Smoking Cessation Support in the Context of Other Social and Behavioral Needs in Community Health Centers.

BACKGROUND: Cigarette smoking rates remain disproportionately high among low income populations with unmet social and behavioral health needs. To address this problem, we sought to develop and evaluate the feasibility, acceptability, and preliminary effectiveness of a novel smoking cessation program for community health centers that serve these populations. METHODS: We implemented a randomized pilot trial of two smoking cessation programs in three county operated community health center (CHC) sites: (1) a systematic assessment of smoking habits and standard tools to assist with smoking cessation counseling ("Enhanced Standard Program" or ESP), and (2) another that added a structured assessment of social and behavioral barriers to smoking cessation, ("Connection to Health for Smokers" or CTHS). Clinical outcomes were evaluated between 10 to 16 weeks, supplemented with interviews of patient participants and health care team members. RESULTS: 141 adults were randomized and 123 completed the intervention (61 in ESP, 62 in CTHS). At follow-up, over half of participants reported ≥1 quit attempts (59.7% ESP and 56.5% CTHS; adjusted p = .66) while more in ESP (24.6% vs. 12.9%) were documented as not smoking in the last 7 days (adjusted p = 0.03). In addition to being in ESP, predictors of smoking cessation included higher baseline confidence in ability to quit (p = 0.02) and more quit attempts during the study (p = 0.04). Health care teams, however, generally preferred the more comprehensive approach of CTHS. CONCLUSION: Lessons learned from this pilot study may inform the development of effective smoking cessation programs for CHCs that combine elements of both interventions.

A novel approach to understanding and assessing the emotional side of type 1 diabetes: The Type 1-Diabetes Distress Assessment System.

AIMS: To describe the development of a novel, conceptually sound instrument with contemporary content for assessing diabetes distress (DD) among adults with type 1 diabetes. METHODS: Qualitative interviews with 15 adults and 7 clinicians were used to develop Core (intensity of DD emotional burden) and primary Source (key DD contributors) items. These were administered to a national sample recruited from the TCOYD Research Registry, T1D Exchange and our previous studies. Exploratory and confirmatory factor analyses were undertaken, along with reliability and construct validity studies, and cut-point analyses to determine elevated DD. RESULTS: Analyses based on 650 respondents yielded an 8-item Core DD scale (α = 0.95) and 10 2- or 3-item DD Source Scales (α range = 0.53-0.88): Financial Worries, Interpersonal Challenges, Management Difficulties, Shame, Hypoglycemia Concerns, Healthcare Quality, Lack of Diabetes Resources, Technology Challenges, Burden to Others and Worries about Complications. Core and Source scores were significantly associated with criterion variables: Higher DD scores were significantly linked with higher HbA1C , more frequent episodes of severe hypoglycaemia, missed boluses, and poorer quality of life (p > 0.001). A ≥2.0 scale cut-point to define elevated DD is suggested. CONCLUSIONS: The new T1-Diabetes Distress Assessment System demonstrated good reliability and validity, and with measures of both Core emotional burden and Sources of DD, it provides a contemporary, flexible and practical approach to assessing DD that can be used seamlessly to inform intervention for clinicians and researchers.

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.

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.

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.

The status of person-centered contraceptive care in the United States: Results from a nationally representative sample.

CONTEXT: The Person-Centered Contraceptive Care measure (PCCC) evaluates patient experience of contraceptive counseling, a construct not represented within United States surveillance metrics of contraceptive care. We explore use of PCCC in a national probability sample and examine predictors of person-centered contraceptive care. METHODS: Among 2228 women from the 2017-2019 National Survey of Family Growth who reported receiving contraceptive care in the last year, we conducted univariate and multivariable linear regression to identify associations between individual characteristics and PCCC scores. RESULTS: PCCC scores were high ( x ¯ : 17.84, CI: 17.59-18.08 on a 4-20 scale), yet varied across characteristics. In adjusted analyses, Hispanic identity with Spanish language primacy and non-Hispanic other or multiple racial identities were significantly associated with lower average PCCC scores compared to those of non-Hispanic white identity (B = -1.232 [-1.970, -0.493]; B = -0.792 [-1.411, -0.173]). Gay, lesbian, or bisexual identity was associated with lower average PCCC scores compared to heterosexual (B = -0.673 [-1.243, -0.103]). PCCC scores had a positive association with incomes of 150%-299% and ≥300% of the federal poverty level compared to those of income <150% (150%-299%: B = 0.669 [0.198, 1.141]; ≥300%: B = 0.892 [0.412, 1.372]). Cannabis use in the past year was associated with lower PCCC scores (B = -0.542 [-0.971, -0.113]). CONCLUSIONS: The PCCC can capture differential experiences of contraceptive care to monitor patient experience and to motivate and track care quality over time. Differences in reported quality of care have implications for informing national priorities for contraceptive care improvements.

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.

Unmet Social Needs and Patterns of Hair Cortisol Concentration in Mother-Child Dyads.

Background: Mothers and their children demonstrate dyadic synchrony of hypothalamic-pituitary-adrenal (HPA) axis function, likely influenced by shared genetic or environmental factors. Although evidence has shown that chronic stress exposure has physiologic consequences for individuals-including on the HPA axis-minimal research has explored how unmet social needs such as food and housing instability may be associated with chronic stress and HPA axis synchrony in mother-child dyads. Methods: We conducted a secondary analysis of data from 364 mother-child dyads with low-income recruited during a randomized trial conducted in an urban pediatric clinic. We used latent profile analysis (LPA) to identify subgroups based on naturally occurring patterns of within-dyad hair cortisol concentration (HCC). A logistic regression model predicted dyadic HCC profile membership as a function of summative count of survey-reported unmet social needs, controlling for demographic and health covariates. Results: LPA of HCC data from dyads revealed a 2-profile model as the best fit. Comparisons of log HCC for mothers and children in each profile group resulted in significantly "higher dyadic HCC" versus "lower dyadic HCC" profiles (median log HCC for mothers: 4.64 vs 1.58; children: 5.92 vs 2.79, respectively; P < .001). In the fully adjusted model, each one-unit increase in number of unmet social needs predicted significantly higher odds of membership in the higher dyadic HCC profile when compared to the lower dyadic HCC profile (odds ratio = 1.13; 95% confidence interval [1.04-1.23]; P = .01). Conclusion: Mother-child dyads experience synchronous patterns of physiologic stress, and an increasing number of unmet social needs is associated with a profile of higher dyadic HCC. Interventions aimed at decreasing family-level unmet social needs or maternal stress are, therefore, likely to affect pediatric stress and related health inequities; efforts to address pediatric stress similarly may affect maternal stress and related health inequities. Future research should explore the measures and methods needed to understand the impact of unmet social needs and stress on family dyads.

Association of Health-Related Social Needs With Quality and Utilization Outcomes in a Medicare Advantage Population With Diabetes.

Importance: Recent research highlights the association of social determinants of health with health outcomes of patients with type 2 diabetes (T2D). Objective: To examine associations between health-related social needs (HRSNs) and health care quality and utilization outcomes in a Medicare Advantage population with T2D. Design, Setting, and Participants: This cross-sectional study used medical and pharmacy claims data from 2019. An HRSN survey was given between October 16, 2019, and February 29, 2020, to Medicare Advantage beneficiaries. Inclusion criteria were diagnosis of T2D, age of 20 to 89 years, continuous Medicare Advantage enrollment in 2019, and response to the HRSN survey. Data were analyzed between June 2021 and January 2022. Exposures: Enrollment in Medicare Advantage, diagnosis of T2D, and completion of a survey on HRSNs. Main Outcomes and Measures: Quality outcomes included diabetes medication adherence, statin adherence, completion of a glycated hemoglobin (HbA1c) laboratory test in the past 12 months, and controlled HbA1c. Utilization outcomes included all-cause hospitalization, potentially avoidable hospitalization, emergency department discharge, and readmission. Results: Of the 21 528 Medicare Advantage beneficiaries with T2D included in the study (mean [SD] age, 71.0 [8.3] years; 55.4% women), most (56.9%) had at least 1 HRSN. Among the population with T2D reporting HRSNs, the most prevalent were financial strain (73.6%), food insecurity (47.5%), and poor housing quality (39.1%). In adjusted models, loneliness (odds ratio [OR], 0.85; 95% CI, 0.73-0.99), lack of transportation (OR, 0.80; 95% CI, 0.69-0.92), utility insecurity (OR, 0.86; 95% CI, 0.76-0.98), and housing insecurity (OR, 0.78; 95% CI, 0.67-0.91) were each associated with lower diabetes medication adherence. Loneliness and lack of transportation were associated with increased emergency visits (marginal effects of 173.0 [95% CI, 74.2-271.9] and 244.6 [95% CI, 150.4-338.9] emergency visits per 1000 beneficiaries for loneliness and transportation, respectively). Food insecurity was the HRSN most consistently associated with higher acute care utilization (marginal effects of 84.6 [95% CI, 19.8-149.4] emergency visits, 30.4 [95% CI, 9.5-51.3] inpatient encounters, and 17.1 [95% CI, 4.7-29.5] avoidable hospitalizations per 1000 beneficiaries). Conclusions and Relevance: In this cross-sectional study of Medicare Advantage beneficiaries with T2D, some HRSNs were associated with care quality and utilization. The results of the study may be used to direct interventions to the social needs most associated with T2D health outcomes and inform policy decisions at the insurance plan and community level.

Partner-developed electronic health record tools to facilitate social risk-informed care planning.

OBJECTIVE: Increased social risk data collection in health care settings presents new opportunities to apply this information to improve patient outcomes. Clinical decision support (CDS) tools can support these applications. We conducted a participatory engagement process to develop electronic health record (EHR)-based CDS tools to facilitate social risk-informed care plan adjustments in community health centers (CHCs). MATERIALS AND METHODS: We identified potential care plan adaptations through systematic reviews of hypertension and diabetes clinical guidelines. The results were used to inform an engagement process in which CHC staff and patients provided feedback on potential adjustments identified in the guideline reviews and on tool form and functions that could help CHC teams implement these suggested adjustments for patients with social risks. RESULTS: Partners universally prioritized tools for social risk screening and documentation. Additional high-priority content included adjusting medication costs and changing follow-up plans based on reported social risks. Most content recommendations reflected partners' interests in encouraging provider-patient dialogue about care plan adaptations specific to patients' social needs. Partners recommended CDS tool functions such as alerts and shortcuts to facilitate and efficiently document social risk-informed care plan adjustments. DISCUSSION AND CONCLUSION: CDS tools were designed to support CHC providers and staff to more consistently tailor care based on information about patients' social context and thereby enhance patients' ability to adhere to care plans. While such adjustments occur on an ad hoc basis in many care settings, these are among the first tools designed both to systematize and document these activities.

Social Needs and Acculturation as Predictors of Emotional Problems and Perceived Stress Among Latinx Mothers with Low Income.

Associations between household social needs, acculturation, and emotional health remain understudied, particularly among Latinx mothers. We analyzed baseline survey data from 455 Latinx mothers in a previous study. Using multinomial regression, we examined whether emotional problems and perceived stress were associated with household social needs and acculturation. Almost half the sample reported four or more household social needs. Social needs cumulatively and independently predicted increased odds of frequent emotional problems or perceived stress. Lower acculturation predicted lower odds of frequent emotional problems. There is increased risk for emotional problems and stress in low-income Latinx mothers who experience high social need. Integrated social service and mental health care models may be one way to improve health outcomes. More research is needed to understand how clinical settings can leverage unique cultural protective factors to address the social and emotional health needs of Latinx mothers.

Addressing tobacco use in the context of complex social needs: A new conceptual framework and approach to address smoking cessation in community health centers.

Objective: This article presents a new conceptual framework "Connection to Health for Smokers" (CTHS), its application to address smoking cessation, and its acceptability in community health centers (CHCs). Methods: CTHS, an online interactive patient educational tool comprehensively implements the "5 A's" (ask, advise, assess, assist, and arrange) within the context of patients' social and behavioral health needs. Semi-structured interviews were conducted with five health educators (nurses) who administered CTHS with 62 patients to evaluate the acceptability of the program. Thematic analyses were conducted with interview transcripts. Results: CHC health educators viewed CTHS has enhanced patient-centered communication, was able to identify patients' needs beyond tobacco use, and individualize action planning to integrate social and behavioral health needs. Conclusion: CTHS received enthusiasm from CHC health educators as a helpful tool to address tobacco use among their patients. Comprehensive on-site smoking cessation programs at CHCs that provide a structured evidence-based approach informed by an understanding of each patient's coexisting social and behavioral health needs may play an important role in reducing tobacco use disparities in the United States. Innovation: CTHS offers a new promising framework to comprehensively integrate the 5A's within the context of social and behavioral determinants of health for smoking cessation.

Toward a more comprehensive understanding of the emotional side of type 2 diabetes: A re-envisioning of the assessment of diabetes distress.

AIMS: To develop an updated, more theoretically sound system for describing and assessing diabetes-related emotional distress (DD) in adults with type 2 diabetes (T2D). METHODS: Items were developed from qualitative interviews with 11 adults with T2D and 6 clinicians, then categorized as reflecting a core emotional experience of DD or a primary source of DD. Items were then administered to a national sample of TCOYD Registry participants. Data were analyzed using both exploratory (EFA) and confirmatory (CFA) factor analyses. Reliability (alpha) and construct validity also were assessed. RESULTS: EFAs with 599 adults (258 insulin users, 341 non-insulin users) yielded a coherent DD Core scale and 7 DD Source scales (management demands, healthcare provider, hypoglycemia, long-term health, interpersonal issues, shame/stigma, healthcare access), which were confirmed by CFA. All alphas were >0.65. DD Core and DD Source scales were associated with criterion variables (all p < .001). Higher DD Core scores were linked to higher HbA1c, BMI, more frequent severe hypoglycemia, and poorer self-management (all p < .001). CONCLUSIONS: Good reliability and validity were found for this two-part T2DD Assessment System. It reflects a more contemporary and actionable approach to DD assessment that distinguishes between its key emotional dimension and its underlying contributors.

Using Electronic Health Record-Based Clinical Decision Support to Provide Social Risk-Informed Care in Community Health Centers: Protocol for the Design and Assessment of a Clinical Decision Support Tool.

BACKGROUND: Consistent and compelling evidence demonstrates that social and economic adversity has an impact on health outcomes. In response, many health care professional organizations recommend screening patients for experiences of social and economic adversity or social risks-for example, food, housing, and transportation insecurity-in the context of care. Guidance on how health care providers can act on documented social risk data to improve health outcomes is nascent. A strategy recommended by the National Academy of Medicine involves using social risk data to adapt care plans in ways that accommodate patients' social risks. OBJECTIVE: This study's aims are to develop electronic health record (EHR)-based clinical decision support (CDS) tools that suggest social risk-informed care plan adaptations for patients with diabetes or hypertension, assess tool adoption and its impact on selected clinical quality measures in community health centers, and examine perceptions of tool usability and impact on care quality. METHODS: A systematic scoping review and several stakeholder activities will be conducted to inform development of the CDS tools. The tools will be pilot-tested to obtain user input, and their content and form will be revised based on this input. A randomized quasi-experimental design will then be used to assess the impact of the revised tools. Eligible clinics will be randomized to a control group or potential intervention group; clinics will be recruited from the potential intervention group in random order until 6 are enrolled in the study. Intervention clinics will have access to the CDS tools in their EHR, will receive minimal implementation support, and will be followed for 18 months to evaluate tool adoption and the impact of tool use on patient blood pressure and glucose control. RESULTS: This study was funded in January 2020 by the National Institute on Minority Health and Health Disparities of the National Institutes of Health. Formative activities will take place from April 2020 to July 2021, the CDS tools will be developed between May 2021 and November 2022, the pilot study will be conducted from August 2021 to July 2022, and the main trial will occur from December 2022 to May 2024. Study data will be analyzed, and the results will be disseminated in 2024. CONCLUSIONS: Patients' social risk information must be presented to care teams in a way that facilitates social risk-informed care. To our knowledge, this study is the first to develop and test EHR-embedded CDS tools designed to support the provision of social risk-informed care. The study results will add a needed understanding of how to use social risk data to improve health outcomes and reduce disparities. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/31733.

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.

Screening for Interpersonal Violence: Missed Opportunities and Potential Harms.

INTRODUCTION: Screening for interpersonal violence is used in healthcare settings to identify patients experiencing violence. However, using unvalidated screening tools may misclassify patients' experience with violence. The Center for Medicare & Medicaid Innovation adapted a previously validated intimate partner violence screening tool for use in assessing interpersonal violence and retained the tool's original scoring rubric, despite the new tool's broader scope. This study evaluates the scoring system for detecting safety concerns. METHODS: This was a cross-sectional survey of a convenience sample of adult patients and caregivers of pediatric patients at 7 primary care clinics and 4 emergency departments (2018-2019). Surveys included the adapted 4-item Hurt Insult Threat Scream tool. Questions are scored by frequency on a Likert scale (1=never; 5=frequently). Scores of 11-20 are considered positive for safety concerns. Two-sided Fisher's exact tests were used for descriptive analyses. Data analyses occurred in 2019-2020. RESULTS: Of 1,014 participants, 66 (6.5%) reported any frequency of physical violence. Of these, 54 (81.8%) did not reach the threshold score of 11. Of the 1,014 participants, 93 (9.2%) reported any frequency of physical violence or being threatened with harm; 76 of 93 participants (81.7%) scored <11. CONCLUSIONS: Using the original scoring criteria for the adapted Hurt Insult Threat Scream, >80% of participants reporting physical violence did not screen positive for potential safety concerns. The scoring criteria did not reliably identify participants experiencing or at high risk for violence. To improve patient safety, the adapted Hurt Insult Threat Scream scoring rubric should be updated on the basis of stakeholder input and additional validation studies.

The early impact of the COVID-19 pandemic on adults with type 1 or type 2 diabetes: A national cohort study.

AIMS: To describe the effects of the COVID-19 pandemic on adults with T1D or T2D in the U.S. METHODS: Participants, recruited from the Taking Control of Your Diabetes Research Registry, were ≥19 years old and diagnosed with either T1D or T2D for ≥12 months. Participants completed an online survey on a HIPAA-protected platform. RESULTS: Completed surveys were received from 763 T1Ds and 619 T2Ds. Average T1D age was 53.3 (SD = 15.3); average T2D age was 64.9 (SD = 10.3). Both samples were predominantly female, non-Hispanic white and well-educated. Average self-reported HbA1c was 6.9 (SD = 1.0; 52 mmol/mol) for T1Ds and 7.1 (SD = 1.1; 54 mmol/mol) for T2Ds. About 40% of respondents reported that all of their diabetes healthcare appointments at the time were cancelled or postponed, 40% reported a switch to telehealth appointments and almost half reported lower overall satisfaction with these visits (compared to pre-pandemic). There were widespread increases in general and diabetes-related stress and social isolation, and negative effects on disease management. About 25% reported increases in highs, lows, and glucose variability in both groups. CONCLUSION: There has been a substantive increase in level of diabetes-related and general life stress and social isolation due to the pandemic, with a significant impact on disease management.

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.

Effects of In-Person Navigation to Address Family Social Needs on Child Health Care Utilization: A Randomized Clinical Trial.

Importance: While many organizations endorse screening for social risk factors in clinical settings, few studies have examined the health and utilization effects of interventions to address social needs. Objective: To compare the acute care utilization effects of a written resources handout vs an in-person navigation service intervention to address social needs. Design, Settings, and Participants: In this secondary analysis of a randomized clinical trial, 1809 adult caregivers of pediatric patients seen in primary and urgent care clinics of 2 safety-net hospitals in northern California were recruited between October 13, 2013, and August 27, 2015. Each participating family was randomly assigned to an in-person navigator intervention vs active control to address the family's social needs. Analyses were conducted between February 28, 2018, and September 25, 2019. Interventions: Caregivers either received written information about relevant local resources related to social needs (active control) or met with a patient navigator focused on helping them resolve social needs (navigator intervention). After an initial in-person visit, navigation services included telephone, email, and/or in-person follow-up for up to 3 months. Main Outcome and Measures: Child emergency department visit or hospitalization within 12 months of study enrollment. Results: Among the 1300 caregivers enrolled in the study without missing follow-up data, most spoke English (878 [67.5%]) and were women (1127 [86.7%]), with a mean (SD) age of 33.0 (9.33) years. Most children were aged 0 to 5 years (779 of 1300 [59.9%]), 723 children (55.6%) had Hispanic ethnicity, and 462 children (35.5%) were in excellent health; 840 families (64.6%) were recruited from urgent care. In total, 637 families (49.0%) were randomized to the in-person navigator group and 663 (51.0%) to the active control group. There was no difference in risk of an emergency department visit between the 2 groups. Children enrolled in the in-person navigator group had a decreased risk of hospitalization within 12 months (hazard ratio, 0.59; 05% CI, 0.38-0.94; P = .03), making them 69% less likely to be hospitalized. Conclusions and Relevance: In this randomized clinical trial evaluating heath care utilization effects of programs designed to address social needs among families, children enrolled in the navigation group were significantly less likely to be hospitalized after the intervention but equally likely to have an emergency department visit. These findings strengthen our understanding of the effects of addressing social needs in clinical settings as part of a comprehensive strategy to improve health and reduce health care utilization. Trial Registration: ClinicalTrials.gov Identifier: NCT01939704.

Screening for Park Access during a Primary Care Social Determinants Screen.

While there is evidence that access to nature and parks benefits pediatric health, it is unclear how low-income families living in an urban center acknowledge or prioritize access to parks. METHODS: We conducted a study about access to parks by pediatric patients in a health system serving low-income families. Adult caregivers of pediatric patients completed a survey to identify and prioritize unmet social and economic needs, including access to parks. Univariate and multivariate analyses were conducted to explore associations between lack of access to parks and sociodemographic variables. We also explored the extent to which access to parks competed with other needs. RESULTS: The survey was completed by 890 caregivers; 151 (17%) identified "access to green spaces/parks/playgrounds" as an unmet need, compared to 397 (45%) who endorsed "running out of food before you had money or food stamps to buy more". Being at or below the poverty line doubled the odds ( Odds ratio 1.96, 95% CI 1.16-3.31) of lacking access to a park (reference group: above the poverty line), and lacking a high school degree nearly doubled the odds. Thirty-three of the 151 (22%) caregivers who identified access to parks as an unmet need prioritized it as one of three top unmet needs. Families who faced competing needs of housing, food, and employment insecurity were less likely to prioritize park access (p < 0.001). CONCLUSION: Clinical interventions to increase park access would benefit from an understanding of the social and economic adversity faced by patients.