Evidence map›Paper›PMID 29455229›Full record

ArticleJournal of hospital medicine2018

Effect of Hospital Readmission Reduction on Patients at Low, Medium, and High Risk of Readmission in the Medicare Population.

Saul Blecker, Jeph Herrin, Ji Young Kwon, Jacqueline N Grady, Simon Jones, Leora I Horwitz

Abstract read
In one paragraph

Article in Journal of hospital medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

6 authors.

Saul BleckerDivision of Healthcare Delivery Science, Department of Population Health, NYU School of Medicine, New York, New York, USA. Saul.blecker@nyumc.org.
Jeph HerrinSection of Cardiovascular Medicine, Yale School of Medicine, New Haven, Connecticut, USA.
Ji Young KwonCenter for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Connecticut, USA.
Jacqueline N GradyCenter for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Connecticut, USA.
Simon JonesDivision of Healthcare Delivery Science, Department of Population Health, NYU School of Medicine, New York, New York, USA.
Leora I HorwitzDivision of Healthcare Delivery Science, Department of Population Health, NYU School of Medicine, New York, New York, USA.

Funding

Understanding hospital value: provider, hospital and community effectsR01HS022882 · AHRQ · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI HORWITZ, LEORA · 2014 to 2023
$2.9M
Health Information Technology in Heart Failure CareK08HS023683 · AHRQ · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BLECKER, SAUL B. · 2014 to 2017
$633k
AHRQ HHS K08 HS023683AHRQ HHS R01 HS022882
6 · The paper itself

Abstract

backgroundHospitalization and readmission rates have decreased in recent years, with the possible consequence that hospitals are increasingly filled with high-risk patients.

objectiveWe studied whether readmission reduction has affected the risk profile of hospitalized patients and whether readmission reduction was similarly realized among hospitalizations with low, medium, and high risk of readmissions.

designRetrospective study of hospitalizations between January 2009 and June 2015. PATIENTS: Hospitalized fee-for-service Medicare beneficiaries, categorized into 1 of 5 specialty cohorts used for the publicly reported hospital-wide readmission measure. MEASUREMENTS: Each hospitalization was assigned a predicted risk of 30-day, unplanned readmission using a risk-adjusted model similar to publicly reported measures. Trends in monthly mean predicted risk for each cohort and trends in monthly observed to expected readmission for hospitalizations in the lowest 20%, middle 60%, and highest 20% of risk of readmission were assessed using time series models.

resultsOf 47,288,961 hospitalizations, 16.2% (n = 7,642,161) were followed by an unplanned readmission within 30 days. We found that predicted risk of readmission increased by 0.24% (P = .03) and 0.13% (P = .004) per year for hospitalizations in the surgery/ gynecology and neurology cohorts, respectively. We found no significant increase in predicted risk for hospitalizations in the medicine (0.12%, P = .12), cardiovascular (0.32%, P = .07), or cardiorespiratory (0.03%, P = .55) cohorts. In each cohort, observed to expected readmission rates steadily declined, and at similar rates for patients at low, medium, and high risk of readmission.

conclusionsHospitals have been effective at reducing readmissions across a range of patient risk strata and clinical conditions. The risk of readmission for hospitalized patients has increased for 2 of 5 clinical cohorts.

Indexed as

AgedFee-for-Service PlansFemaleHospitalizationHumansMaleMedicarePatient ReadmissionRetrospective StudiesUnited States

Identifiers

PMID29455229
PMCPMC6063766

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Registered trials

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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.