Evidence map›Paper›PMID 21143853›Full record

ArticleBMC health services research2010

Do inter-hospital comparisons of in-hospital, acute myocardial infarction case-fatality rates serve the purpose of fostering quality improvement? An evaluative study.

Willem Aelvoet, Nathalie Terryn, Geert Molenberghs, Guy De Backer, Christiaan Vrints, Marc van Sprundel

Abstract readEvaluation Study
In one paragraph

Article in BMC health services research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Willem AelvoetFederal Service of Health, Food Chain Safety and Environment, Brussels, Belgium. willem.aelvoet@health.fgov.be
Nathalie Terryn
Geert Molenberghs
Guy De Backer
Christiaan Vrints
Marc van Sprundel

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn-hospital case-fatality rates in patients, admitted for acute myocardial infarction (AMI-CFRs), are internationally used as a quality indicator. Attempting to encourage the hospitals to assume responsibility, the Belgian Ministry of Health decided to stimulate initiatives of quality improvement by means of a limited set of indicators, among which AMI-CFR, to be routinely analyzed. In this study we aimed, by determining the existence of inter-hospital differences in AMI-CFR, (1) to evaluate to which extent Belgian discharge records allow the assessment of quality of care in the field of AMI, and (2) to identify starting points for quality improvement.

methodsHospital discharge records from all the Belgian short-term general hospitals in the period 2002-2005. The study population (N = 46,287) included patients aged 18 years and older, hospitalized for AMI. No unique patient identifier being present, we tried to track transferred patients. We assessed data quality through a comparison of MCD with data from two registers for acute coronary events and through transfer and sensitivity analyses. We compared AMI-CFRs across hospitals, using multivariable logistic regression models. In the main model hospitals, Charlson's co-morbidity index, age, gender and shock constituted the covariates. We carried out two types of analyses: a first one wherein transferred-out cases were excluded, to avoid double counting of patients when computing rates, and a second one with exclusion of all transferred cases, to allow the study of patients admitted into, treated in and discharged from the same hospital.

resultsWe identified problems regarding both the CFR's numerator and denominator.Sensitivity analyses revealed differential coding and/or case management practices. In the model with exclusion of transfer-out cases, the main determinants of AMI-CFR were cardiogenic shock (OR(adj) 23.0; 95% CI [20.9;25.2]), and five-year age groups OR(adj) 1.23; 95% CI [1.11;1.36]). Sizable inter-hospital and inter-type of hospital differences {(OR(comunity vs tertiary hospitals)1.36; 95% CI [1.34;1.39]) and (OR(intermediary vs tertiary hospitals)1.36; 95% CI [1.34;1.39])}, and nonconformities to guidelines for treatment were observed.

conclusionsDespite established data quality shortcomings, the magnitude of the observed differences and the nonconformities constitute leads to quality improvement. However, to measure progress, ways to improve and routinely monitor data quality should be developed.

Indexed as

AdolescentAdultAgedAged, 80 and overBelgiumCase ManagementComorbidityFemaleHealth Services ResearchHospitalizationHospital MortalityHospitalsHumansMaleMiddle AgedMyocardial Infarction

Identifiers

PMID21143853
PMCPMC3016357

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