Evidence map›Paper›PMID 26929109›Full record

ReviewJournal of hospital medicine2016

Preparedness for hospital discharge and prediction of readmission.

Amanda S Mixon, Kathryn Goggins, Susan P Bell, Eduard E Vasilevskis, Samuel Nwosu, Jonathan S Schildcrout, Sunil Kripalani

Abstract readComparative StudyReview
In one paragraph

Review in Journal of hospital medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
–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

23 citing papers in PubMed.

  1. Effect of digital tools to promote hospital quality and safety on adverse events after discharge.Journal of the American Medical Informatics Association : JAMIA · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Amanda S MixonDepartment of Veterans Affairs, Tennessee Valley Healthcare System Geriatric Research Education and Clinical Center, Nashville, Tennessee. amanda.s.mixon@vanderbilt.edu.
Kathryn GogginsCenter for Health Services Research, Vanderbilt University Medical Center, Nashville, Tennessee.
Susan P BellCenter for Quality Aging, Vanderbilt University Medical Center, Nashville, Tennessee.
Eduard E VasilevskisDepartment of Veterans Affairs, Tennessee Valley Healthcare System Geriatric Research Education and Clinical Center, Nashville, Tennessee.
Samuel NwosuDepartment of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee.
Jonathan S SchildcroutDepartment of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee.
Sunil KripalaniSection of Hospital Medicine, Division of General Internal Medicine and Public Health, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.

Funding

VANDERBILT UNIVERSITY CTSA FOR PEDIATRIC RESEARCHUL1RR024975 · NCRR · VANDERBILT UNIVERSITY · PI BERNARD, GORDON RAPHAEL · 2007 to 2011
$45.7M
The Vanderbilt Institute for Clinical and Translational Research (VICTR)UL1TR000445 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BERNARD, GORDON RAPHAEL · 2012 to 2016
$41.4M
Health Literacy, Hospital Discharge, and Cardiovascular OutcomesR01HL109388 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI KRIPALANI, SUNIL · 2011 to 2015
$3.3M
Predicting Acute Brain Dysfunction in Older Patients: A Quality Improvement ToolK23AG040157 · NIA · VANDERBILT UNIVERSITY MEDICAL CENTER · PI VASILEVSKIS, EDUARD E · 2011 to 2015
$609k
Longitudinal Hemodynamic and Vascular Changes associated with FrailtyK23AG048347 · NIA · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BELL, SUSAN POTTER · 2015 to 2016
$345k
Intramural VA VA999999NCATS NIH HHS UL1 TR000445NCRR NIH HHS UL1 RR024975NHLBI NIH HHS R01 HL109388NIA NIH HHS K23 AG040157NIA NIH HHS K23 AG048347
6 · The paper itself

Abstract

BACKGROUND,

objectivePatients' self-reported preparedness for discharge has been shown to predict readmission. It is unclear what differences exist in the predictive abilities of 2 available discharge preparedness measures. To address this gap, we conducted a comparison of these measures. DESIGN, SETTING, PATIENTS: Adults hospitalized for cardiovascular diagnoses were enrolled in a prospective cohort. MEASUREMENTS: Two patient-reported preparedness measures assessed during postdischarge calls: the 11-item Brief Prescriptions, Ready to re-enter community, Education, Placement, Assurance of safety, Realistic expectations, Empowerment, Directed to appropriate services (B-PREPARED) and the 3-item Care Transitions Measure (CTM-3). Cox proportional hazard models analyzed the relationship between preparedness and time to first readmission or death at 30 and 90 days, adjusted for readmission risk using the administrative database-derived Length of stay, Acuity, Comorbidity, and Emergency department use (LACE) index and other covariates.

resultsMedian preparedness scores were: B-PREPARED 21 (interquartile range [IQR] 18-22) and CTM-3 77.8 (IQR 66.7-100). In individual Cox models, a 4-point increase in B-PREPARED score was associated with a 16% decrease in time to readmission or death at 30 and 90 days. A 10-point increase in CTM-3 score was not associated with readmission or death at 30 days, but was associated with a 6% decrease in readmission or death at 90 days. In models with both preparedness scores, B-PREPARED retained an association with readmission or death at both 30 and 90 days. However, neither preparedness score was as strong a predictor as the LACE index when all were included in the model predicting 30- and 90-day readmission or death.

conclusionThe B-PREPARED score was more strongly associated with readmission or death than the more widely adopted CTM-3, but neither predicted readmission as well as the LACE index. Journal of Hospital Medicine 2016;11:603-609. © 2016 Society of Hospital Medicine.

Indexed as

ForecastingSurveys and QuestionnairesCardiovascular DiseasesComorbidityFemaleHumansLength of StayMaleMiddle AgedPatient DischargePatient ReadmissionProspective Studies

Identifiers

PMID26929109
PMCPMC5003753

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.