Complexities of Addressing Food Insecurity in an Urban Population

A Randomized Controlled Trial to Improve Unmet Social Needs and Clinical Outcomes Among Adults with Diabetes

BACKGROUND

Adults with type 1 or type 2 diabetes often face financial challenges and other unmet social needs to effective diabetes self-management.

OBJECTIVE

Whether a digital intervention focused on addressing socioeconomic determinants of health improves diabetes clinical outcomes more than usual care.

DESIGN

Randomized trial from 2019 to 2023.

PARTICIPANTS

A total of 600 adults with diabetes, HbA1c ≥ 7.5%, and self-reported unmet social needs or financial burden from a health system and randomized to the intervention or standard care.

INTERVENTION

CareAvenue is an automated, e-health intervention with eight videos that address unmet social needs contributing to poor outcomes.

MEASURES

Primary outcome was HbA1c, measured at baseline, and 6 and 12 months after randomization. Secondary outcomes included systolic blood pressure and reported met social needs, cost-related non-adherence (CRN), and financial burden. We examined main effects and variation in effects across predefined subgroups.

RESULTS

Seventy-eight percent of CareAvenue participants completed one or more modules of the website. At 12-month follow-up, there were no significant differences in HbA1c changes between CareAvenue and control group (p = 0.24). There were also no significant between-group differences in systolic blood pressure (p = 0.29), met social needs (p = 0.25), CRN (p = 0.18), and perceived financial burden (p = 0.31). In subgroup analyses, participants with household incomes 100-400% FPL (1.93 (SE = 0.76), p < 0.01), 201-400% FPL (1.30 (SE = 0.62), p < 0.04), and > 400% FPL (1.27 (SE = 0.64), p < 0.05) had significantly less A1c decreases compared to the control group.

CONCLUSIONS

On average, CareAvenue participants did not achieve better A1c lowering, met needs, CRN, or perceived financial burden compared to control participants. CareAvenue participants with higher incomes achieved significantly less A1c reductions than control. Further research is needed on social needs interventions that consider tailored approaches to population subgroups.

CLINICAL TRIALS REGISTRY

ClinicalTrials.gov ID NCT03950973, May 2019.

Food Insecurity Prevalence and Risk Factors at a Large Academic Medical Center in Michigan

Importance

Health care systems are increasingly adopting methods to screen for and integrate food insecurity and other social risk factors into electronic health records. However, there remain knowledge gaps regarding the cumulative burden of food insecurity in large clinical settings, which patients are most at risk, and the extent to which patients are interested in social assistance through their health care system.

Objective

To evaluate the 5-year prevalence and associated risk factors of food insecurity among adult primary care patients, and to examine factors associated with patients' interest in social assistance among those with food insecurity.

Design, Setting, and Participants

This cross-sectional analysis of a retrospective cohort study took place at a tertiary care academic medical center (encompassing 20 primary care clinics) in Michigan. Participants included adult patients who completed screening for social risk factors between August 1, 2017, and August 1, 2022. Data analysis was performed from November 2022 to June 2023.

Exposure

Food insecurity was assessed using the Hunger Vital Sign.

Main Outcomes and Measures

The primary outcome was patients' interest in social assistance, and associated factors were examined using multivariate logistic regression models, adjusting for patients' demographic and health characteristics.

Results

Over the 5-year period, 106 087 adult primary care patients (mean [SD] age, 52.9 [17.9] years; 61 343 women [57.8%]) completed the standardized social risk factors questionnaire and were included in the analysis. The overall prevalence of food insecurity was 4.2% (4498 patients), with monthly trends ranging from 1.5% (70 positive screens) in August 2018 to 5.0% (193 positive screens) in June 2022. Food insecurity was significantly higher among patients who were younger, female, non-Hispanic Black or Hispanic, unmarried or unpartnered, and with public health insurance. Food insecurity was significantly associated with a higher cumulative burden of social needs, including social isolation, medical care insecurity, medication nonadherence, housing instability, and lack of transportation. Only 20.6% of patients with food insecurity (927 patients) expressed interest in social assistance. Factors associated with interest in social assistance including being non-Hispanic Black, unmarried or unpartnered, a current smoker, and having a higher burden of other social needs.

Conclusions and Relevance

In this retrospective cohort study, the overall prevalence of food insecurity was 4.2%, of whom approximately 1 in 5 patients with food insecurity expressed interest in assistance. This study highlights ongoing challenges in ensuring all patients complete routine social determinants of health screening and gaps in patients' interest in assistance for food insecurity and other social needs through their health care system.

Enhancing Chronic-Disease Education through Integrated Medical and Social Care: Exploring the Beneficial Role of a Community Teaching Kitchen in Oregon

Teaching kitchens (TKs) are rapidly being utilized as models to integrate culinary education and chronic-disease education into healthcare settings. Our observational study details the structure and organizational processes (e.g., referral, services, medical and social care integration) of the Community TK at Providence Milwaukie Hospital in Portland, OR. We utilize electronic medical-record data from engaged TK participants (n = 3077) to evaluate between the association of engagement and clinical outcomes (e.g., HbA1c, blood pressure, weight and cholesterol). Mean baseline HbA1c of Highly Engaged TK patients with diabetes (n = 88) reduced from 9.8% to 8.6% at 6 months (p < 0.0001) and sustained significant reductions at 12, 18, 24, 30, and 36 months (p < 0.05). Highly Engaged patients with hypertension (n = 152) had significant, sustained reductions in blood pressure (p < 0.0001). Engaged patients in the same high-risk groups also had significant improvements in HbA1c and blood pressure. Both engagement subgroups had moderate improvements in weight change and cholesterol. This study shows promising associations of TK services that promote chronic-disease self-management with improved clinical outcomes among higher risk patients (e.g., high blood pressure, high HbA1c, high low-density lipoprotein) with different medical issues (e.g., diabetes, obesity) and social barriers (e.g., food insecurity).

Implementing a Social Needs Screening and Referral Program Among Veterans: Assessing Circumstances & Offering Resources for Needs (ACORN)

BACKGROUND

The Department of Veterans Affairs (VA) healthcare system routinely screens Veterans for food insecurity, housing instability, and intimate partner violence, but does not systematically screen for other health-related social needs (HRSNs).

OBJECTIVES

To (1) develop a process for systematically identifying and addressing Veterans' HRSNs, (2) determine reported prevalence of HRSNs, and (3) assess the acceptability of HRSN screening among Veterans.

DESIGN

"Assessing Circumstances and Offering Resources for Needs" (ACORN) is a Veteran-tailored HRSN screening and referral quality improvement initiative. Veterans were screened via electronic tablet for nine HRSNs (food, housing, utilities, transportation, legal needs, social isolation, interpersonal violence, employment, and education) and provided geographically tailored resource guides for identified needs. Two-week follow-up interviews with a purposive sample of Veterans explored screening experiences.

PARTICIPANTS

Convenience sample of Veterans presenting for primary care at a VA urban women's health clinic and suburban community-based outpatient clinic (October 2019-May 2020).

MAIN MEASURES

Primary outcomes included prevalence of HRSNs, Veteran-reported acceptability of screening, and use of resources guides. Data were analyzed using descriptive statistics, chi-square tests, and rapid qualitative analysis.

KEY RESULTS

Of 268 Veterans screened, 50% reported one or more HRSNs. Social isolation was endorsed most frequently (29%), followed by educational needs (19%), interpersonal violence (12%), housing instability (9%), and utility concerns (7%). One in five Veterans reported at least one form of material hardship. In follow-up interviews (n = 15), Veterans found screening acceptable and felt VA should continue screening. No Veterans interviewed had contacted recommended resources at two-week follow-up, although several planned to use resource guides in the future.

CONCLUSION

In a VA HRSN screening and referral program, Veterans frequently reported HRSNs, felt screening was important, and thought VA should continue to screen for these needs. Screening for HRSNs is a critical step towards connecting patients with services, identifying gaps in service delivery, and informing future resource allocation.

Economic burden, financial stress, and cost-related coping among people with uncontrolled diabetes in the U.S

Granular information on material deprivation including financial and economic well-being among people with diabetes can better inform policy, practice and interventions to support diabetes management. The purpose of this study was to describe in-depth the state of economic burden, financial stress, and coping among people with high A1c. Data came from the 2019-2021 baseline assessment in an ongoing U.S. trial that addresses social determinants of health among people with diabetes and high A1c who report at least one financial burden or cost-related non-adherence (CRN) (n = 600). Mean age of participants was 53 years. Planning behaviors were the most common financial well-being behavior, while savings was least frequently endorsed. Nearly a quarter of participants report spending more than $300 per month out-of-pocket to manage all of their health conditions. Participants reported spending the most out-of-pocket on medications (52%), special foods (40%), doctor's visits (27%), and blood glucose supplies (22%). Along with health insurance, these were also the most cited as sources of financial stress and where assistance. Seventy-two percent reported high levels of financial stress. Maladaptive coping was evident through CRN, and less than half engaged in adaptive coping such as talking to a doctor about cost or using a resource to address their needs. Economic burden, financial stress, and cost-related coping are highly relevant constructs among people with diabetes and high A1cs. More evidence-generation is needed for diabetes self-management programs to address sources of financial stress, facilitate behaviors to enhance financial well-being, and address unmet social needs to alleviate economic burdens.

Cross-Sector Intervention Strategies to Target Childhood Food Insecurity in North Carolina

BACKGROUND

Childhood food insecurity increased considerably during the COVID-19 pandemic and is associated with compromised health. Health care systems are increasingly prioritizing food insecurity interventions to improve health, but it is unclear how health systems collaborate with other sectors that are addressing food insecurity. In this study, we aimed to evaluate existing collaborations and explore opportunities for further cross-sector engagement.

METHODS

From December 2020 to March 2021, we conducted semi-structured interviews (N = 34) with informants involved in increasing child food access in North Carolina. Our informants represented different sectors, including community (e.g., food pantry), education (e.g., school lunch program), and government (e.g., Supplemental Nutrition Assistance Program). Rapid qualitative analysis was used to interpret the results and identify themes.

RESULTS

Informants rarely mentioned the health care sector as a source of referrals or as a collaborator. Barriers limiting access to food insecurity programs were exacerbated by the COVID-19 pandemic, including lack of transportation, stigma deterring use, limited food choice, and burdensome enrollment processes. Stakeholders recommended mitigating barriers through the expansion of food delivery, colocalization of assistance programs in schools and health care settings, increased food choice, and supporting cross-program enrollment mechanisms.

LIMITATIONS

The majority of the stakeholders represented programs from five counties in central North Carolina, with only a few representing statewide initiatives.

CONCLUSIONS

The COVID-19 pandemic both highlighted the fragmented system of food insecurity organizations and accelerated development of cross-sector collaborations to reduce access barriers. Health care systems are siloed from school and community efforts but have the opportunity to leverage ongoing innovative policy initiatives to construct novel cross-sector models. Such models can better link food insecurity screening with community-based solutions to address family-level food access barriers.

Health literacy and eating disorder pathology in women with food insecurity: A preliminary cross-sectional study

Food insecurity (FI), or limited consistent access to food, is associated with eating disorder (ED) pathology; however, the underlying mechanisms of this relationship remain unclear. Health literacy, or the ability to comprehend and apply health-related information to decision making, is linked to FI and has implications for outcomes across a broad range of diagnoses. The purpose of this study was to examine associations between health literacy and ED symptoms in a sample of 99 women with FI. Linear regression tested cross-sectional associations between scores on The Newest Vital Sign (NVS), a measure of health literacy, and scores on the Eating Pathology Symptom Inventory (EPSI) and behaviors reported in the Eating Disorder Diagnostic Interview (EDDI). Logistic regression examined the likelihood of ED diagnosis in relation to NVS score. The sample mean (SD) age was 40.3 (14.3) years, and participants self-identified as 54.5 % White, 30.3 % Black, and 13.8 % other. Respondents self-reported 13.1 % marginal, 28.3 % low, and 58.6 % very low food security. Mean NVS score was 4.45, and significantly higher for White compared to Black individuals (F = 3.96, p = .02, η2 = 0.76), but not between other groups. No difference in NVS score by FI status was observed. EPSI Body Dissatisfaction was positively associated with NVS score. No associations were found between remaining EPSI subscales, eating behaviors, or ED diagnosis. White women, but not other groups, were found to have significant negative relationship between NVS and EPSI restricting. Future longitudinal research including components of health literacy related to eating in individuals with FI is warranted.

Predictors of Interest in Offered Social Care Assistance Among People with Uncontrolled Diabetes

Despite increasing resources dedicated to identifying and addressing social risks in health care settings, many patients screening positive for social risks either decline assistance or do not follow up with offered resources. This study assessed predictors of engagement with offered social care assistance through guided self-navigation or in-person assistance. Data came from a cross-sectional analysis of 6-month follow-up survey data from an ongoing trial of participants with poorly controlled diabetes and a positive social risk screen randomized to guided online self-navigation or in-person social care assistance. Multivariable logistic regression models estimated participant characteristics associated with engagement with offered assistance. Mean age was 55 years (standard deviation = 12). Of 407 participants, 41% (n = 165) engaged with offered assistance: 76% (n = 137) of those in the guided self-navigation arm and 13% (n = 28) of those in the in-person assistance arm. A sizable proportion of participants endorsed already using assistance for medications (30%), food (26%), and employment (22%). Female gender [OR 1.57, 95% CI (1.03-2.40), P < 0.05] and being out of the workforce [OR 1.71, 95% CI (1.07-2.73), P < 0.05] predicted engagement with social care assistance. Those already using assistance for medications [OR 4.71, 95% CI (1.69-13.15), P < 0.05] and blood glucose supplies [OR 6.25, 95% CI (1.45-26.78) P < 0.05] were also more likely to engage with offered assistance. Fewer than half of individuals engaged with offered social assistance through either guided online self-navigation or in-person assistance; limited demographic and clinical factors predicted uptake. More investments are needed to understand how best to support uptake of offered assistance.

Motivators, Barriers, and Preferences to Engagement With Offered Social Care Assistance Among People With Diabetes: A Mixed Methods Study

INTRODUCTION

A substantial proportion of patients screening positive for social risks either decline assistance or do not follow-up with offered resources. This study examined patient interest in and engagement with offered social care assistance among adults with poorly controlled diabetes at an academic medical center.

METHODS

Surveys (n=307) and purposively sampled follow-up interviews (n=40) were conducted 6 months after randomization to receive guided online self-navigation or in-person assistance to address unmet social needs. Integrated mixed methods (data collected in 2019-2021) explored the motivators, barriers, and preferences regarding the uptake of offered assistance. Results were analyzed in 2021 using descriptive statistics, rapid qualitative analysis, and joint display models.

RESULTS

A total of 77% of people randomized to online self-navigation and 14% randomized to in-person assistance engaged with offered assistance. Motivators for engagement were similar across groups and included ease of use, anticipating assistance that could address 1 or more needs, and interest in learning more about available resources. Barriers to engagement included not needing or desiring assistance, participants perceiving that offered assistance was not relevant to their needs or that they would not qualify, competing priorities/forgetting, previous negative experiences or stigma, and technology or access challenges (online self-navigation group). Preferences around offered assistance that directly addressed barriers to uptake included changing messaging and framing around offered help and the ability to tailor modalities.

CONCLUSIONS

There are key barriers to the use of social care assistance that may directly reflect the process by which individuals are screened and offered assistance. Strategies to increase uptake should be patient centered and ideally provide multiple options for type of assistance and mode of engagement.

Mapping the spatial dimension of food insecurity using GIS-based indicators: A case of Western Kenya

Food insecurity elimination is a major focus of the Sustainable Development Goals and addresses one of the most pressing needs in developing countries. With the increasing incidence of food insecurity, poverty, and inequalities, there is a need for realignment of agriculture that aims to empower especially the rural poor smallholders by increasing productivity to improving food security conditions. Repositioning the agricultural sector should avoid general statements about production improvement, instead, it should tailor to location-specific recommendations that fully acknowledge the local spatial diversity of the natural resource base that largely determines production potentials under current low input agriculture. This paper aims to deconstruct the complex and multidimensional aspect of food insecurity and provides policymakers with an approach for mapping the spatial dimension of food insecurity. Using a set of GIS-based indicators, and a small-area approach, we combine Principal Component Analysis and GIS spatial analysis to construct one composite index and four individual indices based on the four dimensions of food security (access, availability, stability, and utilization) to map the spatial dimension of food insecurity in Vihiga County, Kenya. Data were collected by the use of a geocoded household survey questionnaire. The results reveal the existence of a clear and profound spatial disparity of food insecurity. Mapping food insecurity using individual dimension indices provides a more detailed picture of food insecurity as compared to the single composite index. Spatially disaggregated data, a small area approach, and GIS-based indicators prove valuable for mapping local-level causative factors of household food insecurity. Effective policy approaches to combat food insecurity inequalities should integrate spatially targeted interventions for each dimension of food insecurity.

Youth Perspectives on Their Medical Team's Role in Screening for and Addressing Social Determinants of Health

PURPOSE

Little is known about adolescents' and young adults' desires and preferences surrounding healthcare-based social determinants of health (SDOHs) interventions. To assess these preferences, we surveyed youth regarding their perspectives on their medical team's role in addressing SDOHs.

METHODS

We conducted a national text message survey of youth aged 14-24 years. The survey asked five open-ended questions about SDOHs and SDOH interventions. Qualitative data were analyzed independently by two investigators using thematic analysis. Prevalence of codes was summarized using descriptive statistics.

RESULTS

Among 1,156 participants, 1,038 responded to at least one survey question (response rate = 89.8%). Respondents were 19.2 (standard deviation: 2.4) years old on average, 48.9% male, 62.1% non-Hispanic white, and 38.9% qualified for free or reduced lunch. A large majority of our sample (81%) indicated that they think it is important for their doctor or medical team to ask about SDOHs. The most commonly reported barrier to seeking or receiving SDOH assistance was embarrassment (30%). Youth wanted their providers to help with SDOHs not only by providing information about resources (25%) and referrals (13%) but also by offering general advice (22%) and listening (11%). Approximately half (51%) of our sample preferred to receive information about SDOH assistance in person.

DISCUSSION

Most youth believe it is important for their medical teams to ask about and address SDOHs. Implementation of healthcare-based SDOH interventions for youth should optimize opportunities for face-to-face discussions about assistance during clinical encounters.

Social Needs Resource Connections: A Systematic Review of Barriers, Facilitators, and Evaluation

INTRODUCTION

Healthcare organizations increasingly are screening patients for social needs (e.g., food, housing) and referring them to community resources. This systematic mixed studies review assesses how studies evaluate social needs resource connections and identifies patient- and caregiver-reported factors that may inhibit or facilitate resource connections.

METHODS

Investigators searched PubMed and CINAHL for articles published from October 2015 to December 2020 and used dual review to determine inclusion based on a priori selection criteria. Data related to study design, setting, population of interest, intervention, and outcomes were abstracted. Articles' quality was assessed using the Mixed Methods Appraisal Tool. Data analysis was conducted in 2021.

RESULTS

The search identified 34 articles from 32 studies. The authors created a taxonomy of quantitative resource connection measures with 4 categories: whether participants made contact with resources, received resources, had their social needs addressed, or rated some aspect of their experience with resources. Barriers to resource connections were inadequacy, irrelevancy, or restrictiveness; inaccessibility; fears surrounding stigma or discrimination; and factors related to staff training and resource information sharing. Facilitators were referrals' relevancy, the degree of support and simplicity embedded within the interventions, and interventions being comprehensive and inclusive.

DISCUSSION

This synthesis of barriers and facilitators indicates areas where healthcare organizations may have agency to improve the efficacy of social needs screening and referral interventions. The authors also recommend that resource connection measures be explicitly defined and focus on whether participants received new resources and whether their social needs were addressed.

Understanding Caregiver Perspective on Social Determinants of Health Interventions in Pediatric Primary Care

Comprehensive social risk screening has become standard practice in primary care. Evidence is lacking, however, on whether and how interventions provided for positive screens are being utilized. This study aimed to create a standardized follow-up process to evaluate caregiver perspective and usage of community resources provided during well-child visits. Follow-up calls were made to families with positive screens for food insecurity (FI) and/or utility insecurity (UI) (n = 347). Phone interviews assessed resource usage, effectiveness, influence on stress level, and current insecurity status. Caregiver responses regarding barriers to resource usage were inductively analyzed and developed into major themes. The sample included 228 (65.7%) families with positive screens for FI and 166 (47.8%) families screening positive for UI. Of those who completed interviews (n = 108), 77 (71.3%) caregivers recalled being provided resources during their child's visit with only 33 (42.9%) reporting use of those resources. Twelve (36.4%) of those caregivers who used the resources confirmed that their insecurity was still a concern. Five major themes for barriers to resource usage emerged: (1) improved situation, (2) perception, (3) access barriers, (4) conflicting priorities, and (5) too busy/overwhelmed. The majority of caregivers (95.7% of asked) noted that their insecurity caused increased stress with 70.5% acknowledging decreased stress levels after discussion with a provider. Integrating caregiver input through a standardized follow-up protocol into provided interventions for screened social risks can improve not only the quality and effectiveness of provided resources, but also provide insight into the impact of those interventions on insecurity from the caregiver perspective.

Patient Preferences for Discussing and Acting on Health-Related Needs in Primary Care

Background:

Addressing social needs, health behaviors, and mental health may help patients more than traditional medical care. However, these root causes of poor health are difficult to address and the role of primary care is unclear. This qualitative study assesses patient’s willingness and motivations to discuss and accept assistance for these needs from their primary care team.

Methods:

In July and August of 2020, semi-structured virtual interviews were conducted with family medicine patients (n = 6) and residents of low resource neighborhoods (n = 11) in Richmond, Virginia. Interviews were conducted over Zoom. We conducted a qualitative analysis of patient and resident interview transcripts. A rapid qualitative analysis approach and immersion-crystallization processes were used to identify themes and categories.

Results:

Interviewees reported varying degrees of comfort discussing topics with their health care team. They were less comfortable discussing needs they considered outside the realm of “traditional primary care” including finances, transportation, and housing, but interviewees expressed willingness to discuss these needs under certain conditions. Important factors were a strong patient-clinician relationship to create a trusted and safe space for discussion, adequate time for discussion during visits, communication of practices’ ability to provide resources to help patients, and ensuring appropriate high quality referrals.

Conclusions:

Primary care provides opportunity for identifying and addressing needs that adversely impact health. Some needs are more sensitive for patients to work with their care team on, though, there was willingness to work on any need when a strong provider relationship and clinic structure for providing support were in place. This study highlights critical care delivery factors which may be used to enhance patient comfort accepting support for their needs and ultimately improve clinical care and chronic disease management.

Intersecting systemic and personal barriers to accessing social services: qualitative interviews in northern California

Background

Addressing social risks in the clinical setting can increase patient confidence in the availability of community resources and may contribute to the development of a therapeutic alliance which has been correlated with treatment adherence and improved quality of life in mental health contexts. It is not well understood what barriers patients face when trying to connect to community resources that help address social risks. This paper aims to describe patient-reported barriers to accessing and using social needs-related resources to which they are referred by a program embedded in a safety net primary care clinic.

Methods

This is a qualitative assessment of patient-reported barriers to accessing and using social needs assistance programs. We conducted over 100 in-depth interviews with individuals in Northern California who participated in a navigation and referral program to help address their social needs and describe a unique framework for understanding how policies and systems intersect with an individual’s personal life circumstances.

Results

Individuals described two distinct domains of barriers: 1) systems-level barriers that were linked to the inequitable distribution of and access to resources, and 2) personal-level barriers that focused on unique limitations experienced by each patient and impacted the way that they accessed services in their communities. While these barriers often overlapped or manifested in similar outcomes, this distinction was key because the systems barriers were not things that individuals could control or overcome through their own initiative or by increasing individual capacity.

Conclusions

Respondents describe intersecting systemic and personal barriers that compound patients’ challenges to getting their social needs met; this includes both a picture of the inequitable distribution of and access to social services and a profile of the limitations created by individual life histories. These results speak to the need for structural changes to improve adequacy, availability, and accessibility of social needs resources. These findings highlight the need for advocacy to address systems barriers, especially the stigma that is faced by people who struggle with a variety of health and social issues, and investment in incentives to strengthen relationships between health care settings and social service agencies.

Screening and Interventions for Social Risk Factors: Technical Brief to Support the US Preventive Services Task Force

IMPORTANCE

Evidence-based guidance is limited on how clinicians should screen for social risk factors and which interventions related to these risk factors improve health outcomes.

OBJECTIVE

To describe research on screening and interventions for social risk factors to inform US Preventive Services Task Force considerations of the implications for its portfolio of recommendations.

DATA SOURCES

Cochrane Database of Systematic Reviews, Cochrane Central Register of Controlled Trials, Ovid MEDLINE, Sociological Abstracts, and Social Services Abstracts (through 2018); Social Interventions Research and Evaluation Network evidence library (January 2019 through May 2021); surveillance through May 21, 2021; interviews with 17 key informants.

STUDY SELECTION

Individual-level and health care system-level interventions with a link to the health care system that addressed at least 1 of 7 social risk domains: housing instability, food insecurity, transportation difficulties, utility needs, interpersonal safety, education, and financial strain.

DATA EXTRACTION AND SYNTHESIS

One investigator abstracted data from studies and a second investigator evaluated data abstractions for completeness and accuracy; key informant interviews were recorded, transcribed, summarized, and integrated with evidence from the literature; narrative synthesis with supporting tables and figures.

MAIN OUTCOMES AND MEASURES

Validity of multidomain social risk screening tools; all outcomes reported for social risk-related interventions; challenges or unintended consequences of screening and interventions.

RESULTS

Many multidomain social risk screening tools have been developed, but they vary widely in their assessment of social risk and few have been validated. This technical brief identified 106 social risk intervention studies (N = 5 978 596). Of the interventions studied, 73 (69%; n = 127 598) addressed multiple social risk domains. The most frequently addressed domains were food insecurity (67/106 studies [63%], n = 141 797), financial strain (52/106 studies [49%], n = 111 962), and housing instability (63/106 studies [59%], n = 5 881 222). Food insecurity, housing instability, and transportation difficulties were identified by key informants as the most important social risk factors to identify in health care. Thirty-eight studies (36%, n = 5 850 669) used an observational design with no comparator, and 19 studies (18%, n = 15 205) were randomized clinical trials. Health care utilization measures were the most commonly reported outcomes in the 68 studies with a comparator (38 studies [56%], n = 111 102). The literature and key informants described many perceived or potential challenges to implementation of social risk screening and interventions in health care.

CONCLUSIONS AND RELEVANCE

Many interventions to address food insecurity, financial strain, and housing instability have been studied, but more randomized clinical trials that report health outcomes from social risk screening and intervention are needed to guide widespread implementation in health care.

When Families Do Not Request Help: Assessing a Social Determinants of Health Screening Tool in Practice

INTRODUCTION

Using pediatric social determinants of health screening data from a large medical system, we explored social needs dislosures and identified which needs were associated with resource connection requests.

METHOD

Data came from records of outpatient pediatric patients (0-18 years) seen between October 2018 and March 2020 (39,251 encounters). We assessed percent of encounters where families (1) indicated a social need, and (2) requested a resource connection. We conducted multivariable logistic regression to identify which needs were associated with resource connection requests.

RESULTS

Among all encounters, 8% indicated a need and 2% requested a resource connection. Among families indicating a need, needs associated with resource requests included: housing (odds ratio [OR], 3.49 [2.42-5.03]), employment (OR, 3.15 [2.21-4.50]), food (OR, 1.89 [1.41-2.52]), and transportation (OR, 1.82 [1.30-2.56]).

DISCUSSION

Families seldom requested resource connections to address social needs. Better understanding families' interests in receiving assistance is an important next step in pediatric social determinants of health screening system development.

Screening for Health-Related Social Needs of Emergency Department Patients

STUDY OBJECTIVE

There has been increasing attention to screening for health-related social needs. However, little is known about the screening practices of emergency departments (EDs). Within New England, we seek to identify the prevalence of ED screening for health-related social needs, understand the factors associated with screening, and understand how screening patterns for health-related social needs differ from those for violence, substance use, and mental health needs.

METHODS

We analyzed data from the 2018 National Emergency Department Inventory-New England survey, which was administered to all 194 New England EDs during 2019. We used descriptive statistics to compare ED characteristics by screening practices, and multivariable logistic regression models to identify factors associated with screening.

RESULTS

Among the 166 (86%) responding EDs, 64 (39%) reported screening for at least one health-related social need, 160 (96%) for violence (including intimate partner violence or other violent exposures), 148 (89%) for substance use disorder, and 159 (96%) for mental health needs. EDs reported a wide range of social work resources to address identified needs, with 155 (93%) reporting any social worker availability and 41 (27%) reporting continuous availability.

CONCLUSION

New England EDs are screening for health-related social needs at a markedly lower rate than for violence, substance use, and mental health needs. EDs have relatively limited resources available to address health-related social needs. We encourage research on the development of scalable solutions for identifying and addressing health-related social needs in the ED.

Assessment of Social Risk Factors and Interest in Receiving Health Care-Based Social Assistance Among Adult Patients and Adult Caregivers of Pediatric Patients

IMPORTANCE

Health care organizations are increasingly incorporating social risk screening into patient care. Studies have reported wide variations in patients' interest in receiving health care-based assistance for identified social risks. However, no study to date has examined the factors associated with patients' interest in receiving assistance, including whether interest in receiving assistance varies based on specific patient demographic characteristics. Targeted research on this topic could improve the success of health care-based programs that offer social care services.

OBJECTIVE

To identify participant characteristics associated with interest in receiving health care-based social risk assistance.

DESIGN, SETTING, AND PARTICIPANTS

This cross-sectional study was conducted in 7 primary care clinics and 4 emergency departments in 9 US states between July 2, 2018, and February 13, 2019. A convenience sample of adult patients and adult caregivers of pediatric patients completed a screening survey that measured social risk factors and participants' interest in receiving assistance for identified social risks. Participants were randomly selected to receive 1 of 2 versions of the survey, which differed based on the order in which questions about social risks and interest in receiving assistance were presented. Multivariable logistic regression analyses were used to evaluate the associations between covariates and participants' interest in receiving assistance, stratified by social risk screening results. Data were analyzed from September 8, 2019, to July 30, 2020.

EXPOSURES

Social risk screening questions assessed risk factors comprising housing, food, transportation, utilities, and exposure to interpersonal violence. Additional questions assessed participants' interest in receiving assistance and their perspectives on health care-based social risk screening.

MAIN OUTCOMES AND MEASURES

Participant interest in receiving health care-based social risk assistance.

RESULTS

A total of 1021 adult participants with complete survey responses were included in the analysis. Of those, 709 of 1004 participants (70.6%) were female, and 544 of 1007 participants (54.0%) were aged 18 to 44 years. Overall, 353 of 662 participants (53.3%) with positive screening results for 1 or more social risk factors were interested in receiving assistance, whereas 31 of 359 participants (8.6%) with negative screening results for all social risks were interested in receiving assistance. Participants with positive screening results for 1 or more social risk factors had a higher likelihood of being interested in receiving assistance if they answered the question about interest in receiving assistance before they answered the questions about social risk factors (adjusted odds ratio [aOR], 1.48; 95% CI, 1.05-2.07), had positive screening results for a higher number of social risk factors (aOR, 2.40; 95% CI, 1.68-3.42), reported lower household income levels (aOR, 7.78; 95% CI, 2.96-20.44), or self-identified as having non-Hispanic Black ancestry (aOR, 2.22; 95% CI, 1.37-3.60). Among those with negative screening results for all social risk factors, the interest in receiving assistance was higher if the participants reported lower household income levels (aOR, 12.38; 95% CI, 2.94-52.15), previous exposure to health care-based social risk screening (aOR, 2.35; 95% CI, 1.47-3.74), higher perceived appropriateness of social risk screening (aOR, 3.69; 95% CI, 1.08-12.55), or worse health status (aOR, 4.22; 95% CI, 1.09-16.31).

CONCLUSIONS AND RELEVANCE

In this study, multiple factors were associated with participants' interest in receiving social risk assistance. These findings may have implications for how and when social risk assistance is offered to patients. As the health care system's role in addressing social risk factors evolves, an understanding of patients' perspectives regarding screening and their interest in receiving assistance may be important to implementing patient-centered interventions.

Initiating and Implementing Social Determinants of Health Data Collection in Community Health Centers

Successfully incorporating social determinants of health (SDH) screening into clinic workflows can help care teams provide targeted care, appropriate referrals, and other interventions to address patients' social risk factors. However, integrating SDH screening into clinical routines is known to be challenging. To achieve widespread adoption of SDH screening, we need to better understand the factors that can facilitate or hinder implementation of effective, sustainable SDH processes. The authors interviewed 43 health care staff and professionals at 8 safety net community health center (CHC) organizations in 5 states across the United States; these CHCs had adopted electronic health record (EHR)-based SDH screening without any external implementation support. Interviewees included staff in administrative, quality improvement, informatics, front desk, and clinical roles (providers, nurses, behavioral health staff), and community health workers. Interviews focused on how each organization integrated EHR-based SDH screening into clinic workflows, and factors that affected adoption of this practice change. Factors that facilitated effective integration of EHR-based SDH screening were: (1) external incentives and motivators that prompted introduction of this screening (eg, grant requirements, encouragement from professional associations); (2) presence of an SDH screening advocate; and (3) maintaining flexibility with regard to workflow approaches to optimally align them with clinic needs, interests, and resources. Results suggest that it is possible to purposefully create an environment conducive to successfully implementing EHR-based SDH screening. Approaching the task of implementing SDH screening into clinic workflows as understanding the interplay of context-dependent factors, rather than following a step-by-step process, may be critical to success in primary care settings.

Part II: A Qualitative Study of Social Risk Screening Acceptability in Patients and Caregivers

INTRODUCTION

This study aimed to better understand patient and caregiver perspectives on social risk screening across different healthcare settings.

METHODS

As part of a mixed-methods multisite study, the authors conducted semistructured interviews with a subset of adult patients and adult caregivers of pediatric patients who had completed the Center for Medicare and Medicaid Innovation Accountable Health Communities social risk screening tool between July 2018 and February 2019. Interviews, conducted in English or Spanish, asked about reactions to screening, screening acceptability, preferences for administration, prior screening experiences that informed perspectives, and expectations for social assistance. Basic thematic analysis and constant comparative methods were used to code and develop themes.

RESULTS

Fifty interviews were conducted across 10 study sites in 9 states, including 6 primary care clinics and 4 emergency departments. There was broad consensus among interviewees across all sites that social risk screening was acceptable. The following 4 main themes emerged: (1) participants believed screening for social risks is important; (2) participants expressed insight into the connections between social risks and overall health; (3) participants emphasized the importance of patient-centered implementation of social risk screening; and (4) participants recognized limits to the healthcare sector's capacity to address or resolve social risks.

CONCLUSIONS

Despite gaps in the availability of social risk-related interventions in healthcare settings, patient-centered social risk screening, including empathy and attention to privacy, may strengthen relationships between patients and healthcare teams.

SUPPLEMENT INFORMATION

This article is part of a supplement entitled Identifying and Intervening on Social Needs in Clinical Settings: Evidence and Evidence Gaps, which is sponsored by the Agency for Healthcare Research and Quality of the U.S. Department of Health and Human Services, Kaiser Permanente, and the Robert Wood Johnson Foundation.