Open AccessUsing Electronic Health Records in Longitudinal Studies
Author(s) -
Nathalie Huguet,
Jorge Kaufmann,
Jean O’Malley,
Heather Angier,
Megan Hoopes,
Jennifer E. DeVoe,
Miguel Marino
Publication year - 2020
Publication title -
medical care
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.632
H-Index - 178
eISSN - 1537-1948
pISSN - 0025-7079
DOI - 10.1097/mlr.0000000000001298
Subject(s) - medicaid , attrition , medicine , family medicine , cohort , retrospective cohort study , health care , cohort study , gerontology , longitudinal study , medline , demography , dentistry , pathology , sociology , political science , law , economics , economic growth
Electronic health records (EHRs) provide rich data on many domains not routinely available in other data, as such, they are a promising source to study changes in health outcomes using longitudinal study designs (eg, cohort studies, natural experiments, etc.). Yet, patient attrition rates in these data are unknown.