scholarly journals P-134 Social determinants of health are risk factors for early onset colorectal cancer in Appalachia

2021 ◽  
Vol 32 ◽  
pp. S144
Author(s):  
W. Oelsner ◽  
M. Sohail ◽  
A. Shreenath ◽  
S. Kessler ◽  
G. Philips ◽  
...  
2021 ◽  
Vol 28 (1) ◽  
pp. e100439
Author(s):  
Lukasz S Wylezinski ◽  
Coleman R Harris ◽  
Cody N Heiser ◽  
Jamieson D Gray ◽  
Charles F Spurlock

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.


2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S964-S964
Author(s):  
Sih-Ting Cai ◽  
Howard Degenholtz ◽  
Hayley Germack

Abstract The study examined correlates and consequences of social determinants of health risk factors (SDoH) among dual eligible aged and disabled individuals; Pennsylvania is transitioning this population into a managed care plan with responsibility for care coordination and incentives to prevent hospitalization and nursing home placement. Medicaid and Medicare claims were used to identify people with SDoH based on ICD-10 codes in 2016 in four domains: economic insecurity, life stressors, physical dependence, and potential health hazards. Of 281,918 people, 38.6% had one or more SDoH. Among people with severe mental illnesses (SMI; schizophrenia, psychosis, major depressive disorder, or bipolar disorder), the prevalence of SDoH was 57.9%. Of people with one or more SDoH, 42% visited the ED, compared to only 32% of people with no SDoH. Economic insecurity (OR 1.68; CI 1.59-1.78), life stressors (OR 1.39; CI 1.29-1.48), physical dependence, (OR 2.01; CI 1.97-2.06), and potential health hazards (OR 1.52; CI 1.47-1.56) were independently associated with risk of hospitalization, controlling for age, gender, race, SMI, chronic conditions and disability. The introduction of diagnosis codes for SDoH under ICD-10 has facilitated identifying individuals with deficits that might increase health care use above and beyond their underlying health status. Although the prevalence of these risk factors as captured in diagnosis data is likely an underestimate, the strong association with subsequent ED use and hospitalization lends credence to these indicators. Medicare and Medicaid claims data can be used to identify people with SDoH and target interventions to prevent downstream health services use.


2019 ◽  
Vol 156 (6) ◽  
pp. S-207-S-208
Author(s):  
Eric Low ◽  
Joshua Demb ◽  
Lin Liu ◽  
Ashley Earles ◽  
Ranier Bustamante ◽  
...  

2018 ◽  
Vol 154 (6) ◽  
pp. S-568-S-569
Author(s):  
Valerie Gausman ◽  
David Dornblaser ◽  
Sanya Anand ◽  
Kelli O'Connell ◽  
Mengmeng Du ◽  
...  

2020 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Milena Di Leo ◽  
Raffaella A. Zuppardo ◽  
Marta Puzzono ◽  
Ilaria Ditonno ◽  
Alessandro Mannucci ◽  
...  

2020 ◽  
Vol 18 (12) ◽  
pp. 2752-2759.e2 ◽  
Author(s):  
Valerie Gausman ◽  
David Dornblaser ◽  
Sanya Anand ◽  
Richard B. Hayes ◽  
Kelli O'Connell ◽  
...  

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