scholarly journals Understanding Health Exposures and Vulnerabilities of Women Workers and their Work Changes

2018 ◽  
Vol 7 (1) ◽  
pp. 97-106
Author(s):  
Sukanya Mohanty
Keyword(s):  
Health Care ◽  
Women Workers ◽  
Women’S Health ◽  
Social Determinants Of Health ◽  
Women's Health ◽  
Family Support ◽  
Social Determinants ◽  
Determinants Of Health ◽  
Individual Level ◽  
The Individual

Abstract The paper looks at employment shifts of women construction and domestic workers and explores whether social and economic factors as well as processes are adequate in explaining and understanding the reason of health for work changes. It uses the gender model of social determinants of health to explore how women workers differed on the basis of exposures. This paper uses the case studies data of 33 respondents who were purposively selected on the basis of reasons cited for work change from a larger survey sample. The study was conducted in slums of Cuttack city, in Odisha state of India from June 2014 to February 2015.It was found that women’s health exposures were psychosocial and physical in form, wherein both affected each other. Exposures occurred on a daily as well as episode basis. Structural and community level factors of women’s work, living and diet conditions, access of health care and family support were found crucial for her health besides the individual level wherein her predisposition and age factor mattered. Class, gender, age, family support and state support were the reasons of differential experiences of exposures to conditions and vulnerabilities that affected women’s health. Gendered social determinants of health (SDH) along with life course approach helps understand accumulation of health risks over time through the exposures and vulnerabilities as lack of time for recovery, lack of compensation during work loss and challenges of accessing health care invariably led to accumulation of health issues.

scholarly journals The Use of Penalized Regression Analysis to Identify County-Level Demographic and Socioeconomic Variables Predictive of Increased COVID-19 Cumulative Case Rates in the State of Georgia

2020 ◽  
Vol 17 (21) ◽  
pp. 8036
Author(s):  
Holly L. Richmond ◽  
Joana Tome ◽  
Haresh Rochani ◽  
Isaac Chun-Hai Fung ◽  
Gulzar H. Shah ◽  
...  
Keyword(s):  
Social Determinants Of Health ◽  
Social Determinants ◽  
Penalized Regression ◽  
Determinants Of Health ◽  
County Level ◽  
Lasso Regression ◽  
Cross Sectional ◽  
Individual Level ◽  
The Social ◽  
The Individual

Systemic inequity concerning the social determinants of health has been known to affect morbidity and mortality for decades. Significant attention has focused on the individual-level demographic and co-morbid factors associated with rates and mortality of COVID-19. However, less attention has been given to the county-level social determinants of health that are the main drivers of health inequities. To identify the degree to which social determinants of health predict COVID-19 cumulative case rates at the county-level in Georgia, we performed a sequential, cross-sectional ecologic analysis using a diverse set of socioeconomic and demographic variables. Lasso regression was used to identify variables from collinear groups. Twelve variables correlated to cumulative case rates (for cases reported by 1 August 2020) with an adjusted r squared of 0.4525. As time progressed in the pandemic, correlation of demographic and socioeconomic factors to cumulative case rates increased, as did number of variables selected. Findings indicate the social determinants of health and demographic factors continue to predict case rates of COVID-19 at the county-level as the pandemic evolves. This research contributes to the growing body of evidence that health disparities continue to widen, disproportionality affecting vulnerable populations.

scholarly journals Capturing the social determinants of health at the individual level: a pilot study

2020 ◽  
Author(s):  
Kate Neadley ◽  
Gai McMichael ◽  
Toby Freeman ◽  
Kathryn Browne-Yung ◽  
Fran Baum ◽  
...  
Keyword(s):  
Pilot Study ◽  
Social Determinants Of Health ◽  
Social Determinants ◽  
Determinants Of Health ◽  
Individual Level ◽  
The Social ◽  
The Individual

scholarly journals Impact of COVID-19 on social determinants of health for adults with cystic fibrosis

2021 ◽  
Vol 15 ◽  
pp. 175346662110374
Author(s):  
Dana Albon ◽  
Heather Bruschwein ◽  
Morgan Soper ◽  
Rhonda List ◽  
Deirdre Jennings ◽  
...  
Keyword(s):  
Health Care ◽  
Cystic Fibrosis ◽  
Social Determinants Of Health ◽  
Social Determinants ◽  
Social Issues ◽  
Determinants Of Health ◽  
Care Utilization ◽  
Health Questionnaire ◽  
Improvement Project ◽  
The Impact

Introduction: Outcomes in cystic fibrosis are influenced by multiple factors, including social determinants of health. Low socioeconomic status has been shown to be associated with lung function decline, increased exacerbation rates, increased health care utilization, and decreased survival in cystic fibrosis. The COVID-19 pandemic disrupted the US economy, placing people with cystic fibrosis at risk for negative impacts due to changes in social determinants of health. Methods: To characterize the impact of COVID-19-related changes in social determinants of health in the adult cystic fibrosis population, a social determinants of health questionnaire was designed and distributed to patients as part of a quality improvement project. Results: Of 132 patients contacted, 76 (57.6%) responses were received. Of these responses, 22 (28.9%) answered yes to at least one question that indicated an undesired change in social determinants of health. Patients with stable employment prior to COVID-19 were more likely to endorse undesired change in all domains of the questionnaire, and the undesired changes were most likely to be related to employment, insurance security, and access to medications. Patients receiving disability were more likely to report hardship related to utilities and food security compared with patients previously employed or unemployed. Of patients endorsing risk of socioeconomic hardship, 21 (95.5%) were contacted by a social worker and provided resources. Conclusion: Utilizing a social determinants of health questionnaire to screen for social instability in the context of COVID-19 is feasible and beneficial for patients with cystic fibrosis. Identifying social issues early during the pandemic and implementing processes to provide resources may help patients with cystic fibrosis mitigate social hardship and maintain access to health care and medications.

scholarly journals Individual and Community Social Determinants of Health Associated With Diabetes Management in a Mexican American Population

2021 ◽  
Vol 8 ◽  
Author(s):  
Kehe Zhang ◽  
Belinda Reininger ◽  
Miryoung Lee ◽  
Qian Xiao ◽  
Cici Bauer
Keyword(s):  
Social Determinants Of Health ◽  
Social Determinants ◽  
Mexican American ◽  
Diabetes Management ◽  
Spatial Models ◽  
Neighborhood Context ◽  
Community Level ◽  
Border Region ◽  
Determinants Of Health ◽  
The Individual

Background: Diabetes is a major health burden in Mexican American populations, especially among those in the Lower Rio Grande Valley (LRGV) in the border region of Texas. Understanding the roles that social determinants of health (SDOH) play in diabetes management programs, both at the individual and community level, may inform future intervention strategies.Methods: This study performed a secondary data analysis on 1,568 individuals who participated in Salud y Vida (SyV), a local diabetes and chronic disease management program, between October 2013 and September 2018 recruited from a local clinic. The primary outcome was the reduction of hemoglobin A1C (HbA1C) at the last follow-up visit compared to the baseline. In addition to age, gender, insurance status, education level and marital status, we also investigated 15 community (census tract) SDOH using the American Community Survey. Because of the high correlation in the community SDOH, we developed the community-level indices representing different domains. Using Bayesian multilevel spatial models that account for the geographic dependency, we were able to simultaneously investigate the individual- and community-level SDOH that may impact HbA1C reduction.Results: After accounting for the diabetes self-management education classes taken by the participants and their length of stay in the program, we found that older age at baseline, being married (compared to being widowed or divorced) and English speaking (compared to Spanish) were significantly associated with greater HbA1C reduction. Moreover, we found that the community level SDOH were also highly associated with HbA1C reduction. With every percentile rank decrease in the socioeconomic advantage index, we estimated an additional 0.018% reduction in HbA1C [95% CI (−0.028, −0.007)]. Besides the socioeconomic advantage index, urban core opportunity and immigrant's cohesion and accessibility indices were also statistically associated with HbA1C reduction.Conclusion: To our knowledge, our study is the first to utilize Bayesian multilevel spatial models and simultaneously investigate both individual- and community-level SDOH in the context of diabetes management. Our findings suggest that community SDOH play an important role in diabetes control and management, and the need to consider community and neighborhood context in future interventions programs to maximize their overall effectiveness.

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.

scholarly journals Addressing Social Needs in Health Care Settings: Evidence, Challenges, and Opportunities for Public Health

2020 ◽  
Vol 42 (1) ◽  
Author(s):  
Matthew W. Kreuter ◽  
Tess Thompson ◽  
Amy McQueen ◽  
Rachel Garg
Keyword(s):  
Public Health ◽  
Health Care ◽  
Social Determinants Of Health ◽  
Social Services ◽  
Social Determinants ◽  
Safety Net ◽  
Social Needs ◽  
Determinants Of Health ◽  
Health Improvement ◽  
Health Care Settings

There has been an explosion of interest in addressing social needs in health care settings. Some efforts, such as screening patients for social needs and connecting them to needed social services, are already in widespread practice. These and other major investments from the health care sector hint at the potential for new multisector collaborations to address social determinants of health and individual social needs. This article discusses the rapidly growing body of research describing the links between social needs and health and the impact of social needs interventions on health improvement, utilization, and costs. We also identify gaps in the knowledge base and implementation challenges to be overcome. We conclude that complementary partnerships among the health care, public health, and social services sectors can build on current momentum to strengthen social safety net policies, modernize social services, and reshape resource allocation to address social determinants of health. Expected final online publication date for the Annual Review of Public Health, Volume 42 is April 2021. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

scholarly journals Emancipatory practices of nurses in primary health care: the home visit as an instrument of health needs assessment

2014 ◽  
Vol 48 (spe) ◽  
pp. 119-125 ◽  
Author(s):  
Celia Maria Sivalli Campos ◽  
Bárbara Ribeiro Buffette Silva ◽  
Deisi Cristine Forlin ◽  
Carla Andréa Trapé ◽  
Iara de Oliveira Lopes
Keyword(s):  
Health Care ◽  
Primary Health Care ◽  
Social Determinants Of Health ◽  
Social Determinants ◽  
Home Visit ◽  
Care Service ◽  
Health Care Service ◽  
Health Needs ◽  
Determinants Of Health ◽  
Primary Health

Objective Identify nurses’ emancipatory practices in primary care, to contribute to the improvement of health care. Method A case study type social research of qualitative nature, in which nurses of a primary health care service unit in São Paulo were interviewed. Results The home visit was identified as a nursing practice possible to be expanded in order to identify social determinants of health, triggering emancipatory practices in the service. This expansion occurred because the design of health care labour intended by the service team changed its focus from the traditional object of health services, the disease. Conclusion First, it is advocated that social policies lead projects with the purpose of improving health needs. On the other hand, the daily labour needs to provide opportunities for reflection and discussion of healthcare projects, leading workers to propose labour-processes targeted to both the social determinants of health and people’s illness.

scholarly journals The Role of Social Determinants of Health in Self-Reported Access to Health Care Among Women Undergoing Screening Mammography

2020 ◽  
Vol 29 (11) ◽  
pp. 1437-1446
Author(s):  
Louise M. Henderson ◽  
Ellen S. O'Meara ◽  
Jennifer S. Haas ◽  
Christoph I. Lee ◽  
Karla Kerlikowske ◽  
...  
Keyword(s):  
Health Care ◽  
Social Determinants Of Health ◽  
Social Determinants ◽  
Access To Health Care ◽  
Screening Mammography ◽  
Determinants Of Health ◽  
Access To Health
Sign in / Sign up

Export Citation Format

Share Document