Using Electronic Health Records in Longitudinal Studies: Estimating Patient Attrition

• Published in: Medical care Vol. 58 Suppl 6 Suppl 1; p. S46
• Main Authors: Huguet, Nathalie, Kaufmann, Jorge, O'Malley, Jean, Angier, Heather, Hoopes, Megan, DeVoe, Jennifer E, Marino, Miguel
• Format: Journal Article
• Language: English
• Published: United States 01.06.2020
• Subjects: Adult; Diabetes Mellitus - epidemiology; Diabetes Mellitus - therapy; Electronic Health Records - statistics & numerical data; Female; Humans; Hypertension - epidemiology; Hypertension - therapy; Longitudinal Studies; Male; Medicaid - statistics & numerical data; Middle Aged; Patient Dropouts - statistics & numerical data; Primary Health Care - statistics & numerical data; Retrospective Studies; United States; Young Adult; United States

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 d...