Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Family Practicearrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
Family Practice
Article
Data sources: UnpayWall
Family Practice
Article . 2016 . Peer-reviewed
Data sources: Crossref
Family Practice
Article . 2018
versions View all 2 versions
addClaim

Tokenism in patient engagement

Authors: David L, Hahn; Amanda E, Hoffmann; Maret, Felzien; Joseph W, LeMaster; Jinping, Xu; Lyle J, Fagnan;

Tokenism in patient engagement

Abstract

Patient engagement throughout research is a way to generate more relevant patient-important research questions, methods and results with the ultimate aim of facilitating translation of research into practice. Tokenism is defined as the practice of making perfunctory or symbolic efforts to engage communities or patients.We wanted to explore how tokenism might influence engaging patients in research to help researchers work towards more genuine engagement.The Community Clinician Advisory Group and Patient and Clinician Engagement program held a workshop at the 2015 North American Primary Care Research Group meeting titled 'How Do We Move beyond Tokenism in Patient Engagement?' Patients, clinicians and academic researchers contributed examples of genuine and token engagement characteristics based on personal experience and knowledge. Data were iteratively collated and categorized into domains and items.Examples of genuine and token engagement were categorized into three domains: Methods/Structure of engagement, Intent and Relationship building. Members with experience in patient-engaged research projects felt that longitudinal engagement was a key element to effectively translating research into local community and practice.The group (i) highly valued genuine intent and relationship building as elements to combat tokenism; (ii) noted that early genuine attempts at engagement may superficially resemble tokenism as researchers build enduring and trusting relationships with patient/community partners and (iii) emphasized the importance of seeking and utilizing patient experiences throughout research. These observations may contribute to more formal methods to help researchers (and reviewers) evaluate where engagement processes sit along the 'genuine-token' continuum.

Keywords

Community-Based Participatory Research, Physician-Patient Relations, Humans, Intention, Patient Participation

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    107
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
107
Top 1%
Top 10%
Top 10%
bronze