Understanding the Role of a Technology and EMR-based Social Determinants of Health Screening Tool and Community-based Resource Connections in Health Care Resource Utilization.

BACKGROUND: Health systems are increasingly investing in social determinants of health (SDoH), but there is limited research on how such efforts impact health care resource use. This study presents pilot work on an SDoH screening and referral platform recently implemented in South Carolina's largest private nonprofit health system. OBJECTIVES: To assess the feasibility and sustainability of SDoH screening and SDoH-related referrals in a large health system and examine how they affect health resource use. RESEARCH DESIGN: Observational study using electronic medical records and SDoH screening data from June 1, 2019 to December 31, 2020. SUBJECTS: Patients (18 y+) engaged in community health, inpatient case management, or ambulatory care and condition management programs. MEASURES: We describe the use of SDoH screening by providers (community health workers, nurse case managers, and social workers) and SDoH referral volumes among patients. We use multivariate analyses to predict changes in emergency department visits, inpatient admission s (length of stay and volume), and primary care visits from referral volume, SDoH screening question responses, and patient characteristics (eg, comorbidities). RESULTS: Of 2687 patients, 662 (24.6%) screened positive for 1 or more SDoH domains. SDoH screening performance remained consistent among providers over time. Six hundred fifty-eight (24.5%) patients received SDoH referrals. Patients receiving an increasing volume of referrals had decreasing primary care visits but their comorbidities moderated this effect. CONCLUSIONS: The study provides initial descriptive information on SDoH needs, implementation of referrals and resource use, guiding SDoH screening implementation in population health, and care management programs.

Emergency department use and geospatial variation in social determinants of health: a pilot study from South Carolina.

BACKGROUND: Health systems are increasingly addressing patients' social determinants of health (SDoH)-related needs and investigating their effects on health resource use. SDoH needs vary geographically; however, little is known about how this geographic variation in SDoH needs impacts the relationship between SDoH needs and health resource use. METHODS: This study uses data from a SDoH survey administered to a pilot patient population in a single health system and the electronic medical records of the surveyed patients to determine if the impact of SDoH needs on emergency department use varies geospatially at the US Census block group level. A Bayesian zero-inflated negative binomial model was used to determine if emergency department visits after SDoH screening varied across block groups. Additionally, the relationships between the number of emergency department visits and the response to each SDoH screening question was assessed using Bayesian negative binomial hurdle models with spatially varying coefficients following a conditional autoregressive (CAR) model at the census block group level. RESULTS: Statistically important differences in emergency department visits after screening were found between block groups. Statistically important spatial variation was found in the association between patient responses to the questions concerning unhealthy home environments (e.g. mold, bugs/rodents, not enough air conditioning/heat) or domestic violence/abuse and the mean number of emergency department visits after the screen. CONCLUSIONS: Notable spatial variation was found in the relationships between screening positive for unhealthy home environments or domestic violence/abuse and emergency department use. Despite the limitation of a relatively small sample size, sensitivity analyses suggest spatially varying relationships between other SDoH-related needs and emergency department use.

Patient and Care Team Perspectives on Social Determinants of Health Screening in Primary Care: A Qualitative Study.

Importance: Health systems in the US are increasingly screening for social determinants of health (SDOH). However, guidance incorporating stakeholder feedback is limited. Objective: To examine patient and care team experiences in early implementation of SDOH screening in primary care. Design, Setting, and Participants: This qualitative study included cross-sectional analysis of SDOH screenings during primary care visits from February 22 to May 10, 2022, primary care team member interviews from July 6, 2022, to March 8, 2023, and patient stakeholder engagement on June 30, 2022. The setting was a large southeastern US health care system. Eligible patients were aged 18 years or older with completed visits in primary care. Exposure: Screening for SDOH in primary care. Main outcomes and Measures: Multivariable logistic regression evaluated patient (eg, age, race and ethnicity) and care team characteristics (eg, practice type), and screening completeness. Interviews contextualized the quantitative analysis. Results: There were 78 928 visits in practices conducting any SDOH screening. The population with visits had a mean (SD) age of 57.6 (18.1) years; 48 086 (60.9%) were female, 12 569 (15.9%) Black, 60 578 (76.8%) White, and 3088 (3.9%) Hispanic. A total of 54 611 visits (69.2%) were with a doctor of medicine and 13 035 (16.5%) with a nurse practitioner. Most had no SDOH questions answered (75 298 [95.4%]) followed by all questions (2976 [3.77%]). Logistic regression analysis found that clinician type, patient race, and primary payer were associated with screening likelihood: for clinician type, nurse practitioner (odds ratio [OR], 0.13; 95% CI, 0.03-0.62; P = .01) and physician assistant (OR, 3.11; 95% CI, 1.19-8.10; P = .02); for patient race, Asian (OR, 1.69; 95% CI, 1.25-2.28; P = .001); Black (OR, 1.49; 95% CI, 1.10-2.01; P = .009); or 2 or more races (OR, 1.48; 95% CI, 1.12-1.94; P = .006); and for primary payer, Medicaid (OR, 0.62; 95% CI, 0.48-0.80; P < .001); managed care (OR, 1.17; 95% CI, 1.07-1.29; P = .001); uninsured or with Access Health (OR, 0.26; 95% CI, 0.10-0.67; P = .005), and Tricare (OR, 0.71; 95% CI, 0.55-0.92; P = .01). Interview themes included barriers (patient hesitancy, time and resources for screening and referrals, and number of questions/content overlap) and facilitators (communication, practice champions, and support for patient needs). Conclusions and Relevance: This qualitative study presents potential guidance regarding factors that could improve SDOH screening within busy clinical workflows.