Assessing the influence of rural residence and economic distress on lower extremity risk stratification among diabetic foot ulcer patients utilizing the Wound, Ischemia, and Foot Infection (WIfI) classification system.

OBJECTIVE: Diabetic foot ulcers (DFU) are a major sequela of uncontrolled diabetes with a high risk of adverse outcomes. Poor DFU outcomes disproportionately impact patients living in rural and economically distressed communities with lack of access to consistent, quality care. This study aimed to analyze the risk of geographic and economic disparities, including rural status and county economic distress, on the disease burden of DFU at presentation utilizing the SVS WIfI classification system. METHODS: We conducted a retrospective review of 454 patients diagnosed with a DFU from 2011 to 2020 at a single institution's inpatient and outpatient wound care service. Patients >18 years old, with type II diabetes mellitus, and diabetic foot ulcer were included. RESULTS: ANCOVA analyses showed rural patients had significantly higher WIfI composite scores (F(1,451) = 9.61, p = .002), grades of wound (F(1,439) = 11.03, p = .001), and ischemia (F(1,380) = 12.574, p = .001) compared to the urban patients. Patients that resided in at-risk economic counties had significantly higher overall WIfI composite scores (F(2,448) = 3.31, p = .037) than patients who lived in transitional economic counties, and higher foot infection grading (F(2,440) = 3.02, p = .05) compared to patients who lived in distressed economic counties. DFU patients who resided in distressed economic counties presented with higher individual grades of ischemia (F(2, 377) = 3.14, p = .04) than patients in transitional economic counties. Chi-Square analyses demonstrated patients who resided in urban counties were significantly more likely to present with grade 1 wounds (χ2(3) = 9.86, p = .02) and grade 0 ischemia (χ2(3) = 16.18, p = .001) compared to patients in rural areas. Economically distressed patients presented with significantly less grade 0 ischemia compared to patients in transitional economic counties (χ2(6) = 17.48, p = .008). CONCLUSIONS: Our findings are the first to demonstrate the impact of geographic and economic disparities on the disease burden of DFU at presentation utilizing the SVS WIfI classification system. This may indicate need for improved multidisciplinary primary care prevention strategies with vascular specialists in these communities to mitigate worsening DFU and promote early intervention.

A Culture Shift for Excellence in Physical Therapy: Promoting Equity through the Structural Determinants of Health.

The purpose of this perspective is to discuss the imperative for curricular change that focuses on the utilization of structural competency to promote excellence in physical therapist professional education, transform society, and achieve health equity. Pedagogy centered around biomedical and social determinants of health (SDOH) models are limited in that they lack self-reflexivity, encode social identities like race and gender as risk factors for poor health, fail to examine structural causes of health inequity, conflate SDOH and the structural forces that shape their unequal distribution, and overlook instances of injustice. Promoting health equity will require structural competency, an approach that considers drivers of health beyond the individual and their conditions of daily living (ie, SDOH). Utilizing this approach in physical therapist professional education will help learners understand the evolving needs of society in a deeper, more holistic way: one that considers structural determinants of health as the primary drivers of health equity and inequity. IMPACT STATEMENT: This paper provides a perspective on how physical therapist professional education can promote health equity for all by embracing an equity-focused, structurally competent pedagogy/approach.

Health-Related Social Needs Screening and Referral in Pediatric Primary Care: A Systematic Review.

INTRODUCTION: This study aimed to review approaches to health-related social needs (HRSN) screening and referral in pediatric primary care. METHOD: PsycINFO, PubMed, and Google Scholar databases were searched to include peer-reviewed studies conducted in the U.S. over the last 30 years that reported HRSN screening and/or referral outcomes in primary care up to age 18. Studies included multiple HRSN domains and a variety of study designs. Data were summarized descriptively. RESULTS: 20 studies met inclusion criteria. A variety of screening targets and modalities were employed in addition to referral support methods. Positive screens among the domains reported varied depending on the screening process and sample. DISCUSSION: This review highlights a range of patient-centered innovations for HRSN screening and referral that may be adaptable to a range of local needs and capacities. Ongoing rigorous evaluation of these models is needed.

Social Networks, Social Determinants and Mortality: Western New York Exposures and Breast Cancer (WEB) Study.

BACKGROUND: There are few studies of social support and other social determinants of health after breast cancer (BC) diagnosis and their associations with mortality; results have been inconclusive. Further, it is not known if observed associations are specific to women with BC diagnosis or if associations would be similar among healthy women. METHODS: Women with incident, pathologically confirmed invasive BC, stage I-IV (n = 1012) and healthy frequency age-matched controls (n = 2036), answered a social support questionnaire in prospective follow-up of a population-based case-control study, the Western New York Exposures and Breast Cancer (WEB) Study. At interview, all participants were aged 35-79 years and resident of two counties in Western New York State. Mortality status was ascertained from the National Death Index. Participants were queried regarding the number of their close friends, frequency of seeing them, household size, household income, and marital status. Hazard ratios (HR) and 95% confidence intervals (CI) for BC specific mortality (BC women only) and all-cause mortality were estimated. RESULTS: Lower household income was associated with higher all-cause mortality among women diagnosed with BC (HR 2.48, 95% CI, 1.24-4.97) and similarly among the healthy women (HR 2.63, 95% CI, 1.25-5.53). Number and frequency of seeing friends, marital status, and household size were not associated with mortality, either among BC patients or among healthy women. CONCLUSION: Among both those diagnosed with BC and healthy women, lower income was associated with more than twice the mortality. Marital status, household size, number or frequency of meeting friends were not associated with survival.

Risk factors for persistent fatal opioid-involved overdose clusters in Massachusetts 2011-2021: a spatial statistical analysis with socio-economic, accessibility, and prescription factors.

BACKGROUND: Fatal opioid-involved overdose rates increased precipitously from 5.0 per 100,000 population to 33.5 in Massachusetts between 1999 and 2022. METHODS: We used spatial rate smoothing techniques to identify persistent opioid overdose-involved fatality clusters at the ZIP Code Tabulation Area (ZCTA) level. Rate smoothing techniques were employed to identify locations of high fatal opioid overdose rates where population counts were low. In Massachusetts, this included areas with both sparse data and low population density. We used Local Indicators of Spatial Association (LISA) cluster analyses with the raw incidence rates, and the Empirical Bayes smoothed rates to identify clusters from 2011 to 2021. We also estimated Empirical Bayes LISA cluster estimates to identify clusters during the same period. We constructed measures of the socio-built environment and potentially inappropriate prescribing using principal components analysis. The resulting measures were used as covariates in Conditional Autoregressive Bayesian models that acknowledge spatial autocorrelation to predict both, if a ZCTA was part of an opioid-involved cluster for fatal overdose rates, as well as the number of times that it was part of a cluster of high incidence rates. RESULTS: LISA clusters for smoothed data were able to identify whether a ZCTA was part of a opioid involved fatality incidence cluster earlier in the study period, when compared to LISA clusters based on raw rates. PCA helped in identifying unique socio-environmental factors, such as minoritized populations and poverty, potentially inappropriate prescribing, access to amenities, and rurality by combining socioeconomic, built environment and prescription variables that were highly correlated with each other. In all models except for those that used raw rates to estimate whether a ZCTA was part of a high fatality cluster, opioid overdose fatality clusters in Massachusetts had high percentages of Black and Hispanic residents, and households experiencing poverty. The models that were fitted on Empirical Bayes LISA identified this phenomenon earlier in the study period than the raw rate LISA. However, all the models identified minoritized populations and poverty as significant factors in predicting the persistence of a ZCTA being part of a high opioid overdose cluster during this time period. CONCLUSION: Conducting spatially robust analyses may help inform policies to identify community-level risks for opioid-involved overdose deaths sooner than depending on raw incidence rates alone. The results can help inform policy makers and planners about locations of persistent risk.

Analysis of social determinants of health on emergency department utilization by gunshot wound survivors after level 1 trauma center discharge.

Background: This project analyzed risk factors for emergency department (ED) utilization without readmission within 2 weeks post-discharge for survivors of gun violence. Methods: A hundred gun violence survivors admitted to a Level 1 trauma center were surveyed. Descriptive analyses and group comparisons were conducted between patients who did and did not use the ED. Factors analyzed are rooted in social determinants of health and clinical care related to the index hospitalization. Results: Of the 100 patients, 31 had an ED visit within 6 weeks, although most (87.1%) returned within 2 weeks of discharge. Factors significantly associated (p≤0.05) with a return ED visit included: not having an identified primary care provider, not having friends or family to count on for help, not having enough money to support themselves before return to work, and not feeling able to read discharge instructions. Conclusion: Lack of a primary care provider, low health literacy and social support were associated with increased ED visits without readmission post-discharge. Level of Evidence: Level III, Prognostic and Epidemiological.

Are social determinants of health associated with an increased length of hospitalization after revision total hip and knee arthroplasty? A comparison study of social deprivation indices.

INTRODUCTION: Length of stay (LOS) has been extensively assessed as a marker for healthcare utilization, functional outcomes, and cost of care for patients undergoing arthroplasty. The notable patient-to-patient variation in LOS following revision hip and knee total joint arthroplasty (TJA) suggests a potential opportunity to reduce preventable discharge delays. Previous studies investigated the impact of social determinants of health (SDoH) on orthopaedic conditions and outcomes using deprivation indices with inconsistent findings. The aim of the study is to compare the association of three publicly available national indices of social deprivation with prolonged LOS in revision TJA patients. MATERIALS AND METHODS: 1,047 consecutive patients who underwent a revision TJA were included in this retrospective study. Patient demographics, comorbidities, and behavioral characteristics were extracted. Area deprivation index (ADI), social deprivation index (SDI), and social vulnerability index (SVI) were recorded for each patient, following which univariate and multivariate logistic regression analyses were performed to determine the relationship between deprivation measures and prolonged LOS (greater than five days postoperatively). RESULTS: 193 patients had a prolonged LOS following surgery. Categorical ADI was significantly associated with prolonged LOS following surgery (OR = 2.14; 95% CI = 1.30-3.54; p = 0.003). No association with LOS was found using SDI and SVI. When accounting for other covariates, only ASA scores (ORrange=3.43-3.45; p < 0.001) and age (ORrange=1.00-1.03; prange=0.025-0.049) were independently associated with prolonged LOS. CONCLUSION: The varying relationship observed between the length of stay and socioeconomic markers in this study indicates that the selection of a deprivation index could significantly impact the outcomes when investigating the association between socioeconomic deprivation and clinical outcomes. These results suggest that ADI is a potential metric of social determinants of health that is applicable both clinically and in future policies related to hospital stays including bundled payment plan following revision TJA.

Benefits of using both the Hunger Vital Sign and brief nutrition security screener in health-related social needs screening.

Food security is a commonly screened for health-related social need at hospitals and community settings, and until recently, there were no tools to additionally screen for nutrition security. The purpose of this study was to assess the potential advantage of including a one-item brief nutrition security screener (BNSS) alongside the commonly used two-item Hunger Vital Sign (HVS) food security screener for identifying individuals with diet-related health risks. Cross-sectional survey data were collected from April to June 2021. Generalized linear mixed models were used to assess associations between screening status and dietary and health variables. Recruitment was done across five states (California, Florida, Maryland, North Carolina, and Washington) from community-based organizations. Participants (n = 435) were, on average, 44.7 years old (SD = 14.5), predominantly women (77%), and racially/ethnically diverse. In adjusted analyses, being in the food insecure and nutrition insecure group (but not the food insecure and nutrition secure or food secure and nutrition insecure groups) was associated with significantly increased odds for self-reported "fair" or "poor" general health [OR = 2.914 (95% CI = 1.521-5.581)], reporting at least one chronic condition [2.028 (1.024-4.018)], and "low" fruit and vegetable intake [2.421 (1.258-4.660)], compared with the food secure and nutrition secure group. These findings support using both the HVS and BNSS simultaneously in health-related social needs screening to identify participants at the highest risk for poor dietary and health outcomes and warrant further investigation into applying these screeners to clinical and community settings.

Food security and nutrition security are related to a household's ability to get enough food and to get food that is good for their health, respectively. Patients at hospitals, or clients who go to food pantries for help, are often asked about their food security status. This is referred to as screening. On the basis of their answers, they may get help such as referral to a food pantry and/or consultation with a dietitian. While there is a standard tool to screen for food security status, until recently, there has not been one for nutrition security. We used both the commonly used Hunger Vital Sign (HVS) food security screener and the newly developed brief nutrition security screener to identify food and nutrition security screening status. Being in the food insecure and nutrition insecure groups (but not the food insecure and nutrition secure or food secure and nutrition insecure groups) was associated with significantly increased odds for poor dietary and health outcomes. These findings support using both the HVS and brief nutrition security screener simultaneously in health-related social needs screening to identify participants at the highest risk.

Household chaos and childhood obesity-related health outcomes.

OBJECTIVE: Household chaos, defined as a lack of organization, structure, and predictability, has been linked to deleterious childhood health outcomes and may hinder attempts to initiate and maintain healthy lifestyle changes. This study examined the associations of household chaos and obesity-related health conditions in a sample of youth being treated for obesity. METHODS: Participants were 715 patients (61.8% girls; Mage = 12.3 years; 68.7% non-Hispanic Black; M% of 95th BMI %-ile = 146.9%) enrolled in a pediatric weight management clinic. Caregiver report of household chaos was measured using the Confusion, Hubbub and Order Scale (CHAOS). Physiological obesity-related comorbidities (e.g., insulin resistance, hypertension, dyslipidemia) were assessed by a medical clinician and abstracted from electronic medical records; health conditions were dichotomized as present or not present. Psychological functioning was measured with the Pediatric Symptom Checklist, a caregiver-completed mental health screen that assesses internalizing, externalizing, and attention concerns. RESULTS: The Wilcoxon rank-sum test was used to test differences in household chaos scores for each obesity-related health condition. Caregivers of youth diagnosed with hypertension and obstructive sleep apnea reported significantly lower levels of household chaos, while caregivers who reported clinical levels of psychological dysfunction reported higher levels of chaos. CONCLUSIONS: Traditional management of childhood obesity requires changes across multiple health domains (e.g., dietary, exercise, sleep), and such change may be facilitated by structure and consistency. Present findings suggest that psychological resources within pediatric weight management settings should address individual patient-level factors associated with physiological and mental health as well as household functioning.

Substance Use and College Completion Among Two-Year and Four-Year College Students From a Nationally Representative Longitudinal Study.

Young adults from disadvantaged populations access higher education through two-year colleges, but substance use research among young adults focuses on four-year colleges. Filling this research gap is important given recent policy changes that have increased marijuana availability for young adults. This study uses a subsample of college-enrolled participants from the National Longitudinal Study of Adolescent to Adult Health (Add Health) to evaluate whether substance use predicts educational attainment seven years later, comparing 888 students attending a two-year college with 1,398 matched students attending a four-year college. Matched students were identified using a propensity score method so that students were comparable on 15 measures, including precollege grades, precollege test scores, and precollege substance use. Compared with similar four-year college students, two-year college students were more likely to use methamphetamines, cocaine, or marijuana; more likely to report problematic substance use; and less likely to use alcohol. Two-year college students who used methamphetamines in the past year (incidence rate ratio (IRR) = 1.51, 95% CI (1.12, 2.04), p = 0.007) or past month (IRR = 1.69, 95% CI (1.09, 2.61), p = 0.02) or completed alcohol abuse treatment (IRR = 1.58, 95% CI (1.21, 2.07), p < 0.001) were less likely to complete college than two-year college students without those risk factors. Among the matched four-year college students, students who reported that drugs interfered with school or work in the past year (IRR = 1.84 (1.28, 2.64), p = 0.001), used cocaine in the past year (IRR = 1.47 (1.04, 2.08), p = 0.03), and used marijuana in the past year (IRR = 1.30 (1.07, 1.57), p = 0.007), past month (IRR = 1.31 (1.07, 1.61), p = 0.01), or ≥5 times in the past month (IRR = 1.44 (1.12, 1.85) p = 0.005) were less likely to complete college than the matched four-year college students without those risk factors. Substance use interventions should target both two-year and four-year college students. Two-year colleges that better accommodate students who complete substance use treatment may improve these students' completion. Students who use marijuana or cocaine or whose drug use impairs functioning may benefit from an incremental approach of completing a two-year degree prior to transferring to a four-year degree rather than enrolling directly in a four-year program.

Impact of payment source, referral site, and place of residence on outcomes after allogeneic transplantation in Mexico.

BACKGROUND: The impact of social determinants of health in allogeneic transplant recipients in low- and middle-income countries is poorly described. This observational study analyzes the impact of place of residence, referring institution, and transplant cost coverage (out-of-pocket vs government-funded vs private insurance) on outcomes after allogeneic hematopoietic stem cell transplantation (alloHSCT) in two of Mexico's largest public and private institutions. AIM: To evaluate the impact of social determinants of health and their relationship with outcomes among allogeneic transplant recipients in Mexico. METHODS: In this retrospective cohort study, we included adolescents and adults ≥ 16 years who received a matched sibling or haploidentical transplant from 2015-2022. Participants were selected without regard to their diagnosis and were sourced from both a private clinic and a public University Hospital in Mexico. Three payment groups were compared: Out-of-pocket (OOP), private insurance, and a federal Universal healthcare program "Seguro Popular". Outcomes were compared between referred and institution-diagnosed patients, and between residents of Nuevo Leon and out-of-state. Primary outcomes included overall survival (OS), categorized by residence, referral, and payment source. Secondary outcomes encompassed early mortality, event-free-survival, graft-versus-host-relapse-free survival, and non-relapse-mortality (NRM). Statistical analyses employed appropriate tests, Kaplan-Meier method, and Cox proportional hazard regression modeling. Statistical software included SPSS and R with tidycmprsk library. RESULTS: Our primary outcome was overall survival. We included 287 patients, n = 164 who lived out of state (57.1%), and n = 129 referred from another institution (44.9%). The most frequent payment source was OOP (n = 139, 48.4%), followed by private insurance (n = 75, 26.1%) and universal coverage (n = 73, 25.4%). No differences in OS, event-free-survival, NRM, or graft-versus-host-relapse-free survival were observed for patients diagnosed locally vs in another institution, nor patients who lived in-state vs out-of-state. Patients who covered transplant costs through private insurance had the best outcomes with improved OS (median not reached) and 2-year cumulative incidence of NRM of 14% than patients who covered costs OOP (Median OS and 2-year NRM of 32%) or through a universal healthcare program active during the study period (OS and 2-year NRM of 19%) (P = 0.024 and P = 0.002, respectively). In a multivariate analysis, payment source and disease risk index were the only factors associated with overall survival. CONCLUSION: In this Latin-American multicenter study, the site of residence or referral for alloHSCT did not impact outcomes. However, access to healthcare coverage for alloHSCT was associated with improved OS and reduced NRM.

Incorporating social determinants of health into transmission modeling of COVID-19 vaccine in the US: a scoping review.

During COVID-19 in the US, social determinants of health (SDH) have driven health disparities. However, the use of SDH in COVID-19 vaccine modeling is unclear. This review aimed to summarize the current landscape of incorporating SDH into COVID-19 vaccine transmission modeling in the US. Medline and Embase were searched up to October 2022. We included studies that used transmission modeling to assess the effects of COVID-19 vaccine strategies in the US. Studies' characteristics, factors incorporated into models, and approaches to incorporate these factors were extracted. Ninety-two studies were included. Of these, 11 studies incorporated SDH factors (alone or combined with demographic factors). Various sets of SDH factors were integrated, with occupation being the most common (8 studies), followed by geographical location (5 studies). The results show that few studies incorporate SDHs into their models, highlighting the need for research on SDH impact and approaches to incorporating SDH into modeling. Funding: This research was funded by the Centers for Disease Control and Prevention (CDC).

Beyond 'Screen & Refer': Understanding Families' Use of Resources for Health-related Social Needs Identified via Primary Care.

OBJECTIVE: As health-related social needs (HRSN) screening increases, attention to families' resource preferences lags. This study of a pediatric primary care intervention (DULCE) with reliable HRSN screening and resource connection explored whether resources adequately addressed families' needs and, when HRSN persisted, families' reasons for declining resources. METHODS: This retrospective cohort, mixed-methods study analyzed data from 989 families that received care at seven pediatric clinics implementing DULCE in three states. DULCE screens for seven HRSN around the 1-month and 4-month well-child visits; we calculated the percent of initial and ongoing positive screens. For positive rescreens, we calculated the percent that had all eligible or wanted resources and that were interested in further resources. We also analyzed case notes, which elicited families' resource preferences, and explored demographic characteristics associated with ongoing HRSN. RESULTS: Half of enrolled families (508 of 989) initially screened positive for HRSN; 124 families had positive rescreens; 26 expressed interest in further assistance. Most families with ongoing concrete supports needs accessed all eligible resources (60-100%); 20-58% had everything they wanted. Fewer families with ongoing maternal depression and intimate partner violence accessed all eligible resources (48% and 18%, respectively); most reported having all wanted resources (76% and 90%, respectively). Families declined resources due to lack of perceived need, the HRSN resolving, or families addressed HRSN themselves. White families were more likely to rescreen positive. CONCLUSIONS: Pediatric medical homes must honor family-centered decision-making while empowering families to accept beneficial resources. Healthcare systems should advocate for resources that families need and want.

Case-Based Specialty Training for Medical Students to Elicit Social Determinants of Health.

Introduction: Without explicit education and training on how social determinants of health (SDoH) impact patient care and health outcomes, medical schools are failing to effectively equip future physicians to serve their patients. We created this workshop on health equity with a focus on SDoH to help students more effectively communicate with diverse populations. Methods: Third-year medical students and faculty were provided with class guides, learning objectives, role-play vignettes containing clerkship-specific history and physical exams, schedules, and discussion questions during a 2-hour session centered on SDoH. The workshop's impact was measured through mixed-methods analysis of surveys. Results: Based on pre- and postsurvey results from 87 participants, medical students strongly agreed that (1) SDoH factor more into a patient's health outcomes than the clinical encounter (pre: 67%, post: 87%), (2) it is their duty to gather information about SDoH (pre: 86%, post: 97%), (3) neighborhood safety is one of the key SDoH (pre: 88%, post: 97%), (4) they understood the impact of upstream interventions (pre: 35%, post: 93%), (5) they could efficiently screen all patients for SDoH at every medical encounter (pre: 27%, post: 86%), and (6) they could find preliminary resources to quickly assist patients in need of help regarding particular SDoH (pre: 26%, post: 85%). Discussion: This was the first iteration of this workshop; challenges involved piloting the content, time restraints, and organizational structure of the workshop design. Future directions include making SDoH curricula an integral part of undergraduate medical education and diverse clinical environments.

The Community Health Advocacy Initiative: A Longitudinal Experiential Curriculum in Community Engagement for Preclerkship Medical Students.

Introduction: Community partnership is a key strategy for addressing the social determinants of health and achieving health equity. There are few examples of curricula for undergraduate medical education that teach all, rather than self-selected, medical students to collaborate with community members to improve health. We describe the design and implementation of the Community Health Advocacy Initiative (CHAI) curriculum, a new yearlong educational program for medical students at Northwestern University's Feinberg School of Medicine. Methods: CHAI aimed to fill the curricular gap in social determinants of health education by providing medical students with the knowledge and skills to improve the health of patients through collaborations with community partners. This longitudinal curriculum included structured faculty mentorship and an applied community experience. Results: The CHAI curriculum was delivered to 164 second-year medical students in academic year 2021-2022. Faculty mentors rated most students as meeting expectations for application of community partnership principles and demonstration of professionalism. Qualitative analysis of faculty mentor comments demonstrated that medical students exhibited positive outcomes in engaging with community organizations, overcoming barriers, developing feasible and impactful goals, and advancing their own knowledge and skills. Discussion: Implementing a community health curriculum for all medical students is feasible and represents an important model for teaching about the importance of community partnerships in addressing the social determinants of health.