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Effect of health insurance on the utilisation of allied health services by people with chronic disease: a systematic review and meta-analysis

Overview of attention for article published in Australian Journal of Primary Health, October 2013
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Title
Effect of health insurance on the utilisation of allied health services by people with chronic disease: a systematic review and meta-analysis
Published in
Australian Journal of Primary Health, October 2013
DOI 10.1071/py13092
Pubmed ID
Authors

Elizabeth H. Skinner, Michele Foster, Geoffrey Mitchell, Michele Haynes, Martin O’Flaherty, Terry P. Haines

Abstract

Allied health services benefit the management of many chronic diseases. The effects of health insurance on the utilisation of allied health services has not yet been established despite health insurance frequently being identified as a factor promoting utilisation of medical and hospital services among people with chronic disease. The objective of this systematic review and meta-analysis was to establish the effects of health insurance on the utilisation of allied health services by people with chronic disease. Medline (Ovid Medline 1948 to Present with Daily Update), EMBASE (1980 to 1 April 2011), CINAHL, PsychINFO and the Cochrane Central Register of Controlled Trials were searched to 12 April 2011 inclusive. Studies were eligible for inclusion if they were published in English, randomised controlled trials, quasi-experimental trials, quantitative observational studies and included people with one or more chronic diseases using allied health services and health insurance. A full-text review was performed independently by two reviewers. Meta-analyses were conducted. One hundred and fifty-eight citations were retrieved and seven articles were included in the meta-analyses. The pooled odds ratio (95% CI) of having insurance (versus no insurance) on the utilisation of allied health services among people with chronic disease was 1.33 (1.16-1.52; P<0.001). There was a significant effect of insurance on the utilisation of non-physiotherapy services, pooled odds ratio (95% CI) 4.80 (1.46-15.79; P=0.01) but having insurance compared with insurance of a lesser coverage was not significantly associated with an increase in physiotherapy utilisation, pooled odds ratio (95% CI) 1.53 (0.81-2.91; P=0.19). The presence of co-morbidity or functional limitation and higher levels of education increased utilisation whereas gender, race, marital status and income had a limited and variable effect, according to the study population. The review was limited by the considerable heterogeneity in the research questions being asked, sample sizes, study methodology (including allied health service), insurance type and dependent variables analysed. The presence of health insurance was generally associated with increased utilisation of allied health services; however, this varied depending on the population, provider type and insurance product.

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The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 1 2%
Unknown 64 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 15%
Student > Bachelor 9 14%
Student > Ph. D. Student 7 11%
Researcher 6 9%
Other 5 8%
Other 15 23%
Unknown 13 20%
Readers by discipline Count As %
Medicine and Dentistry 17 26%
Nursing and Health Professions 14 22%
Computer Science 4 6%
Social Sciences 4 6%
Economics, Econometrics and Finance 3 5%
Other 10 15%
Unknown 13 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 May 2015.
All research outputs
#14,599,900
of 25,373,627 outputs
Outputs from Australian Journal of Primary Health
#344
of 627 outputs
Outputs of similar age
#114,354
of 219,840 outputs
Outputs of similar age from Australian Journal of Primary Health
#11
of 19 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 627 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one is in the 43rd percentile – i.e., 43% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 219,840 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.