Literature DB >> 25434998

Psychosocial determinants of physicians' acceptance of recommendations by antibiotic computerised decision support systems: A mixed methods study.

Angela Chow1, David C B Lye2, Onyebuchi A Arah3.   

Abstract

Antibiotic computerised decision support systems (CDSSs) were developed to facilitate optimal prescribing, but acceptance of their recommendations has remained low. We aimed to evaluate physicians' perceptions and attitudes toward antibiotic CDSSs and determine psychosocial factors associated with acceptance of CDSS recommendations for empirical therapy. A mixed methods study was conducted in an adult tertiary-care hospital in Singapore, with its in-house antibiotic CDSS that integrates antimicrobial stewardship with electronic prescribing. Focus group discussions were conducted among purposively sampled physicians and data were analysed using the framework approach. Emerging themes were included in the questionnaire with newly developed scales for the subsequent cross-sectional survey involving all physicians. Principal components analysis was performed to derive the latent factor structure that was later applied in multivariate analyses. Physicians expressed confidence in the credibility of CDSS recommendations. Junior physicians accepted CDSS recommendations most of the time, whilst senior physicians acknowledged overriding recommendations in complex patients with multiple infections or allergies. Willingness to consult the CDSS for common and complex infections (OR=1.68, 95% CI 1.16-2.44) and preference for personal or team decision (OR=0.61, 95% CI 0.43-0.85) were associated with acceptance of CDSS recommendations. Cronbach's α for scales measuring physicians' attitudes and perceptions towards acceptance of CDSS recommendations ranged from 0.64 to 0.88. Physicians' willingness to consult an antibiotic CDSS determined acceptance of its recommendations. Physicians would choose to exercise their own or clinical team's decision over CDSS recommendations in complex patient situations when the antibiotic prescribing needs were not met.
Copyright © 2014 Elsevier B.V. and the International Society of Chemotherapy. All rights reserved.

Entities:  

Keywords:  Antibiotic prescribing; Antibiotic resistance; Computerised decision support system; Mixed methods study; Physicians’ acceptance; Psychosocial determinants

Mesh:

Substances:

Year:  2014        PMID: 25434998     DOI: 10.1016/j.ijantimicag.2014.10.009

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


  7 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.  Patient and physician predictors of patient receipt of therapies recommended by a computerized decision support system when initially prescribed broad-spectrum antibiotics: a cohort study.

Authors:  Angela L P Chow; David C Lye; Onyebuchi A Arah
Journal:  J Am Med Inform Assoc       Date:  2015-09-05       Impact factor: 4.497

4.  How do stakeholders experience the adoption of electronic prescribing systems in hospitals? A systematic review and thematic synthesis of qualitative studies.

Authors:  Albert Farre; Gemma Heath; Karen Shaw; Danai Bem; Carole Cummins
Journal:  BMJ Qual Saf       Date:  2019-07-29       Impact factor: 7.035

5.  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

6.  Mortality Benefits of Antibiotic Computerised Decision Support System: Modifying Effects of Age.

Authors:  Angela L P Chow; David C Lye; Onyebuchi A Arah
Journal:  Sci Rep       Date:  2015-11-30       Impact factor: 4.379

Review 7.  Social and professional influences on antimicrobial prescribing for doctors-in-training: a realist review.

Authors:  Chrysanthi Papoutsi; Karen Mattick; Mark Pearson; Nicola Brennan; Simon Briscoe; Geoff Wong
Journal:  J Antimicrob Chemother       Date:  2017-09-01       Impact factor: 5.790

  7 in total

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