Skip navigation
Skip navigation

Sociodemographic and health characteristics, rather than primary care supply, are major drivers of geographic variation in preventable hospitalisations in Australia

Falster, Michael; Jorm, Louisa; Douglas, Kirsty; Blyth, Fiona; Elliott, Robert F; Leyland, Alastair H

Description

Background: Geographic rates of preventable hospitalization are used internationally as an indicator of accessibility and quality of primary care. Much research has correlated the indicator with the supply of primary care services, yet multiple other factors may influence these admissions. Objective: To quantify the relative contributions of the supply of general practitioners (GPs) and personal sociodemographic and health characteristics, to geographic variation in preventable hospitalization....[Show more]

dc.contributor.authorFalster, Michael
dc.contributor.authorJorm, Louisa
dc.contributor.authorDouglas, Kirsty
dc.contributor.authorBlyth, Fiona
dc.contributor.authorElliott, Robert F
dc.contributor.authorLeyland, Alastair H
dc.date.accessioned2015-12-07T22:33:34Z
dc.identifier.issn0025-7079
dc.identifier.urihttp://hdl.handle.net/1885/23333
dc.description.abstractBackground: Geographic rates of preventable hospitalization are used internationally as an indicator of accessibility and quality of primary care. Much research has correlated the indicator with the supply of primary care services, yet multiple other factors may influence these admissions. Objective: To quantify the relative contributions of the supply of general practitioners (GPs) and personal sociodemographic and health characteristics, to geographic variation in preventable hospitalization. Methods: Self-reported questionnaire data for 267,091 participants in the 45 and Up Study, Australia, were linked with administrative hospital data to identify preventable hospitalizations. Multilevel Poisson models, with participants clustered in their geographic area of residence, were used to explore factors that explain geographic variation in hospitalization. Results: GP supply, measured as full-time workload equivalents, was not a significant predictor of preventable hospitalization, and explained only a small amount (2.9%) of the geographic variation in hospitalization rates. Conversely, more than one-third (36.9%) of variation was driven by the sociodemographic composition, health, and behaviors of the population. These personal characteristics explained a greater amount of the variation for chronic conditions (37.5%) than acute (15.5%) or vaccine-preventable conditions (2.4%). Conclusions: Personal sociodemographic and health characteristics, rather than GP supply, are major drivers of preventable hospitalization. Their contribution varies according to condition, and if used for performance comparison purposes, geographic rates of preventable hospitalization should be reported according to individual condition or potential pathways for intervention.
dc.publisherLippincott Williams & Wilkins Ltd.
dc.sourceMedical Care
dc.titleSociodemographic and health characteristics, rather than primary care supply, are major drivers of geographic variation in preventable hospitalisations in Australia
dc.typeJournal article
local.description.notesImported from ARIES
local.identifier.citationvolume53
dc.date.issued2015
local.identifier.absfor111700 - PUBLIC HEALTH AND HEALTH SERVICES
local.identifier.ariespublicationu4425841xPUB26
local.type.statusPublished Version
local.contributor.affiliationFalster, Michael, University of Western Sydney
local.contributor.affiliationJorm, Louisa , The Sax Institute
local.contributor.affiliationDouglas, Kirsty, College of Medicine, Biology and Environment, ANU
local.contributor.affiliationBlyth, Fiona , The Sax Institute
local.contributor.affiliationElliott, Robert F, University of Aberdeen
local.contributor.affiliationLeyland, Alastair H, MRC/CSO Social and Public Health Sciences Unit
local.bibliographicCitation.issue5
local.bibliographicCitation.startpage436
local.bibliographicCitation.lastpage445
local.identifier.doi10.1097/MLR.0000000000000342
dc.date.updated2015-12-07T10:33:37Z
local.identifier.scopusID2-s2.0-84928480241
CollectionsANU Research Publications

Download

There are no files associated with this item.


Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.

Updated:  19 May 2020/ Responsible Officer:  University Librarian/ Page Contact:  Library Systems & Web Coordinator