IU Indianapolis ScholarWorks :: Browsing by Subject "Social determinants of health"

Browsing by Subject "Social determinants of health"

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Analyzing Chlamydia and Gonorrhea Health Disparities from Health Information Systems: A Closer Examination Using Spatial Statistics and Geographical Information Systems
(2022-05) Lai, Patrick T. S.; Jones, Josette; Dixon, Brian E.; Wilson, Jeffrey; Wu, Huanmei; Shih, Patrick
The emergence and development of electronic health records have contributed to an abundance of patient data that can greatly be used and analyzed to promote health outcomes and even eliminate health disparities. However, challenges exist in the data received with factors such as data inconsistencies, accuracy issues, and unstructured formatting being evident. Furthermore, the current electronic health records and clinical information systems that are present do not contain the social determinants of health that may enhance our understanding of the characteristics and mechanisms of disease risk and transmission as well as health disparities research. Linkage to external population health databases to incorporate these social determinants of health is often necessary. This study provides an opportunity to identify and analyze health disparities using geographical information systems on two important sexually transmitted diseases in chlamydia and gonorrhea using Marion County, Indiana as the geographical location of interest. Population health data from the Social Assets and Vulnerabilities Indicators community information system and electronic health record data from the Indiana Network for Patient Care will be merged to measure the distribution and variability of greatest chlamydia and gonorrhea risk and to determine where the greatest areas of health disparities exist. A series of both statistical and spatial statistical methods such as a longitudinal measurement of health disparity through the Gini index, a hot-spot and cluster analysis, and a geographically weighted regression will be conducted in this study. The outcome and broader impact of this research will contribute to enhanced surveillance and increased effective strategies in identifying the level of health disparities for sexually transmitted diseases in vulnerable localities and high-risk communities. Additionally, the findings from this study will lead to improved standardization and accuracy in data collection to facilitate subsequent studies involving multiple disparate data sources. Finally, this study will likely introduce ideas for potential social determinants of health to be incorporated into electronic health records and clinical information systems.
Association between social vulnerability index and admission urgency for transcatheter aortic valve replacement
(Elsevier, 2024) Bolakale-Rufai, Ikeoluwapo Kendra; Shinnerl, Alexander; Knapp, Shannon M.; Johnson, Amber E.; Mohammed, Selma; Brewer, LaPrincess; Torabi, Asad; Addison, Daniel; Mazimba, Sula; Breathett, Khadijah; Medicine, School of Medicine
Background: Transcatheter aortic valve replacement (TAVR) are not offered equitably to vulnerable population groups. Adequate levels of insurance may narrow gaps among patients with higher social vulnerability index (SVI). Among a national population of individuals with commercial or Medicare insurance, we sought to determine whether SVI was associated with urgency of receipt of TAVR for aortic stenosis. Methods and results: Using Optum's de-identified Clinformatics Data Mart Database (CDM), we identified admissions for TAVR with aortic stenosis between January 2018 and March 2022. Admission urgency was identified by CDM claims codes. SVI was cross-referenced to patient zip codes and grouped into quintiles. Generalized linear mixed effects models were used to predict the probability of a TAVR admission being urgent based on SVI quintiles, adjusting for patient and hospital-level covariates. Results: Among 6680 admissions for TAVR [median age 80 years (interquartile range 75-85), 43.9 % female], 8.5 % (n = 567) were classified as urgent. After adjusting for patient and hospital-level variables, there were no significant differences in the odds of urgent admission for TAVR according to SVI quintiles [OR 5th (greatest social vulnerability) vs 1st quintile (least social vulnerability): 1.29 (95 % CI: 0.90-1.85)]. Conclusions: Among commercial or Medicare beneficiaries with aortic stenosis, SVI was not associated with admission urgency for TAVR. To clarify whether cardiovascular care delivery is improved across SVI with higher paying beneficiaries, future investigation should identify whether relationships between SVI and TAVR urgency vary for Medicaid beneficiaries compared to commercial beneficiaries.
Associations of the Neighborhood Built Environment with Gestational Weight Gain
(Thieme, 2023) Grobman, William A.; Crenshaw, Emma G.; Marsh, Derek J.; McNeil, Rebecca B.; Pemberton, Victoria L.; Haas, David M.; Debbink, Michelle; Mercer, Brian M.; Parry, Samuel; Reddy, Uma; Saade, George; Simhan, Hyagriv; Mukhtar, Farhana; Wing, Deborah A.; Kershaw, Kiarri N.; NICHD nuMoM2b NHLBI nuMoM2b Heart Health Study Networks; Obstetrics and Gynecology, School of Medicine
Objective: This study aimed to determine whether specific factors of the built environment related to physical activity and diet are associated with inadequate and excessive gestational weight gain (GWG). Study design: This analysis is based on data from the Nulliparous Pregnancy Outcomes Study: Monitoring Mothers-To-Be, a prospective cohort of nulliparous women who were followed from the beginning of their pregnancies through delivery. At each study visit, home addresses were recorded and geocoded. Locations were linked to several built-environment characteristics such as the census tract National Walkability Score (the 2010 Walkability Index) and the number of gyms, parks, and grocery stores within a 3-km radius of residential address. The primary outcome of GWG (calculated as the difference between prepregnancy weight and weight at delivery) was categorized as inadequate, appropriate, or excessive based on weight gained per week of gestation. Multinomial regression (generalized logit) models evaluated the relationship between each factor in the built environment and excessive or inadequate GWG. Results: Of the 8,182 women in the analytic sample, 5,819 (71.1%) had excessive GWG, 1,426 (17.4%) had appropriate GWG, and 937 (11.5%) had inadequate GWG. For the majority of variables examined, built environments more conducive to physical activity and healthful food availability were associated with a lower odds of excessive or inadequate GWG category. For example, a higher number of gyms or parks within 3 km of a participant's residential address was associated with lower odds of having excessive (gyms: adjusted odds ratio [aOR] = 0.93 [0.89-0.96], parks: 0.94 [0.90-0.98]) or inadequate GWG (gyms: 0.91 [0.86-0.96]; parks: 0.91 [0.86-0.97]). Similarly, a higher number of grocery stores was associated with lower odds of having excessive GWG (0.94 [0.91-0.97]). Conclusion: Among a diverse population of nulliparous women, multiple aspects of the built environment are associated with excessive and inadequate GWG.
Breast Cancer Patients’ Insurance Status and Residence Zip Code Correlates with Early Discontinuation of Endocrine Therapy: Analysis of ECOG-ACRIN TAILORx Trial
(Wiley, 2021) Sadigh, Gelareh; Gray, Robert J.; Sparano, Joseph A.; Yanez, Betina; Garcia, Sofia F.; Timsina, Lava R.; Sledge, George W.; Cella, David; Wagner, Lynne I.; Carlos, Ruth C.; Surgery, School of Medicine
Background: Early discontinuation is a substantial barrier to the delivery of endocrine therapies (ETs) and may influence recurrence and survival. The authors investigated the association between early discontinuation of ET and social determinants of health, including insurance coverage and the neighborhood deprivation index (NDI), which was measured on the basis of patients' zip codes, in breast cancer. Methods: In this retrospective analysis of a prospective randomized clinical trial (Trial Assigning Individualized Options for Treatment), women with hormone receptor-positive, human epidermal growth factor receptor 2-negative breast cancer who started ET within a year of study entry were included. Early discontinuation was calculated as stopping ET within 4 years of its start for reasons other than distant recurrence or death via Kaplan-Meier estimates. A Cox proportional hazards joint model was used to analyze the association between early discontinuation of ET and factors such as the study-entry insurance and NDI, with adjustments made for other variables. Results: Of the included 9475 women (mean age, 55.6 years; White race, 84%), 58.0% had private insurance, whereas 11.7% had Medicare, 5.8% had Medicaid, 3.8% were self-pay, and 19.1% were treated at international sites. The early discontinuation rate was 12.3%. Compared with those with private insurance, patients with Medicaid (hazard ratio [HR], 1.53; 95% confidence interval [CI], 1.23-1.92) and self-pay patients (HR, 1.65; 95% CI, 1.25-2.17) had higher early discontinuation. Participants with a first-quartile NDI (highest deprivation) had a higher probability of discontinuation than those with a fourth-quartile NDI (lowest deprivation; HR, 1.34; 95% CI, 1.11-1.62). Conclusions: Patients' insurance and zip code at study entry play roles in adherence to ET, with uninsured and underinsured patients having a high rate of treatment nonadherence. Early identification of patients at risk may improve adherence to therapy. Lay summary: In this retrospective analysis of 9475 women with breast cancer participating in a clinical trial (Trial Assigning Individualized Options for Treatment), Medicaid and self-pay patients (compared with those with private insurance) and those in the highest quartile of neighborhood deprivation scores (compared with those in the lowest quartile) had a higher probability of early discontinuation of endocrine therapy. These social determinants of health assume larger importance with the expected increase in unemployment rates and loss of insurance coverage in the aftermath of the coronavirus disease 2019 pandemic. Early identification of patients at risk and enrollment in insurance optimization programs may improve the persistence of therapy.
Cardiometabolic health after first pregnancy: Associations with social determinants of health. A nuMoM2b-HHS study
(Elsevier, 2022) Bello, N. A.; Moore, J.; Miller, E. C.; Tom, S. E.; Bairey Merz, C. N.; Haas, D. M.; Ferries-Rowe, E. A.; Grobman, W. A.; Greenland, P.; Khan, S. S.; Kim, J. K.; Chung, J. H.; Huynh, P. L. L.; Varagic, J.; McNeil, R. B.; Parker, C. B.; Wapner, R.; NICHD nuMoM2b; NHLBI nuMoM2b Heart Health Study Networks; Obstetrics and Gynecology, School of Medicine
Study objective: This study sought to evaluate the associations between social determinants of health (SDOH) at the time of first pregnancy and subsequent cardiometabolic health, defined as the development of metabolic syndrome. Design: nuMoM2b-HHS (Nulliparous Pregnancy Outcomes Study- Monitoring Mothers-to-Be-Heart Health Study) is an ongoing prospective cohort study. Setting: Eight academic medical centers enrolled and continue to follow participants. Participants: 4484 participants followed a mean of 3.2 years from the time of their first pregnancy. Interventions: N/a. Main outcome measure: Unadjusted and adjusted Poisson regression models with robust standard errors were used to obtain relative risks and 95% confidence intervals estimating the risk of metabolic syndrome for each baseline SDOH. In secondary analyses we examined the associations between SDOH and incident hypertension, obesity, and diabetes mellitus. Results: Metabolic syndrome developed in 13.6% of participants. Higher socioeconomic position at the time of pregnancy was associated with lower rates of metabolic syndrome [income > 200% poverty level aRR 0.55 (95% CI, 0.42-0.71), attainment of a bachelor's degree aRR 0.62 (0.46-0.84) or higher aRR 0.50 (0.35-0.71)], while being single [aRR 1.45 (95% CI, 1.18-1.77)] and having low health literacy were associated with a greater risk of metabolic syndrome [aRR 1.98 (95% CI, 1.28-3.07)]. Conclusions: Over a short interval following first pregnancy, participants accumulated high proportions of cardiovascular risk factors and metabolic syndrome, with some risk associated with SDOH. The impact of interventions addressing SDOH in pregnant people on cardiometabolic health should be tested as a means of reducing health inequities at the population level.
Creation of the American Heart Association Journals Equity, Diversity, and Inclusion Editorial Board: Next Step to Achieving 2024 Impact Goal
(American Heart Association, 2022) Lewis, Eldrin F.; Beatty, Christine; Boltze, Johannes; Breathett, Khadijah; Clair, Walter K.; de las Fuentes, Lisa; Essien, Utibe R.; Goodell, Heather; Hinson, H. E.; Kershaw, Kiarri N.; Knowles, Joshua W.; Mazimba, Sula; Mujahid, Mahasin; Okafor, Henry E.; Park, Kyung Woo; Schultz, Jonathan; Medicine, School of Medicine
Developing a brief assessment of social risks for the Veterans Health Administration Survey of Healthcare Experiences of Patients
(Wiley, 2023) Hausmann, Leslie R. M.; Cohen, Alicia J.; Eliacin, Johanne; Gurewich, Deborah A.; Lee, Richard E.; McCoy, Jennifer L.; Meterko, Mark; Michaels, Zachary; Moy, Ernest M.; Procario, Gregory T.; Russell, Lauren E.; Schaefer, James H., Jr.; Medicine, School of Medicine
Objective: To determine whether a 6- or 12-month look-back period affected rates of reported social risks in a social risk survey for use in the Veterans Health Administration and to assess associations of social risks with overall health and mental health. Study design: Cross-sectional survey of respondents randomized to 6- or 12-month look-back period. Data sources and study setting: Online survey with a convenience sample of Veterans in June and July 2021. Data collection/extraction methods: Veteran volunteers were recruited by email to complete a survey assessing social risks, including financial strain, adult caregiving, childcare, food insecurity, housing, transportation, internet access, loneliness/isolation, stress, discrimination, and legal issues. Outcomes included self-reported overall health and mental health. Chi-squared tests compared the prevalence of reported social risks between 6- and 12-month look-back periods. Spearman correlations assessed associations among social risks. Bivariate and multivariable logistic regression models estimated associations between social risks and fair/poor overall and mental health. Principal findings: Of 3418 Veterans contacted, 1063 (31.10%) responded (87.11% male; 85.61% non-Hispanic White; median age = 70, interquartile range [IQR] = 61-74). Prevalence of most reported social risks did not significantly differ by look-back period. Most social risks were weakly intercorrelated (median |r| = 0.24, IQR = 0.16-0.31). Except for legal issues, all social risks were associated with higher odds of fair/poor overall health and mental health in bivariate models. In models containing all significant social risks from bivariate models, adult caregiving and stress remained significant predictors of overall health; food insecurity, housing, loneliness/isolation, and stress remained significant for mental health. Conclusions: Six- and 12-month look-back periods yielded similar rates of reported social risks. Although most individual social risks are associated with fair/poor overall and mental health, when examined together, only adult caregiving, stress, loneliness/isolation, food, and housing remain significant.
Development of a Citizen Science platform for Indianas'a Cardiovascular Mortality Rates and Social Health Determinants
(2023-12-17) Malempati, Thejomayi; Purkayastha, Saptarshi; Hamid, Zeyana
The high cardiovascular disease (CVD) mortality burden in Indiana, which has witnessed over 82,373 CVD-attributed deaths from 2017-2021 as per vital statistics data from the Indiana Department of Health. The project explores the association between CVD mortality rates and social determinants of health including gender, education level, occupation, and lifestyle factors across 779 Zip Code Tabulation Areas (ZCTAs) in Indiana. Merging cardiovascular mortality rates from the Indiana Department of Health with socioeconomic attributes for each zip code, the study explores the complex intersections of place and society in determining health. Spatial data visualization maps geographic clusters exhibiting elevated death rates warranting priority attention. Statistical models estimate the extent of disproportionate mortality risk faced by disadvantaged groups after accounting for other factors. Overall, the project knits together conceptual underpinnings from medical geography, social epidemiology, and health informatics to put the spotlight on social determinants as pivotal upstream drivers of cardiovascular health disparities. The interactive heatmaps and dashboards will allow for citizen science and participation in understanding targeted interventions that may address root causes of challenges promoting health equity.
Enhancing Medical Students’ Understanding of Team-Based Care to Address Social Determinants of Health: A Case-Based Experience
(Society of Teachers of Family Medicine, 2024) Taylor, Jennifer D.; King, Jalysa; Medicine, School of Medicine
Background and objectives: Social and structural factors play a critical role in driving inequitable health outcomes, resulting in the need for undergraduate medical education to include important care components such as team-based care to address social determinants of health. Research shows that learning strategies such as case-based initiatives are valuable opportunities to impact knowledge of population health, health disparities, and social determinants that impact care. The purpose of this study was to assess the impact of a clinical case-based experience on medical students' self-efficacy and future intent to use the team-based care necessary to address social determinants of health. Methods: We used a retrospective analysis of program data from 640 third-year medical students who engaged in a case-based experience and small-group debriefing around the impact of team-based care and social determinants of health on patient care during their family medicine clerkship between July 2020 and April 2022. Results: We found a statistically significant improvement in students' reported self-efficacy and intent to collaborate with other health care workers (team-based care) to address patient care needs in rural and urban underserved community settings. Conclusions: Our students reported that a case-based experience coupled with a small-group debriefing was an effective method for teaching them how to use a team-based approach to address social determinants of health.
Exploring the Social Determinants of Mental Health by Race and Ethnicity in Army Wives
(Springer, 2024) Dodge, Jessica; Sullivan, Kathrine; Miech, Edward; Clomax, Adriane; Riviere, Lyndon; Castro, Carl; Emergency Medicine, School of Medicine
Objective: To explore the social determinants of mental health (SDoMH) by race/ethnicity in a sample with equal access to healthcare. Using an adaptation of the World Health Organization's SDoMH Framework, this secondary analysis examines the socio-economic factors that make up the SDoMH by race/ethnicity. Method: This paper employed configurational comparative methods (CCMs) to analyze various racial/ethnic subsets from quantitative survey data from (N = 327) active-duty Army wives. Data was collected in 2012 by Walter Reed Army Institute of Research. Results: Initial exploratory analysis revealed the highest-scoring factors for each racial/ethnic subgroup: non-Hispanic Black: employment and a history of adverse childhood events (ACEs); Hispanic: living off post and a recent childbirth; junior enlisted non-Hispanic White: high work-family conflict and ACEs; non-Hispanic other race: high work-family conflict and not having a military history. Final analysis showed four models consistently explained clinically significant depression symptoms and four models consistently explained the absence of clinical depression symptoms, providing a solution for each racial/ethnic minority group (non-Hispanic Black, Hispanic, junior enlisted non-Hispanic White, and non-Hispanic other). Discussion: These findings highlight that Army wives are not a monolithic group, despite their collective exposure to military-specific stressors. These findings also highlight the potential for applying configurational approaches to gain new insights into mental health outcomes for social science and clinical researchers.

Browsing by Subject "Social determinants of health"

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