Literature DB >> 33669353

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

Mah Laka1, Adriana Milazzo1, Tracy Merlin2.   

Abstract

The study evaluated individual and setting-specific factors that moderate clinicians' perception regarding use of clinical decision support systems (CDSS) for antibiotic management. A cross-sectional online survey examined clinicians' perceptions about CDSS implementation for antibiotic management in Australia. Multivariable logistic regression determined the association between drivers of CDSS adoption and different moderators. Clinical experience, CDSS use and care setting were important predictors of clinicians' perception concerning CDSS adoption. Compared to nonusers, CDSS users were less likely to lack confidence in CDSS (OR = 0.63, 95%, CI = 0.32, 0.94) and consider it a threat to professional autonomy (OR = 0.47, 95%, CI = 0.08, 0.83). Conversely, there was higher likelihood in experienced clinicians (>20 years) to distrust CDSS (OR = 1.58, 95%, CI = 1.08, 2.23) due to fear of comprising their clinical judgement (OR = 1.68, 95%, CI = 1.27, 2.85). In primary care, clinicians were more likely to perceive time constraints (OR = 1.96, 95%, CI = 1.04, 3.70) and patient preference (OR = 1.84, 95%, CI = 1.19, 2.78) as barriers to CDSS adoption for antibiotic prescribing. Our findings provide differentiated understanding of the CDSS implementation landscape by identifying different individual, organisational and system-level factors that influence system adoption. The individual and setting characteristics can help understand the variability in CDSS adoption for antibiotic management in different clinicians.

Entities:  

Keywords:  UTAUT; barriers; clinical decision support tools; facilitators

Year:  2021        PMID: 33669353      PMCID: PMC7920296          DOI: 10.3390/ijerph18041901

Source DB:  PubMed          Journal:  Int J Environ Res Public Health        ISSN: 1660-4601            Impact factor:   3.390


  46 in total

Review 1.  Why don't physicians follow clinical practice guidelines? A framework for improvement.

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Journal:  JAMA       Date:  1999-10-20       Impact factor: 56.272

2.  The potential of training to increase acceptance and use of computerized decision support systems for medical diagnosis.

Authors:  Fuji Lai; Jean Macmillan; Denise H Daudelin; David M Kent
Journal:  Hum Factors       Date:  2006       Impact factor: 2.888

3.  Working at the intersection of context, culture, and technology: Provider perspectives on antimicrobial stewardship in the emergency department using electronic health record clinical decision support.

Authors:  Phillip Chung; Jean Scandlyn; Peter S Dayan; Rakesh D Mistry
Journal:  Am J Infect Control       Date:  2017-07-12       Impact factor: 2.918

4.  Organizational factors affecting successful adoption of innovative eHealth services: a case study employing the FITT framework.

Authors:  Manolis Tsiknakis; Angelina Kouroubali
Journal:  Int J Med Inform       Date:  2008-08-23       Impact factor: 4.046

Review 5.  Precision diagnosis: a view of the clinical decision support systems (CDSS) landscape through the lens of critical care.

Authors:  Arnaud Belard; Timothy Buchman; Jonathan Forsberg; Benjamin K Potter; Christopher J Dente; Allan Kirk; Eric Elster
Journal:  J Clin Monit Comput       Date:  2016-02-22       Impact factor: 2.502

Review 6.  Factors influencing implementation success of guideline-based clinical decision support systems: A systematic review and gaps analysis.

Authors:  E Kilsdonk; L W Peute; M W M Jaspers
Journal:  Int J Med Inform       Date:  2016-12-05       Impact factor: 4.046

7.  Use of electronic health records and clinical decision support systems for antimicrobial stewardship.

Authors:  Graeme N Forrest; Trevor C Van Schooneveld; Ravina Kullar; Lucas T Schulz; Phu Duong; Michael Postelnick
Journal:  Clin Infect Dis       Date:  2014-10-15       Impact factor: 9.079

8.  Can evidence-based decision support tools transform antibiotic management? A systematic review and meta-analyses.

Authors:  Mah Laka; Adriana Milazzo; Tracy Merlin
Journal:  J Antimicrob Chemother       Date:  2020-05-01       Impact factor: 5.790

9.  Multisite exploration of clinical decision making for antibiotic use by emergency medicine providers using quantitative and qualitative methods.

Authors:  Larissa May; Glencora Gudger; Paige Armstrong; Gillian Brooks; Pamela Hinds; Rahul Bhat; Gregory J Moran; Lisa Schwartz; Sara E Cosgrove; Eili Y Klein; Richard E Rothman; Cynthia Rand
Journal:  Infect Control Hosp Epidemiol       Date:  2014-07-23       Impact factor: 3.254

10.  Development and implementation of computerized clinical guidelines: barriers and solutions.

Authors:  M H Trivedi; J K Kern; A Marcee; B Grannemann; B Kleiber; T Bettinger; K Z Altshuler; A McClelland
Journal:  Methods Inf Med       Date:  2002       Impact factor: 2.176

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  3 in total

1.  Impact of Clinical Decision Support System Implementation at a Community Hospital With an Existing Tele-Antimicrobial Stewardship Program.

Authors:  Tina M Khadem; Howard J Ergen; Heather J Salata; Christina Andrzejewski; Erin K McCreary; Rima C Abdel Massih; J Ryan Bariola
Journal:  Open Forum Infect Dis       Date:  2022-05-09       Impact factor: 4.423

2.  Clinical Decision Support System Based on Hybrid Knowledge Modeling: A Case Study of Chronic Kidney Disease-Mineral and Bone Disorder Treatment.

Authors:  Syed Imran Ali; Su Woong Jung; Hafiz Syed Muhammad Bilal; Sang-Ho Lee; Jamil Hussain; Muhammad Afzal; Maqbool Hussain; Taqdir Ali; Taechoong Chung; Sungyoung Lee
Journal:  Int J Environ Res Public Health       Date:  2021-12-26       Impact factor: 3.390

Review 3.  Human Factors and Technological Characteristics Influencing the Interaction of Medical Professionals With Artificial Intelligence-Enabled Clinical Decision Support Systems: Literature Review.

Authors:  Michael Knop; Sebastian Weber; Marius Mueller; Bjoern Niehaves
Journal:  JMIR Hum Factors       Date:  2022-03-24
  3 in total

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