ArticleAmerican journal of preventive medicine2022
Race Versus Social Determinants of Health in COVID-19 Hospitalization Prediction.
Article in American journal of preventive medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- How well can commonly used anxiety scales detect treatment outcomes in the context of autism?Autism : the international journal of research and practice · 2025Trial
- Adding social determinants of health to the equation: Development of a cardiometabolic disease staging model using clinical and social determinants of health to predict type 2 diabetes.Diabetes, obesity & metabolism · 2025Article
- Examining Diabetes Status by the Social Determinants of Health Among Adults in Hawai'i.Hawai'i journal of health & social welfare · 2024Article
- Development of a prediction model of postpartum hospital use using an equity-focused approach.American journal of obstetrics and gynecology · 2024Article
- Deep learning in public health: Comparative predictive models for COVID-19 case forecasting.PloS one · 2024Article
- Relationship of social determinants of health with symptom severity among Veterans and non-Veterans with probable posttraumatic stress disorder or depression.Social psychiatry and psychiatric epidemiology · 2023Article
- The Association Between Social Determinants of Health and Population Health Outcomes: Ecological Analysis.JMIR public health and surveillance · 2023Article
- Vulnerable Patient Intensified Protocol to Reduce Readmission Disparities After Coronary Artery Bypass Grafting: Design, Implementation, and Lessons Learned from a Quality Initiative.Journal of healthcare management / American College of Healthcare ExecutivesArticle
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6 authors.
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Abstract
introductionIncluding race as a biological construct in risk prediction models may guide clinical decisions in ways that cause harm and widen racial disparities. This study reports on using race versus social determinants of health (SDoH) in predicting the associations between cardiometabolic disease severity (assessed using cardiometabolic disease staging) and COVID-19 hospitalization.
methodsElectronic medical record data on patients with a positive COVID-19 polymerase chain reaction test in 2020 and a previous encounter in the electronic medical record where cardiometabolic disease staging clinical data (BMI, blood glucose, blood pressure, high-density lipoprotein cholesterol, and triglycerides) were available from 2017 to 2020, were analyzed in 2021. Associations between cardiometabolic disease staging and COVID-19 hospitalization adding race and SDoH (individual and neighborhood level [e.g., Social Vulnerability Index]) in different models were examined. Area under the curve was used to assess predictive performance.
resultsA total of 2,745 patients were included (mean age of 58 years, 59% female, 47% Black). In the cardiometabolic disease staging model, area under the curve was 0.767 vs 0.777 when race was included. Adding SDoH to the cardiometabolic model improved the area under the curve to 0.809 (p<0.001), whereas the addition of SDoH and race increased the area under the curve to 0.811. In race-stratified models, the area under the curve for non-Hispanic Blacks was 0.781, whereas the model for non-Hispanic Whites performed better with an area under the curve of 0.821.
conclusionsCardiometabolic disease staging was predictive of hospitalization after a positive COVID-19 test. Adding race did not markedly increase the predictive ability; however, adding SDoH to the model improved the area under the curve to ≥0.80. Future research should include SDoH with biological variables in prediction modeling to capture social experience of race.
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