Literature DB >> 17458707

Clinical decision support systems and antibiotic use.

Nada Atef Shebl1, Bryony Dean Franklin, Nick Barber.   

Abstract

AIM: To review and appraise randomised controlled trials (RCT) and 'before and after' studies published on clinical decision support systems (CDSS) used to support the use of antibiotics.
METHODS: A literature search was carried out in October 2006 using MEDLINE including Medical Subject Heading (MeSH) terms (1966-2006), EMBASE (Excerpta Medica, 1980-2006) and International Pharmaceutical Abstracts (IPA, 1970-2006) using the combinations of the following terms: (Decision support systems) or (CDSS) AND (antibiotics) or (anti-infectives) or (antibacterials) or (antimicrobials). Only English language papers were selected. Editorials, letters and case reports/series were excluded. The reference sections of all retrieved articles were also searched for any further relevant articles.
RESULTS: Forty articles were identified. Five RCT and six 'before and after' studies were retrieved. In the RCTs, three studies used computer-based CDSS, one paper-based CDSS and one a combination of both. Two studies were conducted in primary care and three within secondary care. The primary outcomes for each study were different and only three studies were significant in the favour of the use of CDSS. 'Before and after' studies were used where RCT were not feasible. One 'before and after' study was excluded because it did not include any control group. The remaining five included historical control groups and evaluated the use of computer-based CDSS within secondary care. Their primary outcomes also varied but all concluded significant benefits of CDSS. Only three of ten studies were conducted outside the USA; one in Switzerland and two in Australia.
CONCLUSION: CDSS could be a powerful tool to improve clinical care and patient outcomes. It presents a promising future for optimising antibiotic use. However, it is difficult to generalise as most studies were conducted in the United States. Although RCT are the 'gold standard' in research, they may not be feasible to conduct. Realising that different study designs answer different questions would allow researchers to choose the most appropriate study design to evaluate CDSS in a specified setting.

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Year:  2007        PMID: 17458707     DOI: 10.1007/s11096-007-9113-3

Source DB:  PubMed          Journal:  Pharm World Sci        ISSN: 0928-1231


  34 in total

1.  Users' Guides to the Medical Literature: XVIII. How to use an article evaluating the clinical impact of a computer-based clinical decision support system.

Authors:  A G Randolph; R B Haynes; J C Wyatt; D J Cook; G H Guyatt
Journal:  JAMA       Date:  1999-07-07       Impact factor: 56.272

2.  Case-based reasoning for antibiotics therapy advice: an investigation of retrieval algorithms and prototypes.

Authors:  R Schmidt; L Gierl
Journal:  Artif Intell Med       Date:  2001-10       Impact factor: 5.326

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

4.  Effects of computer-based clinical decision support systems on physician performance and patient outcomes: a systematic review.

Authors:  D L Hunt; R B Haynes; S E Hanna; K Smith
Journal:  JAMA       Date:  1998-10-21       Impact factor: 56.272

5.  A randomized controlled trial of point-of-care evidence to improve the antibiotic prescribing practices for otitis media in children.

Authors:  D A Christakis; F J Zimmerman; J A Wright; M M Garrison; F P Rivara; R L Davis
Journal:  Pediatrics       Date:  2001-02       Impact factor: 7.124

6.  Improving empiric antibiotic selection using computer decision support.

Authors:  R S Evans; D C Classen; S L Pestotnik; H P Lundsgaarde; J P Burke
Journal:  Arch Intern Med       Date:  1994-04-25

Review 7.  Evaluating informatics applications--clinical decision support systems literature review.

Authors:  B Kaplan
Journal:  Int J Med Inform       Date:  2001-11       Impact factor: 4.046

Review 8.  Computer-assisted decision support for the diagnosis and treatment of infectious diseases in intensive care units.

Authors:  C A M Schurink; P J F Lucas; I M Hoepelman; M J M Bonten
Journal:  Lancet Infect Dis       Date:  2005-05       Impact factor: 25.071

9.  Development and impact of a computerized pediatric antiinfective decision support program.

Authors:  C J Mullett; R S Evans; J C Christenson; J M Dean
Journal:  Pediatrics       Date:  2001-10       Impact factor: 7.124

10.  Database-driven computerized antibiotic decision support: novel use of expert antibiotic susceptibility rules embedded in a pathogen-antibiotic logic matrix.

Authors:  Charles J Mullett; John G Thomas
Journal:  AMIA Annu Symp Proc       Date:  2003
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  16 in total

Review 1.  A review on systematic reviews of health information system studies.

Authors:  Francis Lau; Craig Kuziemsky; Morgan Price; Jesse Gardner
Journal:  J Am Med Inform Assoc       Date:  2010 Nov-Dec       Impact factor: 4.497

Review 2.  Effects of clinical decision-support systems on practitioner performance and patient outcomes: a synthesis of high-quality systematic review findings.

Authors:  Monique W M Jaspers; Marian Smeulers; Hester Vermeulen; Linda W Peute
Journal:  J Am Med Inform Assoc       Date:  2011-03-21       Impact factor: 4.497

3.  Helping GPs to extrapolate guideline recommendations to patients for whom there are no explicit recommendations, through the visualization of drug properties. The example of AntibioHelp® in bacterial diseases.

Authors:  Rosy Tsopra; Karima Sedki; Mélanie Courtine; Hector Falcoff; Antoine De Beco; Ronni Madar; Frédéric Mechaï; Jean-Baptiste Lamy
Journal:  J Am Med Inform Assoc       Date:  2019-10-01       Impact factor: 4.497

Review 4.  A Survey of the Literature on Unintended Consequences Associated with Health Information Technology: 2014-2015.

Authors:  K Zheng; J Abraham; L L Novak; T L Reynolds; A Gettinger
Journal:  Yearb Med Inform       Date:  2016-11-10

Review 5.  Effects of computer-aided clinical decision support systems in improving antibiotic prescribing by primary care providers: a systematic review.

Authors:  Jakob Holstiege; Tim Mathes; Dawid Pieper
Journal:  J Am Med Inform Assoc       Date:  2014-08-14       Impact factor: 4.497

6.  Developing clinical decision support within a commercial electronic health record system to improve antimicrobial prescribing in the neonatal ICU.

Authors:  R S Hum; K Cato; B Sheehan; S Patel; J Duchon; P DeLaMora; Y H Ferng; P Graham; D K Vawdrey; J Perlman; E Larson; L Saiman
Journal:  Appl Clin Inform       Date:  2014-04-09       Impact factor: 2.342

7.  Current State of Antimicrobial Stewardship in Children's Hospital Emergency Departments.

Authors:  Rakesh D Mistry; Jason G Newland; Jeffrey S Gerber; Adam L Hersh; Larissa May; Sarah M Perman; Nathan Kuppermann; Peter S Dayan
Journal:  Infect Control Hosp Epidemiol       Date:  2017-02-08       Impact factor: 3.254

8.  The meaningful use of EMR in Chinese hospitals: a case study on curbing antibiotic abuse.

Authors:  Jing-Song Li; Xiao-Guang Zhang; Hua-Qiong Wang; Yu Wang; Jing-Ming Wang; Qing-Dong Shao
Journal:  J Med Syst       Date:  2013-03-14       Impact factor: 4.460

Review 9.  A call to action for antimicrobial stewardship in the emergency department: approaches and strategies.

Authors:  Larissa May; Sara Cosgrove; Michelle L'Archeveque; David A Talan; Perry Payne; Jeanne Jordan; Richard E Rothman
Journal:  Ann Emerg Med       Date:  2012-11-02       Impact factor: 5.721

10.  Examining Workflow in a Pediatric Emergency Department to Develop a Clinical Decision Support for an Antimicrobial Stewardship Program.

Authors:  Mustafa Ozkaynak; Danny T Y Wu; Katia Hannah; Peter S Dayan; Rakesh D Mistry
Journal:  Appl Clin Inform       Date:  2018-04-11       Impact factor: 2.342

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