Literature DB >> 21347076

Role of physicians' reactance in e-iatrogenesis: a case study with ASTI guiding mode on the management of hypertension.

B Séroussi1, H Falcoff, D Sauquet, J Julien, J Bouaud.   

Abstract

Clinical decision support systems (CDSSs) have the potential to increase guideline adherence, but factors of success are not yet understood. ASTI guiding mode (ASTI-GM) is an on-demand guideline-based CDSS where the user navigates in a knowledge base to get the best treatment for a given patient. We conducted a web-based evaluation of ASTI-GM, carried out as a before-after study, where general practitioners (GPs) were asked to solve 5 clinical cases, first without ASTI-GM, then using the system. Of the 136 GPs that resolved the case on the management of hypertension, compliance with best practices increased from 69.1% to 80.9% with ASTI-GM. When the navigation matched the set of patient parameters described in the clinical case, the increase was even higher and reached 92.9%. E-iatrogenesis has been measured at 19.1%, with 5.1% of commission errors, 8.1% of negative reactance, and 5.9% of neutral reactance. Role of physicians' reactance in noncompliance with guideline-based CDSSs should be further investigated.

Entities:  

Mesh:

Year:  2010        PMID: 21347076      PMCID: PMC3041345     

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


  8 in total

Review 1.  Computer-based guideline implementation systems: a systematic review of functionality and effectiveness.

Authors:  R N Shiffman; Y Liaw; C A Brandt; G J Corb
Journal:  J Am Med Inform Assoc       Date:  1999 Mar-Apr       Impact factor: 4.497

2.  ASTI: a guideline-based drug-ordering system for primary care.

Authors:  B Séroussi; J Bouaud; H Dréau; H Falcoff; C Riou; M Joubert; C Simon; G Simon; A Venot
Journal:  Stud Health Technol Inform       Date:  2001

Review 3.  Effects of computerized clinical decision support systems on practitioner performance and patient outcomes: a systematic review.

Authors:  Amit X Garg; Neill K J Adhikari; Heather McDonald; M Patricia Rosas-Arellano; P J Devereaux; Joseph Beyene; Justina Sam; R Brian Haynes
Journal:  JAMA       Date:  2005-03-09       Impact factor: 56.272

4.  Types of unintended consequences related to computerized provider order entry.

Authors:  Emily M Campbell; Dean F Sittig; Joan S Ash; Kenneth P Guappone; Richard H Dykstra
Journal:  J Am Med Inform Assoc       Date:  2006-06-23       Impact factor: 4.497

5.  "e-Iatrogenesis": the most critical unintended consequence of CPOE and other HIT.

Authors:  Jonathan P Weiner; Toni Kfuri; Kitty Chan; Jinnet B Fowles
Journal:  J Am Med Inform Assoc       Date:  2007-02-28       Impact factor: 4.497

6.  Defining and measuring physicians' responses to clinical reminders.

Authors:  Geva Vashitz; Joachim Meyer; Yisrael Parmet; Roni Peleg; Dan Goldfarb; Avi Porath; Harel Gilutz
Journal:  J Biomed Inform       Date:  2008-10-26       Impact factor: 6.317

7.  Some unintended consequences of clinical decision support systems.

Authors:  Joan S Ash; Dean F Sittig; Emily M Campbell; Kenneth P Guappone; Richard H Dykstra
Journal:  AMIA Annu Symp Proc       Date:  2007-10-11

Review 8.  The effects of on-screen, point of care computer reminders on processes and outcomes of care.

Authors:  Kaveh G Shojania; Alison Jennings; Alain Mayhew; Craig R Ramsay; Martin P Eccles; Jeremy Grimshaw
Journal:  Cochrane Database Syst Rev       Date:  2009-07-08
  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.