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Disparities in health care access for women with disabilities in the United States from the 2006 National Health Interview Survey
- Source :
- Disability and Health Journal. 1:79-88
- Publication Year :
- 2008
- Publisher :
- Elsevier BV, 2008.
-
Abstract
- Background The objective of this study was to determine the relationship between disability, gender and access to health care, especially for women with disabilities compared to women without disabilities and men with disabilities. Methods Data from the 2006 NHIS were examined using chi square, linear regression, and logistic analysis to determine the relationship between health care access, severity of disability, and gender. Responses regarding functional limitations from adults aged 18 and over or their proxies were used to determine placement for analysis. The dependent variable was access to health care. The independent variables were disability and gender. Results Women with disabilities had less access to health care than women without disabilities and men with disabilities. Disability and gender were predictive of lack of access to health care. Those who are disabled are 2.26 to 3.78 times more likely to not to have access to health care, and women were 1.26 times more likely not to have access to health care. Conclusion Health care professionals should advocate for more parity in health care access, removal of barriers and policies to provide needed funding for health care.
- Subjects :
- Adult
Male
medicine.medical_specialty
Activities of daily living
Adolescent
MEDLINE
Health Services Accessibility
Disability Evaluation
Young Adult
Sex Factors
Surveys and Questionnaires
Activities of Daily Living
Health care
Confidence Intervals
Odds Ratio
Humans
Medicine
National Health Interview Survey
Disabled Persons
Young adult
Unlicensed assistive personnel
Health policy
Aged
Chi-Square Distribution
business.industry
Public Health, Environmental and Occupational Health
Health Status Disparities
General Medicine
Odds ratio
Middle Aged
Health Surveys
United States
Logistic Models
Family medicine
Linear Models
Women's Health
Female
business
Subjects
Details
- ISSN :
- 19366574
- Volume :
- 1
- Database :
- OpenAIRE
- Journal :
- Disability and Health Journal
- Accession number :
- edsair.doi.dedup.....ce950b6e24be356e11e37d781799855e