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Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index
Published on: January 8, 2020
[Hospital standardised mortality ratios based on data from administrative registries. A pilot project]
Steffen Christensen1, Jacob Jacobsen, Paul Bartels
1Klinisk Epidemiologisk Afdeling, Arhus Sygehus, DK-8000 Arhus C. sc@dce.au.dk
Ugeskrift for Laeger
|September 20, 2007
Summary
Hospital standardised mortality ratios (HSMR) can be computed using Danish registries. This study found that HSMR varied little between hospitals, suggesting reliable quality improvement metrics.
Area of Science:
- Health Services Research
- Public Health
- Healthcare Quality Improvement
Background:
- Hospital standardised mortality ratios (HSMR) are integral to quality improvement initiatives.
- The applicability of HSMR computation using Danish administrative registries was previously unestablished.
- This study aimed to assess the feasibility of calculating HSMR from Danish registry data.
Purpose of the Study:
- To determine if HSMR can be computed using Danish administrative registries.
- To evaluate the variation in HSMR across Danish hospitals.
- To assess the utility of Danish registries for national healthcare quality monitoring.
Main Methods:
- Linked Danish hospital discharge and Civil Registration System registries.
- Identified 77 primary discharge diagnoses responsible for 80% of in-hospital deaths within 30 days.
- Calculated HSMR by comparing observed to expected deaths, stratified by diagnosis, age, gender, and admission type.
Main Results:
- Pneumonia (non-specified) was the leading diagnosis for 30-day in-hospital mortality.
- Crude mortality rates ranged from 5.7% to 6.3%.
- HSMR values showed minimal variation, ranging from 95 to 103 across hospitals.
Conclusions:
- Danish administrative registries are suitable for computing HSMR.
- HSMR demonstrated limited variability among hospitals with similar case-mixes.
- Findings support the use of HSMR for quality assessment in the Danish healthcare system.
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