Evidence map›Paper›PMID 39788768›Full record

Observational studyBMJ open2025

Identifying high-impact-opportunity hospitals for improving healthcare quality based on a national population analysis of inter-hospital variation in mortality, readmissions and prolonged length of stay.

Astrid Van Wilder, Luk Bruyneel, Bianca Cox, Fien Claessens, Dirk De Ridder, Kris Vanhaecht

Abstract readMulticenter StudyObservational Study
In one paragraph

Observational study in BMJ open, 2025. 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

6 authors.

Astrid Van WilderDepartment of Public Health and Primary Care - Leuven Institute for Healthcare Policy, KU Leuven, Leuven, Flanders, Belgium astrid.vanwilder@kuleuven.be.ORCID 0000-0001-7475-4890
Luk BruyneelDepartment of Public Health and Primary Care - Leuven Institute for Healthcare Policy, KU Leuven, Leuven, Flanders, Belgium.
Bianca CoxDepartment of Public Health and Primary Care - Leuven Institute for Healthcare Policy, KU Leuven, Leuven, Flanders, Belgium.
Fien ClaessensDepartment of Public Health and Primary Care - Leuven Institute for Healthcare Policy, KU Leuven, Leuven, Flanders, Belgium.ORCID 0000-0001-6404-5660
Dirk De RidderDepartment of Public Health and Primary Care - Leuven Institute for Healthcare Policy, KU Leuven, Leuven, Flanders, Belgium.
Kris VanhaechtDepartment of Public Health and Primary Care - Leuven Institute for Healthcare Policy, KU Leuven, Leuven, Flanders, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo study between-hospital variation in mortality, readmissions and prolonged length of stay across Belgian hospitals.

designA retrospective nationwide observational study.

settingSecondary and tertiary acute-care hospitals in Belgium.

participantsWe studied 4 560 993 hospital stays in 99 (98%) Belgian acute-care hospitals between 2016 and 2018. PRIMARY OUTCOME MEASURES: Using generalised linear mixed models, we calculated hospital-specific and Major Diagnostic Category (MDC)-specific risk-adjusted in-hospital mortality, readmissions within 30 days and length of stay above the MDC-specific 90th percentile and assessed between-hospital variation through estimated variance components.

resultsThere was strong evidence of between-hospital variation in mortality, readmissions and prolonged length of stay across the vast majority of patient service lines. Overall, should hospitals with upper-quartile risk-standardised rates succeed in improving to the median level, a yearly 4076 hospital deaths, 3671 readmissions and 15 787 long patient stays could potentially be avoided in those hospitals. Our analysis revealed a select set of 'high-impact-opportunity hospitals' characterised by poor performance across outcomes and across a large number of MDCs.

conclusionsAnalysis of between-hospital variation highlights important differences in patient outcomes that are not explained by known patient or hospital characteristics. Identifying 'high-impact-opportunity hospitals' can help government inspection bodies and hospital managers to establish targeted audits and inspections to generate effective quality improvement initiatives.

Indexed as

Hospital MortalityLength of StayPatient ReadmissionAgedBelgiumFemaleHospitalsHumansMaleMiddle AgedQuality ImprovementQuality of Health CareRetrospective StudiesHospitalsMortalityPatientsQuality in health care

Identifiers

PMID39788768
PMCPMC11751992

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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.