scholarly journals The Impact of Social Determinants of Health on Lung Cancer Screening Utilization

2022 ◽  
Vol 19 (1) ◽  
pp. 122-130
Author(s):  
Donghoon Shin ◽  
Michael D.C. Fishman ◽  
Michael Ngo ◽  
Jeffrey Wang ◽  
Christina A. LeBedis
Keyword(s):  
Lung Cancer ◽  
Cancer Screening ◽  
Social Determinants Of Health ◽  
Social Determinants ◽  
Lung Cancer Screening ◽  
Determinants Of Health ◽  
The Impact

Assessing baccalaureate nursing students’ knowledge and attitudes of social determinants of health after a health equity simulation

2020 ◽  
Vol 17 (1) ◽  
Author(s):  
Quyen Phan ◽  
Naomi Johnson ◽  
JoAnna Hillman ◽  
Daniel Geller ◽  
Laura P. Kimble ◽  
...  
Keyword(s):  
Nursing Students ◽  
Social Determinants Of Health ◽  
Health Equity ◽  
Social Determinants ◽  
Baccalaureate Nursing ◽  
Baccalaureate Nursing Students ◽  
Determinants Of Health ◽  
Marginalized Populations ◽  
Knowledge And Attitudes ◽  
The Impact

AbstractObjectiveFor nursing students, competency in population health management involves acquiring knowledge and forming attitudes about the impact of the social determinants of health (SDoH) on health equity. The purpose of this pilot study was to assess nursing students’ knowledge and attitudes about the SDoH and health equity following a focused simulation activity.MethodBaccalaureate nursing students (N=182) participated in a ninety-minute health equity simulation and a post-simulation debrief. Forty-four students (23%) completed a 19-item post-simulation survey.ResultsSixty-four percent of participants reported positive attitude change in working with marginalized populations caused by the SDoH, and 89% reported being knowledgeable about the role of the registered nurse in addressing health equity. Seventy-five percent reported enhanced knowledge of the SDoH through the health equity simulation.ConclusionUsing health equity simulation may be effective in enhancing students’ knowledge, as well as their attitudes in caring for the health of marginalized populations by addressing the SDoH.

scholarly journals Exploring the association of social determinants of health and clinical quality measures and performance in HRSA-funded health centres

2021 ◽  
Vol 9 (3) ◽  
pp. e000853
Author(s):  
Michael Topmiller ◽  
Jessica McCann ◽  
Jennifer Rankin ◽  
Hank Hoang ◽  
Joshua Bolton ◽  
...  
Keyword(s):  
Cancer Screening ◽  
Social Determinants Of Health ◽  
Social Determinants ◽  
Social Deprivation ◽  
Health Centre ◽  
Quality Measures ◽  
Service Area ◽  
Determinants Of Health ◽  
Clinical Quality ◽  
Health Centres

ObjectiveThis paper explores the impact of service area-level social deprivation on health centre clinical quality measures.DesignCross-sectional data analysis of Health Resources and Services Administration (HRSA)-funded health centres. We created a weighted service area social deprivation score for HRSA-funded health centres as a proxy measure for social determinants of health, and then explored adjusted and unadjusted clinical quality measures by weighted service area Social Deprivation Index quartiles for health centres.SettingsHRSA-funded health centres in the USA.ParticipantsOur analysis included a subset of 1161 HRSA-funded health centres serving more than 22 million mostly low-income patients across the country.ResultsHigher levels of social deprivation are associated with statistically significant poorer outcomes for all clinical quality outcome measures (both unadjusted and adjusted), including rates of blood pressure control, uncontrolled diabetes and low birth weight. The adjusted and unadjusted results are mixed for clinical quality process measures as higher levels of social deprivation are associated with better quality for some measures including cervical cancer screening and child immunisation status but worse quality for other such as colorectal cancer screening and early entry into prenatal care.ConclusionsThis research highlights the importance of incorporating community characteristics when evaluating clinical outcomes. We also present an innovative method for capturing health centre service area-level social deprivation and exploring its relationship to health centre clinical quality measures.

Limitations on Participation and Their Relation to Social Determinants of Health Among Occupational Therapists and Occupational Therapy Students During Coronavirus Lockdown

2021 ◽  
Vol 75 (6) ◽  
Author(s):  
Nuria Menéndez Álvarez ◽  
Emiliano Diez Villoria ◽  
Estíbaliz Jimenez Arberas ◽  
Ana María Castaño Pérez ◽  
Antonio León García Izquierdo
Keyword(s):  
Occupational Therapy ◽  
Social Determinants Of Health ◽  
Social Determinants ◽  
Occupational Therapists ◽  
Determinants Of Health ◽  
World Health ◽  
International Classification Of Functioning ◽  
Occupational Therapy Students ◽  
The Impact ◽  
The Relationship

Importance: For the first time in recent history, people worldwide have faced severe restrictions in occupations because of the measures adopted by governments to contain the coronavirus disease 2019 (COVID-19) crisis. Objective: To determine the limitations on participation of occupational therapists and occupational therapy students during “lockdown” and their impact on social determinants of health. Design: A cross-sectional, descriptive study conducted via an online survey. Participants: A total of 488 occupational therapists and occupational therapy students in North America, South America, and Europe. Outcomes and Measures: A questionnaire consisting of the World Health Organization Disability Assessment Schedule 2.0 of the International Classification of Functioning, Disability and Health and items developed to assess the impact of lockdown on daily life was emailed to occupational therapy professional associations, organizations, and universities between April and June 2020. It was available in English, Spanish, and Portuguese and met all the parameters listed in the Declaration of Helsinki. Results: The roles and routines of people across the developed world have been affected by lockdown measures. The study shows marked differences between participants in the domains of getting along and life activities, as well as influence on the environment. Moreover, South American participants experienced these difficulties to a greater extent than European participants. Conclusions and Relevance: This study quantifies the limitations in the participation of occupational therapists and occupational therapy students and the relationship of occupation to social determinants of health. What This Article Adds: The results of this research corroborate the relationship between health and occupation and highlight elements, such as the environment and context, that are important in occupational therapy. Therapists’ ability to analyze occupation in relation to contextual and cultural factors will benefit clients.

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 Influence of social determinants of health and county vaccination rates on machine learning models to predict COVID-19 case growth in Tennessee

2021 ◽  
Vol 28 (1) ◽  
pp. e100439
Author(s):  
Lukasz S Wylezinski ◽  
Coleman R Harris ◽  
Cody N Heiser ◽  
Jamieson D Gray ◽  
Charles F Spurlock
Keyword(s):  
Machine Learning ◽  
Risk Factors ◽  
Social Determinants Of Health ◽  
Social Determinants ◽  
Determinants Of Health ◽  
Learning Models ◽  
Vaccination Rates ◽  
Data Framework ◽  
The Impact ◽  
Machine Learning Models

IntroductionThe SARS-CoV-2 (COVID-19) pandemic has exposed health disparities throughout the USA, particularly among racial and ethnic minorities. As a result, there is a need for data-driven approaches to pinpoint the unique constellation of clinical and social determinants of health (SDOH) risk factors that give rise to poor patient outcomes following infection in US communities.MethodsWe combined county-level COVID-19 testing data, COVID-19 vaccination rates and SDOH information in Tennessee. Between February and May 2021, we trained machine learning models on a semimonthly basis using these datasets to predict COVID-19 incidence in Tennessee counties. We then analyzed SDOH data features at each time point to rank the impact of each feature on model performance.ResultsOur results indicate that COVID-19 vaccination rates play a crucial role in determining future COVID-19 disease risk. Beginning in mid-March 2021, higher vaccination rates significantly correlated with lower COVID-19 case growth predictions. Further, as the relative importance of COVID-19 vaccination data features grew, demographic SDOH features such as age, race and ethnicity decreased while the impact of socioeconomic and environmental factors, including access to healthcare and transportation, increased.ConclusionIncorporating a data framework to track the evolving patterns of community-level SDOH risk factors could provide policy-makers with additional data resources to improve health equity and resilience to future public health emergencies.

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