Using Weighted Hospital Service Area Networks to Explore Variation in Preventable Hospitalization.

ABSTRACT:

Objective

To demonstrate the use of multiple-membership multilevel models, which analytically structure patients in a weighted network of hospitals, for exploring between-hospital variation in preventable hospitalizations.

Data sources

Cohort of 267,014 people aged over 45 in NSW, Australia.

Study design

Patterns of patient flow were used to create weighted hospital service area networks (weighted-HSANs) to 79 large public hospitals of admission. Multiple-membership multilevel models on rates of preventable hospitalization, modeling participants structured within weighted-HSANs, were contrasted with models clustering on 72 hospital service areas (HSAs) that assigned participants to a discrete geographic region.

Data collection/extraction methods

Linked survey a

SUBMITTER: Falster MO 

PROVIDER: S-EPMC6056604 | biostudies-literature | 2018 Aug

REPOSITORIES: biostudies-literature