TY - JOUR
T1 - Which readmissions may be preventable? lessons learned from a posthospitalization care transitions program for high-risk elders
AU - McCoy, Rozalina G.
AU - Peterson, Stephanie M.
AU - Borkenhagen, Lynn S.
AU - Takahashi, Paul Y.
AU - Thorsteinsdottir, Bjorg
AU - Chandra, Anupam
AU - Naessens, James M.
N1 - Funding Information:
Supported by the Mayo Clinic Robert D and Patricia E. Center for the Science of Health Care Delivery (R.G.M. and P.Y.T.), the Extramural Grant Program of Satellite Healthcare, a not-for-profit renal care provider (B.T.), and by the National Institutes of Health National Institute of Diabetes and Digestive and Kidney Diseases K23DK114497 (R.G.M.) and National Institute on Aging grant K23AG051679 (B.T.). Additional support was provided by the National Center for Advancing Translational Sciences (NCATS) grant UL1TR000135. Study contents are the sole responsibility of the authors and do not necessarily represent the official views of NIH.
Publisher Copyright:
© 2018 Wolters Kluwer Health, Inc.
PY - 2018/8/1
Y1 - 2018/8/1
N2 - Background: Care transitions programs have been shown to reduce hospital readmissions. Objectives: The main objective of this study was to evaluate effects of the Mayo Clinic Care Transitions (MCCTs) Program on potentially preventable and nonpreventable 30-day unplanned readmissions among high-risk elders. Research Design: This was a retrospective cohort study of patients enrolled in MCCT following hospitalization and propensity scorematched controls receiving usual primary care. Subjects: The subjects were primary care patients, who were 60 years or older, at high-risk for readmission, and hospitalized for any cause between January 1, 2011 and June 30, 2013. Measures: Hospital readmission within 30 days. The 3M algorithm was used to identify potentially preventable readmissions. Readmissions for ambulatory care sensitive conditions, a subset of preventable readmissions identified by the 3M algorithm, were also assessed. Results: The study cohort included 365 pairs of MCCT enrollees and propensity score-matched controls. Patients were similar in age (mean 83 y) and other baseline demographic and clinical characteristics, including reason for index hospitalization. MCCT enrollees had a significantly lower all-cause readmission rate [12.4% (95% confidence interval: CI, 8.9-15.7) vs. 20.1% (15.8-24.1); P= 0.004] resulting from a decrease in potentially preventable readmissions [8.4% (95% CI, 5.5-11.3) vs. 14.3% (95% CI, 10.5-17.9); P=0.01]. Few potentially preventable readmissions were for ambulatory care sensitive conditions (6.7% vs. 12.0%). The rates of nonpotentially preventable readmissions were similar [4.3% (95% CI, 2.2-6.5) vs. 6.7% (95% CI, 4.0-9.4); P=0.16]. Potentially preventable readmissions were reduced by 44% (hazard ratio, 0.56; 95% CI, 0.36-0.88; P= 0.01) with no change in other readmissions. Conclusions: The MCCT significantly reduces preventable readmissions, suggesting that access to multidisciplinary care can reduce readmissions and improve outcomes for high-risk elders.
AB - Background: Care transitions programs have been shown to reduce hospital readmissions. Objectives: The main objective of this study was to evaluate effects of the Mayo Clinic Care Transitions (MCCTs) Program on potentially preventable and nonpreventable 30-day unplanned readmissions among high-risk elders. Research Design: This was a retrospective cohort study of patients enrolled in MCCT following hospitalization and propensity scorematched controls receiving usual primary care. Subjects: The subjects were primary care patients, who were 60 years or older, at high-risk for readmission, and hospitalized for any cause between January 1, 2011 and June 30, 2013. Measures: Hospital readmission within 30 days. The 3M algorithm was used to identify potentially preventable readmissions. Readmissions for ambulatory care sensitive conditions, a subset of preventable readmissions identified by the 3M algorithm, were also assessed. Results: The study cohort included 365 pairs of MCCT enrollees and propensity score-matched controls. Patients were similar in age (mean 83 y) and other baseline demographic and clinical characteristics, including reason for index hospitalization. MCCT enrollees had a significantly lower all-cause readmission rate [12.4% (95% confidence interval: CI, 8.9-15.7) vs. 20.1% (15.8-24.1); P= 0.004] resulting from a decrease in potentially preventable readmissions [8.4% (95% CI, 5.5-11.3) vs. 14.3% (95% CI, 10.5-17.9); P=0.01]. Few potentially preventable readmissions were for ambulatory care sensitive conditions (6.7% vs. 12.0%). The rates of nonpotentially preventable readmissions were similar [4.3% (95% CI, 2.2-6.5) vs. 6.7% (95% CI, 4.0-9.4); P=0.16]. Potentially preventable readmissions were reduced by 44% (hazard ratio, 0.56; 95% CI, 0.36-0.88; P= 0.01) with no change in other readmissions. Conclusions: The MCCT significantly reduces preventable readmissions, suggesting that access to multidisciplinary care can reduce readmissions and improve outcomes for high-risk elders.
KW - Ambulatory care sensitive conditions
KW - Care transitions
KW - Discharge planning
KW - Geriatrics
KW - Health care quality
KW - Health sciences research
KW - Readmission
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U2 - 10.1097/MLR.0000000000000946
DO - 10.1097/MLR.0000000000000946
M3 - Article
C2 - 29939913
AN - SCOPUS:85049230983
SN - 0025-7079
VL - 56
SP - 693
EP - 700
JO - Medical care
JF - Medical care
IS - 8
ER -