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Combining these findings suggests that standardised mortality ratios based on in-hospital mortality are subject to so-called "discharge bias".
For example, the United Kingdom used to report standardised mortality ratios based on in-hospital mortality but recently prolonged the timeframe to "30 days post-discharge".
Combining these findings suggests that standardised mortality ratios based on in-hospital mortality may be subject to so-called "discharge bias".
Standardised mortality ratios based on country of birth suggest lower mortality from breast cancer in South Asian women (Wild and McKeigue, 1997; Swerdlow et al, 1995).
Compared with standardised mortality ratios based on in-hospital mortality, we found that these timeframes resulted in differences in ratios and even altered judgments regarding the performance of individual hospitals.
We calculated the rate ratio and standardized mortality ratios based on age- and gender-specific cancer mortality rates for the different reference populations (based on district, county and province).
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In conclusion, statistical modeling predicts expected incidence using a more objective model, based on more information than the current incidence to mortality ratio based method.
Abbreviations: O: observed number of deaths; SMR: standardized mortality ratio based on U.S. referent rates; CI: confidence interval; MN: malignant neoplasm.
The mortality rates were 17% at 28 days, 19% at intensive care discharge, 24% at hospital discharge and 27% at 6 months, giving a standardised mortality ratio based on the APACHE II scores of 0.69 (95% CI 0.68, 0.70).
Abbreviations: ICD-9: International Classification of Diseases, Ninth Revision; O: observed number of deaths; SMR: standardized mortality ratio based on U.S. referent rates; CI: confidence interval; MN: malignant neoplasm.
Comorbidity categories were defined as normal, moderate, severe, and very severe according to the Charlson comorbidity index, and were compared by means of mortality rate ratios based on Cox regression.
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