Ontology highlight
ABSTRACT: Objective
Preventable hospitalisations are used internationally as a performance indicator for primary care, but the influence of other health system factors remains poorly understood. This study investigated between-hospital variation in rates of preventable hospitalisation.Setting
Linked health survey and hospital admissions data for a cohort study of 266 826 people aged over 45 years in the state of New South Wales, Australia.Method
Between-hospital variation in preventable hospitalisation was quantified using cross-classified multiple-membership multilevel Poisson models, adjusted for personal sociodemographic, health and area-level contextual characteristics. Variation was also explored for two conditions unlikely to be influenced by discretionary admission pra
SUBMITTER: Falster MO
PROVIDER: S-EPMC6398792 | biostudies-literature | 2019 Feb
REPOSITORIES: biostudies-literature