Clinic-based social needs screening has been associated with increased access to social services and improved health outcomes. Using a pragmatic study design in an urban pediatric practice, we used logistic regression to identify factors associated with successful social service uptake. From December 2017 to November 2018, 4948 households were screened for social needs, and 20% self-reported at least one. Of the 287 households with unmet needs who were referred and interested in further assistance, 43% reported successful social service uptake. Greater than 4 outreach encounters (adjusted odds ratio = 1.92; 95% confidence interval = 1.06-3.49) and follow-up time >30 days (adjusted odds ratio = 0.43; 95% confidence interval = 0.25-0.73) were significantly associated with successful referrals. These findings have implementation implications for programs aiming to address social needs in practice. Less than half of households reported successful referrals, which suggests the need for additional research and an opportunity for further program optimization.

Purpose: Social and economic factors have been shown to affect health outcomes. In particular, social determinants of health (SDH) are linked to poor health outcomes in children. Research and some professional academies support routine social needs screening during primary care visits. Translating this recommendation into practice remains challenging due to the resources required and dearth of evidence-based research to guide health center level implementation. We describe our experience implementing a novel social needs screening program at an academic pediatric clinic. Methods: The Community Linkage to Care (CLC) pilot program integrates social needs screening and referral support using community health workers (CHWs) as part of routine primary care visits. Our multidisciplinary team performed process mapping, developed workflows, and led ongoing performance improvement activities. We established key elements of the CLC program through an iterative process We conducted social needs screens at 65% of eligible well-child visits from May 2017 to April 2018; 19.7% of screens had one or more positive responses. Childcare (48.8%), housing quality and/or availability (39.9%), and food insecurity (22.8%) were the most frequently reported needs. On average, 76% of providers had their patients screened on more than half of eligible well-child visits. Discussion: Our experience suggests that screening for social needs at well-child visits is feasible as part of routine primary care. We attribute progress to leveraging resources, obtaining provider buy-in, and defining program components to sustain activities.

Introduction: Health systems are increasingly interested in addressing the social determinants of health via social risk screening. The objective of this study is to understand the variability in the number and types of social risks overall and in population subgroups among primary care patients routinely screened in a large urban health system. Methods: Between April and December 2018, a total of 24,633 primary care patients completed a 10-item screener across 19 ambulatory sites within a health system in the Bronx, NY. The prevalence of any social risk and specific social risks was estimated overall and for population subgroups. Wald tests were used to determine statistically significant differences by subgroup. Data were analyzed in winter/spring 2019. Results: Twenty percent of patients presented with at least 1 social risk. The most frequently reported risks included housing quality (6.5%) and food insecurity (6.1%). Middle-aged (30-59 years) respondents (24.7%, 95% CI=23.6%, 25.7%) compared with those aged 18-29 years (17.7%, 95% CI=16.4%, 19.2%, p<0.001), and Medicaid patients (24.8%, 95% CI=24.0%, 25.5%) compared with commercially insured patients (11.8%, 95% CI=11.1%, 12.5%, p<0.001), were more likely to report social risks. The strongest predictor of housing quality risk was residing in public housing (15.1%, 95% CI=13.8%, 16.6%) compared with those not in public housing (5.6%, 95% CI=5.3%, 5.9%, p<0.001). Housing quality was the most frequently reported risk for children (aged <18 years) and older adults (aged ≥70 years), whereas, for middle-aged respondents (30-69 years), it was food insecurity. Conclusions: There are important differences in the prevalence of overall and individual social risks by subgroup. These findings should be considered to inform clinical care and social risk screening and interventions.

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Objectives. To characterize the association between social needs prevalence and no-show proportion and variation in these associations among specific social needs. Methods. In this study, we used results from a 10-item social needs screener conducted across 19 primary care practices in a large urban health system in Bronx County, New York, between April 2018 and July 2019. We estimated the association between unmet needs and 2-year history of missed appointments from 41 637 patients by using negative binomial regression models. Results. The overall no-show appointment proportion was 26.6%. Adjusted models suggest that patients with 1 or more social needs had a significantly higher no-show proportion (31.5%) than those without any social needs (26.3%), representing an 19.8% increase (P < .001). We observed a positive trend (P < .001) between the number of reported social needs and the no-show proportion—26.3% for those with no needs, 30.0% for 1 need, 32.1% for 2 needs, and 33.8% for 3 or more needs. The strongest association was for those with health care transportation need as compared with those without (36.0% vs 26.9%). Conclusions. We found unmet social needs to have a significant association with missed primary care appointments with potential implications on cost, quality, and access for health systems.

With a national maternal mortality rate of 401 per 100,000 live births, it is clear that becoming a mother in Togo carries significant risk. In order to inform the scale-up of maternal health services, this qualitative baseline evaluation explored barriers to maternal and reproductive health in the Kozah district of northern Togo through semi-structured interviews with 21 community stakeholders and focus group discussions with four groups of six mothers. Inter-related factors including financial means, distance from health posts, gender roles, cultural beliefs, and patient-provider relations all influence women's care-seeking behavior. Lack of financial means renders the cost of crucial maternal health services prohibitive, and husbands' resistance to family planning and healthcare financing compounds the challenges women face meeting essential maternal health needs. Our findings suggest that waiving user fees, providing facility-based delivery free of cost, improving transportation options, and fostering trust in and access to health centers could significantly improve maternal health in the Kozah district.

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Introduction/Objectives: Uncontrolled diabetes can lead to major health complications, and significantly contributes to diabetes-related morbidity, mortality, and healthcare costs. Few studies have examined the relationship between unmet social needs and diabetes control among predominantly Black and Hispanic patient populations. Methods: In a large urban hospital system in the Bronx, NY, 5846 unique patients with diabetes seen at a primary care visit between April 2018 and December 2019 completed a social needs screener. Measures included diabetes control (categorized as Hemoglobin (Hb) A1c <9.0 as controlled and Hb A1C ≥9.0 as uncontrolled), social needs (10-item screen), and demographic covariates, including age, sex, race/ethnicity, insurance status, percentage of block-group poverty, patient’s preferred language, and the Elixhauser Comorbidity Index. Results: Twenty-two percent (22%) of the patient sample had at least 1 unmet social need, and the most prevalent unmet social needs were housing issues (including housing quality and insecurity), food insecurity, and lack of healthcare transportation. Logistic regression analysis showed a significant relationship between social needs and uncontrolled diabetes, with more social needs indicating a greater likelihood of uncontrolled diabetes (Adjusted Odds Ratio (AOR) for ≥3 needs: 1.59, 95% CI: 1.26, 2.00). Of the patients with most frequently occurring unmet social needs, lack of healthcare transportation (AOR: 1.54, 95% CI: 1.22, 1.95) and food insecurity (AOR: 1.50, 95% CI: 1.19, 1.89) had the greatest likelihood of having uncontrolled diabetes, after adjusting for covariates. Conclusion: Unmet social needs appear to be linked to a greater likelihood of uncontrolled diabetes. Implications for healthcare systems to screen and address social needs for patients with diabetes are discussed.