Social Risk Research Articles

Systematic Review and Prospects on Social Risks of Artificial Intelligence— Visual Analysis Based on CiteSpace Knowledge Graph

As artificial intelligence becomes more and more embedded in human society, it also creates social risks. With the help of CiteSpace software, 200 documents related to social risks of artificial intelligence searched from SSCI and SCI journals from 2000 to 2024 were sorted out to sort out the research progress and hot spots. Research shows that there are currently some highly influential scholars and institutions in the field of artificial intelligence social risks, and the number of relevant studies is increasing year by year. Risk resolution and sustainable development issues of artificial intelligence have become important research directions for the continuous development of artificial intelligence.

The Effect of Information Exposure on Stigma Toward the COVID-19 Patient Mediated by Perceived Risk, Attribution of Blame and Protection Norm Conformity

ABSTRACT This study employed the model of stigma communication (MSC) to analyze how exposure to COVID-19-related information affected stigma-related information sharing about people who contracted COVID-19 during the pandemic and examined the cognitive process of the MSC in a collectivist culture. Based on a survey of 526 social media users during the COVID-19 pandemic in China, the study found that exposure to contact tracing information and pandemic control information had different impact on stigma-related information sharing through a series of cognitive variables. A dual-path model showed that perceived personal risk influenced stigma-related information sharing through attribution of blame toward the infected (the personal path), while perceived social risk influenced stigma-related information sharing through protection norm conformity (the social path). Compared to the personal path, the social path is more salient in shaping stigmatized attitudes and behaviors. The findings and discussions added to our understanding of the intricate stigma communication process in a collectivist culture.

Improvement in the Adaptation and Resilience of the Green Areas of Yerevan City to Climate–Ecological Challenges

The services provided by green infrastructures may lead to a decrease in climate-related ecological, social, and health risks, especially in the urban environment. Consequently, the best guarantee to make this environment as safe as possible is to increase the extent of green areas, taking into consideration the functional importance, and climatic–ecological peculiarities of the area. These are also issues for the Republic of Armenia’s (RA) capital Yerevan. There the current conditions of the green areas of Yerevan city do not meet the expected requirements of the climatic–ecological development of urban areas. The green area per capita is 8 m2, which is unevenly distributed within 12 different administrative districts of Yerevan city. The aim of this research was to study the natural climatic and ecological conditions of Yerevan city and the status of the green areas of the city. The eco-biological indicators of the trees and shrubs growing in Yerevan green areas have been assessed, and the more resilient plant species have been singled out. All 12 administrative districts of Yerevan have been mapped and the green area per capita for each administrative district has been calculated. The received data have been combined with health indicators and suggestions have been made to add green areas in Yerevan according to the functional significance and sustainability of shrubby species and to their decorative and phyto-filtration properties. The city has unfavorable climatic conditions. It is located in the northern section of the subtropical climatic zone and has a distinct dry continental climate. Temperatures above +40 °C are typical, while winter is rather cold and sometimes temperatures may drop below −20 °C (in January 2008, it dropped to −27.6 °C). The amount of atmospheric precipitation has reduced by 9%. The city is counted as one of the driest urban areas of the South Caucasus. The other unfavorable ecological conditions are heavy traffic, the city’s open landfill, the concentration of industrial enterprises, large-scale construction works, etc. The atmospheric concentrations of particulate matter (PM), gases and heavy metals have been detected to exceed the permitted limits. In terms of health care, the death cases due to various diseases (acute respiratory, vascular, and cancer) have increased, which requires complex activities to reduce environmental pollution and to improve the microclimate.

Impact of the COVID-19 pandemic on maxillofacial trauma surgery in Germany - implications from the national DRG database.

The COVID-19 pandemic has affected the personal and social lives of millions of people and also impacted the etiological factors of midfacial trauma such as falls, interpersonal violence or traffic accidents. The aim of this study was to analyze the influence of the COVID-19 pandemic on maxillofacial trauma surgery in the German healthcare system. Nationwide data regarding the national diagnosis-related-group (DRG) inpatient billing system used in all German hospitals was received from the German Federal Statistical Office. Various trauma-associated procedures of the Operation and Procedure Classification System (OPS), a German modification of the International Classification of Medical Procedures (ICPM), were statistically associated with different epidemiological factors between 2012 and 2021. A statistically significant decrease (p < 0.05) in surgeries regarding maxillofacial fractures was registered during the years 2020 and 2021. Young male patients had the largest decline in maxillofacial trauma surgeries during this period (p < 0.05). In contrast. elderly patients 80 years and older showed a dramatic increase in the frequency of fractures in both the midface and the mandible (p < 0.05). During the COVID 19 pandemic there has been a shift in the number, composition and etiology of maxillofacial fracture surgeries. Measures of social distancing and personal risk avoidance had a societal positive effect on the frequency of facial injuries. This stands in contrast to the drastic increase in fractures of elderly people who should be protected primarily by the measures taken. These results can help to understand these influences better in future pandemics. German Clinical Trials Register No: DRKS00032778.

Social support and risk of victimisation: the mediating role of emotional intelligence

ABSTRACT During adolescence, parental and peer support and emotional intelligence (EI) may play a protective role against the risk of becoming a victim of bullying. This study aims to assess the role of perceived parental and peer support in promoting individual EI, reducing the risk of victimisation. The sample consisted of 348 Italian middle and high school students. Victimisation risk, perceived parental and peer support, and EI were measured using questionnaires. A cross-sectional study and a Structural Equation Model with latent variables were conducted to assess the mediating role of EI in perceived parental and peer support and victimisation risk. Results indicated that EI fully mediated the association between perceived parent (β = .20, p ≤ .001) and peer support (β = .10, p ≤ .01) and victimisation risk. These data suggest the need to structure training to promote support in the social and family context to increase students’ EI and thus reduce the risk of victimisation among students.

Patient-centered respectful maternity care: a factor analysis contextualizing marginalized identities, trust, and informed choice

BackgroundIncreasing rates of maternal mortality and morbidity, coupled with ever-widening racial health disparities in maternal health outcomes, indicate that radical improvements need to be made in the delivery of maternity care. This study explored the provision of patient-centered maternity care from the perspective of pregnant and postpartum people; experiences of respect and autonomy were examined through the multi-dimensional contexts of identity, relational trust, and protection of informed choices.MethodsWe conducted primary data collection among individuals who experienced a pregnancy in the five years preceding the survey (N = 484) using the validated Mothers on Respect Index (MORi) and Mothers Autonomy in Decision Making (MADM) scale. We conducted an exploratory factor analysis (EFA) which produced three factor variables: trust, informed choice, and identity. Using these factor variables as dependent variables, we conducted bivariate and multivariate analysis to examine the relationship between these factor variables and social marginalization, as measured by race, disability, justice-involvement, and other social risk factors, such as food and housing insecurity.ResultsResults of our bivariate and multivariate models generally confirmed our hypothesis that increased social marginalization would be associated with decreased experiences of maternity care that was perceived as respectful and protective of individual autonomy. Most notably, AI/AN individuals, individuals who are disabled, and individuals who had at least one social risk factor were more likely to report experiencing identity-related disrespect and violations of their autonomy.ConclusionsIn light of the findings that emphasize the importance of patient identity in their experience in the healthcare system, patient-centered and respectful maternity care must be provided within a broader social context that recognizes unequal power dynamics between patient and provider, historical trauma, and marginalization. Provider- and facility-level interventions that improve patient experiences and health outcomes will be more effective if they are contextualized and informed by an understanding of how patients’ identities and traumas shape their healthcare experience, health-seeking behaviors, and potential to benefit from clinical interventions and therapies.

Structural connectivity at term equivalent age and language in preterm children at 2 years corrected

Abstract We previously reported interhemispheric structural hyperconnectivity bypassing the corpus callosum in children born extremely preterm (EPT, &amp;lt;28 weeks) versus term children. This increased connectivity was positively associated with language performance at 4 to 6 years of age in our prior work. In the present study, we aim to investigate whether this extracallosal connectivity develops in EPT at term-equivalent age (TEA) by leveraging a prospective cohort study of 350 very and extremely preterm infants followed longitudinally in the Cincinnati Infant Neurodevelopment Early Prediction Study. For this secondary analysis, we included only children born EPT and without significant brain injury (n=95). We use higher-order diffusion modeling to assess the degree to which extracallosal pathways are present in EPT infants and predictive of later language scores at 22-26 months corrected age. We compare results obtained from two higher-order diffusion models: generalized q-sampling imaging (GQI) and constrained spherical deconvolution (CSD). Advanced magnetic resonance imaging was obtained at TEA (39-44 weeks post-menstrual age, PMA). For structural connectometry analysis, we assessed the level of correlation between white matter connectivity at the whole brain level at TEA and language scores at 2 years corrected age, controlling for PMA, sex, brain abnormality score, and social risk. For our CSD analyses, we performed connectivity-based fixel enhancement (CBFE), using probabilistic tractography to inform statistical testing of the hypothesis that fiber metrics at TEA relate to language scores at 2 years corrected age after adjusting for covariates. 95 infants were EPT with no significant brain injury. Of these, 53 had complete neurodevelopmental and imaging datasets that passed quality control. In the connectometry analyses adjusted for covariates and multiple comparisons (p&amp;lt;0.05), the following tracks were inversely correlated with language: bilateral cerebellar white matter and middle cerebellar peduncles, bilateral corticospinal tracks, posterior commissure, and the posterior inferior fronto-occipital fasciculus (IFOF). No tracks from the CSD/CBFE analyses remained significant after correction for multiple comparisons. Our findings provide critical information about the ontogeny of structural brain networks supporting language in EPT. Greater connectivity in more posterior tracks that include the cerebellum and connections to the regions of the temporal lobes at TEA appears to be disadvantageous for language development.

Understanding social needs screening and demographic data collection in primary care practices serving Maryland Medicare patients

BackgroundHealth outcomes are strongly impacted by social determinants of health, including social risk factors and patient demographics, due to structural inequities and discrimination. Primary care is viewed as a potential medical setting to assess and address individual health-related social needs and to collect detailed patient demographics to assess and advance health equity, but limited literature evaluates such processes.MethodsWe conducted an analysis of cross-sectional survey data collected from n = 507 Maryland Primary Care Program (MDPCP) practices through Care Transformation Requirements (CTR) reporting in 2022. Descriptive statistics were used to summarize practice responses on social needs screening and demographic data collection. A stepwise regression analysis was conducted to determine factors predicting screening of all vs. a targeted subset of beneficiaries for unmet social needs.ResultsAlmost all practices (99%) reported conducting some form of social needs screening and demographic data collection. Practices reported variation in what screening tools or demographic questions were employed, frequency of screening, and how information was used. More than 75% of practices reported prioritizing transportation, food insecurity, housing instability, financial resource strain, and social isolation.ConclusionsWithin the MDPCP program there was widespread implementation of social needs screenings and demographic data collection. However, there was room for additional supports in addressing some challenging social needs and increasing detailed demographics. Further research is needed to understand any adjustments to clinical care in response to identified social needs or application of data for uses such as assessing progress towards health equity and the subsequent impact on clinical care and health outcomes.

Impact of Chronic Disease Self-Management Program on the Self-Perceived Health of People in Areas of Social Vulnerability in Asturias, Spain

The Chronic Disease Self-Management Program (CDSMP) focuses on a health promotion perspective with a salutogenic approach, reinforcing the pillars of self-efficacy. The aim of this study was to assess the impact of the CDSMP on Self-perceived Health (SPH) in disadvantaged areas of Asturias, España. The study included vulnerable adults with experience of chronic diseases for over six months, along with their caregivers. The intervention consisted of a six-session workshop led by two trained peers. SPH was evaluated by administering the initial item of the SF-12 questionnaire at both baseline and six months post-intervention. To evaluate the variable “Change in SPH” [improvement; remained well; worsening/no improvement (reference category)], global and disaggregated by sex multivariate multinomial logistic regression models were applied. There were 332 participants (mean = 60.5 years; 33.6% were at risk of social vulnerability; 66.8% had low incomes). Among the participants, 22.9% reported an improvement in their SPH, without statistically significant sex-based differences, while 38.9% remained in good health. The global model showed age was linked to decreased “improvement” probability (RRRa = 0.96), and the “remaining well” likelihood drops with social risk (RRRa = 0.42). In men, the probability of “remaining well” decreased by having secondary/higher education (RRRa = 0.25) and increased by cohabitation (RRRa = 5.11). Women at social risk were less likely to report “remaining well” (RRRa = 0.36). In conclusion, six months after the intervention, 22.9% of the participants had improved SPH. Age consistently decreased the improvement in the different models.

Leveraging Digital Media to Promote Youth Mental Health: Flipping the Script on Social Media-Related Risk

Abstract Purpose of Review Despite growing public concern about the negative impact of digital media for mental health problems, there are key ways in which digital media can be leveraged to prevent such outcomes. This article reviews research exploring the ways that digital media, particularly social media, can be used to prevent negative mental health outcomes and promote youth mental health and well-being. Recent findings Research indicates that media can be protective against mental health problems and promote mental health by enabling social support and destigmatizing mental illness, especially for youth with limited resources. Media also can be leveraged to identify those at risk, to educate, provide resources, and promote well-being, and to track symptoms and intervene to prevent or mitigate negative mental health outcomes. There is limited research on interventions designed to reduce the negative effects of digital media on mental health, especially those that harness media itself, a critical area of future research. Summary This article provides a summary of the current evidence on this topic, highlights key directions for future research, and provides evidence-based recommendations for adolescents, families, educators, clinicians, industry, and policy-makers to prevent mental health problems related to media.

Perceived Risks of Social Media in the University Libraries of Pakistan: An Empirical Investigation

Purpose The research on social media adoption and use is on the rise in Pakistan. However, researchers did not focus on investigating the risks associated with social media use for library services. So, this study examines perceived risks of library services through social media in the university libraries of Pakistan. Also, suggest possible solution to overcome the observed risks. Methodology Using a structured questionnaire, a national-level survey was conducted. Respondents of the study were professional librarians designated as Head or Chief or University librarian representing their organization. The study was conducted in an organizational perspective and required a single response from each organization. The questionnaire was distributed among 181 university librarians working both in public and private sector university libraries in Pakistan. However, valid responses were 124 (69%). Findings The Pakistani university libraries are using social media platforms for library services. However, the research findings reveal that there are several risks to offering library services through social media. Among the responded libraries, the libraries that do not use social media platforms for service delivery feel riskier compared to the libraries that offer library services through social media. It is also found that there is no formal policy on social media usage in the libraries. Practical implications The research findings provide valuable insight to university administration, library social media users, and developers on how to consider the identified risks while designing state-of-the-art library services through social media. Also, the study findings may be easily generalized at national level due to the coverage of the whole population. Originality This is a novel study that explores the perceived social media risks associated with using social media to offer library services. Also, the study is first attempt that covers whole population through a census survey in an organizational perspective.

Risk prevention and insurance. Reaching or trespassing the insurance boundaries?

Insurance presents a well-recognized preventive value. However, in recent times when it comes to the preventive function of insurance, it is about much more and this can be heard in voices of increasing numbers of experts and insurers. Three fundamental motivators prompted the pursuit of this study: (1) dynamic shifts in the risk landscape, (2) emerging technologies facilitating risk prevention, and (3) a perceived regulatory gap in addressing societal needs and technological potentials. Legal considerations related to the utilization of new technologies in insurance have been extensively discussed, albeit selectively. These discussions have focused on issues such as the policyholder’s risk declaration, the potential use of sensitive data for risk assessment, and the automated distribution process (robo-advice). No comprehensive legal analysis of the preventive function of insurance in this context is available. There is a noticeable research and publication gap that should be filled by holistic considerations on risk prevention in insurance, both on the level of private law (insurance contract, duties of the insurance distributors, as well as public law, concerning the supervision over applying the risk prevention measures by the insurance carriers. Finding a new approach that could address the legal challenges is, according to the author, of great importance for the development of insurance as a protection tool for the most imminent social risks. The objectives included in the paper include showing the impact of new technologies on risk prevention, as well as analysis of what the role of the insurer in risk prevention may and should be from the legal perspective, including the potential change of roles in performing the insurance contract. The objectives of the paper involve several aspects, such as whether prevention has the potential to become a distinguished (re-) insurance service, as well as what the boundaries of the insurance contract and insurance business in terms of its compensatory and preventive function are.

Applying the ethics of AI: a systematic review of tools for developing and assessing AI-based systems

Artificial Intelligence (AI)-based systems and their increasingly common use have made it a ubiquitous technology; Machine Learning algorithms are present in streaming services, social networks, and in the health sector. However, implementing this emerging technology carries significant social and ethical risks and implications. Without ethical development of such systems, there is the potential for this technology to undermine people’s autonomy, privacy, and equity, even affecting human rights. Considering the approaches necessary for ethical development and effective governance of AI, such as ethical principles, guidelines, and technical tools, the question arises regarding the limitations of implementing these measures by the highly technical personnel involved in the process. In this context, we propose the creation of a typology that distinguishes the different stages of the AI life-cycle, the high-level ethical principles that should govern their implementation, and the tools with the potential to foster compliance with these principles, encompassing both technical and conceptual resources. In addition, this typology will include relevant information such as developmental level, related tasks, sectors, and language. Our research is based on a systematic review in which we identified 352 resources and tools. We expect this contribution to be valuable in promoting ethical AI development for developers and leaders who manage these initiatives. The complete typology and the comprehensive list of resources are available for consultation at https://ricardo-ob.github.io/tools4responsibleai.

Contextual Factors Relevant to Implementing Social Risk Factor Screening and Referrals in Cancer Survivorship: A Qualitative Study.

Social risk factors such as food insecurity and lack of transportation can negatively affect health outcomes, yet implementation of screening and referral for social risk factors is limited in medical settings, particularly in cancer survivorship. We conducted 18 qualitative, semistructured interviews among oncology teams in 3 health systems in Washington, DC, during February and March 2022. We applied the Exploration, Preparation, Implementation, Sustainment Framework to develop a deductive codebook, performed thematic analysis on the interview transcripts, and summarized our results descriptively. Health systems varied in clinical and support staff roles and capacity. None of the participating clinics had an electronic health record (EHR)-based process for identifying patients who completed their cancer treatment ("survivors") or a standardized cancer survivorship program. Their capacities also differed for documenting social risk factors and referrals in the EHR. Interviewees expressed awareness of the prevalence and effect of social risk factors on cancer survivors, but none employed a systematic process for identifying and addressing social risk factors. Recommendations for increasing screening for social risk factors included designating a person to fulfill this role, improving data tracking tools in the EHR, and creating systems to maintain up-to-date information and contacts for community-based organizations. The complexity of cancer care workflows and lack of reimbursement results in a limited ability for clinic staff members to screen and make referrals for social risk factors. Creating clinical workflows that are flexible and tailored to staffing realities may contribute to successful implementation of a screening and referral program. Improving ongoing communication with community-based organizations to address needs was deemed important by interviewees.

Does ESG performance affect the systemic risk sensitivity? Empirical evidence from Chinese listed companies

PurposeThis paper aims to examine the relationship between environmental, social and governance (ESG) performance and systemic risk sensitivity of Chinese listed companies. From the consumer loyalty and investor structure perspectives, the relationship between ESG performance and systemic risk sensitivity is analyzed.Design/methodology/approachSince Morgan Stanley Capital International (MSCI) ESG officially began to analyze and track China A-shares from 2018, 275 listed companies in the SynTao Green ESG testing list for 2015–2021 are selected as the initial model. To measure the systematic risk sensitivity, this study uses the beta coefficient, from capital asset pricing model (CPAM), employing statistics and data (STATA) software.FindingsThe study reveals that high ESG rating companies have high corresponding consumer loyalty and healthy trading structure of institutional investors, thereby the systemic risk sensitivity is lower. This paper reveals that companies with high ESG rating are significantly less sensitive to systemic risk than those with low ESG rating. At the same time, ESG has a weaker impact on the systemic risk of high-cap companies than low-cap companies.Practical implicationsThe study helps the companies understand the influence of market value on the relationship between ESG performance and systemic risk sensitivity. Moreover, this paper explains explicitly why ESG performance insulates a firm’s stock from market downturns with the lens of consumer loyalty theory and investor structure theory.Originality/valueThe paper provides new insights on the company’s ESG performance that significantly affects the company’s systemic risk sensitivity.

Identifying Individuals with Highest Social Risk in Adults with Type 2 Diabetes Using Item Response Theory.

The aim of this analysis was to create a parsimonious tool to screen for high social risk using item response theory to discriminate across social risk factors in adults with type 2 diabetes. Cross-sectional data of 615 adults with diabetes recruited from two primary care clinics were used. Participants completed assessments including validated scales on economic instability (financial hardship), neighborhood and built environment (crime, violence, neighborhood rating), education (highest education, health literacy), food environment (food insecurity), social and community context (social isolation), and psychological risk factors (perceived stress, depression, serious psychological distress, diabetes distress). Item response theory (IRT) models were used to understand the association between a participant's underlying level of a particular social risk factor and the probability of that response. A two-parameter logistic IRT model was used with each of the 12 social determinant factors being added as a separate parameter in the model. Higher values in item discrimination indicate better ability of a specific social risk factor in differentiating participants from each other. Rate of crime reported in a neighborhood (discrimination 3.13, SE 0.50; item difficulty - 0.68, SE 0.07) and neighborhood rating (discrimination 4.02, SE 0.87; item difficulty - 1.04, SE 0.08) had the highest discrimination. Based on these findings, crime and neighborhood rating discriminate best between individuals with type 2 diabetes who have high social risk and those with low social risk. These two questions can be used as a parsimonious social risk screening tool to identify high social risk.

The role of community engagement in promoting research participants' understanding of pharmacogenomic research results: Perspectives of stakeholders involved in HIV/AIDS research and treatment.

Community engagement (CE) is praised to be a powerful vehicle in empowering communities with knowledge and skills to make informed decisions for better health care. Several CE approaches have been proposed to improve participants' and research communities' understanding of genomic research including pharmacogenomic information and results. However, there is limited literature on how these approaches can be used to communicate findings of pharmacogenomic research to communities of people living with HIV. This study explored stakeholders' perspectives on the role of community engagement in promoting understanding of pharmacogenomic research results among people living with HIV. We adopted a qualitative approach that involved 54 stakeholders between September 2021 and February 2022. We held five focus group discussions among 30 community representatives from five research institutions, 12 key informant interviews among researchers, and 12 in-depth interviews among ethics committee members. A thematic approach was used to analyze the results. Five themes merged from this data and these included (i) benefits of engaging communities prior to returning individual pharmacogenomic research results to participants. (ii) Obtaining community consensus on the kinds of pharmacogenomic results to be returned. (iii) Opinions on how pharmacogenomic research information and results should be communicated at community and individual levels. (iv) Perceived roles of community stakeholders in promoting participants' understanding and utilization of pharmacogenomic research results. (v) Perceived challenges of engaging communities when returning individual results to research participants. Stakeholders opined that CE facilitates co-learning between researchers and research communities. Researchers can adapt existing CE approaches that are culturally acceptable for meaningful engagement with minimal ethical and social risks when communicating pharmacogenomic research results. CE approaches can facilitate understanding of pharmacogenomic research and findings among research participants and communities. Therefore, if creatively adapted, existing and new CE approaches can enable researchers to communicate simple and understandable results of pharmacogenomic research.

Price-making in provisioning systems and social-ecological transformation? The cases of the electric vehicle metals copper, cobalt, and lithium

Research and debates around mineral extraction in the context of social-ecological transformation have to date dedicated limited attention to price-making. Drawing on the provisioning systems approach, this article assesses price-making in mineral provisioning as contested processes. We argue that price-making is not an objective or solely technical process taking place on abstract markets but rather it is, first, reflective of power struggles over specific rules and devices between different actors, embedded in social relations, network practices, and institutions and, second, linked to the materialities of commodities and the territorial and organizational forms of their provisioning. Empirically, we analyze the “electric vehicle metals” copper, cobalt, and lithium for which derivative markets are intensifying their role as price-determination institutions linked particularly to the interest of financial actors in getting price exposure. The article criticizes current shifts to benchmark- and derivative markets-based price-determination. This approach focuses on short-term demand and supply considerations without considering local producer-region production specificities, broader economic impacts, and environmental and social costs and risks. Moreover, it fails to address the long-term insecurities related to resource depletion. With financial actors dominating price-determination on derivative markets, prices deviate even from such a narrow fundamental demand and supply perspective, increasing volatility and short-termism. Alternative price-making mechanisms are needed, together with other policies for social-ecological transformation which requires political regulation embedded in democratic decision-making. Methodologically, the article is based on production, trade, and financial data and semi-structured interviews with representatives of price-determination institutions, metal-provisioning systems, and producer countries.

Social Care Education and Training Among US Pediatric Emergency Medicine Fellowship Programs.

The aim of the study is to assess the association of social determinants of health (SDOH) education and social needs training on pediatric emergency medicine (PEM) physician perception and practices of social care. Data were derived from the 2021 National Social Care Practices Survey of PEM program directors (PDs) and fellows. Ordinal and binary logistic regression modeling were completed for educational/training factors and social care perspective and practice outcomes. A national sample of 44 PDs (49% response rate) and 109 fellows (28%) participated. A minority of fellows received SDOH education and social needs training during fellowship. Fellows and PDs with SDOH education had a 3.1 odds (95% confidence interval CI, 1.4-6.9) of screening for social needs, with 4.4 odds among fellows (95% CI, 1.2-20.7). Those with social needs training were more comfortable assessing social risk, with 2.4 odds overall (95% CI, 1.2-4.7) and 3.1 odds among fellows (95% CI, 1.4-6.7). They also had 2.4 odds overall (95% CI, 1.1-4.9) of screening for social needs, with a 2.9 odds among fellows (95% CI, 1.3-6.8). Social care education and training appear to be associated with comfort assessing social risk and social needs screening tendency among both PEM PDs and fellows. Key areas for educational interventions are identified among PEM fellows, who are uniquely positioned as clinical leaders and patient advocates.

Mental Health Concerns During COVID-19: An Observational Study Among a Predominantly Black Community in New York City.

This study examined the prevalence of mental health concerns and its association with COVID-19, selected social determinants of health, and psychosocial risk factors in a predominantly racial/ethnic minoritized neighborhood in New York City. Adult Harlem residents (N = 393) completed an online cross-sectional survey from April to September 2021. The Patient Health Questionnaire (PHQ-4) and the Post-Traumatic Stress Disorder (PC-PTSD) were used to evaluate mental health concerns. Poisson regression with robust variance quantified the associations of interests via prevalence ratios (PR) and 95% confidence intervals (CI). Two-thirds (66.4%) of theresidents reported experiencing mental health concerns, including PTSD (25.7%), depression (41.2%), and anxiety (48.1%). Residents with low-income housing status (PR = 1.16; 95% CI 1.01, 1.34), alcohol misuse (PR = 1.68; 95% CI 1.40, 2.01), food insecurity (PR = 1.23; 95% CI 1.07, 1.42), exposure to interpersonal violence (PR = 1.33; 95% CI 1.08, 2.65), and experience of discrimination (PR = 1.53, 95% CI 1.23-1.92) were more likely to report mental health concerns. Better community perception of the police (PR = 0.97, 95% CI 0.95, 0.99) was associated with fewer mental health concerns. No associations were observed for employment insecurity, housing insecurity, or household COVID-19 positivity with mental health concerns. This study showed a high prevalence of mental health concerns in a low-income racial/ethnic minoritized community, where COVID-19 and social risk factors compounded these concerns. Harlem residents face mental health risks including increased financial precarity, interpersonal violence, and discrimination exposure. Interventions are needed to address these concurrent mental health and psychosocial risk factors, particularly in racial/ethnic minoritized residents.