Family Engagement in Action: An evaluation of a peer navigation team in community-based paediatric rehabilitation 
Notice bibliographique
Résumé
Introduction: Grandview Kids is a not-for-profit children’s treatment centre that supports nearly 17,000 children and youth with physical, communication and developmental needs in Ontario, Canada. An integral part of the interdisciplinary and family-centred approach is the inclusion of peer navigation through the Family Engagement Team (FET). For a decade, the FET has grown to eight Peer Navigators who are parents of Grandview clients or were a Grandview client as a child. To date, the FET has not undergone a formal evaluation to assess its strengths and identify areas of improvement. Aims, objectives, theory or methods: This oral presentation aims to highlight the outcomes of a SWOT (strengths, weaknesses, opportunities and threats) process evaluation of the Grandview Kids’ FET. The project embodied a participatory utilization-focused evaluation, which included co-designing the evaluation questions and intended outcomes alongside multiple stakeholders within the organization. Methods were carefully selected based on the scope of the project. A series of group consultations with Peer Navigators and one-on-one interviews with the organization’s senior leaders produced qualitative data. A digital whiteboard and verbatim transcripts aided in the development of a SWOT analysis: strengths, weaknesses, opportunities, and threats. Highlights or results or key findings: Key results are presented following a SWOT framework. Strengths included leadership support/commitment? to grow the FET programs, lived experience of Peer Navigators, and supportive interdisciplinary teammates. Weaknesses included feelings of responsibility to support/assist families above and beyond the scope of work, a lack of workplace policies across disciplines in relation to the FET, and a lack of program monitoring. Opportunities included support for peer navigation to be embedded into government initiatives and embracing online technology to broaden the reach of family-centred care and family voice as a pillar of the organization’s values. Threats included unclear roles and shared responsibilities across disciplines, risk of unstable staffing, limited access to client health record information, and risk of changes to government funding programs that impact successful family engagement. Interestingly, comments on program supports and impedances were shared among Peer Navigators as well as senior leaders. Conclusions: Peer Navigators are highly valued members of the Grandview Kids’ interdisciplinary team; however, more work is required to ensure the effective integration of health and social care. Formal recommendations are made at the conclusion of this process evaluation, which has broad applicability to hospital and community-based care settings. Implications for applicability/transferability, sustainability, and limitations: The Family Engagement Team at Grandview Kids has surpassed 10 years of service to the families of the Durham Region. Key lessons learned about the integration of family voice passed the point of consultation are applicable to all healthcare settings and will be shared in this presentation.
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 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 | 0,026 | 0,028 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,004 | 0,003 |
| Communication savante | 0,003 | 0,002 |
| Science ouverte | 0,003 | 0,007 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 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 ».