Using Electronic Health Records in Longitudinal Studies Estimating Patient Attrition
Using Electronic Health Records in Longitudinal Studies Estimating Patient Attrition
复制标题
DOI:
10.1097/mlr.0000000000001298
复制
发表时间:
2020-06-01
期刊:
影响因子:
3
通讯作者:
Marino, Miguel
中科院分区:
文献类型:
--
作者:
Huguet, Nathalie;Kaufmann, Jorge;Marino, Miguel
Background: 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. Objective: The objective of this study was to estimate overall and among adults with diabetes or hypertension: (1) patient attrition over a 3-year period at community health centers; and (2) the likelihood that patients with Medicaid permanently switched their source of primary care. Research Design: A retrospective cohort study of 2012-2017 data from the Accelerating Data Value Across a National Community Health Center Network (ADVANCE) Clinical Data Research Network of community health centers were used to assess EHR data attrition. Oregon Medicaid enrollment and claims data were used to estimate the likelihood of changing the source of primary care. Subjects: A total of 827,657 patients aged 19-64 with >= 1 ambulatory visit from 76 community health center systems across 20 states. In all, 232,891 Oregon Medicaid enrollees (aged 19-64) with a gap of >= 6 months following a claim for a visit billed to a primary care source. Measures: Percentage of patients not returning within 3 years of their qualifying visit (attrition). The probability that a patient with Medicaid permanently changed their primary care source. Results: Attrition over the 3 years averaged 33.5%; attrition rates were lower (