Social Determinants of Health Associated with Mental Health Among U.S. Mothers with Children Aged 0–5 Years

2020 ◽  
Vol 29 (8) ◽  
pp. 1039-1051
Author(s):  
Deborah E. Linares ◽  
Romuladus E. Azuine ◽  
Gopal K. Singh
Keyword(s):  
Mental Health ◽  
Social Determinants Of Health ◽  
Social Determinants ◽  
Determinants Of Health

600 Social Determinants and Their Impact on Burn Surgery Outcomes

2021 ◽  
Vol 42 (Supplement_1) ◽  
pp. S151-S152
Author(s):  
Luis H Quiroga ◽  
Tomer Lagziel ◽  
Mohammed Asif ◽  
Raymond Fang ◽  
Grace F Rozycki ◽  
...  
Keyword(s):  
Mental Health ◽  
Diabetes Mellitus ◽  
Social Determinants Of Health ◽  
Population Health ◽  
Social Determinants ◽  
Determinants Of Health ◽  
Hospital Charges ◽  
Burn Patients ◽  
Increased Risk ◽  
History Of

Abstract Introduction To our knowledge, no studies have been conducted assessing the social determinants of health and the impact on the outcomes for burn patients. Such studies are needed considering burn injuries are associated with high costs, severe psychological impact, and a high burden placed on the healthcare systems. The burden is hypothesized to be aggravated by the increasing amount of diabetes and obesity seen in the general population which put patients at increased risk for developing chronic wounds. Studies have shown that several socioeconomic status (SES) factors are associated with increased risk of burns, but none have documented the outcomes of burn patients based on their social determinants of health. In our study, we will be comparing patients in the burn ICU (BICU) to patients in the surgical ICU (SICU). The purpose of this comparison is to evaluate whether the same social determinants of health have similar influences in both groups. Methods We performed a retrospective analysis of population group data from patients admitted to the BICU and SICU from January 1, 2016, to November 18, 2019. The primary outcomes were length-of-stay (LOS), mortality, 30-day-readmission, and hospital charges. Pearson’s chi-square test for categorical variables and t-test for continuous variables were used to compare population health groups. Results We analyzed a total of 487 burn and 510 surgical patients. When comparing BICU and SICU patients, we observed significantly higher mean hospital charges and LOS in burn patients with a history of mental health (mean difference: $42,756.04, p=0.013 and 7.12 days, p=0.0085), ESRD ($57,8124.7, p=0.0047 and 78.62 days, p=0.0104), sepsis ($168,825.19, p=< 0.001 and 20.68 days, p=0.0043), and VTE ($63,9924.1, p=< 0.001 and 72.9 days, p=0.002). Also, higher mortality was observed in burn patients with ESRD, STEMI, sepsis, VTE, and diabetes mellitus. Burn patients with a history of mental health, drug dependence, heart failure, and diabetes mellitus also had greater 30-day-readmissions rates. Conclusions This study sheds new knowledge on the considerable variability that exists between the different population health groups in terms of outcomes for each cohort of critically ill patients. It demonstrates the impacts of population health group on outcomes. These population groups and social determinants have different effects on BICU versus SICU patients and this study provides supporting evidence for the need to identify and develop new strategies to decrease overspending in healthcare. Further research to develop relevant and timely interventions that can improve these outcomes.

scholarly journals Social determinants of health in mental health care and research: a case for greater inclusion

2019 ◽  
Vol 26 (8-9) ◽  
pp. 895-899 ◽  
Author(s):  
Joseph J Deferio ◽  
Scott Breitinger ◽  
Dhruv Khullar ◽  
Amit Sheth ◽  
Jyotishman Pathak
Keyword(s):  
Mental Health ◽  
Health Care ◽  
Mental Health Care ◽  
Social Determinants Of Health ◽  
Language Processing ◽  
Social Determinants ◽  
Ad Hoc ◽  
Extraction Methods ◽  
Determinants Of Health ◽  
Independent Risk Factors

Abstract Social determinants of health (SDOH) are known to influence mental health outcomes, which are independent risk factors for poor health status and physical illness. Currently, however, existing SDOH data collection methods are ad hoc and inadequate, and SDOH data are not systematically included in clinical research or used to inform patient care. Social contextual data are rarely captured prospectively in a structured and comprehensive manner, leaving large knowledge gaps. Extraction methods are now being developed to facilitate the collection, standardization, and integration of SDOH data into electronic health records. If successful, these efforts may have implications for health equity, such as reducing disparities in access and outcomes. Broader use of surveys, natural language processing, and machine learning methods to harness SDOH may help researchers and clinical teams reduce barriers to mental health care.

Using Community-Level Mental Health Surveillance Data to Examine the Relationship of Depression Prevalence to Social Determinants of Health and Access to Mental Health Services

2013 ◽  
Vol 32 (1) ◽  
pp. 43-57 ◽  
Author(s):  
Shawn R. Currie ◽  
Kirsten Fiest ◽  
Lindsay Guyn
Keyword(s):  
Mental Health ◽  
Mental Health Services ◽  
Health Services ◽  
Social Determinants Of Health ◽  
Social Determinants ◽  
Low Income ◽  
Community Level ◽  
Determinants Of Health ◽  
Treatment Access ◽  
Depression Prevalence

The effect of social determinants of health on depression prevalence and treatment access was examined using community survey and administrative data on mental health service users in the Calgary Health Region (CHR). Consistent with national prevalence data, depression was significantly associated with female gender, younger age, and health risk factors such as smoking, hypertension, and obesity. The prevalence of depression causing interference in daily functioning across 19 social districts (subregions within the CHR) was significantly related to community-level indicators of single-parent status, low-income families, and low educational achievement in each district. Disparities in treatment access were also found with persons living in the most impoverished districts having the lowest rates of accessing professional mental health services.

Using a Social Determinants of Health Summary Measure to Predict General Health Status in the BRFSS

2021 ◽  
pp. 089011712110449
Author(s):  
Candace C. Nelson
Keyword(s):  
Mental Health ◽  
Physical Health ◽  
Social Determinants Of Health ◽  
Social Determinants ◽  
General Health ◽  
Poor Mental Health ◽  
Determinants Of Health ◽  
Social Risk ◽  
Summary Measure ◽  
Cross Sectional

Purpose This study aims to assess the relationship between social determinants of health (SDoH) burden and overall health. Design Three years of Behavioral Risk Factor Surveillance System (BRFSS) data (2017–2019) were combined for this cross-sectional study. Setting Massachusetts. Subjects Out of a possible 21,312 respondents, 16,929 (79%) were eligible for inclusion. Measures To create the SDoH summary measure, items assessing social risk experiences including financial instability (1 item), housing instability (2 items), perceptions of neighborhood crime (1 item), and food insecurity (2 items) were summed to create a count of risk experiences. Outcome measures included self-rated general health, days of poor physical health, and days of poor mental health. Analysis Multivariable logistic regression was used to evaluate the association between each outcome and the SDoH summary measure, adjusting for demographic confounders. Results In adjusted analyses, respondents who reported experiencing 1, 2, 3, or 4+ SDoH had a 1.6 (95% CI: 1.3–2.0), 2.9 (95% CI: 2.3–3.7), 3.2 (95% CI: 2.4–4.3), or 5.3 (95% CI: 4.0–7.0) increased odds (respectively) of self-rated fair/poor health, compared to those who reported zero SDoH. The adjusted relationship between the SDoH summary measure and physical health and mental health was similar in magnitude and statistically significant. Conclusions These results demonstrate that the overall burden of risk due to SDoH is an important predictor of health.

scholarly journals Stakeholder Perspectives on the Social Determinants of Mental Health in Community Coalitions

2018 ◽  
Vol 28 (Supp) ◽  
pp. 389-396 ◽  
Author(s):  
Sheryl H. Kataoka ◽  
Roya Ijadi-Maghsoodi ◽  
Chantal Figueroa ◽  
Enrico G. Castillo ◽  
Elizabeth Bromley ◽  
...  
Keyword(s):  
Mental Health ◽  
Social Determinants Of Health ◽  
Community Violence ◽  
Social Determinants ◽  
Social Determinant ◽  
Service Planning ◽  
Determinants Of Health ◽  
Future Research ◽  
Community Coalitions ◽  
Urban City

Objective: Although evidence supports the potential for community coalitions to posi­tively address social determinants of mental health, little is known about the views of stakeholders involved in such efforts. This study sought to understand county leaders’ perspectives about social determinants related to the Health Neighborhood Initia­tive (HNI), a new county effort to support community coalitions.Design: Descriptive, qualitative study, 2014.Setting: Community coalitions, located in a large urban city, across eight service planning areas, that serve under-resourced, ethnic minority populations.Procedures: We conducted key informant interviews with 49 health care and commu­nity leaders to understand their perspectives about the HNI. As part of a larger project, this study focused on leaders’ views about social determinants of health related to the HNI. All interviews were audio-recorded and transcribed. An inductive approach to coding was used, with text segments grouped by social determinant categories.Results: County leaders described multiple social determinants of mental health that were relevant to the HNI community coalitions: housing and safety, community violence, and employment and education. Leaders discussed how social determinants were interconnected with each other and the need for efforts to address multiple social determinants simultaneously to ef­fectively improve mental health.Conclusions: Community coalitions have an opportunity to address multiple social determinants of health to meet social and mental health needs of low-resourced com­munities. Future research should examine how community coalitions, like those in the HNI, can actively engage with com­munity members to identify needs and then deliver evidence-based care.Ethn Dis. 2018;28(Suppl 2):389-396; doi:10.18865/ed.28.S2.389.

scholarly journals S919 A Comprehensive Evaluation of Social Determinants of Health in IBD: How Barriers Impact IBD Outcomes and Mental Health

2021 ◽  
Vol 116 (1) ◽  
pp. S434-S434
Author(s):  
Gabriela Kuftinec ◽  
Oriana Damas ◽  
Nidah S. Khakoo ◽  
Diana Morillo ◽  
Maria Alejandra Quintero ◽  
...  
Keyword(s):  
Mental Health ◽  
Social Determinants Of Health ◽  
Social Determinants ◽  
Comprehensive Evaluation ◽  
Determinants Of Health
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