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Use of measures of socioeconomic deprivation in planning primary health care workforce and defining health care need in Australia

Butler, Danielle; Petterson, Stephen; Bazemore, Andrew; Douglas, Kirsty P

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Objective: To examine whether measures of remoteness areas adequately reveal high need populations, measured against socioeconomic disadvantage and physician to population ratios. Design: Exploratory spatial analysis of relationships between remoteness areas, medical workforce supply and the index of relative socioeconomic disadvantage (IRSD). Bivariate analyses examined associations between remoteness areas and IRSD. From this analysis, a composite score of deprivation was constructed...[Show more]

dc.contributor.authorButler, Danielle
dc.contributor.authorPetterson, Stephen
dc.contributor.authorBazemore, Andrew
dc.contributor.authorDouglas, Kirsty P
dc.date.accessioned2015-12-10T22:39:45Z
dc.identifier.issn1038-5282
dc.identifier.urihttp://hdl.handle.net/1885/57323
dc.description.abstractObjective: To examine whether measures of remoteness areas adequately reveal high need populations, measured against socioeconomic disadvantage and physician to population ratios. Design: Exploratory spatial analysis of relationships between remoteness areas, medical workforce supply and the index of relative socioeconomic disadvantage (IRSD). Bivariate analyses examined associations between remoteness areas and IRSD. From this analysis, a composite score of deprivation was constructed combining measures of remoteness areas, physician to population ratios and IRSD, and validated against health outcome measures. These measures included avoidable mortality per 100 000, risk behaviour rate per 1000, diabetes rate per 1000. All analyses were conducted at the statistical local area level and weighted to be population representative. Results: The percentage of small areas and populations within the most socioeconomically disadvantaged quintile rose with increasing remoteness. However, 12.8% of small areas within major cities and 40.7% of outer regional areas were also within the lowest socioeconomic quintile. There was a strong relationship between our composite score of deprivation and avoidable mortality, risk rate, diabetes rate and per cent Indigenous. Regression analysis examined the relationship between each element of the composite score and health outcomes. This revealed that the association between avoidable mortality and remoteness was lost after controlling for per cent Indigenous. Conclusions: Using remoteness areas alone to prioritise workforce incentive programs and training requirements has significant limitations. Including measures of socioeconomic disadvantage and workforce supply would better target health inequities and improve resource allocation in Australia.
dc.publisherBlackwell Science Asia
dc.sourceAustralian Journal of Rural Health
dc.subjectKeywords: article; Australia; economics; health care delivery; health care disparity; health care planning; health survey; human; manpower; needs assessment; poverty; primary health care; standard; Australia; Health Services Accessibility; Health Status Indicators; Geographic information systems; GIS; Health care access; Health equity; Index of relative socioeconomic disadvantage
dc.titleUse of measures of socioeconomic deprivation in planning primary health care workforce and defining health care need in Australia
dc.typeJournal article
local.description.notesImported from ARIES
local.identifier.citationvolume18
dc.date.issued2010
local.identifier.absfor111717 - Primary Health Care
local.identifier.ariespublicationf2965xPUB396
local.type.statusPublished Version
local.contributor.affiliationButler, Danielle, College of Medicine, Biology and Environment, ANU
local.contributor.affiliationPetterson, Stephen, American Academy of Family Physicians
local.contributor.affiliationBazemore, Andrew, American Academy of Family Physicians
local.contributor.affiliationDouglas, Kirsty P, College of Arts and Social Sciences, ANU
local.description.embargo2037-12-31
local.bibliographicCitation.issue5
local.bibliographicCitation.startpage199
local.bibliographicCitation.lastpage204
local.identifier.doi10.1111/j.1440-1584.2010.01154.x
dc.date.updated2016-02-24T08:28:14Z
local.identifier.scopusID2-s2.0-78649460849
CollectionsANU Research Publications

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