Implementing volunteer-navigation for older persons with advanced chronic illness (Nav-CARE): a knowledge to action study
Notice bibliographique
Résumé
BACKGROUND: Nav-CARE is a volunteer-led intervention designed to build upon strategic directions in palliative care: a palliative approach to care, a public health/compassionate community approach to care, and enhancing the capacity of volunteerism. Nav-CARE uses specially trained volunteers to provide lay navigation for older persons and family living at home with advanced chronic illness. The goal of this study was to better understand the implementation factors that influenced the utilization of Nav-CARE in eight diverse Canadian contexts. METHODS: This was a Knowledge to Action study using the planned action cycle for Nav-CARE developed through previous studies. Participants were eight community-based hospice societies located in diverse geographic contexts and with diverse capacities. Implementation data was collected at baseline, midpoint, and endpoint using qualitative individual and group interviews. Field notes of all interactions with study sites were also used as part of the data set. Data was analyzed using qualitative descriptive techniques. The study received ethical approval from three university behavioural review boards. All participants provided written consent. RESULTS: At baseline, stakeholders perceived Nav-CARE to be a good fit with the strategic directions of their organization by providing early palliative support, by facilitating outreach into the community and by changing the public perception of palliative care. The contextual factors that determined the ease with which Nav-CARE was implemented included the volunteer coordinator champion, organizational capacity and connection, the ability to successfully recruit older persons, and the adequacy of volunteer preparation and mentorship. CONCLUSIONS: This study highlighted the importance of community-based champions for the success of volunteer-led initiatives and the critical need for support and mentorship for both volunteers and those who lead them. Further, although the underutilization of hospice has been widely recognized, it is vital to recognize the limitations of their capacity. New initiatives such as Nav-CARE, which are designed to enhance their contributions to palliative care, need to be accompanied by adequate resources. Finally, this study illustrated the need to think carefully about the language and role of hospice societies as palliative care moves toward a public health approach to care.
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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 | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| 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 | 0,000 |
| 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 ».