Value of Neighborhood Socioeconomic Status in Predicting Risk of Outcomes in Studies That Use Electronic Health Record Data.

Journal: JAMA network open

PMID: 30646172

Abstract

IMPORTANCE: Data from electronic health records (EHRs) are increasingly used for risk prediction. However, EHRs do not reliably collect sociodemographic and neighborhood information, which has been shown to be associated with health. The added contribution of neighborhood socioeconomic status (nSES) in predicting health events is unknown and may help inform population-level risk reduction strategies.

Authors

Nrupen A Bhavsar

Division of General Internal Medicine, Duke University School of Medicine, Durham, North Carolina.
Aijing Gao

Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, North Carolina.
Matthew Phelan

Center for Predictive Medicine, Duke Clinical Research Institute, Durham, North Carolina.
Neha J Pagidipati

Center for Predictive Medicine, Duke Clinical Research Institute, Durham, North Carolina.
Benjamin A Goldstein

Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, North Carolina.

Keywords

Adult Aged Cohort Studies Electronic Health Records Female Health Status Disparities Humans Income Male Middle Aged North Carolina Outcome Assessment, Health Care Racial Groups Residence Characteristics Social Class Social Determinants of Health

External Resources

View on PubMed Access via DOI PubMed (30646172)

Value of Neighborhood Socioeconomic Status in Predicting Risk of Outcomes in Studies That Use Electronic Health Record Data.

Abstract

Authors

Keywords

External Resources

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