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

    Author(s)
    Foster, Michele
    O'Flaherty, Martin
    Haynes, Michele
    Mitchell, Geoffrey
    Haines, T. P.
    Griffith University Author(s)
    Foster, Michele M.
    Year published
    2013
    Metadata
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    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 ...
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    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 policyincentivesto enhance use. Yet, whether all thosein need are ableto access servicesis unknown. Furtherinvestigation of use among groups with different health needs and by type of financing will enhance policy.
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    Journal Title
    Australian Health Review
    Volume
    37
    Issue
    3
    DOI
    https://doi.org/10.1071/AH12040
    Subject
    Public Health and Health Services not elsewhere classified
    Publication URI
    http://hdl.handle.net/10072/173582
    Collection
    • Journal articles

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