Longer-Term Mental Health Consequences of COVID-19 Infection: Moderation by Race and Socioeconomic Status.

OBJECTIVE: While evidence suggests that the mental health symptoms of COVID-19 can persist for several months following infection, little is known about the longer-term mental health effects and whether certain sociodemographic groups may be particularly impacted. This cross-sectional study aimed to characterize the longer-term mental health consequences of COVID-19 infection and examine whether such consequences are more pronounced in Black people and people with lower socioeconomic status. METHODS: 277 Black and White adults (age ≥ 30 years) with a history of COVID-19 (tested positive ≥ 6 months prior to participation) or no history of COVID-19 infection completed a 45-minute online questionnaire battery. RESULTS: People with a history of COVID-19 had greater depressive (d = 0.24), anxiety (d = 0.34), post-traumatic stress disorder (PTSD) (d = 0.32), and insomnia (d = 0.31) symptoms than those without a history of COVID-19. These differences remained for anxiety, PTSD, and insomnia symptoms after adjusting for age, sex, race, education, income, employment status, body mass index, and smoking status. No differences were detected for perceived stress and general psychopathology. People with a history of COVID-19 had more than double the odds of clinically significant symptoms of anxiety (OR = 2.22) and PTSD (OR = 2.40). Education, but not race, income, or employment status, moderated relationships of interest such that COVID-19 status was more strongly and positively associated with all the mental health outcomes for those with fewer years of education. CONCLUSION: The mental health consequences of COVID-19 may be significant, widespread, and persistent for at least 6 months post-infection and may increase as years of education decreases.

Health-related social needs information in the emergency department: clinician and patient perspectives on availability and use.

BACKGROUND: Patient health-related social needs (HRSN) complicate care and drive poor outcomes in emergency department (ED) settings. This study sought to understand what HRSN information is available to ED physicians and staff, and how HRSN-related clinical actions may or may not align with patient expectations. METHODS: We conducted a qualitative study using in-depth semi-structured interviews guided by HRSN literature, the 5 Rights of Clinical Decision Support (CDS) framework, and the Contextual Information Model. We asked ED providers, ED staff, and ED patients from one health system in the mid-Western United Stated about HRSN information availability during an ED encounter, HRSN data collection, and HRSN data use. Interviews were recorded, transcribed, and analyzed using modified thematic approach. RESULTS: We conducted 24 interviews (8 per group: ED providers, ED staff, and ED patients) from December 2022 to May 2023. We identified three themes: (1) Availability: ED providers and staff reported that HRSNs information is inconsistently available. The availability of HRSN data is influenced by patient willingness to disclose it during an encounter. (2) Collection: ED providers and staff preferred and predominantly utilized direct conversation with patients to collect HRSNs, despite other methods being available to them (e.g., chart review, screening questionnaires). Patients' disclosure preferences were based on modality and team member. (3) Use: Patients wanted to be connected to relevant resources to address their HRSNs. Providers and staff altered clinical care to account for or accommodate HRSNs. System-level challenges (e.g., limited resources) limited provider and staff ability to address patients HRSNs. CONCLUSIONS: In the ED, HRSNs information was inconsistently available, collected, or disclosed. Patients and ED providers and staff differed in their perspectives on how HSRNs should be collected and acted upon. Accounting for such difference in clinical and administrative decisions will be critical for patient acceptance and effective usage of HSRN information.

Acceptance of Automated Social Risk Scoring in the Emergency Department: Clinician, Staff, and Patient Perspectives.

Introduction: Healthcare organizations are under increasing pressure from policymakers, payers, and advocates to screen for and address patients' health-related social needs (HRSN). The emergency department (ED) presents several challenges to HRSN screening, and patients are frequently not screened for HRSNs. Predictive modeling using machine learning and artificial intelligence, approaches may address some pragmatic HRSN screening challenges in the ED. Because predictive modeling represents a substantial change from current approaches, in this study we explored the acceptability of HRSN predictive modeling in the ED. Methods: Emergency clinicians, ED staff, and patient perspectives on the acceptability and usage of predictive modeling for HRSNs in the ED were obtained through in-depth semi-structured interviews (eight per group, total 24). All participants practiced at or had received care from an urban, Midwest, safety-net hospital system. We analyzed interview transcripts using a modified thematic analysis approach with consensus coding. Results: Emergency clinicians, ED staff, and patients agreed that HRSN predictive modeling must lead to actionable responses and positive patient outcomes. Opinions about using predictive modeling results to initiate automatic referrals to HRSN services were mixed. Emergency clinicians and staff wanted transparency on data inputs and usage, demanded high performance, and expressed concern for unforeseen consequences. While accepting, patients were concerned that prediction models can miss individuals who required services and might perpetuate biases. Conclusion: Emergency clinicians, ED staff, and patients expressed mostly positive views about using predictive modeling for HRSNs. Yet, clinicians, staff, and patients listed several contingent factors impacting the acceptance and implementation of HRSN prediction models in the ED.

Exercise and Dietary Recommendations for Women with Chronic Pain: What's Weight and Race Got To Do with It?

Exercise and diet are beneficial for pain, yet many patients do not receive such recommendations from providers. This may be due to biases related to gender, race, and weight. We recruited medical students (N = 90) to view videos of women with chronic back pain performing a functional task; patients varied by weight (overweight/obese) and race (Black/White). For each woman patient, providers rated their likelihood of recommending exercises or dietary changes. Ratings significantly differed across recommendations (F(2.75, 244.72) = 6.19, P < .01) in that providers were more likely to recommend flexibility exercises than aerobic exercises and dietary changes and were more likely to recommend strength exercises than dietary changes. Results also indicated that women with obesity were more likely to receive aerobic (F(1,89) = 17.20, P < .01), strength (F(1,89) = 6.08, P = .02), and dietary recommendations (F(1,89) = 37.56, P < .01) than were women with overweight. Additionally, White women were more likely to receive a recommendation for flexibility exercises (F(1,89) = 4.92, P = .03) than Black women. Collectively, these findings suggest that providers' exercise and dietary recommendations for women with chronic pain are influenced by the weight status and racial identity of the patient. Future studies are needed to identify the reasons underlying these systematic differences, including the stereotypes and attitudes that may be driving these effects. PERSPECTIVE: This article presents results on how patient weight and race impact providers' exercise and diet recommendations for women with chronic back pain. Provider recommendations for these modalities may be systematically biased in a way that impedes care and impacts patient functioning.

Depressive disorder subtypes, depressive symptom clusters, and risk of obesity and diabetes: A systematic review.

BACKGROUND: Overlapping but divided literatures suggest certain depression facets may pose greater obesity and diabetes risk than others. Our objectives were to integrate the major depressive disorder (MDD) subtype and depressive symptom cluster literatures and to clarify which facets are associated with the greatest cardiometabolic disease risk. METHODS: We conducted a systematic review of published studies examining associations of ≥2 MDD subtypes or symptom clusters with obesity or diabetes risk outcomes. We report which facets the literature is "in favor" of (i.e., having the strongest or most consistent results). RESULTS: Forty-five articles were included. Of the MDD subtype-obesity risk studies, 14 were in favor of atypical MDD, and 8 showed similar or null associations across subtypes. Of the symptom cluster-obesity risk studies, 5 were in favor of the somatic cluster, 1 was in favor of other clusters, and 5 were similar or null. Of the MDD subtype-diabetes risk studies, 7 were in favor of atypical MDD, 3 were in favor of other subtypes, and 5 were similar or null. Of the symptom cluster-diabetes risk studies, 7 were in favor of the somatic cluster, and 5 were similar or null. LIMITATIONS: Limitations in study design, sample selection, variable measurement, and analytic approach in these literatures apply to this review. CONCLUSIONS: Atypical MDD and the somatic cluster are most consistently associated with obesity and diabetes risk. Future research is needed to establish directionality and causality. Identifying the depression facets conferring the greatest risk could improve cardiometabolic disease risk stratification and prevention programs.

The Impact of Patient Race, Patient Socioeconomic Status, and Cognitive Load of Physician Residents and Fellows on Chronic Pain Care Decisions.

Social stereotypes are more likely to influence decision-making under conditions of high cognitive load (ie, mental workload), such as in medical settings. We examined how patient race, patient socioeconomic status (SES), physician cognitive load, and physician implicit beliefs about race and SES differences in pain tolerance impacted physicians' pain treatment decisions. Physician residents and fellows (N = 120) made treatment decisions for 12 computer-simulated patients with back pain that varied by race (Black/White) and SES (low/high). Half of the physicians were randomized to be interrupted during the decision task to make hypertension medication conversion calculations (high cognitive load group), while the other half completed the task without interruptions (low cognitive load group). Both groups were given equal time to make pain care decisions (2.5 minutes/patient). Results of multilevel ordinal logistic regression analyses indicated that physicians prescribed weaker analgesics to patients with high vs. low SES (odds ratio = .68, 95% confidence interval [.48, .97], P = .03). There was also a patient SES-by-cognitive load interaction (odds ratio = .56, 95% confidence interval [.31, 1.01], P = .05) that is theoretically and potentially practically meaningful but was not statistically significant at P < .05. These findings shed light on physician cognitive load as a clinically-relevant factor in the context of pain care quality and equity. PERSPECTIVE: These findings highlight the clinical relevance of physician cognitive load (eg, mental workload) when providing pain care for diverse patients. This line of work can support the development of interventions to manage physician cognitive load and its impact on pain care, which may ultimately help reduce pain disparities.

Provider Implicit Racial Bias in Pediatric Sickle Cell Disease.

BACKGROUND/OBJECTIVES: This study is to (1) assess implicit racial bias among pediatric providers and (2) use virtual patient (VP) vignettes to determine the impact of implicit racial bias on clinical decision-making in pediatric sickle cell disease (SCD) pain care. DESIGN/METHODS: This cross-sectional study was conducted at a mid-sized, freestanding children's hospital in the northeast. Participants (N = 52) were pediatric SCD providers (87% cisgender female, 90% White, M age = 38.78). Providers completed a demographic questionnaire, the race Implicit Association Test (IAT) with adult and child faces, and a measure of SCD explicit bias (5-point Likert scale). Providers also made clinical decisions for four VP vignettes depicting Black and White youth in the emergency department (ED) with either SCD or cancer pain. Frequency tables were calculated. RESULTS: On the race IAT, providers demonstrated a pro-White implicit bias for both adult (81%) and child (89%) faces. Responses to the explicit bias measure reflected low levels of agreement with negative stereotypes about SCD patients. No significant differences emerged in providers' pain treatment decisions for Black vs. White, or SCD vs. cancer VPs. CONCLUSIONS: Findings indicate pediatric providers harbor implicit racial bias similar to the general population. Findings from VP vignettes did not demonstrate that pain treatment decision-making differed based on race or diagnosis. This may be due to standardized protocols and procedures in the pediatric emergency setting. Future research is needed to clarify the role of implicit bias in clinical decision-making and the potential efficacy of treatment protocols in preventing biases from interfering with pediatric SCD pain care.

Social Determinants and Consequences of Pain: Toward Multilevel, Intersectional, and Life Course Perspectives.

Despite wide endorsement of a biopsychosocial framework for pain, social aspects of pain remain rarely addressed in the context of pain prevention and management. In this review, we aim to 1) examine the broad scope of social determinants and consequences of pain and their interactions across multiple levels of organization, and 2) provide a framework synthesizing existing concepts and potential areas for future work on social aspects of pain, drawing upon socioecological, intersectional, and life course approaches. Integrating interdisciplinary theory and evidence, we outline pathways through which multilevel social factors and pain may affect each other over time. We also provide a brief summary of intrapersonal aspects of pain, which are thought to operate at the interface between individuals and the social context. Progressing from micro- to macrolevel factors, we illustrate how social determinants of pain can directly or indirectly contribute to pain experiences, expression, risk, prognosis, and impact across populations. We consider 1) at the interpersonal level, the roles of social comparison, social relatedness, social support, social exclusion, empathy, and interpersonal conflict; 2) at the group or community level, the roles of intimacy groups, task groups, social categories, and loose associations; and 3) at the societal level, the roles of political, economic, and cultural systems, as well as their policies and practices. We present examples of multilevel consequences of pain across these levels and discuss opportunities to reduce the burden and inequities of pain by expanding multilevel social approaches in pain research and practice. PERSPECTIVE: Despite wide endorsement of a biopsychosocial framework for pain, social aspects of pain are often unclearly defined, hindering their use in pain prevention, management, and research. We summarize the scope of social aspects of pain and provide a framework synthesizing existing concepts and potential areas for future work.