Addressing power imbalance in research: exploring power in integrated knowledge translation health research
Notice bibliographique
Résumé
Integrated knowledge translation (IKT) is a knowledge translation framework that focuses collaboration between researchers and knowledge users (KUs) to generate research findings. KUs can be policymakers, clinicians, or those with lived experience who partner with researchers. While advocated as an approach that democratizes research and reduces power imbalance between researchers and KUs, it is not known if the implementation of IKT by health researchers actively addresses power imbalances. The aim of this study was to review research using an integrated knowledge translation approach to explore how power is addressed within these research studies. By looking broadly at how the studies addressed/described/discussed/dismantled power we explored examples of when this was done well and not so well, exposing the assumptions sometimes made by researchers. We drew from systematic review procedures combined with a modified critical discourse analysis (CDA) lens. We searched Medline, PsycINFO, CINAHL, Scopus, Social Science Database, SocIndex and Google Scholar for English language studies that focused on IKT and power. Data were extracted on study characteristics and a modified CDA which included questions in relation to power (e.g., description of power, phrases used to describe power, evidence of power dynamics, strategies for addressing power imbalances) and end user engagement (e.g., Did they ask KUs how they wanted to be involved? Did they engage in reflection with KUs? Did they discuss dissemination strategies with KUs). Eleven studies were eligible after screening 381 titles and reviewing 40 full-text studies. The use of IKT to address power varied significantly, revealing both positive examples as well as some missed opportunities to address power imbalances from study inception to dissemination. Revisiting the use of IKT to examine how power is defined, shared, and managed in relationships with KUs could provide valuable insights. Using a CDA framework to explore these dynamics would indeed address the nuances of power in research contexts. Future research should focus on developing strategies to effectively implement IKT to address power imbalances, leading to research that has a better chance of being useful, usable and used in practice. One of the difficulties of doing research is understanding and managing the power difference between researchers and knowledge users (community members/those impacted by disease/service providers). When power imbalances are not managed well in research teams, the results may not be as beneficial to its knowledge users because it may not be relevant, and further, power imbalance can negatively impact knowledge users’ experiences of engaging in research. Some researchers are trying to ensure there is more equality in research and explore how to address power differences within their own work. There are different ways to help researchers collaborate with knowledge users. One method of working with knowledge users in research is called Integrated Knowledge Translation (IKT), which started in Canada in the 1990s. IKT involves everyone in the research process working together from the start and is focused on ensuring that those who will be using research also inform its production. The aim of the current study was to review studies using an integrated knowledge translation approach to explore how power is addressed within these research studies. By broadly examining how the studies addressed, described, discussed, and dismantled power, we were able to identify various examples of effective and ineffective approaches. In the eleven papers we assessed, power was not always addressed or explained well. When it was, discussion about power was found in the background of the paper, or in some sections of their work rather than a strong focus of the work, suggesting there are many opportunities for researchers to better address power.
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Comment cette classification a été obtenuedéplier
Étiquettes directes de modèles (non validées)
Étiquettes de catégorie et de devis d'étude par modèle, issues des rondes d'étiquetage. C'est une sortie machine, non validée, et le désaccord entre modèles est livré comme donnée. Aucun devis ici n'est encore validé contre MEDLINE.
| Bras | Catégories | Devis d'étude | Confiance |
|---|---|---|---|
| gemma | Études des sciences et des technologies Domaine: non disponible · Genre: Synthèse Porte sur le système de recherche canadien: non · Porte sur un sujet canadien: non | Théorique ou conceptuel | low |
| gpt | Métarecherche Domaine: Méthodes · Genre: Synthèse Porte sur le système de recherche canadien: non · Porte sur un sujet canadien: non | Qualitatif | low |
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,239 | 0,010 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,002 | 0,000 |
| Bibliométrie | 0,011 | 0,012 |
| Études des sciences et des technologies | 0,004 | 0,001 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,001 | 0,015 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéeÉtiqueté directement par 2 modèles lisant le dossier complet.
Les modèles divergent sur des parties de cette classification; chaque voix est préservée dans la section en fin de page.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».