Literature DB >> 26262052

Physicians' Attitudes Towards the Advice of a Guideline-Based Decision Support System: A Case Study With OncoDoc2 in the Management of Breast Cancer Patients.

Jacques Bouaud1, Jean-Philippe Spano2, Jean-Pierre Lefranc2, Isabelle Cojean-Zelek3, Brigitte Blaszka-Jaulerry4, Laurent Zelek5, Axel Durieux6, Christophe Tournigand7, Alexandra Rousseau8, Pierre-Yves Vandenbussche9, Brigitte Séroussi10.   

Abstract

When wrongly used, guideline-based clinical decision support systems (CDSSs) may generate inappropriate propositions that do not match the recommendations provided by clinical practice guidelines (CPGs). The user may decide to comply with or react to the CDSS, and her decision may finally comply or not with CPGs. OncoDoc2 is a guideline-based CDSS for breast cancer management. We collected 394 decisions made by multidisciplinary meeting physicians in three hospitals where the CDSS was evaluated. We observed a global CPG compliance of 86.8% and a global CDSS compliance of 75.4%. Non-CPG compliance was observed in case of a negative reactance to the CDSS, when users did not follow a correct CDSS proposition (8.6% of decisions). Because of errors in patient data entry, OncoDoc2 delivered non-recommended propositions in 21.3% of decisions, leading to compliances with CDSS and CPGs of respectively 21.4% and 65.5%, whereas both compliances exceeded 90% when CDSS advices included CPG recommendations. Automation bias, when users followed an incorrect CDSS proposition explained the remaining non-compliance with CPGs (4.6% of decisions). Securing the use of CDSSs is of major importance to warranty patient safety and benefit of their potential to improve care.

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Mesh:

Year:  2015        PMID: 26262052

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  8 in total

Review 1.  Multidisciplinary care of breast cancer patients: a scoping review of multidisciplinary styles, processes, and outcomes.

Authors:  J Shao; M Rodrigues; A L Corter; N N Baxter
Journal:  Curr Oncol       Date:  2019-06-01       Impact factor: 3.677

2.  Transformation of the National Breast Cancer Guideline Into Data-Driven Clinical Decision Trees.

Authors:  Mathijs P Hendriks; Xander A A M Verbeek; Thijs van Vegchel; Maurice J C van der Sangen; Luc J A Strobbe; Jos W S Merkus; Harmien M Zonderland; Carolien H Smorenburg; Agnes Jager; Sabine S Siesling
Journal:  JCO Clin Cancer Inform       Date:  2019-05

Review 3.  Advances in Clinical Decision Support: Highlights of Practice and the Literature 2015-2016.

Authors:  R A Jenders
Journal:  Yearb Med Inform       Date:  2017-09-11

4.  A Systematic Review of Clinical Decision Support Systems for Clinical Oncology Practice.

Authors:  Pamala A Pawloski; Gabriel A Brooks; Matthew E Nielsen; Barbara A Olson-Bullis
Journal:  J Natl Compr Canc Netw       Date:  2019-04-01       Impact factor: 11.908

Review 5.  Clinical Decision Support Systems.

Authors:  Andreas Teufel; Harald Binder
Journal:  Visc Med       Date:  2021-09-28

Review 6.  Artificial Intelligence: A Shifting Paradigm in Cardio-Cerebrovascular Medicine.

Authors:  Vida Abedi; Seyed-Mostafa Razavi; Ayesha Khan; Venkatesh Avula; Aparna Tompe; Asma Poursoroush; Alireza Vafaei Sadr; Jiang Li; Ramin Zand
Journal:  J Clin Med       Date:  2021-12-06       Impact factor: 4.241

Review 7.  Trends in guideline implementation: an updated scoping review.

Authors:  Sanne Peters; Krithika Sukumar; Sophie Blanchard; Akilesh Ramasamy; Jennifer Malinowski; Pamela Ginex; Emily Senerth; Marleen Corremans; Zachary Munn; Tamara Kredo; Lucia Prieto Remon; Etienne Ngeh; Lisa Kalman; Samia Alhabib; Yasser Sami Amer; Anna Gagliardi
Journal:  Implement Sci       Date:  2022-07-23       Impact factor: 7.960

Review 8.  The Effect of Higher Level Computerized Clinical Decision Support Systems on Oncology Care: A Systematic Review.

Authors:  Sosse E Klarenbeek; Harm H A Weekenstroo; J P Michiel Sedelaar; Jurgen J Fütterer; Mathias Prokop; Marcia Tummers
Journal:  Cancers (Basel)       Date:  2020-04-22       Impact factor: 6.639

  8 in total

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