Nguyen Kevin H, Cole Megan B
Department of Health Law, Policy, and Management, Boston University School of Public Health, Boston, Massachusetts.
Department of Health Law, Policy, and Management, Boston University School of Public Health, Boston, Massachusetts.
Am J Prev Med. 2025 Jan;68(1):145-153. doi: 10.1016/j.amepre.2024.09.005. Epub 2024 Oct 11.
Social risk factors are associated with worse access to care. This study measured the prevalence of social risk factors among low-income adults, assessed the relationship between number of social risk factors and access to care, and examined heterogeneity by health insurance type.
Using 2022 Behavioral Risk Factor Surveillance Survey data from 39 states, the association between number of SRFs (0, 1, 2-3, 4, or more) and three access to care measures (having a personal doctor, having a routine checkup, and inability to see doctor because of cost) were measured using multivariable linear probability models. The analysis was stratified by health insurance coverage type (private, Medicare, Medicaid, or uninsured) to assess whether effects were differential. Analyses were conducted in 2024.
Among 90,208 low-income adults, 46.6% reported at least one SRF. Compared to people who reported no SRFs, those who reported four or more were more likely to report being unable to afford care (28.21 percentage points [PP], p<0.001) and less likely to have a personal doctor (-4.98 PP, p<0.001) or routine checkup in the last two years (-4.29 PP, p<0.001). The magnitude of disparity by number of SRFs in inability to afford care was larger among privately insured and uninsured people compared to those with Medicare or Medicaid coverage.
Higher levels of SRFs were associated with worse access to care among low-income adults. Policies that minimize cost-related barriers to care, coupled with care delivery reforms and social policies that address SRFs, may improve access to care.
社会风险因素与获得医疗服务的机会较差有关。本研究测量了低收入成年人中社会风险因素的患病率,评估了社会风险因素数量与获得医疗服务机会之间的关系,并按医疗保险类型检验了异质性。
使用来自39个州的2022年行为风险因素监测调查数据,采用多变量线性概率模型测量社会风险因素数量(0、1、2 - 3、4个或更多)与三种获得医疗服务的指标(有私人医生、进行常规体检以及因费用问题无法看医生)之间的关联。分析按医疗保险覆盖类型(私人保险、医疗保险、医疗补助或无保险)进行分层,以评估影响是否存在差异。分析于2024年进行。
在90,208名低收入成年人中,46.6%报告至少有一个社会风险因素。与报告没有社会风险因素的人相比,报告有四个或更多社会风险因素的人更有可能报告无力支付医疗费用(28.21个百分点[PP],p<0.001),在过去两年中拥有私人医生的可能性更低(-4.98个PP,p<0.001)或进行常规体检的可能性更低(-4.29个PP,p<0.001)。与有医疗保险或医疗补助覆盖的人相比,在无力支付医疗费用方面,社会风险因素数量导致的差距在有私人保险和无保险的人群中更大。
较高水平的社会风险因素与低收入成年人获得医疗服务的机会较差有关。将与费用相关的医疗障碍降至最低的政策,再加上解决社会风险因素的医疗服务提供改革和社会政策,可能会改善获得医疗服务的机会。