Literature DB >> 16278358

Clinical decision support and appropriateness of antimicrobial prescribing: a randomized trial.

Matthew H Samore1, Kim Bateman, Stephen C Alder, Elizabeth Hannah, Sharon Donnelly, Gregory J Stoddard, Bassam Haddadin, Michael A Rubin, Jacquelyn Williamson, Barry Stults, Randall Rupper, Kurt Stevenson.   

Abstract

CONTEXT: The impact of clinical decision support systems (CDSS) on antimicrobial prescribing in ambulatory settings has not previously been evaluated.
OBJECTIVE: To measure the added value of CDSS when coupled with a community intervention to reduce inappropriate prescribing of antimicrobial drugs for acute respiratory tract infections. DESIGN, PARTICIPANTS AND
SETTING: Cluster randomized trial that included 407,460 inhabitants and 334 primary care clinicians in 12 rural communities in Utah and Idaho (6 with 1 shared characteristic and 6 with another), and a third group of 6 communities that served as nonstudy controls. The preintervention period was January to December 2001 and the postintervention period was January 2002 to September 2003. Acute respiratory tract infection diagnoses were classified into groups based on indication for antimicrobial use. Multilevel regression methods were applied to account for the clustered design. INTERVENTION: Six communities received a community intervention alone and 6 communities received community intervention plus CDSS that were targeted toward primary care clinicians. The CDSS comprised decision support tools on paper and a handheld computer to guide diagnosis and management of acute respiratory tract infection. MAIN OUTCOME MEASURE: Community-wide antimicrobial usage was assessed using retail pharmacy data. Diagnosis-specific antimicrobial use was compared by chart review.
RESULTS: Within CDSS communities, 71% of primary care clinicians participated in the use of CDSS. The prescribing rate decreased from 84.1 to 75.3 per 100 person-years in the CDSS arm vs 84.3 to 85.2 in community intervention alone, and remained stable in the other communities (P = .03). A total of 13,081 acute respiratory tract infection visits were abstracted. The relative decrease in antimicrobial prescribing for visits in the antibiotics "never-indicated" category during the post-intervention period was 32% in CDSS communities and 5% in community intervention-alone communities (P = .03). Use of macrolides decreased significantly in CDSS communities but not in community intervention-alone communities.
CONCLUSION: CDSS implemented in rural primary care settings reduced overall antimicrobial use and improved appropriateness of antimicrobial selection for acute respiratory tract infections. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT00235703.

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Year:  2005        PMID: 16278358     DOI: 10.1001/jama.294.18.2305

Source DB:  PubMed          Journal:  JAMA        ISSN: 0098-7484            Impact factor:   56.272


  57 in total

1.  Impact of a clinical decision support system on antibiotic prescribing for acute respiratory infections in primary care: quasi-experimental trial.

Authors:  Arch G Mainous; Carol A Lambourne; Paul J Nietert
Journal:  J Am Med Inform Assoc       Date:  2012-07-03       Impact factor: 4.497

2.  Integrating spatial epidemiology into a decision model for evaluation of facial palsy in children.

Authors:  Andrew M Fine; John S Brownstein; Lise E Nigrovic; Amir A Kimia; Karen L Olson; Amy D Thompson; Kenneth D Mandl
Journal:  Arch Pediatr Adolesc Med       Date:  2011-01

3.  Impact of a computerized clinical decision support system on reducing inappropriate antimicrobial use: a randomized controlled trial.

Authors:  Jessina C McGregor; Elizabeth Weekes; Graeme N Forrest; Harold C Standiford; Eli N Perencevich; Jon P Furuno; Anthony D Harris
Journal:  J Am Med Inform Assoc       Date:  2006-04-18       Impact factor: 4.497

Review 4.  Clinical decision support systems and antibiotic use.

Authors:  Nada Atef Shebl; Bryony Dean Franklin; Nick Barber
Journal:  Pharm World Sci       Date:  2007-04-26

Review 5.  Clinical and laboratory considerations for the rapid detection of carbapenem-resistant Enterobacteriaceae.

Authors:  Ritu Banerjee; Romney Humphries
Journal:  Virulence       Date:  2016-05-11       Impact factor: 5.882

Review 6.  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

7.  Shifting the paradigm for promoting appropriate antibiotic use.

Authors:  Ralph Gonzales; Joshua P Metlay
Journal:  J Gen Intern Med       Date:  2013-06       Impact factor: 5.128

Review 8.  Intestinal microbiota and its relationship with necrotizing enterocolitis.

Authors:  Ravi Mangal Patel; Patricia W Denning
Journal:  Pediatr Res       Date:  2015-05-20       Impact factor: 3.756

Review 9.  Features predicting the success of computerized decision support for prescribing: a systematic review of randomized controlled trials.

Authors:  Brent Mollon; Jaron Chong; Anne M Holbrook; Melani Sung; Lehana Thabane; Gary Foster
Journal:  BMC Med Inform Decis Mak       Date:  2009-02-11       Impact factor: 2.796

10.  Effect of guideline based computerised decision support on decision making of multidisciplinary teams: cluster randomised trial in cardiac rehabilitation.

Authors:  Rick Goud; Nicolette F de Keizer; Gerben ter Riet; Jeremy C Wyatt; Arie Hasman; Irene M Hellemans; Niels Peek
Journal:  BMJ       Date:  2009-04-27
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