physicians rounded with at least two but mostly three team members. Three[21, 22, 24] (20%) of the LOS studies were of high quality, were done on teaching units, and included a large complement of team members including a discharge planner. All three studies also trained teams to participate in IDR. One study[21] was a two‐phase study that demonstrated additional decrease in LOS after utilizing a case manager and training teams in communication. Two[10, 31] (13%; one medium and one high quality) other studies in this group that were designed similar to the above three studies used a large complement of team members, including a discharge planner and trained teams, but did not report LOS reduction. Overall, the results from the high‐quality studies point to larger teams, discharge planners, and team training as notable features possibly linked to LOS reduction.
Cost
Two (13%) of the 15 studies[24, 27] reported a decrease in cost per case, defined as hospital costs in the Ettner et al. study[27] and hospital charges in the Curley et al.[24] study. The Curley et al. study included a pharmacist similar to the studies[13, 12] in the pharmacist group. This led to the possibility that pharmacist presence in IDR could influence cost reductions. This hypothesis could have been more definitive if the several other studies[20, 21, 22] that utilized a pharmacist also measured cost.
Harm Reduction
Only three (20%) studies[10, 23, 31] reported reduction in patient harm as a result of IDR. Utilization of safety and quality checklists[28, 31] did not reliably demonstrate a decrease in adverse events. Two studies[10, 23] (13%) reported a decrease in mortality. Both studies had a large complement of team members, but we could not isolate any specific features in their model that would link their IDR design to outcomes.
Patient Satisfaction
Only one (6%) study[10] in this group reported improving patient satisfaction with IDR. This study did not include patients in IDR. With this being the only study in this group that reported patient satisfaction, we could not identify an IDR feature that could have led to improved patient satisfaction.
Staff Satisfaction
Although staff satisfaction has not been clearly linked to clinical outcomes, conceptual models[32] have been proposed linking staff satisfaction to patient reported outcomes. Several studies (71%) measured and reported improvement[9, 19, 20, 21, 24, 26, 27, 28, 30, 31] in staff satisfaction (all participants). Some studies reported more nursing satisfaction than physician,[16] and some reported more physician satisfaction than nurse.[19] Rounds manager, team training, and geographic cohorting were commonly reported in many of these studies.[9, 27, 29, 30, 31] However, we did not see a specific IDR model that could be linked to staff satisfaction.
DISCUSSION
In a systematic review of the literature on IDR in general medicine units, we found significant variability in IDR design, outcomes, and reporting. We found 3 different models of IDR: pharmacist focused, bedside rounding, and interdisciplinary team studies. There are data to suggest a relationship between IDR and improvements in LOS and staff satisfaction but little data on patient safety or satisfaction. Our review did not reveal clear causal pathways between IDR design and outcomes but allowed for generation of some hypotheses that require further testing:
- Physician‐pharmacist rounding may be related to decrease in LOS and cost.
- Presence of discharge planner, team training, and large complement of team members may be related to LOS reduction.
- Physician‐nurse or team rounding in general may be related to staff satisfaction.
The reviewed studies underscore the absence of a standardized definition of IDR, with no common process or outcome measures across studies. Few studies provided complete information on design, and even fewer reported similar outcomes, making it difficult to identify links between IDR characteristics and outcomes. As a result, we provide recommendations for an IDR definition and suggested future taxonomy studies (Table 3).
Reporting Study Setting and Characteristics | Reporting IDR Design | Standardization of IDR Outcomes |
---|---|---|
| ||
1. Institution size and academic affiliation | 1. Type of interdisciplinary rounding discussion (eg, free‐flowing vs scripted) | 1. Clinical outcomes and quality |
2. Patient characteristics and unit location | 2. Location, timing, duration, duration per patient, frequency | Adverse events |
3. Study design | 3. Use of safety/quality checklists and/or timeouts | Readmission rates |
4. Number of sites | 4. Information technology use in IDR | Patient satisfaction |
5. Number of study subjects | 5. Facilitative interventions (eg, geographic cohorting or team training) | 2. Compliance with clinical guidelines, core measures, safety |
6. Description of control groups/units | 6. IDR leadership | Heart failure, stroke, pneumonia guidelines |
7. IDR team members | VTE prophylaxis | |
8. Presence of patients and families | Bladder catheter use | |
9. Roles/responsibilities for each member | Central line use | |
3. Utilization metrics | ||
LOS | ||
Cost per case | ||
Telemetry monitoring | ||
Antibiotic stewardship | ||
4. Process measures | ||
Time spent in rounds | ||
Rate of adherence to script | ||
Team effectiveness | ||
Staff satisfaction | ||
Proposed IDR definition: IDR could be defined as a daily scripted interdisciplinary rounds process that includes a physician, incorporates patient and family in the decision‐making process (by use of specific mechanisms of communication or presence of patient in the IDR), and includes nursing staff, discharge planner, pharmacist, and a rounds manager. Team training, rounds management, and geographic rounding may be considered as facilitative interventions while designing IDR. |
Several studies (59%) were interested in LOS. From the high‐quality studies[21, 22, 24] that reported LOS reductions, it is notable that large teams, discharge planner presence, and team training are common features. This may be worth further investigation when focused on using IDR to decrease LOS, particularly in community settings, as these studies were done in academic institutions. Real‐time input from several team members, presence of a discharge planner, and highly effective teams could be a potential causal pathway to increased unit efficiency but should be rigorously tested.
All four studies[13, 12, 24, 27] that reported decreased hospital costs utilized a pharmacist, with three[13, 12, 24] of the four also reporting decreased LOS. Decreasing medication utilization and costs through pharmacist participation in IDR, as well as a decrease in LOS, could explain the hospital cost decreases found in these studies. Overall, it appears that pharmacist interventions tend to focus on cost and utilization.
It appears that geographic cohorting, team training, and utilizing a rounds manager are common features in studies that report staff satisfaction.[9, 27, 28, 29, 30, 31] Although we cannot draw any conclusions from this finding, the association can be used to generate a hypothesis. Although staff satisfaction could conceivably be improved through the improved communication inherent in IDR, it is also possible that team efficiency and satisfaction is further enhanced by geographic cohorting, team training, and utilizing a rounds manager.
The role of safety checklists remains unclear, as the gains demonstrated in the O'Leary et al. study[31] were not replicable, as the IDR intervention expanded[28] to several other units in their institution. The role of IDR in preventing adverse events is also unclear.
Although we were interested in patient and family participation and patient‐reported outcomes, in the bedside rounding studies,[15, 16, 17, 18] only one study[17] measured patient satisfaction. Overall, this review revealed limited data[10, 17] on patient satisfaction due to IDR. As a result, the relationship between patient and family participation in IDR and outcomes remains unclear and needs further study.
This review has limitations. Due to the small sample sizes and inconsistent reporting of data among studies, we had insufficient power for a 2 analysis to generate meaningful meta‐analytic results. Our search strategy, although inclusive, could have missed articles, so we compensated by manual searches. Selection of outcome‐driven studies could have eliminated quality improvement reports. Lack of publications of negative studies is also a potential problem that could have biased the review toward the positive impact of IDR interventions. Lastly, although the Downs and Black scoring tool is validated, our modified version has not been validated.
CONCLUSIONS
Our review revealed that IDR may be an important tool for improving efficiency and staff satisfaction, with the potential to improve safety. However, more deliberately designed and completely reported studies are needed to fully understand optimal IDR design. Given the difficulties of implementing robust, randomized, and controlled studies in this setting, standardizing the design and reporting elements of IDR is necessary to inform decision making surrounding the development, implementation, and proposed expansion of these programs. In Table 3 we propose an IDR definition and suggested taxonomy for future studies.
Acknowledgements
The authors acknowledge the support and insightful feedback of Dr. LeRoi Hicks in the preparation of this article.
Disclosure: Nothing to report.
Interdisciplinary rounds (IDR) constitute a model of care where healthcare team members representing multiple disciplines meet to develop patient care plans. IDR allow input from a range of professionals without communication lag, thereby improving communication while incorporating diverse sets of information. IDR appear to improve collaboration among physicians and nurses,[1] increase compliance with guidelines,[2] improve safety and quality,[3] reduce adverse drug events,[4] and possibly lower mortality.[5] Recommendations have been published regarding implementation of IDR.[6] The Institute for Healthcare Improvement (IHI) supports IDR as a formal daily mechanism for identifying patient safety risks and determining daily goals.[7] IHI recommendations include guidance on team membership, patient and family participation, using a daily goals sheet, and addressing safety concerns. However, there is no standard definition of IDR. Consequently, there is variation in the design and outcomes, leading to a poor understanding of the relationship between the two. Although IDR are increasingly being used, to our knowledge, there is no published evidence regarding the optimal composition of IDR teams or how specific outcomes may be impacted by team composition or focus. This is a particular problem in general medicine units caring for patients with complex medical and social issues whose care involves several professionals. In addition, the results from other IDR settings may not be transferable to general medicine units.
Therefore, we conducted a systematic review of experimental, quasiexperimental, and observational studies to (1) document types of IDR on general medicine units, (2) categorize IDR interventions by similarities in team composition and focus, and (3) determine the differential impact of each category of intervention on outcomes including measures of efficiency, quality, safety, and satisfaction.
METHODS
This systematic review was performed according to the Preferred Reporting Items for Systematic Reviews and Meta‐Analyses (PRISMA) guidelines.[8]
Data Sources and Searches
We conducted systematic literature searches of databases including Ovid MEDLINE, Ovid MEDLINE In‐Process & Other Non‐Indexed Citations, Journals@Ovid, Cumulative Index to Nursing and Allied Health Literature (EBSCOhost), and PubMed (NCBI/National Library of Medicine) to identify English‐language articles published from 1990 to 2014. In Ovid MEDLINE, the librarians (E.M.J., E.B.) identified a combination of relevant Medical Subject Headings and keywords to capture the concepts of interdisciplinary rounds and general medicine hospital units. To identify additional relevant studies, we examined reference lists from included studies and review articles. A detailed search strategy for Ovid MEDLINE is included in the Supporting Information, Appendix A, in the online version of this article.
Study Selection
One author (V.S.B.) screened titles for abstract selection. Two reviewers (D.J.E. and V.S.B.) independently reviewed all abstracts for full‐text eligibility. A third reviewer adjudicated all inclusion disagreements (E.J.R.).
We included IDR studies where the attending physician or resident physician and at least one other healthcare team member (from a different discipline) managing a common group of patients was present. We used this as a screening criterion rather than a definition of IDR to include studies that would be relevant to the current climate in inpatient medicine. Although there is no accepted definition of IDR, IDR are generally designed as a process that involves several team members. However, we included studies that utilized fewer team members for completeness and to investigate possible linkages between design and outcomes. We included experimental, quasiexperimental, and observational studies on general medicine units in the English‐language literature. We were neutral to cardiac monitoring status and age of general medicine patients. We excluded studies lacking a definite IDR intervention or a study design. We excluded health care settings other than inpatient medicine, and intensive care units (ICUs) were excluded. A flow diagram outlining the study selection process appears as Supporting Information, Appendix B, in the online version of this article.
Data Extraction and Study Quality Assessment
We drafted an abstraction tool based on published reports of IDR.[9, 10] Three reviewers (V.S.B., D.J.E., and E.J.R.) independently tested the tool's applicability to several included articles. We developed the tool in an iterative process to come up with a final version by reviewer consensus. Two reviewers (V.S.B., S.S.S.) abstracted all articles. Disagreements were resolved through consensus.
We categorized abstraction elements into three categories: (1) study setting and characteristics, (2) IDR design, and (3) IDR outcomes. Study setting and characteristics included setting and location, type of unit, study design, and number of study participants (intervention vs control groups) when available. The IDR design category included timing, location, duration, and frequency of rounds, time per patient, presence of geographic colocation of physician's patients (geographic cohorting), use of team training for IDR teams, format of IDR (scripted vs free‐flowing discussion), use of patient communication tools, and use of safety checklists. Team composition was also included in the IDR design category. This included attending physician, bedside nurse, nurse leader or charge nurse, case manager, pharmacist, social worker, resident, and/or medical student. Some studies referenced a nurse or nurse leader who facilitated rounds, which we collected as a rounds manager, based on IHI recommendations. We were also interested in patient and family presence in rounds and documented such when available. The IDR outcomes category included hospital length of stay (LOS), cost per case, use of cardiac monitors, readmission rates, rates of venous thromboembolism:prophylaxis and occurrence, falls, skin breakdown, hospital‐acquired infections, and patient and staff satisfaction.
We modified the 27‐question Downs and Black quality scoring tool[11] to include 15 questions aligned with study characteristics relevant to IDR (see Supporting Information, Appendix C, in the online version of this article). Scoring was yes/no (1/0) for each quality indicator, allowing scores from 0 to 15. We categorized studies with scores 0 to 5 as low, 6 to 10 as medium, and 11 to 15 as high‐quality studies. Two reviewers (V.S.B. and S.S.S.) independently performed quality scoring of all articles, and disagreements were resolved through consensus.
Data Synthesis and Analysis
Due to significant variability in IDR characteristics, design and outcomes, a meta‐analysis was not feasible. As a result, we did a narrative review of IDR design and outcomes. To understand the potential causal pathways that relate IDR design to outcomes, we grouped studies with similar design and explored similarities in outcomes in those groups. We report the number of studies both as a number and percentage within each subgroup rounded to the nearest lower whole number.
RESULTS
The searches identified 12,692 titles. We eliminated duplicates and applied inclusion and exclusion criteria to titles and abstracts, leading to review of 259 full‐text articles. Hand searching yielded two additional titles. Of these, 239 articles were excluded, leaving 22 full‐text articles for abstraction. Study setting and characteristics appear as Table 1.
Author, Year | Title | Study Nation, Setting | Study Design |
Total Study Patients (IDR, Control Patients) |
No. of Study Subjects, If Not Patients; Total, Intervention, Control | Quality Score |
---|---|---|---|---|---|---|
| ||||||
Boyko et al., 1997 | Pharmacist influence on economic and morbidity outcomes in a tertiary care teaching hospital | USA, university | Quasiexperimental study | 867 (414 IDR, 453 control) | NA | 9 |
Haig et al., 1991 | Effect of pharmacist participation on a medical team on costs, charges, and length of stay | USA, community teaching | Observational study | 619 (287 IDR, 332 control) | NA | 8 |
Makowsky et al., 2009 | Capturing outcomes of clinical activities performed by a rounding pharmacist practicing in a team environment: the COLLABORATE study (NCT00351676) | Canada, university | Quasiexperimental study | 452 (220 IDR, 231 control) | NA | 11 |
Gallagher et al., 2004 | Multidisciplinary meetings in medical admissions units | UK, not reported | Observational study | Not reported | NA | 3 |
Gonzalo et al., 2014 | Bedside interprofessional rounds: perceptions and benefits of barriers by internal medicine nursing staff, attending physicians, and housestaff physicians | USA, university | Observational study | NA | 149/171 staff surveys completed | 11 |
Sharma et al., 2014 | Attitudes of nursing staff toward interprofessional in‐patientcentered rounding | USA, community nonteaching | Observational study | NA | 61/90 nurses responded (67% survey response rate); 61 pre‐IDR, 61 post‐IDR. | 7 |
Spitzer et al., 1999 | Patient care centers improve outcomes | UK, community nonteaching | Observational study | Not reported | NA | 5 |
Cameron et al., 2000 | Impact of a nurse‐led multidisciplinary team on an acute medical admissions unit | USA, university | Observational study | 1,000, no control | NA | 5 |
Curley et al., 1998 | A firm trial of interdisciplinary rounds on the inpatient medical wards | USA, university | RCT | 1,102 (567 IDR, 535 control) | NA | 11 |
Ellrodt et al., 2007 | Multidisciplinary rounds: an implementation system for sustained improvement in the American Heart Association's Get With the Guidelines Program | USA, university | Observational study | NA | NA | 6 |
Ettner et al., 2006 | An alternative approach to reducing the costs of patient care? A controlled trial of the multidisciplinary doctor‐nurse practitioner model | USA, university | Quasiexperimental study | Not reported | NA | 9 |
Jitapunkul et al., 1995 | A controlled clinical trial of a multidisciplinary team approach in the general medical wards of Chulalongkorn Hospital | Thailand, university | RCT | 843 (199 IDR, 644 control) | NA | 9 |
Mudge et al., 2006 | Controlled trial of multidisciplinary care teams for acutely ill medical inpatients: enhanced multidisciplinary care | Australia, university | Quasiexperimental study | 1,538 (792 IDR, 746 control) | NA | 12 |
O'Leary et al., 2010 | Improving teamwork: impact of structured interdisciplinary rounds on a medical teaching unit | USA, university | Quasiexperimental study | NA | 147/159 (92%) survey responders; resident physicians 88 (47 IDR, 41 control), nurses 59 (34 IDR, 25 control) | 13 |
O'Leary et al., 2015 | Implementation of unit‐based interventions to improve teamwork and patient safety on a medical service | USA, university | Observational study | 1,380 | NA | 11 |
O'Leary et al., 2011 | Improving teamwork: impact of structured interdisciplinary rounds on a hospitalist unit | USA, university | Quasiexperimental study | NA | 49/58 nurses responded; (84%) (24 IDR, 25 control) | 9 |
O'Leary et al., 2011 | Structured interdisciplinary rounds in a medical teaching unit: improving patient safety | USA, university | Observational study | 370 (185 IDR, 185 control) | NA | 10 |
O'Mahony et al., 2007 | Multidisciplinary rounds: early results of a resident focused initiative to improve clinical quality measures, promote systems based learning, and shorten inpatient length of stay | USA, community teaching | Observational study | Not reported | NA | 8 |
Southwick et al., 2014 | Applying athletic principles to medical rounds to improve teaching and patient care | USA, university | Quasiexperimental study | LOS phase 1:780. (363 IDR, 417 control); phase 2 455, (213 IDR, 242 control); readmissions: 1,235 (576 IDR, 659 control) | 21 attending physicians, (11 IDR, 10 control), residents (29 IDR, 24 control), medical students (23 IDR, 19 control) | 12 |
Vazirani et al., 2005 | Effect of a multidisciplinary intervention on communication and collaboration among physicians and nurses | USA, university | Quasiexperimental study | NA | 264/456 residents (58%), physicians 114/165 (69%), 325/358 (91%) response rates | 8 |
Wild et al., 2004 | Effects of interdisciplinary rounds on length of stay in a telemetry unit | USA, community teaching | RCT | 84 (42 IDR, 42 control) | NA | 13 |
Yoo et al., 2013 | Effects of an internal medicine floor interdisciplinary team on hospital and clinical outcomes of seniors with acute medical illness | USA, university | Quasiexperimental study | 484 (236 IDR, 248 control) | NA | 13 |
IDR Design
There were three areas of focus identified: pharmacist studies, bedside rounding studies, and interdisciplinary team studies. Table 2 summarizes IDR team composition and design features.
IDR Study Subgroup | Author | Type of IDR for Each patient | Safety/Quality Checklist | Attending Physician | Resident | Physician Leader | Nurse | Pharmacist | Case Manager | Social Worker | Physical Therapist | Rounds Manager | Patient | Medical Student | Time Spent per Patient | Geographic Cohorting | Order Writing | Team Training |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Author | LOS | Readmissions | Cost per Case | Adverse Events | Patient Satisfaction | VTE Prophylaxis Administration | Staff Satisfaction | Mortality | Functional Capacity | Study Findings | ||||||||
Bedside rounding studies | Author | Type of IDR for Each Patient | Safety/Quality Checklist | Attending Physician | Resident | Physician Leader | Nurse | Pharmacist | Case Manager | Social Worker | Physical Therapist | Rounds Manager | Patient | Medical Student | Time Spent per Patient | Geographic Cohorting | Order Writing | Team Training |
Author | LOS | Readmissions | Cost per Case | Adverse Events | Patient Satisfaction | VTE Prophylaxis Administration | Staff Satisfaction | Mortality | Functional Capacity | Study Findings | ||||||||
Interdisciplinary team studies | Author | Type of IDR for Each Patient | Safety/Quality checklist | Attending Physician | Resident | Physician Leader | Nurse | Pharmacist | Case Manager | Social Worker | Physical Therapist | Rounds Manager | Patient | Medical Student | Time Spent per Patient | Geographic Cohorting | Order Writing | Team Training |
Author | LOS | Readmissions | Cost per Case | Adverse Events | Patient Satisfaction | VTE Prophylaxis Administration | Staff Satisfaction | Mortality | Functional Capacity | Study Findings | ||||||||
| ||||||||||||||||||
Pharmacist studies | Boyko et al. | Free‐flowing discussion | ✓ | ✓ | ✓ | ✓ | ||||||||||||
Haig et al. | Free‐flowing discussion | ✓ | ✓ | ✓ | ||||||||||||||
Makowsky et al. | Not reported | ✓ | ✓ | ✓ | ||||||||||||||
Boyko et al. | NM | NM | NM | NM | NM | NM | NM | IDR vs control: LOS 4.2 vs 5.5 days (P < 0.0001), pharmacy costs $481 vs $782 (P < 0.001), hospital costs $4,501 vs $6,156 (P < 0.0001) | ||||||||||
Haig et al. | NM | NM | NM | NM | NM | NM | NM | IDR vs control: adjusted LOS 5.9 days vs 7.2 days (P = 0.003), adjusted hospital costs $6,122 vs $8,187 (P = 0.001) | ||||||||||
Makowsky et al. | NM | NM | NM | NM | NM | NM | NM | IDR vs control: core measure compliance 56.% vs 45.3%, 90‐day readmissions 36.2% vs 45.5%, odds ratio 0.63 | ||||||||||
Gallagher et al. | Free‐flowing discussion | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | |||||||||||
Gonzalo et al. | Not reported | ✓ | ✓ | ✓ | ✓ | ✓ | ||||||||||||
Sharma et al. | Not reported | ✓ | ✓ | ✓ | ||||||||||||||
Spitzer et al. | Discharge‐ focused discussion | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | |||||||||||
Gallagher et al. | NM | NM | NM | NM | NM | NM | NM | NM | Total number of discharges increased by 75% compared to the year prior from a medical admissions unit improving medical patient occupancy of surgical beds | |||||||||
Gonzalo et al. | NM | NM | NM | NM | NM | NM | NM | NM | Post‐IDR survey: Nursing satisfaction greater than provider satisfaction (P < 0.01); nursing satisfaction greater than resident satisfaction (P < 0.01) with IDR | |||||||||
Sharma et al. | NM | NM | NM | NM | NM | NM | NM | NM | Pre‐post IDR: nursing perception of improved communication 7% vs 54% (P < 0.001), improved rounding with hospitalists 3% vs 49% (P < 0.001), positive impact on workflow 5% vs 56% (P < 0.001), value as a team member 26% vs 56% (P = 0.018) | |||||||||
Spitzer et al. | * | NM | NM | NM | NM | NM | NM | NM | System‐wide patient satisfaction survey showed high ratings of patient satisfaction on plan of care; LOS reduction reported only in cardiology patients | |||||||||
Cameron et al. | Not reported | ✓ | ✓ | |||||||||||||||
Curley et al. | Scripted discussion | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ||||||||||
Ellrodt et al. | Scripted discussion | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | 90 s | ✓ | ✓ | ||||||||
Ettner et al. | Not reported | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ||||||||||
Jitapunkul et al. | Not reported | ✓ | ✓ | ✓ | ✓ | ✓ | ||||||||||||
Mudge et al. | Scripted discussion | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | |||||||||||
O'Leary et al. (teamwork, teaching unit) | Scripted discussion | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | |||||||
O'Leary et al. (implementation study) | Scripted discussion | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ||||||
O'Leary et al. (teamwork, hospitalist unit) | Scripted discussion | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | |||||||
O'Leary et al. (Improving safety, teaching unit) | Scripted discussion | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | 80 s | ✓ | ✓ | ||||||
O'Mahony et al. | Scripted discussion | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | 45120 s | ||||||||
Southwick et al. | Scripted discussion | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ||||||||||
Vazirani et al. | Not reported | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ||||||||||
Wild et al. | Discharge focused discussion | ✓ | ✓ | ✓ | ✓ | ✓ | 25 min | |||||||||||
Yoo et al. | Not reported | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ||||||||||
Cameron et al.[25] | * | NM | NM | NM | NM | NM | NM | NM | NM | In 1,000 patients seen in a medical admissions units, 26% were discharged home, which was perceived as appropriate, no comparison provided | ||||||||
Curley et al. | NM | NM | NM | NM | NM | NM | IDR vs control, mean LOS 5.46 vs 6.06 days (P = 0.006), total charges $6,681 vs $8,090 (P = 0.002) | |||||||||||
Ellrodt et al. | NM | NM | NM | NM | NM | NM | NM | Pre post IDR, VTE prophylaxis rates 65% vs 97% | ||||||||||
Ettner et al. | NM | NM | NM | NM | NM | NM | NM | IDR saved cost of hospital admission with savings of $978 considering IDR costs and hospital costs vs hospital costs for IDR vs control patients | ||||||||||
Jitapunkul et al. | NM | NM | NM | NM | NM | NM | NM | Mean LOS in IDR vs 1 of the control groups (total 3 controls) in the 60‐ to 74‐year‐old age group patients, 8.7 vs 12 days (P < 0.05) | ||||||||||
Mudge et al. | * | NM | NM | NM | NM | NM | IDR vs control: LOS 7.3 days vs 7.8 days (P = 0.18), in hospital mortality 3.9% vs 6.4% (P = 0.03), functional decline 3.2% vs 5.4% (P = 0.04) | |||||||||||
O'Leary et al. (teamwork, teaching unit) |
X | NM | NM | NM | NM | NM | NM | NM | IDR vs control: ratings by nurses on communication with physicians 74% control 44% (P = 0.02), residents 82% vs 77% (P = 0.01) | |||||||||
O'Leary et al. (implementation study) |
NM | NM | NM | X | NM | NM | NM | NM | Pre‐post IDR: team work rating 76% vs 80% (P = 0.02), range of score 0100 | |||||||||
O'Leary et al. (teamwork, hospitalist unit) |
NM | NM | NM | NM | NM | NM | NM | NM | IDR vs control: very high or high ratings by nurses on communication and collaboration with physicians 84% vs 54% (P = 0.05) | |||||||||
O'Leary et al.(improving safety, teaching unit) | NM | NM | NM | NM | NM | NM | NM | NM | IDR vs concurrent control vs historical control: rate of preventable adverse events/100 patient days 0.9 vs 2.8 (P = 0.002) vs 2.1 (P = 0.02) | |||||||||
O'Mahony et al. | NM | NM | NM | NM | NM | NM | NM | Decrease in average LOS by 0.5 days in patients with CHF, PNA, or AMI (P < 0.013), 0.6 days for all other diagnoses (P 0.001); improvement in core measure compliance with HF 65% pre‐IDR, 76% post‐IDR (P < 0.001), AMI pre‐IDR 89%, 96% post‐IDR (P < 0.002) and CAP (27% pre‐IDR to 70% post‐IDR (P < 0.001) | ||||||||||
Southwick et al. | NM | NM | X | NM | NM | NM | IDR vs control relative LOS 0.76 vs 0.93 (P = 0.010) | |||||||||||
Vazirani et al. | X | NM | NM | NM | NM | NM | NM | NM | IDR vs control group: physicians reported more collaboration with nurses than control group (P < 0.001); nurses in IDR and control group reported similar levels of collaboration with physicians (P = 0.47) | |||||||||
Wild et al. | X | NM | NM | NM | NM | NM | NM | NM | IDR vs control: LOS 2.7 days vs 3.04 days (P = 0.4); staff satisfaction questionnaire: improved communication on a scale of 110 perceived by doctors 8.25 vs nurses and ancillary staff 6.10 (P = 0.39) | |||||||||
Yoo et al. | X | NM | NM | NM | NM | NM | NM | NM | IDR vs control: mean LOS 6.1 days vs 6.8 days (P = 0.008) |
Pharmacist Studies (13% of All Studies)
The three studies in this group were characterized by a physician‐resident team rounding with a pharmacist.[12, 13, 14] Pharmacist recommendations were incorporated into patient plans of care.
Bedside Rounding Studies (18% of All Studies)
The four studies in this group were characterized by bedside rounding as a team with patients.[15, 16, 17, 18] All four studies included patient and family as partners in determining plans of care. Two studies[15, 16] (50%) described physician and nurse bedside rounding, whereas the other two[17, 18] (50%) included a larger complement of team members, notably a discharge planner. Timing, duration, use of IDR scripts, and team training were not reported.
Interdisciplinary Team Studies (68% of All Studies)
The 15 studies in this group were characterized by two or more team members rounding with a physician.[9, 10, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31] Thirteen studies (86%) reported rounding once a day in the morning, often restricted to weekdays only.[9, 14, 25, 27] Only four (26%) studies[19, 20, 23, 31] reported rounding time per patient. Eight (53%) studies[9, 21, 24, 27, 28, 29, 30, 31] reported geographic physician‐patient colocation. Ten (66%) studies[9, 21, 22, 23, 24, 27, 28, 29, 30, 31] reported training teams. Nine (60%) studies[10, 20, 21, 23, 24, 28, 29, 30, 31] reported a scripted discussion during rounds, with adherence to script measured in only two (13%) studies.[21, 28] Four (26%) studies[28, 29, 30, 31] reported using a safety checklist. Nurses, pharmacists, social workers, and case managers were the most common participants in IDR. Roles and responsibilities of individual team members were inconsistently described. Particularly, the role of case manager and social worker were not clearly defined, although it appeared that both roles contributed to discharge planning. Ten (66%) studies[9, 20, 23, 25, 27, 28, 29, 30, 31] reported an individual (usually a nurse or nurse leader) present as a manager and coach for rounds.
IDR Outcomes and Relationship Between Design and Outcomes
We report IDR outcomes within each IDR design group. Table 2 summarizes IDR design and outcomes.
Pharmacist Studies
All three studies in this group were of medium quality.[12, 13, 14] Two[12, 13] (66%) reported a reduction in LOS. Two studies[12, 13] (66%) reported a reduction in cost but used different definitions for cost. Boyko et al.[13] (defined as hospital costs) and Haig et al[12] (defined as hospital charges) studies reported a decrease in both pharmacy and total costs. Only one study[14] (33%) reported a decrease in readmission rates and a concomitant rise in LOS. Review of these studies suggests a relationship between pharmacist‐physician rounding and decrease in cost and LOS.
Bedside Rounding Studies
Only one[16] (25%) of the four studies is a high‐quality study.[15, 16, 17, 18] Three studies[15, 16, 17] (75%) focused on nurse‐physician bedside rounding. Only one study[17] reported patient satisfaction, which was measured using a local survey. Two studies[15, 16] (50%) reported increased satisfaction for rounding team members by both physicians and nurses. One[18] (25%) utilized a complement of team members, including a discharge planner at the bedside, and reported a decrease (not statistically significant) in LOS. These studies suggest (1) a relationship between bedside rounding and patient and team satisfaction and (2) large rounding team (possibly with a discharge planner) and efficiency.
Interdisciplinary Team Studies
Of the 15 interdisciplinary team studies,[9, 10, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31] there were seven high‐quality studies[10, 19, 21, 22, 24, 28, 30] (46%). LOS, cost, harm reduction, and patient and staff satisfaction are the commonly reported outcomes.
LOS
Five (33%) studies[20, 21, 22, 24, 26] reported a statistically significant decrease in LOS. Several of these studies utilized either a case manager[20, 21, 24] or a social worker[22, 26] in a discharge planning role. In these studies, physicians rounded with at least two but mostly three team members. Three[21, 22, 24] (20%) of the LOS studies were of high quality, were done on teaching units, and included a large complement of team members including a discharge planner. All three studies also trained teams to participate in IDR. One study[21] was a two‐phase study that demonstrated additional decrease in LOS after utilizing a case manager and training teams in communication. Two[10, 31] (13%; one medium and one high quality) other studies in this group that were designed similar to the above three studies used a large complement of team members, including a discharge planner and trained teams, but did not report LOS reduction. Overall, the results from the high‐quality studies point to larger teams, discharge planners, and team training as notable features possibly linked to LOS reduction.
Cost
Two (13%) of the 15 studies[24, 27] reported a decrease in cost per case, defined as hospital costs in the Ettner et al. study[27] and hospital charges in the Curley et al.[24] study. The Curley et al. study included a pharmacist similar to the studies[13, 12] in the pharmacist group. This led to the possibility that pharmacist presence in IDR could influence cost reductions. This hypothesis could have been more definitive if the several other studies[20, 21, 22] that utilized a pharmacist also measured cost.
Harm Reduction
Only three (20%) studies[10, 23, 31] reported reduction in patient harm as a result of IDR. Utilization of safety and quality checklists[28, 31] did not reliably demonstrate a decrease in adverse events. Two studies[10, 23] (13%) reported a decrease in mortality. Both studies had a large complement of team members, but we could not isolate any specific features in their model that would link their IDR design to outcomes.
Patient Satisfaction
Only one (6%) study[10] in this group reported improving patient satisfaction with IDR. This study did not include patients in IDR. With this being the only study in this group that reported patient satisfaction, we could not identify an IDR feature that could have led to improved patient satisfaction.
Staff Satisfaction
Although staff satisfaction has not been clearly linked to clinical outcomes, conceptual models[32] have been proposed linking staff satisfaction to patient reported outcomes. Several studies (71%) measured and reported improvement[9, 19, 20, 21, 24, 26, 27, 28, 30, 31] in staff satisfaction (all participants). Some studies reported more nursing satisfaction than physician,[16] and some reported more physician satisfaction than nurse.[19] Rounds manager, team training, and geographic cohorting were commonly reported in many of these studies.[9, 27, 29, 30, 31] However, we did not see a specific IDR model that could be linked to staff satisfaction.
DISCUSSION
In a systematic review of the literature on IDR in general medicine units, we found significant variability in IDR design, outcomes, and reporting. We found 3 different models of IDR: pharmacist focused, bedside rounding, and interdisciplinary team studies. There are data to suggest a relationship between IDR and improvements in LOS and staff satisfaction but little data on patient safety or satisfaction. Our review did not reveal clear causal pathways between IDR design and outcomes but allowed for generation of some hypotheses that require further testing:
- Physician‐pharmacist rounding may be related to decrease in LOS and cost.
- Presence of discharge planner, team training, and large complement of team members may be related to LOS reduction.
- Physician‐nurse or team rounding in general may be related to staff satisfaction.
The reviewed studies underscore the absence of a standardized definition of IDR, with no common process or outcome measures across studies. Few studies provided complete information on design, and even fewer reported similar outcomes, making it difficult to identify links between IDR characteristics and outcomes. As a result, we provide recommendations for an IDR definition and suggested future taxonomy studies (Table 3).
Reporting Study Setting and Characteristics | Reporting IDR Design | Standardization of IDR Outcomes |
---|---|---|
| ||
1. Institution size and academic affiliation | 1. Type of interdisciplinary rounding discussion (eg, free‐flowing vs scripted) | 1. Clinical outcomes and quality |
2. Patient characteristics and unit location | 2. Location, timing, duration, duration per patient, frequency | Adverse events |
3. Study design | 3. Use of safety/quality checklists and/or timeouts | Readmission rates |
4. Number of sites | 4. Information technology use in IDR | Patient satisfaction |
5. Number of study subjects | 5. Facilitative interventions (eg, geographic cohorting or team training) | 2. Compliance with clinical guidelines, core measures, safety |
6. Description of control groups/units | 6. IDR leadership | Heart failure, stroke, pneumonia guidelines |
7. IDR team members | VTE prophylaxis | |
8. Presence of patients and families | Bladder catheter use | |
9. Roles/responsibilities for each member | Central line use | |
3. Utilization metrics | ||
LOS | ||
Cost per case | ||
Telemetry monitoring | ||
Antibiotic stewardship | ||
4. Process measures | ||
Time spent in rounds | ||
Rate of adherence to script | ||
Team effectiveness | ||
Staff satisfaction | ||
Proposed IDR definition: IDR could be defined as a daily scripted interdisciplinary rounds process that includes a physician, incorporates patient and family in the decision‐making process (by use of specific mechanisms of communication or presence of patient in the IDR), and includes nursing staff, discharge planner, pharmacist, and a rounds manager. Team training, rounds management, and geographic rounding may be considered as facilitative interventions while designing IDR. |
Several studies (59%) were interested in LOS. From the high‐quality studies[21, 22, 24] that reported LOS reductions, it is notable that large teams, discharge planner presence, and team training are common features. This may be worth further investigation when focused on using IDR to decrease LOS, particularly in community settings, as these studies were done in academic institutions. Real‐time input from several team members, presence of a discharge planner, and highly effective teams could be a potential causal pathway to increased unit efficiency but should be rigorously tested.
All four studies[13, 12, 24, 27] that reported decreased hospital costs utilized a pharmacist, with three[13, 12, 24] of the four also reporting decreased LOS. Decreasing medication utilization and costs through pharmacist participation in IDR, as well as a decrease in LOS, could explain the hospital cost decreases found in these studies. Overall, it appears that pharmacist interventions tend to focus on cost and utilization.
It appears that geographic cohorting, team training, and utilizing a rounds manager are common features in studies that report staff satisfaction.[9, 27, 28, 29, 30, 31] Although we cannot draw any conclusions from this finding, the association can be used to generate a hypothesis. Although staff satisfaction could conceivably be improved through the improved communication inherent in IDR, it is also possible that team efficiency and satisfaction is further enhanced by geographic cohorting, team training, and utilizing a rounds manager.
The role of safety checklists remains unclear, as the gains demonstrated in the O'Leary et al. study[31] were not replicable, as the IDR intervention expanded[28] to several other units in their institution. The role of IDR in preventing adverse events is also unclear.
Although we were interested in patient and family participation and patient‐reported outcomes, in the bedside rounding studies,[15, 16, 17, 18] only one study[17] measured patient satisfaction. Overall, this review revealed limited data[10, 17] on patient satisfaction due to IDR. As a result, the relationship between patient and family participation in IDR and outcomes remains unclear and needs further study.
This review has limitations. Due to the small sample sizes and inconsistent reporting of data among studies, we had insufficient power for a 2 analysis to generate meaningful meta‐analytic results. Our search strategy, although inclusive, could have missed articles, so we compensated by manual searches. Selection of outcome‐driven studies could have eliminated quality improvement reports. Lack of publications of negative studies is also a potential problem that could have biased the review toward the positive impact of IDR interventions. Lastly, although the Downs and Black scoring tool is validated, our modified version has not been validated.
CONCLUSIONS
Our review revealed that IDR may be an important tool for improving efficiency and staff satisfaction, with the potential to improve safety. However, more deliberately designed and completely reported studies are needed to fully understand optimal IDR design. Given the difficulties of implementing robust, randomized, and controlled studies in this setting, standardizing the design and reporting elements of IDR is necessary to inform decision making surrounding the development, implementation, and proposed expansion of these programs. In Table 3 we propose an IDR definition and suggested taxonomy for future studies.
Acknowledgements
The authors acknowledge the support and insightful feedback of Dr. LeRoi Hicks in the preparation of this article.
Disclosure: Nothing to report.
- Interdisciplinary rounds: impact on patients, families, and staff. Clin Nurse Spec. 2003;17(3):133–142. , , , , , .
- A method to improve quality and safety of critically ill patients. Northeast Fla Med. 2007;58(3):16–19. .
- Improving the quality and safety of care on the medical ward: a review and synthesis of the evidence base. Eur J Intern Med. 2014;25(10):874–887. , , , .
- Pharmacists on rounding teams reduce preventable adverse drug events in hospital general medicine units. Arch Intern Med. 2003;163(17):2014–2018. , , , .
- The effect of multidisciplinary care teams on intensive care unit mortality. Arch Intern Med. 2010;170(4):369–376. , , , , , .
- Perspective: a business school view of medical interprofessional rounds: transforming rounding groups into rounding teams. Acad Med. 2012;87(12):1768–1771. , , .
- Institute for Healthcare Improvement. How‐to guide: multidisciplinary rounds. Available at: http://www.ihi.org/resources/Pages/Tools/HowtoGuideMultidisciplinaryRounds.aspx. Published 2010. Accessed January 1, 2015.
- Preferred Reporting Items for Systematic Reviews and Meta‐Analyses. PRISMA statement. Available at: http://prisma‐statement.org/. Accessed November 23, 2015.
- Effect of a multidisciplinary intervention on communication and collaboration among physicians and nurses. Am J Crit Care. 2005;14(1):71–77. , , , .
- Controlled trial of multidisciplinary care teams for acutely ill medical inpatients: enhanced multidisciplinary care. Intern Med J. 2006;36(9):558–563. , , , .
- The feasibility of creating a checklist for the assessment of the methodological quality both of randomised and non‐randomised studies of health care interventions. J Epidemiol Community Health. 1998;52:377–384. , .
- Effect of pharmacist participation on a medical team on costs, charges, and length of stay. Am J Hosp Pharm. 1991;48(7):1457–1462. , .
- Pharmacist influence on economic and morbidity outcomes in a tertiary care teaching hospital. Am J Health Syst Pharm. 1997;54(14):1591–1595. , , , , .
- Capturing outcomes of clinical activities performed by a rounding pharmacist practicing in a team environment: the COLLABORATE study. Med Care. 2009;47(6):642–650. , .
- Attitudes of nursing staff toward interprofessional in‐patient‐centered rounding. J Interprof Care. 2014;1820(5):475–477. , .
- Bedside interprofessional rounds: perceptions of benefits and barriers by internal medicine nursing staff, attending physicians, and housestaff physicians. J Hosp Med. 2014;9(10):646–651. , , , .
- Patient care centers improve outcomes. Continuum. 1999;19(1):14–19. , , , , , .
- Multidisciplinary meetings in medical admissions units. Nurs Times. 2004;100(44):34–36. , .
- Effects of interdisciplinary rounds on length of stay in a telemetry unit. J Public Health Manag Pract. 2004;10(1):63–69. , , , .
- Use of multidisciplinary rounds to simultaneously improve quality outcomes, enhance resident education, and shorten length of stay. J Gen Intern Med. 2007;22(8):1073–1079. , , , , .
- Applying athletic principles to medical rounds to improve teaching and patient care. Acad Med. 2014;89(7):1018–1023. , , , et al.
- Effects of an internal medicine floor interdisciplinary team on hospital and clinical outcomes of seniors with acute medical illness. Geriatr Gerontol Int. 2013;13:942–948. , , , et al.
- Multidisciplinary rounds (MDR): an implementation system for sustained improvement in the American Heart Association's Get With The Guidelines program. Crit Pathw Cardiol. 2007;6(3):106–116. , , , et al.
- A firm trial of interdisciplinary rounds on the inpatient medical wards: an intervention designed using continuous quality improvement. Med Care. 1998;36(8 suppl):AS4–AS12. , , .
- Impact of a nurse led multidisciplinary team on an acute medical admissions unit. Health Bull (Edinb). 2000;58(6):512–514. , , , .
- A controlled clinical trial of multidisciplinary team approach in the general medical wards of Chulalongkorn Hospital. J Med Assoc Thai. 1995;78(11):618–623. , , , et al.
- An alternative approach to reducing the costs of patient care? A controlled trial of the multi‐disciplinary doctor‐nurse practitioner (MDNP) model. Med Decis Making. 2006;26(1):9–17. , , , et al.
- Implementation of unit‐based interventions to improve teamwork and patient safety on a medical service. Am J Med Qual. 2015;30(5):409–416. , , , et al.
- Improving teamwork: impact of structured interdisciplinary rounds on a hospitalist unit. J Hosp Med. 2011;6(2):88–93. , , , , , .
- Improving teamwork: impact of structured interdisciplinary rounds on a medical teaching unit. J Gen Intern Med. 2010;25(8):826–832. , , , , , .
- Structured interdisciplinary rounds in a medical teaching unit. Arch Intern Med. 2011;171(7):678–684. , , , et al.
- Links among high‐performance work environment, service quality, and customer satisfaction: an extension to the healthcare sector. J Healthc Manag. 52(2):109–124; discussion 124–125. , , .
- Interdisciplinary rounds: impact on patients, families, and staff. Clin Nurse Spec. 2003;17(3):133–142. , , , , , .
- A method to improve quality and safety of critically ill patients. Northeast Fla Med. 2007;58(3):16–19. .
- Improving the quality and safety of care on the medical ward: a review and synthesis of the evidence base. Eur J Intern Med. 2014;25(10):874–887. , , , .
- Pharmacists on rounding teams reduce preventable adverse drug events in hospital general medicine units. Arch Intern Med. 2003;163(17):2014–2018. , , , .
- The effect of multidisciplinary care teams on intensive care unit mortality. Arch Intern Med. 2010;170(4):369–376. , , , , , .
- Perspective: a business school view of medical interprofessional rounds: transforming rounding groups into rounding teams. Acad Med. 2012;87(12):1768–1771. , , .
- Institute for Healthcare Improvement. How‐to guide: multidisciplinary rounds. Available at: http://www.ihi.org/resources/Pages/Tools/HowtoGuideMultidisciplinaryRounds.aspx. Published 2010. Accessed January 1, 2015.
- Preferred Reporting Items for Systematic Reviews and Meta‐Analyses. PRISMA statement. Available at: http://prisma‐statement.org/. Accessed November 23, 2015.
- Effect of a multidisciplinary intervention on communication and collaboration among physicians and nurses. Am J Crit Care. 2005;14(1):71–77. , , , .
- Controlled trial of multidisciplinary care teams for acutely ill medical inpatients: enhanced multidisciplinary care. Intern Med J. 2006;36(9):558–563. , , , .
- The feasibility of creating a checklist for the assessment of the methodological quality both of randomised and non‐randomised studies of health care interventions. J Epidemiol Community Health. 1998;52:377–384. , .
- Effect of pharmacist participation on a medical team on costs, charges, and length of stay. Am J Hosp Pharm. 1991;48(7):1457–1462. , .
- Pharmacist influence on economic and morbidity outcomes in a tertiary care teaching hospital. Am J Health Syst Pharm. 1997;54(14):1591–1595. , , , , .
- Capturing outcomes of clinical activities performed by a rounding pharmacist practicing in a team environment: the COLLABORATE study. Med Care. 2009;47(6):642–650. , .
- Attitudes of nursing staff toward interprofessional in‐patient‐centered rounding. J Interprof Care. 2014;1820(5):475–477. , .
- Bedside interprofessional rounds: perceptions of benefits and barriers by internal medicine nursing staff, attending physicians, and housestaff physicians. J Hosp Med. 2014;9(10):646–651. , , , .
- Patient care centers improve outcomes. Continuum. 1999;19(1):14–19. , , , , , .
- Multidisciplinary meetings in medical admissions units. Nurs Times. 2004;100(44):34–36. , .
- Effects of interdisciplinary rounds on length of stay in a telemetry unit. J Public Health Manag Pract. 2004;10(1):63–69. , , , .
- Use of multidisciplinary rounds to simultaneously improve quality outcomes, enhance resident education, and shorten length of stay. J Gen Intern Med. 2007;22(8):1073–1079. , , , , .
- Applying athletic principles to medical rounds to improve teaching and patient care. Acad Med. 2014;89(7):1018–1023. , , , et al.
- Effects of an internal medicine floor interdisciplinary team on hospital and clinical outcomes of seniors with acute medical illness. Geriatr Gerontol Int. 2013;13:942–948. , , , et al.
- Multidisciplinary rounds (MDR): an implementation system for sustained improvement in the American Heart Association's Get With The Guidelines program. Crit Pathw Cardiol. 2007;6(3):106–116. , , , et al.
- A firm trial of interdisciplinary rounds on the inpatient medical wards: an intervention designed using continuous quality improvement. Med Care. 1998;36(8 suppl):AS4–AS12. , , .
- Impact of a nurse led multidisciplinary team on an acute medical admissions unit. Health Bull (Edinb). 2000;58(6):512–514. , , , .
- A controlled clinical trial of multidisciplinary team approach in the general medical wards of Chulalongkorn Hospital. J Med Assoc Thai. 1995;78(11):618–623. , , , et al.
- An alternative approach to reducing the costs of patient care? A controlled trial of the multi‐disciplinary doctor‐nurse practitioner (MDNP) model. Med Decis Making. 2006;26(1):9–17. , , , et al.
- Implementation of unit‐based interventions to improve teamwork and patient safety on a medical service. Am J Med Qual. 2015;30(5):409–416. , , , et al.
- Improving teamwork: impact of structured interdisciplinary rounds on a hospitalist unit. J Hosp Med. 2011;6(2):88–93. , , , , , .
- Improving teamwork: impact of structured interdisciplinary rounds on a medical teaching unit. J Gen Intern Med. 2010;25(8):826–832. , , , , , .
- Structured interdisciplinary rounds in a medical teaching unit. Arch Intern Med. 2011;171(7):678–684. , , , et al.
- Links among high‐performance work environment, service quality, and customer satisfaction: an extension to the healthcare sector. J Healthc Manag. 52(2):109–124; discussion 124–125. , , .
Acetaminophen ineffective against osteoarthritis pain
The widely used painkiller acetaminophen has little effect on osteoarthritic pain even at high doses, according to results from a new meta-analysis, while several other agents, including diclofenac, improve pain more robustly.
The study, published online March 17 in The Lancet (doi: 10.1016/S0140-6736(16)30002-2), reviewed results from 74 randomized trials enrolling nearly 60,000 patients with knee or hip osteoarthritis.
Patients were assigned different single-agent treatment regimens, comprising various dosages of seven nonsteroidal anti-inflammatory drugs (rofecoxib, lumiracoxib, etoricoxib, diclofenac, celecoxib, naproxen, and ibuprofen) or acetaminophen; in the included trials some treatments were compared head to head, and others to placebo.
First author Bruno R. da Costa, Ph.D., of the University of Bern (Switzerland) and his colleagues found to their surprise that acetaminophen had a nearly null effect on pain symptoms at doses ranging from under 2,000 mg a day to as much as 4,000 mg.
The study’s preestablished cutoff for clinically important pain reduction was an effect size of –0.37. While the most effective regimens in the study had effect sizes approaching –0.6, compared with placebo, acetaminophen’s effect size was only –0.17 across the doses studied.
Acetaminophen “is clinically ineffective and should not be recommended for the symptomatic treatment of osteoarthritis, irrespective of the dose,” the researchers concluded.
Diclofenac, meanwhile, had one of the greatest effect sizes at the maximum dose of 150 mg per day (–0.57), and etoricoxib 60 mg and rofecoxib 25 mg were comparably effective. All three agents at these maximum daily doses had 100% probability to reach the minimum clinically important difference established in the study when used to reduce osteoarthritic pain.
By comparison, maximum daily doses of ibuprofen (2,400 mg) and naproxen (1,000 mg) had 83% and 78% probability, respectively, of achieving clinically important reductions. Treatment effects increased with dosage, but reached statistical significance only for celecoxib, diclofenac, and naproxen.
“Although our findings suggest that some NSAIDs have a clinically relevant treatment effect on osteoarthritis pain,” the investigators wrote, their benefit has to be weighed against their potential harmful effects, which include cardiovascular risk associated with diclofenac and gastrointestinal complications linked to naproxen.
“Appropriate drug selection is a major challenge in patients with osteoarthritis, who are often elderly with polypharmacy. Our study will help to put the available safety data into perspective,” they wrote.
The agents were used short-term, reflecting real-life practice, with average follow-up in the study less than 3 months. However, trials with longer-term follow-up may be needed to compare effectiveness of regimens “on a continuous fixed-dose versus NSAIDs on an as-needed basis,” the researchers acknowledged.
The Swiss National Science Foundation and the Arco Foundation of Switzerland sponsored the study. One investigator disclosed institutional research support from AstraZeneca, Biotronik, Biosensors International, Eli Lilly, and the Medicines Company, while another is currently employed by Novartis and holds shares in Cogitars.
In this network meta-analysis, the most remarkable result is that acetaminophen does not seem to confer any demonstrable effect or benefit in osteoarthritis, at any dose. This finding is not entirely unexpected. It has been on the market for as long as most of us remember. Its efficacy has never been properly established or quantified in chronic diseases, and is probably not as great as many would believe. Its safety is also questioned, not just in overdose. Is recommending it as the universal first-line analgesic in osteoarthritis still tenable? Many patients could be suffering needlessly because of perceived NSAIDs risks and acetaminophen benefits (which might not be real). Perhaps researchers need to reassess both these perceptions (or misconceptions) and the use of other analgesic options that have been discarded over time.
These comments are taken from an editorial by Dr. Nicholas Moore and associates from the department of pharmacology at the University of Bordeaux (France) that accompanied the report by Dr. da Costa and colleagues (Lancet. 2016 Mar 17. doi: 10.1016/S0140-6736(15)01170-8). Dr. Moore disclosed past research support from Boots, Reckitt-Benckiser, Novartis, Pfizer, Roche, Rhone Poulenc, Sanofi, and Helsinn.
In this network meta-analysis, the most remarkable result is that acetaminophen does not seem to confer any demonstrable effect or benefit in osteoarthritis, at any dose. This finding is not entirely unexpected. It has been on the market for as long as most of us remember. Its efficacy has never been properly established or quantified in chronic diseases, and is probably not as great as many would believe. Its safety is also questioned, not just in overdose. Is recommending it as the universal first-line analgesic in osteoarthritis still tenable? Many patients could be suffering needlessly because of perceived NSAIDs risks and acetaminophen benefits (which might not be real). Perhaps researchers need to reassess both these perceptions (or misconceptions) and the use of other analgesic options that have been discarded over time.
These comments are taken from an editorial by Dr. Nicholas Moore and associates from the department of pharmacology at the University of Bordeaux (France) that accompanied the report by Dr. da Costa and colleagues (Lancet. 2016 Mar 17. doi: 10.1016/S0140-6736(15)01170-8). Dr. Moore disclosed past research support from Boots, Reckitt-Benckiser, Novartis, Pfizer, Roche, Rhone Poulenc, Sanofi, and Helsinn.
In this network meta-analysis, the most remarkable result is that acetaminophen does not seem to confer any demonstrable effect or benefit in osteoarthritis, at any dose. This finding is not entirely unexpected. It has been on the market for as long as most of us remember. Its efficacy has never been properly established or quantified in chronic diseases, and is probably not as great as many would believe. Its safety is also questioned, not just in overdose. Is recommending it as the universal first-line analgesic in osteoarthritis still tenable? Many patients could be suffering needlessly because of perceived NSAIDs risks and acetaminophen benefits (which might not be real). Perhaps researchers need to reassess both these perceptions (or misconceptions) and the use of other analgesic options that have been discarded over time.
These comments are taken from an editorial by Dr. Nicholas Moore and associates from the department of pharmacology at the University of Bordeaux (France) that accompanied the report by Dr. da Costa and colleagues (Lancet. 2016 Mar 17. doi: 10.1016/S0140-6736(15)01170-8). Dr. Moore disclosed past research support from Boots, Reckitt-Benckiser, Novartis, Pfizer, Roche, Rhone Poulenc, Sanofi, and Helsinn.
The widely used painkiller acetaminophen has little effect on osteoarthritic pain even at high doses, according to results from a new meta-analysis, while several other agents, including diclofenac, improve pain more robustly.
The study, published online March 17 in The Lancet (doi: 10.1016/S0140-6736(16)30002-2), reviewed results from 74 randomized trials enrolling nearly 60,000 patients with knee or hip osteoarthritis.
Patients were assigned different single-agent treatment regimens, comprising various dosages of seven nonsteroidal anti-inflammatory drugs (rofecoxib, lumiracoxib, etoricoxib, diclofenac, celecoxib, naproxen, and ibuprofen) or acetaminophen; in the included trials some treatments were compared head to head, and others to placebo.
First author Bruno R. da Costa, Ph.D., of the University of Bern (Switzerland) and his colleagues found to their surprise that acetaminophen had a nearly null effect on pain symptoms at doses ranging from under 2,000 mg a day to as much as 4,000 mg.
The study’s preestablished cutoff for clinically important pain reduction was an effect size of –0.37. While the most effective regimens in the study had effect sizes approaching –0.6, compared with placebo, acetaminophen’s effect size was only –0.17 across the doses studied.
Acetaminophen “is clinically ineffective and should not be recommended for the symptomatic treatment of osteoarthritis, irrespective of the dose,” the researchers concluded.
Diclofenac, meanwhile, had one of the greatest effect sizes at the maximum dose of 150 mg per day (–0.57), and etoricoxib 60 mg and rofecoxib 25 mg were comparably effective. All three agents at these maximum daily doses had 100% probability to reach the minimum clinically important difference established in the study when used to reduce osteoarthritic pain.
By comparison, maximum daily doses of ibuprofen (2,400 mg) and naproxen (1,000 mg) had 83% and 78% probability, respectively, of achieving clinically important reductions. Treatment effects increased with dosage, but reached statistical significance only for celecoxib, diclofenac, and naproxen.
“Although our findings suggest that some NSAIDs have a clinically relevant treatment effect on osteoarthritis pain,” the investigators wrote, their benefit has to be weighed against their potential harmful effects, which include cardiovascular risk associated with diclofenac and gastrointestinal complications linked to naproxen.
“Appropriate drug selection is a major challenge in patients with osteoarthritis, who are often elderly with polypharmacy. Our study will help to put the available safety data into perspective,” they wrote.
The agents were used short-term, reflecting real-life practice, with average follow-up in the study less than 3 months. However, trials with longer-term follow-up may be needed to compare effectiveness of regimens “on a continuous fixed-dose versus NSAIDs on an as-needed basis,” the researchers acknowledged.
The Swiss National Science Foundation and the Arco Foundation of Switzerland sponsored the study. One investigator disclosed institutional research support from AstraZeneca, Biotronik, Biosensors International, Eli Lilly, and the Medicines Company, while another is currently employed by Novartis and holds shares in Cogitars.
The widely used painkiller acetaminophen has little effect on osteoarthritic pain even at high doses, according to results from a new meta-analysis, while several other agents, including diclofenac, improve pain more robustly.
The study, published online March 17 in The Lancet (doi: 10.1016/S0140-6736(16)30002-2), reviewed results from 74 randomized trials enrolling nearly 60,000 patients with knee or hip osteoarthritis.
Patients were assigned different single-agent treatment regimens, comprising various dosages of seven nonsteroidal anti-inflammatory drugs (rofecoxib, lumiracoxib, etoricoxib, diclofenac, celecoxib, naproxen, and ibuprofen) or acetaminophen; in the included trials some treatments were compared head to head, and others to placebo.
First author Bruno R. da Costa, Ph.D., of the University of Bern (Switzerland) and his colleagues found to their surprise that acetaminophen had a nearly null effect on pain symptoms at doses ranging from under 2,000 mg a day to as much as 4,000 mg.
The study’s preestablished cutoff for clinically important pain reduction was an effect size of –0.37. While the most effective regimens in the study had effect sizes approaching –0.6, compared with placebo, acetaminophen’s effect size was only –0.17 across the doses studied.
Acetaminophen “is clinically ineffective and should not be recommended for the symptomatic treatment of osteoarthritis, irrespective of the dose,” the researchers concluded.
Diclofenac, meanwhile, had one of the greatest effect sizes at the maximum dose of 150 mg per day (–0.57), and etoricoxib 60 mg and rofecoxib 25 mg were comparably effective. All three agents at these maximum daily doses had 100% probability to reach the minimum clinically important difference established in the study when used to reduce osteoarthritic pain.
By comparison, maximum daily doses of ibuprofen (2,400 mg) and naproxen (1,000 mg) had 83% and 78% probability, respectively, of achieving clinically important reductions. Treatment effects increased with dosage, but reached statistical significance only for celecoxib, diclofenac, and naproxen.
“Although our findings suggest that some NSAIDs have a clinically relevant treatment effect on osteoarthritis pain,” the investigators wrote, their benefit has to be weighed against their potential harmful effects, which include cardiovascular risk associated with diclofenac and gastrointestinal complications linked to naproxen.
“Appropriate drug selection is a major challenge in patients with osteoarthritis, who are often elderly with polypharmacy. Our study will help to put the available safety data into perspective,” they wrote.
The agents were used short-term, reflecting real-life practice, with average follow-up in the study less than 3 months. However, trials with longer-term follow-up may be needed to compare effectiveness of regimens “on a continuous fixed-dose versus NSAIDs on an as-needed basis,” the researchers acknowledged.
The Swiss National Science Foundation and the Arco Foundation of Switzerland sponsored the study. One investigator disclosed institutional research support from AstraZeneca, Biotronik, Biosensors International, Eli Lilly, and the Medicines Company, while another is currently employed by Novartis and holds shares in Cogitars.
FROM THE LANCET
Key clinical point:Acetaminophen, even at high doses, is largely ineffective at reducing pain in knee or hip osteoarthritis.
Major finding: Effect size for acetaminophen was –0.17 vs. placebo (not reaching clinical threshold of –0.37), compared with –0.57 for the maximum dose of diclofenac.
Data source: A meta-analysis of 74 randomized trials evaluating 23 treatment regimens including seven NSAIDS and acetaminophen in 58,566 patients
Disclosures: The Swiss National Science Foundation and the Arco Foundation of Switzerland sponsored the study. Two investigators disclosed industry relationships.