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Australian Health Review Australian Health Review Society
Journal of the Australian Healthcare & Hospitals Association
RESEARCH ARTICLE

Health for all? Patterns and predictors of allied health service use in Australia

Michele Foster A E , Martin O’Flaherty B , Michele Haynes B , Geoffrey Mitchell C and Terrence P. Haines D
+ Author Affiliations
- Author Affiliations

A School of Social Work and Human Services, The University of Queensland, St Lucia, Qld 4072, Australia.

B Institute of Social Science Research, The University of Queensland, St Lucia, Qld 4072, Australia. Email: m.oflaherty@uq.edu.au, m.haynes@uq.edu.au

C The University of Queensland Ipswich Campus, Salisbury Road, Ipswich, Qld 4305, Australia. Email: g.mitchell@uq.edu.au

D Southern Health Victoria, Monash University, Melbourne, Vic. 3800, Australia. Email: terrence.haines@monash.edu.au

E Corresponding author. Email: m.foster@social.uq.edu.au

Australian Health Review 37(3) 389-396 https://doi.org/10.1071/AH12040
Submitted: 23 July 2012  Accepted: 5 February 2013   Published: 17 May 2013

Abstract

Objective To examine patterns and predictors of allied health service use among the Australian population.

Methods Data from the 2007–08 longitudinal National Health Survey conducted by the Australian Bureau of Statistics in Australia were used to examine differences in use of allied health services among the population. The survey is based on 15 779 adult respondents. Multivariate logistic regression models were used to model the probability of visiting an allied health service contingent on multiple factors of interest.

Results Men, less educated people and people from non-English speaking backgrounds were low users compared with other groups. Interestingly, people with type 2 diabetes were substantially higher users compared with people with other chronic diseases, or no reported chronic disease, and ancillary health insurance had a strong positive effect on use.

Discussion Further investigation of the social and economic circumstances surrounding allied health service use is required to determine areas of under use or unmet need. High use among people with diabetes might indicate the impact of policy incentives to enhance use. Yet, whether all those in need are able to access services is unknown. Further investigation of use among groups with different health needs and by type of financing will enhance policy.

What is known about the topic? Inequities and variations in access to allied health services are commonplace. Effective policy initiatives to improve access, particularly among patients with chronic disease, will depend on improving the knowledge base about patterns of use of allied health services, and what determines use.

What does this paper add? This paper reveals the high and low users of allied health services among the Australian population, those population groups who might be missing out and what might explain these patterns. This information will enable policy makers to target areas of potential unmet need.

What are the implications for practitioners? Multidisciplinary team care is advocated in the management of chronic disease. Practitioners have a vital role in framing the benefits of allied health services to patients and in developing the evidence base about best practice in the management of chronic disease for diverse patient groups.


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