Social Determinants Of Health Research Articles

Gender, race, and economic factors influencing screening practices in hidradenitis suppurativa: a cross-sectional analysis.

Hidradenitis suppurativa (HS) is a chronic inflammatory skin condition that significantly impacts patients' quality of life. Despite its substantial burden, HS remains underdiagnosed and undertreated, particularly among marginalized populations. This study aimed to elucidate the primary social determinants of health (SDOH) and structural determinants of health (StDOH) influencing rates and patterns of screening for patients diagnosed with HS. Using data from the All of Us Research Program database, participants with HS were identified using ICD-10 codes and stratified based on various sociodemographic factors, including race, gender, and income. The primary outcome variables were participation in viral screening and disease screening among HS patients. Statistical analyses were performed to assess the relationship between sociodemographic factors and screening practices. Income and gender had significant impacts on screening practices. Higher-income patients were more likely to receive necessary disease screening and less likely to receive unnecessary disease screening compared to lower-income patients. Non-male patients had significantly higher rates of unnecessary disease and viral screening than male patients. While differences in screening practices within each income level were significant, there were no significant differences across different income brackets or racial groups. These findings suggest that subjectivity associated with individual physicians' recommendations may contribute to disparities in screening outcomes, especially in lower-income and non-male HS patients. The study highlights the need for more clearly delineated screening guidelines and continued research on the role of SDOH in improving patient health outcomes.

Integrating mental health and psychosocial support into economic inclusion programming for displaced families in Ecuador

BackgroundPoverty is a key social determinant of mental health among forcibly displaced persons. This study aimed to design and pilot test a strategy to integrate existing mental health and economic inclusion interventions for displaced families in Ecuador.MethodsWe conducted a series of qualitative interviews (n = 30), focus groups (n = 6), and workshops (n = 3) to develop a set of strategies for integrating cross-cutting and focused mental health and psychosocial support (MHPSS) strategies into an existing economic inclusion program for displaced families in Quito. We non-randomly assigned two field offices in Quito to (1) integrate cross-cutting strategies focused on improving economic outcomes or (2) integrate both those cross-cutting strategies plus focused MHPSS strategies into an economic inclusion program. We measured site-level implementation outcomes (adoption, appropriateness, acceptability, feasibility, fidelity, reach, retention, usability) and participant-level psychosocial (wellbeing, depressive symptoms, anxiety symptoms, functioning) and economic inclusion outcomes (financial resources, diet diversity, social capital/networks, self-reliance) over six months. We conducted a mixed-methods analysis to explore the acceptability and feasibility of the integration strategies and the ability to evaluate their effects in a future cluster randomized trial.ResultsWe developed a toolkit that included 10 strategies for integrating MHPSS into economic inclusion interventions. Fifty displaced persons participating in an existing economic inclusion program (25 per study condition) were enrolled and 88% remained in the study through the six-month follow-up. Participants and implementers reported that the integration strategy was appropriate, acceptable, feasible, and usable. Implementers, including people without prior experience in delivering mental health services, were able to deliver the intervention with high fidelity. Integration of focused MHPSS intervention components into an economic inclusion program appeared to improve MHPSS outcomes, the strength of social capital and networks, and engagement in economic and other programs.ConclusionsThis study provides preliminary evidence of the acceptability and feasibility of integrating MHPSS into economic inclusion programs for displaced people. We found evidence supporting evaluation methods that can be employed in a future study to definitively test the added value of integrated approaches to mental health and economic wellbeing for displaced persons.

Gender-based provisions in mental health legislation: a review of English language jurisdictions.

Legislation is a powerful tool for facilitating mental healthcare. Gender is an important social determinant of physical and mental health. Many jurisdictions are in the process of revising their mental health law, to align with human rights commitments. Consideration of gender in these revisions could enhance the mental healthcare received by women, transgender and non-binary individuals. This paper examines gender-based provisions in mental health law published in English. Countries that use English as an official language were identified. Jurisdictions in these countries with stand-alone mental health laws were included. Legislation was reviewed for gender-specific provisions. Seventy-five countries were evaluated; 71 jurisdictions were included. Thirty-eight jurisdictions had 88 gender-specific provisions. These addressed ten key areas, including: general gender-based protections, female representation on boards and review panels, protections during searching and restraint, gender separated facilities, protections in relation to parenting, fertility, sterilisation and termination. Fiji, Ghana, India, and the Australian jurisdictions had the highest number of gender-specific laws. However, gender-specific provisions are highly heterogeneous and are drafted from a cisnormative perspective and fail to adequately address the specific needs of individuals outside of that framework. Gender-specific provisions can enhance the protections afforded by mental health law. However, as legislation can be a blunt instrument, careful consideration must be given to potential unintended consequences. During revisions of mental health law consideration should be given to gender-specific provisions and legislation must be inclusive of individuals identifying as transgender, non-binary and other genders.

Community beliefs and practices about diabetes and their implications for the prevention and management of diabetes in Southeast Ghana

BackgroundDiabetes is a major public health issue, and over half a billion people are estimated to be living with diabetes, with 6.7 million deaths reported in 2021. The global diabetes burden has been recognised and included in the United Nations Sustainable Development Goals to achieve a zero increase in diabetes cases and reduce one-third of premature diabetes deaths by 2030. However, local beliefs about the causes of diabetes have affected its prevention and management. This study examined community beliefs and practices about diabetes and how they affect the prevention and management of diabetes in the community.MethodsThis study was carried out in the Ho Municipality of the Volta Region of Ghana. We conducted 33 in-depth interviews with 18 patients with diabetes, 5 carers (caretakers of patients with diabetes), 3 traditional healers, 2 religious leaders, 3 community elders, and 2 assembly members who were purposefully selected from urban and rural areas across the municipality. The interviews were recorded digitally and transcribed verbatim. Thematic analysis was applied to analyse the data using QRS NVivo 20.ResultsDiabetes was described locally as sukli dɔ (sugar disease), which affects humans. Diabetes is believed to be caused by spiritual forces (juju, bewitchment, and punishment from gods) and physical factors (unhealthy diet, physical inactivity, eating fruits and vegetables sprayed with pesticides and insecticides, sugary and starchy foods, smoking, and abuse of alcohol). In terms of the management of diabetes, participants said traditional remedies are performed for spiritual interpretation, deliverance, fortification, and cleansing before biomedical and physical remedies are sought. Diabetes was likened to HIV/AIDS, and the sufferers were described as bringing the condition upon themselves as a result of their bad deeds. They were stigmatised, coupled with delays at the hospital, and poverty has also affected the prevention and management of diabetes.ConclusionThe local belief that diabetes is caused by spiritual forces, likened to HIV/AIDS, delays at hospitals, and poverty, has affected the prevention and management of diabetes. Incorporating local beliefs and practices into the intervention design using culturally sensitive health education programmes and improving social determinants of health may help improve the prevention and management of diabetes in communities.

Integrating the Polysocial Risk Score: Enhancing Comprehensive Healthcare Delivery.

Social determinants of health (SDOH) are known to determine a significant portion of a person's health, influencing downstream outcomes and widespread disparities. Screening for SDOH in clinical practice can improve efficacy of medical care, highlighting the potential for polysocial risk scores (PsRS) to help evaluate a patient's risk of developing atherosclerotic cardiovascular disease and other conditions. This review highlights existing research about the efficacy of PsRS in practical risk assessment, current gaps in the literature, and opportunities to refine the design and implementation of PsRS in real-world clinical settings. PsRS present unique opportunities to improve traditional risk prediction models for heart disease and other conditions, particularly if they examine both individual and area-level SDOH. Future studies should assess novel methods for extracting SDOH data from patients' medical records as well as PsRS implementation strategies that promote efficiency and patient confidentiality in real-world clinical settings.

Rethinking the Roles of the Social Determinants of Health in Bystander Intervention for Partner Violence Among College Students

Willingness to intervene as an effective bystander is critical in preventing partner violence and fostering safety among college students. Informed by the Social Determinants of Health framework, this conceptual paper provides an overview of the background and historical evolution of bystander intervention and invites a rethinking of how various factors impact bystander intervention for partner violence among college students by highlighting the roles of (1) economic factors and education, (2) sexual beliefs, myths, and media, (3) gender values and norms, (4) environmental factors, (5) college students at risk, (6) social support network and access to services, (7) acculturation and familiarity with the U.S. culture, and (8) cost-benefit analyses. We also discuss potential practice, research, and policy implications. Understanding the Social Determinants of Health is instrumental in addressing the root cause of intersecting health disparities, which is vital in preventing violence, encouraging bystander intervention, and creating a safer community.

Predicting patient reported outcome measures: a scoping review for the artificial intelligence-guided patient preference predictor

BackgroundThe algorithmic patient preference predictor (PPP) has been proposed to aid in decision making for incapacitated patients in the absence of advanced directives. Ethical and legal challenges aside, multiple practical barriers exist for building a personalized PPP. Here, we examine previous work using machine learning to predict patient reported outcome measures (PROMs) for capacitated patients undergoing diverse procedures, therapies, and life events. Demonstrating robust performance in predicting PROMs for capacitated patients could suggest opportunities for developing a model tailored to incapacitated ones.MethodsWe performed a scoping review of PubMed, Embase, and Scopus using the PRISMA-ScR guidelines to capture studies using machine learning to predict PROMs following a medical event alongside qualitative studies exploring a theoretical PPP.ResultsSixty-eight studies used machine learning to evaluate PROMs; an additional 20 studies focused on a theoretical PPP. For PROMs, orthopedic surgeries (n = 33) and spinal surgeries (n = 12) were the most common medical event. Studies used demographic (n = 30), pre-event PROMs (n = 52), comorbidities (n = 29), social determinants of health (n = 30), and intraoperative variables (n = 124) as predictors. Thirty-four different PROMs were used as the target outcome. Evaluation metrics varied by task, but performance was overall poor to moderate for the best reported scores. In models that used feature importance, pre-event PROMs were the most predictive of post-event PROMs. Fairness assessments were rare (n = 6). These findings reinforce the necessity of the integrating patient values and preferences, beyond demographic factors, to improve the development of personalized PPP models for incapacitated patients.ConclusionThe primary objective of a PPP is to estimate patient-reported quality of life following an intervention. Use of machine learning to predict PROMs for capacitated patients introduces challenges and opportunities for building a personalized PPP for incapacitated patients without advanced directives.

A Costly Cure: Understanding and Addressing Financial Toxicity in Cardiovascular Disease Health Care Within the Domain of Social Determinants of Health.

Cardiovascular disease (CVD) represents a significant financial burden on patients and families, compounded by both direct and indirect healthcare costs. The increasing prevalence of CVD, coupled with the rising costs of treatment, exacerbates financial toxicity-defined as the economic strain and associated physical, emotional, and behavioral consequences on patients. This review explores the scope of financial toxicity in CVD care, detailing its prevalence, associated risk factors, and the complex interplay with social determinants of health such as income, insurance status, and comorbidities. Drawing from models in oncology, we highlight key interventions aimed at mitigating financial toxicity, including patient counseling, financial navigation, and enhanced patient-physician cost discussions. By adopting these approaches, healthcare providers can better support patients with CVD in managing both their health and financial well-being, potentially improving clinical outcomes. Future research is needed to develop standardized assessment tools for financial toxicity in CVD and implement system-wide mitigation strategies.

Spike and Slab Regression for Nonstationary Gaussian Linear Mixed Effects Modeling of Rapid Disease Progression

ABSTRACTSelect measures of social and environmental determinants of health (referred to as “geomarkers”), predict rapid lung function decline in cystic fibrosis (CF), defined as a prolonged decline relative to patient and/or center‐level norms. The extent to which hyper‐localization, defined as increasing the spatiotemporal precision of geomarkers, aids in prediction of rapid lung decline remains unclear. Linear mixed effects (LME) models with specialized covariance functions have been used for predicting rapid lung function decline, but there are few options to properly incorporate spatial correlation into the covariance functions while inducing simultaneous variable selection. Our innovative Bayesian model uses a spike and slab prior for simultaneous variable selection and offers additional advantages when coupled with nonstationary Gaussian LME modeling. This model also incorporates spatial correlation through an additional random effect term that accounts for spatial correlation based on ZIP code distances. We validated the model with simulations and applied it to real CF data from a Midwestern CF Center. We demonstrate how a combination of demographic, clinical, and geomarker variables can be selected as optimal predictors using Bayesian false discovery rate controlling rule. Our results indicate that incorporating spatiotemporal effects and geomarkers into this novel Bayesian stochastic LME model enhances the dynamic prediction of rapid CF disease progression.

Addressing Racial and Ethnic Inequities in Opioid Overdose Mortality: Strategies for Equitable Interventions and Structural Change.

This review synthetizes findings reflecting the increasing racial and ethnic inequities in opioid overdose mortality and emphasizes the necessity for tailored interventions as well as other policy-level and structural strategies to stem this trend. Factors contributing to inequities in overdose mortality include changes in drug supply, persistent social-structural vulnerabilities stemming from structural racism, and inequities in access to medication for opioid use disorder and harm reduction services. Key strategies to address these inequities include the cultural adaptation of evidence-based interventions within an equity-based framework, integrating social determinants of health into addiction treatment, centering anti-racism praxis in addiction research, diversifying the addiction workforce, and integrating structural competency as a tool to restructure education and inform practice. Structural racism must be recognized as a key driver of inequities in substance use outcomes, and this understanding must be integrated into existing models of substance use disorder prevention, treatment, and research.

Leveraging Social Determinants of Health to Enhance Recruitment of Underrepresented Populations in Clinical Trials.

Historically marginalized communities are disproportionately affected by cardiometabolic diseases yet are underrepresented in clinical trials that investigate needed interventions. This review investigates the barriers to equitable inclusion in clinical trials, identifying opportunities for improvement at the institutional, trial, community, and individual level. It proposes a social determinants-based approach that serves as a toolkit to target these barriers using structural, economic, community, healthcare access, and technology solutions, supporting constructive improvement in the clinical trial recruitment process.

Impact of Insurance Status on Postoperative Recovery After Microsurgical Breast Reconstruction.

Persistent disparities in breast reconstruction access have been widely documented, yet a significant research gap remains in understanding the impact of social determinants of health (SDOH) on postoperative outcomes and complications. A retrospective chart review was performed on all patients who underwent abdominal-based free-flap breast reconstruction between August 2018 and December 2022 at a racially, ethnically, and socioeconomically diverse urban academic institute with a historically underserved patient population. Patients were stratified by the public (Medicare and Medicaid) versus private insurance as a proxy for SDOH. Patient demographics, length of stay (LOS), timing in progression through postoperative recovery milestones, and complications were compared. A total of 162 patients were included, and 57% of patients had public insurance, with this group more likely to be Hispanic (OR2.7; p=0.003) and Spanish-speaking (OR3.4; p=0.003). Privately insured patients were more likely to be non-Hispanic black (OR2.7; p=0.006). Patients with public insurance had a higher rate of unplanned return to the operating room within 90 days and a higher incidence of complications, though not statistically significant. They also experienced a significantly longer LOS than privately insured patients (3.6±1.0 days vs 3.0±0.7 days; p<0.0001). Logistic regression identified a LOS exceeding 3 days as independently associated with public insurance status (OR3.0; p=0.03), bilateral procedure (OR5.6; p=0.0007), preoperative functional-dependent status (OR7.0; p=0.04), and higher BMI (OR1.1; p=0.03). Patients with public insurance were more likely to encounter delays in achieving recovery milestones. Public insurance status, serving as a proxy for a disadvantage in SDOH, is predictive of extended LOS and postoperative recovery delays following microsurgical breast reconstruction. This underscores the need for future quality improvement efforts to address and mitigate these disparities.

Racial and Socioeconomic Health Disparities in Peripheral Artery Disease.

Peripheral artery disease (PAD) is a progressive atherosclerotic disease that causes lower extremity arterial stenosis or occlusion. Patients with PAD are at increased risk of myocardial infarction, stroke, limitations in ambulation, and amputation. Despite the advances in medicine and technology, the outcomes from PAD, including critical limb-threatening ischemia, acute limb ischemia amputation, and mortality, remain increased among specific racial and ethnic groups that have been historically marginalized in America, including Black, Hispanic, and American Indian individuals in the United States when compared with White persons. The purpose of this review is to summarize PAD literature that incorporates racial and ethnic disparities in PAD. There are a rising number of studies focused on the interface of racial and ethnic disparities and PAD. The majority of these studies are specifically focused on Black race, whereas there are limited studies focused on other minoritized racial and ethnic groups in the United States. The application of race and ethnicity has also been shown to play a synergistic role with socioeconomic status on PAD outcomes. Effective strategies focused on implementing policies that support quality measures and focus on social determinants of health have been shown to promote health equity and reduce disparities. Current evidence suggests that biological differences are less likely to be the leading cause of disparities in PAD between racial and ethnic groups compared with White Americans and supports a renewed focus on social determinants of health to achieve health equity.

Innovative student project proposals to leverage community pharmacy to address the social determinants of health

Background: The objective of this paper is to describe the development and implementation of a student project to brainstorm strategies to address the social determinants of health (SDOH) through community pharmacy partnerships. Methods: This project reimagined the BUILD Health Challenge for second-year Pharm.D. students in a Community Pharmacy Elective course. Students worked in groups to complete a community needs assessment and then developed a customised proposal for a feasible collaboration addressing at least one upstream social risk factor. Results: A total of ten proposals were developed from 2021 to 2023. Novel collaborative partnerships included a local high school, regional opioid prevention services, rideshare partners, food trucks, and more. The most common social risk factor addressed through this project was transportation (n = 6; 60%). Conclusion: This project was effective at inspiring innovation and entrepreneurial thinking about the social determinants of health as it pertains to community pharmacy.

The role of the primary healthcare research community in addressing the social and structural determinants of health: a call to action from NAPCRG 2023.

The need for effective primary healthcare to address social and structural determinants of health and to mitigate health inequalities has been well established. Here, we report on the international forum of the 2023 NAPCRG (formerly known as North American Primary Care Research Group) Annual Meeting. The aim of the forum was to develop principles for action for the primary healthcare research community on addressing social and structural determinants of health. From this forum, 10 key recommendations for the primary care research community were identified.

STEMI in an Adolescent: A Critical Case of Kawasaki Disease.

Acute coronary syndrome (ACS) is a rare cause of chest pain in adolescents and young adults. Kawasaki disease (KD) is an uncommon illness, but coronary artery aneurysms secondary to KD are implicated in approximately 5% of cases of ACS in young adults. Patients with KD may present with catastrophic coronary disease at a young age and thus early recognition of this disease process and lifelong follow-up is essential. Here we discuss a 19-year-old active duty male with no previously recognized medical history who presented with crushing chest pain while deployed. He was diagnosed with an ST elevation myocardial infarction and was found to have a giant aneurysm of the left main coronary artery with obstructive thrombus treated with emergent thrombectomy and balloon angioplasty. He developed cardiogenic shock requiring mechanical circulatory and ventilatory support. After a prolonged recovery and more in-depth history-taking, he was discovered to have been diagnosed with KD as a child without follow-up. Diagnosing ACS in young adults can be challenging, but a history of KD should increase suspicion for coronary disease. This case demonstrates the importance of screening after a childhood diagnosis of KD, specifically when caring for the tactical athlete. It also highlights the impact that social determinants of health can have on patient outcomes. Finally, it demonstrates the importance of communication and coordination between military and civilian medical centers across the globe driving the care of our deployed injured and ill active-duty military personnel.

NHS action on social and economic development in England: Vague national policy expectations

Under recent reforms to the National Health Service (NHS) in England, NHS organizations have been given new objectives to contribute to social and economic development. Health systems in other high-income countries are pursuing related approaches. This paper analyses national policy documents to understand the framing of the NHS's new policy priorities on social and economic development. We focus on the role of NHS integrated care systems—area-based planning bodies responsible for managing NHS resources and coordinating local services. National policy is vague about what social and economic development means in practice. There is limited guidance on which approaches local organizations should prioritize, and which organisations are responsible for implementation. Greater clarity from national policymakers and an overarching framework to guide local action is needed to reduce the risk of inaction, poorly targeted interventions, and missed opportunities for learning and evaluation. Policymakers and health system leaders also need to be realistic about the limits of local action given the importance of national public policy choices in shaping the social determinants of health. Coordinated policy action and investment across government is needed to address underlying social and economic conditions.

Intersectionality of gender with social determinants of health and asymptomatic Alzheimer's disease neuropathology.

Women comprise approximately two-thirds of Alzheimer's disease cases. This is the first known study to investigate the role of intersectionality between gender and other social determinants of health (SDOH) in the presentation of cognitive symptoms (i.e., being asymptomatic or symptomatic) among those with pathologically confirmed Alzheimer's disease. We studied 3107 individuals with Alzheimer's disease neuropathology (ADNP) confirmed at autopsy. Asymptomatic ADNP was defined as the absence of a clinical diagnosis of mild cognitive impairment (MCI) or dementia before death (versus symptomatic: diagnosis of MCI/dementia). SDOH included gender, education, ethnoracial group, living alone, and primary language. Multivariable logistic regression tested associations between SDOH and asymptomatic ADNP (versus symptomatic); models were also stratified by gender. Women, Hispanics, those living alone, and more educated individuals were found to have higher odds of asymptomatic ADNP. Non-English speakers had lower odds of asymptomatic ADNP. Both women and men had higher odds of asymptomatic ADNP if Hispanic or living alone. In only women, non-English speakers had lower odds while in only men, more education was associated with higher odds of asymptomatic ADNP. Gender, education, ethnicity, primary language, and living alone, and intersectionality of gender with primary language, may differentially influence MCI and dementia diagnosis prior to death among those with underlying ADNP. These findings emphasize the need for future Alzheimer's disease research to prioritize social determinants of brain health including their intersectionality with gender and how to inform targeted interventions.

Potential benefits of incorporating social determinants of health screening on comprehensive medication management effectiveness.

Increasingly, pharmacists are asked to incorporate social determinants of health (SDoH) identification and referral into clinical practice. However, to date, no studies have evaluated clinical changes from embedding SDoH screening into the delivery of comprehensive medication management (CMM) in patients with chronic conditions. To examine the clinical effectiveness of implementing a clinical pharmacist-led SDoH screening and referral process as part of CMM encounters across a network of 7 Federally Qualified Health Centers (FQHCs). We used a retrospective cohort design to evaluate the effectiveness of integrating SDoH screening into CMM across a network of 7 FQHCs. A difference-in-difference approach was used to compare the effectiveness of CMM between patients with and without SDoH needs on the probability of achieving clinical control for blood pressure (<140 systolic/90 diastolic mm Hg) and diabetes (<9% hemoglobin A1c). Among 807 patients receiving CMM in 2023, 595 (74%) were screened for SDoH. 55.1% of patients screened had 1 or more SDoH, most commonly facing barriers related to insurance (22.0%), language (11.3%), transportation (9.1%), health behaviors (7.1%), income/employment (5.9%), and food insecurity (5.6%). Comparing patients with SDoH needs with those without, the proportion of patients controlled at baseline was 66.3% vs 72.3% for hypertension and 39.0% vs 75.4% for diabetes, respectively. Following a CMM encounter, the proportion of patients who achieved blood pressure control increased 7.6% more (P = 0.225) among patients with SDoH needs than in those without SDoH, whereas diabetes control rates increased 13.3% more (P = 0.143). Although not statistically significant, the results of this pilot evaluation suggest the potential for meaningful clinical improvements from screening and referral of SDoH needs as a part of CMM encounters. These results should be corroborated using a larger, more robust study design.

The Effect of an Educational Program on the Knowledge and Attitude of Medical Sciences Students About Social Determinants of Health in Iranian University Students: A Quasi-Experimental Study.

Given the importance of social determinants on health outcomes, training medical sciences students in addressing social determinants of health can enhance their effectiveness and social accountability. The aim of this study was to assess the effect of an educational program on the knowledge and attitude of medical sciences students regarding social determinants of health. Using a one-group pretest-posttest quasi-experimental design, this study selected 200 students from a medical university in Iran through simple random sampling. A tailored educational intervention, grounded in the conceptual framework for action on social determinants of health, was implemented. To assess the program's effect, data were collected using a validated questionnaire that measured the students' knowledge and attitudes towards social determinants of health both at baseline (pretest) and 1 month following the intervention (posttest). The application of the Wilcoxon Signed-Ranks Test revealed a significant increase in the median scores for knowledge and attitude postintervention. Specifically, the posttest median scores were significantly elevated compared to the pretest knowledge score (Z = -11.89, p < 0.001) and attitude score (Z = -11.60, p < 0.001). This indicates that the educational intervention significantly improved the students' knowledge and attitudes concerning social determinants of health. The study outcomes suggest that educational interventions focused on social determinants of health effectively improve students' knowledge and attitudes. We recommend integrating such programs into the medical sciences curriculum and experiential training. By doing so, we can better prepare future healthcare professionals to address social determinants of health-related issues. This approach has the potential to reduce health disparities and also addresses broader social challenges affecting population health.