“I think there has to be a mutual respect for there to be value”: Evaluating patient engagement in a national clinical trial on de-implementation of low value care
Notice bibliographique
Résumé
Abstract Background The evaluation of patient engagement in research is understudied and under-reported, making it difficult to know what engagement strategies work best and when. We provide the results of an evaluation of patient engagement in a large Canadian research program focused on the de-implementation of low-value care. We aimed to evaluate the experience and impact of patient engagement in the study. Methods An online cross-sectional survey was administered using Microsoft Forms to (1) researchers and study staff and (2) patient partners. The survey was developed following iterative reviews by the project’s patient partnership council and evaluation committee. Survey content areas included opinions on patient engagement to date, including challenges to engagement and suggestions for improvement. Patient partners also evaluated the partnership council. Descriptive statistics including counts and percentages described Likert scale survey items, while open comments were analyzed using descriptive content analysis. Results The survey response rate was 46% (17/37). There were positive attitudes about the value of patient engagement in this project. There was also a high degree of willingness to be involved with patient engagement in future projects, whether as a patient partner or as a researcher including patients on the research team. Most patient partners felt their contributions to the project were valued by researchers and study research staff. Open comments revealed that a co-design approach and full inclusion on the research team were integral to demonstrating the value of patient partner input. Areas for improvement included more frequent and ongoing communication among all team members, as well as earlier training about patient engagement, particularly addressing role expectations and role clarity. Conclusions Our data revealed that despite some challenges, team members recognized the value of patient engagement in research and agreed project decisions had been impacted by patient partner input. Ongoing communication was highlighted as an area for improvement, as well as earlier training and ongoing support for all team members, but particularly researchers and study staff. In response to evaluation data, the team has reinstated a quarterly newsletter and plans to use specific patient engagement planning templates across study sites for all project activities. These tools should help make expectations clear for all team members and contribute to a positive patient engagement experience. Findings can inform patient engagement planning and evaluation for other health research projects.
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 | 0,003 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| 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 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 ».