Preventing Early Readmissions

被引:8
作者
Chokshi, Dave A. [1 ,2 ,3 ]
Chang, Ji Eun [1 ,2 ,3 ]
机构
[1] NYU, Langone Med Ctr, Dept Populat Hlth, New York, NY 10016 USA
[2] NYU, Langone Med Ctr, Dept Med, New York, NY 10016 USA
[3] NYU, Wagner Sch Publ Serv, New York, NY 10016 USA
来源
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION | 2014年 / 312卷 / 13期
关键词
HEART-FAILURE; RATES;
D O I
10.1001/jama.2014.9473
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Results In 42 trials, the tested interventions prevented early readmissions (pooled random-effects relative risk, 0.82 [95%CI, 0.73-0.91]; P < .001; I2 = 31%), a finding thatwas consistent across patient subgroups. Trials published before 2002 reported interventions thatwere 1.6 times more effective than those tested later (interaction P = .01). In exploratory subgroup analyses, interventions with many components (interaction P = .001), involving more individuals in care delivery (interaction P = .05), and supporting patient capacity for self-care (interaction P = .04)were 1.4, 1.3, and 1.3 times more effective than other interventions, respectively. A post hoc regression model showed incremental value in providing comprehensive, postdischarge support to patients and caregivers.; Conclusions and Relevance Tested interventions are effective at reducing readmissions, but more effective interventions are complex and support patient capacity for self-care. Interventions tested more recently are less effective. © 2014 American Medical Association. All rights reserved.; Jamainternal Medicine Preventing 30-Day Hospital Readmissions: A Systematic Reviewand Meta-analysis of Randomized Trials Aaron L. Leppin, MD; Michael R. Gionfriddo, PharmD; Maya Kessler, MD; Juan Pablo Brito, MBBS; Frances S. Mair, MD; Katie Gallacher, MBChB; ZhenWang, PhD; Patricia J. Erwin, MLS; Tanya Sylvester, BS; Kasey Boehmer, BA; Henry H. Ting, MD, MBA; M. Hassan Murad, MD; Nathan D. Shippee, PhD; Victor M. Montori, MD.; Importance Reducing early (<30 days) hospital readmissions is a policy priority aimed at improving health care quality. The cumulative complexity model conceptualizes patient context. It predicts that highly supportive discharge interventions will enhance patient capacity to enact burdensome self-care and avoid readmissions.; Objective To synthesize the evidence of the efficacy of interventions to reduce early hospital readmissions and identify intervention features-including their impact on treatment burden and on patients' capacity to enact postdischarge self-care-that might explain their varying effects. DATA SOURCESWe searched PubMed, Ovid MEDLINE, Ovid EMBASE, EBSCO CINAHL, and Scopus (1990 until April 1, 2013), contacted experts, and reviewed bibliographies.; Study Selection Randomized trials that assessed the effect of interventions on all-cause or unplanned readmissions within 30 days of discharge in adult patients hospitalized for a medical or surgical cause for more than 24 hours and discharged to home.; Data Extraction and Synthesis Reviewer pairs extracted trial characteristics and used an activity-based coding strategy to characterize the interventions; fidelity was confirmed with authors. Blinded to trial outcomes, reviewers noted the extent to which interventions placed additional work on patients after discharge or supported their capacity for self-care in accordance with the cumulative complexity model.; Main Outcomes and Measures Relative risk of all-cause or unplanned readmission with or without out-of-hospital deaths at 30 days postdischarge.
引用
收藏
页码:1344 / +
页数:2
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