How do navigation programs address the needs of those living in the community with advanced, life-limiting Illness? A realist evaluation of programs in Canada
Notice bibliographique
Résumé
BACKGROUND: We sought to identify innovative navigation programs across Canadian jurisdictions that target their services to individuals affected by life-limiting illness and their families, and articulate the principal components of these programs that enable them to address the needs of their clients who are living in the community. METHODS: This realist evaluation used a two-phased approach. First, we conducted a horizon scan of innovative community-based navigation programs across Canadian jurisdictions to identify innovative community-based navigation programs that aim to address the needs of community-dwelling individuals affected by life-limiting illness. Second, we conducted semi-structured interviews with key informants from each of the selected programs. Informants included individuals responsible for managing and delivering the program and decision-makers with responsibility and/or oversight of the program. Analyses proceeded in an iterative manner, consistent with realist evaluation methods. This included iteratively developing and refining Context-Mechanism-Outcome (CMO) configurations, and developing the final program theory. RESULTS: Twenty-seven navigation programs were identified from the horizon scan. Using specific eligibility criteria, 11 programs were selected for subsequent interviews and in-depth examination. Twenty-three participants were interviewed from these programs, which operated in five Canadian provinces. The programs represented a mixture of community (non-profit or volunteer), research-initiated, and health system programs. The final program theory was articulated as: navigation programs can improve client outcomes if they have supported and empowered staff who have the time and flexibility to personalize care to the needs of their clients. CONCLUSIONS: The findings highlight key principles (contexts and mechanisms) that enable navigation programs to develop client relationships, personalize care to client needs, and improve client outcomes. These principles include staff (or volunteer) knowledge and experience to coordinate health and social services, having a point of contact after hours, and providing staff (and volunteers) time and flexibility to develop relationships and respond to individualized client needs. These findings may be used by healthcare organizations - outside of navigation programs - to work towards more person-centred 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 | 0,003 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| 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 ».