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Abstract Introduction: Addressing social determinants of health (SDOH) is fundamental to improving health outcomes. At a student-run free clinic, we developed a screening process to understand the SDOH needs and resource utilization of Milwaukee’s uninsured population. Methods: In this cross-sectional study, we screened adult patients without health insurance (N = 238) for nine traditional SDOH needs as well as their access to dental and mental health care between October 2021 and October 2022. Patients were surveyed at intervals greater than or equal to 30 days. We assessed correlations between SDOH needs and trends in patient-reported resource usefulness. Results: Access to dental care (64.7%) and health insurance (51.3%) were the most frequently endorsed needs. We found significant correlations (P ≤ 0.05) between various SDOH needs. Notably, mental health access needs significantly correlated with dental (r = 0.41; 95% CI = 0.19, 0.63), medications (r = 0.51; 95% CI = 0.30, 0.72), utilities (r = 0.39; 95% CI = 0.17, 0.61), and food insecurity (r = 0.42; 95% CI = 0.19, 0.64). Food-housing (r = 0.55; 95% CI = 0.32, 0.78), housing-medications (r = 0.58; 95% CI = 0.35, 0.81), and medications-food (r = 0.53; 95% CI = 0.32, 0.74) were significantly correlated with each other. Longitudinal assessment of patient-reported usefulness informed changes in the resources offered. Conclusions: Understanding prominent SDOH needs can inform resource offerings and interventions, addressing root causes that burden under-resourced patients. In this study, patient-reported data about resource usefulness prompted the curation of new resources and volunteer roles. This proof-of-concept study shows how longitudinally tracking SDOH needs at low-resource clinics can inform psychosocial resources.

OBJECTIVES/GOALS: At the Saturday Clinic for the Uninsured (SCU), a Milwaukee student-run free clinic affiliated with the Medical College of Wisconsin, we screened patients for food insecurity and evaluated associations of food security status with nine separate social determinants of health (SDOH) needs and eight chronic medical conditions influenced by diet. METHODS/STUDY POPULATION: This cross-sectional study took place from October 2021-April 2022 at SCU, which only sees uninsured patients. We added the USDA six-item food insecurity form to the clinic’s larger SDOH survey, which screens for medication financing, housing stability, energy assistance, legal issues, educational/work opportunities, substance use, mental health, health insurance options, and dental care needs. We then completed chart review for demographic, diagnostic, lab, and medication information pertaining to obesity, hypertension, diabetes, dyslipidemia, chronic kidney disease (CKD), gastroesophageal reflux disease (GERD), anxiety, and depression. We conducted descriptive statistics on demographics and measured associations using both Kendall’s tau correlation and odds ratios from binomial regression. RESULTS/ANTICIPATED RESULTS: Of the 157 patients seen during this time, most were middle-aged (mean age = 49.4 years ± 14.5 years), female (n = 98, 62.4%), Black or African American (n = 66, 42%) and resided in Milwaukee County (n = 144, 92.9%). 22 (16%) screened as food insecure and had greater odds and positively correlated with needing resources for medication financing (OR = 7.28, I2 = 0.33), housing (OR = 129.99, I2 = 0.28), energy assistance (OR = 3.94,I2= 0.2), mental health (OR = 4.54, I2= 0.28), insurance (OR = 2.86, I2= 0.18), and dental care (OR=3.65,I2= 0.28), but not legal concerns, education/work opportunities, or substance use. Food insecure patients had higher odds and positively correlated with having anxiety (OR = 3.26,I2= 0.23) or depression (OR = 2.88,I2= 0.19), but not obesity, hypertension, diabetes, dyslipidemia, CKD, or GERD. DISCUSSION/SIGNIFICANCE: Patients without health insurance and experiencing food insecurity were more likely to have multiple SDOH needs and mental health diagnoses. Risk factors separate from food security status may explain associations with other chronic medical conditions, including uninsured status, socioeconomic status, eating behaviors, or food accessibility.