Abstract
OBJECTIVE: We aimed to characterize the prevalence and co-occurrence of social determinants of health among pregnant individuals during prenatal care in a single rural-based health system in the United States. CONTEXT AND CASE: This community case study describes the implementation and findings of universal screening for social determinants of health among all individuals initiating prenatal care at four OB-GYN clinics in a single health system between January 2022 and December 2023. Antenatal sites spanned both small urban and rural settings, with a subset of deliveries occurring at a rural, tertiary care medical center. Social determinants, including financial stress, food insecurity, housing instability, transportation issues, social isolation, and health literacy, were assessed using a screening tool embedded in the electronic health record (EHR). We used descriptive statistics and UpSet Plots to describe these determinants and their co-occurrence patterns in relation to patient characteristics. FINDINGS: Among 2,222 pregnant individuals who completed screening, 16.7% reported at least one social determinant, and 7.8% reported two or more. Among patients who screened positive for only one determinant, the most common concern was social isolation (38.9%), followed by financial stress (27.8%). Among those with two or more determinants, the most common items were financial stress (75.1%), food insecurity (67.6%), and housing instability (56.1%). Combinations of food insecurity, housing instability, and financial stress affected nearly one in 10 patients. CONCLUSION: Social isolation emerged as a significant concern for non-urban pregnant women who had no other reported social determinants. However, determinants also co-occurred, particularly housing and food insecurity with financial stress. This descriptive analysis provides foundational data for future research examining associations between intersecting social determinants and maternal-infant health outcomes. Universal screening is critically important for identifying patients with high social risk.