Primary health care delivery models in rural and remote Australia - a systematic review

dc.contributor.authorKuipers, Willem (Pim)
dc.contributor.authorWakerman, John
dc.contributor.authorHumphreys, John S
dc.contributor.authorWells, Robert
dc.contributor.authorEntwistle, Philip Lonsdale
dc.contributor.authorJones, Judith
dc.date.accessioned2010-07-27T06:28:12Z
dc.date.available2010-07-27T06:28:12Z
dc.date.issued2008en_US
dc.description© 2008 Wakerman et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.en
dc.description.abstractBackground One third of all Australians live outside of its major cities. Access to health services and health outcomes are generally poorer in rural and remote areas relative to metropolitan areas. In order to improve access to services, many new programs and models of service delivery have been trialled since the first National Rural Health Strategy in 1994. Inadequate evaluation of these initiatives has resulted in failure to garner knowledge, which would facilitate the establishment of evidence-based service models, sustain and systematise them over time and facilitate transfer of successful programs. This is the first study to systematically review the available published literature describing innovative models of comprehensive primary health care (PHC) in rural and remote Australia since the development of the first National Rural Health Strategy (1993–2006). The study aimed to describe what health service models were reported to work, where they worked and why. Methods A reference group of experts in rural health assisted in the development and implementation of the study. Peer-reviewed publications were identified from the relevant electronic databases. 'Grey' literature was identified pragmatically from works known to the researchers, reference lists and from relevant websites. Data were extracted and synthesised from papers meeting inclusion criteria. Results A total of 5391 abstracts were reviewed. Data were extracted finally from 76 'rural' and 17 'remote' papers. Synthesis of extracted data resulted in a typology of models with five broad groupings: discrete services, integrated services, comprehensive PHC, outreach models and virtual outreach models. Different model types assume prominence with increasing remoteness and decreasing population density. Whilst different models suit different locations, a number of 'environmental enablers' and 'essential service requirements' are common across all model types. Conclusion Synthesised data suggest that, moving away from Australian coastal population centres, sustainable models are able to address diseconomies of scale which result from large distances and small dispersed populations. Based on the service requirements and enablers derived from analysis of reported successful PHC service models, we have developed a conceptual framework that is particularly useful in underpinning the development of sustainable PHC models in rural and remote communities.en
dc.identifier.citationWakerman, J., Humphreys, J.S., Wells, R., Kuipers, W., Entwistle, P.L., & Jones, J., 2008. Primary health care delivery models in rural and remote Australia - a systematic review. BMC Health Services Research, 8.en
dc.identifier.doihttps://doi.org/10.1186/1472-6963-8-276en
dc.identifier.issn1472-6963
dc.identifier.rmid2006010931
dc.identifier.urihttp://hdl.handle.net/2328/11806
dc.language.isoen
dc.oaire.license.condition.licenseCC-BY
dc.rights© 2008 Wakerman et al; licensee BioMed Central Ltd.en
dc.rights.holderWakerman et al; licensee BioMed Central Ltd.en
dc.subject.forgroup1117 Public Health and Health Servicesen
dc.titlePrimary health care delivery models in rural and remote Australia - a systematic reviewen
dc.typeArticleen
local.contributor.authorOrcidLookupWakerman, John: https://orcid.org/0000-0002-8546-5434en_US
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