Perceived discrimination and reported delay of pharmacy prescriptions and medical tests
Adult
Male
Community Pharmacy Services
Hispanic or Latino
Drug Prescriptions
Health Services Accessibility
White People
3. Good health
Black or African American
Cohort Studies
Interviews as Topic
03 medical and health sciences
Cross-Sectional Studies
0302 clinical medicine
Socioeconomic Factors
Multivariate Analysis
North Carolina
Humans
Female
Prospective Studies
10. No inequality
Attitude to Health
Prejudice
DOI:
10.1007/s11606-005-0104-6
Publication Date:
2007-07-16T19:19:22Z
AUTHORS (7)
ABSTRACT
Access to health care varies according to a person's race and ethnicity. Delaying treatment is one measure of access with important health consequences.Determine whether perceptions of unfair treatment because of race or ethnicity are associated with reported treatment delays, controlling for economic constraints, self-reported health, depression, and demographics.Cross-sectional, observational study.A randomly selected community sample of 181 blacks, 148 Latinos, and 193 whites in Durham County, NC.A phone survey conducted in 2002 to assess discrimination, trust in medical care, quality of care, and access to care. Treatment delays were measured by whether or not a person reported delaying or forgoing filling a prescription and delaying or forgoing having a medical test/treatment in the past 12 months. Perceived discrimination was measured as unfair treatment in health care and as racism in local health care institutions.The odds of delaying filling prescriptions were significantly higher (odds ratio (OR)=2.02) for persons who perceived unfair treatment, whereas the odds of delaying tests or treatments were significantly higher (OR=2.42) for persons who thought racism was a problem in health care locally. People with self-reported depression and people who reported not working had greater odds of delaying both types of care.A prospective cohort study with both personal and macro measures of discrimination, as well as more refined measures of treatment delays, would help us better understand the relationship between perceived discrimination and treatment delays.
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