Screening for Financial Hardship: Comparing Patient Survey Responses Using Two Different Screening Tools.

BACKGROUND: Healthcare delivery organizations are increasingly screening patients for social risks using tools that vary in content and length. OBJECTIVES: To compare two screening tools both containing questions related to financial hardship. DESIGN: Cross-sectional survey. PARTICIPANTS: Convenience sample of adult patients (n = 471) in three primary care clinics. MAIN MEASURES: Participants randomly assigned to self-complete either: (1) a screening tool developed by the Centers for Medicare & Medicaid Services (CMS) consisting of six questions on financial hardship (housing stability, housing quality, food security, transportation security, utilities security); or (2) social and behavioral risk measures recommended by the National Academy of Medicine (NAM), including one question on financial hardship (financial strain). We compared patient acceptability of screening, positive screening rates for financial hardship, patient interest in assistance, and self-rated health. RESULTS: Ninety-one percent of eligible/interested patients completed the relevant survey questions to be included in the study (N = 471/516). Patient acceptability was high for both tools, though more participants reported screening was appropriate when answering the CMS versus NAM questions (87% vs. 79%, p = 0.02). Of respondents completing the CMS tool, 57% (132/232) reported at least one type of financial hardship; on the NAM survey, 52% (125/239) reported financial hardship (p = 0.36). Nearly twice as many respondents indicated interest in assistance related to financial hardship after completing items on the CMS tool than on the NAM question (39% vs. 21%, p < 0.01). CONCLUSIONS: Patients reported high acceptability of both social risk assessment tools. While rates of positive screens for financial hardship were similar across the two measures, more patients indicated interest in assistance after answering questions about financial hardship on the CMS tool. This might be because the screening questions on the CMS tool help patients to appreciate the types of assistance related to financial hardship that may be available after screening. Future research should assess the validity and comparative validity of individual measures and measure sets. Tool selection should be based on setting and population served, screening goals, and resources available.

Revising the Logic Model Behind Health Care's Social Care Investments.

Policy Points This article summarizes recent evidence on how increased awareness of patients' social conditions in the health care sector may influence health and health care utilization outcomes. Using this evidence, we propose a more expansive logic model to explain the impacts of social care programs and inform future social care program investments and evaluations.

Associations between Social Adversity and Biomarkers of Inflammation, Stress, and Aging in Children.

BACKGROUND: Prior work has found relationships between childhood social adversity and biomarkers of stress, but knowledge gaps remain. To help address these gaps, we explored associations between social adversity and biomarkers of inflammation (interleukin-1ß [IL-1ß], IL-6, IL-8, tumor necrosis factor-alpha [TNF-α], and salivary cytokine hierarchical "clusters" based on the three interleukins), neuroendocrine function (cortisol, cortisone, dehydroepiandrosterone, testosterone, and progesterone), neuromodulation (N-arachidonoylethanolamine, stearoylethanolamine, oleoylethanolamide, and palmitoylethanolamide), and epigenetic aging (Pediatric-Buccal-Epigenetic clock). METHODS: We collected biomarker samples of children ages 0-17 recruited from an acute care pediatrics clinic and examined their associations with caregiver-endorsed education, income, social risk factors, and cumulative adversity. We calculated regression-adjusted means for each biomarker and compared associations with social factors using Wald tests. We used logistic regression to predict being in the highest cytokine cluster based on social predictors. RESULTS: Our final sample included 537 children but varied based on each biomarker. Cumulative social adversity was significantly associated with having higher levels of all inflammatory markers and with cortisol, displaying a U-shaped distribution. There were no significant relationships between cumulative social adversity and cortisone, neuromodulation biomarkers or epigenetic aging. CONCLUSION: Our findings support prior work suggesting that social stress exposures contribute to increased inflammation in children. IMPACT: Our study is one of the largest studies examining associations between childhood social adversity and biomarkers of inflammation, neuroendocrine function, neuromodulation, and epigenetic aging. It is one of the largest studies to link childhood social adversity to biomarkers of inflammation, and the first of which we are aware to link cumulative social adversity to cytokine clusters. It is also one of the largest studies to examine associations between steroids and epigenetic aging among children, and one of the only studies of which we are aware to examine associations between social adversity and endocannabinoids among children. CLINICAL TRIAL REGISTRATION: NCT02746393.

Essential not Supplemental: Medicare Advantage Members' Use of Non-Emergency Medical Transportation (NEMT).

BACKGROUND: Over five million people in the USA miss or delay medical care because of a lack of transportation. Transportation barriers are especially relevant to Medicare Advantage (MA) health plan enrollees, who are more likely to live with multiple chronic conditions and experience mobility challenges. Non-Emergency Medical Transportation (NEMT) helps to address transportation gaps by providing rides to and from routine medical care (for example, medical appointments, laboratory tests, and pharmacy visits) and has been added as a supplemental benefit to some MA health plans. OBJECTIVE: We aimed to characterize MA enrollees' experiences with supplemental NEMT benefits. DESIGN: Qualitative interviews focused on participants' experiences with existing NEMT benefits, transportation, and mobility. PARTICIPANTS: Twenty-one MA enrollees who used their MA NEMT benefit in 2019 and who remained eligible for ongoing transportation benefits through 2021. APPROACH: Using purposive sampling from a list of eligible participants, we recruited individuals who used their MA NEMT benefit in 2019 and who remained eligible for benefit-covered transportation services through 2021. KEY RESULTS: Participants considered NEMT an essential service, particularly because these services helped them decrease social isolation, reduce financial insecurity, and manage their own medical needs. Navigating logistical challenges associated with arranging NEMT services required participants to commit considerable time and energy and limited the effectiveness and reliability of NEMT. CONCLUSION: Participants described NEMT as a valued service essential to their ability to access health care. They suggested ways to increase service flexibility and reliability that could inform future NEMT policy and practice. As health systems and payers learn how to best address social risks, particularly as the US population ages, our findings underscore the importance of NEMT services and highlight opportunities to advance comprehensive transportation solutions for MA participants.

Community Health Center Staff Perspectives on Financial Payments for Social Care.

Policy Points State and federal payers are actively considering strategies to increase the adoption of social risk screening and interventions in health care settings, including through the use of financial incentives. Activities related to social care in Oregon community health centers (CHCs) provided a unique opportunity to explore whether and how fee-for-service payments for social risk screening and navigation influence CHC activities. CHC staff, clinicians, and administrative leaders were often unaware of existing financial payments for social risk screening and navigation services. As currently designed, fee-for-service payments are unlikely to strongly influence CHC social care practices. CONTEXT: A growing crop of national policies has emerged to encourage health care delivery systems to ask about and try to address patients' social risks, e.g., food, housing, and transportation insecurity, in care delivery contexts. In this study, we explored how community health center (CHC) staff perceive the current and potential influence of fee-for-service payments on clinical teams' engagement in these activities. METHODS: We interviewed 42 clinicians, frontline staff, and administrative leaders from 12 Oregon CHC clinical sites about their social care initiatives, including about the role of existing or anticipated financial payments intended to promote social risk screening and referrals to social services. Data were analyzed using both inductive and deductive thematic analysis approaches. FINDINGS: We grouped findings into three categories: participants' awareness of existing or anticipated financial incentives, uses for incentive dollars, and perceived impact of financial incentives on social care activities in clinical practices. Lack of awareness of existing incentives meant these incentives were not perceived to influence the behaviors of staff responsible for conducting screening and providing referrals. Current or anticipated meaningful uses for incentive dollars included paying for social care staff, providing social services, and supporting additional fundraising efforts. Frontline staff reported that the strongest motivator for clinic social care practices was the ability to provide responsive social services. Clinic leaders/managers noted that for financial incentives to substantively change CHC practices would require payments sizable enough to expand the social care workforce as well. CONCLUSIONS: Small fee-for-service payments to CHCs for social risk screening and navigation services are unlikely to markedly influence CHC social care practices. Refining the design of financial incentives-e.g., by increasing clinical teams' awareness of incentives, linking screening to well-funded social services, and changing incentive amounts to support social care staffing needs-may increase the uptake of social care practices in CHCs.

Patient-Reported Social Risks and Clinician Decision Making: Results of a Clinician Survey in Primary Care Community Health Centers.

PURPOSE: To assess the extent that patients' social determinants of health (SDOH) influence safety-net primary care clinicians' decisions at the point of care; examine how that information comes to the clinician's attention; and analyze clinician, patient, and encounter characteristics associated with the use of SDOH data in clinical decision making. METHODS: Thirty-eight clinicians working in 21 clinics were prompted to complete 2 short card surveys embedded in the electronic health record (EHR) daily for 3 weeks. Survey data were matched with clinician-, encounter-, and patient-level variables from the EHR. Descriptive statistics and generalized estimating equation models were used to assess relationships between the variables and the clinician reported use of SDOH data to inform care. RESULTS: Social determinants of health were reported to influence care in 35% of surveyed encounters. The most common sources of information on patients' SDOH were conversations with patients (76%), prior knowledge (64%), and the EHR (46%). Social determinants of health were significantly more likely to influence care among male and non-English-speaking patients, and those with discrete SDOH screening data documented in the EHR. CONCLUSIONS: Electronic health records present an opportunity to support clinicians integrating information about patients' social and economic circumstances into care planning. Study findings suggest that SDOH information from standardized screening documented in the EHR, combined with patient-clinician conversations, may enable social risk-adjusted care. Electronic health record tools and clinic workflows could be used to support both documentation and conversations. Study results also identified factors that may cue clinicians to include SDOH information in point-of-care decision-making. Future research should explore this topic further.

Social Risk Factor Documentation in Emergency Departments.

STUDY OBJECTIVE: Social Z codes are International Classification of Diseases, Tenth Revision, Clinical Modification codes that provide one way of documenting social risk factors in electronic health records. Despite the utility and availability of these codes, no study has examined social Z code documentation prevalence in emergency department (ED) settings. METHODS: In this descriptive, cross-sectional study of all ED visits included in the 2018 Nationwide Emergency Department Sample, we estimated the prevalence of social Z code documentation and used logistic regression to examine the association between documentation and patient and hospital characteristics. RESULTS: Of more than 35.8 million adult and pediatric ED visits, there was a 1.21% weighted prevalence (n=452,499) of at least 1 documented social Z code. Social Z codes were significantly more likely to be documented in ED visits among patients aged 35 to 64 compared to patients aged 18 to 34 (18.6/1000 [16.9 to 20.4] versus 12.7/1000 [11.5 to 14.0], odds ratio (OR) 1.47 [1.42 to 1.53]), male patients (16.6/1000 [15.1 to 18.2] versus female 8.5/1000 [7.8 to 9.2], OR 1.97 [1.89 to 2.06]), patients with Medicaid compared to patients with private insurance (15.9/1000 [14.4 to 17.6] versus (6.6/1000 [6.0 to 7.2], OR 2.45 [1.30 to 1.63]), and patients who had a Charlson Comorbidity Index≥1 compared to those with a Charlson Comorbidity Index of 0 (ranges 15.0 to 16.6/1000 versus 10.6/1000 [9.6 to 11.7], ORs ranging 1.43 to 1.58). ED visits with a primary diagnosis of mental, behavioral, and neurodevelopmental illness had the strongest positive association with social Z code documentation (85.6/1000 [78.4 to 93.4], OR 10.75 [9.88 to 11.70]) compared to ED visits without this primary diagnosis. CONCLUSION: We found a very low prevalence of social Z code documentation in ED visits nationwide. More systematic social Z code documentation could support targeted social interventions, social risk payment adjustments, and future policy reforms.

Stakeholder perspectives on social screening in US healthcare settings.

BACKGROUND: Evidence on the health impacts of social conditions has led US healthcare systems to consider identifying and addressing social adversity-e.g. food, housing, and transportation insecurity-in care delivery settings. Social screening is one strategy being used to gather patient information about social circumstances at the point of care. While several recent studies describe the rapid proliferation of social screening activities, little work has explored either why or how to implement social screening in clinical settings. Our study objectives were to assess diverse healthcare stakeholder perspectives on both the rationale for social screening and evidence needed to inform practice and policy-relevant implementation decisions. METHODS: We convened five focus groups with US experts representing different stakeholder groups: patient advocates, community-based organizations, healthcare professionals, payers, and policymakers. In total, 39 experts participated in approximately 90-minute long focus groups conducted between January-March 2021. A inductive thematic analysis approach was used to analyze discussions. RESULTS: Three themes emerged from focus groups, each reflecting the tension between the national enthusiasm for screening and existing evidence on the effectiveness and implementation of screening in clinical settings: (1) ambiguity about the rationale for social screening; (2) concerns about the relavence of screening tools and approaches, particularly for historically marginalized populations; (3) lack of clarity around the resources needed for implementation and scaling. CONCLUSION: While participants across groups described potential benefits of social screening, they also highlighted knowledge gaps that interfered with realizing these benefits. Efforts to minimize and ideally resolve these knowledge gaps will advance future social screening practice and policy.

What to Do When Everything Happens at Once: Analytic Approaches to Estimate the Health Effects of Co-Occurring Social Policies.

Social policies have great potential to improve population health and reduce health disparities. Increasingly, those doing empirical research have sought to quantify the health effects of social policies by exploiting variation in the timing of policy changes across places. Multiple social policies are often adopted simultaneously or in close succession in the same locations, creating co-occurrence that must be handled analytically for valid inferences. Although this is a substantial methodological challenge for researchers aiming to isolate social policy effects, only in a limited number of studies have researchers systematically considered analytic solutions within a causal framework or assessed whether these solutions are being adopted. We designated 7 analytic solutions to policy co-occurrence, including efforts to disentangle individual policy effects and efforts to estimate the combined effects of co-occurring policies. We used an existing systematic review of social policies and health to evaluate how often policy co-occurrence is identified as a threat to validity and how often each analytic solution is applied in practice. Of the 55 studies, only in 17 (31%) did authors report checking for any co-occurring policies, although in 36 studies (67%), at least 1 approach was used that helps address policy co-occurrence. The most common approaches were adjusting for measures of co-occurring policies; defining the outcome on subpopulations likely to be affected by the policy of interest (but not other co-occurring policies); and selecting a less-correlated measure of policy exposure. As health research increasingly focuses on policy changes, we must systematically assess policy co-occurrence and apply analytic solutions to strengthen studies on the health effects of social policies.

Financing Approaches to Social Prescribing Programs in England and the United States.

Policy Points The number of social prescribing practices, which aim to link patients with nonmedical services and supports to address patients' social needs, is increasing in both England and the United States. Traditional health care financing mechanisms were not designed to support social prescribing practices, and flexible payment approaches may not support their widespread adoption. Policymakers in both countries are shifting toward developing explicit financing streams for social prescribing programs. Consequently, we need an evaluation of them to assess their success in supporting both the acceptance of these programs and their impacts. Investment in community-based organizations and wider public services will likely be crucial to both the long-term effectiveness and the sustainability of social prescribing.

Social Care Recommendations in National Diabetes Treatment Guidelines.

PURPOSE OF REVIEW: An expanding body of research documents associations between socioeconomic circumstances and health outcomes, which has led health care institutions to invest in new activities to identify and address patients' social circumstances in the context of care delivery. Despite growing national investment in these "social care" initiatives, the extent to which social care activities are routinely incorporated into care for patients with type II diabetes mellitus (T2D), specifically, is unknown. We conducted a scoping review of existing T2D treatment and management guidelines to explore whether and how these guidelines incorporate recommendations that reflect social care practice categories. RECENT FINDINGS: We applied search terms to locate all T2D treatment and management guidelines for adults published in the US from 1977 to 2021. The search captured 158 national guidelines. We subsequently applied the National Academies of Science, Engineering, and Medicine framework to search each guideline for recommendations related to five social care activities: Awareness, Adjustment, Assistance, Advocacy, and Alignment. The majority of guidelines (122; 77%) did not recommend any social care activities. The remainder (36; 23%) referred to one or more social care activities. In the guidelines that referred to at least one type of social care activity, adjustments to medical treatment based on social risk were most common [34/36 (94%)]. Recommended adjustments included decreasing medication costs to accommodate financial strain, changing literacy level or language of handouts, and providing virtual visits to accommodate transportation insecurity. Ensuring that practice guidelines more consistently reflect social care best practices may improve outcomes for patients living with T2D.

Social Risk Factors and Desire for Assistance Among Patients Receiving Subsidized Health Care Insurance in a US-Based Integrated Delivery System.

PURPOSE: Because social conditions such as food insecurity and housing instability shape health outcomes, health systems are increasingly screening for and addressing patients' social risks. This study documented the prevalence of social risks and examined the desire for assistance in addressing those risks in a US-based integrated delivery system. METHODS: A survey was administered to Kaiser Permanente members on subsidized exchange health insurance plans (2018-2019). The survey included questions about 4 domains of social risks, desire for help, and attitudes. We conducted a descriptive analysis and estimated multivariate modified Poisson regression models. RESULTS: Of 438 participants, 212 (48%) reported at least 1 social risk factor. Housing instability was the most common (70%) factor reported. Members with social risks reported more discomfort being screened for social risks (14.2% vs 5.4%; P = .002) than those without risks, although 90% of participants believed that health systems should assist in addressing social risks. Among those with 1-2 social risks, however, only 27% desired assistance. Non-Hispanic Black participants who reported a social risk were more than twice as likely to desire assistance compared with non-Hispanic White participants (adjusted relative risk [RR] 2.2; 95% CI, 1.3-3.8). CONCLUSIONS: Athough most survey participants believed health systems have a role in addressing social risks, a minority of those reporting a risk wanted assistance and reported more discomfort being screened for risk factors than those without risks. Health systems should work to increase the comfort of patients in reporting risks, explore how to successfully assist them when desired, and offer resources to address these risks outside the health care sector.VISUAL ABSTRACT.

Social risks and social needs in a health insurance exchange sample: a longitudinal evaluation of utilization.

BACKGROUND: Health systems are increasingly attempting to intervene on social adversity as a strategy to improve health care outcomes. To inform health system efforts to screen for social adversity, we sought to explore the stability of social risk and interest in assistance over time and to evaluate whether the social risk was associated with subsequent healthcare utilization. METHODS: We surveyed Kaiser Permanente members receiving subsidies from the healthcare exchange in Southern California to assess their social risk and desire for assistance using the Accountable Health Communities instrument. A subset of initial respondents was randomized to be re-surveyed at either three or six months later. RESULTS: A total of 228 participants completed the survey at both time points. Social risks were moderate to strongly stable across three and six months (Kappa range = .59-.89); however, social adversity profiles that included participants' desire for assistance were more labile (3-month Kappa = .52; 95% CI = .41-.64 & 6-month Kappa = .48; 95% CI = .36-.6). Only housing-related social risks were associated with an increase in acute care (emergency, urgent care) six months after initial screening; no other associations between social risk and utilization were observed. CONCLUSIONS: This study suggests that screening for social risk may be appropriate at intervals of six months, or perhaps longer, but that assessing desire for assistance may need to occur more frequently. Housing risks were associated with increases in acute care. Health systems may need to engage in screening and referral to resources to improve overall care and ultimately patient total health.

Identifying Relative Changes in Social Risk Factors: An Analytic Approach.

BACKGROUND: Individuals often report concurrent social risk factors such as food insecurity, unstable housing, and transportation barriers. Comparing relative changes between pairs of social risk factors may identify those that are more resistant to change. OBJECTIVE: The objective of this study was to develop a method to describe relative changes in pairs of social risk factors. RESEARCH DESIGN: This was a prospective cohort study. SUBJECTS: Participants in a randomized controlled trial of hypertension care in an Urban Indian Health Organization. MEASURES: We measured 7 social risk factors (housing, transportation, food, clothing, health care, utilities, and debts) at enrollment, 6, and 12 months among 295 participants in the trial. We hypothesized that pairwise comparisons could identify social risk factors that were less likely to change over time. We used conditional odds ratios (ORs) with 95% confidence intervals (CIs) to rank each pair. RESULTS: Food, clothing, health care, utilities, and debts had more changes between 0 and 6 months relative to housing (OR=2.3, 3.4, 4.7, 3.5, and 3.4, respectively; all 95% CI excluded 1.0). These same social risk factors also had more changes between baseline and 6 months relative to transportation (OR=2.8, 3.4, 4.9, 4.7, and 4.1, respectively; all 95% CI excluded 1.0). Changes in housing and transportation risk factors were comparable (OR=0.7, 95% CI: 0.4-1.4). Relative changes between 6 and 12 months were similar. CONCLUSIONS: Housing and transportation exhibited fewer relative changes than other social risk factors and might be more resistant to change. Awareness of the relationships between social risk factors can help define priorities for intervention.

The National Academy of Medicine Social Care Framework and COVID-19 Care Innovations.

Despite social care interventions gaining traction in the US healthcare sector in recent years, the scaling of healthcare practices to address social adversity and coordinate care across sectors has been modest. Against this backdrop, the coronavirus pandemic arrived, which re-emphasized the interdependence of the health and social care sectors and motivated health systems to scale tools for identifying and addressing social needs. A framework on integrating social care into health care delivery developed by the National Academies of Science, Engineering, and Medicine provides a useful organizing tool to understand the social care integration innovations spurred by COVID-19, including novel approaches to social risk screening and social care interventions. As the effects of the pandemic are likely to exacerbate socioeconomic barriers to health, it is an appropriate time to apply lessons learned during the recent months to re-evaluate efforts to strengthen, scale, and sustain the health care sector's social care activities.

Patient Experiences with Screening and Assistance for Social Isolation in Primary Care Settings.

BACKGROUND: Social isolation is a known predictor of mortality that disproportionately affects vulnerable populations in the USA. Although experts began to recognize it as a public health crisis prior to 2020, the novel coronavirus pandemic has accelerated recognition of social isolation as a serious threat to health and well-being. OBJECTIVE: Examine patient experiences with screening and assistance for social isolation in primary care settings, and whether patient experiences with these activities are associated with the severity of reported social isolation. DESIGN: Cross-sectional survey conducted in 2018. PARTICIPANTS: Adults (N = 251) were recruited from 3 primary care clinics in Boston, Chicago, and San Francisco. MAIN MEASURES: A modified version of the Berkman-Syme Social Network Index (SNI), endorsed by the National Academies of Sciences, Engineering, and Medicine; items to assess for prior experiences with screening and assistance for social isolation. KEY RESULTS: In the sample population, 12.4% reported the highest levels of social isolation (SNI = 0/1), compared to 36.7%, 34.7%, and 16.3% (SNI = 2-4, respectively). Most patients had not been asked about social isolation in a healthcare setting (87.3%), despite reporting no discomfort with social isolation screening (93.9%). Neither discomfort with nor participation in prior screening for social isolation was associated with social isolation levels. Desire for assistance with social isolation (3.2%) was associated with a higher level of social isolation (AOR = 6.0, 95% CI, 1.3-28.8), as well as poor or fair health status (AOR = 9.1; 95% CI, 1.3-64.1). CONCLUSIONS: In this study, few patients reported being screened previously for social isolation in a primary care setting, despite low levels of discomfort with screening. Providers should consider broadening social isolation screening and referral practices in healthcare settings, especially among sicker and more isolated patients who express higher levels of interest in assistance with social isolation.

Association of Financial Worry and Material Financial Risk with Short-Term Ambulatory Healthcare Utilization in a Sample of Subsidized Exchange Patients.

BACKGROUND: Financial burden can affect healthcare utilization. Few studies have assessed the short-term associations between material (debt, trouble paying rent) and psychological (worry or distress about affording future healthcare) financial risks, and subsequent outpatient and emergency healthcare use. Worry was defined as concerns about affording future healthcare. OBJECTIVE: Examine whether worry about affording healthcare is associated with healthcare utilization when controlling for material risk and general anxiety DESIGN: Longitudinal observational study PARTICIPANTS: Kaiser Permanente members with exchange-based federally subsidized health insurance (n = 450, 45% response rate) MAIN MEASURES: Survey measures of financial risks (material difficulty paying for medical care and worry about affording healthcare) and general anxiety. Healthcare use (primary care, urgent care, emergency department, and outpatient specialty visits) in the 6 months following survey completion. KEY RESULTS: Emergency department and primary care visits were not associated with material risk, worry about affording care, or general anxiety in individual and pooled analyses (all 95% confidence intervals (CI) for relative risk (RR) included 1). Although no individual predictor was associated with urgent care use (all 95% CIs for RR included 1), worry about affording prescriptions (relative risk (RR) = 2.01; 95% CI 1.14, 3.55) and general anxiety (RR = 0.38; 95% CI 0.15, 0.95) were significant when included in the same model, suggesting the two confounded each other. Worry about affording healthcare services was associated with fewer specialty care visits (RR = 0.40; 95% CI 0.25, 0.64) even when controlling for material risk and general anxiety, although general anxiety was also associated with more specialty care visits (RR = 1.98; 95% CI, 1.23, 3.18). CONCLUSIONS: Screening for both general anxiety and financial worry may assist with specialty care utilization. Identifying these concerns may provide more opportunities to assist patients. Future research should examine interventions to reduce worry about cost of care.

Salivary cytokine cluster moderates the association between caregivers perceived stress and emotional functioning in youth.

Some individuals exposed to early life stress show evidence of enhanced systemic inflammation and are at greater risk for psychopathology. In the current study, caregivers and their offspring (0-17 years) were recruited at a pediatric clinic visit at the University of California, San Francisco (UCSF). Mothers and seven-year-old children from the Growing Up inSingaporeTowards healthy Outcomes (GUSTO) prospective birth cohort were used as a replication cohort. Caregivers perceived stress was measured to determine potential intergenerational effects on the children's functioning and inflammation levels. Children's emotional functioning in the UCSF cohort was evaluated using the Pediatric Quality of Life (PedsQL) inventory. Child emotional and behavioral functioning was measured using the Child Behavior Checklist (CBCL) in GUSTO. Saliva was collected from the children and salivary levels of IL-6, IL-1ß, IL-8 and TNF-α were measured using an electrochemiluminescent cytokine multiplex panel. Child IL-6, IL-1ß, IL-8 cytokine levels were clustered into low, average, and high cytokine cluster groups using hierarchical cluster analysis. We did not find that salivary cytokine clusters were significantly associated with children's emotional or behavioral function. However, cytokine clusters did significantly moderate the association between increased caregiver perceived stress and reduced child emotional functioning (UCSF cohort) and increased Attention-Deficit-Hyperactivity (ADH) problems (GUSTO cohort, uncorrected Cohen's F2 = 0.02). Using a cytokine clustering technique may be useful in identifying those children exposed to increased caregiver perceived stress that are at risk of emotional and attention deficit hyperactivity problems.

Applying Lessons From Behavioral Health Integration to Social Care Integration in Primary Care.

Interest and incentives are increasing around strategies whereby the health care sector can better identify and address patients' social and economic needs in the context of primary care delivery. This interest is likely to accelerate during the economic recession following the OVID-19 pandemic. Yet effective and sustainable strategies for integrating social care practices (eg, patient-facing social risk screening and activities to address identified needs) have not been clearly established. Lessons learned from more than 2 decades of research on behavioral health integration could be applied to efforts to integrate social care into primary care. In this article, we synthesize learnings from primary care and behavioral health care integration, and translate them into organizing principles with the goal of advancing social care integration practices to improve the health of both patients and communities.