Integrating scientific evidence to support telehomecare development in a remote region

Telemed J E Health. 2009 Mar;15(2):195-8. doi: 10.1089/tmj.2008.0070.

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.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Cooperative Behavior
  • Decision Making
  • Delivery of Health Care
  • Evidence-Based Medicine*
  • Humans
  • Program Evaluation
  • Qualitative Research
  • Quebec
  • Rural Population / statistics & numerical data*
  • Telemedicine / organization & administration*

Grants and funding