Presentation Authors: Mohammed Said*, Atlanta, GA, Frances Kim, Atlanta , GA, Michelle Sheng, Atlanta, GA, R Craig Sineath, Atlanta , GA, Akanksha Mehta, Atlanta, GA
Introduction: Men are 2.5 times less likely than women to seek medical care. We investigated various independent demographic and socio-economic variables that could influence healthcare-seeking behaviors of young men in the U.S. at a population level.
Methods: We abstracted data on age, race/ethnicity, marital status, education level, employment status, income level, insurance status, and family size for 18-44 year-old respondents of the 2013-2015 National Survey of Family Growth (NSFG) Male Respondent Survey, and assessed the frequency with which the respondents accessed preventative, diagnostic, or curative care during the 12-month period preceding survey participation. Weighted logistic regression models were used to determine the association between the covariates of interest, and the use of health services. Estimates were based on sampling weights designed to produce unbiased estimates for the U.S. population, and significance was set at p < 0.05. SAS v9.4 was used for all statistical analyses.
Results: Of the 3,882 respondents who completed the survey, 2,815 (73%) reported a reason to seek medical care, and 2,614 (67%) were successfully able to do so. The majority of these men (74%) visited a preventive care facility, while 23% sought emergency/urgent care. Among men who did not seek medical care, the most common reason was â€œdid not need to see a doctorâ€ (84%), followed by â€œcould not afford to pay for a visitâ€ (9%). 33% of the overall cohort reported an interruption in insurance coverage in the preceding 12 months. In univariate models, race/ethnicity, education, employment status, income, and insurance status were significant predictors of use of healthcare services. In multivariate models, race/ethnicity and insurance status remained the only significant predictors of use of healthcare services. Black (OR 0.5, 95% CI 0.27-0.93) and Hispanic (OR 0.47, 95% CI 0.28-0.76) men were less likely to utilize healthcare services, compared to Caucasian men (p < 0.01). Uninsured respondents (OR 0.15, 95% CI 0.09-0.25) and Medicaid participants (OR 0.74, 95% CI 0.36-1.51) were less likely to utilize healthcare services, compared to those covered by private health insurance (p < 0.01).
Conclusions: In this study, race/ethnicity and insurance status emerged as significant barriers to the use of healthcare services among men who identified healthcare needs. Healthcare providers should be mindful of these factors in order to maximize the clinical value of each health care visit for affected patients.
Source of Funding: AM was support by a research grant from the American Society for Reproductive Medicine.