ArticleBMC medical informatics and decision making2018
Reliability, ease of use and usefulness of I-MeDeSA for evaluating drug-drug interaction alerts in an Australian context.
Article in BMC medical informatics and decision making, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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Who cites it
7 citing papers in PubMed.
- Assessing Medication CDS Usability: Pilot Results from 10 Outpatient Clinics.Applied clinical informatics · 2025Article
- Factors Influencing Health Care Professionals' Perceptions of Frequent Drug-Drug Interaction Alerts.ACI open · 2024Article
- Replication studies in the clinical decision support literature-frequency, fidelity, and impact.Journal of the American Medical Informatics Association : JAMIA · 2021Article
- Article
- A Tool for Evaluating Medication Alerting Systems: Development and Initial Assessment.JMIR medical informatics · 2021Article
- Clinician Perceptions of Timing and Presentation of Drug-Drug Interaction Alerts.Applied clinical informatics · 2020Article
- Hospital Pharmacists' Perceptions and Decision-Making Related to Drug-Drug Interactions.The Canadian journal of hospital pharmacyArticle
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundRecently, attention has shifted to improving the design of computerized alerts via the incorporation of human factors design principles. The Instrument for Evaluating Human Factors Principles in Medication-Related Decision Support Alerts (I-MeDeSA) is a tool developed in the United States to guide improvements to alert design and facilitate selection of electronic systems with superior design. In this study, we aimed to determine the reliability, ease of use and usefulness of I-MeDeSA for assessing drug-drug interaction (DDI) alerts in an Australian context.
methodsUsing the I-MeDeSA, three reviewers independently evaluated DDI alert interfaces of seven electronic systems used in Australia. Inter-rater reliability was assessed and reviewers met to discuss difficulties in using I-MeDeSA and the tool's usefulness.
resultsInter-rater reliability was high (Krippendorff's alpha = 0.76), however, ambiguous wording and the inclusion of conditional items impacted ease of use. A number of items were not relevant to Australian implementations and as a result, most systems achieved an I-MeDeSA score of less than 50%.
conclusionsThe I-MeDeSA proved to be reliable, but item wording and structure made application difficult. Future studies should investigate potential modifications to the I-MeDeSA to improve ease of use and increase applicability to a variety of system configurations.
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