ArticleAnnals of family medicine2020
Development and Validation of a County-Level Social Determinants of Health Risk Assessment Tool for Cardiovascular Disease.
Article in Annals of family medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed, 25 citations in OpenAlex.
- Patient-Centered Communication in Telehealth Settings.JAMA network open · 2026Article
- A social determinants-based county-level cardiovascular mortality index to identify high-risk counties in the USA.BMC medicine · 2025Article
- Standardizing social determinants of health data: a proposal for a comprehensive screening tool to address health equity a systematic review.Health affairs scholar · 2024Article
- Complex patterns and determinants of regional multiple chronic conditions across the United States.PNAS nexus · 2024Article
- Application of Digital Informatics in Precision Prevention, Epidemiology, and Clinicogenomics Research to Advance Precision Healthcare.Yearbook of medical informatics · 2024Review
- Health-Related Social Needs in Patients With Gastroparesis: Relationships to Symptom Severity and Quality of Life.Gastro hep advances · 2024Article
- Integrating the Polysocial Risk Score: Enhancing Comprehensive Healthcare Delivery.Methodist DeBakey cardiovascular journal · 2024Review
- Polysocial Risk Scores: Implications for Cardiovascular Disease Risk Assessment and Management.Current atherosclerosis reports · 2023Review
- Uses of Social Determinants of Health Data to Address Cardiovascular Disease and Health Equity: A Scoping Review.Journal of the American Heart Association · 2023Article
- Article
- Gastroenterology Specialist Supply and Early-Onset Colorectal Cancer Incidence and Mortality in the U.S., 2014-2018.Gastro hep advances · 2023Article
- Agreement in extreme precipitation exposure assessment is modified by race and social vulnerability.Frontiers in epidemiology · 2023Article
- Utilizing community level factors to improve prediction of out of hospital cardiac arrest outcome using machine learning.Resuscitation · 2022Article
- Flooding and emergency department visits: Effect modification by the CDC/ATSDR Social Vulnerability Index.International journal of disaster risk reduction : IJDRR · 2022Article
- Comparing Global and Spatial Composite Measures of Neighborhood Socioeconomic Status Across US Counties.Journal of urban health : bulletin of the New York Academy of Medicine · 2022Article
- Article
- An Opportunity to Emphasize Equity, Social Determinants, and Prevention in Primary Care.Annals of family medicine · 2020Article
- Nationwide Geospatial Analysis to Identify Variations in Primary Cardiovascular Risk in Ethiopia.Journal of primary care & community healthArticle
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeSocial determinants of health (SDoH) have been linked to a variety of health conditions, but there are no multivariate measures of these determinants to estimate the risk of morbidity or mortality in a community. We developed a score derived from multivariate measures of SDoH that predicts county-level cardiovascular disease (CVD) mortality.
methodsUsing county-level data from 3,026 US counties, we developed a score considering variables of neighborhood socioeconomic status, food/lifestyle environment, and health care resource availability and accessibility to predict the 3-year average (2015-2017) age-adjusted county-level mortality rate for all CVD. We used one 50% random sample to develop the score and the other to validate the score. A Poisson regression model was developed to estimate parameters of variables while accounting for intrastate correlation.
resultsThe index score was based on 7 SDoH factors: percentage of the population of minority (nonwhite) race, poverty rate, percentage of the population without a high school diploma, grocery store ratio, fast-food restaurant ratio, after-tax soda price, and primary care physician supply. The area under the curve for the development and validation groups was similar, 0.851 (95% CI, 0.829-0.872) and 0.840 (95% CI, 0.817-0.863), respectively, indicating excellent discriminative ability. The index had better predictive performance for CVD burden than other area-level indexes: poverty only (area under the curve= 0.808,
conclusionsOur validated multivariate SDoH index score accurately classifies counties with high CVD burden and therefore has the potential to improve CVD risk prediction for vulnerable populations and interventions for CVD at the county level.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.