Zahnd Whitney E, Hung Peiyin, Crouch Elizabeth L, Ranganathan Radhika, Eberth Jan M
Department of Health Management and Policy, College of Public Health, University of Iowa, Iowa City, Iowa, USA.
Rural and Minority Health Research Center, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina, USA.
J Rural Health. 2025 Jan;41(1):e12855. doi: 10.1111/jrh.12855. Epub 2024 Jun 14.
Nonmetropolitan populations face frequent health care access barriers compared to their metropolitan counterparts, but differences in the number of these barriers across groups are not known. Our objective was to examine the differences in health care access barriers across metropolitan, micropolitan, and noncore populations.
We used Behavioral Risk Factor Surveillance System data from the optional "Health Care Access" module to perform a cross-sectional analysis examining access barriers across levels of rurality using bivariate analyses and Poisson models. Access barriers were operationalized as a count ranging from 0 to 5, reflective of the number of financial barriers and nonfinancial barriers.
Micropolitan and noncore respondents had lower educational attainment, were older, and were less racially/ethnically diverse than metropolitan respondents. They also reported more barriers, including lacking health insurance, medical debt, and foregoing care or medication due to cost. These barriers were most pronounced in non-Hispanic Black, Hispanic, and American Indian/Alaska Native nonmetropolitan populations, compared to their White counterparts. In adjusted analysis, micropolitan respondents reported more barriers compared to metropolitan (prevalence rate ratio = 1.06; 95% confidence interval: 1.02-1.10) as did women, racial/ethnic minority populations, and those with less education.
Micropolitan populations experience more barriers to health care, and nonmetropolitan respondents report more cost-related barriers than their metropolitan counterparts, raising concerns on health care disparities and financial burdens for these underserved populations. This underscores the need to mitigate these barriers, particularly among those in micropolitan areas and minorized populations.
与大城市地区的人群相比,非大城市地区的人群在获得医疗保健方面经常面临障碍,但不同群体在这些障碍数量上的差异尚不清楚。我们的目标是研究大城市、微型城市和非核心地区人群在获得医疗保健方面的障碍差异。
我们使用了行为风险因素监测系统数据中可选的“医疗保健获取”模块,通过双变量分析和泊松模型进行横断面分析,研究不同农村程度人群的获取障碍。获取障碍被量化为一个从0到5的计数,反映财务障碍和非财务障碍的数量。
微型城市和非核心地区的受访者教育程度较低、年龄较大,且种族/族裔多样性低于大城市地区的受访者。他们还报告了更多的障碍,包括缺乏医疗保险、医疗债务以及因费用而放弃治疗或药物。与白人相比,这些障碍在非西班牙裔黑人、西班牙裔以及美国印第安/阿拉斯加原住民非大城市地区人群中最为明显。在调整分析中,微型城市地区的受访者比大城市地区的受访者报告了更多障碍(患病率比=1.06;95%置信区间:1.02-1.10),女性、种族/族裔少数群体以及教育程度较低的人群也是如此。
微型城市地区的人群在获得医疗保健方面面临更多障碍,且非大城市地区的受访者比大城市地区的受访者报告了更多与费用相关的障碍,这引发了对这些服务不足人群的医疗保健差距和经济负担的担忧。这凸显了减轻这些障碍的必要性,特别是在微型城市地区的人群和少数群体中。