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The Dutch hospital standardised mortality ratio (HSMR) method and cardiac surgery: benchmarking in a national cohort using hospital administration data versus a clinical database.
- Source :
-
Heart (British Cardiac Society) [Heart] 2014 May; Vol. 100 (9), pp. 702-10. Date of Electronic Publication: 2013 Dec 13. - Publication Year :
- 2014
-
Abstract
- Objective: To compare the accuracy of data from hospital administration databases and a national clinical cardiac surgery database and to compare the performance of the Dutch hospital standardised mortality ratio (HSMR) method and the logistic European System for Cardiac Operative Risk Evaluation, for the purpose of benchmarking of mortality across hospitals.<br />Methods: Information on all patients undergoing cardiac surgery between 1 January 2007 and 31 December 2010 in 10 centres was extracted from The Netherlands Association for Cardio-Thoracic Surgery database and the Hospital Discharge Registry. The number of cardiac surgery interventions was compared between both databases. The European System for Cardiac Operative Risk Evaluation and hospital standardised mortality ratio models were updated in the study population and compared using the C-statistic, calibration plots and the Brier-score.<br />Results: The number of cardiac surgery interventions performed could not be assessed using the administrative database as the intervention code was incorrect in 1.4-26.3%, depending on the type of intervention. In 7.3% no intervention code was registered. The updated administrative model was inferior to the updated clinical model with respect to discrimination (c-statistic of 0.77 vs 0.85, p<0.001) and calibration (Brier Score of 2.8% vs 2.6%, p<0.001, maximum score 3.0%). Two average performing hospitals according to the clinical model became outliers when benchmarking was performed using the administrative model.<br />Conclusions: In cardiac surgery, administrative data are less suitable than clinical data for the purpose of benchmarking. The use of either administrative or clinical risk-adjustment models can affect the outlier status of hospitals. Risk-adjustment models including procedure-specific clinical risk factors are recommended.
- Subjects :
- Adolescent
Adult
Aged
Aged, 80 and over
Cardiac Surgical Procedures statistics & numerical data
Child
Child, Preschool
Databases, Factual
Female
Follow-Up Studies
Heart Diseases mortality
Hospital Mortality trends
Humans
Male
Middle Aged
Netherlands epidemiology
Patient Discharge trends
Prognosis
Reproducibility of Results
Retrospective Studies
Risk Factors
Young Adult
Benchmarking methods
Cardiac Surgical Procedures mortality
Heart Diseases surgery
Hospital Administration statistics & numerical data
Hospital Records
Risk Adjustment methods
Subjects
Details
- Language :
- English
- ISSN :
- 1468-201X
- Volume :
- 100
- Issue :
- 9
- Database :
- MEDLINE
- Journal :
- Heart (British Cardiac Society)
- Publication Type :
- Academic Journal
- Accession number :
- 24334377
- Full Text :
- https://doi.org/10.1136/heartjnl-2013-304645