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Electronic medical record and glaucoma medications: connecting the medication reconciliation with adherence

Authors Bacon T, Fan K, Desai M

Received 21 July 2015

Accepted for publication 7 October 2015

Published 28 January 2016 Volume 2016:10 Pages 221—225


Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 3

Editor who approved publication: Dr Scott Fraser

Thomas S Bacon, Kenneth C Fan, Manishi A Desai

Department of Ophthalmology, Boston University School of Medicine, Boston Medical Center, Boston, MA, USA

Purpose: To evaluate consistency in documentation of glaucoma medications in the electronic medical record and identify which regimen patients adhere to when inconsistencies exist. Factors contributing to medication nonadherence are also explored.
Methods: Retrospective chart review of medication adherence encompassing 200 patients from three glaucoma physicians at a tertiary referral center over a 1-month period. Adherence was determined by the consistency between a patients stated medication regimen and either the active medication list in the electronic medical record, or the physicians planned medication regimen in the preceding clinic visit. Patient charts were also reviewed for patient sex, age, primary language, race, and total number of medications.
Results: A total of 160 charts showed consistency in documentation between the physician note and electronic medication reconciliation. Of those patients, 83.1% reported adherence with their glaucoma medication schedule. When there was a discrepancy in documentation (40 charts), 72.5% patients followed the physician-stated regimen vs 20% who followed neither vs 7.5% who followed the medical record (P<0.01). No difference in adherence was observed based on sex (P=0.912) or total number of medications taken (P=0.242). ­Language, both English- (P=0.075) and Haitian (P=0.10) -speaking populations, as well as race, ­Caucasian (P=0.31), African-American (P=0.54), and Hispanic (P=0.58), had no impact on medication adherence. Patients over 80 years of age were more nonadherent as compared to other decades (P=0.04).
Conclusion: Inconsistent documentation between the electronic medical record physician note and medication regimen may contribute to patient medication nonadherence. Patients over 80 years of age were associated with higher rates of nonadherence, while sex, total number of medications, race, and language had no interaction with medication adherence.

Keywords: glaucoma, electronic medical record, medication reconciliation, demographics

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