Development of a KT intervention to promote the use of dance as a therapeutic modality in rehabilitation
Notice bibliographique
Résumé
Background: Dance is a modality of choice in rehabilitation, because it combines the benefits of aerobic exercise with an enjoyable social activity. Despite the scientific evidence supporting the use of dance in rehabilitation, this treatment modality is rarely used in rehabilitation settings. As with other evidence-based interventions in rehabilitation, the implementation of scientific results from research to practice remains a challenge. Objective: This thesis aims to answer the following research question: What knowledge translation (KT) strategy will enable professionals working in rehabilitation to implement a specific dance intervention as a therapeutic modality? To answer this question, the two manuscripts presented in this thesis will address the following specific research objectives: 1) To determine the factors influencing the implementation of a dance intervention in a rehabilitation setting, 2) To identify the preferred format for a KT strategy based on clinicians’ perceptions of their needs for specific knowledge. Methods: Using a descriptive qualitative study design, this research project was based on the Knowledge-to-Action Process. Three focus groups were conducted with allied health-care professionals from three purposefully selected rehabilitation centers of the Centre for Interdisciplinary Research in Rehabilitation of the Greater Montreal (CRIR). Two members of the research team independently analyzed the transcripts using thematic content analysis. Results: Fourteen clinicians across three sites (six occupational therapists, six physiotherapists and two social workers) participated in this study. Four main factors supporting or limiting the implementation of a dance intervention emerged from the analysis: Clinician’s knowledge and skills, Interest towards using dance as a potential intervention and personal beliefs, Support from the organization of the institution, and Available resources. Although each site was different, the personal and organizational factors influencing the implementation of a potential dance intervention were similar for all three sites. Moreover, the participants corroborated the need for a simple and user-friendly KT strategy, designed for busy clinicians. Discrepancies were noted on which type of KT strategy would be most useful to ensure the implementation of dance interventions between sites currently using dance or those not using it. In an institution where dance was already implemented, direct mentoring was perceived as the ideal format to disseminate knowledge. In an institution where dance was not used, the best perceived format was a combination of active strategies in various formats: a web-supported platform with videos and written documentation. In all three groups, the structure of a dance class, the dance exercises and the therapists’ skills were described as important components of this multi-component tool. Conclusion: Consistent with the Knowledge-to-Action Process, this research project accomplished two actions: Assess Barriers to Knowledge Use and Adapt Knowledge to Local Context. The identification of the barriers to implement a dance intervention and the preferred format and content of KT strategy are a necessary precursor to developing effective KT strategies tailored to the need of clinicians working in rehabilitation centers. It can ultimately contribute to facilitate the implementation a dance intervention in rehabilitation settings.
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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 | 0,008 | 0,014 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,003 | 0,001 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,002 | 0,003 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,001 |
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 ».