This paper is in the following e-collection/theme issue:

Secondary Use of Clinical Data for Research and Surveillance (490) Electronic Health Records (1365) Data Science (382) Personal Health Records, Patient-Accessible Electronic Health Records, Patient Portals (713) Epidemiology (208) Diabetes Surveillance and Epidemiology (41) Epidemiologic Studies and Surveys in Child Health (38)

Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/58085, first published .
Addressing Information Biases Within Electronic Health Record Data to Improve the Examination of Epidemiologic Associations With Diabetes Prevalence Among Young Adults: Cross-Sectional Study

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

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

Authors of this article:

Sarah Conderino1 Author Orcid Image ;   Rebecca Anthopolos1 Author Orcid Image ;   Sandra S Albrecht2 Author Orcid Image ;   Shannon M Farley3 Author Orcid Image ;   Jasmin Divers1, 4 Author Orcid Image ;   Andrea R Titus1 Author Orcid Image ;   Lorna E Thorpe1 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. Gurupur V, Hooshmand S, Prabhu D, Trader E, Salvi S. Incompleteness of Electronic Health Records: An Impending Process Problem Within Healthcare. Healthcare 2025;13(22):2900 View
  2. Mefford M, Zhou M, McCarthy D, Zhou H, Chang J, Harrison T, Reynolds K. Retrospective cohort study applying membership and utilisation criteria to electronic health records for diabetes incidence estimation in an integrated healthcare delivery system in Southern California. BMJ Public Health 2026;4(1):e004040 View