Literature DB >> 17238335

Textual guidelines versus computable guidelines: a comparative study in the framework of the PRESGUID project in order to appreciate the impact of guideline format on physician compliance.

Jean-Charles Dufour1, Julien Bouvenot, Pierre Ambrosi, Dominique Fieschi, Marius Fieschi.   

Abstract

BACKGROUND: The compliance of physicians with the clinical practice guidelines (CPG) is insufficient and needs to be improved.
OBJECTIVE: To determine whether standalone computerized CPG within the PRESGUID project could improve compliance with the recommendations than the use of CPG in textual format.
METHOD: Comparative analyses of the responses made by two groups of resident physicians to a set of clinical cases. One group of residents had access to the CPG exclusively in textual format (paper document) while the second group had access to the CPG exclusively in computerized format within the PRESGUID software applications.
RESULTS: The computable CPG are more efficient than the paper-based CPG regarding responses in compliance with the recommendations especially those judged to be relevant by an expert.
CONCLUSION: These results should encourage the bodies responsible for diffusing CPG to promote the computable format and to facilitate the computerization process.

Entities:  

Mesh:

Year:  2006        PMID: 17238335      PMCID: PMC1839673     

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN: 1559-4076


  15 in total

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

Authors:  M D Cabana; C S Rand; N R Powe; A W Wu; M H Wilson; P A Abboud; H R Rubin
Journal:  JAMA       Date:  1999-10-20       Impact factor: 56.272

2.  Clinical decision support systems for the practice of evidence-based medicine.

Authors:  I Sim; P Gorman; R A Greenes; R B Haynes; B Kaplan; H Lehmann; P C Tang
Journal:  J Am Med Inform Assoc       Date:  2001 Nov-Dec       Impact factor: 4.497

3.  Toward a representation format for sharable clinical guidelines.

Authors:  A A Boxwala; S Tu; M Peleg; Q Zeng; O Ogunyemi; R A Greenes; E H Shortliffe; V L Patel
Journal:  J Biomed Inform       Date:  2001-06       Impact factor: 6.317

4.  A platform to develop and to improve effectiveness of online computable guidelines.

Authors:  Jean-Charles Dufour; Marius Fieschi; Dominique Fieschi; Roch Giorgi; Joanny Gouvernet
Journal:  Stud Health Technol Inform       Date:  2003

5.  Measuring the impact of diagnostic decision support on the quality of clinical decision making: development of a reliable and valid composite score.

Authors:  Padmanabhan Ramnarayan; Ritika R Kapoor; Michael Coren; Vasantha Nanduri; Amanda L Tomlinson; Paul M Taylor; Jeremy C Wyatt; Joseph F Britto
Journal:  J Am Med Inform Assoc       Date:  2003-08-04       Impact factor: 4.497

6.  Predicting physician guideline compliance: an assessment of motivators and perceived barriers.

Authors:  Susan K Maue; Richard Segal; Carole L Kimberlin; Earlene E Lipowski
Journal:  Am J Manag Care       Date:  2004-06       Impact factor: 2.229

7.  Modeling guidelines for integration into clinical workflow.

Authors:  Samson W Tu; Mark A Musen; Ravi Shankar; James Campbell; Karen Hrabak; James McClay; Stanley M Huff; Robert McClure; Craig Parker; Roberto Rocha; Robert Abarbanel; Nick Beard; Julie Glasgow; Guy Mansfield; Prabhu Ram; Qin Ye; Eric Mays; Tony Weida; Christopher G Chute; Kevin McDonald; David Molu; Mark A Nyman; Sidna Scheitel; Harold Solbrig; David A Zill; Mary K Goldstein
Journal:  Stud Health Technol Inform       Date:  2004

8.  Comparing computer-interpretable guideline models: a case-study approach.

Authors:  Mor Peleg; Samson Tu; Jonathan Bury; Paolo Ciccarese; John Fox; Robert A Greenes; Richard Hall; Peter D Johnson; Neill Jones; Anand Kumar; Silvia Miksch; Silvana Quaglini; Andreas Seyfang; Edward H Shortliffe; Mario Stefanelli
Journal:  J Am Med Inform Assoc       Date:  2003 Jan-Feb       Impact factor: 4.497

9.  A survey of factors affecting clinician acceptance of clinical decision support.

Authors:  Dean F Sittig; Michael A Krall; Richard H Dykstra; Allen Russell; Homer L Chin
Journal:  BMC Med Inform Decis Mak       Date:  2006-02-01       Impact factor: 2.796

10.  Coupling computer-interpretable guidelines with a drug-database through a web-based system--The PRESGUID project.

Authors:  Jean-Charles Dufour; Dominique Fieschi; Marius Fieschi
Journal:  BMC Med Inform Decis Mak       Date:  2004-03-02       Impact factor: 2.796

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  3 in total

1.  Use of the C4.5 machine learning algorithm to test a clinical guideline-based decision support system.

Authors:  Jean-Baptiste Lamy; Anis Ellini; Vahid Ebrahiminia; Jean-Daniel Zucker; Hector Falcoff; Alain Venot
Journal:  Stud Health Technol Inform       Date:  2008

2.  A generic system for critiquing physicians' prescriptions: usability, satisfaction and lessons learnt.

Authors:  Jean-Baptiste Lamy; Vahid Ebrahiminia; Brigitte Seroussi; Jacques Bouaud; Christia Simon; Madeleine Favre; Hector Falcoff; Alain Venot
Journal:  Stud Health Technol Inform       Date:  2011

3.  How to translate therapeutic recommendations in clinical practice guidelines into rules for critiquing physician prescriptions? Methods and application to five guidelines.

Authors:  Jean-Baptiste Lamy; Vahid Ebrahiminia; Christine Riou; Brigitte Seroussi; Jacques Bouaud; Christian Simon; Stéphane Dubois; Antoine Butti; Gérard Simon; Madeleine Favre; Hector Falcoff; Alain Venot
Journal:  BMC Med Inform Decis Mak       Date:  2010-05-28       Impact factor: 2.796

  3 in total

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