Social Determinants Of Health Research Articles

Thirty-Day Complication Rates After Gender-Affirming Bottom Surgery: An Analysis of the NSQIP Database From 2010 to 2020.

Gender-affirming bottom surgeries (GABS) play a central role in treating gender dysphoria to improve quality of life for transgender and nonbinary (TGNB) patients. However, there exists limited data on operative risks and outcomes for patient populations undergoing GABS. The goal of this study is to identify sociodemographic and clinical risk factors for determining 30-day postoperative complications in patients undergoing GABS. The ACS-NSQIP database from 2010 to 2020 was used to identify patients undergoing gender affirmation surgery (GAS) using Current Procedural Terminology (CPT) codes included in transfeminine and transmasculine bottom surgery. IBS-SPSS software was used to perform a multivariate analysis to determine risk factors for increased 30-day postoperative complications including unplanned reoperation and readmission rates. A total of 1809 GABS were performed in the NSQIP database from 2010 to 2020. There was an upward trend in GABS procedures throughout the years, with 2017 having the most GABS (n = 629). Transmasculine patients with a BMI of 29 and over were at a greater risk for wound complications (P < 0.05). Diabetic transfeminine patients were also at a greater risk for wound complications (P < 0.05). This study identified that several sociodemographic and clinical risk factors, such as BMI and diabetes mellitus type 2, had increased postoperative complications for patients undergoing gender-affirming bottom surgeries. Wound care management and patient education are essential in GABS to prevent long-term complications. Physician awareness of risk factors and social determinants of health can help prevent and improve postoperative care education and patient compliance.

Exploring Correlates of Resource Insecurity Among Older Black or African Americans with HIV in Ohio.

Resource insecurity is a social determinant of health that can impact people with HIV (PWH), in particular older African Americans (AA) or blacks with HIV. The purpose of this study was to identify resource insecurities among older Blacks or AA PWH specifically related to food and housing. Secondary focus was to find associations between resource insecurity and substance use history, stigma, and various forms of discrimination. Eligible participants (N = 52) of this cross-sectional study were 50years old or older, identified as Black or AA, diagnosed with HIV, and living in Ohio. Food insecurity was assessed using the Household Food Insecurity Access Scale and housing insecurity was defined as not having stable housing. Resource insecurity was categorized into food and housing secure, food or housing insecure, and food and housing insecure. Almost half (48.1%) of participants reported housing insecurity, with approximately 58.0% experiencing food insecurity, and 38.5% facing both. Current substance use, particularly opiates, showed significant association with resource insecurity (OR = 5.54; 95% CI = 1.91-17.30). Moreover, experiences of everyday (OR = 1.19; 95% CI = 1.10-1.30) or major forms (OR = 1.75; 95% CI = 1.33-2.39) of discrimination, as well as HIV stigma (OR = 1.24; 95% CI = 1.01-1.55), were also linked to increased odds of resource insecurity among participants. Findings highlight how social factors contribute to resource insecurity among older AA PWH. Understanding the factors offers insight for targeted intervention in the fight against HIV transmission.

Phenome-Wide Association of APOE Alleles in the All of Us Research Program.

Genetic variation in APOE is associated with altered lipid metabolism, as well as cardiovascular and neurodegenerative disease risk. However, prior studies are largely limited to European ancestry populations and differential risk by sex and ancestry has not been widely evaluated. We utilized a phenome-wide association study (PheWAS) approach to explore APOE-associated phenotypes in the All of Us Research Program. We determined APOE alleles for 181,880 All of Us participants with whole genome sequencing and electronic health record (EHR) data, representing seven gnomAD ancestry groups. We tested association of APOE variants, ordered based on Alzheimer's disease risk hierarchy (ε2/ε2<ε2/ε3<ε3/ε3<ε2/ε4<ε3/ε4<ε4/ε4), with 2,318 EHR-derived phenotypes. Bonferroni-adjusted analyses were performed overall, by ancestry, by sex, and with adjustment for social determinants of health (SDOH). In the overall cohort, PheWAS identified 17 significant associations, including an increased odds of hyperlipidemia (OR 1.15 [1.14-1.16] per APOE genotype group; P=1.8×10-129), dementia, and Alzheimer's disease (OR 1.55 [1.40-1.70]; P=5×10-19), and a reduced odds of fatty liver disease (OR 0.93 [0.90-0.95]; P=1.6×10-9) and chronic liver disease. ORs were similar after SDOH adjustment and by sex, except for an increased number of cardiovascular associations in males, and decreased odds of noninflammatory disorders of vulva and perineum in females (OR 0.89 [0.84-0.94]; P=1.1×10-5). Significant heterogeneity was observed for hyperlipidemia and mild cognitive impairment across ancestry. Unique associations by ancestry included transient retinal arterial occlusion in the European ancestry group, and first-degree atrioventricular block in the American Admixed/Latino ancestry group. We replicate extensive phenotypic associations with APOE alleles in a large, diverse cohort, despite limitations in accuracy for EHR-derived phenotypes. We provide a comprehensive catalog of APOE-associated phenotypes and present evidence of unique phenotypic associations by sex and ancestry, as well as heterogeneity in effect size across ancestry.

Identifying Effective Strategies for Improving Engagement in HIV Prevention and Care Among Transgender Persons in the United States: A Systematic Review.

This systematic review synthesized published literature (2000 - 2023) to identify HIV interventions specifically designed for transgender persons in the United States (PROSPERO registration number: CRD42021256460). The review also summarized strategies for improving outcomes related to the four pillars of the Ending the HIV Epidemic (EHE) initiative in the United States: Diagnose, Treat, Prevent, and Respond. A comprehensive search was conducted using the Centers for Disease Control and Prevention's HIV Prevention Research Synthesis Project database, which included over 120,000 citations from routine systematic searches in CINAHL, EMBASE, Global Health, MEDLINE, PsycInfo, and Sociological Abstracts. Of 23 interventions that met inclusion criteria, 94% focused on transgender women of color and 22% focused on young transgender persons aged 15-29 years old. Most interventions focused on Treat or Prevent, few focused on Diagnosis, and none focused on Respond. Twenty interventions (87%) showed improvement in at least one EHE related outcome and a quarter of these effective interventions were tested with randomized controlled trials. Common strategies observed in effective interventions include the following: engaging the community in intervention development; pilot-testing with the focus population to ensure appropriateness and acceptability; addressing social determinants of health (e.g. stigma, discrimination, violence) through empowerment and gender-affirming approaches; increasing access to care, prevention, and services through co-location and one-stop shop models; and utilizing peer-led counseling, education, support, and navigation. Continuous effort is needed in addressing gaps, including more research for transgender men and rural settings and for how best to adopt and adapt best practices for subgroups of transgender population.

Strategies to Improve Access to Care for Patients With Opioid Use Disorder.

Treatment of opioid use disorder (OUD) faces several challenges, including restricted access to medications, geographical and logistical barriers, and variability in treatment availability across different communities. This article outlines several strategies aimed at improving access to medications. Pharmacy-based care could potentially extend access to medications but would require regulatory changes to empower pharmacists. In addition, telemedicine has shown promise in improving access by mitigating geographic and transportation barriers. Mobile health clinics also offer a direct approach to delivering medication-based treatments to underserved communities. Furthermore, integrating OUD treatment into primary care settings could facilitate early detection and treatment. Policy changes have increased access to take-home medications and buprenorphine initiation at home. Community engagement would be crucial for tackling the social determinants of health to offer equitable care for patients. The implementation of these strategies has the potential to significantly enhance the accessibility and delivery of effective, timely and equitable treatment to patients with OUD.

Population-based estimates of major forms of housing insecurity among community-living older Americans.

The number of older adults struggling to maintain adequate housing is growing. Prior studies have used various criteria to measure housing insecurity; however, no standardized definition exists to date. Using a multidimensional approach, our study sought to calculate population-based estimates of various forms of housing insecurity among community-living older Americans and determine how these estimates differ across key characteristics. This study utilized data from the 2011 round of the National Health and Aging Trends Study (NHATS), a prospective longitudinal study of Medicare beneficiaries aged 65 years or older. Three key forms of housing insecurity were operationalized: poor housing affordability (PHA), poor housing quality (PHQ), and poor neighborhood quality (PNQ). Population-based estimates of these forms of housing insecurity were calculated using analytic sampling weights and stratified by age, gender, race and ethnicity, frailty status, and dementia status. Totally 6466 participants were included in the analysis, representing 29,848,119 community-living older Americans. The mean (standard deviation) age was 77.3 (7.7) years; by weighted percentages, 56.0% identified as female, 81.3% as White, 8.2% Black, and 7.1% Hispanic. At least one form of housing insecurity was identified in 38.5% of older Americans. Individually, the prevalence of PHA was 14.8%, PHQ 24%, and PNQ 12.5%. The prevalence of at least one form of housing insecurity was higher among persons of color (62.9% Black and 66% Hispanic vs White; p < 0.001), those with frailty (40.9% pre-frail and 49.4% frail vs robust; p < 0.001), and those with cognitive impairment (48.1% possible and 51% probable dementia vs no dementia; p < 0.001). Nearly one in three community-living older Americans experience at least one form of housing insecurity. This was most common among vulnerable subgroups. Our multidimensional approach to defining various forms of housing insecurity can be used for future studies focused on improving social determinants of health among high-risk older adults.

Trends and Rates of Reporting of Race, Ethnicity, and Social Determinants of Health in Spine Surgery Randomized Clinical Trials: A Systematic Review.

A systematic review. We characterized the rates of sociodemographic data and social determinants of health (SDOH) reported in spinal surgery randomized control trials (RCTs) and the association between these RCTs' characteristics and their rates of reporting on race, ethnicity, and SDOH variables. Although numerous institutions maintain guidelines and recommendations regarding the inclusion and reporting of sociodemographic and SDOH variables in RCTs, the proportion of studies that ultimately report such information is unclear, particularly in spine surgery. We searched the MEDLINE, PubMed, and Embase databases for published results from spinal surgery RCTs from January 2002 through December 2022, and screened studies according to prespecified inclusion criteria regarding analysis and reporting of sociodemographic and SDOH variables. We analyzed 421 studies. Ninety-six studies (22.8%) reported race, ethnicity, or SDOH covariates. On multivariate analysis, study size [rate ratio (RR)=1.18; 95% CI, 1.06-1.32], public/institutional funding (RR=2.28; 95% CI, 1.29-4.04), and private funding (RR=3.27; 95% CI, 1.87-5.74) were significantly associated with reporting race, ethnicity, or SDOH variables. Study size (RR=1.26; 95% CI, 1.07-1.48) and North American region (RR=21.84; CI, 5.04-94.64) were associated with a higher probability of reporting race and/or ethnicity. Finally, study size (RR=1.27; 95% CI, 1.10-1.46), public/institutional funding (RR=2.68; 95% CI, 1.33-5.39), focus on rehabilitation/therapy intervention (RR=2.70; 95% CI, 1.40-5.21), and nonblinded study groups (RR=2.70; 95% CI, 1.40-5.21) were associated with significantly higher probability of reporting employment status. Rates of reporting race, ethnicity, and SDOH variables were lower in the spinal surgery RCTs in our study than in RCTs in other medical disciplines. These reporting rates did not increase over a 20-year period. Trial characteristics significantly associated with higher rates of reporting were larger study size, North American region, private or public funding, and a focus on behavioral/rehabilitation interventions. Level III.

Comparing Two-Step Approaches to Measuring Gender Identity: The Reliability and Applications of Asking About Sex Assigned at Birth versus Transgender Self-Identification.

Inclusive measures of gender are critical for health equity research. This study compared the reliability and applications of two different approaches for measuring gender in response to emerging community concerns regarding the potential harms of asking about sex assigned at birth (SAAB) within transgender and gender diverse (TGD) populations. Using data from a 2021 survey of LGBTQ+ people in Washington state, we compared approaches for measuring gender via a two-step question that collected data on: (1) current gender and SAAB versus (2) current gender and transgender self-identification. Among 2,275 LGBTQ+ participants aged 9-81, 63% were cisgender, 35% TGD, and 2% were not categorized. There was near perfect agreement between the two methods in their ability to identify TGD participants (percent agreement=99.7%, unweighted Cohen's Kappa=0.99). Among gender diverse participants, stratification by SAAB revealed differences in sexual health outcomes, while stratification by transgender self-identification revealed differences in access to gender-affirming care and lifetime experiences of discrimination. Ascertaining SAAB may be most useful for identifying sexual health disparities while transgender self-identification may better illuminate healthcare needs and social determinants of health among TGD people. Researchers and public health practitioners should critically consider the acceptability and relevance of SAAB questions to their research goals.

Addressing Challenges in Undergraduate Community Health Nursing Clinical: Kolb's Experiential Learning Theory.

The undergraduate nursing students enrolled in community health nursing clinical course must assess vulnerable populations impacted by social determinants of health and develop appropriate population-specific and evidence-based community interventions. However, students struggle to associate community-based experiences with learning and clinical course objectives. This article describes the experiential learning theory approach to guide and enhance student learning in the undergraduate community health nursing clinical course. Kolb's experiential learning theory was used to guide self-reflection process after clinical experience for undergraduate nursing students in their last semester of their education. The guided reflection helped nursing students translate experience into concepts and associate community-based clinical experience with their learning to meet clinical course objectives. Kolb's experiential learning theory is transformative in enhancing student learning in community health nursing care clinical education. The landscape of teaching and practice environment is evolving; therefore, teaching methods must follow suit. [J Nurs Educ. 2024;63(X):XXX-XXX.].

Applying cognitive walkthrough methodology to improve the usability of an equity-focused implementation strategy

BackgroundOur research team partnered with primary care and quality improvement staff in Federally Qualified Community Health Centers (CHCs) to develop Partnered and Equity Data-Driven Implementation (PEDDI) to promote equitable implementation of evidence-based interventions. The current study used a human-centered design methodology to evaluate the usability of PEDDI and generate redesign solutions to address usability issues in the context of a cancer screening intervention.MethodsWe applied the Cognitive Walkthrough for Implementation Strategies (CWIS), a pragmatic assessment method with steps that include group testing with end users to identify and prioritize usability problems. We conducted three facilitated 60-min CWIS sessions with end users (N = 7) from four CHCs that included scenarios and related tasks for implementing a colorectal cancer (CRC) screening intervention. Participants rated the likelihood of completing each task and identified usability issues and generated ideas for redesign solutions during audio-recorded CWIS sessions. Participants completed a pre-post survey of PEDDI usability. Our research team used consensus coding to synthesize usability problems and redesign solutions from transcribed CWIS sessions.ResultsUsability ratings (scale 0–100: higher scores indicating higher usability) of PEDDI averaged 66.3 (SD = 12.4) prior to the CWIS sessions. Scores averaged 77.8 (SD = 9.1) following the three CWIS sessions improving usability ratings from “marginal acceptability” to “acceptable”. Ten usability problems were identified across four PEDDI tasks, comprised of 2–3 types of usability problems per task. CWIS participants suggested redesign solutions that included making data fields for social determinants of health and key background variables for identifying health equity targets mandatory in the electronic health record and using asynchronous communication tools to elicit ideas from staff for adaptations.ConclusionsUsability ratings indicated PEDDI was in the acceptable range following CWIS sessions. Staff identified usability problems and redesign solutions that provide direction for future improvements in PEDDI. In addition, this study highlights opportunities to use the CWIS methodology to address inequities in the implementation of cancer screening and other clinical innovations in resource-constrained healthcare settings.

Impact of Social Determinants of Health on Health-Related Quality of Life Among Cancer Survivors in the United States.

Purpose : Health-related quality of life (HRQoL) is a critical aspect of cancer survivorship, influenced by various social determinants of health (SDoH) such as economic stability, education access, and healthcare coverage. Understanding the impact of these determinants is essential for developing interventions that improve the well-being of cancer survivors. Methods : Cross-sectional analyses were conducted using data from 20,534 adults with cancer, including 15,754 from the All of Us (AOU) Research Program (2015-2024) and 4,780 from the National Health and Nutrition Examination Survey (NHANES) (2001-2018). HRQoL outcomes were assessed across multiple dimensions: physical health, mental health, emotional well-being, social support, functional ability, and physical activity. Results : Higher economic stability, education access, and healthcare coverage were significantly associated with better HRQoL outcomes in both cohorts. In the AOU cohort, those with higher family income were more likely to report very good (OR: 20.24; CI: 12.86-31.87) or excellent (OR: 33.06; CI: 20.01-54.64) quality of life. Similar trends were observed for physical and mental health. The NHANES cohort showed consistent findings. Participants with no negative SDoH factors were significantly more likely to report excellent outcomes across all HRQoL dimensions. Conclusions and Implications for Cancer Survivors : These findings highlight the significant impact of SDoH on cancer survivors' HRQoL and support the need for targeted interventions and policies to mitigate the adverse effects of negative SDoH factors. Addressing economic, educational, and healthcare disparities is crucial for improving the long-term health and quality of life of cancer survivors.

Global Health Management: Addressing Health Disparities And Inequalities

It is the state's responsibility to provide access to public health care management for the poor and vulnerable, as the cost of curative care is disproportionately higher among lower income groups, the majority of whom are Dalits. India's population health has significantly improved during the past 70 years. The disparity across social groupings is still rather large, though. Low health status is clearly associated with poverty, being a woman, living in a rural area, belonging to a tribal ethnic group, being a scheduled caste (SC), and belonging to particular minority groups. In order to guarantee health fairness, it is necessary to review the environment and policy implementation regime. The purpose of this article is to provide context for relevant healthcare concerns and challenges by examining a few key health, poverty, illness-related costs, and coping techniques across social groupings indicators. The conceptual foundation for the health effects of public health care management's globalisation is described in this study. An examination of the main social determinants influencing population health is known as the social determinant of health.

Cardiovascular Risk Factors in Socioeconomically Disadvantaged Populations in a Suburb of the Largest City in Western Romania

Background and Objectives: Cardiovascular disease (CVD) remains a major public health issue worldwide, disproportionately affecting socioeconomically disadvantaged populations due to the social determinants of health (SDOHs). In Western Romania, these populations are particularly vulnerable to CVD. This study aims to investigate the prevalence and impact of cardiovascular risk factors (CVRFs) among socioeconomically disadvantaged individuals in Western Romania and identify the primary CVRFs contributing to the high incidence of CVD within this population. Materials and Methods: A retrospective observational design was employed, utilizing data from the medical records of 1433 eligible individuals. The inclusion criteria were based on Eurostat’s EU-SILC benchmarks, focusing on severe material deprivation, at-risk-of-poverty rates, and low work intensity. Data on demographics, familial and personal medical history, smoking status, blood pressure, glucose, cholesterol, triglycerides, and HbA1c levels were collected. Results: Of the 1433 subjects, 34.75% were male, with a median age of 52 years. Significant conditions included diabetes (7.39%), coronary disease (3.83%), arterial hypertension (35.58%), and dyslipidemia (21.28%). Median ages were higher for those with diabetes (65 vs. 51 years, p &lt; 0.0001), coronary disease (64 vs. 51 years, p &lt; 0.0001), arterial hypertension (65 vs. 43 years, p &lt; 0.0001), and dyslipidemia (66 vs. 47 years, p &lt; 0.0001). BMI (Body Mass Index) classifications showed 33.77% were overweight, 21.21% obese, and 15.07% morbidly obese. Smokers were younger than non-smokers (48 vs. 54 years, p &lt; 0.0001). Conclusions: The findings highlight the significant prevalence of CVRFs among socioeconomically disadvantaged populations in Western Romania. Socioeconomically disadvantaged populations exhibit a significantly higher prevalence of cardiovascular risk factors such as diabetes, impaired glucose regulation, hypertension, and dyslipidemia compared to their before known status.

Social Determinants of Health and Disparities in Pregnancy Outcomes

OBJECTIVE: To examine the extent to which racial and ethnic disparities in adverse pregnancy outcomes between non-Hispanic Black women and non-Hispanic White women may be explained by social determinants of health (SDoH). METHODS: This study was a secondary analysis of a prospective cohort study (nuMoM2b [Nulliparous Pregnancy Outcomes Study: Monitoring Mothers-to-Be]) that enrolled 10,038 nulliparous individuals with singleton pregnancies. This analysis included only individuals who identified as non-Hispanic Black or non-Hispanic White. We used the nonlinear extension of the Oaxaca-Blinder decomposition based on logistic regression to estimate the percentage contribution of SDoH to racial and ethnic disparity in preterm birth (PTB) and preeclampsia. Eleven SDoH variables in the models covered various SDoH domains (ie, sociodemographic, psychological, behavioral, social relationship, and health care access and quality). RESULTS: Of 10,038 individuals, 1,321 non-Hispanic Black and 5,762 non-Hispanic White individuals composed the study population. Compared with non-Hispanic White individuals, non-Hispanic Black individuals had 3.9% (95% CI, 2.0–5.7) and 4.1% (95% CI, 2.2–6.0) higher frequencies of PTB and preeclampsia, respectively. A large proportion of disparities between non-Hispanic White women and non-Hispanic Black women in PTB (56.4%; 95% CI, 2.9–100.0) and preeclampsia (71.2%; 95% CI, 17.5–100.0) may be explained by SDoH. CONCLUSION: A large percentage of the racial and ethnic disparities between non-Hispanic Black and non-Hispanic White individuals in PTB and preeclampsia were explained by SDoH. These findings underscore the contribution of SDoH to racial and ethnic disparities in adverse pregnancy outcomes and point to intervention targets to reduce racial health disparities.

P035 SOCIAL DETERMINANTS OF HEALTH AND CONTROL OF HYPERTENSION

Background and Objectives: Recent national blood pressure (BP) survey data of adults in Canada and United States show a troubling decline in the control of hypertension, particularly in women, the elderly and those with low income, less education and under-using health services. Social determinants of health (SDH) can be important barriers to controlling hypertension. Studies assessing associations of BP control and SDH have focused on one or a few domains. Objectives of this study are to screen treated hypertensive patients for a wide range of SDH, test for correlations and assess the effects of high-quality treatment on SDH and BP control relationship. Method: We created and applied a screening tool to gather personal information on 14 SDH from consecutive consenting eligible patients attending a complex hypertension care clinic. Logistic regression was used to assess association of each SDH domain with BP control. Results: Of 90 patients enrolled, 88 completed the 6-month study. At baseline, mean age (standard deviation) was 64 (14) years, 64% male, 69% white, 25% experiencing financial hardship, mean BMI 30.4 kg/m2 (5.9), mean automated office BP 138/78 (23/14), mean number of co-morbid conditions 4.2 (2.0) and 55% had treatment-resistant hypertension. From baseline to exit, BP fell to 127/73 (17/12), p&lt;0.001, mean number of antihypertensive drug classes increased from 3.06 (1.43) to 3.23 (1.30), p=0.049 but BMI remained unchanged. There were no associations between uncontrolled hypertension and any of the 14 SDOH domains at baseline. However, at exit financial status was associated with uncontrolled hypertension on univariate analysis (p=0.022) and on multivariate analysis. Stress (p=0.063) and optimism status (p=0.085] showed a similar trend. These analyzes indicated better BP control among those with poorer financial status, higher stress levels or more pessimistic outlook. Conclusion: None of the SDOH were associated with uncontrolled hypertension at baseline. However good medical care and follow-up appeared to have improved BP control, noticeably in those experiencing financial hardship. Explanation of findings requires further study.

Correlation of Patient-Reported Social Determinants of Health With Census Tract Measures of Socioeconomic Disadvantage in Patients With GI Cancers in Eastern North Carolina.

Investigating the impact of social determinants of health (SDOHs) on cancer care in large populations relies on census estimates. Routine clinic SDOH screening provides timely patient-level information which could inform best practices. This study evaluated the correlation between patient-reported SDOH needs and population-level census tract measures. This was a retrospective cross-sectional study of a cohort of adult patients with GI malignancy screened for SDOHs such as financial insecurity, transportation, and food insecurity during initial outpatient evaluation at East Carolina University (formerly Vidant) Health Medical Center in Greenville, NC (November 2020-July 2021). Primary outcomes included number and severity of identified SDOH needs and area deprivation index (ADI) and census tract measures for each patient. Spearman rank correlations were calculated among patient-level needs and between patient-level needs and similar census tract measures. Of 112 patients screened, 58.9% self-identified as White (n = 66) and 41.1% as Black (n = 46). A total of 50.5% (n = 54) resided in a rural county. The collective median state ADI rank was 7 (IQR, 5-9). The median household income was $38,125 in US dollars (USD) (IQR, $31,436-$48,934 [USD]). Only 12.5% (n = 14) reported a moderate or severe financial need. Among reported needs, financial need moderately correlated with food insecurity (coefficient, 0.46; P < .001) and transportation (coefficient, 0.45; P < .001). Overall, census tract measures and reported needs poorly correlated. Lack of transportation correlated with percentage of households without a vehicle (coefficient, 0.18; P = .03) and limited access to healthy foods (coefficient, 0.18; P = .04). Given the poor correlation between reported and census needs, population-level measures may not accurately predict patient-reported needs. These findings highlight the importance of SDOH screening in the clinical setting to reduce health disparities and identify opportunities to improve care delivery.

The Impact of Social Determinants of Health on the Prognosis of Primary Bone Tumors: A Systematic Review.

Although the prevalence of primary bone tumors (PBTs) was reported to be relatively low, they represent a difficult category of tumors for appropriate prediction, prevention, diagnosis, and treatment. Among different factors contributing to the prognosis and treatment outcomes of patients with these tumors, it is assumed that social determinants of health (SDOH) have not been well investigated nor applied in the process of decision making for these patients. In this systematic review, databases including PubMed, Web of Science, Scopus, Embase, Science Direct, and CINAHL were used. To ensure the quality of the studies and assess them for bias, we used the Methodological Index for Nonrandomized Studies scaling tool. The relevant data were extracted from the included studies and reported. Twenty-five studies were included in our review based on the inclusion criteria. Age, socioeconomic status, education, and employment status; place of living and neighborhood; race and ethnicity; and insurance coverage were found to impact the outcomes and prognosis of PBTs. Literature has shown correlations of various SDOH with the outcomes of PBTs. SDOH are not independent of each other; including and interpreting them in the process of decision making should be in a multifactorial and intercalated manner. We suggest prospective studies on finding the effect of inventing with SDOH through changes in health care policies, educating patients and care providers, improving socioeconomic conditions, and providing better insurance support, on the outcomes of PBTs. Level III. See Instructions for Authors for a complete description of levels of evidence.

Upper gastrointestinal cancers: Trends and determinants of location of death

BackgroundPatients diagnosed with upper gastrointestinal cancers often require extensive end-of-life care. We sought to investigate social determinants of health associated with disparities in the location of death among patients who died of upper gastrointestinal cancers. MethodsPatients who died between 2003 and 2020 from esophageal cancer, gastric cancer, hepatobiliary cancer, and pancreatic cancer were identified using the Centers for Disease Control and Prevention Wide-Ranging Online Data for Epidemiologic Research database. Social determinants of health were assessed using the Social Vulnerability Index. Patients were categorized on the basis of location of death: inpatient hospital, home, nursing home, hospice, and outpatient medical facility/emergency department. Multivariable regression and mediation analyses defined the association of patient race as well as social determinants of health with location of death. ResultsAmong 815,780 decedents (esophageal cancer: 15.3%; gastric cancer: 3.6%; hepatobiliary cancer: 36.6%; pancreatic cancer: 54.5%), most were male (60.8%), aged 55–74 years (52.3%), and White (89.1%). Most decedents died at home (55.7%), followed by inpatient hospital (24.8%), hospice (9.0%), nursing home (8.1%), and outpatient medical facility/emergency department (2.5%). During the study period, location of death shifted notably from inpatient hospital (36.8% to 21.3%) to home (45.8% to 56.3%). Residents of high Social Vulnerability Index areas were more likely to die at inpatient hospital compared with home (31.8% vs 24.3%) (P < .001). Black race (reference: White; odds ratio; 0.41, 95% confidence interval, 0.40–0.42) and social vulnerability (reference: low Social Vulnerability Index; odds ratio, 0.64, 95% confidence interval, 0.63–0.65) remained independently associated with lower odds of dying at home compared with an inpatient hospital. Notably, 65% of the overall race-based association with death at inpatient hospital was driven indirectly through social determinants of health. ConclusionSocial determinants are important drivers of end-of-life care and impact the potential ability of patients with cancer to die at home.

The “Latines Lideres En Salud (LaLiSa)” study: Rationale and design

BackgroundLatines suffer from breast cancer (BC), due to elevated biological and social determinants of health (SDOH) risks. This study compares the effects of different strategies on uptake of cancer genetic services, specifically hereditary cancer risk assessment, genetic counseling, and genetic testing, and risk-based BC care. Design/methodsIn Chicago, Illinois, Aim 1 participants are recruited from a federally qualified health center (FQHC) and community venues. For Aim 1, eligible participants: (1) are female; (2) are Latine; (3) are 30+ years old; (4) have personal or family history of BC or cancers with shared hereditary mutations; (5) have at least one SDOH risk; and (6) have not received any cancer genetic services. Participants are randomly assigned to different study arms. Both arms include phone-based sessions, FQHC-based navigation for SDOH, and low- or no-cost cancer genetic services. The educate sessions focus on risk assessment and prevention. The empower sessions focus on risk assessment and equip participants with the skills to share information about FQHC-based cancer genetic services. For Aim 2, eligible participants are: (1) female; (2) network members of Aim 1 participants; and (3) eligible for BC screening based on guidelines recommended by the American Cancer Society (ACS). Primary outcomes include uptake of any cancer genetic services. Analyses will also explore intervention differences by neighborhood context. DiscussionThis is one of the first trials focused on Latines' participation in cancer genetic services and risk-based BC care within the context of SDOH - which has major implications for equity in precision cancer prevention.

Relationship between social determinants of health and hospitalizations and costs in patients with major depressive disorder.

The relationship of patient characteristics and social determinants of health (SDOH) with hospitalizations and costs in patients with major depressive disorder (MDD) has not been assessed using real-world data. To identify factors associated with higher hospitalizations and costs in patients with MDD. A retrospective observational study identified patients aged 18 years and older newly diagnosed with MDD between July 1, 2016, and December 31, 2018. SDOH were linked to patients at the "near-neighborhood" level. Multivariable models assessed association of patient characteristics with hospitalizations (incidence rate ratios [95% CI]) and costs (cost ratios [95% CI]). Of 1,958,532 patients with MDD, 49.6% had Commercial and 50.4% Medicaid insurance; mean ages were similar (43.9; 43.4) with more female patients (67.6%; 70.5%). MDD patients with Commercial insurance had a mean household income of $75,044; 53.2% were married; 76.5% owned their home; 64.4% completed high school or less; and 2.8% had limited English-language proficiency (LEP). Patients covered by Medicaid had a household income of $46,708; 68.1% lived alone with 41.6% married; 54.6% owned their home; more than 4-in-5 patients (80.8%) completed high school or less, and 6.3% had LEP. Nearly one-third of Medicaid insured patients with MDD had at least 1 hospitalization (29.6%) with a mean length of stay 6.8 days; total health care costs were $21,467 annually. Commercially insured patients with MDD had 14.7% hospitalization rates with a length of stay of 5.9 days; total costs were $14,531. Multivariable models show female patients are less likely (Commercial 0.87; Medicaid 0.80; P < 0.05), and patients with more comorbidities are more likely to be hospitalized (Commercial 1.33; Medicaid 1.27; P < 0.05). All treatment classes relative to antidepressants only increased likelihood of hospitalizations-particularly antipsychotic+antianxiety use (Commercial 2.99; Medicaid 2.29)-and costs (Commercial 2.32; Medicaid 2.00) (all P < 0.05). Household income was inversely associated with hospitalizations for both insured populations. LEP reduced the likelihood of hospitalizations by more than 70% among Medicaid patients (0.27, P < 0.05) and was associated with higher costs for Commercial (2.01) but lower costs for Medicaid (0.37) (P < 0.05). Living in areas with no shortage of mental health practitioners was associated with higher hospitalizations and costs. We identified patient characteristics associated with higher rates of hospitalizations and costs in patients with MDD in 2 insured populations. Female sex, higher comorbidities, and living in areas with no shortage of mental health practitioners were associated with higher hospitalizations and costs, whereas income was inversely associated with hospitalizations. The findings suggest disparities in access to care related to income, LEP, and availability of mental health practitioners that should be addressed to assure equitable care for patients with MDD.