Using Electronic Health Records in Longitudinal Studies: Estimating Patient Attrition
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...
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Published in | Medical care Vol. 58 Suppl 6 Suppl 1; p. S46 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
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United States
01.06.2020
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Abstract | 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.
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.
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.
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.
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.
Attrition over the 3 years averaged 33.5%; attrition rates were lower (<25%) among patients with diabetes and/or hypertension. Among Medicaid enrollees, the percentage of provider change after a 6-month gap between visits was 12% for community health center patients compared with 39% for single-provider practice patients. Over 3 years, the likelihood of a patient changing to a new provider increased with length of time since their last visit but remained lowest among community health center patients.
This study demonstrates the use of the EHR dataset is a reliable source of data to support longitudinal studies while highlighting variability in attrition by primary care source and chronic conditions. |
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AbstractList | 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.
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.
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.
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.
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.
Attrition over the 3 years averaged 33.5%; attrition rates were lower (<25%) among patients with diabetes and/or hypertension. Among Medicaid enrollees, the percentage of provider change after a 6-month gap between visits was 12% for community health center patients compared with 39% for single-provider practice patients. Over 3 years, the likelihood of a patient changing to a new provider increased with length of time since their last visit but remained lowest among community health center patients.
This study demonstrates the use of the EHR dataset is a reliable source of data to support longitudinal studies while highlighting variability in attrition by primary care source and chronic conditions. |
Author | Kaufmann, Jorge O'Malley, Jean Angier, Heather DeVoe, Jennifer E Marino, Miguel Huguet, Nathalie Hoopes, Megan |
Author_xml | – sequence: 1 givenname: Nathalie surname: Huguet fullname: Huguet, Nathalie organization: Department of Family Medicine, Oregon Health and Science University – sequence: 2 givenname: Jorge surname: Kaufmann fullname: Kaufmann, Jorge organization: Department of Family Medicine, Oregon Health and Science University – sequence: 3 givenname: Jean surname: O'Malley fullname: O'Malley, Jean organization: Department of Family Medicine, Oregon Health and Science University – sequence: 4 givenname: Heather surname: Angier fullname: Angier, Heather organization: Department of Family Medicine, Oregon Health and Science University – sequence: 5 givenname: Megan surname: Hoopes fullname: Hoopes, Megan organization: OCHIN Inc – sequence: 6 givenname: Jennifer E surname: DeVoe fullname: DeVoe, Jennifer E organization: Department of Family Medicine, Oregon Health and Science University – sequence: 7 givenname: Miguel surname: Marino fullname: Marino, Miguel organization: Biostatistics Group, Oregon Health and Science University-Portland State University School of Public Health Portland, Portland, OR |
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SubjectTerms | 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 |
Title | Using Electronic Health Records in Longitudinal Studies: Estimating Patient Attrition |
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