Association of Patient-Reported Social Needs with Emergency Department Visits and Hospitalizations Among Federally Qualified Health Center Patients.

BACKGROUND: Health care systems are increasingly screening for unmet social needs. The association between patient-reported social needs and health care utilization is not well understood. OBJECTIVE: To investigate the association between patient-reported social needs, measured by the Protocol for Responding to and Assessing Patients' Assets, Risks, and Experiences (PRAPARE), and inpatient and emergency department (ED) utilization. DESIGN: This cohort study analyzed merged 2017-2019 electronic health record (EHR) data across multiple health systems. PARTICIPANTS: Adult patients from a federally qualified health center (FQHC) in central North Carolina who completed PRAPARE as part of a primary care visit with behavioral health services. MAIN MEASURES: The count of up to 12 unmet social needs, aggregated as 0, 1, 2, or 3 + . Outcomes include the probability of an ED visit and hospitalization 12 months after PRAPARE assessment, modeled by logistic regressions controlling for age, sex, race, ethnicity, comorbidity burden, being uninsured, and prior utilization in the past 12 months. KEY RESULTS: The study population consisted of 1924 adults (38.7% male, 50.1% Black, 36.3% Hispanic, 55.9% unemployed, 68.2% of patients reported 1 + needs). Those with more needs were younger, more likely to be unemployed, and experienced greater comorbidity burden. 35.3% of patients had ED visit(s) and 36.3% had hospitalization(s) 1 year after PRAPARE assessment. In adjusted analysis, having 3 + needs was associated with a percentage point increase in the predicted probability of hospitalization (average marginal effect 0.06, SE 0.03, p < 0.05) compared with having 0 needs. Similarly, having 2 needs (0.07, SE 0.03, p < 0.05) or 3 + needs (0.06, SE 0.03, p < 0.05) was associated with increased probability of ED visits compared to 0 needs. CONCLUSIONS: Patient-reported social needs were common and associated with health care utilization patterns. Future research should identify interventions to address unmet social needs to improve health and avoid potentially preventable escalating medical intervention.

Financial Hardship Among Traditional Medicare and Medicare Advantage Enrollees With and Without Food Insecurity.

BACKGROUND: Compared to traditional Medicare (TM), Medicare Advantage (MA) plans impose out-of-pocket cost limits and offer extra benefits, potentially providing financial relief for MA enrollees, especially for those with food insecurity. OBJECTIVE: To examine whether the prevalence of food insecurity differs between TM and MA enrollees at baseline and then examine whether MA enrollment in a baseline year is associated with less financial hardships in the following year, relative to TM enrollment, especially for those experiencing food insecurity. DESIGN: We conducted a retrospective longitudinal cohort study. PARTICIPANTS: Our analysis included 2807 Medicare beneficiaries (weighted sample size, 23,963,947) who maintained continuous enrollment in either TM or MA in both 2020 and 2021 from the Medical Expenditure Panel Survey. MAIN MEASURES: We assessed outcomes related to financial hardships in health care and non-health care domains (measured in 2021). Our primary independent variables were food insecurity and MA enrollment (measured in 2020). RESULTS: The point estimate of food insecurity prevalence was greater among MA enrollees than TM enrollees, but the difference was not statistically significant (1.1 percentage points [95% CI, - 1.0, 3.4]). Furthermore, there is evidence that compared to TM enrollment, MA enrollment did not mitigate the risk of financial hardship, particularly for food-insecure enrollees. Rather, food-secure MA enrollees faced greater financial hardship in the following year than food-secure TM enrollees (11.2% [8.9-13.6] and 7.6% [6.9-8.3] for problems paying medical bills and 5.5% [4.6-6.4] and 2.8% [2.1-3.6] for paying medical bills over time). Moreover, the point estimate of financial hardship was higher among food-insecure MA enrollees than food-insecure TM enrollees (21.5% [5.4-37.5] and 11.2% [4.1-18.4] and 23.7% [9.6-37.9] and 6.9% [0.5-13.3]) despite the lack of statistical significance. CONCLUSION: These findings suggest that the promise of financial protection offered by MA plans has not been fully realized, particularly for those with food insecurity.

"We don't separate out these things. Everything is related": Partnerships with Indigenous Communities to Design, Implement, and Evaluate Multilevel Interventions to Reduce Health Disparities.

Multilevel interventions (MLIs) are appropriate to reduce health disparities among Indigenous peoples because of their ability to address these communities' diverse histories, dynamics, cultures, politics, and environments. Intervention science has highlighted the importance of context-sensitive MLIs in Indigenous communities that can prioritize Indigenous and local knowledge systems and emphasize the collective versus the individual. This paradigm shift away from individual-level focus interventions to community-level focus interventions underscores the need for community engagement and diverse partnerships in MLI design, implementation, and evaluation. In this paper, we discuss three case studies addressing how Indigenous partners collaborated with researchers in each stage of the design, implementation, and evaluation of MLIs to reduce health disparities impacting their communities. We highlight the following: (1) collaborations with multiple, diverse tribal partners to carry out MLIs which require iterative, consistent conversations over time; (2) inclusion of qualitative and Indigenous research methods in MLIs as a way to honor Indigenous and local knowledge systems as well as a way to understand a health disparity phenomenon in a community; and (3) relationship building, maintenance, and mutual respect among MLI partners to reconcile past research abuses, prevent extractive research practices, decolonize research processes, and generate co-created knowledge between Indigenous and academic communities.

Social Isolation, Loneliness, and Quality of Life Among Food-Insecure Adults.

INTRODUCTION: Food insecurity is associated with adverse health outcomes, but may also have a detrimental effect on social relationships, potentially exacerbating social isolation and loneliness, and consequently affecting health-related quality of life. This study examined the associations of food insecurity with social isolation, loneliness, and health-related quality of life among U.S. adults. METHODS: A retrospective cohort study was conducted using panel data from the 2020-2021 Medical Expenditure Panel Survey. Regression models were used to assess the associations of food insecurity in 1 year with the outcomes of interest in the subsequent year while adjusting for baseline individual-level characteristics. Analysis was conducted in December 2023. RESULTS: Experiencing food insecurity in 2020 was significantly associated with increased reports of social isolation (3.1 percentage points [95% CI: 1.2-5.1]) and loneliness (9.7 percentage points [95% CI: 1.0-18.3]) in 2021. Additionally, food insecurity in 2020 was significantly associated with lower self-reported good mental health (-2.9 percentage points [95% CI: -5.1, -0.6]) and mental component summary score from the Short Form-12 Health Survey (-3.3 points [95% CI -3.8, -2.9]) in 2021. However, there were no or small associations with physical health-related quality of life. CONCLUSIONS: Food insecurity is associated with worse social and mental well-being among U.S. adults. This suggests that food insecurity interventions should not focus too narrowly on nutrition, but instead give holistic consideration to the multiple ways food insecurity harms health-not only via lower quality diets, but through worse mental health and impairing the ability to participate in social life.

Benefits, Challenges, and Opportunities in Addressing Medicaid Beneficiaries' Non-Medical Risks to Health: A Qualitative Analysis.

CONTEXT: North Carolina's Healthy Opportunities Pilots (HOP) is a Medicaid 1115 Waiver program that seeks to address nonmedical risks to health for Medicaid beneficiaries through multisector collaboration. Among other stakeholders, HOP involves collaboration between human services organizations that deliver interventions, network leads, which establish and oversee the human services organizations within a region of the state. OBJECTIVE: To understand how employees at human services organizations and network leads prepared to deliver HOP services. DESIGN: Qualitative analysis of semistructured interviews. Interviews were conducted between April and June 2022. Interviews were recorded, transcribed verbatim, coded thematically, and analyzed using a conceptual model derived from the consolidated framework for implementation research. SETTING: Organizations within North Carolina counties participating in HOP. PARTICIPANTS: Employees of human services and network lead organizations across all 3 HOP regions of North Carolina. RESULTS: The researchers interviewed 37 participants. Overall, organizations experienced benefits from HOP participation, including capacity-building resources, flexibility in allocating resources, and creating community-wide enthusiasm for addressing nonmedical risks to health. There were also key challenges. These included the time needed to build capacity, adjustments to the work processes and regulations inherent to multisector collaboration, geographic variation in availability of services to offer, and the difficulty of addressing different needs. Finally, participants recognized substantial opportunities that HOP presented, including membership in a more extensive network, exposure to a learning community, and a more sustainable funding source. CONCLUSIONS: The perspectives of individuals preparing to deliver HOP services offer important lessons for those developing and implementing large-scale programs that can address nonmedical threats to health.

Food Insecurity and Social Policy: A Comparative Analysis of Welfare State Regimes in 19 Countries.

We sought to determine whether a country's social policy configuration-its welfare state regime-is associated with food insecurity risk. We conducted a cross-sectional study of 2017 U.N. Food and Agriculture Organization individual-level food insecurity survey data from 19 countries (the most recent data available prior to COVID-19). Countries were categorized into three welfare state regimes: liberal (e.g., the United States), corporatist (e.g., Germany), or social democratic (e.g., Norway). Food insecurity probability, calibrated to an international reference standard, was calculated using a Rasch model. We used linear regression to compare food insecurity probability across regime types, adjusting for per-capita gross domestic product, age, gender, education, and household composition. There were 19,008 participants. The mean food insecurity probability was 0.067 (SD: 0.217). In adjusted analyses and compared with liberal regimes, food insecurity probability was lower in corporatist (risk difference: -0.039, 95% CI -0.066 to -0.011, p = .006) and social democratic regimes (risk difference: -0.037, 95% CI -0.062 to -0.012, p = .004). Social policy configuration is strongly associated with food insecurity risk. Social policy changes may help lower food insecurity risk in countries with high risk.

Accuracy of a Single Financial Security Question to Screen for Social Needs.

OBJECTIVES: Screening for social needs is recommended during clinical encounters but multi-item questionnaires can be burdensome. We evaluate if a single question about financial stress can be used to prescreen for food insecurity, housing instability, or transportation needs. METHODS: We use retrospective medical record data from children (<11 years) seen at 45 primary pediatric care offices in 2022. Social needs screening was automated at well child visits and could be completed by the parent/guardian via the patient portal, tablet in the waiting room, or verbally with staff. We report the area under the receiver operating curve for the 5 response options of the financial stress question as well as sensitivity and specificity of the financial stress question ("not hard at all" vs any other response) to detect other reported social needs. RESULTS: Of 137 261 eligible children, 130 414 (95.0%) had social needs data collected. Seventeen percent of respondents reported a housing, food, or transportation need. The sensitivity of the financial stress question was 0.788 for any one or more of the 3 other needs, 0.763 for food insecurity, 0.743 for housing instability, and 0.712 for transportation needs. Using the financial stress question as the first-step of a screening process would miss 9.7% of the families who reported food insecurity, 22.6% who reported housing instability, and 33.0% who reported transportation needs. CONCLUSIONS: A single question screener about financial stress does not function well as a prescreen because of low sensitivity to reports of food insecurity, housing instability, and transportation needs.

Understanding food insecurity risk in the United States: A longitudinal analysis.

Background: Food insecurity, lack of consistent access to the food needed for an active, healthy life, harms population health. Although substantial biomedical evidence examines the connections between food insecurity and health, fewer studies examine why food insecurity occurs. Methods: We propose a conceptual understanding of food insecurity risk based on institutions that distribute income-the factor payment system (income distribution stemming from paid labor and asset ownership), transfers within households, and the government tax-and-transfer system. A key feature of our understanding is 'roles' individuals inhabit in relation to the factor payment system: child, older adult, disabled working-age adult, student, unemployed individual, caregiver, or paid laborer. A second feature is that the roles of others in an individual's household also affect an individual's food insecurity risk. We tested hypotheses implied by this understanding, particularly hypotheses relating to role, household composition, and income support programs, using nationally-representative, longitudinal U.S. Current Population Survey data (2016-2019). Results: There were 16,884 participants (year 1 food insecurity prevalence: 10.0%). Inhabiting roles of child (Relative Risk [RR] 1.79, 95% Confidence Interval [95%CI] 1.67 to 1.93), disabled working age-adult (RR 3.74, 95%CI 3.25 to 4.31), or unemployed individual (RR 3.29, 95%CI 2.51 to 4.33) were associated with a greater risk of food insecurity than being a paid laborer. Most food insecure households, 74.8%, had members inhabiting roles of child or disabled working age-adult, and/or contained individuals who experienced job loss. Similar associations held when examining those transitioning from food insecurity to food security in year 2. Conclusions: The proposed understanding accords with the pattern of food insecurity risk observed in the U.S. An implication is that transfer income programs for individuals inhabiting roles, such as childhood and disability, that limit factor payment system participation may reduce food insecurity risk for both those individuals and those in their household.

Multisector Collaboration vs. Social Democracy for Addressing Social Determinants of Health.

Policy Points Multisector collaboration, the dominant approach for responding to health harms created by adverse social conditions, involves collaboration among health care insurers, health care systems, and social services organizations. Social democracy, an underused alternative, seeks to use government policy to shape the civil (e.g., civil rights), political (e.g., voting rights), and economic (e.g., labor market institutions, property rights, and the tax-and-transfer system) institutions that produce health. Multisector collaboration may not achieve its goals, both because the collaborations are difficult to accomplish and because it does not seek to transform social conditions, only to mitigate their harms. Social democracy requires political contestation but has greater potential to improve population health and health equity.

Food Is Medicine: A Presidential Advisory From the American Heart Association.

Unhealthy diets are a major impediment to achieving a healthier population in the United States. Although there is a relatively clear sense of what constitutes a healthy diet, most of the US population does not eat healthy food at rates consistent with the recommended clinical guidelines. An abundance of barriers, including food and nutrition insecurity, how food is marketed and advertised, access to and affordability of healthy foods, and behavioral challenges such as a focus on immediate versus delayed gratification, stand in the way of healthier dietary patterns for many Americans. Food Is Medicine may be defined as the provision of healthy food resources to prevent, manage, or treat specific clinical conditions in coordination with the health care sector. Although the field has promise, relatively few studies have been conducted with designs that provide strong evidence of associations between Food Is Medicine interventions and health outcomes or health costs. Much work needs to be done to create a stronger body of evidence that convincingly demonstrates the effectiveness and cost-effectiveness of different types of Food Is Medicine interventions. An estimated 90% of the $4.3 trillion annual cost of health care in the United States is spent on medical care for chronic disease. For many of these diseases, diet is a major risk factor, so even modest improvements in diet could have a significant impact. This presidential advisory offers an overview of the state of the field of Food Is Medicine and a road map for a new research initiative that strategically approaches the outstanding questions in the field while prioritizing a human-centered design approach to achieve high rates of patient engagement and sustained behavior change. This will ideally happen in the context of broader efforts to use a health equity-centered approach to enhance the ways in which our food system and related policies support improvements in health.

Association of Unmet Social Needs With Metformin Use Among Patients With Type 2 Diabetes.

OBJECTIVE: To evaluate the relationship between social needs and metformin use among adults with type 2 diabetes (T2D). RESEARCH DESIGN AND METHODS: In a prospective cohort study of adults with T2D (n = 722), we linked electronic health record (EHR) and Surescripts (Surescripts, LLC) prescription network data to abstract data on patient-reported social needs and to calculate metformin adherence based on expected refill frequency using a proportion of days covered methodology. RESULTS: After adjusting for demographics and clinical complexity, two or more social needs (-0.046; 95% CI -0.089, 0.003), being uninsured (-0.052; 95% CI -0.095, -0.009) and while adjusting for other needs, being without housing (-0.069; 95% CI -0.121, -0.018) and lack of access to medicine/health care (-0.058; 95% CI -0.115, -0.000) were associated with lower use. CONCLUSIONS: We found that overall social need burden and specific needs, particularly housing and health care access, were associated with clinically significant reductions in metformin adherence among patients with T2D.

Protocol for a randomized controlled trial of medically tailored meals compared to usual care among individuals with type 2 diabetes in Australia.

BACKGROUND: 'Food is medicine' strategies aim to integrate food-based nutrition interventions into healthcare systems and are of growing interest to healthcare providers and policy makers. 'Medically Tailored Meals' (MTM) is one such intervention, which involves the 'prescription' by healthcare providers of subsidized, pre-prepared meals for individuals to prevent or manage chronic conditions, combined with nutrition education. OBJECTIVE: This study will test the efficacy of an MTM program in Australia among participants with type 2 diabetes (T2D) and hyperglycemia, who experience difficulties accessing and eating nutritious food. METHODS: This study will be a two-arm parallel trial (goal n = 212) with individuals randomized in a 1:1 ratio to a MTM intervention group or a control group (106 per arm). Over 26 weeks, the intervention group will be prescribed 20 MTM per fortnight and up to 3 sessions with an accredited dietitian. Controls will continue with their usual care. The primary outcome is glycated hemoglobin (HbA1c, %) and secondary outcomes include differences in blood pressure, blood lipids and weight, all measured at 26 weeks. Process and economic data will be analyzed to assess the feasibility, acceptability, scalability, and cost-effectiveness of the intervention. Recruitment commenced in the first quarter of 2023, with analyses and results anticipated to be available by March 2025. DISCUSSION: Few randomized controlled trials have assessed the impact of MTM on clinical outcomes. This Australian-first trial will generate robust data to inform the case for sustained, large-scale implementation of MTM to improve the management of T2D among vulnerable populations. ANZCTR: ACTRN12622000852752. PROTOCOL VERSION: Version 1.1, July 2023.

Diet and Food and Nutrition Insecurity and Cardiometabolic Disease.

Poor nutrition is the leading cause of poor health, health care spending, and lost productivity in the United States and globally, which acts through cardiometabolic diseases as precursors to cardiovascular disease, cancer, and other conditions. There is great interest in how the social determinants of health (the conditions in which people are born, live, work, develop, and age) impact cardiometabolic disease. Food insecurity is an example of a powerful social determinant of health that impacts health outcomes. Nutrition insecurity, a distinct but related concept to food insecurity, is a direct determinant of health. In this article, we provide an overview of how diet in early life relates to cardiometabolic disease and then continue to focus on the concepts of food insecurity and nutrition insecurity. In the discussions herein we make important distinctions between the concepts of food insecurity and nutrition insecurity and provide a review of their concepts, histories, measurement and assessment devices, trends and prevalence, and links to health and health disparities. The discussions here set the stage for future research and practice to directly address the negative consequences of food and nutrition insecurity.

Permanent Supportive Housing Receipt and Health Care Use Among Adults With Disabilities.

This study assessed whether permanent supportive housing (PSH) participation is associated with health service use among a population of adults with disabilities, including people transitioning into PSH from community and institutional settings. Our primary data sources were 2014 to 2018 secondary data from a PSH program in North Carolina linked to Medicaid claims. We used propensity score weighting to estimate the average treatment effect on the treated of PSH participation. All models were stratified by whether individuals were in institutional or community settings prior to PSH. In weighted analyses, among individuals who were institutionalized prior to PSH, PSH participation was associated with greater hospitalizations and emergency department (ED) visits and fewer primary care visits during the follow-up period, compared with similar individuals who largely remained institutionalized. Individuals who entered PSH from community settings did not have significantly different health service use from similar comparison group members during the 12-month follow-up period.

Potential gaps in income support policies for those in poor health: The case of the earned income tax credit-A cross sectional analysis.

Background: The federal Earned Income Tax Credit (EITC) is the primary income support program for low-income workers in the U.S., but its design may hinder its effectiveness when poor health limits, but does not preclude, work. Methods: Cross-sectional analysis of nationally-representative U.S. Census Current Population Survey (CPS) data covering 2019. Working-age adults eligible to receive federal EITC were included in this study. Poor health, as indicated by self-report of at least one problem with hearing, vision, cognitive function, mobility, dressing and bathing, or independence, was the exposure. The main outcome was federal EITC benefit category, categorized as no benefit, phase-in (income too low for the maximum benefit), plateau (maximum benefit), phase-out (income above threshold for maximum benefit), or earnings too high to receive any benefit. We estimated EITC benefit category probabilities by health status using multinomial logistic regression. We further examined whether other government benefits provided additional income support to those in poor health. Results: 41,659 participants (representing 87.1 million individuals) were included. 2,724 participants (representing 5.6 million individuals) reported poor health. In analyses standardized over age, gender, race, and ethnicity, those in poor health, compared with those not in poor health, were more likely to be in the no benefit (2.40% vs. 0.30%, risk difference 2.10 percentage points [95%CI 1.75 to 2.46 percentage points]), and phase-in (9.28% vs. 2.74%, risk difference 6.54 percentage points [95%CI 5.82 to 7.26 percentage points]) categories. Differences in resources by health status persisted even after accounting for other government benefits. Conclusions: EITC program design creates an important gap in income support for those for whom poor health limits work, which is not closed by other programs. Filling this gap is an important public health goal.