Literature DB >> 19292630

Integrating scientific evidence to support telehomecare development in a remote region.

Marie-Pierre Gagnon1, Julie Duplantie, Jean-Paul Fortin, Lise Lamothe, France Légaré, Michel Labrecque.   

Abstract

This study aimed to understand how different types of knowledge have influenced the decision making process regarding the implementation of telehomecare in the organization of regional healthcare services in the Province of Quebec (Canada). A case study was conducted in order to explore how scientific evidence was integrated in the decision-making processes regarding the implementation of a telehomecare system in the Gaspésie-Magdalene Islands Health Region. A total of 14 semistructured interviews were completed with key organizational decision makers (regional managers, organization managers, healthcare professionals, and technological managers). Two researchers independently carried out data analysis, encouraging iterations and validation with study participants. The Gaspésie-Magdalene Islands Telehomecare Project is based on a technological solution named Intelligent Distance Patient Monitoring and constitutes a relevant example of the evolution of an e-health solution. Indeed, the first reports of the experiment influenced decision makers to continue the deployment of the solution. Decision makers from all groups agreed on the importance of using past experience to avoid pitfalls and ensure an optimal decision-making process. They highlighted the importance of knowledge translation between sites as well as within sites. Knowledge translation played an important part in the success of the project. Efficient strategies to transfer evidence to organizational decision making have been identified such as an endusers forum, where researchers provide support by sharing evidence with end-users and actively participate in knowledge translation.

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Year:  2009        PMID: 19292630      PMCID: PMC4005789          DOI: 10.1089/tmj.2008.0070

Source DB:  PubMed          Journal:  Telemed J E Health        ISSN: 1530-5627            Impact factor:   3.536


  7 in total

1.  Health technology assessment and clinical decision making: which is the best evidence?

Authors:  A Granados
Journal:  Int J Technol Assess Health Care       Date:  1999       Impact factor: 2.188

Review 2.  Determinants of successful telemedicine implementations: a literature study.

Authors:  Tom H F Broens; Rianne M H A Huis in't Veld; Miriam M R Vollenbroek-Hutten; Hermie J Hermens; Aart T van Halteren; Lambert J M Nieuwenhuis
Journal:  J Telemed Telecare       Date:  2007       Impact factor: 6.184

Review 3.  Moving research into practice: A decision framework for integrating home telehealth into chronic illness care.

Authors:  Marilynne A Hebert; Barbara Korabek; Richard E Scott
Journal:  Int J Med Inform       Date:  2006-07-26       Impact factor: 4.046

4.  Assessing the impact of health technology assessment.

Authors:  R Jacob; M McGregor
Journal:  Int J Technol Assess Health Care       Date:  1997       Impact factor: 2.188

Review 5.  Rigour and qualitative research.

Authors:  N Mays; C Pope
Journal:  BMJ       Date:  1995-07-08

6.  Implementing telehealth to support medical practice in rural/remote regions: what are the conditions for success?

Authors:  Marie-Pierre Gagnon; Julie Duplantie; Jean-Paul Fortin; Réjean Landry
Journal:  Implement Sci       Date:  2006-08-24       Impact factor: 7.327

7.  An integrated strategy of knowledge application for optimal e-health implementation: a multi-method study protocol.

Authors:  Marie-Pierre Gagnon; France Légaré; Jean-Paul Fortin; Lise Lamothe; Michel Labrecque; Julie Duplantie
Journal:  BMC Med Inform Decis Mak       Date:  2008-04-24       Impact factor: 2.796

  7 in total
  1 in total

1.  A multi-level qualitative analysis of Telehomecare in Ontario: challenges and opportunities.

Authors:  Gemma Hunting; Nida Shahid; Yeva Sahakyan; Iris Fan; Crystal R Moneypenny; Aleksandra Stanimirovic; Taylor North; Yelena Petrosyan; Murray D Krahn; Valeria E Rac
Journal:  BMC Health Serv Res       Date:  2015-12-09       Impact factor: 2.655

  1 in total

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