“Still learning and evolving in our approaches”: patient and stakeholder engagement among Canadian community-based primary health care researchers
Notice bibliographique
Résumé
Increasingly, health researchers are conducting their research in partnership with non-researchers such as patients and caregivers, advocacy groups, clinicians, and policymakers. The idea behind this partnership is to make research more relevant and appropriate. However, so far there is not much evidence about how this partnership or engagement actually affects research. We conducted an online survey of 12 teams in Canada that have engaged patients and other stakeholders in community based health research, partly as a requirement to obtain funding. We found that in many cases, the teams have engaged a wide variety and large number of stakeholders, and have involved them in many different stages of their research. Teams reported that their overall experience of this approach to research has been positive, but some challenges have been encountered along the way. Some teams found that it was difficult to communicate appropriately with all the stakeholders, and to keep them informed when research was going slowly. Other teams had trouble finding government representatives to work with. Several teams noted that engagement is time-consuming, and requires a lot of effort. Nevertheless, all teams reported that they had learned from the experience, and found it valuable. As a result, Canadian health care researchers are better positioned to engage with patients and other stakeholders in the future. Background Patient and other stakeholder engagement in research is increasingly important, but there is limited evidence of its impact. In 2013, the Canadian Institutes of Health Research launched a five-year Community Based Primary Health Care (CBPHC) initiative that funded 12 teams for innovative approaches to primary health care involving engagement with patients, communities, decision-makers, and clinicians across jurisdictions in Canada. The present study examines the extent of engagement by these teams, and the factors that affected it, either as challenges or opportunities. Methods We conducted a cross-sectional web-based survey across the 12 CBPHC Innovation Teams, in which we were also participants. We used a data collection tool developed by the Patient Centered Outcomes Research Institute that included both closed and open-ended questions. Results The quantitative data showed that the CBPHC Innovation teams have engaged with diverse stakeholders at different levels and in different stages of research. Almost all teams surveyed engaged with policymakers, most with clinicians and health system representatives, and more than half with patients, mostly at the level of consultation or collaboration. There were very few instances of stakeholder-led research reported. There was a near universal recognition of the importance of communications processes/tools in facilitating engagement, whereas time was the most commonly identified challenge. In almost all cases, challenges encountered were partially if not fully resolved. The qualitative findings showed that each team’s engagement was contextualized by factors such as the jurisdictions and geographic scope of the project, the number and type of stakeholders engaged and their level of involvement. These intersected with the researchers’ motivations for engagement, to give rise to diverse experiences, but ones that the CBPHC teams assessed positively as an approach to research. Conclusions Over the past five years, primary health care researchers in Canada have been actively engaging with patients and other stakeholders. The wide range, extent and nature of that engagement shows that these researchers have anticipated developments in this approach to research and are thus in a position to support and strengthen future efforts to understand the impact of this engagement on health care outcomes.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
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 | 0,024 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,007 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,005 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».