Addressing Information Biases Within Electronic Health Record Data to Improve the Examination of Epidemiologic Associations With Diabetes Prevalence Among Young Adults: Cross-Sectional Study

Conderino, S., Anthopolos, R., Albrecht, S. S., Farley, S. M., Divers, J., Titus, A. R., & Thorpe, L. E. (2024). Addressing Information Biases Within Electronic Health Record Data to Improve the Examination of Epidemiologic Associations With Diabetes Prevalence Among Young Adults: Cross-Sectional Study. JMIR Medical Informatics, 12, e58085–e58085. https://doi.org/10.2196/58085
Authors:
Sarah Conderino
Rebecca Anthopolos
Sandra S Albrecht
Shannon M Farley
Jasmin Divers
Andrea R Titus
Lorna E Thorpe
Affiliated Authors:
Sandra S Albrecht
Columbia Affiliation:
Subjects:
Electronic Health Records (MeSH)
Diabetes Mellitus (MeSH)
Author Keywords:
information bias
electronic health record
ehr
epidemiologic method
confounding factor
diabetes
epidemiology
young adult
cross-sectional study
risk factor
asthma
race
ethnicity
diabetic
diabetic adult
elink
Publication Type:
Article
Unique ID:
10.2196/58085
PMID:
39353204
DOI:
10.2196/58085
Journal:
JMIR Medical Informatics
Publication Date:
Data Source:
PubMed
Source Link:
View PubMed Record
View Web of Science Record

Record Created: