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

<p>Abstract</p> <p>Background</p> <p>In-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 o...

Full description

Bibliographic Details
Main Authors: Molenberghs Geert, Terryn Nathalie, Aelvoet Willem, De Backer Guy, Vrints Christiaan, van Sprundel Marc
Format: Article
Language:English
Published: BMC 2010-12-01
Series:BMC Health Services Research
Online Access:http://www.biomedcentral.com/1472-6963/10/334
id doaj-f098d2828cd4498ca0d4325bc26f0682
record_format Article
spelling doaj-f098d2828cd4498ca0d4325bc26f06822020-11-25T00:09:24ZengBMCBMC Health Services Research1472-69632010-12-0110133410.1186/1472-6963-10-334Do inter-hospital comparisons of in-hospital, acute myocardial infarction case-fatality rates serve the purpose of fostering quality improvement? An evaluative studyMolenberghs GeertTerryn NathalieAelvoet WillemDe Backer GuyVrints Christiaanvan Sprundel Marc<p>Abstract</p> <p>Background</p> <p>In-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.</p> <p>Methods</p> <p>Hospital 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.</p> <p>Results</p> <p>We identified problems regarding both the CFR's numerator and denominator.</p> <p>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<sub>adj </sub>23.0; 95% CI [20.9;25.2]), and five-year age groups OR<sub>adj </sub>1.23; 95% CI [1.11;1.36]). Sizable inter-hospital and inter-type of hospital differences {(OR<sub>comunity vs tertiary hospitals</sub>1.36; 95% CI [1.34;1.39]) and (OR<sub>intermediary vs tertiary hospitals</sub>1.36; 95% CI [1.34;1.39])}, and nonconformities to guidelines for treatment were observed.</p> <p>Conclusions</p> <p>Despite 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.</p> http://www.biomedcentral.com/1472-6963/10/334
collection DOAJ
language English
format Article
sources DOAJ
author Molenberghs Geert
Terryn Nathalie
Aelvoet Willem
De Backer Guy
Vrints Christiaan
van Sprundel Marc
spellingShingle Molenberghs Geert
Terryn Nathalie
Aelvoet Willem
De Backer Guy
Vrints Christiaan
van Sprundel Marc
Do inter-hospital comparisons of in-hospital, acute myocardial infarction case-fatality rates serve the purpose of fostering quality improvement? An evaluative study
BMC Health Services Research
author_facet Molenberghs Geert
Terryn Nathalie
Aelvoet Willem
De Backer Guy
Vrints Christiaan
van Sprundel Marc
author_sort Molenberghs Geert
title Do inter-hospital comparisons of in-hospital, acute myocardial infarction case-fatality rates serve the purpose of fostering quality improvement? An evaluative study
title_short Do inter-hospital comparisons of in-hospital, acute myocardial infarction case-fatality rates serve the purpose of fostering quality improvement? An evaluative study
title_full Do inter-hospital comparisons of in-hospital, acute myocardial infarction case-fatality rates serve the purpose of fostering quality improvement? An evaluative study
title_fullStr Do inter-hospital comparisons of in-hospital, acute myocardial infarction case-fatality rates serve the purpose of fostering quality improvement? An evaluative study
title_full_unstemmed Do inter-hospital comparisons of in-hospital, acute myocardial infarction case-fatality rates serve the purpose of fostering quality improvement? An evaluative study
title_sort do inter-hospital comparisons of in-hospital, acute myocardial infarction case-fatality rates serve the purpose of fostering quality improvement? an evaluative study
publisher BMC
series BMC Health Services Research
issn 1472-6963
publishDate 2010-12-01
description <p>Abstract</p> <p>Background</p> <p>In-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.</p> <p>Methods</p> <p>Hospital 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.</p> <p>Results</p> <p>We identified problems regarding both the CFR's numerator and denominator.</p> <p>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<sub>adj </sub>23.0; 95% CI [20.9;25.2]), and five-year age groups OR<sub>adj </sub>1.23; 95% CI [1.11;1.36]). Sizable inter-hospital and inter-type of hospital differences {(OR<sub>comunity vs tertiary hospitals</sub>1.36; 95% CI [1.34;1.39]) and (OR<sub>intermediary vs tertiary hospitals</sub>1.36; 95% CI [1.34;1.39])}, and nonconformities to guidelines for treatment were observed.</p> <p>Conclusions</p> <p>Despite 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.</p>
url http://www.biomedcentral.com/1472-6963/10/334
work_keys_str_mv AT molenberghsgeert dointerhospitalcomparisonsofinhospitalacutemyocardialinfarctioncasefatalityratesservethepurposeoffosteringqualityimprovementanevaluativestudy
AT terrynnathalie dointerhospitalcomparisonsofinhospitalacutemyocardialinfarctioncasefatalityratesservethepurposeoffosteringqualityimprovementanevaluativestudy
AT aelvoetwillem dointerhospitalcomparisonsofinhospitalacutemyocardialinfarctioncasefatalityratesservethepurposeoffosteringqualityimprovementanevaluativestudy
AT debackerguy dointerhospitalcomparisonsofinhospitalacutemyocardialinfarctioncasefatalityratesservethepurposeoffosteringqualityimprovementanevaluativestudy
AT vrintschristiaan dointerhospitalcomparisonsofinhospitalacutemyocardialinfarctioncasefatalityratesservethepurposeoffosteringqualityimprovementanevaluativestudy
AT vansprundelmarc dointerhospitalcomparisonsofinhospitalacutemyocardialinfarctioncasefatalityratesservethepurposeoffosteringqualityimprovementanevaluativestudy
_version_ 1725411992524554240