Evidence map›Paper›PMID 26954564›Full record

Observational studyJAMA internal medicine2016

Preventability and Causes of Readmissions in a National Cohort of General Medicine Patients.

Andrew D Auerbach, Sunil Kripalani, Eduard E Vasilevskis, Neil Sehgal, Peter K Lindenauer, Joshua P Metlay, Grant Fletcher, Gregory W Ruhnke, Scott A Flanders, Christopher Kim and 8 more

Erratum issuedAbstract readObservational Study
In one paragraph

Observational study in JAMA internal medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 190 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
190citing papers in PubMed, 6 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

190 citing papers in PubMed, 6 syntheses or guidelines pooled it.

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130 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors.

Andrew D AuerbachDivision of Hospital Medicine, Department of Medicine, University of California, San Francisco.
Sunil KripalaniSection of Hospital Medicine at Vanderbilt, Department of Medicine, Vanderbilt University, Nashville, Tennessee3Center for Clinical Quality and Implementation Research, Vanderbilt University, Nashville, Tennessee.
Eduard E VasilevskisSection of Hospital Medicine at Vanderbilt, Department of Medicine, Vanderbilt University, Nashville, Tennessee3Center for Clinical Quality and Implementation Research, Vanderbilt University, Nashville, Tennessee.
Neil SehgalDivision of Hospital Medicine, Department of Medicine, University of California, San Francisco.
Peter K LindenauerCenter for Quality of Care Research, Baystate Medical Center, Department of Medicine, Tufts University School of Medicine, Boston, Massachusetts.
Joshua P MetlayDivision of General Internal Medicine, Massachusetts General Hospital, Boston.
Grant FletcherDivision of General Internal Medicine, Harborview Medical Center, Seattle, Washington.
Gregory W RuhnkeSection of Hospital Medicine, Department of Medicine, The University of Chicago, Chicago, Illinois.
Scott A FlandersDepartment of Internal Medicine, University of Michigan, Ann Arbor.
Christopher KimDepartment of Internal Medicine, University of Michigan, Ann Arbor.
Mark V WilliamsCenter for Health Services Research, University of Kentucky College of Medicine, Louisville.
Larissa ThomasDivision of General Internal Medicine, San Francisco General Hospital, San Francisco, California.
Vernon GiangDepartment of Medicine, California Pacific Medical Center, San Francisco.
Shoshana J HerzigDivision of General Medicine and Primary Care, Beth Israel Deaconess Medical Center, Boston, Massachusetts.
Kanan PatelDivision of Geriatrics, Department of Medicine, University of California, San Francisco.
W John BoscardinDepartment of Medicine, University of California, San Francisco15Department of Epidemiology and Biostatistics, University of California, San Francisco.
Edmondo J RobinsonValue Institute and Department of Medicine, Christiana Care Health System, Wilmington, Delaware.
Jeffrey L SchnipperHospital Medicine Service, Division of General Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.

Funding

The Vanderbilt Institute for Clinical and Translational Research (VICTR)UL1TR000445 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BERNARD, GORDON RAPHAEL · 2012 to 2016
$41.4M
Improving management of cardiovascular medications during hospitalizationK24HL098372 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI AUERBACH, ANDREW D · 2010 to 2014
$887k
NCATS NIH HHS 2 UL1 TR000445-06NCATS NIH HHS UL1 TR000445NHLBI NIH HHS K24 HL098372NHLBI NIH HHS K24HL098372
6 · The paper itself

Abstract

importanceReadmission penalties have catalyzed efforts to improve care transitions, but few programs have incorporated viewpoints of patients and health care professionals to determine readmission preventability or to prioritize opportunities for care improvement.

objectivesTo determine preventability of readmissions and to use these estimates to prioritize areas for improvement. DESIGN, SETTING, AND

participantsAn observational study was conducted of 1000 general medicine patients readmitted within 30 days of discharge to 12 US academic medical centers between April 1, 2012, and March 31, 2013. We surveyed patients and physicians, reviewed documentation, and performed 2-physician case review to determine preventability of and factors contributing to readmission. We used bivariable statistics to compare preventable and nonpreventable readmissions, multivariable models to identify factors associated with potential preventability, and baseline risk factor prevalence and adjusted odds ratios (aORs) to determine the proportion of readmissions affected by individual risk factors. MAIN OUTCOME AND MEASURE: Likelihood that a readmission could have been prevented.

resultsThe study cohort comprised 1000 patients (median age was 55 years). Of these, 269 (26.9%) were considered potentially preventable. In multivariable models, factors most strongly associated with potential preventability included emergency department decision making regarding the readmission (aOR, 9.13; 95% CI, 5.23-15.95), failure to relay important information to outpatient health care professionals (aOR, 4.19; 95% CI, 2.17-8.09), discharge of patients too soon (aOR, 3.88; 95% CI, 2.44-6.17), and lack of discussions about care goals among patients with serious illnesses (aOR, 3.84; 95% CI, 1.39-10.64). The most common factors associated with potentially preventable readmissions included emergency department decision making (affecting 9.0%; 95% CI, 7.1%-10.3%), inability to keep appointments after discharge (affecting 8.3%; 95% CI, 4.1%-12.0%), premature discharge from the hospital (affecting 8.7%; 95% CI, 5.8%-11.3%), and patient lack of awareness of whom to contact after discharge (affecting 6.2%; 95% CI, 3.5%-8.7%). CONCLUSIONS AND RELEVANCE: Approximately one-quarter of readmissions are potentially preventable when assessed using multiple perspectives. High-priority areas for improvement efforts include improved communication among health care teams and between health care professionals and patients, greater attention to patients' readiness for discharge, enhanced disease monitoring, and better support for patient self-management.

Indexed as

Decision MakingAcademic Medical CentersAdultAgedAmbulatory CareCohort StudiesEmergency Service, HospitalFemaleHumansMaleMedication ReconciliationMiddle AgedMultivariate AnalysisOdds RatioPatient DischargePatient Handoff

Identifiers

PMID26954564
PMCPMC6900926

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.