Social Determinants Of Health Factors Research Articles

Multivariate Analysis of Factors Associated with Feeding Mother's Own Milk at Discharge in Preterm Infants: A Retrospective Cohort Study.

This study aimed to develop a predictive model of feeding mother's own milk (MOM) at discharge using social determinants of health (SDOH), maternal and neonatal factors after deliveries at <33 weeks of gestational age (GA), or birth weight <1,500 g. Secondary analysis of a retrospective cohort in an inner-city hospital before (Epoch-1, 2018-2019) and after (Epoch-2, 2020-2021) implementing a donor human milk (DHM) program. Among 986 neonates, 495 were born in Epoch-1 (320 Hispanic White, 142 Non-Hispanic Black, and 33 Other) and 491 in Epoch-2 (327, 137, and 27, respectively). Feeding any MOM was less frequent in infants of non-Hispanic Black mothers than in those of Hispanic mothers (p < 0.05) but did not change with epoch (p = 0.46). Among infants who received any MOM, continued feeding MOM to the time of discharge was less frequent in infants of non-Hispanic Black mothers versus those of Hispanic mothers, 94/237 (40%) versus 339/595 (57%; p < 0.05), respectively. In multivariate analysis including SDOH and maternal variables, the odds of feeding MOM at discharge were lower with SDOH including neighborhoods with higher poverty levels, multiparity, substance use disorder, non-Hispanic Black versus Hispanic and young maternal age and increased with GA but did not change after implementing DHM. The predictive model including SDOH, maternal and early neonatal variables had good discrimination (area under the curve 0.85) and calibration and was internally validated. It showed the odds of feeding MOM at discharge were lower in infants of non-Hispanic Black mothers and with feeding DHM, higher need for respiratory support and later initiation of feeding MOM. Feeding MOM at discharge was associated with SDOH, and maternal and neonatal factors but did not change after implementing DHM. Disparity in feeding MOM at discharge was explained by less frequent initiation and shorter duration of feeding MOM but not by later initiation of feeding MOM. · In this cohort study of preterm infants, factors of feeding MOM at discharge included (1) SDOH; (2) postnatal age at initiation of feeding MOM; and (3) maternal and neonatal factors.. · Feeding MOM at the time of discharge was less frequent in infants of non-Hispanic Black mothers versus those of Hispanic mothers.. · Disparity in feeding MOM at discharge was explained by less frequent initiation and shorter duration of MOM feeding but not by later postnatal age at initiation of feeding MOM..

Addition of Social Determinants of Health to Coronary Heart Disease Risk Prediction: The Multi-Ethnic Study of Atherosclerosis.

Social determinants of health (SDoH) are associated with cardiovascular risk factors and outcomes; however, they are absent from risk prediction models. We aimed to assess if the addition of SDoH improves the predictive ability of the MESA (Multi-Ethnic Study of Atherosclerosis) Risk Score. This was a community-based prospective population cohort study that enrolled 6286 men and women, ages 45-84 years, who were free of clinical coronary heart disease (CHD) at baseline. Data from 10-year follow-up were examined for CHD events, defined as myocardial infarction, fatal CHD, resuscitated cardiac arrest, and revascularization in cases of anginal symptoms. Participants included 53% women with average age of 62 years. When adjusting for traditional cardiovascular risk factors, SDoH, and coronary artery calcium, economic strain, specifically low family income, was associated with a greater risk of CHD events (hazard ratio [HR], 1.42 [95% CI, 1.17-1.71], P value<0.001). Area under the curve of risk prediction with SDoH was 0.822, compared with 0.816 without SDoH. The calibration slope was 0.860 with SDoH and 0.878 in the original model. Significant associations were found between economic/financial SDoH and CHD risk factors and outcomes. Incorporation of SDoH into the MESA Risk Score did not improve predictive ability of the model. Our findings do not support the incorporation of SDoH into current risk prediction algorithms.

Comparing COVID-19 vaccination coverage, adverse reactions and impact of social determinants of health on vaccine hesitancy in ADRD/MCI and non-ADRD/MCI population: protocol for a retrospective cross-sectional study.

COVID-19 vaccination is crucial for vulnerable people with underlying chronic conditions such as Alzheimer's disease and related dementias (ADRD) and mild cognitive impairment (MCI). These individuals face unique challenges, including higher risk of COVID-19, difficulties in adopting preventive behaviours and vaccine hesitancy due to concerns about adverse reactions. Therefore, efforts to promote vaccination, including boosters tailored to the currently circulating virus, are essential for people with ADRD/MCI. The primary purpose of this study protocol is to conduct a comprehensive analysis of COVID-19 vaccination coverage and adverse reactions among individuals with ADRD/MCI in comparison to those without ADRD/MCI. Additionally, the proposed study aims to investigate the impact of social determinants of health on COVID-19 vaccination and vaccine hesitancy in individuals with ADRD/MCI. A retrospective cross-sectional study will be conducted utilising data from the All of Us (AoU) Researcher Workbench. Relevant data fields are extracted from sources including demographic information, COVID-19 Vaccine Survey, Basic Survey, Health Access & Utilization, Social Determinants of Health, and Electronic Health Record (EHR) data. Data on vaccination, adverse reactions and vaccine hesitancy will be collected through COVID-19 vaccine survey questionnaires. Propensity score matching and binary logistic regression will be applied to assess the vaccination rates and vaccine hesitancy, while controlling for demographic characteristics and social determinants of health factors. This study protocol received approval from the Institutional Review Board at Florida State University (STUDY00004571). Results will be disseminated through publication in peer-reviewed journals and presented at scientific conferences.

Social Determinants of Health and Health-Related Quality of Life following Pediatric Septic Shock: Secondary Analysis of the Life After Pediatric Sepsis Evaluation Dataset, 2014-2017.

Social determinants of health (SDOH) are associated with disparities in disease severity and in-hospital outcomes among critically ill children. It is unknown whether SDOH are associated with later outcomes. We evaluated associations between SDOH measures and mortality, new functional morbidity, and health-related quality of life (HRQL) decline among children surviving septic shock. Secondary analysis of the Life After Pediatric Sepsis Evaluation (LAPSE) prospective cohort study was conducted between 2014 and 2017. Twelve academic U.S. PICUs were involved in the study. Children younger than 18 years with community-acquired septic shock were involved in the study. None. We assessed associations between race, ethnicity, income, education, marital status, insurance, language, and home U.S. postal code with day 28 mortality, new functional morbidity at discharge per day 28, and HRQL decline using logistic regression. Of 389 patients, 32% (n = 98) of families had household income less than $50,000 per year. Median Pediatric Risk of Mortality (PRISM) score was 11 (interquartile range 6, 17). We found that English language and Area Deprivation Index less than 50th percentile were associated with higher PRISM scores. Mortality was 6.7% (n = 26), new functional morbidity occurred in 21.8% (n = 78) of patients, and HRQL decline by greater than 10% occurred in 31.0% of patients (n = 63). We failed to identify any association between SDOH measures and mortality, new functional morbidity, or HRQL decline. We are unable to exclude the possibility that annual household income greater than or equal to $50,000 was associated with up to 81% lesser odds of mortality and, in survivors, more than three-fold greater odds of HRQL decline by greater than 10%. In this secondary analysis of the 2014-2017 LAPSE dataset, we failed to identify any association between SDOH measures and in-hospital or postdischarge outcomes following pediatric septic shock. This finding may be reflective of the high illness severity and single disease (sepsis) of the cohort, with contribution of clinical factors to functional and HRQL outcomes predominating over prehospital and posthospital SDOH factors.

Racial/ethnic inequities in care for patients with advanced endometrial cancer: What’s structural racism and social determinants of health got to do with it?

1602 Background: Structural racism and social determinants of health (SDOH) have been linked to inequities in cancer care and outcomes. However, little is known about the contribution of such factors to care inequities among patients with endometrial cancer, where Black women experience a nearly two-fold increased risk of death relative to their White counterparts. We examined the role of structural racism and SDOH in explaining racial/ethnic inequities in care for patients with advanced endometrial cancer (aEC). Methods: This retrospective study used the nationwide Flatiron Health electronic health record (EHR)-derived de-identified database, focusing on patients diagnosed with aEC from January 2013 to September 2023 (follow-up through December 2023). Outcomes included time-to-treatment initiation, use of immunotherapy or targeted therapy, biomarker testing, and clinical trial participation. We estimated a series of multivariable Cox proportional hazards models assessing racial/ethnic inequities in outcomes, sequentially adjusting for clinical factors (e.g., age, stage at diagnosis) followed by structural racism (residential segregation) and SDOH factors (e.g., insurance, practice setting, area-level vehicle ownership). Results: The cohort included 5,496 patients (2.2% Asian, 14.8% Black, 5.2% Latinx, 61.4% White, and 16.0% Other/Unknown). Although diagnosed with more aggressive disease (37% vs. 21% serous carcinoma), Black patients were less likely than White patients to initiate treatment during follow-up (hazard ratio [HR]=0.91 [95% CI: 0.83-0.99]), participate in a clinical trial (HR=0.56 [95% CI: 0.38-0.84]), and receive biomarker testing (HR=0.88 [95% CI: 0.81-0.97]). Compared with their White counterparts, Latinx patients were less likely to participate in a clinical trial (HR=0.41 [95% CI: 0.19-0.87]). Black-White (HR=0.80 [95% CI: 0.47-1.38]) and Latinx-White (HR=0.71 [95% CI: 0.31-1.60]) inequities in clinical trial participation were partly explained by structural racism and SDOH factors, while Black-White inequities in treatment and biomarker testing remained largely unchanged following structural and social determinants adjustment. We saw no racial/ethnic differences in use of immunotherapy or targeted therapy. Conclusions: We observed racial/ethnic inequities in treatment initiation, biomarker testing, and clinical trial participation among patients with aEC, with structural racism and SDOH substantially accounting for inequities in trial participation. Thus, findings from this study suggest that efforts aimed at improving diversity in endometrial cancer trials, and overall equity in endometrial cancer outcomes, should prioritize mitigating the structural and social barriers to clinical trial participation.

Census tract–level social determinants of health and variability in stage at diagnosis of bladder, breast, and non-small cell lung cancers.

11170 Background: Social determinants of health (SDOH) can identify underserved populations, inform the patient journey, and identify opportunities to improve outcomes. In cancer, SDOH may influence stage at diagnosis through exposure to risk factors for aggressive cancer and decreased access to care. However, privacy restrictions can limit research with SDOH in real world datasets, which often only know a patient’s broad location. Methods: Geocoding was undertaken on addresses of patients diagnosed between 1/1/17 and 9/30/22 with bladder (n=6078), breast (n=28,958), and non-small cell lung cancer (NSCLC, n=14,957) in the Syapse Learning Health Network of U.S. community health systems. Location was linked to five indicators of SDOH at the census tract level: the Social Vulnerability Index (SVI); percent (%) of tract spending &gt;30% of income on housing; % of tract with broadband internet; county designation as a primary care shortage area; and rural urban commuting area (RUCA). Nested multivariable ordinal logistic regression models estimated independent associations between demographic, clinical, and SDOH factors with stage at initial cancer diagnosis. The statistical significance of including SDOH variables was assessed using a likelihood ratio test (LRT) comparing the models before and after including SDOH. Results: After successful geocoding and linkage to census tracts, there were marginal differences in the distribution of the five SDOH across stages at diagnosis within the three tumor types. In multivariable models adjusted for year of diagnosis, age, sex, race, ethnicity, smoking, and primary payor, among the tested SDOH measures, county designated as primary care shortage (proportional odds ratios (OR): 1.31, 95% confidence interval (95% CI): 1.05-1.64), and non-metropolitan area (0.69, 0.50-0.94) were statistically significantly associated with stage at bladder cancer diagnosis. SVI (1.52, 1.31-1.76) was also statistically significantly associated and directly proportional with stage at breast cancer diagnosis. Among patients with NSCLC, broadband internet access (1.01, 1.00-1.01), primary care shortage (1.15, 1.03-1.27) and non-metropolitan area (0.85, 0.74-0.99) were statistically associated with stage at diagnosis. In all three tumors, LRTs found that models with SDOH were statistically significantly better at predicting stage at diagnosis than those without (p &lt;0.001). Conclusions: Using granular, census-tract geospatial resolution for geocoding of SDOH, we find that patients who live in greater vulnerability are diagnosed at later stages than those who live in areas of less vulnerability, suggesting that consideration of SDOH variables is important in assessing stage at diagnosis and identify patients with an unmet need for outreach and screening.

Associations of social determinants of health with avoidance of information, treatment receipt, and physician mistrust for women with breast cancer.

1507 Background: Social determinants of health (SDoH) are key factors contributing to breast cancer disparities but are difficult to measure. We surveyed a diverse population of women with breast cancer to identify SDoH and demographic measures associated with avoiding information, treatment receipt, and physician mistrust. Methods: During 2018-2020, we interviewed 297 women (60% White, 25% Black, 15% Hispanic) with a history of breast cancer treated at three academic institutions. We used multivariable regression to assess the associations of SDoH, demographics, and related factors (social support, discrimination in daily life and within healthcare, education, financial strain, faith, age, birth country, race and ethnicity, marital status) with three outcomes: (1) avoiding information about cancer, (2) lack of initiation of recommended treatments, and (3) physician mistrust. For each model, we included factors statistically significant (p&lt;0.05) in unadjusted analyses. Results: Overall, 79 participants (26.6%) reported avoiding information about cancer. Age &lt;40, discrimination (treated with less courtesy or as if dishonest), and financial strain (worry about medical bills, uninsured status) were all significantly associated with avoiding information (p&lt;0.05 for all). In multivariable analyses, discrimination in daily life (OR 3.37, 95% CI 1.40-8.10 for being treated as if dishonest) and age (OR 3.36 for age &lt;40 compared to &gt;60) were associated with avoiding information. Twenty-two participants (7.4%) reported not initiating at least one recommended treatment. Discrimination in daily life and in healthcare were both significantly associated with treatment receipt, as was financial strain (all p&lt;0.01). In multivariable analyses, discrimination (OR 3.51, 95% CI 1.05-11.76 for being treated as if dishonest) and worrying about medical bills (OR 3.53, 95% CI 1.40-8.93) were associated with lack of treatment initiation. Twelve participants (4.0%) reported not trusting physician’s judgements about medical care. Discrimination in daily life and in health care and insurance status were significantly associated with physician mistrust (both p&lt;0.05). Multivariable analysis found that discrimination in both daily life and in health care (OR 5.95, 95% CI 1.40-25.3 for being treated with less courtesy in daily life, and OR 12.79, 95% CI 2.49-65.6 for reporting being treated as dishonest in health care setting) were associated with mistrust. Race and ethnicity were not significantly associated with any of the outcome measures in unadjusted or adjusted analyses (all p&gt;0.05). Conclusions: SDoH measures and not race were associated with lack of engagement and trust within the health care system, with experiences of discrimination and financial strain associated with avoiding information, not initiating treatments, and physician mistrust.

Impact of social determinants of health on progression from potentially life-threatening complications to near miss events and death during pregnancy and post partum in a middle-income setting: an observational study

ObjectiveTo assess the potential associations between social determinants of health (SDH) and severe maternal outcomes (SMO), to better understand the social structural framework and the contributory, non-clinical mechanisms associated with...

Prediction of Readmission Following Sepsis Using Social Determinants of Health.

To determine the predictive value of social determinants of health (SDoH) variables on 30-day readmission following a sepsis hospitalization as compared with traditional clinical variables. Multicenter retrospective cohort study using patient-level data, including demographic, clinical, and survey data. Thirty-five hospitals across the United States from 2017 to 2021. Two hundred seventy-one thousand four hundred twenty-eight individuals in the AllofUs initiative, of which 8909 had an index sepsis hospitalization. None. Unplanned 30-day readmission to the hospital. Multinomial logistic regression models were constructed to account for survival in determination of variables associate with 30-day readmission and are presented as adjusted odds rations (aORs). Of the 8909 sepsis patients in our cohort, 21% had an unplanned hospital readmission within 30 days. Median age (interquartile range) was 54 years (41-65 yr), 4762 (53.4%) were female, and there were self-reported 1612 (18.09%) Black, 2271 (25.49%) Hispanic, and 4642 (52.1%) White individuals. In multinomial logistic regression models accounting for survival, we identified that change to nonphysician provider type due to economic reasons (aOR, 2.55 [2.35-2.74]), delay of receiving medical care due to lack of transportation (aOR, 1.68 [1.62-1.74]), and inability to afford flow-up care (aOR, 1.59 [1.52-1.66]) were strongly and independently associated with a 30-day readmission when adjusting for survival. Patients who lived in a ZIP code with a high percentage of patients in poverty and without health insurance were also more likely to be readmitted within 30 days (aOR, 1.26 [1.22-1.29] and aOR, 1.28 [1.26-1.29], respectively). Finally, we found that having a primary care provider and health insurance were associated with low odds of an unplanned 30-day readmission. In this multicenter retrospective cohort, several SDoH variables were strongly associated with unplanned 30-day readmission. Models predicting readmission following sepsis hospitalization may benefit from the addition of SDoH factors to traditional clinical variables.

Abstract PO3-03-10: Race and neoadjuvant treatment of triple negative breast cancer (TNBC) in the US community oncology setting

Abstract Background: TNBC is an aggressive subtype of breast cancer with limited targeted therapies. Black women have twice the incidence of TNBC compared to White women and within TNBC, Black women have worse outcomes than White women. Differences in both tumor biology of TNBC and social determinants of health (SDOH) play a role in observed disparities. The focus of this study is to evaluate SDOH factors associated to differences in the use of neoadjuvant chemotherapy (NC) in Black and White women in the US community oncology setting. Methods: This study was a retrospective, observational, cross-sectional design and used iKnowMed SM EHR data from the The US Oncology Network. Patients diagnosed with TNBC between 03/31/2017 and 09/30/2021 with stages II-III disease of tumor size ≥ 2cm (T2 or higher) were included. The index date was date of TNBC diagnosis and records were assessed from 6 months pre- to 6 months post-diagnosis for NC initiation. Univariable and multivariable logistic regression was conducted to evaluate impact of self-reported race on NC. Age, stage, BMI, insurance, area deprivation index (ADI), size of practice represented by physician count and geographical region, were studied in their mediating and moderating effects1 on the relationship between race and NC treatment. Results: Of the 3321 patients with TNBC identified in this study, 1969 self-reported white and 494 self-reported black (80% and 20% respectively). In multivariable regression accounting for all variables, Black race (OR = 1.57, 95% CI [ 1.02, 2.44], p=0.04), younger age, more advanced stage, obesity, non-Medicaid insurance, and West region, were all found to be positively associated with use of NC. Higher physician count was nominally associated, (p = 0.07). ADI was not found to be associated to NC. Mediator and moderator analysis for the relationship between race and NC showed that only stage and ADI variable inclusion in the model are required for the positive association between black race and NC. This is driven by a significant interaction between ADI and stage (p = 0.027) which differed for Black and White women. Mainly, for Black women ADI is positively associated to NC treatment in stage IIA, but negatively associated in all other stages (interaction term, p = 0.033). For White women, ADI is negatively associated to NC treatment in all stages. Only Black women with stage IIA tend to be treated more instead of less with NC in areas of greater deprivation (greater ADI). BMI presents nominal interactions with both race and stage, where obesity was more strongly associated with NC treatment in Black women (p = 0.088) and in stage IIA (p = 0.086). All other variables presented association to NC treatment without mediation or moderation of the race effect and without detectable differences across stages. Conclusions: Black women with stage IIA appear to be a special subgroup of TNBC patients for whom treatment with NC increases with ADI. Increased ADI generally results in less standard of care treatment; this is observed in this study for White women overall and for Black women in stages &amp;gt; IIA. Black women in areas of greater deprivation with stage IIA disease, may be perceived to be presenting with more aggressive disease and thus offered NC preferentially. This result lends support to the hypothesis that young black women present with a distinct, more aggressive subtype of TNBC in the early stages. Mediator and moderator analyses are important tools in elucidating the relationships between factors underlying racial disparities in both care and outcomes. 1. Hayes AF, Rockwood NJ. Regression-based statistical mediation and moderation analysis in clinical research: Observations, recommendations, and implementation. Behav Res Ther. 2017 Nov;98:39-57. Odds ratios for multivariable analysis –insert figure image– Race, stage and ADI –insert figure image– Race and BMI in stage IIA –insert figure image– Citation Format: Paola Raska, Joseph Dye, Nicholas J Robert, Angel Kidd, Michael Danso. Race and neoadjuvant treatment of triple negative breast cancer (TNBC) in the US community oncology setting [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO3-03-10.

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

Provider burnout due to workload is a significant concern in primary care settings. Workload for primary care providers encompasses both scheduled visit care and non-visit care interactions. These interactions are highly influenced by patients' health conditions or acuity, which can be measured by the Adjusted Clinical Group (ACG) score. However, new patients typically have minimal health information beyond social determinants of health (SDOH) to determine ACG score. This study aims to assess new patient workload by first predicting the ACG score using SDOH, age, and gender and then using this information to estimate the number of appointments (scheduled visit care) and non-visit care interactions. Two years of appointment data were collected for patients who had initial appointment requests in the first year and had the ACG score, appointment, and non-visit care counts in the subsequent year. State-of-art machine learning algorithms were employed to predict ACG scores and compared with current baseline estimation. Linear regression models were then used to predict appointments and non-visit care interactions, integrating demographic data, SDOH, and predicted ACG scores. The machine learning methods showed promising results in predicting ACG scores. Besides the decision tree, all other methods performed at least 9% better in accuracy than the baseline approach which had an accuracy of 78%. Incorporating SDOH and predicted ACG scores also significantly improved the prediction for both appointments and non-visit care interactions. The R 2 values increased by 95.2 and 93.8%, respectively. Furthermore, age, smoking tobacco, family history, gender, usage of injection birth control, and ACG were significant factors for determining appointments. SDOH factors such as tobacco usage, physical exercise, education level, and group activities were strongly correlated with non-visit care interactions. The study highlights the importance of SDOH and predicted ACG scores in predicting provider workload in primary care settings.

Incidence of Traumatic Brain Injury in a Longitudinal Cohort of Older Adults

Traumatic brain injury (TBI) occurs at the highest rate in older adulthood and increases risk for cognitive impairment and dementia. To update existing TBI surveillance data to capture nonhospital settings and to explore how social determinants of health (SDOH) are associated with TBI incidence among older adults. This nationally representative longitudinal cohort study assessed participants for 18 years, from August 2000 through December 2018, using data from the Health and Retirement Study (HRS) and linked Medicare claims dates. Analyses were completed August 9 through December 12, 2022. Participants were 65 years of age or older in the HRS with survey data linked to Medicare without a TBI prior to HRS enrollment. They were community dwelling at enrollment but were retained in HRS if they were later institutionalized. Baseline demographic, cognitive, medical, and SDOH information from HRS. Incident TBI was defined using inpatient and outpatient International Classification of Diseases, Ninth or Tenth Revision, diagnosis codes received the same day or within 1 day as the emergency department (ED) visit code and the computed tomography (CT) or magnetic resonance imaging (MRI) code, after baseline HRS interview. A cohort with TBI codes but no ED visit or CT or MRI scan was derived to capture diagnoses in nonhospital settings. Descriptive statistics and bivariate associations of TBI with demographic and SDOH characteristics used sample weights. Fine-Gray regression models estimated associations between covariates and TBI, with death as a competing risk. Imputation considering outcome and complex survey design was performed by race and ethnicity, sex, education level, and Area Deprivation Index percentiles 1, 50, and 100. Other exposure variables were fixed at their weighted means. Among 9239 eligible respondents, 5258 (57.7%) were female and 1210 (9.1%) were Black, 574 (4.7%) were Hispanic, and 7297 (84.4%) were White. Mean (SD) baseline age was 75.2 (8.0) years. During follow-up (18 years), 797 (8.9%) of respondents received an incident TBI diagnosis with an ED visit and a CT code within 1 day, 964 (10.2%) received an incident TBI diagnosis and an ED code, and 1148 (12.9%) received a TBI code with or without an ED visit and CT scan code. Compared with respondents without incident TBI, respondents with TBI were more likely to be female (absolute difference, 7.0 [95% CI, 3.3-10.8]; P < .001) and White (absolute difference, 5.1 [95% CI, 2.8-7.4]; P < .001), have normal cognition (vs cognitive impairment or dementia; absolute difference, 6.1 [95% CI, 2.8-9.3]; P = .001), higher education (absolute difference, 3.8 [95% CI, 0.9-6.7]; P < .001), and wealth (absolute difference, 6.5 [95% CI, 2.3-10.7]; P = .01), and be without baseline lung disease (absolute difference, 5.1 [95% CI, 3.0-7.2]; P < .001) or functional impairment (absolute difference, 3.3 [95% CI, 0.4-6.1]; P = .03). In adjusted multivariate models, lower education (subdistribution hazard ratio [SHR], 0.73 [95% CI, 0.57-0.94]; P = .01), Black race (SHR, 0.61 [95% CI, 0.46-0.80]; P < .001), area deprivation index national rank (SHR 1.00 [95% CI 0.99-1.00]; P = .009), and male sex (SHR, 0.73 [95% CI, 0.56-0.94]; P = .02) were associated with membership in the group without TBI. Sensitivity analyses using a broader definition of TBI yielded similar results. In this longitudinal cohort study of older adults, almost 13% experienced incident TBI during the 18-year study period. For older adults who seek care for TBI, race and ethnicity, sex, and SDOH factors may be associated with incidence of TBI, seeking medical attention for TBI in older adulthood, or both.

Impact of COVID-19 Pandemic on Social Determinants of Health Issues of Marginalized Black and Asian Communities: A Social Media Analysis Empowered by Natural Language Processing.

This study aims to understand the impact of the COVID-19 pandemic on social determinants of health (SDOH) of marginalized racial/ethnic US population groups, specifically African Americans and Asians, by leveraging natural language processing (NLP) and machine learning (ML) techniques on race-related spatiotemporal social media text data. Specifically, this study establishes the extent to which Latent Dirichlet Allocation (LDA) and Gibbs Sampling Dirichlet Multinomial Mixture (GSDMM)-based topic modeling determines social determinants of health (SDOH) categories, and how adequately custom named-entity recognition (NER) detects key SDOH factors from a race/ethnicity-related Reddit data corpus. In this study, we collected race/ethnicity-specific data from 5 location subreddits including New York City, NY; Los Angeles, CA; Chicago, IL; Philadelphia, PA; and Houston, TX from March to December 2019 (before COVID-19 pandemic) and from March to December 2020 (during COVID-19 pandemic). Next, we applied methods from natural language processing and machine learning to analyze SDOH issues from extracted Reddit comments and conversation threads using feature engineering, topic modeling, and custom named-entity recognition (NER). Topic modeling identified 35 SDOH-related topics. The SDOH-based custom NER analyses revealed that the COVID-19 pandemic significantly impacted SDOH issues of marginalized Black and Asian communities. On average, the Social and Community Context (SCC) category of SDOH had the highest percent increase (366%) from the pre-pandemic period to the pandemic period across all locations and population groups. Some of the detected SCC issues were racism, protests, arrests, immigration, police brutality, hate crime, white supremacy, and discrimination. Reddit social media platform can be an alternative source to assess the SDOH issues of marginalized Black and Asian communities during the COVID-19 pandemic. By employing NLP/ML techniques such as LDA/GSDMM-based topic modeling and custom NER on a race/ethnicity-specific Reddit corpus, we uncovered various SDOH issues affecting marginalized Black and Asian communities that were significantly worsened during the COVID-19 pandemic. As a result of conducting this research, we recommend that researchers, healthcare providers, and governments utilize social media and collaboratively formulate responses and policies that will address SDOH issues during public health crises.

Social determinants of health Z-code documentation practices in mental health settings: a scoping review.

Mental health remains an urgent global priority, alongside efforts to address underlying social determinants of health (SDoH) that contribute to the onset or exacerbate mental illness. SDoH factors can be captured in the form of International Classification of Disease, Tenth Revision, Clinical Modification (ICD-10-CM), SDoH Z codes. In this scoping review, we describe current SDoH Z-code documentation practices, with a focus on mental health care contexts. Among 2 743 061 374 health care encounters noted across 12 studies in the United States, SDoH Z-code documentation rates ranged from 0.5% to 2.4%. Documentation often involved patients under 64 years of age who are publicly insured and experience comorbidities, including depression, bipolar disorder and schizophrenia, chronic pulmonary disease, and substance abuse disorders. Documentation varied across hospital types, number of beds per facility, patient race/ethnicity, and geographic region. Variation was observed regarding patient sex/gender, although SDoH Z codes were more frequently documented for males. Documentation was most observed in government, nonfederal, and private not-for-profit hospitals. From these insights, we offer policy and practice recommendations, as well as considerations for patient data privacy, security, and confidentiality, to incentivize more routine documentation of Z codes to better assist patients with complex mental health care needs.

Social Determinants of Health Factors and Loss-To-Follow-Up in the Field of Vascular Surgery

It is estimated that 22-57% of vascular patients are lost to follow-up (LTF) which is of concern as the Society of Vascular Surgery recommends annual patient follow-up. The purpose of this report was to identify social determinants of health factors (SDoH) and their relationship to LTF in vascular patients. The methods employed were a systematic literature review of 29 empirical articles and a retrospective quality improvement report with 27 endovascular aortic repair (EVAR) and thoracic endovascular aortic repair (TEVAR) patients at the University of Chicago. The systematic literature review resulted in 2,931 articles which were reduced to 29 articles meeting the inclusion criteria. Demographic variables were more frequently cited than SDoH factors, but the most common were smoking, transportation, and socioeconomic status/insurance. Additionally, 176 EVAR and TEVAR patients were called resulting in 27 patients who completed a SDoH questionnaire. Twenty-six percent indicated they had missed at least 1 appointment with the top reasons being work or family responsibilities. Due to limited patient size no statistical analyses were performed, but frequencies of responses to SDoH questions were reported to augment the existing limited literature and guide future research into variables such as one's ability to pay for basics like food or mortgage. SDoH factors are important yet understudied aspects of endovascular repairs that require more research to understand their impact on vascular surgery follow-up rates and outcomes. Additional research is needed as lack of consideration of such factors may impact the generalizability of existing research and such knowledge may help in informing clinician treatment plans.

23 AHA’s Essential Eight: Opportunities for Preventive Care among Adults with Peripheral Arterial Disease

OBJECTIVES/GOALS: The objective was to examine the American Heart Association’s (AHA) Essential Eight metrics of cardiovascular (CV) health among Black and White adults with peripheral arterial disease (PAD) collected via validated surveys and medical records. Each metric was examined in association with available social determinants of health (SDoH) factors. METHODS/STUDY POPULATION: This observational study completed data collection through surveys and medical record review. Validated surveys were used to collect Essential Eight metrics of diet, physical activity, sleep, and smoking status. Medical records were used to collect data on body mass index, blood lipids, blood glucose, and blood pressure. Participants with a diagnosis of lower extremity PAD, ability to complete surveys, and provided informed written consent were eligible. Equal numbers of Black and White participants were enrolled. Essential Eight metrics were used to calculate CV health scores for each participant. Scores were examined for association with SDoH factors and by race using Student’s T-test or ANOVA for continuous variables or Chi-Square tests for categorical variables. RESULTS/ANTICIPATED RESULTS: A total of 50 participants will be enrolled, with the expected majority being men and half self-reporting as Black individuals. Worse SDoH is expected to be associated with lower CV health metrics, including lower levels of physical activity and higher levels of saturated fatty food consumption. Higher levels of blood lipids, blood glucose, and blood pressure are expected to be associated with worse SDoH factors. We expect this association to be attenuated by rates of CV medications, such as statin therapy, antiglycemic medications, and antihypertensive medications. No effect modification by rurality is expected, although our projected sample size is small and may impact the ability to examine this interaction. DISCUSSION/SIGNIFICANCE: Black Americans, particularly in the Deep South, are at elevated risk for PAD and critical limb ischemic events, such as amputation. Understanding CV health metrics and SDoH characteristics among adults with PAD is essential to reduce disparities in care and provide valuable information for those at highest risk for complications.

203 Assessing social determinants of health and psychosocial factors critical to sustaining recovery among pregnant and parenting women with opioid use disorder

OBJECTIVES/GOALS: This study explored personal recovery support, including social determinants of health and psychosocial needs to understand factors for sustaining recovery among parenting and pregnant women with opioid use disorder. METHODS/STUDY POPULATION: This study used a mixed method quantitative/qualitative design and recruited women from residential/transitional facilities in an urban area. We used the Accountable Health Communities Health-Related Social Needs tool to assess social determinants of health factors, level of physical activity, family/community support, and mental health (stress). Through focus groups, we interviewed women to describe challenges to recovery and to resources including access to providers, housing, childcare, and food assistance from lived experiences. RESULTS/ANTICIPATED RESULTS: Survey analysis showed social determinants of health factors such as food and transportation were partially mitigated by residential living; however, parenting and pregnant women with opioid use disorder remained concerned about housing and finances; and encountered low levels of physical activity and significant stress. Preliminary results from the focus groups revealed a theme of positive recovery and retention experiences from residential living. DISCUSSION/SIGNIFICANCE: Evidence from studies suggests focused interventions for recovering women to reduce relapse risk factors and adverse maternal outcomes. Opportunities for improving personal recovery capital are accessible in residential facilities, however, further exploration of unmet social determinants of health factors are needed for recovery retention.

Social determinants of health and COVID-19 recovery after inpatient rehabilitation.

Neighborhoods with more social determinants of health (SDOH) risk factors have higher rates of infectivity, morbidity, and mortality from COVID-19. Patients with severe COVID-19 infection can have long-term functional deficits leading to lower quality of life (QoL) and independence measures. Research shows that these patients benefit greatly from inpatient rehabilitation facilities (IRF) admission, but there remains a lack of studies investigating long-term benefits of rehabilitation once patients are returned to their home environment. To determine SDOH factors related to long-term independence and QoL of COVID-19 patients after IRF stay. Multisite cross-sectional survey. Two urban IRFs. Primary outcome measures were Post-COVID Functional Status Scale (PCFS) and Short Form-36 (SF-36) scores. Secondary outcomes were quality indicator (QI) scores while at IRF and a health care access questionnaire. Results were analyzed using analysis of variance and multivariate logistic regression analyses. Participants (n = 48) who were greater than 1 year post-IRF stay for severe COVID-19 were enrolled in the study. Higher SF-36 scores were associated with male gender (p = .002), higher income (≥$70,000, p = .004), and living in the city (p = .046). Similarly, patients who were of the male gender (p = .004) and had higher income (≥$70,000, p = .04) had a greater odds of a 0 or 1 on the PCFS. Age was not associated with differences. Women were more likely to seek follow-up care (p = .014). Those who sought follow-up care reported lower SF-36 overall and emotional wellness scores, p = .041 and p = .007, respectively. Commonly reported barriers to health care access were financial and time constraints. Patients with SDOH risk factors need to be supported in the outpatient setting to maintain functional gains made during IRF stays. Female gender, income, and urban setting are potential predictors for long-term QoL and independence deficits after rehabilitation for COVID-19 infection. Low emotional wellness is an indicator for patients to seek out care as far out as 1 year from their rehabilitation stay.

Abstract P386: Associations of Gut Microbiome, but Not Microbial Metabolites, With Hypertension Differ by Race: Findings From the Baltimore Longitudinal Study of Aging

Introduction: Social determinants of health (SDoH) are thought to drive race disparities in hypertension (HTN) and in the gut microbiome (GMB). Additionally, studies suggest that associations of GMB and microbial metabolites with HTN differ by race. Whether this effect modification persists after accounting for SDoH factors has not been investigated. Hypothesis: Race-specific associations of GMB and microbial metabolites with HTN are attenuated when accounting for SDoH factors. Methods: We selected N=100 Baltimore Longitudinal Study of Aging participants for a fecal metabolomics study. We grouped participants by self-reported race (Black or White) and HTN status (HTN: SBP/DBP ≥ 130/80 mmHg without anti-HTN medication vs. normal blood pressure: SBP/DBP &amp;lt; 120/80), with matching on age, sex, and BMI category. After removal for missing SDoH data, we had N=95 participants for analysis. Metabolon measured fecal metabolites using their global, untargeted panel. Diversigen measured fecal GMB features (diversity, composition, and functional potential) using shotgun metagenomic sequencing. We tested univariable and multivariable associations of GMB alpha diversity and microbial metabolites with HTN using logistic regression, GMB beta diversity with HTN using PERMANOVA, and microbial species and functional potential with HTN using ANCOM-BC and MaAsLin2 methods, respectively. We analyzed associations overall and stratified by race. We adjusted for upstream (employed for pay, income meets needs, marital status, household size, educational attainment) and midstream (stress and depression scores, alternative healthy eating index, total calories, physical activity, smoking, and having private health insurance) SDoH factors. Results: HTN groups did not differ by age (66.3±11.1 years), sex (N=62/95 female), BMI (28.6±4.9 kg/m 2 ), or race (N=45/95 Black). Carnitine, a precursor for bacterial trimethylamine N-oxide (TMAO), was inversely associated with HTN (OR: 0.30; 95%CI [0.13,0.61]) and was not modified by race. Among GMB features, abundance of Roseburia intestinalis was lower among those with HTN (logfold-change [LFC]: -3.53, p=0.0132). Race modified associations of GMB evenness and Shannon diversity with hypertension, with effects generally being stronger among White participants (e.g.: Shannon Black OR [95%CI]: 0.99 [0.59,1.65]; White OR [95%CI]: 1.33 [0.87,2.86], interaction p=0.0242). Race also modified associations of bacterial species with HTN, including Roseburia intestinalis, which was stronger for White (LFC: -4.44) than for Black (LFC: -0.40) participants. Adjustment for SDoH factors did not attenuate effect modification of associations by race. Conclusions: In our study, which was balanced on race and HTN status (without medications), race modified associations of GMB diversity and composition with HTN, and this was not attenuated by SDoH factors.

Association between social determinants of health and pediatric traumatic brain injury outcomes.

Social determinants of health (SDH) are factors that may impact outcomes following pediatric traumatic brain injuries (TBI). The purpose of this study was to investigate the relationship between race and functional outcomes in a diverse pediatric population. We further explored how this association may be modified by SDH factors, including insurance status, social vulnerability, and child opportunity. A cohort study (N = 401) of children aged 0-18 [median = 9.22 years (IQR: 3.56-13.59)] presenting to the Emergency Department at Level I and II Trauma Centers with mild to severe head injuries. Geocoded variables were used to evaluate SDH. The sample was described overall and by racial/ethnic group, which were adjusted for confounders using inverse propensity treatment weights (IPTW). Weighted and unweighted Firth logistic regression models (mortality) and generalized linear regression models (GOS-E scores) were reported without and then with potential effect modifiers. The sample is majority male (65.84%); race/ethnicity are as follows: White (52.37%), Black/African Americans (35.91%), and Hispanic (11.72%). Black (31.25%) and Hispanic (27.66%) patients had higher rates of severe TBI. 35.89% of White patients were categorized as more socially vulnerable compared to 62.68% Black and 70.21% Hispanic patients. A total 63.64% of White patients were from higher opportunity neighborhoods, compared to 25.87% of Black and 51.06% of Hispanic patients. A total 50.95% of White patients, 25.87% of Black patients, and 17.02% of Hispanic patients were privately insured. There were no differences found between racial and ethnic groups on mortality or GOS-E scores. Patients from minority backgrounds had more severe injuries, many resulting from pedestrian vs. motor vehicle accidents. Additionally, patients from minority backgrounds experience more social vulnerability and lower opportunity. Despite these discrepancies, we did not observe differences on rates of mortality or functional outcomes in either racial or ethnic groups. SDH were not found to impact outcomes. Further research is needed to determine how these complex social and environmental variables impact health outcomes.