Leveraging the Social Determinants of Health: What Works?

Risk-Based Primary Prevention of Heart Failure: A Scientific Statement From the American Heart Association

The growing morbidity, mortality, and health care costs related to heart failure (HF) underscore the urgent need to prioritize its primary prevention. Whereas a risk-based approach for HF prevention remains in its infancy, several key opportunities exist to actualize this paradigm in clinical practice. First, the 2022 American Heart Association/American College of Cardiology/Heart Failure Society of America HF guidelines provided recommendations, for the first time, on the clinical utility of multivariable risk equations to estimate risk of incident HF. Second, the American Heart Association recently developed the PREVENT (Predicting Risk of Cardiovascular Disease Events) equations, which not only enable prediction of incident HF separately, but also include HF in the prediction of total cardiovascular disease. Third, the predominant phenotype of HF risk has emerged as the cardiovascular-kidney-metabolic syndrome. Fourth, the emergence of novel therapies that prevent incident HF (eg, sodium-glucose cotransporter-2 inhibitors) and target multiple cardiovascular-kidney-metabolic axes demonstrate growing potential for risk-based interventions. Whereas the concept of risk-based prevention has been established for decades, it has only been operationalized for atherosclerotic cardiovascular disease prevention to date. Translating these opportunities into a conceptual framework of risk-based primary prevention of HF requires implementation of PREVENT-HF (Predicting Risk of Cardiovascular Disease Events-Heart Failure) equations, targeted use of cardiac biomarkers (eg, natriuretic peptides) and echocardiography for risk reclassification and earlier detection of pre-HF, and definition of therapy-specific risk thresholds that incorporate net benefit and cost-effectiveness. This scientific statement reviews the current evidence for accurate risk prediction, defines strategies for equitable prevention, and proposes potential strategies for the successful implementation of risk-based primary prevention of HF.

Addressing social and health needs in health care: Characterizing case managers' work to address patient-defined goals

OBJECTIVE

To test quantitative process measures characterizing the work of social needs case managers as they assisted patients with diverse health-related needs-spanning both medical and social domains.

STUDY SETTING AND DESIGN

The study analyzed secondary data on 7076 patients working with 147 case managers from the CommunityConnect social needs case management program in Contra Costa County, California from 2018 to 2021. The service-designed to be holistic with a focus on social determinants as root causes of health issues-helped patients navigate social services, health care, and mental health care.

DATA SOURCES AND ANALYTIC SAMPLE

We used cross-sectional analyses to quantitatively characterize electronic health records (EHRs) derived measures of case management intensity (goal updates), duration (days goal was open), and outcomes for 19 different categories of health and social goals. Mixed-effects regression models were used to examine how work process measures varied according to goal categories. Models nested goals within patients within case managers and adjusted for patient-level covariates.

PRINCIPAL FINDINGS

The most common goals were dental care (53%), food (40%), and housing (39%). In adjusted analyses, housing goals had significantly more case manager updates than any other type of goal with a marginal mean of 14.0 updates (95% CI: 13.4-14.7), were worked on for significantly longer (marginal mean of 417 days, 95% CI: 360-474) than any goal except dental care, and were least likely to be resolved. Utilities, insurance, and medication coordination goals were most likely to be resolved.

CONCLUSIONS

Case managers and patients repeatedly worked on goals over many months. Meeting housing needs and accessing dental care were issues that were not easily resolved and required extensive follow-up. One-time referral interventions may need follow-up systems to meaningfully support social and health needs.

Unmet social needs and diverticulitis: a phenotyping algorithm and cross-sectional analysis

OBJECTIVE

To validate a phenotyping algorithm for gradations of diverticular disease severity and investigate relationships between unmet social needs and disease severity.

MATERIALS AND METHODS

An algorithm was designed in the All of Us Research Program to identify diverticulosis, mild diverticulitis, and operative or recurrent diverticulitis requiring multiple inpatient admissions. This was validated in an independent institution and applied to a cohort in the All of Us Research Program. Distributions of individual-level social barriers were compared across quintiles of an area-level index through fold enrichment of the barrier in the fifth (most deprived) quintile relative to the first (least deprived) quintile. Social needs of food insecurity, housing instability, and care access were included in logistic regression to assess association with disease severity.

RESULTS

Across disease severity groups, the phenotyping algorithm had positive predictive values ranging from 0.87 to 0.97 and negative predictive values ranging from 0.97 to 0.99. Unmet social needs were variably distributed when comparing the most to the least deprived quintile of the area-level deprivation index (fold enrichment ranging from 0.53 to 15). Relative to a reference of diverticulosis, an unmet social need was associated with greater odds of operative or recurrent inpatient diverticulitis (OR [95% CI] 1.61 [1.19-2.17]).

DISCUSSION

Understanding the landscape of social barriers in disease-specific cohorts may facilitate a targeted approach when addressing these needs in clinical settings.

CONCLUSION

Using a validated phenotyping algorithm for diverticular disease severity, unmet social needs were found to be associated with greater severity of diverticulitis presentation.

Chaplains' reports of integration in community health initiatives: a qualitative study

Health care and religious organizations have a long history with one another. Chaplains' investments in the health and wellbeing of their local communities have extended beyond the hospital walls for longer than many chaplains may recognize. However, the published evidence suggests these efforts have been limited. Given the history of health care evolution in the United States, the small evidence of cases highlighting chaplains' leadership within community health initiatives, and the pressure for health systems to address the social determinants of health, we sought to explore chaplains' integration in community health and wellness initiatives. This paper presents the results of a qualitative analysis of interviews with chaplains working to promote community health and wellness (n = 10). The identified themes highlight factors at the individual chaplain level, such as how chaplains got involved, characteristics of the chaplains' contexts, and the impact of chaplains' involvement.

Equitable Access to Lifestyle Medicine: FQHCs, YMCAs, Trauma-Informed Health Coaching, and "Community as Medicine"

Without intentional and collaborative input from stakeholders and members of the communities we serve, Lifestyle Medicine (LM) is at risk of evolving in ways that are inapplicable and even alienating to diverse and underserved populations. To mitigate this risk, this paper advocates for implementing transdiagnostic, culturally affirmative, trauma-informed, and integrative treatment frameworks that address mental, social, and physical health in tandem. It demonstrates how the Community as Medicine model can bridge the divide between clinical settings such as Federally Qualified Health Centers (FQHCs) and community settings, such as YMCAs, improving accessibility for diverse groups. It also shows how emerging professional identities-exemplified by health coaches-can be cultivated to expand the reach of care while simultaneously opening pathways to employment. By centering inclusivity, cultural affirmation, and interprofessional collaboration, LM can more effectively meet the needs of vulnerable communities and enhance overall public health outcomes.

Natural disasters and SARS-CoV-2: potential risk factors for exacerbating mental health conditions among veterans

BACKGROUND

Puerto Rico and U.S. Virgin Islands Veterans (PRVs) have faced recurring challenges from hurricanes, earthquakes, and the COVID-19 pandemic. These events combined with prior traumas and social determinants of health (SDoH), may contribute to neuropsychiatric mental health conditions (MHCs) like post-traumatic stress disorder (PTSD) and substance use disorder (SUD) in PRVs affected by SARS-CoV-2.

METHODS

To clinically characterize the risk factors for MHCs among SARS-CoV-2 infected PRVs, we examined 839 records (2016-2020) to study SARS-CoV-2 infections and MHCs. Records were assessed for (i) PTSD and SUD using health data at diagnosis; (ii) clinical details pre-hurricanes (control; group 1), during hurricanes (group 2), and pandemic (group 3). Groups 1 and 2 were reviewed in 2020 to gauge exacerbation. Patient Health Questionnaire (PHQ-2/PHQ-9), PTSD checklist (PCL-5), Alcohol Use Disorders Identification Test (AUDIT), SDoH, and other tools were used for clinical evaluation, with the data analyzed using logistic regression.

RESULTS

Health data indicated SARS-CoV-2 infection in 21 PRVs. Earthquakes did not affect the infected PRVs nor did SDoH have any significant impact. Clinical analysis revealed that SUD worsened during hurricanes and exacerbation of all MHCs occurred during the pandemic among SARS-CoV-2 infected PRVs.

CONCLUSIONS

These results underscore the fact that the combination of natural disasters like hurricanes and SARS-CoV-2 had synergistically contributed to the deterioration of neuropsychiatric MHCs, therefore warranting equitable MH support.

Health-Related Social Needs Discussions in Primary Care Encounters in Safety-Net Clinics: A Qualitative Analysis

Importance

Health-related social needs (HRSN) influence health outcomes and health care utilization. Clinicians face challenges addressing HRSN due to limited skills, expertise, and time. Further insight is needed on how patients and clinicians navigate HRSN in clinical encounters.

Objective

This study examines outpatient primary care encounters predating widespread HRSN screening to identify how discussions on HRSN are initiated and addressed.

Design, Setting, and Participants

This qualitative analysis was conducted on transcripts of 97 audiotaped English-speaking patient encounters from 3 clinics in New York City within a municipal health care system from January 2011 through April 2015. Patients were eligible if they were older than 18 years, self-identified as Black or White, had a diagnosis of hypertension, and had at least one prior encounter with the participating clinician. Codes were developed from social needs domains addressed by the Accountable Health Communities HRSN Screening Tool. Codes were added for further social needs identified, whether a patient or clinician initiated the HRSN discussion, and how a social need was addressed, if at all. Encounters were analyzed between June 2023 and February 2024.

Main Outcomes and Measures

Characterization of the content and nature of HRSN discussions during clinical encounters within safety-net clinics.

Results

A total of 97 patients (55 [56.7%] women, 58 [59.8%] Black, mean [SD] age, 59.7 [10.6] years) had audiotaped encounters with 27 clinicians (18 [66.7%] women, 15 [55.6%] White, mean [SD] age, 36 [5.8] years). Physical activity (36% of encounters), financial strain (35%), mental health (34%), and substance use (28%) were the most discussed HRSN domains across the 97 encounters. Patients introduced financial strain most often (70% of the time), while clinicians led substance use (75%), physical activity (51%) and mental health (51%) discussions. Patients initiated conversations on employment (77%), food insecurity (62%), and housing instability (52%). Interventions included prescriptions, forms, counseling, and referrals. Domains frequently intervened on included health care navigation needs (85% of discussions), substance use (33%), and mental health (27%).

Conclusions and Relevance

In this qualitative study of HRSN discussions in primary care encounters, clinicians were more likely to initiate discussions on substance use, physical activity, and mental health, behaviors routinely assessed in primary care, but different from topics introduced by patients. Findings underscore the need for standardized screening to improve identification of domains less frequently addressed by clinicians. Additional interventions are also needed, including clinician training for how to address HRSN in resource-constrained settings and integration of other health care team members, to enhance HRSN identification and intervention.

How epigenetic inheritance fails to explain the Black-White health gap

Slavery, legal segregation, and ongoing discrimination have exacted an unfathomable toll on the black population in the United States, particularly with respect to the impact on health outcomes. In recent years, various researchers and activists have suggested that racial disparities in the modern era can be attributed directly to the trauma of slavery, postulating that these unspeakable traumas led to epigenetic changes in slaves-changes that have since been passed down to subsequent generations. Investigating those claims in this paper, we comprise a review of previous literature that considers the potential for transgenerational epigenetic transmission of trauma in humans. However, we find that there is little evidence to indicate the presence of transgenerational epigenetic transmission of trauma in humans. We find no prior evidence that supports (or is relevant to) the notion that the black-white health gap stems from the inherited trauma of slavery. We conclude that, given the ongoing traumas black Americans are exposed to in modern America, it is much more likely that present-day racial health disparities are due to more direct and current mechanisms than transgenerational transmission of slavery-era trauma.

National analysis of health-related social needs among adult injury survivors

BACKGROUND

Despite advances in trauma care, the effects of social determinants of health continue to be a barrier to optimal health outcomes. Health-related social needs (HRSNs), now the basis of a Centers for Medicare and Medicaid Services national screening program, may contribute to poor health outcomes, inequities, and low-value care, but the impact of HRSNs among injured patients remains poorly understood at the national level.

METHODS

Using data from the nationally representative 2021 Medical Expenditure Panel Survey, injured patients were matched with uninjured controls via coarsened exact matching on age and sex. We then determined the prevalence of HRSNs based on core needs identified by Centers for Medicare and Medicaid Services: food, utilities, living situation, transportation, and personal safety. We used multivariable regression models to evaluate the association between HRSNs and health, delays in care, and emergency department visits.

RESULTS

Overall, 43% of injured patients reported one or more HRSNs. Compared with uninjured controls, injured patients were more likely to have unmet needs in all five HRSN domains (adjusted odds ratio, 1.44-2.00; p < 0.05 for all). In stratified analyses, HRSNs were highest among patients with lower income (65.1%), those who identified as Non-Hispanic Black patients (61.3%), and patients with Medicaid (66.1%). Increasing number of HRSNs was associated with worse physical and mental health ( p < 0.05). Injured patients with three or more HRSNs were also more likely to delay care because of cost (adjusted odds ratio, 3.79; 95% confidence interval, 2.29-6.27) and had greater emergency department utilization (adjusted incidence rate ratio, 1.47; 95% confidence interval, 1.16-1.87).

CONCLUSION

In this nationally representative study, nearly half of injured patients had one or more HRSNs. Greater numbers of HRSNs were associated with worse health outcomes, delayed care, and low-value care. As national screening for HRSNs is implemented, strategies to address these factors are needed and may serve to optimize health and health care utilization among injury survivors.

LEVEL OF EVIDENCE

Prognostic and Epidemiological; Level III.

Continuous Quality Improvement in Social Needs Screening: Evaluation of an Intervention in Bariatric Specialty Care

INTRODUCTION

With growing recognition of the influence that social risks, such as food insecurity and housing instability, have on individual and population health, social risk screening and social care interventions have proliferated across the health system. Social needs intervention research on screening and referral in specialty care is limited, despite evidence that social needs influence access to and outcomes of surgical and specialty care.

METHODS

This study is a qualitative, formative evaluation of a quality improvement-oriented social needs screening and referral pilot program implemented in a bariatric surgery practice and aims to share lessons related to the structure and process components of a quality improvement (QI) framework.

RESULTS

Semistructured interviews revealed variation in patient eligibility for resources and highlighted the need for enhanced staff capacity and data system integration. In addition, process-related themes including patient hesitation toward referrals, variability in screening pathways, and uncertainty surrounding communication practices emerged in qualitative analyses.

CONCLUSIONS

Implementation of social needs screening and referral programs in specialty care setting is feasible but requires unique structure and process-related considerations. Incorporating QI infrastructure into these programs allows for continuous evaluation of program processes and can be used to evaluate the impact of these programs on health outcomes.

Social, Racial, and Economic Disparities Affecting Outcomes of Hypertensive Adolescents

Essential hypertension is one of the most common conditions managed in pediatric cardiology and can result in lasting deleterious effects on the cardiovascular system. Pediatric hypertension is so prevalent in the United States that it is often referred to as a public health challenge. Social determinants of health (SDH) are the cultural, economic, educational, healthcare accessibility, and political influences in the environment in which an individual is born or lives, all of which can affect that individual's overall health. This study investigated the impact of social determinants such as rurality, food insecurity, transportation challenges, minority status, income, and race on cardiovascular outcomes in adolescent patients with essential hypertension. This study utilizes multiple validated tools including those from the United States Census and the United States Department of Agriculture (USDA). Using these tools, the patients were scored on their social vulnerability based on home address. These scores were then compared with their echocardiographic data, focusing on measures of end-organ damage known to occur in the setting of hypertension, including but not limited to indexed left ventricular (LV) mass. LV mass is an independent risk factor for future adverse cardiovascular events. In this study, more social vulnerability and low income were associated with a greater indexed LV mass (r = 0.18, p = 0.008). African American race was associated with a higher left atrial (LA) volume (p = 0.03). These findings substantiate that adolescents with essential hypertension are not only impacted by biological factors but also a combination of intersecting social constructs. The results of this study provide both a deeper understanding of the challenges these patients face and the opportunity to develop real-life interventions that can optimize clinical outcomes.

Social Determinants of Health Impact Complications Following Free-Flap Reconstruction for Head and Neck Cancer

OBJECTIVE

Head and neck cancers (HNCs) have increased in prevalence and often require free-flap reconstruction (FFR) after tumor ablation. Postoperative complications following FFR can be high, occurring in as many as 48% and 71% of cases. HNC patients also have many disparities in Social Determinants of Health (SDOH), but the potential impact of SDOH disparities on postoperative complications following FFR has not been formally assessed.

STUDY DESIGN

Retrospective cohort review.

SETTING

Academic Tertiary Care Institution in Northeast United States.

METHODS

Patients that underwent head and neck FFR between January 2018 and December 2021 were analyzed to determine associations between quartiles of the national Area Deprivation Index (ADI), a proxy for SDOH disparity, and various medical and surgical postoperative complications. Associations were assessed using χ2 analysis.

RESULTS

Two hundred four patients were included in the study, and 61 patients had 97 complications. Significant associations between higher national ADI quartile and incidence of several postoperative complications were identified, including any surgical complication (P = .0419), wound dehiscence (P = .0494), myocardial infarction (MI) (P = .0215), and sepsis (P = .0464).

CONCLUSION

There are significant associations between SDOH disparities and postoperative surgical complications, wound dehiscence, MI, and sepsis following head and neck FFR. Addressing SDOH disparities in HNC is pivotal to enhance postoperative outcomes and promote holistic patient care.

Examining the Relationship Between Local Governmental Expenditures on the Social Determinants of Health and County-Level Overdose Deaths, 2017-2020

CONTEXT

Prior studies have examined the social determinants of health (SDOH) characteristics of counties with elevated rates of overdose deaths. However, this research often ignores variation in upstream governmental investment in these SDOH categories.

OBJECTIVE

To examine the association of local governmental investments in SDOH with drug overdose mortality at the county level, controlling for demographic and socioeconomic characteristics.

DESIGN

Longitudinal analysis from 2017 to 2020.

SETTING

United States counties.

PARTICIPANTS

3126 counties.

MAIN OUTCOME AND MEASURES

The primary study outcome was county overdose death rates per 100 000 population taken from the Centers for Disease Control and Prevention. The main predictor of interest was the per capita average of local governmental expenditures in public health, social service, and education drawn from the US Census of Governments, categorized into quartiles. Covariates included county-level socioeconomic and demographic characteristics as well as county-level SUD services from the AHRQ SDOH Database.

RESULTS

In longitudinal multivariate linear regression models with state and year fixed effects, counties in the highest 3 quartiles of SDOH spending had significantly lower rates of overdose deaths compared with counties in the lowest quartile of SDOH spending; in particular, counties in quartile 2 had an average of 9.09 fewer overdose deaths per 100 000 population (95% CI: -12.58, -5.60), counties in quartile 3 had an average of 13.18 fewer deaths per 100 000 population (95% CI: -17.56; -8.80), and counties in quartile 4 had an average of 13.92 deaths per 100 000 population (95% CI: -19.16, -8.68).

CONCLUSIONS

Our findings demonstrate that higher levels of local governmental investments in SDOH were associated with significantly lower rates of overdose death in US counties after controlling for socioeconomic and demographic characteristics. Going forward, research should focus on determining causality in this relationship, the mechanisms through which this relationship occurs, as well as assess the impact of local public health expenditures allocated toward SUD prevention and treatment specifically on substance use outcomes at the local level.

People who use drugs and the right to health

Support for a human rights framework for drug policy has been growing for some years. This year, the UNODC published a chapter in the World Drug Report focussed on the right to health. In this paper, we draw attention to the conceptualisation of the right to health for people who use drugs. While one essential element is access to appropriate, high quality, and affordable healthcare, this needs to occur hand-in-hand with two other central components of the right to health - the right to conditions that promote health (the social, economic, legal, commercial, and cultural determinants of health) and the right to meaningful participation in healthcare decisions and in health policy. We consider these three components of a right to health against the current international drug control regime. More specifically we point to how the three drug conventions (1966 as amended 1972, 1971 and 1988) make explicit mention of the right to health. In this way, we argue that duties to respect, protect and provide the right to health for people who use drugs accrue through being a signatory to the drug conventions. Given that there does not appear to be international appetite to abandon the current treaties, and notwithstanding the strong impression that they reinforce a criminalisation approach to people who use drugs, the work herein may afford another avenue for effective advocacy about the right to health.

Development and Usability of the OHiFamily Mobile App to Enhance Accessibility to Maternal and Infant Information for Expectant Families in Ohio: Qualitative Study

BACKGROUND

The Infant Mortality Research Partnership in Ohio is working to help pregnant individuals and families on Medicaid who are at risk for infant mortality and preterm birth. As part of this initiative, researchers at The Ohio State University worked to develop a patient-facing mobile app, OHiFamily, targeted toward, and created for, this population. To address the social determinants of health that can affect maternal and infant health, the app provides curated information on community resources, health care services, and educational materials in a format that is easily accessible and intended to facilitate contact between families and resources. The OHiFamily app includes 3 distinct features, that is, infant care logging (eg, feeding and diaper changes), curated educational resources, and a link to the curated Ohio resource database (CORD). This paper describes the development and assessment of the OHiFamily app as well as CORD.

OBJECTIVE

This study aimed to describe the development of the OHiFamily mobile app and CORD and the qualitative feedback received by the app's intended audience.

METHODS

The researchers performed a landscape analysis and held focus groups to determine the resources and app features of interest to Ohio families on Medicaid.

RESULTS

Participants from several focus groups were interested in an app that could offer community resources with contact information, information about medical providers and information and ways to contact them, health tips, and information about pregnancy and infant development. Feedback was provided by 9 participants through 3 focus group sessions. Using this feedback, the team created a curated resource database and mobile app to help users locate and access resources, as well as access education materials and infant tracking features.

CONCLUSIONS

OHiFamily offers a unique combination of features and access to local resources for families on Medicaid in Ohio not seen in other smartphone apps.

Community Mental Health Workers: Their Workplaces, Roles, and Impact

Mental health care in the U.S. is at a critical crisis, compounded with a severe shortage of providers. The cost burden is immense, with severe disparity seen in traditionally marginalized communities and rural populations. Community health workers have been used to increase access to physical health care in the U.S. for over seventy years-and have been used abroad for centuries. Their use in mental health care is more recent and can increase access, but raises policy, reimbursement, triage, and scopes-of-practice considerations. They are especially beneficial for many at-risk populations including communities of color, those with serious mental illness, rural communities, the elderly, and youth. This literature review searched PubMed, EMBASE, and Google Scholar and provides a broad review of the different types of community mental health workers (community health workers/promotores de salud, peer support, peer navigators, and lay counselors), how they increase access to care, skill sets, practice locations, and uses for specific at-risk populations. Increasing and expanding the use of community mental health workers expands much needed mental health care to those at risk by task-shifting the burden on the traditional professional workforce, offering a solution to both the workforce shortage and the lack of equity in mental health care.

Social Determinants of COVID-19 Pandemic Control: Participatory Learnings From Everyday Experiences in Cape Town, South Africa

INTRODUCTION

As countries adapted their disaster responses to the COVID-19 pandemic, South Africa responded with an alert-level risk approach based on epidemiological principles that impacted all societal levels. We explored the everyday experiences of people in Cape Town whose basic needs were met and who could report on the realities of the COVID-19 pandemic control. Gaining insight into their perspectives contributes to knowledge that can inform policies and practices for managing future public health crises.

METHODS

Community-Based Participatory Research principles guided the design and a series of facilitated dialogues with 18 research participants. The thematic analysis was deepened through two colloquiums with members of an overarching research consortium and a participant reflection workshop.

FINDINGS

The pandemic impacted individuals, their interpersonal relationships, workplaces and communities, leading to societal processes such as stigma, virtue signalling and the subversion of mandates. The public health response had mixed reactions, with useful information about preventive measures being diluted by COVID-19 denialism and fake news. Health and other authorities were frequently perceived as out of touch with, and unresponsive to, the everyday realities of local communities.

CONCLUSIONS

Our study demonstrates the connectedness of people and the need to maintain and re-establish severed connections. A holistic approach to health care and promotion from social determinants of health and a community-engaged perspective may significantly increase the outcomes of public health responses.

PARTICIPANT AND PUBLIC CONTRIBUTION

People with everyday experience of the COVID-19 pandemic-including community members, healthcare workers, case managers, carers and researchers-collaborated on the study design, interview schedule, data interpretation, analysis and refinement of this article.

Relationships of race and area deprivation indices to outcomes in pediatric patients with inflammatory bowel disease

OBJECTIVES

Social determinants of health (SDOH) are nonmedical factors that influence health outcomes. Children with chronic illnesses living with socioeconomic risk factors have higher rates of unfavorable health outcomes. Our study aimed to assess the association between area deprivation indices (ADI), as a proxy for SDOH, and outcomes in pediatric patients with inflammatory bowel disease (IBD).

METHODS

A retrospective chart review was conducted on 134 pediatric patients with IBD, ages 0-21 years. Explanatory variables were the patient's ADI and demographics. Outcomes were assessed from time of diagnosis over a 1-year follow-up period. The primary outcome was the ratio of missed to completed appointments; secondary outcomes were the numbers of IBD-related emergency department (ED) visits and IBD-related hospitalizations.

RESULTS

Race/ethnicity was significantly associated with ADI (p < 0.001). In a multivariable regression model, no variables were associated with ratio of missed to completed appointments. Notably, ADI was not significantly associated with the ratio of missed to completed appointments. In a Poisson regression, Black (non-Hispanic) and Hispanic race/ethnicity, Medicaid insurance, female gender, and lower age were significantly associated with more IBD-related ED visits; ADI was not. In a similar model, Black (non-Hispanic) race, Medicaid insurance status, and lower age were significantly associated with more IBD-related hospitalizations; ADI was not.

CONCLUSIONS

In our cohort, ADI was not significantly associated with the ratio of missed to completed appointments, IBD-related ED visits, and IBD-related hospitalizations; however, race/ethnicity, age at diagnosis, insurance, and gender were associated with these outcomes.

Studying Guaranteed Income in Oncology: Lessons Learned From Launching the Guaranteed Income and Financial Treatment Trial

By targeting income and financial stress as key social determinants of health, unconditional cash transfers (UCTs) may improve cancer health outcomes and reduce cancer health disparities. Described in policy circles as guaranteed or basic income, UCTs have been shown to improve a range of health outcomes in low-income populations but have not yet been examined as a targeted intervention for people with cancer. This article describes some of the lessons learned from launching the Guaranteed Income and Financial Treatment trial, a two-arm randomized controlled trial of UCTs in oncology, along with a rationale for studying UCTs in people with cancer who have low incomes, and presents an introductory primer on UCT research for oncology clinicians and researchers and future directions for research.

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.

How Child Health Financing and Payment Mitigate and Perpetuate Structural Racism

Health financing for children and youth comes mainly from commercial sources (especially, a parent's employer-sponsored insurance) and public sources (especially, Medicaid and Children's Health Insurance Plan [CHIP]). These 2 sources serve populations that differ in race and ethnicity. This inherent segregation perpetuates a system of disparities in health and health care. Medicaid (and CHIP) have become the largest single provider of health insurance to US children and youth, currently insuring over 50% of all children and youth, with even higher rates for children of racial and ethnic minorities. Medicaid provides substantial benefit to the populations it insures, with good evidence of both short- and long-term improved health and developmental outcomes, and better health and well-being as adults. Nonetheless, some characteristics of Medicaid, especially the major state-by-state variation in eligibility, enrollment practices, and covered services, along with persistent low payment rates, have helped to maintain a separate and unequal health program for racial and ethnic minority children and youth. Several changes in Medicaid-including linking CHIP more closely with Medicaid, strengthening national standards of payment and care, assuring coverage of all children, and incorporating social and family risk adjustment-could make the program even more beneficial and diminish racial differences in child health financing.

Association of socioeconomic vulnerability with clinical and financial outcomes following emergent hernia repair

BACKGROUND

While race and insurance have been linked with greater likelihood of hernia incarceration and emergent presentation, the association of broader social determinants of health (SDOH) with outcomes following urgent repair remains to be elucidated.

STUDY DESIGN

All adult hospitalizations entailing emergent repair for strangulated inguinal, femoral, and ventral hernias were identified in the 2016-2020 Nationwide Readmissions Database. Socioeconomic vulnerability was ascertained using relevant diagnosis codes. Multivariable models were developed to consider the independent associations between socioeconomic vulnerability and study outcomes.

RESULTS

Of ∼236,215 patients, 20,306 (8.6 ​%) were Vulnerable. Following risk-adjustment, socioeconomic vulnerability remained associated with greater odds of in-hospital mortality, any perioperative complication, increased hospitalization expenditures and higher risk of non-elective readmission.

CONCLUSIONS

Among patients undergoing emergent hernia repair, socioeconomic vulnerability was linked with greater morbidity, expenditures, and readmission. As part of patient-centered care, novel screening, postoperative management, and SDOH-informed discharge planning programs are needed to mitigate disparities in outcomes.

Healthcare workers' perspectives on a prescription phone program to meet the health equity needs of patients in the emergency department: a qualitative study

OBJECTIVES

People experiencing homelessness and marginalization face considerable barriers to accessing healthcare services. Increased reliance on technology within healthcare has exacerbated these inequities. We evaluated a hospital-based prescription phone program aimed to reduce digital health inequities and improve access to services among marginalized patients in Emergency Departments. We examined the perceived outcomes of the program and the contextual barriers and facilitators affecting outcomes.

METHODS

We conducted a constructivist qualitative program evaluation at two urban, academic hospitals in Toronto, Ontario. We interviewed 12 healthcare workers about their perspectives on program implementation and outcomes and analyzed the interview data using reflexive thematic analysis.

RESULTS

Our analyses generated five interrelated program outcomes: building trust with patients, facilitating independence in healthcare, bridging sectors of care, enabling equitable care for marginalized populations, and mitigating moral distress among healthcare workers. Participants expressed that phone provision is critical for adequately serving patients who face barriers to accessing health and social services, and for supporting healthcare workers who often lack resources to adequately serve these patients. We identified key contextual enablers and challenges that may influence program outcomes and future implementation efforts.

CONCLUSIONS

Our findings suggest that providing phones to marginalized patient populations may address digital and social health inequities; however, building trusting relationships with patients, understanding the unique needs of these populations, and operating within a biopsychosocial model of health are key to program success.

A Randomized Controlled Trial Testing the Effects of a Social Needs Navigation Intervention on Health Outcomes and Healthcare Utilization among Medicaid Members with Type 2 Diabetes

Health systems are increasingly assessing and addressing social needs with referrals to community resources. The objective of this randomized controlled trial was to randomize adult Medicaid members with type 2 diabetes to receive usual care (n = 239) or social needs navigation (n = 234) for 6 months and compare HbA1c (primary outcome), quality of life (secondary outcome), and other exploratory outcomes with t-tests and mixed-effects regression. Eligible participants had an HbA1c test in claims in the past 120 days and reported 1+ social needs. Data were collected from November 2019 to July 2023. Surveys were completed at baseline and at 3-, 6-, and 12-month follow-up. Health plan data included care management records and medical and pharmacy claims. The sample was from Louisiana, USA, M = 51.6 (SD = 9.5) years old, 76.1% female, 66.5% Black, 29.4% White, and 3.0% Hispanic. By design, more navigation (91.5%) vs. usual care (6.7%) participants had a care plan. Social needs persisted for both groups. No group differences in HbA1c tests and values were observed, though the large amount of missing HbA1c lab values reduced statistical power. No group differences were observed for other outcomes. Proactively eliciting and attempting to provide referrals and resources for social needs did not demonstrate significant health benefits or decrease healthcare utilization in this sample.

Social determinants of child abuse: Evidence from seven countries in sub-Saharan Africa

BACKGROUND

Child abuse is a dominant public health concern that permeates race, varied social contexts and culture. Child abuse comprises any act of omission or commission perpetrated by a child's parent, caregiver, or other adult leading to harm, potential for, or any threat of harm to a child (below age 18), either intentional or unintentional. This subject has usually been explored by focusing on men. This study investigated the prevalence and social correlates of child abuse across seven countries in sub-Saharan Africa.

METHODS AND MATERIALS

Data was obtained from Demographic and Health Surveys (DHS) conducted in seven countries in sub-Saharan Africa between 2013 and 2020. The outcome variable employed for this study was acts of child abuse (including shouting, striking, and slapping). Descriptive and inferential analyses were carried out. The descriptive analysis focused on the bivariate analysis between the country variable and the outcome variables. Multivariate analysis was, however, utilized to determine the relationship between the outcome variables and the respondents' explanatory variables, using a binary logistic regression model. The adjusted odds ratios for each variable were calculated using a 95% confidence range.

RESULTS

The proportion of women shouting at children was 72 percent. This ranged from 49.2 percent in Chad to 84.2 percent in Benin. The proportion of women striking children was 52.5 percent and this ranged from 37.1 percent in Chad to 63.8 percent in Benin. The odds of women striking their children was higher for those with children aged 10-14 (aOR = 1.18, CI = 1.03, 1.34), women with primary education (aOR = 1.25, CI = 1.17, 1.33), cohabiting women (aOR = 1.17, CI = 1.10, 1.25) and women who had experienced intimate partner violence (aOR = 1.06, CI = 1.00, 1.12). The odds of women shouting at their children was higher for those aged 30-34 years (aOR = 1.31, CI = 1.11, 1.55) and for working women (aOR = 1.43, 1.33, 1.56). The odds of women slapping their children was higher for those who justify wife-beating (aOR = 1.10, CI = 1.03, 1.16) and for women with richest wealth status (aOR = 1.25, CI = 1.17, 1.33).

CONCLUSIONS

The findings show that it is imperative for the governments of the countries studied, especially those with high prevalence like Benin, to consider parent-friendly and culturally acceptable non-formal educational initiatives that will dissuade parents and guardians from abusing children. Possibly, legal reforms that sanction harsher punishments to perpetrators of child abuse may help make child abuse less attractive to parents and guardians.

Development and validation of mortality prediction models based on the social determinants of health

BACKGROUND

There is no standardised approach to screening adults for social risk factors. The goal of this study was to develop mortality risk prediction models based on the social determinants of health (SDoH) for clinical risk stratification.

METHODS

Data were used from REasons for Geographic And Racial Differences in Stroke (REGARDS) study, a national, population-based, longitudinal cohort of black and white Americans aged ≥45 recruited between 2003 and 2007. Analysis was limited to participants with available SDoH and mortality data (n=20 843). All-cause mortality, available through 31 December 2018, was modelled using Cox proportional hazards with baseline individual, area-level and business-level SDoH as predictors. The area-level Social Vulnerability Index (SVI) was included for comparison. All models were adjusted for age, sex and sampling region and underwent internal split-sample validation.

RESULTS

The baseline prediction model including only age, sex and REGARDS sampling region had a c-statistic of 0.699. An individual-level SDoH model (Model 1) had a higher c-statistic than the SVI (0.723 vs 0.708, p<0.001) in the testing set. Sequentially adding area-level SDoH (c-statistic 0.723) and business-level SDoH (c-statistics 0.723) to Model 1 had minimal improvement in model discrimination. Structural racism variables were associated with all-cause mortality for black participants but did not improve model discrimination compared with Model 1 (p=0.175).

CONCLUSION

In conclusion, SDoH can improve mortality prediction over 10 years relative to a baseline model and have the potential to identify high-risk patients for further evaluation or intervention if validated externally.

Screening tools for employment in clinical healthcare delivery systems: a content analysis

BACKGROUND

The relationship between work and health is complex and bidirectional, where work can have both health-harming and health-enhancing effects. Though employment is recognized as a social determinant of health, and clinical healthcare delivery systems are increasingly using screening tools to ask patients about social needs, little research has explored the extent to which employment-related social risk is captured in these screening tools. This study aimed to identify and characterize employment- and work-related questions in social risk screening tools that have been implemented in clinical healthcare delivery systems.

METHODS

We conducted a qualitative content analysis of employment-related items in screening tools that have been implemented in clinical healthcare service delivery systems. Three content areas guided data extraction and analysis: Setting, Domain, and Level of Contextualization.

RESULTS

Screening tools that asked employment-related questions were implemented in settings that were diverse in the populations served and the scope of care provided. The intent of employment-related items focused on four domains: Social Risk Factor, Social Need, Employment Exposure, and Legal Need. Most questions were found to have a low Level of Contextualization and were largely focused on identifying an individual's employment status.

CONCLUSIONS

Several existing screening tools include measures of employment-related social risk, but these items do not have a clear purpose and range widely depending on the setting in which they are implemented. In order to maximize the utility of these tools, clinical healthcare delivery systems should carefully consider what domain(s) they aim to capture and how they anticipate using the screening tools to address social determinants of health.

Revising the Logic Model Behind Health Care's Social Care Investments

Policy Points This article summarizes recent evidence on how increased awareness of patients' social conditions in the health care sector may influence health and health care utilization outcomes. Using this evidence, we propose a more expansive logic model to explain the impacts of social care programs and inform future social care program investments and evaluations.

Predicting Provider Workload Using Predicted Patient Risk Score and Social Determinants of Health in Primary Care Setting

BACKGROUND

 Provider burnout due to workload is a significant concern in primary care settings. Workload for primary care providers encompasses both scheduled visit care and non-visit care interactions. These interactions are highly influenced by patients' health conditions or acuity, which can be measured by the Adjusted Clinical Group (ACG) score. However, new patients typically have minimal health information beyond social determinants of health (SDOH) to determine ACG score.

OBJECTIVES

 This study aims to assess new patient workload by first predicting the ACG score using SDOH, age, and gender and then using this information to estimate the number of appointments (scheduled visit care) and non-visit care interactions.

METHODS

 Two years of appointment data were collected for patients who had initial appointment requests in the first year and had the ACG score, appointment, and non-visit care counts in the subsequent year. State-of-art machine learning algorithms were employed to predict ACG scores and compared with current baseline estimation. Linear regression models were then used to predict appointments and non-visit care interactions, integrating demographic data, SDOH, and predicted ACG scores.

RESULTS

 The machine learning methods showed promising results in predicting ACG scores. Besides the decision tree, all other methods performed at least 9% better in accuracy than the baseline approach which had an accuracy of 78%. Incorporating SDOH and predicted ACG scores also significantly improved the prediction for both appointments and non-visit care interactions. The R 2 values increased by 95.2 and 93.8%, respectively. Furthermore, age, smoking tobacco, family history, gender, usage of injection birth control, and ACG were significant factors for determining appointments. SDOH factors such as tobacco usage, physical exercise, education level, and group activities were strongly correlated with non-visit care interactions.

CONCLUSION

 The study highlights the importance of SDOH and predicted ACG scores in predicting provider workload in primary care settings.

Trends in survival after heart transplantation based on Social Vulnerability Index in the United States

Background

The association of social vulnerability (SV) and cardiac transplant survival remains poorly defined, particularly related to long-term outcomes. The purpose of this study was to define the impact of SV on survival among heart transplant recipients with at least 1 year of survival post-transplant.

Methods

Heart transplant recipients were identified using the United Network for Organ Sharing database between June 1, 2006, and December 31, 2020. The Center for Disease Control's Social Vulnerability Index (SVI) database was used to stratify patients based on SVI into 3 groups: low: <25; average: 26 to 74; high: 75+. The groups were analyzed with comparative statistics, and unadjusted survival was assessed using Kaplan-Meier methods. To determine the independent association between SVI and survival, a multivariable Cox proportional hazard model was created.

Results

There were 27,740 recipients identified. High SVI patients more commonly identified as Black individuals and had a higher incidence of diabetes, pretransplant intensive care unit admission, and need for concomitant kidney transplant (p < 0.05 for all). Additionally, high SVI patients had the longest length of stay post-transplant (21.4 days) (p < 0.05). High and average SVI patients had inferior 3-year, 5-year, and 10-year survival vs low SVI patients (p < 0.05). After adjustment, average (hazard ratio [HR]: 1.12) and high (HR: 1.16) SVI were independently associated with an increased risk of mortality on multivariable analysis (both p < 0.001).

Conclusion

High or average SVI is independently associated with increased mortality following heart transplantation in patients with 1-year conditional survival. These findings demonstrate that disparities persist among heart transplant recipients during long-term follow-up.

Addressing Social Needs in Clinical Settings: Implementation and Impact on Health Care Utilization, Costs, and Integration of Care

In recent years, health care policy makers have focused increasingly on addressing social drivers of health as a strategy for improving health and health equity. Impacts of social, economic, and environmental conditions on health are well established. However, less is known about the implementation and impact of approaches used by health care providers and payers to address social drivers of health in clinical settings. This article reviews current efforts by US health care organizations and public payers such as Medicaid and Medicare to address social drivers of health at the individual and community levels. We summarize the limited available evidence regarding intervention impacts on health care utilization, costs, and integration of care and identify key lessons learned from current implementation efforts.

Association of social determinants of health-related diagnosis codes with postoperative outcomes

BACKGROUND

The association of an individual's social determinants of health-related problems with surgical outcomes has not been well-characterized. The objective of this study was to determine whether documentation of social determinants of a health-related diagnosis code (Z code) is associated with postoperative outcomes.

METHODS

This retrospective cohort study included surgical cases from a single institution's national surgical quality improvement program (NSQIP) clinical registry from October 2015 to December 2021. The primary predictor of interest was documentation of a Z code for social determinants of health-related problems. The primary outcome was 30-day postoperative morbidity. Secondary outcomes included postoperative length of stay, disposition, and 30-day postoperative mortality, reoperation, and readmission. Multivariable regression models were fit to evaluate the association between the documentation of a Z code and outcomes.

RESULTS

Of 10,739 surgical cases, 348 patients (3.2%) had a documented social determinants of health-related Z code. In multivariable analysis, documentation of a Z code was associated with increased odds of morbidity (20.7% vs. 9.9%; adjusted odds ratio [aOR], 1.88; 95% confidence interval [CI], 1.39-2.53), length of stay (median, 3 vs. 1 day; incidence rate ratio, 1.49; 95% CI, 1.33-1.67), odds of disposition to a location other than home (11.3% vs. 3.9%; aOR, 2.86; 95% CI, 1.89-4.33), and odds of readmission (15.3% vs. 6.1%; aOR, 1.99; 95% CI, 1.45-2.73).

CONCLUSIONS

Social determinants of health-related problems evaluated using Z codes were associated with worse postoperative outcomes. Improved documentation of social determinants of health-related problems among surgical patients may facilitate improved risk stratification, perioperative planning, and clinical outcomes.

Social Determinants of Health and Cancer Care: An ASCO Policy Statement

ASCO's new policy statement on SDOH supports practices that sustain and advance cancer health equity.

Social determinants of health correlations and resource usefulness at a Milwaukee free clinic for uninsured individuals: A cross-sectional study

Introduction

Addressing social determinants of health (SDOH) is fundamental to improving health outcomes. At a student-run free clinic, we developed a screening process to understand the SDOH needs and resource utilization of Milwaukee's uninsured population.

Methods

In this cross-sectional study, we screened adult patients without health insurance (N = 238) for nine traditional SDOH needs as well as their access to dental and mental health care between October 2021 and October 2022. Patients were surveyed at intervals greater than or equal to 30 days. We assessed correlations between SDOH needs and trends in patient-reported resource usefulness.

Results

Access to dental care (64.7%) and health insurance (51.3%) were the most frequently endorsed needs. We found significant correlations (P ≤ 0.05) between various SDOH needs. Notably, mental health access needs significantly correlated with dental (r = 0.41; 95% CI = 0.19, 0.63), medications (r = 0.51; 95% CI = 0.30, 0.72), utilities (r = 0.39; 95% CI = 0.17, 0.61), and food insecurity (r = 0.42; 95% CI = 0.19, 0.64). Food-housing (r = 0.55; 95% CI = 0.32, 0.78), housing-medications (r = 0.58; 95% CI = 0.35, 0.81), and medications-food (r = 0.53; 95% CI = 0.32, 0.74) were significantly correlated with each other. Longitudinal assessment of patient-reported usefulness informed changes in the resources offered.

Conclusions

Understanding prominent SDOH needs can inform resource offerings and interventions, addressing root causes that burden under-resourced patients. In this study, patient-reported data about resource usefulness prompted the curation of new resources and volunteer roles. This proof-of-concept study shows how longitudinally tracking SDOH needs at low-resource clinics can inform psychosocial resources.

Social care data and its fitness for integrated health and social care service governance: an exploratory qualitative analysis in the Dutch context

INTRODUCTION

To date, little is known on how social care data could be used to inform performance-based governance to accelerate progress towards integrated health and social care.

OBJECTIVES AND DESIGN

This study aims to perform a descriptive evaluation of available social care data in the Netherlands and its fitness for integrated health and social care service governance. An exploratory mixed-method qualitative study was undertaken based on desktop research (41 included indicators), semi-structured expert interviews (13 interviews including 18 experts) and a reflection session (10 experts).

SETTING

The Netherlands; social care is care provided in accordance with the Social Support Act, the Participation Law and the Law for Municipal debt-counselling.

RESULTS

This study found six current uses for social care data: (a) communication and accountability, (b) monitoring social care policy, (c) early warning systems, (d) controls and fraud detection, (e) outreaching efforts and (f) prioritisation. Further optimisation should be sought through: standardisation, management of data exchange across domains, awareness of the link between registration and financing, strengthening the overall trust in data sharing. The study found five ways the enhanced social care data could be used to improve the governance of integrated health and social care services: (a) cross-domain learning and cooperation (eg, through benchmarks), (b) preventative measures and early warning systems, (c) give insight regarding the quality and effectivity of social care in a broader perspective, (d) clearer accountability of social care towards contracting parties and policy, (e) enable cross-sector data-driven governance model.

CONCLUSION

Although there are several innovative initiatives for the optimisation of the use of social care data in the Netherlands, the current social care data landscape and management is not yet fit to support the new policy initiatives to strengthen integrated health and social care service governance. Directions for addressing the shortcomings are provided.

The Utility of the Area Deprivation Index in Assessing Complications After Total Joint Arthroplasty

Background

Vulnerable populations, including patients from a lower socioeconomic status, are at an increased risk for infection, revision surgery, mortality, and complications after total joint arthroplasty (TJA). An effective metric to quantify and compare these populations has not yet been established in the literature. The Area Deprivation Index (ADI) provides a composite area-based indicator of socioeconomic disadvantage consisting of 17 U.S. Census indicators, based on education, employment, housing quality, and poverty. We assessed patient risk factor profiles and performed multivariable regressions of total complications at 30 days, 90 days, and 1 year.

Methods

A prospectively collected database of 3,024 patients who underwent primary elective total knee arthroplasty or total hip arthroplasty performed by 3 fellowship-trained orthopaedic surgeons from January 1, 2015, through December 31, 2021, at a tertiary health-care center was analyzed. Patients were divided into quintiles (ADI ≤20 [n = 555], ADI 21 to 40 [n = 1,001], ADI 41 to 60 [n = 694], ADI 61 to 80 [n = 396], and ADI 81 to 100 [n = 378]) and into groups based on the national median ADI, ≤47 (n = 1,896) and >47 (n = 1,128).

Results

Higher quintiles had significantly more females (p = 0.002) and higher incidences of diabetes (p < 0.001), congestive heart failure (p < 0.001), chronic obstructive pulmonary disease (p < 0.001), hypertension (p < 0.001), substance abuse (p < 0.001), and tobacco use (p < 0.001). When accounting for several confounding variables, all ADI quintiles were not associated with increased total complications at 30 days, but age (p = 0.023), female sex (p = 0.019), congestive heart failure (p = 0.032), chronic obstructive pulmonary disease (p = 0.001), hypertension (p = 0.003), and chronic kidney disease (p = 0.010) were associated. At 90 days, ADI > 47 (p = 0.040), female sex (p = 0.035), and congestive heart failure (p = 0.001) were associated with increased total complications.

Conclusions

Balancing intrinsic factors, such as patient demographic characteristics, and extrinsic factors, such as social determinants of health, may minimize postoperative complications following TJA. The ADI is one tool that can account for several extrinsic factors, and can thus serve as a starting point to improving patient education and management in the setting of TJA.

Level of Evidence

Prognostic Level III. See Instructions for Authors for a complete description of levels of evidence.

A Data-Driven Approach to Optimizing Medical-Legal Partnership Performance and Joint Advocacy

Medical-legal partnerships connect legal advocates to healthcare providers and settings. Maintaining effectiveness of medical-legal partnerships and consistently identifying opportunities for innovation and adaptation takes intentionality and effort. In this paper, we discuss ways in which our use of data and quality improvement methods have facilitated advocacy at both patient (client) and population levels as we collectively pursue better, more equitable outcomes.

Do healthcare providers consider the social determinants of health? Results from a nationwide cross-sectional study in the United States

BACKGROUND

While the social determinants of health (SDOH) have a greater impact on individual health outcomes than the healthcare services a person receives, healthcare providers face barriers to addressing these factors in clinical settings. Previous studies have shown that providers often lack the necessary knowledge and resources to adequately screen for and otherwise assist patients with unmet social needs. This study explores the perceptions and behaviors related to SDOH among healthcare providers in the United States (US).

METHODS

This cross-sectional study analyzed data from a 22-item online survey using Reaction Data's research platform of healthcare professionals in the US. Survey items included demographic questions as well as Likert scale questions about healthcare providers' perceptions and behaviors related to SDOH. Descriptive statistics were calculated, and further analyses were conducted using t-tests and analysis of variance.

RESULTS

A total of 563 respondents completed the survey, with the majority being male (72.6%), White (81%), and located in urban areas (82.2%). In terms of perceptions, most providers agreed or strongly agreed that SDOH affect the health outcomes of all patients (68.5%), while only 24.1% agreed or strongly agreed that their healthcare setting was set up to address SDOH. In terms of behavior, fewer than half currently screened for SDOH (48.6%) or addressed (42.7%) SDOH in other ways. Most providers (55.7%) wanted additional resources to focus on SDOH. Statistical analyses showed significant differences by gender, with females being more likely than males to prioritize SDOH, and by specialty, with psychiatrists, pediatricians, and family/general medicine practitioners being more likely to prioritize SDOH.

CONCLUSION

Most healthcare providers understand the connection between unmet social needs and their patients' health, but they also feel limited in their ability to address these issues. Ongoing efforts to improve medical education and shift the healthcare system to allow for payment and delivery of more holistic care that considers SDOH will likely provide new opportunities for healthcare providers. In addition to what they can do at the institutional and patient levels, providers have the potential to advocate for policy and system changes at the societal level that can better address the root causes of social issues.

Low-Income Households of Children With Autism and the Economic Safety Net

OBJECTIVE

This paper examines the distribution, parameters, and determinants of safety net program use among a nationally representative sample of low-income children with autism spectrum disorder (ASD).

METHODS

We used data from the 2021 National Survey of Children's Health to produce population estimates of material hardship and safety net program use among 554 low-income households of children with ASD, ages 3 to 17 years, relative to 2831 children with other special health care needs (SHCN) and 8758 children with no SHCN of the same age. Design-adjusted multivariate logistic regression models identified predictors of cash assistance, Supplemental Nutrition Assistance Program, and disconnection from both.

RESULTS

There were few significant differences in material hardship between children with ASD and those with other SHCN, although children with ASD experienced significantly higher levels of hardships compared to children with no SHCN. Having a child with ASD did not significantly increase the odds of safety net use. Health insurance and household income were stronger predictors of use than disability. Nine percent of disconnected children lived in households under 100% federal poverty level and experienced some type of material hardship.

CONCLUSIONS

Future research about the economic security of children with ASD and their families could focus on the following 3 areas of inquiry: assess how race, ethnicity, or socioeconomic position interact with disability to influence safety net program use; examine the intersection between Medicaid and safety net programs at the state and national levels; and identify specific subgroups of children at risk for disconnection and understand why they are not accessing benefits.

Social Risk Groups in Patients With Diabetes With Differing Eye Care Utilization and Vision Outcomes

Purpose

To evaluate whether latent class analysis on social determinants of health (SDoH) data can identify social risk groups that differ by adverse SDoH and vision outcomes in patients with diabetes.

Methods

This was a prospective cohort study of adults ≥18 years with diabetes who completed a SDoH survey. Latent class analysis was used to cluster patients into social risk groups. The association of social risk group and severity of diabetic retinopathy, history of lapses in diabetic retinopathy care, and visual acuity was evaluated.

Results

A total of 1006 participants were included. The three social risk groups differed by sociodemographic characteristics. The average age was 65, 60, and 54 in Groups 1, 2, and 3 respectively. Most (51%) patients in group 1 were non-Hispanic White, 66% in group 2 were non-Hispanic Black, and 80% in group 3 were Hispanic. Group 1 had the lowest burden of adverse SDoH per person (average 3.6), group 2 had 8.2, and group 3 had 10.5. In general, group 1 lacked diabetic retinopathy knowledge, group 2 had financial insecurity and difficulties with transportation, and group 3 had financial insecurity and did not have health insurance. Social risk group was associated with a history of lapses in diabetic retinopathy care, and presenting with worse vision.

Conclusions and Translational Relevance

We identified distinct social risk groups among patients seeking care for diabetic retinopathy that differed by social needs, eye care utilization, and vision. Identifying these groups and their specific needs can help guide interventions to effectively address adverse SDoH and improve eye care utilization and vision outcomes among patients with diabetes.

Association of social vulnerability with receipt of hernia repair in Texas

BACKGROUND

The effect of social health determinants on hernia surgery receipt is unclear. We aimed to assess the association of the social vulnerability index with the likelihood of undergoing elective and emergency hernia repair in Texas.

METHODS

This is a retrospective cohort analysis of the Texas Hospital Inpatient Discharge Public Use Data File and Texas Outpatient Surgical and Radiological Procedure Public Use Data File from 2016 to 2019. Patients ≥18 years old with inguinal or umbilical hernia were included. Social vulnerability index and urban/rural status were merged with the database at the county level. Patients were stratified based on social vulnerability index quartiles, with the lowest quartile (Q1) designated as low vulnerability, Q2 and Q3 as average, and Q4 as high vulnerability. Wilcoxon rank sum, t test, and χ2 analysis were used, as appropriate. The relative risk of undergoing surgery was calculated with subgroup sensitivity analysis.

RESULTS

Of 234,843 patients assessed, 148,139 (63.1%) underwent surgery. Compared to patients with an average social vulnerability index, the low social vulnerability index group was 36% more likely to receive surgery (relative risk: 1.36, 95% CI 1.34-1.37), whereas the high social vulnerability index group was 14% less likely to receive surgery (relative risk: 0.86, 95% CI 0.85-0.86). This remained significant after stratifying for age, sex, insurance status, ethnicity, and urban/rural status (P < .05). For emergency admissions, there was no difference in receipt of surgery by social vulnerability index.

CONCLUSION

Vulnerable patients are less likely to undergo elective surgical hernia repair, even after adjusting for demographics, insurance, and urbanicity. The social vulnerability index may be a useful indicator of social determinants of health barriers to hernia repair.

Neighborhood Deprivation and Privilege: an Examination of Racialized-Economic Segregation and Preterm Birth, Florida 2019

The Black-White disparity in preterm birth persists and is not fully explained by individual-level social, behavioral, or clinical risk factors. Consequently, there is increasing emphasis on understanding the role of structural and area-level factors. Racialized-economic segregation measured as the index of concentration at the extremes (ICE) simultaneously captures extremes of deprivation and privilege. Our objective was to examine associations between preterm birth (PTB) and the index of concentration at the extremes (ICE). In this cross-sectional study, we analyzed 193,957 Florida birth records from 2019 linked to 2015-2019 census tract data from the American Community Survey. We assessed PTB (< 37 weeks gestation) by subtypes: (1) early (< 34 weeks) and late (34-36 weeks) and (2) spontaneous and indicated (i.e., provider-initiated) deliveries. We calculated adjusted odds ratios (aOR) and 95% confidence intervals (CI) for three ICE measures: (1) ICE_INC: income, (2) INC_INC + WB: income + race/ethnicity (non-Hispanic White vs. Black), and (3) INC_INC + WH: income + race/ethnicity (non-Hispanic White vs. Hispanic). Results. For ICE_INC and INC_INC + WB, aORs for residing in the worst-off vs. best-off areas were 1.25 (95% CI: 1.12, 1.46) and 1.21 (95% CI: 1.07, 1.37) for early PTB, respectively, and 1.16 (95% CI: 1.05, 1.28) to 1.22 (95% CI: 1.12, 1.34) for indicated PTB. In conclusion, deprivation captured by ICE was associated with increased odds of early or indicated PTB. Eliminating PTB disparities may require a multifaceted approach that includes addressing the interplay between income and race/ethnicity in residential areas.

Surgeon Understanding and Perceptions of Social Determinants of Health

INTRODUCTION

Social determinants of health impact surgical outcomes. Characterization of surgeon understanding of social determinants of health is necessary prior to implementation of interventions to address patient needs. The study objective was to explore understanding, perceived importance, and practices regarding social determinants of health among surgeons.

METHODS

Surgical residents and attending surgeons at a single academic medical center completed surveys regarding social determinants of health. We conducted semi-structured interviews to further explore understanding and perceived importance. A conceptual framework from the World Health Organization (WHO) Commission on Social Determinants of Health informed the thematic analysis.

RESULTS

Survey response rate was 47.9% (n = 69, 44 residents [63.8%], 25 attendings [36.2%]). Respondents primarily reported good (n = 29, 42.0%) understanding of social determinants of health and perceived this understanding to be very important (n = 42, 60.9%). Documentation occurred seldom (n = 35, 50.7%), and referrals occurred seldom (n = 26, 37.7%) or never (n = 20, 29.0%). Residents reported a higher rate of prior training than attendings (95.5% versus 56.0%, P < 0.001). Ten interviews were conducted (six residents, four attendings). Residents demonstrated greater understanding of socioeconomic positions and hierarchies shaped by structural mechanisms than attendings. Both residents and attendings demonstrated understanding of intermediary determinants of health status and linked social determinants to impacting patients' health and well-being. Specific knowledge gaps were identified regarding underlying structural mechanisms including the social, economic, and political context that influence an individual's socioeconomic position.

CONCLUSIONS

Self-reported understanding and importance of social determinants of health among surgeons were high. Interviews revealed gaps in understanding that may contribute to limited practices.

Modification of Firearm Law-Firearm Injury Association by Economic Disadvantage

INTRODUCTION

Firearm-related injuries in the U.S. have risen 37% since 2015. Understanding how the association between firearm incidents and state-level firearm restrictiveness is modified by community-level distress and economic connectedness (EC) may inform upstream injury prevention efforts.

METHODS

A national cross-sectional study of firearm incidents (interpersonal and unintentional firearm events) occurring between 1/2015 and 12/2021 was performed using the Gun Violence Archive. The exposures were community distress (Distressed Communities Index, DCI), EC, and year-state-level firearm restrictiveness. The primary outcome was mean annual urban firearm incidence rate per ZIP Code Tabulation Area. Generalized linear mixed models were fit to evaluate the modification of the firearm law-firearm incident association by DCI and EC. Data analyses took place in 2022.

RESULTS

About 266,020 firearm incidents were included. The mean rate was higher with each DCI tertile, with a RR of 3.18 (95% CI: 3.06, 3.30) in high versus low distress communities. Low EC was associated with over 1.8 times greater rate of firearm-related injury. The least restrictive firearm laws were associated with 1.20 times higher risk of firearm incidents (95% CI: 1.12, 1.28). The association between restrictive laws and lower incidence rates was strongest in low and medium distress and high EC communities.

CONCLUSIONS

Stricter firearm laws are associated with lower rate of firearm incidents. The magnitude of this association is smallest for communities experiencing the greatest economic disadvantage.

Social Vulnerability Association with Thyroid Cancer Disparities in the United States

Background: As thyroid cancer incidence rises, it is increasingly valuable to recognize disparities in treatment and diagnosis. Prior investigations into social determinants of health (SDoH) are limited to pediatric populations or studies looking at single factors such as race or environmental influences. Utilizing the CDC-social vulnerability index and SEER-patient database to assess the amalgamated, real-world influence of varied SDoH and their quantifiable impact on thyroid cancer disparities across the United States. Methods: In a retrospective cohort study, 199,340 adult thyroid cancer patients from 1975 to 2017 were assessed for significant regression trends in months of follow-up/surveillance, survival, late staging, and treatment receipt across thyroid cancer-subtypes with increasing overall social vulnerability, as well as in 15 SDoH variables regarding socioeconomic status, minority-language status, household composition, and housing-transportation across all the U.S. counties while accounting for sociodemographic regional differences. Results: With increasing overall social vulnerability, decreases in months of follow-up were observed with patients with papillary, follicular, medullary, oncocytic, and anaplastic thyroid cancer (p = 0.001). Comparing lowest with highest vulnerability cohorts, relative decreases in months of surveillance ranged from 55.6% (14.5-6.5 months) with anaplastic to 17% (108.6-90.2) with oncocytic. Socioeconomic status vulnerabilities, followed by vulnerabilities in household composition and housing-transportation type, contributed to these overall trends. Similar survival decreases occurred across all thyroid cancer patients, ranging from 55.9% (9.6-4.2) with anaplastic to 28.3% (97-69.5) with oncocytic. Minority-language status vulnerabilities and housing-transportation types largely contributed to these trends. Increasing overall vulnerability was associated with increased odds of advanced staging for papillary (odds ratio [OR] = 1.07 [confidence interval, CI 1.03-1.12]) and decreased odds of indicated treatment via surgery (lowest, medullary: 0.91 [CI 0.84-0.99]), radiation therapy (lowest, anaplastic: 0.88 [CI 0.82-0.93]), and chemotherapy (lowest, oncocytic: 0.81 [CI 0.67-0.98]) were observed. Vulnerabilities in minority-language status and housing-transportation, followed by socioeconomic status vulnerabilities, were differential contributors to these overall vulnerability trends. Conclusions: Our results show significant detriments in thyroid cancer care and prognosis in the United States with increasing overall social vulnerability while identifying which SDoH quantifiably contribute more to disparities in inter-relational, real-world-like contexts.

Social Determinants of Health and Associations With Outcomes in Pediatric Patients With Brain Tumors

BACKGROUND AND OBJECTIVES

Social determinants of health (SDOH) are nonmedical factors that affect health outcomes. Limited investigation has been completed on the potential association of these factors to adverse outcomes in pediatric populations. In this study, the authors aimed to analyze the effects of SDOH disparities and their relationship with outcomes after brain tumor resection or biopsy in children.

METHODS

The authors retrospectively reviewed the records of their center's pediatric patients with brain tumor. Black race, public insurance, median household income, and distance to hospital were the investigated SDOH factors. Univariate analysis was completed between number of SDOH factors and patient demographics. Multivariate linear regression models were created to identify coassociated determinants and outcomes.

RESULTS

A total of 272 patients were identified and included in the final analysis. Among these patients, 81 (29.8%) had no SDOH disparities, 103 (37.9%) had 1, 71 (26.1%) had 2, and 17 (6.2%) had 3. An increased number of SDOH disparities was associated with increased percentage of missed appointments ( P = .002) and emergency room visits ( P = .004). Univariate analysis demonstrated increased missed appointments ( P = .01), number of postoperative imaging ( P = .005), and number of emergency room visits ( P = .003). In multivariate analysis, decreased median household income was independently associated with increased length of hospital stay ( P = .02).

CONCLUSION

The SDOH disparities are prevalent and impactful in this vulnerable population. This study demonstrates the need for a shift in research focus toward identifying the full extent of the impact of these factors on postoperative outcomes in pediatric patients with brain tumor.

New Zealand Pae Ora Healthcare Reforms 2022: Viable by Design? A Qualitative Study Using the Viable System Model

BACKGROUND

The New Zealand (NZ) Pae Ora (Healthy Futures) health reforms came into effect in July 2022 with the establishment of Health New Zealand (HNZ) (Te Whatu Ora) and the Māori Health Authority (MHA) (Te Aka Whai Ora) - the organisations charged for healthcare provision and delivery. Given these changes represent major health system reform, we aimed to conduct an early evaluation of the design of the reforms to determine if they can deliver a viable and sustainable NZ health system going forward.

METHODS

The evaluation was informed by Beer's viable system model (VSM). A qualitative exploratory design with semi-structured interviews and documents analysis using thematic analysis was used. We conducted 28 interviews with senior healthcare managers and reviewed over 300 official documents and news analyses.

RESULTS

The VSM posits that for a system to be viable, all its five sub-systems (operations; co-ordination; operational control; development and governance) need to be strong. Our analysis suggests that the health reforms, despite their strengths, do not satisfy this requirement. The reforms do appreciate the complexity of the healthcare environment: multiple stakeholders, social inequalities, interdependencies. However, our analysis suggests a severe lack of detail regarding the implementation and operationalisation of the reforms. Furthermore, resourcing and coordination within the reformed system is also unclear.

CONCLUSION

The health system reforms may not lead to a viable future NZ health system. Poor communication of the reform implementation and operationalisation will likely result in system failure and inhibit the ability of frontline health organisations to deliver care.