BACKGROUND: Hospitals across the United States are pursuing strategies to reduce avoidable readmissions but the evidence on how best to accomplish this goal is mixed, with no specific clinical practice shown to reduce readmissions consistently. Changes to hospital organizational practices, a key component of context, also may be critical to improving performance on readmissions, but this has not been studied. OBJECTIVE: The aim of this study was to understand how high-performing hospitals improved risk-stratified readmission rates, and whether their changes to clinical practices and organizational practices differed from low-performing hospitals. DESIGN: This was a qualitative study of 10 hospitals in which readmission rates had decreased (n=7) or increased (n=3). PARTICIPANTS: A total of 82 hospital staff drawn from hospitals that had participated in the State Action on Avoidable Readmissions quality improvement initiative. RESULTS: High-performing hospitals were distinguished by several organizational practices that facilitated readmissions reduction, that is, collective habits of action or interpretation shared by organization members. First, high-performing hospitals reported focused efforts to improve collaboration across hospital departments. Second, they helped postacute providers improve care by sharing the hospital's clinical and quality improvement expertise and data. Third, high performers enthusiastically engaged in trial and error learning to reduce readmissions. Fourth, they emphasized that readmissions represented bad outcomes for patients, de-emphasizing the role of financial penalties. Both high-performing and low-performing hospitals had implemented most clinical practice changes commonly recommended to reduce readmissions. CONCLUSIONS: Our findings highlight several organizational practices that hospitals may be able to use to enhance the effectiveness of their readmissions reduction efforts.
BACKGROUND: Hospitals across the United States are pursuing strategies to reduce avoidable readmissions but the evidence on how best to accomplish this goal is mixed, with no specific clinical practice shown to reduce readmissions consistently. Changes to hospital organizational practices, a key component of context, also may be critical to improving performance on readmissions, but this has not been studied. OBJECTIVE: The aim of this study was to understand how high-performing hospitals improved risk-stratified readmission rates, and whether their changes to clinical practices and organizational practices differed from low-performing hospitals. DESIGN: This was a qualitative study of 10 hospitals in which readmission rates had decreased (n=7) or increased (n=3). PARTICIPANTS: A total of 82 hospital staff drawn from hospitals that had participated in the State Action on Avoidable Readmissions quality improvement initiative. RESULTS: High-performing hospitals were distinguished by several organizational practices that facilitated readmissions reduction, that is, collective habits of action or interpretation shared by organization members. First, high-performing hospitals reported focused efforts to improve collaboration across hospital departments. Second, they helped postacute providers improve care by sharing the hospital's clinical and quality improvement expertise and data. Third, high performers enthusiastically engaged in trial and error learning to reduce readmissions. Fourth, they emphasized that readmissions represented bad outcomes for patients, de-emphasizing the role of financial penalties. Both high-performing and low-performing hospitals had implemented most clinical practice changes commonly recommended to reduce readmissions. CONCLUSIONS: Our findings highlight several organizational practices that hospitals may be able to use to enhance the effectiveness of their readmissions reduction efforts.
Authors: Kimberly A Fisher; Kathleen M Mazor; Sarah Goff; Mihaela S Stefan; Penelope S Pekow; Lauren A Williams; Vida Rastegar; Michael B Rothberg; Nicholas S Hill; Peter K Lindenauer Journal: Ann Am Thorac Soc Date: 2017-11
Authors: Amanda L Brewster; Marie A Brault; Annabel X Tan; Leslie A Curry; Elizabeth H Bradley Journal: Health Serv Res Date: 2017-09-19 Impact factor: 3.402
Authors: Michael P DeWane; Nitin Sukumar; Marilyn J Stolar; Thomas M Gill; Adrian A Maung; Kevin M Schuster; Kimberly A Davis; Robert D Becher Journal: J Trauma Acute Care Surg Date: 2019-08 Impact factor: 3.313
Authors: Robert E Burke; Jeffrey L Schnipper; Mark V Williams; Edmondo J Robinson; Eduard E Vasilevskis; Sunil Kripalani; Joshua P Metlay; Grant S Fletcher; Andrew D Auerbach; Jacques D Donzé Journal: Med Care Date: 2017-03 Impact factor: 2.983
Authors: Kumar Dharmarajan; Yongfei Wang; Zhenqiu Lin; Sharon-Lise T Normand; Joseph S Ross; Leora I Horwitz; Nihar R Desai; Lisa G Suter; Elizabeth E Drye; Susannah M Bernheim; Harlan M Krumholz Journal: JAMA Date: 2017-07-18 Impact factor: 56.272
Authors: Steven B Spivack; Darren DeWalt; Jonathan Oberlander; Justin Trogdon; Nilay Shah; Ellen Meara; Morris Weinberger; Kristin Reiter; Devang Agravat; Carrie Colla; Valerie Lewis Journal: J Gen Intern Med Date: 2021-07-13 Impact factor: 6.473
Authors: Roman Ayele; Kirstin A Manges; Chelsea Leonard; Marcie Lee; Emily Galenbeck; Mithu Molla; Cari Levy; Robert E Burke Journal: J Am Med Dir Assoc Date: 2020-09-14 Impact factor: 7.802