Literature DB >> 25458976

Disability and unmet health care needs in Canada: a longitudinal analysis.

Rebecca Casey1.   

Abstract

BACKGROUND: The rate of unmet health care needs is quite high for the general population in Canada; however, the rate is even higher for the subset of people with disabilities. To date, there is a gap in the research utilizing longitudinal data to measure the unmet health care needs of Canadians. OBJECTIVE/HYPOTHESIS: The purpose of this research is to compare the rate of unmet health care needs of people with disabilities to people without disabilities over 15 years.
METHODS: Longitudinal data from waves 1 to 8 (1994/95 to 2008/09) of the National Population Health Survey in Canada (NPHS) were analyzed using a growth curve modeling approach.
RESULTS: Respondents with disabilities have two to three times the rate of unmet health care needs compared to respondents without disabilities. Unmet health care needs increase over time, and at a faster rate for all disability types except work-related disability. Personal reasons for unmet health care needs decrease over time and there is no significant difference between respondents with disabilities and respondents without disabilities. The opposite was found for structural reasons, which increase over time, and, people with disabilities have higher rates of structural-based unmet health care needs (45% higher) at baseline.
CONCLUSIONS: The incidence of disability in the population increases over time while at the same time the rate of unmet health care needs are higher for people with disabilities. The combination of these factors suggests that, in the absence of intervention, Canadians can expect more unmet health care needs in the future.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Disability; Injured workers; Longitudinal analysis; Unmet health care needs

Mesh:

Year:  2014        PMID: 25458976     DOI: 10.1016/j.dhjo.2014.09.010

Source DB:  PubMed          Journal:  Disabil Health J        ISSN: 1876-7583            Impact factor:   2.554


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