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Validation of Jarman's method of calculation of hospital standardised mortality ratios
Sunil Kumar Bhat1, Sangeeta Malla
1School of Medicine and Pharmacology, Royal Perth Hospital Unit, Perth, WA, Australia.
Insights
The Linkage-derived cumulative mortality ratio (CMR) more accurately ascertains deaths than the Jarman-derived hospital standardised mortality ratio (HSMR). Using linked data overcomes issues with incorrect deaths and unfair apportionment in hospital performance metrics.
Area of Science:
- Health Services Research
- Public Health
- Health Informatics
Background:
- Hospital Standardised Mortality Ratios (HSMR) are used to assess hospital performance.
- Existing methods like the Jarman-derived HSMR have limitations in accurately reflecting mortality data.
- Inter-hospital comparisons based on mortality ratios are published but can show variability.
Purpose of the Study:
- To compare Jarman-derived hospital standardised mortality ratios (HSMR) with Linkage-derived cumulative mortality ratios (CMR).
- To evaluate the accuracy of different methods for ascertaining hospital mortality data.
- To identify discrepancies and reasons for differences between HSMR and CMR.
Main Methods:
- Derived HSMR and CMR values from single-year cohorts of linked patient admissions and deaths for four hospital groups.
- Compared HSMR and CMR values across different hospital types.
- Explored differences and suggested reasons for non-matching and discordant mortality data.
Main Results:
- Metropolitan teaching hospitals showed a significantly lower Jarman-derived HSMR (0.95) compared to the Linkage-derived CMR (0.99).
- Metropolitan non-teaching public hospitals exhibited a significantly lower Linkage-derived CMR (0.81) than the Jarman-derived HSMR (1.03).
- The Jarman method showed unfair apportionment of excess deaths to teaching hospitals.
Conclusions:
- The Linkage-derived CMR, using state death registry data, more accurately ascertains the number of deaths than the Jarman-derived HSMR.
- The Linked method overcomes issues of incorrect deaths and unfair apportionment seen in the Jarman method.
- Dual death derivations can identify unmatched or discordant deaths, aiding in the understanding of hospital discharge practices.
Objective:
To compare Jarman-derived hospital standardised mortality ratios (HSMR) and Linkage-derived cumulative mortality ratios (CMR).
Methods:
HSMR and CMR values for four groups of hospitals were derived from four single-year cohorts of linked patient admissions and deaths, and compared; differences were explored and reasons for non-matching and discordance were suggested.
Results:
For the group of metropolitan teaching hospitals the Jarman-derived HSMR value of 0.95 (95% CI 0.93-0.97) was significantly lower than the Linkage-derived CMR value of 0.99 (95% CI 0.97-1.01). The opposite result was seen for the group of metropolitan non-teaching public hospitals: the Linkage-derived CMR of 0.81 (0.77-0.85) was significantly lower than the Jarman method HSMR of 1.03 (0.98-1.07).
Conclusions:
Incorrect deaths in the Jarman method can be overcome by using the Linked method. The Jarman method, unable to adjust for the contiguous transfers related to the death, apportioned excess deaths unfairly to the teaching hospitals group. WHAT IS KNOWN ABOUT THE TOPIC? HSMR based on hospital separation record information can reflect hospital performance if monitored over a regular period. Despite considerable variability, inter-hospital comparison league tables of hospitals based on such ratios have been published. WHAT DOES THIS PAPER ADD? This study demonstrated that the Linkage-derived CMR, utilising valid details from the state death registry, more accurately ascertains number of deaths than does the Jarman method-derived HSMR. WHAT ARE THE IMPLICATIONS FOR PRACTITIONERS? Where data linkages are possible, dual death derivations by the Jarman method and the Linked method can identify any unmatched or discordant deaths. Detailed exploration may help identify any differing hospital discharge practices.
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