Literature DB >> 28756438

Feedback and Training to Improve Use of an Electronic Prescribing System: A Randomised Controlled Trial.

Scott Leung1, Wu Yi Zheng2, Anmol Sandhu3, Richard Day4, Ling Li2, Melissa Baysari2.   

Abstract

Excessive presentation of alerts in electronic prescribing systems (ePS) results in 'alert fatigue' which reduces alert effectiveness and frustrates users. Previous research at our study site showed high rates of duplication alerts, some of which were the result of doctors not using available short-cut functions in the ePS. This study aimed to improve uptake of short-cut functions and so reduce alert fatigue by trialing two interventions: feedback and training. Fifty doctors were randomised to one of three groups: Control, Feedback or Training. The Feedback group received an individualised feedback report via email and the Training group received brief face-to-face refresher training. Participants partook in informal interviews to discuss the training and the ePS in use. The proportion of orders which triggered a duplication alert was our primary outcome measure. Neither intervention had a significant impact on duplication alert rate (Feedback: 80.8% vs. 77.8% of orders, Training: 77.5% vs. 76.5% of orders; all p>0.05). We identified a number of factors related to the intervention, ePS and prescribing environment that contributed to this result. Rather than focusing on changing prescribing behaviour, we suggest a more effective and appropriate approach is to redesign the ePS so that fewer and more meaningful alerts are presented.

Entities:  

Keywords:  Electronic prescribing; alert fatigue; alerts; feedback; training

Mesh:

Year:  2017        PMID: 28756438

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  4 in total

1.  Conceptualizing clinical decision support as complex interventions: a meta-analysis of comparative effectiveness trials.

Authors:  Thomas J Reese; Siru Liu; Bryan Steitz; Allison McCoy; Elise Russo; Brian Koh; Jessica Ancker; Adam Wright
Journal:  J Am Med Inform Assoc       Date:  2022-09-12       Impact factor: 7.942

Review 2.  Reducing medication errors for adults in hospital settings.

Authors:  Agustín Ciapponi; Simon E Fernandez Nievas; Mariana Seijo; María Belén Rodríguez; Valeria Vietto; Herney A García-Perdomo; Sacha Virgilio; Ana V Fajreldines; Josep Tost; Christopher J Rose; Ezequiel Garcia-Elorrio
Journal:  Cochrane Database Syst Rev       Date:  2021-11-25

3.  A theory-based meta-regression of factors influencing clinical decision support adoption and implementation.

Authors:  Siru Liu; Thomas J Reese; Kensaku Kawamoto; Guilherme Del Fiol; Charlene Weir
Journal:  J Am Med Inform Assoc       Date:  2021-10-12       Impact factor: 7.942

4.  A qualitative study of prescribing errors among multi-professional prescribers within an e-prescribing system.

Authors:  Fahad Alshahrani; John F Marriott; Anthony R Cox
Journal:  Int J Clin Pharm       Date:  2020-11-09
  4 in total

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