A mixed methods exploration of the characteristics, dynamics, processes and perceived effects of research partnerships in child health
Notice bibliographique
Résumé
Background: Research partnerships between health researchers and knowledge users (e.g., children and youth, parents and families, healthcare providers) are gaining momentum to promote the uptake and application of research. Yet, comprehensive data on partnerships within child health research that include partnership traditions and knowledge user groups remains limited. This dissertation addresses this gap by exploring child health as a unique context for research partnerships, focusing on their characteristics, dynamics, processes, and effects. Methods: This dissertation adopts an exploratory mixed-methods approach across three concurrent studies, employing multiple data collection and analysis methods while maintaining conceptual coherence and a pragmatic philosophical orientation, integrating findings in the discussion. Objective 1 characterized knowledge user engagement in published child health research through a scoping review, examining characteristics, practices, barriers, facilitators and effects. Objective 2 used interpretive description to provide an in-depth understanding of the experiences, motivations, and relational dynamics of engaging in research partnerships among Canadian child health researchers and knowledge users. Objective 3 employed a concurrent mixed-methods design to explore considerations influencing the individual determinants and perceived effects of partnered child health research compared to other health research contexts, through secondary analysis of a cross-sectional survey of Canadian partnered health research projects funded from 2011-2019 and interviews with child health researchers and knowledge users informed by qualitative description. Results: Objective 1 revealed a growing trend in publications on child health research partnerships, particularly since 2019. Most studies used community-based participatory research approaches and engaged multiple knowledge user groups, though reporting on barriers, facilitators, and effects varied. Objective 2 highlighted role-specific motivations for partnering and underscored the central role of relationships in shaping partnership dynamics, sustainability, and the ability to navigate challenges. Researchers often balanced evolving partnership practices within academic systems and structures not always conducive to collaboration, resulting in tensions. Objective 3 found no significant differences between child and general health cohorts in survey responses. Child health respondents reported positive perceptions of their capability, opportunity, and motivation to work in partnership, but mixed views on project effects. Interview participants embraced common principles across research contexts while navigating additional logistical (e.g., institutional processes) and practical (e.g., engaging proxies) challenges unique to partnered child health research. Participants noted distinct considerations (e.g., safeguarding vulnerable populations), processes (e.g., tailoring engagement strategies) and effects when engaging children and youth, with the ethos of the child health community facilitating partnerships. Conclusion: Overall, research partnerships in child health share common principles and challenges with those in other health research contexts, but also have unique characteristics, dynamics, and processes that add nuance to the conceptualization and practice of partnering. These findings provide a foundational understanding of child health research partnerships, guiding efforts to optimize partnership research and practice. By deepening our understanding of these elements, partners can work toward meaningful collaborations that enhance child health research uptake and effects.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,121 | 0,090 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,002 |
| Bibliométrie | 0,007 | 0,009 |
| Études des sciences et des technologies | 0,008 | 0,004 |
| Communication savante | 0,007 | 0,004 |
| Science ouverte | 0,003 | 0,007 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 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 source (Gemma direct ou Codex distillé), 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 ».