An Integrative Review on the Feasibility and Acceptability of Delivering an Online Training and Mentoring Module to Volunteers Working in Community Organizations
Notice bibliographique
Résumé
Background: Volunteer programs that support older persons can assist them in accessing healthcare in an efficient and effective manner. Community-based initiatives that train volunteers to support patients with advancing illness is an important advance for public health. As part of implementing an effective community-based volunteer-based program, volunteers need to be sufficiently trained. Online training could be an effective and safe way to provide education for volunteers in both initial training and/or continuing education throughout their involvement as a volunteer. Method: We conducted an integrative review that synthesized literature on online training programs for volunteers who support older adults. The review included both a search of existing research literature in six databases, and an online search of online training programs currently being delivered in Canada. The purpose of this review was to examine the feasibility and acceptability of community-based organizations adopting an online training format for their volunteers. Results: The database search identified 13,626 records, these went through abstract and full text screen resulting in a final 15 records. This was supplemented by 2 records identified from hand searching the references, for a total of 17 articles. In addition to identifying Volunteers Roles and Responsibilities; Elements of Training; and Evaluation of Feasibility and Acceptability; a thematic analysis of the 17 records identified the categories: (1) Feasibility Promoting Factors; (2) Barriers to Feasibility; (3) Acceptability Promoting Factors; and (4) Barriers to Acceptability. Six programs were also identified in the online search of online training programs. These programs informed our understanding of delivery of existing online volunteer training programs. Discussion: Findings suggested that feasibility and acceptability of online training were promoted by (a) topic relevant training for volunteers; (b) high engagement of volunteers to prevent attrition; (c) mentorship or leadership component. Challenges to online training included a high workload; time elapsed between training and its application; and client attitude toward volunteers. Future research on online volunteer training should consider how online delivery can be most effectively paced to support volunteers in completing training and the technical skills needed to complete the training and whether teaching these skills can be integrated into programs.
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 | 0,002 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,002 |
| 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 ».