Literature DB >> 22171864

Drug interaction alerts in software--what do general practitioners and pharmacists want?

Kitty H Yu1, Michelle Sweidan, Margaret Williamson, Amanda Fraser.   

Abstract

OBJECTIVE: To explore Australian general practitioners' and pharmacists' preferences in relation to content, format and usability of drug interaction alerts in prescribing and dispensing software. DESIGN, PARTICIPANTS AND
SETTING: Surveys that sought opinions on drug interaction decision support were mailed to a random sample of GPs and community pharmacists (1000 of each) in June 2010. MAIN OUTCOME MEASURES: Usefulness of various components of drug interaction information; preferred format of drug interaction alerts; levels of agreement on the value of various usability features; aspects of drug interaction decision support users would most like to change.
RESULTS: Surveys were returned by 219 GPs and 170 pharmacists. Of the 191 GPs and 138 pharmacists included in the analysis, the vast majority considered severity, clinical effects and management advice to be mostly or sometimes useful in drug interaction alerts. The most popular drug interaction alert format--favoured by 131 GPs (69%) and 115 pharmacists (83%)--was one with headings and one or two succinct bullet points under each. The vast majority of respondents also wanted to be able to differentiate drug interaction alerts by severity, and a majority agreed that it should be made more difficult to override alerts for severe interactions and that it should be mandatory to provide a reason for doing so.
CONCLUSIONS: GPs and pharmacists want drug interaction alert information to be relevant, useful, concise, and easy to read and comprehend. Software vendors and knowledge providers could improve drug interaction decision support by making changes to the content and format of drug interaction alerts according to our recommendations.

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Mesh:

Year:  2011        PMID: 22171864     DOI: 10.5694/mja11.10206

Source DB:  PubMed          Journal:  Med J Aust        ISSN: 0025-729X            Impact factor:   7.738


  5 in total

1.  Efficacy and unintended consequences of hard-stop alerts in electronic health record systems: a systematic review.

Authors:  Emily M Powers; Richard N Shiffman; Edward R Melnick; Andrew Hickner; Mona Sharifi
Journal:  J Am Med Inform Assoc       Date:  2018-11-01       Impact factor: 4.497

Review 2.  The safety of computerised prescribing in hospitals.

Authors:  Melissa T Baysari; Magdalena Z Raban
Journal:  Aust Prescr       Date:  2019-08-01

3.  Co-prescription of metoprolol and CYP2D6-inhibiting antidepressants before and after implementation of an optimized drug interaction database in Norway.

Authors:  Ane Gedde-Dahl; Olav Spigset; Espen Molden
Journal:  Eur J Clin Pharmacol       Date:  2022-07-25       Impact factor: 3.064

4.  Comparison of Clinical Importance of Drug Interactions Identified by Hospital Pharmacists and a Local Clinical Decision Support System.

Authors:  Louise Lau; Harkaryn Bagri; Michael Legal; Karen Dahri
Journal:  Can J Hosp Pharm       Date:  2021-07-01

5.  Reliability, ease of use and usefulness of I-MeDeSA for evaluating drug-drug interaction alerts in an Australian context.

Authors:  Melissa T Baysari; David Lowenstein; Wu Yi Zheng; Richard O Day
Journal:  BMC Med Inform Decis Mak       Date:  2018-10-05       Impact factor: 2.796

  5 in total

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