A vast literature has recently concerned the measurement of quality dimensions such as access, effectiveness, performance and outcome of health services supplied by national health care providers. The main concern is to achieve a classification of administrative areas with respect to observed quality indicators. We describe a simple and effective procedure to achieve this goal which allows powerful testing of the hypothesized cluster structure. We describe the performance of this method on a dataset on preventable hospitalizations (PPH) in Italy during 1998, in order to highlight clusters of regions with homogeneous relative risk.
Assessing Quality Using Routine Administrative Data: the Case of Preventable Hospitalizations
Nieddu L;
2005-01-01
Abstract
A vast literature has recently concerned the measurement of quality dimensions such as access, effectiveness, performance and outcome of health services supplied by national health care providers. The main concern is to achieve a classification of administrative areas with respect to observed quality indicators. We describe a simple and effective procedure to achieve this goal which allows powerful testing of the hypothesized cluster structure. We describe the performance of this method on a dataset on preventable hospitalizations (PPH) in Italy during 1998, in order to highlight clusters of regions with homogeneous relative risk.File in questo prodotto:
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