McAlpine, Donna

Background: Although the Affordable Care Act has been successful in expanding Medicaid to >17 million people, insurance alone may not translate into access to health care. Even among the insured, substantial barriers to accessing services inhibit health care utilization. Objectives: We examined the effect of selected barriers to health care access and the magnitude of those barriers on health care utilization. Research Design: Data come from a 2008 survey of adult enrollees in Minnesota’s public health care programs. We used multivariate logistic regression to estimate the effects of perceived patient, provider, and system-level barriers on past year delayed, foregone, and lack of preventive care. Subjects: A total of 2194 adults enrolled in Minnesota Health Care Programs who were mostly female (66%), high school graduates (76%), unemployed (62%), and living in metro areas (67%) were included in the analysis. Results: Reporting problems across all barriers increased the odds of delayed care from 2 times for provider-related barriers (OR=2.0; 95% CI, 1.2–3.3) to >6 times for access barriers (OR=6.2; 95% CI, 3.8–10.2) and foregone care from 2.6 times for family/work barriers (OR=2.6; 95% CI, 1.3–5.1) to >7 times for access barriers (OR=7.1; 95% CI, 3.9–13.1). Perceived discrimination was the only barrier consistently associated with all 3 utilization outcomes. Conclusions: Multiple types of barriers are associated with delayed and foregone care. System-level barriers and discrimination have the greatest effect on health care seeking behavior.

ObjectiveTo assess nonresponse bias in a mixed‐mode general population health survey.Data SourcesSecondary analysis of linked survey sample frame and administrative data, including demographic and health‐related information.Study DesignThe survey was administered by mail with telephone follow‐up to nonrespondents after two mailings. To determine whether an additional mail contact or mode switch reduced nonresponse bias, we compared all respondents (N = 3,437) to respondents from each mailing and telephone respondents to the sample frame (N = 6,716).Principal FindingsSwitching modes did not minimize the under‐representation of younger people, nonwhites, those with congestive heart failure, high users of office‐based services, and low‐utilizers of the emergency room but did reduce the over‐representation of older adults.ConclusionsMultiple contact and mixed‐mode surveys may increase response rates, but they do not necessarily reduce nonresponse bias.