Bridging the gap to meet complex needs: an intersectoral action well supported by appropriate policies and governance.

Many people face problems about physical, mental, and social dimensions of health, and may have complex needs. They often experience a mismatch between their needs and the ability of the healthcare system to meet them, resulting in under- or overutilization of the healthcare system. On one hand, improving access to community-based primary healthcare for hard-to-reach populations should bring all healthcare and social services to one point of contact, near the community. On the other hand, better addressing the unmet needs of people who overuse healthcare services calls for integrated care among providers across all settings and sectors. In either case, intersectoral action between healthcare and social professionals and resources remains central to bringing care closer to the people and the community, enhancing equitable access, and improving health status. However, efforts to implement integrated care are unevenly weighted toward clinical and professional strategies (micro level), which could jeopardize our ability to implement and sustain integrated care. The development of appropriate policies and governance mechanisms (macro level) is essential to break down silos, promote a coherent intersectoral action, and improve health equity.

Factors influencing disparities in epilepsy surgery: analysis of the National Inpatient Sample and Kids' Inpatient Database.

OBJECTIVE: Despite the proven efficacy of surgical intervention for achieving seizure freedom and improved quality of life for many epilepsy patients, this treatment remains underutilized. In this study, the authors assessed sociodemographic trends in epilepsy surgery in the National Inpatient Sample (NIS) and the Kids' Inpatient Database (KID) and sought to determine whether disparities in surgical intervention for epilepsy may be attributed to insurance and comorbidity status. METHODS: This cross-sectional study utilized data from the NIS database and KID from the Healthcare Cost and Utilization Project between the years 2012 and 2018. Outcomes of interest were rates of neurosurgical intervention, including resection, neuromodulation, or laser ablation. The authors utilized logit regression models to test the association between rates of neurosurgical intervention and the variables of interest and calculated the adjusted mean proportion of patients who received surgery using marginal effects. RESULTS: Of 336,015 admissions with intractable epilepsy in the NIS, 6.1% were patients who underwent neurosurgical treatment. Of 39,655 admissions from KID, 5.0% received surgical treatment. Private insurance was associated with a greater odds of surgical intervention compared with Medicaid (NIS: OR 1.63, KID: OR 1.62; p < 0.001). Patients assigned White race had an increased odds ratio of undergoing surgery when compared with those assigned Black race, adjusted for comorbidity burden (NIS: OR 1.59, p < 0.001; KID: OR 1.44, p = 0.027). Patients with an Elixhauser Comorbidity Index score of 0 or 1 were associated with a lower likelihood of surgery when compared to their higher scoring counterparts who had 4 or more comorbidities (NIS: OR 0.74, KID: OR 0.62; both p < 0.001). CONCLUSIONS: This study demonstrates that marginalized patients and those with Medicaid had decreased odds of neurosurgical intervention for epilepsy. Results of this research support the need for increased attention toward epilepsy patients from marginalized groups. Further investigation into the root cause of socioeconomic inequities in epilepsy surgery is necessary.

An evaluation of conceptual frameworks to improve reproductive health outcomes among women with physical disabilities.

AIM(S): To identify and evaluate conceptual frameworks intended to guide reproductive health research among women with physical disabilities. DESIGN: Discussion paper. METHODS: We identified and evaluated frameworks related to the reproductive health of women with physical disabilities using modified criteria by Fawcett and DeSanto-Madeya with constructs from the International Classification of Functioning, Disability, and Health. DATA SOURCES: We conducted a systematic review of literature published from 2001 to 2024 in four databases. RESULTS: Our review revealed two frameworks: (1) A perinatal health framework for women with physical disabilities is applicable to studies that consider multiple socioecological determinants in pregnancy; (2) A conceptual framework of reproductive health in the context of physical disabilities can guide the development of patient-reported outcome measures for a range of reproductive health outcomes. CONCLUSION: The identified frameworks have high potential to guide studies that can improve the reproductive health of women with physical disabilities. However, they have low social congruence among racially and ethnically minoritized women. IMPLICATIONS FOR NURSING: Future frameworks must take an intersectional approach and consider the compounding injustices of ableism, racism, classism and ageism on reproductive health. A holistic approach that is inherent to the discipline of nursing is essential to address these knowledge gaps. IMPACT: The reproductive health of women with disabilities is a research priority. Nurses and other researchers can select the framework most applicable to their research questions to guide study designs and should incorporate multi-level determinants to eliminate reproductive health disparities.

Examining ADHD and Cognitive Disengagement Syndrome Symptoms in Relation to Food Insecurity in Early Adolescents.

Approximately 13.8 million U.S. households face food insecurity, which severely affects child development, with more than half of these households including children. Research links food insecurity to cognitive deficits and mental health challenges, highlighting the need for thorough understanding and intervention. Although existing studies have explored the association between food insecurity and internalizing symptomatology, less research has examined food insecurity in relation to attention-deficit/hyperactivity disorder (ADHD) symptoms. Further, no studies have explored the connection between food insecurity and cognitive disengagement syndrome (CDS) symptoms, closely related to ADHD symptoms. Despite extant research linking CDS to environmental factors, empirical attention to its potential association with food insecurity is notably lacking. Additionally, adolescents, almost twice as likely as younger children to experience household food insecurity, are likely more aware and respond differently to challenges during this developmental period. Accordingly, this study investigated the unique associations of parent-, teacher-, and youth self-reported ADHD dimensions and CDS symptoms in relation to parent-reported food insecurity in early adolescents (N = 136, ages 10-12). Controlling for age, sex, race, and medication use, no informant's ratings of ADHD symptom dimensions were uniquely related to food insecurity. In contrast, higher parent-, teacher-, and youth self-reported CDS symptoms were uniquely associated with greater food insecurity. This finding was robust to additional control of family income for teacher- and youth self-reported CDS symptoms. These findings highlight the complex link between food insecurity and mental health, suggest a connection with CDS symptoms, and stress the need to address food insecurity as a public health priority, especially in early adolescence.

Using social risks to predict unplanned hospital readmission and emergency care among hospitalized Veterans.

OBJECTIVES: (1) To estimate the association of social risk factors with unplanned readmission and emergency care after a hospital stay. (2) To create a social risk scoring index. DATA SOURCES AND SETTING: We analyzed administrative data from the Department of Veterans Affairs (VA) Corporate Data Warehouse. Settings were VA medical centers that participated in a national social work staffing program. STUDY DESIGN: We grouped socially relevant diagnoses, screenings, assessments, and procedure codes into nine social risk domains. We used logistic regression to examine the extent to which domains predicted unplanned hospital readmission and emergency department (ED) use in 30 days after hospital discharge. Covariates were age, sex, and medical readmission risk score. We used model estimates to create a percentile score signaling Veterans' health-related social risk. DATA EXTRACTION: We included 156,690 Veterans' admissions to a VA hospital with discharged to home from 1 October, 2016 to 30 September, 2022. PRINCIPAL FINDINGS: The 30-day rate of unplanned readmission was 0.074 and of ED use was 0.240. After adjustment, the social risks with greatest probability of readmission were food insecurity (adjusted probability = 0.091 [95% confidence interval: 0.082, 0.101]), legal need (0.090 [0.079, 0.102]), and neighborhood deprivation (0.081 [0.081, 0.108]); versus no social risk (0.052). The greatest adjusted probabilities of ED use were among those who had experienced food insecurity (adjusted probability 0.28 [0.26, 0.30]), legal problems (0.28 [0.26, 0.30]), and violence (0.27 [0.25, 0.29]), versus no social risk (0.21). Veterans with social risk scores in the 95th percentile had greater rates of unplanned care than those with 95th percentile Care Assessment Needs score, a clinical prediction tool used in the VA. CONCLUSIONS: Veterans with social risks may need specialized interventions and targeted resources after a hospital stay. We propose a scoring method to rate social risk for use in clinical practice and future research.

Determinants of intended prevention behaviour against mosquitoes and mosquito-borne viruses in the Netherlands and Spain using the MosquitoWise survey: cross-sectional study.

BACKGROUND: Recently, Europe has seen an emergence of mosquito-borne viruses (MBVs). Understanding citizens' perceptions of and behaviours towards mosquitoes and MBVs is crucial to reduce disease risk. We investigated and compared perceptions, knowledge, and determinants of citizens' behavioural intentions related to mosquitoes and MBVs in the Netherlands and Spain, to help improve public health interventions. METHODS: Using the validated MosquitoWise survey, data was collected through participant panels in Spain (N = 475) and the Netherlands (N = 438). Health Belief Model scores measuring behavioural intent, knowledge, and information scores were calculated. Confidence Interval-Based Estimation of Relevance was used, together with potential for change indexes, to identify promising determinants for improving prevention measure use. RESULTS: Spanish participants' responses showed slightly higher intent to use prevention measures compared to those of Dutch participants (29.1 and 28.2, respectively, p 0.03). Most participants in Spain (92.2%) and the Netherlands (91.8%) indicated they used at least one prevention measure, but differences were observed in which types they used. More Spanish participants indicated to have received information on mosquitoes and MBVs compared to Dutch participants. Spanish participants preferred health professional information sources, while Dutch participants favoured government websites. Determinants for intent to use prevention measures included "Knowledge", "Reminders to Use Prevention Measures", and "Information" in the Netherlands and Spain. Determinants for repellent use included "Perceived Benefits" and "Cues to Action", with "Perceived Benefits" having a high potential for behavioural change in both countries. "Self-Efficacy" and "Knowledge" were determinants in both countries for breeding site removal. CONCLUSION: This study found differences in knowledge between the Netherlands and Spain but similarities in determinants for intent to use prevention measures, intent to use repellents and intent to remove mosquito breeding sites. Identified determinants can be the focus for future public health interventions to reduce MBV risks.

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.

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).

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.

Social factors associated with the risk of glaucoma suspect conversion to glaucoma: analysis of the nationwide All of Us Program.

PURPOSE: To examine social factors associated with the 5-year risk of glaucoma suspects (GS) converting to open-angle glaucoma (OAG). DESIGN: Retrospective cohort analysis. SUBJECTS: We screened for participants diagnosed with GS in the All of Us database. Cases that converted to OAG within 5 years of GS diagnosis (the "conversion group") were compared with control cases that did not convert. METHODS: Demographic, socioeconomic and healthcare utilization data of the cases were extracted and compared between the conversion group and the control group. Multivariable Cox proportional hazards modeling was used to identify potential factors associated with the risk of conversion. MAIN OUTCOME MEASURES: Hazard ratios (HRs) of significant factors associated with the risk of conversion. RESULTS: A total of 5274 GS participants were identified, and 786 (15%) cases converted to OAG within 5-year follow-up. The two groups showed significant differences in age, race, gender, employment status, income/education level, history of intra-ocular surgery, and healthcare utilization patterns. In the multivariable model, African American/Black race (HR [95% confidence interval] =1.70 [1.44-2.00]), older age at GS diagnosis (1.17 [1.09-1.25]), male gender (1.30 [1.13-1.50], no history of recreational drug use (1.23 [1.07-1.42]), history of intra-ocular surgery (1.60 [1.02-1.53]) and having more reasons for delayed healthcare access (2.27 [1.23-4.18]) were associated with a greater hazard of conversion, while being employed (0.71 [0.60-0.86]) was associated with a smaller hazard of conversion (P<0.05 for all). CONCLUSIONS: Several social factors were associated with the conversion from GS to OAG, which may help to identify patients at higher risk of disease progression. Future studies are needed to examine the basis for these findings and the potential interventions that could address them.

Hospitals' collection and use of data to address social needs and social determinants of health.

OBJECTIVE: To assess differences in hospitals' collection and use of data on patients' health-related social needs (HRSN) by availability of programs or strategies in place to address patients' HRSN and social determinants of health (SDOH) of communities. DATA SOURCES: The 2021 American Hospital Association Annual Survey and 2022 Information Technology (IT) Supplement. STUDY DESIGN: This cross-sectional study described hospitals' engagement in screening and the availability of programs or strategies to address nine different HRSN. We assessed differences in screening rates and uses of data collected through screening among hospitals with and without programs or strategies in place to address HRSN or SDOH using Chi-squared tests of independence. DATA COLLECTION/EXTRACTION METHODS: Analyses were restricted to IT Supplement respondents with complete data for social needs questions asked in the Annual Survey (N = 1997). PRINCIPAL FINDINGS: In 2022, hospitals used social needs data collected through screening for various purposes including discharge planning and clinical decision-making at their hospital as well as to refer patients to needed resources and assess community-level needs. Hospitals with a program or strategy in place had higher rates of screening across all domains and higher rates of using of data collected through screening for uses involving exchange or coordination with external entities. CONCLUSIONS: Collection of social needs data may help inform the development of programs or strategies to address HRSN and SDOH, which in turn can enable providers to screen for these needs and use the data in the near term for care delivery and in the long term to address community and population needs.

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.

Individual- and community-level social determinants of health are associated with cognition in older adults with focal epilepsy.

OBJECTIVE: Epilepsy is associated with significant health disparities, including access to specialized care and adverse outcomes that have been associated with several social determinants of health (SDOH). We sought to examine the relationship between individual- and community-level SDOH and cognitive outcomes in older adults with epilepsy. MATERIALS AND METHODS: We collected clinical, SDOH, and neuropsychological data in 57 older adults with epilepsy. Individual-level SDOH included patient factors (quality of education, income, insurance, marital status) and early-life environmental factors (parental education and occupation, childhood employment). Neighborhood deprivation was measured with the Area Deprivation Index (ADI). Stepwise regressions were conducted to examine the independent contribution of individual-level SDOH to cognitive performance, and Spearman rho correlations were conducted to examine the relationship between ADI and cognitive performance. The SDOH profiles of patients who met the criteria for cognitive impairment were examined. RESULTS: After controlling for clinical variables, patient factors (public health insurance, poorer quality of education) and early-life environmental factors (lower mother's education, lower father's and mother's occupational complexity, history of childhood employment) were significant predictors of lower performance on measures of global cognition, verbal learning and memory, processing speed, and executive function. Higher ADI values (greater disadvantage) were associated with lower scores on global cognitive measures, verbal learning and memory, and executive function. Patients who met criteria for cognitive impairment had, on average, a greater number of adverse SDOH, including lower household incomes and father's education, and higher ADI values compared to those who were cognitively intact. CONCLUSION: We provide new evidence of the role of individual- and community-level SDOH on cognitive outcomes in older adults with epilepsy. This emerging literature highlights the need to examine SDOH beyond epilepsy-related clinical factors. These data could inform the development of interventions focused on increasing access to epilepsy care, education, and resources and promoting brain and cognitive health within the most at-risk communities.

Examining Heart Failure Outcomes Amidst Housing Insecurity.

BACKGROUND: How housing insecurity might affect patients with heart failure (HF) is not well characterized. Housing insecurity increases risks related to both communicable and non-communicable diseases. For patients with HF, housing insecurity likely increases the risk for worse outcomes and rehospitalizations. METHODS AND RESULTS: We analyzed U.S. HF hospitalizations using the 2020 National Inpatient Sample (NIS) and Nationwide Readmissions Database (NRD) to evaluate the impacts of housing insecurity on HF outcomes and hospital utilization. Individuals were identified as having housing insecurity using diagnostic ICD-10 codes. Demographics and comorbidities were compared between HF patients with and without housing insecurity. An adjusted logistic regression was performed to evaluate the relationships between housing insecurity and socioeconomic status on in-hospital mortality. Using a Cox proportional hazards model, HF patients with and without housing insecurity were evaluated for the risk of all-cause and HF-specific readmissions over time. Of the 1,003,270 hospitalizations for HF in the U.S. in 2020, 16,150 were identified as having housing insecurity (1.6%) and 987,120 were identified as having no housing insecurity (98.4%). The median age of patients with housing insecurity hospitalized for HF was 57, as compared to 73 in the population with no housing insecurity. A higher proportion of patients in the housing insecurity group were Black (35% vs 20.1%) or Hispanic (11.1% vs 7.3%). Patients with housing insecurity were more likely to carry a diagnosis of alcohol use disorder (15.2% vs 3.3%) or substance use disorder (70.2% vs 17.8%), but were less likely to use tobacco (18.3% vs 28.7%). Patients with housing insecurity were over 4.5 times more likely to have Medicaid (52.4% vs 11.3%). Median length of stay did not differ between patients with housing insecurity versus those without. Patients with housing insecurity were more likely to discharge Against Medical Advice (11.4% vs 2.03%). After adjusting for patient characteristics, housing insecurity was associated with lower in-hospital mortality (OR 0.60, 95% CI 0.39 - 0.92). Housing insecurity was associated with a higher risk of all-cause readmissions at 180 days (HR 1.13, 95% CI 1.12 - 1.14). However, there was no significant difference in the risk of HF-specific readmissions at 180 days (HR 1.07, 95% CI 0.998 - 1.14) CONCLUSIONS: Patients with HF and housing insecurity have distinct demographic characteristics. They are also more likely to be readmitted after their initial hospitalization when compared to those without housing insecurity. Identifying and addressing specific comorbid conditions for patients with housing insecurity who are hospitalized for HF may allow clinicians to provide more focused care, with the goal of preventing morbidity, mortality, and unnecessary readmissions.