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Erschienen in: Journal of General Internal Medicine 1/2019

14.08.2018 | Original Research

Aiming to Improve Readmissions Through InteGrated Hospital Transitions (AIRTIGHT): a Pragmatic Randomized Controlled Trial

verfasst von: Andrew McWilliams, MD,MPH, Jason Roberge, PhD, William E. Anderson, MS, Charity G. Moore, PhD, Whitney Rossman, MS, Stephanie Murphy, DO, Stephannie McCall, MD, Ryan Brown, MD, Shannon Carpenter, MD, Scott Rissmiller, MD, Scott Furney, MD

Erschienen in: Journal of General Internal Medicine | Ausgabe 1/2019

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Abstract

Background

Despite years of intense focus, inpatient and observation readmission rates remain high and largely unchanged. Hospitals have little, robust evidence to guide the selection of interventions effective at reducing 30-day readmissions in real-world settings.

Objective

To evaluate if implementation of recent recommendations for hospital transition programs is effective at reducing 30-day readmissions in a population discharged to home and at high-risk for readmission.

Design

A non-blinded, pragmatic randomized controlled trial (Clinicaltrials.​gov: NCT02763202) conducted at two hospitals in Charlotte, North Carolina.

Patients

A total of 1876 adult patients, under the care of a hospitalist, and at high risk for readmissions.

Intervention

Random allocation to a Transition Services (TS) program (n = 935) that bridges inpatient, outpatient, and home settings, providing patients virtual and in-person access to a dedicated multidisciplinary team for 30-days, or usual care (n = 941).

Main Measure

Thirty-day, unplanned, inpatient, or observation readmission rate.

Key Results

The 30-day readmission rate was 15.2% in the TS group and 16.3% in the usual care group (RR 0.93; 95% [CI, 0.76 to 1.15]; P = 0.52). There were no significant differences in readmissions at 60 and 90 days or in 30-day Emergency Department visit rates. Patients, who were referred to TS and readmitted, had less Intensive Care Unit admissions 15.5% vs. 26.8% (RR 0.74; 95% [CI, 0.59 to 0.93]; P = 0.02).

Conclusions

An intervention inclusive of contemporary recommendations does not reduce a high-risk population’s 30-day readmission rate. The high crossover to usual care (74.8%) reflects the challenge of non-participation that is ubiquitous in the real-world implementation of population health interventions.

Trial Registry

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Literatur
1.
Zurück zum Zitat Mendelson A KK, Damberg C, Low A, Motuapuaka M, Freeman M, O’Neil M, Relevo R, Kansagara D. The effects of pay-for-performance programs on health, health care use, and processes of care. Ann Intern Med.. 2017;166(5):341–53.CrossRef Mendelson A KK, Damberg C, Low A, Motuapuaka M, Freeman M, O’Neil M, Relevo R, Kansagara D. The effects of pay-for-performance programs on health, health care use, and processes of care. Ann Intern Med.. 2017;166(5):341–53.CrossRef
18.
Zurück zum Zitat Jack BW, Chetty VK, Anthony D, Greenwald JL, Sanchez GM, Johnson AE, et al. A reengineered hospital discharge program to decrease rehospitalization: a randomized trial. Ann Intern Med. 2009;150(3):178–87.CrossRef Jack BW, Chetty VK, Anthony D, Greenwald JL, Sanchez GM, Johnson AE, et al. A reengineered hospital discharge program to decrease rehospitalization: a randomized trial. Ann Intern Med. 2009;150(3):178–87.CrossRef
19.
Zurück zum Zitat Caplan GA, Sulaiman NS, Mangin DA, Aimonino Ricauda N, Wilson AD, Barclay L. A meta-analysis of “hospital in the home”. Med J Aust. 2012;197(9):512–9.CrossRef Caplan GA, Sulaiman NS, Mangin DA, Aimonino Ricauda N, Wilson AD, Barclay L. A meta-analysis of “hospital in the home”. Med J Aust. 2012;197(9):512–9.CrossRef
20.
Zurück zum Zitat SAS Enterprise Guide 6.1 for Windows on platform 9.4.1,. Cary, NC: SAS Institute Inc. SAS Enterprise Guide 6.1 for Windows on platform 9.4.1,. Cary, NC: SAS Institute Inc.
22.
Zurück zum Zitat Dunn G, Maracy M. Tomenson Estimating treatment effects from randomized clinical trials with noncompliance and loss to follow-up: the role of instrumental variable methods. Stat Methods Med Res. 2005;14(4):369–95.CrossRef Dunn G, Maracy M. Tomenson Estimating treatment effects from randomized clinical trials with noncompliance and loss to follow-up: the role of instrumental variable methods. Stat Methods Med Res. 2005;14(4):369–95.CrossRef
Metadaten
Titel
Aiming to Improve Readmissions Through InteGrated Hospital Transitions (AIRTIGHT): a Pragmatic Randomized Controlled Trial
verfasst von
Andrew McWilliams, MD,MPH
Jason Roberge, PhD
William E. Anderson, MS
Charity G. Moore, PhD
Whitney Rossman, MS
Stephanie Murphy, DO
Stephannie McCall, MD
Ryan Brown, MD
Shannon Carpenter, MD
Scott Rissmiller, MD
Scott Furney, MD
Publikationsdatum
14.08.2018
Verlag
Springer US
Erschienen in
Journal of General Internal Medicine / Ausgabe 1/2019
Print ISSN: 0884-8734
Elektronische ISSN: 1525-1497
DOI
https://doi.org/10.1007/s11606-018-4617-1

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