Perceived discrimination and use of preventive health services.
BACKGROUND
Little is known about the relation between perceptions of health care discrimination and use of health services.


OBJECTIVE
To determine the prevalence of perceived discrimination in health care, its association with use of preventive services, and the contribution of perceived discrimination to disparities in these services by race/ethnicity, gender, and insurance status.


METHODS
Cross-sectional study of 54,968 respondents to the 2001 California Health Interview Survey.


METHODS
Subjects were asked about experience with discrimination in receiving health care and use of 6 preventive health services, all within the previous 12 months.


METHODS
We used multivariate logistic regression with propensity-score methods to examine the adjusted relationship between perceived discrimination and receipt of preventive care.


RESULTS
Discrimination was reported by 4.7% of respondents, and among these respondents the most commonly reported reasons were related to type of insurance (27.6%), race or ethnicity (13.7%), and income (6.7%). In adjusted analyses, persons who reported discrimination were less likely to receive 4 preventive services (cholesterol testing for cardiovascular disease, hemoglobin A1c testing and eye exams for diabetes, and flu shots), but not 2 other services (aspirin for cardiovascular disease, prostate specific antigen testing). Adjusting for perceived discrimination did not significantly change the relative likelihood of receipt of preventive care by race/ethnicity, gender, and insurance status.


CONCLUSIONS
Persons who report discrimination may be less likely to receive some preventive health services. However, perceived discrimination is unlikely to account for a large portion of observed disparities in receipt of preventive care.
Trivedi
Amal N
AN
Division of General Medicine, Brigham and Women's Hospital, Boston, MA, USA.
Ayanian
John Z
JZ
D000328:Adult; D002140:California; D003430:Cross-Sectional Studies; D003695:Delivery of Health Care; D006801:Humans; D015999:Multivariate Analysis; D011287:Prejudice; D011315:Preventive Medicine