Evidence map›Paper›PMID 37463255›Full record

ArticleCirculation. Cardiovascular quality and outcomes2023

Relationship Between In-Hospital Adverse Events and Hospital Performance on 30-Day All-cause Mortality and Readmission for Patients With Heart Failure.

Yun Wang, Noel Eldridge, Mark L Metersky, David Rodrick, Sheila Eckenrode, Jasie Mathew, Deron H Galusha, Andrea A Peterson, David Hunt, Sharon-Lise T Normand and 1 more

Abstract read
In one paragraph

Article in Circulation. Cardiovascular quality and outcomes, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

11 authors.

Yun WangCenter for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, CT (S.E., J.M., H.M.K., Y.W.).
Noel EldridgeAgency for Healthcare Research and Quality (D.R., N.E.), both from the United States Department of Health and Human Services, Rockville, MD.
Mark L MeterskyUniversity of Connecticut School of Medicine, Farmington, CT (M.L.M.).ORCID 0000-0003-1968-1400
David RodrickAgency for Healthcare Research and Quality (D.R., N.E.), both from the United States Department of Health and Human Services, Rockville, MD.
Sheila EckenrodeCenter for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, CT (S.E., J.M., H.M.K., Y.W.).ORCID 0009-0009-6470-4000
Jasie MathewCenter for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, CT (S.E., J.M., H.M.K., Y.W.).ORCID 0000-0002-3107-7495
Deron H GalushaSection of General Internal Medicine (D.H.G.), Department of Internal Medicine, Yale School of Medicine, New Haven, CT.ORCID 0000-0003-1136-6422
Andrea A PetersonHartford Healthcare, Trumbull, CT (A.A.P.).
David HuntOffice of the National Coordinator for Health Information Technology (D.H.), both from the United States Department of Health and Human Services, Rockville, MD.ORCID 0009-0000-1593-2167
Sharon-Lise T NormandDepartment of Health Care Policy, Harvard Medical School, Boston, MA (S.-L.T.N.).ORCID 0000-0001-7027-4769
Harlan M KrumholzCenter for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, CT (S.E., J.M., H.M.K., Y.W.).ORCID 0000-0003-2046-127X

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
AHRQ HHS HHSA290201800005CNCATS NIH HHS UL1 TR001863
6 · The paper itself

Abstract

backgroundHospitals with high mortality and readmission rates for patients with heart failure (HF) might also perform poorly in other quality concepts. We sought to evaluate the association between hospital performance on mortality and readmission with hospital performance rates of safety adverse events.

methodsThis cross-sectional study linked the 2009 to 2019 patient-level adverse events data from the Medicare Patient Safety Monitoring System, a randomly selected medical records-abstracted patient safety database, to the 2005 to 2016 hospital-level HF-specific 30-day all-cause mortality and readmissions data from the United States Centers for Medicare & Medicaid Services. Hospitals were classified to one of 3 performance categories based on their risk-standardized 30-day all-cause mortality and readmission rates: better (both in <25th percentile), worse (both >75th percentile), and average (otherwise). Our main outcome was the occurrence (yes/no) of one or more adverse events during hospitalization. A mixed-effect model was fit to assess the relationship between a patient's risk of having adverse events and hospital performance categories, adjusted for patient and hospital characteristics.

resultsThe study included 39 597 patients with HF from 3108 hospitals, of which 252 hospitals (8.1%) and 215 (6.9%) were in the better and worse categories, respectively. The rate of patients with one or more adverse events during a hospitalization was 12.5% (95% CI, 12.1-12.8). Compared with patients admitted to better hospitals, patients admitted to worse hospitals had a higher risk of one or more hospital-acquired adverse events (adjusted risk ratio, 1.24 [95% CI, 1.06-1.44]).

conclusionsPatients admitted with HF to hospitals with high 30-day all-cause mortality and readmission rates had a higher risk of in-hospital adverse events. There may be common quality issues among these 3 measure concepts in these hospitals that produce poor performance for patients with HF.

Indexed as

Heart FailurePatient ReadmissionAgedCross-Sectional StudiesHospital MortalityHospitalsHumansMedicareUnited Statesheart failurehospitalizationmortality ratereadmission rates

Identifiers

PMID37463255
PMCPMC10351904

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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.