Introduction: This study aimed to better understand patient and caregiver perspectives on social risk screening across different healthcare settings. Methods: As part of a mixed-methods multisite study, the authors conducted semistructured interviews with a subset of adult patients and adult caregivers of pediatric patients who had completed the Center for Medicare and Medicaid Innovation Accountable Health Communities social risk screening tool between July 2018 and February 2019. Interviews, conducted in English or Spanish, asked about reactions to screening, screening acceptability, preferences for administration, prior screening experiences that informed perspectives, and expectations for social assistance. Basic thematic analysis and constant comparative methods were used to code and develop themes. Results: Fifty interviews were conducted across 10 study sites in 9 states, including 6 primary care clinics and 4 emergency departments. There was broad consensus among interviewees across all sites that social risk screening was acceptable. The following 4 main themes emerged: (1) participants believed screening for social risks is important; (2) participants expressed insight into the connections between social risks and overall health; (3) participants emphasized the importance of patient-centered implementation of social risk screening; and (4) participants recognized limits to the healthcare sector's capacity to address or resolve social risks.

Introduction: Despite recent growth in healthcare delivery-based social risk screening, little is known about patient perspectives on these activities. This study evaluates patient and caregiver acceptability of social risk screening. Methods: This was a cross-sectional survey of 969 adult patients and adult caregivers of pediatric patients recruited from 6 primary care clinics and 4 emergency departments across 9 states. Survey items included the Center for Medicare and Medicaid Innovation Accountable Health Communities' social risk screening tool and questions about appropriateness of screening and comfort with including social risk data in electronic health records. Logistic regressions evaluated covariate associations with acceptability measures. Data collection occurred from July 2018 to February 2019; data analyses were conducted in February-March 2019. Results: Screening was reported as appropriate by 79% of participants; 65% reported comfort including social risks in electronic health records. In adjusted models, higher perceived screening appropriateness was associated with previous exposure to healthcare-based social risk screening (AOR=1.82, 95% CI=1.16, 2.88), trust in clinicians (AOR=1.55, 95% CI=1.00, 2.40), and recruitment from a primary care setting (AOR=1.70, 95% CI=1.23, 2.38). Lower appropriateness was

Introduction: Screening and referral for Social and Behavioral Determinants of Health (SDOH) are increasingly recommended in clinical guidelines and consensus statements. It is important to understand barriers and facilitators to implementation of standardized SDOH screening and referral practices, as well as the scope of current existing SDOH screening.Methods: We conducted a mixed-methods study to understand the current state of SDOH screening and to assess the barriers and facilitators to implementing a standardized SDOH screening and referral practice in Boston community health centers (CHCs) for pediatric patients. We requested all SDOH screening documents from 15 Boston CHCs and conducted provider and staff focus groups at intervention sites of an SDOH implementation pilot in Boston.Results: All CHCs screened in some form for SDOH, but there was no agreement on which domains to screen. Participating CHCs screened for a mean of 8 SDOH domains (range, 5 to 16). Overall, 16 SDOH domains emerged. From the focus groups, 5 themes emerged: 1) provider perspectives, 2) work flow, 3) prior experience, 4) site resources and staffing, and 5) sustainability. There was little agreement among participants within each theme, as all were seen as barriers and facilitators depending on the respondent.Discussion: This study highlights the various SDOH screening methods currently used in Boston CHCs, and the need for workflow and process individualization of SDOH screening and referral. Providers and clinical staff should be part of the discussion when implementing SDOH screening and referral procedures to ensure appropriate work flow, staff buy-in, and to maximize resources available. (J Am Board Fam Med 2019;32:297-306.)

IMPORTANCE Health care organizations are increasingly incorporating social risk screening into patient care. Studies have reported wide variations in patients' interest in receiving health carebased 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 carebased 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, (continued) Key Points Question Are specific social risk factors associated...

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Objectives To determine to what extent racial and ethnic variation in Medicare spending during the last six months of life are explained by demographic, social support, socioeconomic, geographic, medical and EOL planning factors. Design Retrospective cohort study Setting Health and Retirement Study (HRS) Participants 7,105 decedents who participated in the Health and Retirement Study between 1998–2012 and previously consented to survey linkage with Medicare claims. Measurements Total Medicare expenditures in the last 180 days of life by race and ethnicity, controlling for demographic factors, social supports, geography, illness burden, and EOL planning factors including presence of advance directives, discussion of EOL treatment preferences, and whether death had been expected. Results Our analysis included 5548 (78.1%) non-Hispanic white, 1030 (14.5%) non-Hispanic black, 331 (4.7%) Hispanic, and 196 (2.8%) adults of other race/ethnicity. Unadjusted results suggest that average Medicare expenditures for black decedents was $13,522 (35%, p <0.001) more than for whites, while Medicare expenditures for Hispanics was $16,341 (42%, p<0.001) more at EOL. Controlling for demographic, socioeconomic, geographic, medical and EOL specific factors, the Medicare expenditure difference between groups reduced to $8,047 (22%, p<0.001) more for black and $6,855 (19%, p<0.001) more for Hispanic decedents compared to non-Hispanic whites’ expenditures. The expenditure differences between groups remained statistically significant across all models. Conclusion Racial and ethnic differences in Medicare spending in the last six months of life are not fully explained by patient-level factors, including EOL planning factors. Future research should focus on broader systemic, organizational and provider level factors to explain these differences.

There is a significant, fourfold variation in the annual rate of medical board physician disciplinary action by state in the USA. When indicated, state medical boards should consider policies aimed at improving standardisation and coordination to provide consistent supervision to physicians and ensure public safety.

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