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Enregistrement W4413358401 · doi:10.5334/ijic.nacic24040

Co-Design for Improvement in Long-Term Care

2025· article· en· W4413358401 sur OpenAlexaboutno aff
Fiona Fick, Chelsea Belt, Kirstian Gibson, Cathy Cole

Notice bibliographique

RevueInternational Journal of Integrated Care · 2025
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueHealthcare innovation and challenges
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésTerm (time)Long-term careIntegrated careMedicineProcess managementComputer scienceBusinessNursingHealth carePolitical science

Résumé

récupéré en direct d'OpenAlex

Background: Existing challenges in providing high quality care within Long-Term Care (LTC) are often compounded by mistrust and poor relationships. Ameliorating this through intentionally building trust and relationships requires focused effort and necessitates the inclusion of staff, residents, and families as valued partners who effectively contribute to improved quality of care. Approach: The People-Centred Care Strategy (PCS) Team in the Saskatchewan Health Authority (SHA) co-created and facilitated an 8-month co-designed quality improvement (QI) pilot project in a rural LTC Home in southern Saskatchewan. The primary aim was to strengthen trust and relationships between residents, families, staff, and managers through working together on a specific improvement project.The PCS team introduced the co-design concept to the Managers and broadly within the Home and asked for volunteers for a Working Group (WG) made up of residents, families, staff, and Managers. The team became external facilitators of the WG and helped the group work through initial formation issues and to build relationships through getting to know each other and learning to work together. However, all improvement decisions and actions were driven by the WG. The WG decided on two areas for improvement and split into two sub-groups that created and implemented tools to improve quality of life for residents. Although Managers were members of the WG, other staff members took the lead role within the group. Additionally, the Managers and Director of the Home received tailored leadership coaching, particularly around teamwork and communication. A pre- and post-intervention evaluation and a Realist Evaluation was conducted to develop and refine a program theory (PT) identifying key mechanisms of building trust. Results: The WG got off to a slow start and was slow to develop cohesion. Members were dissatisfied with the early pace as the PCS team intentionally spent time on building relationships and ensuring co-identification of the project. The WG wanted less talk and more action. However, the PCS team repeatedly emphasized that building trust and relationships was the focus of this project rather than simply QI. In addition, the time spent getting to know each other would speed up the later stages of project implementation. This prediction was fulfilled as differences in group dynamics became evident in later stages. The WG not only achieved results through pilot testing the improvement tools, but had fun along the way.All participants gained new insights about the work and experiences of the others. Although psychological safety is often a concern within the hierarchy of health care, we saw staff increasingly willing to push back against the opinions of others and to speak out as the central point-of-care providers. We saw a shared leadership model emerge as group members shared their ideas and questioned Managers about decisions and next steps.Preliminary data analyses confirm that top-down hierarchical approaches contribute to mistrust and frustration with staff, residents, and families and reducing this approach through co-design has a positive effect on relationships. Eight mechanisms that contribute to trust have been identified: autonomy/sense of control, transparency, shared goals/values, an expressed commitment to building relationships, optimism for change, and feeling acknowledged, valued, and respected. Implications: The practical learnings will be synthesized and used together with the PT to help other SHA LTC Homes work on building trust and relationships as the foundation for improved quality of care and quality of life for residents. Future co-design efforts will include prioritizing relationship building over initial quick actions, sharing power with key partners, ensuring shared values and goals, ensuring the organizational culture is supportive of co-design and sufficient time and resources are allocated, and having clear communication within and beyond the co-design team.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,049
score de la tête « metaresearch » (Gemma)0,053
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,049
Score d'incertitude au seuil0,259

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0490,053
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,002
Bibliométrie0,0020,001
Études des sciences et des technologies0,0030,007
Communication savante0,0080,004
Science ouverte0,0030,010
Intégrité de la recherche0,0020,003
Charge utile insuffisante (le modèle a refusé de juger)0,0130,004

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.

Tête enseignante Opus0,042
Tête enseignante GPT0,417
Écart entre enseignants0,375 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeQualitatif
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2025
Routes d'admission1
Résumé présentoui

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