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Development of a measure of health care affordability applicable in a publicly funded universal health care system

Overview of attention for article published in Canadian Journal of Public Health, January 2015
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Title
Development of a measure of health care affordability applicable in a publicly funded universal health care system
Published in
Canadian Journal of Public Health, January 2015
DOI 10.17269/cjph.106.4562
Pubmed ID
Authors

Jeannie L. Haggerty, Jean-Frédéric Levesque

Abstract

Direct measures of health care affordability from the user perspective are needed to monitor equitable access to publicly funded health care in Canada. The objective of our study was to develop a survey-based measure of healthcare affordability applicable to the Canadian context. We developed items after focus group exploration of access and cost barriers in the healthcare trajectory. We administered an initial instrument by telephone to a randomly-selected sample of 750 respondents in metropolitan, rural, and remote settings in Quebec. After analysis we developed a new, self-administered version eliciting the frequency of problem access due to five affordability dimensions. This version was mailed to a subset of participants. We conducted exploratory and confirmatory factor analysis. We used ordinal logistic regression modelling to examine how individual items and the subscale score predicted indicators of difficult access. We looked for effect modification by income categories. The five items load on a single construct with good internal consistency (α = 0.77). The overall score, 0 to 5, reflects the sum of problems with healthcare affordability due to direct and indirect costs. The item and subscale scores are sensitive to income status, with affordability problems more prevalent among low-income than high-income respondents. Each unit increase in the subscale score predicts increased likelihood of unmet needs (OR = 1.54), emergency room use (OR = 1.41), and health problem aggravation (OR = 1.80). This subscale reliably and validly measures cost barriers to medically necessary services in Canada, and can potentially be applied in other settings with publicly funded health systems. It can be used to monitor and compare healthcare equity.

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The data shown below were collected from the profile of 1 X user 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 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 2%
Unknown 65 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 15%
Researcher 9 14%
Student > Master 9 14%
Student > Bachelor 8 12%
Student > Doctoral Student 4 6%
Other 11 17%
Unknown 15 23%
Readers by discipline Count As %
Nursing and Health Professions 14 21%
Medicine and Dentistry 10 15%
Social Sciences 6 9%
Economics, Econometrics and Finance 3 5%
Psychology 2 3%
Other 10 15%
Unknown 21 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 22 August 2015.
All research outputs
#17,756,606
of 22,803,211 outputs
Outputs from Canadian Journal of Public Health
#963
of 1,154 outputs
Outputs of similar age
#241,838
of 353,075 outputs
Outputs of similar age from Canadian Journal of Public Health
#4
of 5 outputs
Altmetric has tracked 22,803,211 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,154 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.3. This one is in the 14th percentile – i.e., 14% 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 353,075 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one.