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Int J Health Policy Manag. 2019 Jun 01;8(6):378-380. doi: 10.15171/ijhpm.2019.16.

Patient Engagement and its Evaluation Tools- Current Challenges and Future Directions Comment on "Metrics and Evaluation Tools for Patient Engagement in Healthcare Organization- and System-Level Decision-Making: A Systematic Review".

International journal of health policy and management

Samira Abbasgholizadeh Rahimi, Hervé Tchala Vignon Zomahoun, France Légaré

Affiliations

  1. Department of Family Medicine, Faculty of Medicine, McGill University, Montreal, QC, Canada.
  2. Health and Social Services Systems, Knowledge Translation and Implementation Component of the Quebec SPOR-SUPPORT Unit, Université Laval, Quebec, QC, Canada.
  3. Université Laval Primary Care Research Centre (CERSSPL-UL), Université Laval, Quebec, QC, Canada.
  4. Department of Family Medicine and Emergency Medicine, Faculty of Medicine, Université Laval, Quebec, QC, Canada.
  5. Canada Research Chair in Shared Decision Making and Knowledge Translation, Quebec, QC, Canada.

PMID: 31256570 PMCID: PMC6600020 DOI: 10.15171/ijhpm.2019.16

Abstract

Considering the growing recognition of the importance of patient engagement in healthcare decisions, research and delivery systems, it is important to ensure high quality and efficient patient engagement evaluation tools. In this commentary, we will first highlight the definition and importance of patient engagement. Then we discuss the psychometric properties of the patient engagement evaluation tools identified in a recent review on patient engagement in healthcare organization- and system-level decision-making. Lastly, we suggest future directions for patient engagement and its evaluation tools.

© 2019 The Author(s); Published by Kerman University of Medical Sciences. This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Keywords: Artificial Intelligence; Evaluation Tools; Patient Engagement; Systematic Reviews; Technology

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