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Another limitation is that our analysis relied heavily on self-reported case mix factors.
Table 2 presents the univariate relationships between specified case mix factors and ultimate hospital mortality.
Logistic regression was used to adjust for case mix factors including gestational age, birth weight, and maternal age.
The effect of case mix factors, specified a priori, on ultimate hospital mortality for admissions with asthma was investigated using logistic regression.
The effects of case mix factors, specified a priori, on ultimate hospital mortality for nonsurgical admissions with COPD were investigated using logistic regression.
The effect of case mix factors on length of stay in the CMP unit was explored in the same admissions as for the prognostic modelling.
Similar(34)
National-scale, population-based outcome studies of unselected patients undergoing ERCP are needed to define expected levels of real-world mortality risk and the case-mix factors that predict poor outcome.
Even if there are simple linear relationships between case-mix factors and mortality, there may also be systematic associations between case-mix factors and provider.
This indicates the part that case-mix factors explain concerning the total inter-practitioner variation [ 24].
The case-mix factors of this study explained 27.8% of the inter-practitioner variation.
The available explanatory variables were categorised into case-mix factors (Table 1) and hospital factors.
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