Because of limitations in the availability of data on primary care encounters, patient retention in human immunodeficiency virus (HIV) care is often estimated using laboratory measurement dates as proxies for clinical encounters, leading to possible outcome misclassification. This study included 83,041 HIV-infected adults from 14 clinical cohorts in the North American AIDS Cohort Collaboration on Research and Design (NA-ACCORD) who had ≥1 HIV primary care encounters during 2000-2010, contributing 468,816 person-years of follow-up. Encounter-based retention (R EB ) was defined as ≥2 encounters in a calendar year, ≥90 days apart. Laboratory-based retention (R LB ) was defined similarly, using the dates of CD4-positive cell counts or HIV-1 RNA measurements. Percentage of agreement and the κ statistic were used to characterize agreement between R LB and R EB . Logistic regression with generalized estimating equations and stabilized inverse-probability-of-selection weights was used to elucidate temporal trends and the discriminatory power of R LB as a predictor of R EB , accounting for age, sex, race/ethnicity, primary HIV risk factor, and cohort site as potential confounders. Both R EB and R LB increased from 2000 to 2010 (from 67% to 78% and from 65% to 77%, respectively), though R EB was higher than R LB throughout (P < 0.01). R LB agreed well with R EB (80%-86% agreement; κ = 0.55-0.62, P < 0.01) and had a strong, imperfect ability to discriminate between persons retained and not retained in care by R EB (C statistic: C = 0.81, P < 0.05). As a proxy for R EB , R LB had a sensitivity and specificity of 84% and 77%, respectively, with misclassification error of 18%. clinical encounters; clinical retention; HIV; laboratory measurements; measurement error; misclassification; proxies Abbreviations: AIDS, acquired immunodeficiency syndrome; CI, confidence interval; HIV, human immunodeficiency virus; HIV-1, HIV type 1; IDU, injection drug user; IPW, inverse-probability-of-selection weights; NA-ACCORD, North American AIDS Cohort Collaboration on Research and Design; ROC, receiver operating characteristic; ROR, ratio of odds ratios.Access to health care and its utilization for clinical monitoring in both healthy populations (for preventive care) and unhealthy populations (for treatment) are vital components of improving health outcomes. The reliable and ongoing use of clinical services by patients as part of disease management, or retention in care, is one such indicator of health-care utilization. Epidemiologic tools have long been recognized as being both available and useful for evaluation of evidence and formulation of policies for health services (1). With healthcare reform (e.g., the Affordable Care Act) removing barriers to linkage to care in the United States, an understanding of how people seek health care and are retained in care is likely to become increasingly valuable (2, 3). These questions speak to identifying disparities in our health-care system and may have a large impact on patient outcomes.The study of...