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An integrated strategy of knowledge application for optimal e-health implementation: A multi-method study protocol
BACKGROUND: E-health is increasingly valued for supporting: 1) access to quality health care services for all citizens; 2) information flow and exchange; 3) integrated health care services and 4) interprofessional collaboration. Nevertheless, several questions remain on the factors allowing an optim...
Autores principales: | , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2008
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2390530/ https://www.ncbi.nlm.nih.gov/pubmed/18435853 http://dx.doi.org/10.1186/1472-6947-8-17 |
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author | Gagnon, Marie-Pierre Légaré, France Fortin, Jean-Paul Lamothe, Lise Labrecque, Michel Duplantie, Julie |
author_facet | Gagnon, Marie-Pierre Légaré, France Fortin, Jean-Paul Lamothe, Lise Labrecque, Michel Duplantie, Julie |
author_sort | Gagnon, Marie-Pierre |
collection | PubMed |
description | BACKGROUND: E-health is increasingly valued for supporting: 1) access to quality health care services for all citizens; 2) information flow and exchange; 3) integrated health care services and 4) interprofessional collaboration. Nevertheless, several questions remain on the factors allowing an optimal integration of e-health in health care policies, organisations and practices. An evidence-based integrated strategy would maximise the efficacy and efficiency of e-health implementation. However, decisions regarding e-health applications are usually not evidence-based, which can lead to a sub-optimal use of these technologies. This study aims at understanding factors influencing the application of scientific knowledge for an optimal implementation of e-health in the health care system. METHODS: A three-year multi-method study is being conducted in the Province of Quebec (Canada). Decision-making at each decisional level (political, organisational and clinical) are analysed based on specific approaches. At the political level, critical incidents analysis is being used. This method will identify how decisions regarding the implementation of e-health could be influenced or not by scientific knowledge. Then, interviews with key-decision-makers will look at how knowledge was actually used to support their decisions, and what factors influenced its use. At the organisational level, e-health projects are being analysed as case studies in order to explore the use of scientific knowledge to support decision-making during the implementation of the technology. Interviews with promoters, managers and clinicians will be carried out in order to identify factors influencing the production and application of scientific knowledge. At the clinical level, questionnaires are being distributed to clinicians involved in e-health projects in order to analyse factors influencing knowledge application in their decision-making. Finally, a triangulation of the results will be done using mixed methodologies to allow a transversal analysis of the results at each of the decisional levels. RESULTS: This study will identify factors influencing the use of scientific evidence and other types of knowledge by decision-makers involved in planning, financing, implementing and evaluating e-health projects. CONCLUSION: These results will be highly relevant to inform decision-makers who wish to optimise the implementation of e-health in the Quebec health care system. This study is extremely relevant given the context of major transformations in the health care system where e-health becomes a must. |
format | Text |
id | pubmed-2390530 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-23905302008-05-21 An integrated strategy of knowledge application for optimal e-health implementation: A multi-method study protocol Gagnon, Marie-Pierre Légaré, France Fortin, Jean-Paul Lamothe, Lise Labrecque, Michel Duplantie, Julie BMC Med Inform Decis Mak Study Protocol BACKGROUND: E-health is increasingly valued for supporting: 1) access to quality health care services for all citizens; 2) information flow and exchange; 3) integrated health care services and 4) interprofessional collaboration. Nevertheless, several questions remain on the factors allowing an optimal integration of e-health in health care policies, organisations and practices. An evidence-based integrated strategy would maximise the efficacy and efficiency of e-health implementation. However, decisions regarding e-health applications are usually not evidence-based, which can lead to a sub-optimal use of these technologies. This study aims at understanding factors influencing the application of scientific knowledge for an optimal implementation of e-health in the health care system. METHODS: A three-year multi-method study is being conducted in the Province of Quebec (Canada). Decision-making at each decisional level (political, organisational and clinical) are analysed based on specific approaches. At the political level, critical incidents analysis is being used. This method will identify how decisions regarding the implementation of e-health could be influenced or not by scientific knowledge. Then, interviews with key-decision-makers will look at how knowledge was actually used to support their decisions, and what factors influenced its use. At the organisational level, e-health projects are being analysed as case studies in order to explore the use of scientific knowledge to support decision-making during the implementation of the technology. Interviews with promoters, managers and clinicians will be carried out in order to identify factors influencing the production and application of scientific knowledge. At the clinical level, questionnaires are being distributed to clinicians involved in e-health projects in order to analyse factors influencing knowledge application in their decision-making. Finally, a triangulation of the results will be done using mixed methodologies to allow a transversal analysis of the results at each of the decisional levels. RESULTS: This study will identify factors influencing the use of scientific evidence and other types of knowledge by decision-makers involved in planning, financing, implementing and evaluating e-health projects. CONCLUSION: These results will be highly relevant to inform decision-makers who wish to optimise the implementation of e-health in the Quebec health care system. This study is extremely relevant given the context of major transformations in the health care system where e-health becomes a must. BioMed Central 2008-04-24 /pmc/articles/PMC2390530/ /pubmed/18435853 http://dx.doi.org/10.1186/1472-6947-8-17 Text en Copyright © 2008 Gagnon et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Study Protocol Gagnon, Marie-Pierre Légaré, France Fortin, Jean-Paul Lamothe, Lise Labrecque, Michel Duplantie, Julie An integrated strategy of knowledge application for optimal e-health implementation: A multi-method study protocol |
title | An integrated strategy of knowledge application for optimal e-health implementation: A multi-method study protocol |
title_full | An integrated strategy of knowledge application for optimal e-health implementation: A multi-method study protocol |
title_fullStr | An integrated strategy of knowledge application for optimal e-health implementation: A multi-method study protocol |
title_full_unstemmed | An integrated strategy of knowledge application for optimal e-health implementation: A multi-method study protocol |
title_short | An integrated strategy of knowledge application for optimal e-health implementation: A multi-method study protocol |
title_sort | integrated strategy of knowledge application for optimal e-health implementation: a multi-method study protocol |
topic | Study Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2390530/ https://www.ncbi.nlm.nih.gov/pubmed/18435853 http://dx.doi.org/10.1186/1472-6947-8-17 |
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