Evaluation of multimedia medication reconciliation software: A randomized controlled, single-blind trial to measure diagnostic accuracy for discrepancy detection

Blake J. Lesselroth, Kathleen Adams, Victoria L. Church, Stephanie Tallett, Yelizaveta Russ, Jack Wiedrick, Christopher Forsberg, David A. Dorr

Research output: Contribution to journalArticle

3 Scopus citations

Abstract

Background The Veterans Affairs Portland Healthcare System developed a medication history collection software that displays prescription names and medication images. Objective This article measures the frequency of medication discrepancy reporting using the medication history collection software and compares with the frequency of reporting using a paper-based process. This article also determines the accuracy of each method by comparing both strategies to a best possible medication history. Study Design Randomized, controlled, single-blind trial. Setting Three community-based primary care clinics associated with the Veterans Affairs Portland Healthcare System: a 300-bed teaching facility and ambulatory care network serving Veteran soldiers in the Pacific Northwest United States. Participants Of 212 patients with primary care appointments, 209 patients fulfilled the study requirements. Intervention Patients randomized to a software-directed medication history or a paper-based medication history. Randomization and allocation to treatment groups were performed using a computer-based random number generator. Assignments were placed in a sealed envelope and opened after participant consent. The research coordinator did not know or have access to the treatment assignment until the time of presentation. Main Outcome Measures The primary analysis compared the discrepancy detection rates between groups with respect to the health record and a best possible medication history.

Original languageEnglish (US)
Pages (from-to)285-301
Number of pages17
JournalApplied Clinical Informatics
Volume9
Issue number2
DOIs
StatePublished - Apr 1 2018

Keywords

  • Clinical informatics
  • Clinical information systems
  • Consumer health informatics
  • Medication adherence
  • Medication errors
  • Medication reconciliation
  • Medication review
  • Quality improvement

ASJC Scopus subject areas

  • Health Informatics
  • Computer Science Applications
  • Health Information Management

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