Validation of Jarman's method of calculation of hospital standardised mortality ratios.
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.
School of Medicine and Pharmacology, Royal Perth Hospital Unit, Perth, WA, Australia.
Sunil Kumar
SK
Bhat
Sangeeta
S
Malla
D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D002423:Cause of Death; D015331:Cohort Studies; D016001:Confidence Intervals; D003953:Diagnosis-Related Groups / Q000706:statistics & numerical data; D005260:Female; D017052:Hospital Mortality; D006784:Hospitals, Teaching / Q000706:statistics & numerical data; D006801:Humans; D008297:Male; D008875:Middle Aged; D010360:Patient Transfer / Q000706:statistics & numerical data; D014904:Western Australia / Q000453:epidemiology; D055815:Young Adult