Social Determinants Of Health Domains Research Articles

Leveraging Artificial Intelligence and Data Science for Integration of Social Determinants of Health in Emergency Medicine: Scoping Review.

Social determinants of health (SDOH) are critical drivers of health disparities and patient outcomes. However, accessing and collecting patient-level SDOH data can be operationally challenging in the emergency department (ED) clinical setting, requiring innovative approaches. This scoping review examines the potential of AI and data science for modeling, extraction, and incorporation of SDOH data specifically within EDs, further identifying areas for advancement and investigation. We conducted a standardized search for studies published between 2015 and 2022, across Medline (Ovid), Embase (Ovid), CINAHL, Web of Science, and ERIC databases. We focused on identifying studies using AI or data science related to SDOH within emergency care contexts or conditions. Two specialized reviewers in emergency medicine (EM) and clinical informatics independently assessed each article, resolving discrepancies through iterative reviews and discussion. We then extracted data covering study details, methodologies, patient demographics, care settings, and principal outcomes. Of the 1047 studies screened, 26 met the inclusion criteria. Notably, 9 out of 26 (35%) studies were solely concentrated on ED patients. Conditions studied spanned broad EM complaints and included sepsis, acute myocardial infarction, and asthma. The majority of studies (n=16) explored multiple SDOH domains, with homelessness/housing insecurity and neighborhood/built environment predominating. Machine learning (ML) techniques were used in 23 of 26 studies, with natural language processing (NLP) being the most commonly used approach (n=11). Rule-based NLP (n=5), deep learning (n=2), and pattern matching (n=4) were the most commonly used NLP techniques. NLP models in the reviewed studies displayed significant predictive performance with outcomes, with F1-scores ranging between 0.40 and 0.75 and specificities nearing 95.9%. Although in its infancy, the convergence of AI and data science techniques, especially ML and NLP, with SDOH in EM offers transformative possibilities for better usage and integration of social data into clinical care and research. With a significant focus on the ED and notable NLP model performance, there is an imperative to standardize SDOH data collection, refine algorithms for diverse patient groups, and champion interdisciplinary synergies. These efforts aim to harness SDOH data optimally, enhancing patient care and mitigating health disparities. Our research underscores the vital need for continued investigation in this domain.

Contraceptive Use and Its Associations With Social Determinants of Health Among Young Adults.

Nonuse and inconsistent use of contraception in young adults can result in undesired pregnancies. Prior research on contraceptive use has primarily focused on individual influences such as attitudes, beliefs, and skills related to contraceptive use, with little consideration of the social and economic determinants. This study explored domains from the Healthy People 2030 Social Determinants of Health (SDH) framework and examined their cross-sectional associations with young adults' self-reported contraceptive use (ie, any use in the past year and consistent use of contraception). Eleven measures related to 5 SDH domains were extracted from the Add Health dataset collected from 2001 to 2002 (Wave III). The final sample included 11,172 youth with a mean age of 21.88 years (SD: 1.84) and was 53.8% female. Measures associated with the past year's use of contraceptives included non-poverty status, employment, housing instability, high school graduation, enrollment in higher education, English language spoken at home, experience of civic participation, and access to primary care. For consistent use of contraception, associated measures were participants' non-poverty status, employment, high school graduation, enrollment in higher education, English language spoken at home, experience of civic participation, incarceration, and access to health care. Interventions that address social determinants of health can potentially promote contraceptive use.

Social determinants of health and youth chronic pain

ObjectivesTo identify the relationships between social determinants of health (SDOH) and chronic pain among U.S. youth (referring to children and adolescents). MethodsData including a national sample of U.S. youth were retrieved from the 2022 National Survey of Children's Health. Twenty indicators within five SDOH-related domains (e.i., economic stability, social and community context, neighborhood and built environment, health care access and quality, and education access and quality) were included. The presence of chronic pain was assessed using a self-reported question, answered by the main caregiver. Associations of SDOH-related indicators and youth chronic pain were estimated using multi-variable logistic regression models, while adjusting for covariates (e.g., age, sex, ethnicity, weight status, and movement behaviors). ResultsData from 30,287 U S. youth aged 6–17 years (median [SD] age, 11.59 [3.30] years; 14,582 girls [48.97 %]) were collected. In 7.5 % of the final sample size, caregivers reported that they had chronic pain. Youth grow up in conditions with diverse SDOH profiles, including food insufficiency (OR = 1.46, 95 % CI: 1.01 to 2.10) and parental unemployment (OR = 1.56, 95 % CI: 1.15 to 2.12); low school engagement (OR = 1.48, 95 % CI: 1.14 to 1.92) and low school safety (OR = 1.65, 95 % CI: 1.14 to 2.39); limited access to quality health care (OR = 2.56, 95 % CI: 2.12 to 3.09), a high frequency of hospital visits (OR = 4.76, 95 % CI: 1.82 to 12.44), and alternative health care (OR = 2.57, 95 % CI: 2.07 to 3.20); bullying victimization (OR = 1.37, 95 % CI: 1.11 to 1.68) and community-based adverse childhood experiences (OR = 1.64, 95 % CI: 1.32 to 2.05); and disadvantageous amenity characteristics (OR = 1.38, 95 % CI: 1.05 to 1.79); resulted in higher odds of presenting chronic pain. ConclusionsDifferent indicators included in the SDOH domains were associated with a higher probability of presenting chronic pain in U.S youth. These findings have implied relationships between the SDOH and chronic pain in youth, requiring a comprehensive approach to addressing health equity to prevent and reduce the presence of youth chronic pain.

Exploratory Online Survey Regarding Perceptions of Health Inequities Influenced by Social Determinants of Health Among Cardiovascular Disease Patients.

Despite establishing conventional risk factors and preventive medicine for cardiovascular diseases (CVD), there remains a notable lack of research for identifying social determinants of health (SDOH). The aim of this study was to identify the SDOH domains contributing to health inequities perceived by Japanese CVD citizens. An online survey was conducted among 2,083 Japanese CVD patients from November 7 to 13, 2023, to assess their perceptions of 19 social determinants of health (SDOH) domains and their impact on health inequities. Using the 5-point Likert scale, a high level of agreement was defined as over 50% selecting "Agree" or "Strongly Agree." The "Health inequity perception score (HIPS)" was calculated by assigning 1 point for 'Agree' and 2 points for 'Strongly Agree.' Additionally, patient factors that defined a group with HIPS above the median were also evaluated. High agreement was noted in 7 out of 19 domains: "Employment" (61%), "Food Insecurity" and "Environmental Condition" (each at 60%), "Poverty" (58%), "Early Childhood Development and Education" (57%), "Housing Instability and Quality" (56%), and "Access to Health Service" (52%). Young age, high annual income, high educational level, and living alone were significantly associated with high HIPS. This study highlights that several SDOH factors commonly acknowledged in Western contexts are also recognized as contributors to health inequities among Japanese CVD patients.

Social Determinants of Health in Diverticulitis: A Systematic Review.

There is growing interest in social determinants of health for surgical populations. Within diverticulitis, no systematic collation of available evidence has been performed. To assess frequency, variety, and association directions for social determinants of health in colonic diverticular disease. Four electronic databases were queried: PubMed, Embase, Cochrane, and Web of Science. Included studies reported symptomatic left-sided colonic diverticular disease with respect to a social determinant of health according to the Healthy People 2030 initiative or applicable proxy variable. Studies with non-English full text, cohort size fewer than 50, pediatric cohorts, and exclusively non-left sided disease were excluded. Quality assessment through modified Newcastle-Ottawa scale, frequency of variables reported, and effect size trends for common comparisons. Among 50 included studies, 40 were good and 10 were fair in quality. Social determinants of health in diverticulitis were identified across Economic Stability, Education Access and Quality, Health Care Access and Quality, Neighborhood and Built Environment, and Social and Community Context domains. The two most common variables were self-reported race and ethnicity (n = 33) and insurance (n = 22). Among 18 unique studies reporting comparisons of white versus any other self-reported race and ethnicity, twelve identified a disparity disadvantaging non-white groups with effect sizes (95% confidence interval ranging from 1.23 [1.10 -1.37] to 5.35 [1.32 - 21.61]). Among 15 unique studies reporting a non-private versus private insurance comparison, nine identified non-private insurance as a risk factor with effect sizes (95% confidence intervals ranging from 1.15 [1.02 - 1.29] to 3.83 [3.01 - 4.87]). Retrospective studies, heterogeneity across cohort and variable definitions. Social determinants of health domains are associated with a variety of diverticulitis outcomes. Additional studies are needed to address infrequently reported domains and identify optimal strategies for intervening in clinical settings. CRD42023422606.

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.

Exploring Colorectal Cancer Screening Reach Among United States Veterans: Analyzing Clinical, Sociodemographic, and Social Determinants of Health-Based Patient Factors Across Screening Methods: Analyzing Clinical, Sociodemographic, and Social Determinants of Health-based Patient Factors Across Screening Methods.

Mailed fecal immunochemical testing (mFIT), in-clinic FIT (cFIT), and colonoscopy are believed to reach distinct patient populations. This study aims to evaluate this belief. Sociodemographic, clinical, and social determinants of health (SDOH) characteristics of 201 patients completing mFIT, 203 patients completing cFIT, and 74 patients completing colonoscopy at a Northeastern United States Veterans Affairs center from August 2023 to January 2024 were compared using descriptive statistics, χ2, and ANOVA tests. Patients completing mFIT (P=0.003) and cFIT (P=0.001) were older than those completing colonoscopy. mFIT patients had more private health insurance as compared with cFIT (P<0.0001) patients. Patients completing colonoscopy had higher average disability ratings as compared with cFIT patients (P<0.0001). mFIT (P<0.0001) and colonoscopy (P<0.0001) patients had more time elapsed since their last primary care visit as compared with cFIT patients. mFIT patients had lower rates of mental health disorders as compared with colonoscopy (P<0.0001) and cFIT (P<0.0001) patients. cFIT patients had higher rates of past stool test use as compared with mFIT (P<0.0001) and colonoscopy (P<0.0001) patients. mFIT patients had lower rates of past colonoscopy completion as compared with cFIT (P<0.0001) and colonoscopy (P<0.0001) patients. There were no significant differences in SDOH domains among patients completing each of the screening methods. While each of the screening methods reaches a different patient population, mFIT does not reach a substantially more vulnerable population compared with cFIT and colonoscopy, highlighting the need for improvements in mFIT outreach.

Social Determinants Influencing Nutrition Behaviors and Cardiometabolic Health in Indigenous Populations: A Scoping Review of the Literature.

Nutrition behavior is influenced by a large number of factors, including social and cultural factors. This scoping review aims to summarize how social determinants of health (SDoH) influence nutrition behaviors in Indigenous populations affected by or at risk of cardiometabolic diseases. Following the PRISMA-ScR guidelines, we conducted a systematic search in six databases-PubMed, Web of Science, CINAHL, PsycINFO, Cochrane Library, and World Health Organization Global Index Medicus-limiting results to studies published in English up to 27 October 2023. A descriptive synthesis was conducted. We identified 1490 articles, and after screening, 31 of them met our inclusion criteria. We found that nutritional behavior is impacted by various SDoH domains, including economic stability, neighborhood and built environment, education, health and healthcare, and social and community context. The shift from traditional diets to Westernized diets and from subsistence-based food gathering to reliance on store-bought and processed foods reflects changes in SDoH, affecting both nutrition behaviors and health outcomes. Although not all included studies examined every SDoH domain in our review, future research should consider all domains to gain a comprehensive understanding of how they impact nutritional behavior. This approach will better inform interventions and policies, ultimately promoting health equity in Indigenous communities.

An exploratory analysis of the impact of area-level exposome on geographic disparities in aggressive prostate cancer

Numbers of aggressive prostate cancer (aPC) cases are rising, but only a few risk factors have been identified. In this study, we introduce a systematic approach to integrate geospatial data into external exposome research using aPC cases from Pennsylvania. We demonstrate the association between several area-level exposome measures across five Social Determinants of Health domains (SDOH) and geographic areas identified as having elevated odds of aPC. Residential locations of Pennsylvania men diagnosed with aPC from 2005 to 2017 were linked to 37 county-/tract-level SDOH exosome measures. Variable reduction processes adopted from neighborhood-wide association study along with Bayesian geoadditive logistic regression were used to identify areas with elevated odds of aPC and exposome factors that significantly attenuated the odds and reduced the size of identified areas. Areas with significantly higher odds of aPC were explained by various SDOH exposome measures, though the extent of the reduction depended on geographic location. Some areas were associated with race (social context), health insurance (access), or tract-level poverty (economics), while others were associated with either county-level water quality or a combination of factors. Area-level exposome measures can guide future patient-level external exposome research and help design targeted interventions to reduce local cancer burden.

Social Determinants of Health and Patient-Reported Difficult Discontinuation of Long-Acting Reversible Contraception.

Background: Some individuals who receive long-acting reversible contraception (LARC) face barriers to discontinuation. The inability to discontinue a contraceptive method when desired negatively impacts a person's reproductive autonomy. Persons impacted by social determinants of health (SDH) may be disproportionately affected. The objective of this study is to evaluate the association of SDH with patient-reported difficult LARC discontinuation. Methods: A retrospective cross-sectional analysis of data from the 2017-2019 cycle of the National Survey of Family Growth was conducted. The main outcome was patient-reported difficulty discontinuing a LARC method (intrauterine device or implant) in the last 10 years. Descriptive statistics were used to identify demographic characteristics and SDH domains. Multivariable logistic regression models were used to estimate associations across SDH domains with difficult LARC removal. Results: A total of 754 respondents reported wanting to have their LARC removed, and 105 (11%) reported difficulty discontinuing LARC methods. One-third of respondents experienced one or more SDH, notably food insecurity (26%) or transportation barriers (30%). After adjusting for age, race, education, geographic location, parity, and body mass index (BMI), persons with one or more SDH had an increased adjusted odds ratio (aOR) for difficultly discontinuing LARCs compared with respondents without any SDH (2.11; 95% confidence interval [CI]: 1.21, 3.69). Transportation barriers demonstrated the largest aOR of 2.90 (95% CI: 1.07, 7.87). Conclusions: SDH are associated with challenges to LARC discontinuation. SDH are unique risk factors that can impact one's entire contraceptive experience. A nuanced discussion of SDH at the time of contraceptive counseling may be a critical step in addressing the intersectionality of method selection and reproductive agency.

A - 13 Social Determinants of Health and Health Equity in Return to Learn Following Sport-Related Concussion

Abstract Purpose We conducted a narrative review and content analysis to (i) determine the extent to which research on return to learn (RTL) following sport-related concussion (SRC) has considered social determinants of health (SDoH) or health equity and (ii) provide recommendations to enhance the incorporation of SDoH and health equity into considerations of how best to support concussed students as they RTL following injury. Data Selection We coded 32 studies from a systematic review focused on clinical recovery following SRC, including RTL (Putukian et al., 2023). The review informed the latest Concussion in Sport Group consensus statement (Patricios et al., 2023). We examined studies to determine whether the SDoH domains and subcategories, derived from the US Department of Health and Human Services Healthy People 2020 and 2030 websites, were addressed. Pairs of raters coded articles independently and resolved disagreements through discussion. Conclusions SDoH remain largely unrepresented in studies on return to school following concussion. Future research is needed to better characterize how SDoH and health equity factors influence return to school following concussion to ensure that concussed and recovering students are supported.

The Development of Social Determinants of Health Outcome Measures: The Role of Multisector Partnerships and Community Validation

Purpose To develop a set of social determinants of health (SDOH) measurements. Problem Despite burgeoning interest in addressing both SDOH and health-related social needs, the evidence on what works is limited due in part to the lack of standardized measures for evaluation. Methods In 2020, the Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) identified 5 SDOH domains related to chronic disease for future programmatic work. These included built environment, community connections to clinical care, tobacco-free policies, social connectedness, and food and nutrition security. Subsequently, NCCDPHP launched an effort to develop a set of SDOH measures for evaluating funded programs in these domains. The approach involved a literature scan and a rating process based on 5 criteria relevant to NCCDPHP’s SDOH priorities. A complementary community review by 13 multisector community partnerships (MCPs) applied a real-world public health practice lens to measure development. MCPs’ ratings were analyzed to create summary scores for each measure, and open-ended feedback was synthesized using rapid qualitative analysis. Results The internal workgroup identified 59 measures from the initial 200 measures. Feedback from the MCPs identified issues of relevancy and burden of measures. Their high scores narrowed the 59 measures to 22 covering all 5 domains. In response, CDC is honing the original measures review criteria to include community perspectives. Conclusion Public health measures development is often an academic pursuit. Engaging MCPs lends real-world credibility to the development of common SDOH measures.

Multiplicative Impact of Adverse Social Determinants of Health on Outcomes in Lupus Nephritis: A Meta-analysis and Systematic Review.

Social determinants of health (SDoH) likely contribute to outcome disparities in lupus nephritis (LN). Understanding the overall burden and contribution of each domain could guide future health equity-focused interventions to improve outcomes and reduce disparities in LN. Objectives of this meta-analysis were to 1) determine the association of overall SDoH and specific SDoH domains on LN outcomes and 2) develop a framework for the multidimensional impact of SDoH on LN outcomes. We performed a comprehensive search of studies measuring associations between SDoH and LN outcomes. We examined pooled odds of poor LN outcomes including death, end-stage kidney disease, or cardiovascular disease in patients with and without adverse SDoH. Additionally, we calculated the pooled odds ratios of outcomes by four SDoH domains: individual (eg, insurance), health care (eg, fragmented care), community (eg, neighborhood socioeconomic status), and health behaviors (eg, smoking). Among 531 screened studies, 31 meeting inclusion criteria and 13 with raw data were included in meta-analysis. Pooled odds of poor outcomes were 1.47-fold higher in patients with any adverse SDoH. Patients with adverse SDoH in individual and health care domains had 1.64-fold and 1.77-fold higher odds of poor outcomes. We found a multiplicative impact of having two or more adverse SDoH on LN outcomes. Black patients with public insurance and fragmented care had 12-fold higher odds of poor LN outcomes. Adverse SDoH is associated with poor LN outcomes. Having two or more adverse SDoH, specifically in different SDoH domains, had a multiplicative impact leading to worse LN outcomes, widening disparities.

Neighborhood-level Social Determinants of Health and Waitlist Mortality for Liver Transplantation: The Liver Outcomes and Equity Index.

To examine neighborhood-level disparities in waitlist mortality for adult liver transplantation (LT), we developed novel area-based social determinants of health (SDOH) index using a national transplant database. ZIP Codes of individuals listed for or received LT in the Scientific Registry of Transplant Recipients database between June 18, 2013, and May 18, 2019, were linked to 36 American Community Survey (ACS) variables across 5 SDOH domains for index development. A step-wise principal component analysis was used to construct the Liver Outcomes and Equity (LOEq) index. We then examined the association between LOEq quintiles (Q1 = worst and Q5 = best neighborhood SDOH) and waitlist mortality with competing risk regression among listed adults in the study period and acuity circle (AC) era. The final LOEq index consisted of 13 ACS variables. Of 59 298 adults waitlisted for LT, 30% resided in LOEq Q5 compared with only 14% in Q1. Q1 neighborhoods with worse SDOH were disproportionately concentrated in transplant regions with low median Model for End-Stage Liver Disease at transplant (MMAT) and shorter wait times. Five years cumulative incidence of waitlist mortality was 33% in Q1 in high MMAT regions versus 16% in Q5 in low MMAT regions. Despite this allocation advantage, LOEq Q1-Q4 were independently associated with elevated risk of waitlist mortality compared with Q5, with highest increased hazard of waitlist deaths of 19% (95% CI, 11%-26%) in Q1. This disparity persisted in the AC era, with 24% (95% CI, 10%-40%) increased hazard of waitlist deaths for Q1 versus Q5. Neighborhood SDOH independently predicts waitlist mortality in adult LT.

Assessing associations between individual-level social determinants of health and COVID-19 hospitalizations: Investigating racial/ethnic disparities among people living with human immunodeficiency virus (HIV) in the U.S. National COVID Cohort Collaborative (N3C).

Leveraging the National COVID-19 Cohort Collaborative (N3C), a nationally sampled electronic health records repository, we explored associations between individual-level social determinants of health (SDoH) and COVID-19-related hospitalizations among racialized minority people with human immunodeficiency virus (HIV) (PWH), who have been historically adversely affected by SDoH. We retrospectively studied PWH and people without HIV (PWoH) using N3C data from January 2020 to November 2023. We evaluated SDoH variables across three domains in the Healthy People 2030 framework: (1) healthcare access, (2) economic stability, and (3) social cohesion with our primary outcome, COVID-19-related hospitalization. We conducted hierarchically nested additive and adjusted mixed-effects logistic regression models, stratifying by HIV status and race/ethnicity groups, accounting for age, sex, comorbidities, and data partners. Our analytic sample included 280,441 individuals from 24 data partner sites, where 3,291 (1.17%) were PWH, with racialized minority PWH having higher proportions of adverse SDoH exposures than racialized minority PWoH. COVID-19-related hospitalizations occurred in 11.23% of all individuals (9.17% among PWH, 11.26% among PWoH). In our initial additive modeling, we observed that all three SDoH domains were significantly associated with hospitalizations, even with progressive adjustments (adjusted odds ratios [aOR] range 1.36-1.97). Subsequently, our HIV-stratified analyses indicated economic instability was associated with hospitalization in both PWH and PWoH (aOR range 1.35-1.48). Lastly, our fully adjusted, race/ethnicity-stratified analysis, indicated access to healthcare issues was associated with hospitalization across various racialized groups (aOR range 1.36-2.00). Our study underscores the importance of assessing individual-level SDoH variables to unravel the complex interplay of these factors for racialized minority groups.

Self-Reported Social Determinants of Health and Area-Level Social Vulnerability

Many health care systems are investing resources in identifying social determinants of health (SDoH) needs and facilitating interventions among the populations they serve. Because self-reported SDoH information is lacking, area-level measures are often used to estimate needs and direct resources. To describe the large-scale deployment of SDoH assessments by a health system and determine the extent to which self-reported SDoH needs identified therein are associated with census tract-level social vulnerability measured using the Social Vulnerability Index (SVI). This cross-sectional study assessed SDoH needs between January 1, 2020, and April 30, 2023, in both payer and clinical care settings. Modalities included telephonic outreach, face-to-face clinical interactions, self-entry into a tablet or kiosk, and web-based survey tools. Participants included individuals who responded to the assessment and had sufficient information for census tract identification. Respondents included both Highmark Health Plan members and nonmembers. Health plan members responded to the assessment through health plan programs or platforms, and both members and nonmembers responded to assessments during inpatient or outpatient encounters with the affiliated health system. Overall and domain-specific SDoH needs self-reported through assessments, and severity and complexity of needs identified. Residential social vulnerability measures included overall SVI and the 4 conceptual themes comprising overall SVI. In total, 841 874 assessments were recorded for 401 697 individuals (55.1% women; median [IQR] age, 55 [41-70] years). Social determinants of health needs were identified in 120 769 assessments (14.3%). Across all SDoH domains, increasing SVI was associated with a higher positivity rate (eg, 11.2% of those residing in the lowest-risk SVI quintile reported a need compared with 22.7% among those residing in the highest-risk quintile). Associations varied by SDoH domain and SVI theme. After adjusting for demographic and screening characteristics, odds of positive screening among those residing in the highest-risk SVI quintile were 1.74 (95% CI, 1.62-1.86) to 3.73 (95% CI, 3.48-4.00) times the odds among those residing in lowest risk quintile. In this cross-sectional study, the overall level of SDoH needs generally corresponded to area-level vulnerability. Some SDoH domains appeared far more sensitive to community characteristics than others. Notably, even among individuals from the highest-risk areas, the positive screening rate was roughly 1 in 4. These findings underscore the importance of individual-level SDoH data for service provision planning and health services research.

Social Determinants of Health and Patient-Reported Difficult Removal of Long-Acting Reversible Contraception [ID 2683430

INTRODUCTION: Lack of access to high-quality reproductive health care has been reported by persons negatively affected by social determinants of health (SDH). The inability to discontinue a contraceptive method when desired can deleteriously affect a person’s reproductive autonomy. The objective of this study is to evaluate the association of SDH with participant-reported difficult long-acting reversible contraception (LARC) removal. METHODS: A retrospective cross-sectional analysis of data from the 2017–2019 cycle of the National Survey of Family Growth was conducted. The main outcome was patient-reported difficulty discontinuing a LARC method (intrauterine device or implant) in the last 10 years. Descriptive statistics were used to identify demographic characteristics and SDH domains. Multivariable logistic regression models were used to estimate associations across SDH domains with difficult LARC removal. RESULTS: Seven hundred fifty-four respondents reported wanting to have their LARC removed. One-third of respondents experienced one or more SDH, notably food insecurity (26%) or transportation barriers (30%). 105 (11%) reported difficult LARC removal. After adjusting for age, race, education, geographic location, parity, and body mass index, persons with one or more SDH had an increased adjusted odds ratio (aOR) for difficult LARC removal compared to respondents without any SDH (2.11 [95% CI: 1.21, 3.69]). Transportation barriers demonstrated the largest aOR of 2.90 [95% CI: 1.07, 7.87]. CONCLUSION: Social determinants of health are unique risk factors that can negatively affect reproductive justice. Social determinants of health are associated with participant-reported difficult LARC removal. Consideration of SDH at the time of contraceptive selection may be a critical step in addressing equitable and safe access to contraceptives with attention to method discontinuation.

Combining zip code-based population data and pharmacy administrative claims data to create measures of social determinants of health.

Social determinants of health (SDoH) are key factors that impact health outcomes. However, there are many barriers to collecting SDoH data (eg, cost of data collection, technological barriers, and lack of standardized measures). Population data may provide an accessible alternative to collecting SDoH data for patients. To explain how population data can be leveraged to create SDoH measures, assess the association of population SDoH measures with diabetic medication adherence, and discuss how understanding a patient's SDoH can inform care plans and patient engagement. A nationally representative commercial sample of patients who were aged 18 years and older and met Pharmacy Quality Alliance inclusion criteria for diabetes mellitus were analyzed (N = 37,789). US Census and North American Industry Classification System data were combined with pharmacy administrative claims data to create SDoH measures. Derived measures represent 2 SDoH domains: (1) economic stability (housing density, housing relocation, jobs per resident, and average salary) and (2) health care access and quality (urban/rural classification, distance traveled to prescriber and pharmacy, use of a primary care provider [PCP], and residents per PCP). The association of population SDoH measures with diabetic medication adherence (proportion of days covered) was assessed via logistic regression, which included covariates (eg, sex, age, comorbidities, and prescription plan attributes). As housing density (houses per resident) increased, so did the likelihood of adherence (odds ratio = 1.54, 95% CI = 1.21-1.97, P = 0.001). Relative to patients who did not move, patients who moved once had 0.87 (95% CI = 0.81-0.93, P < 0.001) the odds of being adherent, and patients who moved 2 or more times had 0.82 (95% CI = 0.71-0.95, P = 0.008) the odds of being adherent. Compared with areas with fewer jobs per resident, patients living within a zip code with 0.16 to 0.26 jobs per resident were 1.12 (95% CI = 1.04-1.20, P = 0.002) times more likely to be adherent. Patients who lived in an urban cluster were 1.11 (95% CI = 1.01-1.22, P = 0.037) times more likely to be adherent than patients living in a rural area. Patients who travel at least 25 miles to their prescriber had 0.82 (95% CI = 0.77-0.86, P < 0.001) the odds of being adherent. Community pharmacy users had 0.65 (95% CI = 0.59-0.71, P < 0.001) the odds of being adherent compared with mail order pharmacy users. Patients who had a PCP were 1.26 (95% CI = 1.18-1.34, P < 0.001) times more likely to be adherent to their medication. Leveraging publicly available population data to create SDoH measures is an accessible option to overcome barriers to SDoH data collection. Derived measures can be used to increase equity in care received by identifying patients who could benefit from assistance with medication adherence.

Abstract 2245: Awareness and participation in cancer-related clinical trials among gastrointestinal cancer survivors

Abstract Despite significant advances in cancer prevention, early detection, and treatment, there is a persistent disparity in cancer outcomes between diverse racial/ethnic groups and medically underserved populations in the United States (US). The underrepresentation of non-white racial/ethnic groups in clinical trials (CTs) poses a critical challenge to cancer research and effective care delivery. The Hispanic/Latino population is one of the fastest-growing ethnic groups in the US and has a high rate of gastrointestinal (GI) cancer. Although Hispanics/Latinos comprise 18.5% of the US population, they have participation rates of only 1% in CTs. We aimed to describe the awareness and participation of Hispanic/Latino GI cancer survivors in cancer-related CTs. We analyzed preliminary data from an ongoing cross-sectional study that examines the social determinants of health (SDOH) associated with participation in cancer-related CTs among GI cancer survivors. As of November 7, 2023, 57 individuals aged ≥ 21 years responded to a survey assessing their awareness and participation in CTs, and other SDOH domains. Descriptive statistics were used to describe the population, including frequencies, percentages, mean, and standard deviation. The participants’ mean age was 62.5 ± 12.3 years, and 56.1% were women. Most had more than a high school education (80.6%). Moreover, 59.7% of the participants had state-sponsored health insurance or Medicaid. Twenty-nine (50.9%) of the participants reported having heard about cancer-related CTs; however, only nine (31.0%) indicated that they knew how to participate in a cancer-related CT. Most of the participants had heard about cancer-related CTs from their doctor, nurse, or other health professionals (41.4%), their family/friends (20.7%), or social media/newspapers (20.7%). Furthermore, 13 (44.8%) had been invited to participate and 11 (84.6%) were eligible and participated in cancer-related CTs. Most of the participants who were eligible and participated in cancer-related CTs (90.9%) indicated that they participated because they knew CTs are important for the development of effective cancer treatments. Our preliminary findings show high levels of awareness among Hispanics/Latinos GI cancer survivors towards CTs; however, it is concerning that only a minority of those who were aware of CTs knew how to participate in them. More efforts are needed to assess the factors and SDOH that impact participation in cancer-related CTs among this population. Additionally, we will continue to recruit participants to assess the relationship between adverse SDOH and their willingness to participate in cancer-related CTs. Citation Format: Mariela Bournigal-Feliciano, Marievelisse Soto-Salgado, Hilmaris Centeno-Girona, Sofía Contreras-Fernández, Karina Torres-Mojica, Virginia Williams, Arnethea L. Sutton, Katherine Tossas, Robert Winn, Marcia Cruz-Correa. Awareness and participation in cancer-related clinical trials among gastrointestinal cancer survivors [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 2245.

Social Determinants of Health and the Link to Colorectal Cancer Outcomes.

OPINION STATEMENT: Colorectal cancer (CRC) remains the second most deadly cancer in the United States, behind only lung cancer. Despite improvements in incidence due to screening and mortality in part due to better treatments, there are some groups that have not seen these promising changes. American Indian/Alaska Native and non-Hispanic Black individuals, certain geographic regions, and lower socioeconomic groups have all been shown to have worse CRC outcomes. A significant body of evidence has linked these disparities in outcomes to social determinants of health (SDH). SDH are defined by the WHO as "the non-medical factors that influence health outcomes." These factors include but are not limited to income, education, social support, neighborhood of residence, and access to healthcare. Individuals who are negatively impacted by SDH have been shown to have a higher incidence of CRC. These individuals are also less likely to receive adequate CRC screening, are less likely to receive appropriate treatment, and have increased CRC mortality. Interventions that target different SDH domains have been shown to lead to increased rates of CRC screening and receipt of appropriate treatment while simultaneously improving CRC mortality. The aim of this review is to highlight the connection between SDH and CRC outcomes while also exploring interventions that target SDH and thereby improve CRC outcomes.