The contribution of the composite of clinical process indicators as a measure of hospital performance in the management of acute coronary syndromes—insights from the CONCORDANCE registry

Article


Aliprandi-Costa, Bernadette, Sockler, James, Kritharides, Leonard, Morgan, Lucy, Snell, Lan-Chi, Gullick, Janice, Brieger, David and Ranasinghe, Isuru. 2016. "The contribution of the composite of clinical process indicators as a measure of hospital performance in the management of acute coronary syndromes—insights from the CONCORDANCE registry." European Heart Journal Quality of Care and Clinical Outcomes. 3 (1), pp. 37-46. https://doi.org/10.1093/ehjqcco/qcw023
Article Title

The contribution of the composite of clinical process indicators as a measure of hospital performance in the management of acute coronary syndromes—insights from the
CONCORDANCE registry

ERA Journal ID212433
Article CategoryArticle
AuthorsAliprandi-Costa, Bernadette (Author), Sockler, James (Author), Kritharides, Leonard (Author), Morgan, Lucy (Author), Snell, Lan-Chi (Author), Gullick, Janice (Author), Brieger, David (Author) and Ranasinghe, Isuru (Author)
Journal TitleEuropean Heart Journal Quality of Care and Clinical Outcomes
Journal Citation3 (1), pp. 37-46
Number of Pages10
Year2016
PublisherOxford University Press
Place of PublicationUnited Kingdom
ISSN2058-1742
2058-5225
Digital Object Identifier (DOI)https://doi.org/10.1093/ehjqcco/qcw023
Web Address (URL)https://academic.oup.com/ehjqcco/article/3/1/37/2928166
Abstract

Aims: Acute coronary syndrome (ACS) is a costly condition for health service provision yet variation in the delivery of care between hospitals persists. A composite measure of adherence with evidence-based clinical-process indicators (CPIs) could better inform hospital performance reporting and clinical outcomes in the management of ACS. Methods: Data on 7444 ACS patients from 39 Australian hospitals were used to derive a hospital-specific composite quality score by calculating mean adherence to 14 evidence-based CPIs. Using the generalized estimating equation to account for clustering of patients within hospitals and the GRACE risk score to adjust for differences in presenting risk, we evaluated associations between the hospital-specific composite quality score, in-hospital major adverse events, in-hospital mortality and mortality and readmission for ACS at 6 months. Results: Hospitals had a mean adherence of 68.3% (SD 21.7) with the composite quality score. There was significant variation between hospital adherence tertile 1 (79%) and tertile 3 (56%), P, 0.0001. With risk adjustment, there was an association between hospitals with a higher composite quality score and reduced in-hospital adverse events (OR: 0.85, CI: 0.71 - 0.99) and survival at hospital discharge (OR: 0.47; 95% CI: 0.28 - 0.77). There was trending improvement in survival at 6 months (OR 0.48; CI: 0.20 - 1.16) and fewer readmissions to hospital for ACS at 6 months (OR 0.79; CI 0.60 - 1.05). Conclusion: The association between the quality composite score and reduced in-hospital events and survival at hospital discharge supports the utility of reporting CPIs in routine hospital performance reporting on the management of ACS.

KeywordsPublic Health, Social Medicine and Epidemiology; Cardiovascular Diseases and Cardiovascular Surgery; Internal Medicine; Acute Coronary Syndrome; Aged; Australia; Disease Management; Female; Guideline Adherence; Hospital Mortality; Hospitals; Humans; Male; Middle Aged; Outcome and Process Assessment (Health Care); Registries; Risk Assessment; Risk Factors; Acute coronary syndrome; Adherence with evidence based care; Clinical process indicators; Quality composite score
ANZSRC Field of Research 2020350611. Service marketing
Institution of OriginUniversity of Southern Queensland
Byline AffiliationsUniversity of Sydney
Datapharm, Australia
Department of Health, New South Wales
University of Technology Sydney
Department of Health, South Australia
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