
To assess the consequences of applying different mortality timeframes on standardised mortality ratios of individual hospitals and, secondarily, to evaluate the association between in-hospital standardised mortality ratios and early post-discharge mortality rate, length of hospital stay, and transfer rate.Retrospective analysis of routinely collected hospital data to compare observed deaths in 50 diagnostic categories with deaths predicted by a case mix adjustment method.60 Dutch hospitals.1 228 815 patients discharged in the period 2008 to 2010.In-hospital standardised mortality ratio, 30 days post-admission standardised mortality ratio, and 30 days post-discharge standardised mortality ratio.Compared with the in-hospital standardised mortality ratio, 33% of the hospitals were categorised differently with the 30 days post-admission standardised mortality ratio and 22% were categorised differently with the 30 days post-discharge standardised mortality ratio. A positive association was found between in-hospital standardised mortality ratio and length of hospital stay (Pearson correlation coefficient 0.33; P=0.01), and an inverse association was found between in-hospital standardised mortality ratio and early post-discharge mortality (Pearson correlation coefficient -0.37; P=0.004).Applying different mortality timeframes resulted in differences in standardised mortality ratios and differences in judgment regarding the performance of individual hospitals. Furthermore, associations between in-hospital standardised mortality rates, length of stay, and early post-discharge mortality rates were found. Combining these findings suggests that standardised mortality ratios based on in-hospital mortality are subject to so-called "discharge bias." Hence, early post-discharge mortality should be included in the calculation of standardised mortality ratios.
Male, Patient Transfer, Time Factors, Databases, Factual, Research, EMC NIHES-02-65-01, Length of Stay, Middle Aged, Hospitals, Patient Discharge, Benchmarking, Humans, Female, Risk Adjustment, Hospital Mortality, Registries, Netherlands, Retrospective Studies
Male, Patient Transfer, Time Factors, Databases, Factual, Research, EMC NIHES-02-65-01, Length of Stay, Middle Aged, Hospitals, Patient Discharge, Benchmarking, Humans, Female, Risk Adjustment, Hospital Mortality, Registries, Netherlands, Retrospective Studies
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