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A computer decision aid for medical prevention: a pilot qualitative study of the Personalized Estimate of Risks (EsPeR) system

BACKGROUND: Many preventable diseases such as ischemic heart diseases and breast cancer prevail at a large scale in the general population. Computerized decision support systems are one of the solutions for improving the quality of prevention strategies. METHODS: The system called EsPeR (Personalise...

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Autores principales: Colombet, Isabelle, Dart, Thierry, Leneveut, Laurence, Zunino, Sylvain, Ménard, Joël, Chatellier, Gilles
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2003
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC317339/
https://www.ncbi.nlm.nih.gov/pubmed/14641924
http://dx.doi.org/10.1186/1472-6947-3-13
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author Colombet, Isabelle
Dart, Thierry
Leneveut, Laurence
Zunino, Sylvain
Ménard, Joël
Chatellier, Gilles
author_facet Colombet, Isabelle
Dart, Thierry
Leneveut, Laurence
Zunino, Sylvain
Ménard, Joël
Chatellier, Gilles
author_sort Colombet, Isabelle
collection PubMed
description BACKGROUND: Many preventable diseases such as ischemic heart diseases and breast cancer prevail at a large scale in the general population. Computerized decision support systems are one of the solutions for improving the quality of prevention strategies. METHODS: The system called EsPeR (Personalised Estimate of Risks) combines calculation of several risks with computerisation of guidelines (cardiovascular prevention, screening for breast cancer, colorectal cancer, uterine cervix cancer, and prostate cancer, diagnosis of depression and suicide risk). We present a qualitative evaluation of its ergonomics, as well as it's understanding and acceptance by a group of general practitioners. We organised four focus groups each including 6–11 general practitioners. Physicians worked on several structured clinical scenari os with the help of EsPeR, and three senior investigators leaded structured discussion sessions. RESULTS: The initial sessions identified several ergonomic flaws of the system that were easily corrected. Both clinical scenarios and discussion sessions identified several problems related to the insufficient comprehension (expression of risks, definition of familial history of disease), and difficulty for the physicians to accept some of the recommendations. CONCLUSION: Educational, socio-professional and organisational components (i.e. time constraints for training and use of the EsPeR system during consultation) as well as acceptance of evidence-based decision-making should be taken into account before launching computerised decision support systems, or their application in randomised trials.
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spelling pubmed-3173392004-01-23 A computer decision aid for medical prevention: a pilot qualitative study of the Personalized Estimate of Risks (EsPeR) system Colombet, Isabelle Dart, Thierry Leneveut, Laurence Zunino, Sylvain Ménard, Joël Chatellier, Gilles BMC Med Inform Decis Mak Research Article BACKGROUND: Many preventable diseases such as ischemic heart diseases and breast cancer prevail at a large scale in the general population. Computerized decision support systems are one of the solutions for improving the quality of prevention strategies. METHODS: The system called EsPeR (Personalised Estimate of Risks) combines calculation of several risks with computerisation of guidelines (cardiovascular prevention, screening for breast cancer, colorectal cancer, uterine cervix cancer, and prostate cancer, diagnosis of depression and suicide risk). We present a qualitative evaluation of its ergonomics, as well as it's understanding and acceptance by a group of general practitioners. We organised four focus groups each including 6–11 general practitioners. Physicians worked on several structured clinical scenari os with the help of EsPeR, and three senior investigators leaded structured discussion sessions. RESULTS: The initial sessions identified several ergonomic flaws of the system that were easily corrected. Both clinical scenarios and discussion sessions identified several problems related to the insufficient comprehension (expression of risks, definition of familial history of disease), and difficulty for the physicians to accept some of the recommendations. CONCLUSION: Educational, socio-professional and organisational components (i.e. time constraints for training and use of the EsPeR system during consultation) as well as acceptance of evidence-based decision-making should be taken into account before launching computerised decision support systems, or their application in randomised trials. BioMed Central 2003-11-27 /pmc/articles/PMC317339/ /pubmed/14641924 http://dx.doi.org/10.1186/1472-6947-3-13 Text en Copyright © 2003 Colombet et al; licensee BioMed Central Ltd. This is an Open Access article: verbatim copying and redistribution of this article are permitted in all media for any purpose, provided this notice is preserved along with the article's original URL.
spellingShingle Research Article
Colombet, Isabelle
Dart, Thierry
Leneveut, Laurence
Zunino, Sylvain
Ménard, Joël
Chatellier, Gilles
A computer decision aid for medical prevention: a pilot qualitative study of the Personalized Estimate of Risks (EsPeR) system
title A computer decision aid for medical prevention: a pilot qualitative study of the Personalized Estimate of Risks (EsPeR) system
title_full A computer decision aid for medical prevention: a pilot qualitative study of the Personalized Estimate of Risks (EsPeR) system
title_fullStr A computer decision aid for medical prevention: a pilot qualitative study of the Personalized Estimate of Risks (EsPeR) system
title_full_unstemmed A computer decision aid for medical prevention: a pilot qualitative study of the Personalized Estimate of Risks (EsPeR) system
title_short A computer decision aid for medical prevention: a pilot qualitative study of the Personalized Estimate of Risks (EsPeR) system
title_sort computer decision aid for medical prevention: a pilot qualitative study of the personalized estimate of risks (esper) system
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC317339/
https://www.ncbi.nlm.nih.gov/pubmed/14641924
http://dx.doi.org/10.1186/1472-6947-3-13
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