Literature DB >> 26774157

Implementation hurdles of an interactive, integrated, point-of-care computerised decision support system for hospital antibiotic prescription.

A L Chow1, A Ang2, C Z Chow3, T M Ng4, C Teng5, L M Ling6, B S Ang7, D C Lye8.   

Abstract

Antimicrobial stewardship is used to combat antimicrobial resistance. In Singapore, a tertiary hospital has integrated a computerised decision support system, called Antibiotic Resistance Utilisation and Surveillance-Control (ARUSC), into the electronic inpatient prescribing system. ARUSC is launched either by the physician to seek guidance for an infectious disease condition or via auto-trigger when restricted antibiotics are prescribed. This paper describes the implementation of ARUSC over three phases from 1 May 2011 to 30 April 2013, compared factors between ARUSC launches via auto-trigger and for guidance, examined factors associated with acceptance of ARUSC recommendations, and assessed user acceptability. During the study period, a monthly average of 9072 antibiotic prescriptions was made, of which 2370 (26.1%) involved ARUSC launches. Launches via auto-trigger comprised 48.1% of ARUSC launches. In phase 1, 23% of ARUSC launches were completed. This rose to 38% in phase 2, then 87% in phase 3, as escapes from the ARUSC programme were sequentially disabled. Amongst completed launches for guidance, 89% of ARUSC recommendations were accepted versus 40% amongst completed launches via auto-trigger. Amongst ARUSC launches for guidance, being from a medical department [adjusted odds ratio (aOR)=1.20, 95% confidence interval (CI) 1.04-1.37] and ARUSC launch during on-call (aOR=1.81, 95% CI 1.61-2.05) were independently associated with acceptance of ARUSC recommendations. Junior physicians found ARUSC useful. Senior physicians found ARUSC reliable but admitted to having preferences for antibiotics that may conflict with ARUSC. Hospital-wide implementation of ARUSC encountered hurdles from physicians. With modifications, the completion rate improved.
Copyright © 2015 Elsevier B.V. and the International Society of Chemotherapy. All rights reserved.

Entities:  

Keywords:  Antimicrobial stewardship; Computerised decision support system; Electronic medication prescription; Implementation

Mesh:

Substances:

Year:  2015        PMID: 26774157     DOI: 10.1016/j.ijantimicag.2015.12.006

Source DB:  PubMed          Journal:  Int J Antimicrob Agents        ISSN: 0924-8579            Impact factor:   5.283


  10 in total

Review 1.  Ten-year narrative review on antimicrobial resistance in Singapore.

Authors:  Alvin Qijia Chua; Andrea Lay-Hoon Kwa; Thean Yen Tan; Helena Legido-Quigley; Li Yang Hsu
Journal:  Singapore Med J       Date:  2019-08       Impact factor: 1.858

2.  Effective Antimicrobial StewaRdship StrategIES (ARIES): Cluster Randomized Trial of Computerized Decision Support System and Prospective Review and Feedback.

Authors:  Shi Thong Heng; Joshua Wong; Barnaby Young; Hui Lin Tay; Sock Hoon Tan; Min Yi Yap; Christine B Teng; Brenda Ang; Tau Hong Lee; Hui Ling Tan; Thomas W Lew; David Chien Lye; Tat Ming Ng
Journal:  Open Forum Infect Dis       Date:  2020-06-29       Impact factor: 3.835

3.  Improved antibiotic prescribing using indication-based clinical decision support in the emergency department.

Authors:  Foster R Goss; Kelly Bookman; Michelle Barron; Daniel Bickley; Brady Landgren; Miranda Kroehl; Kayla Williamson; Richard Zane; Jennifer Wiler
Journal:  J Am Coll Emerg Physicians Open       Date:  2020-03-13

Review 4.  The effectiveness of computerised decision support on antibiotic use in hospitals: A systematic review.

Authors:  Christopher E Curtis; Fares Al Bahar; John F Marriott
Journal:  PLoS One       Date:  2017-08-24       Impact factor: 3.240

5.  Impact of Clinicians' Use of Electronic Knowledge Resources on Clinical and Learning Outcomes: Systematic Review and Meta-Analysis.

Authors:  Lauren A Maggio; Christopher A Aakre; Guilherme Del Fiol; Jane Shellum; David A Cook
Journal:  J Med Internet Res       Date:  2019-07-25       Impact factor: 5.428

6.  Risk prediction models to guide antibiotic prescribing: a study on adult patients with uncomplicated upper respiratory tract infections in an emergency department.

Authors:  Joshua Guoxian Wong; Aung-Hein Aung; Weixiang Lian; David Chien Lye; Chee-Kheong Ooi; Angela Chow
Journal:  Antimicrob Resist Infect Control       Date:  2020-11-02       Impact factor: 4.887

7.  Factors That Impact the Adoption of Clinical Decision Support Systems (CDSS) for Antibiotic Management.

Authors:  Mah Laka; Adriana Milazzo; Tracy Merlin
Journal:  Int J Environ Res Public Health       Date:  2021-02-16       Impact factor: 3.390

8.  The development and implementation of a guideline-based clinical decision support system to improve empirical antibiotic prescribing.

Authors:  H Akhloufi; H van der Sijs; D C Melles; C P van der Hoeven; M Vogel; J W Mouton; A Verbon
Journal:  BMC Med Inform Decis Mak       Date:  2022-05-10       Impact factor: 3.298

9.  Sustaining Antimicrobial Stewardship in a High-Antibiotic Resistance Setting.

Authors:  Tat Ming Ng; Shi Thong Heng; Boon Hou Chua; Li Wei Ang; Sock Hoon Tan; Hui Lin Tay; Min Yi Yap; Jason Quek; Christine B Teng; Barnaby E Young; Ray Lin; Brenda Ang; Tau Hong Lee; David C Lye
Journal:  JAMA Netw Open       Date:  2022-05-02

10.  Digital interventions for antimicrobial prescribing and monitoring: a qualitative meta-synthesis of factors influencing user acceptance.

Authors:  Bethany A Van Dort; Jane E Carland; Jonathan Penm; Angus Ritchie; Melissa T Baysari
Journal:  J Am Med Inform Assoc       Date:  2022-09-12       Impact factor: 7.942

  10 in total

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