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Enregistrement W4413358374 · doi:10.5334/ijic.nacic24079

Gathering Voices from Patients, Families, and Communities: A University and Health System Partnership

2025· article· en· W4413358374 sur OpenAlexaboutno aff
Tracey Carr, Brenda Andreas, Candace Skrapek, Margaret King, Taylor Spock, Christine Stobart, Cathy Cole, Christopher Plishka, Gerald Farthing, Caitlin Ward

Notice bibliographique

RevueInternational Journal of Integrated Care · 2025
Typearticle
Langueen
DomaineHealth Professions
ThématiquePrimary Care and Health Outcomes
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésGeneral partnershipHealthcare systemHealth careSociologyPublic relationsMedicineNursingPolitical science

Résumé

récupéré en direct d'OpenAlex

Background: This novel university and health system initiative was designed to meet two needs: ) the Saskatchewan Health Authority (SHA) challenge to gather healthcare experience data from underserved communities, and 2) the university studentsdesire to engage in meaningful volunteer activities. Approach: In Saskatchewan, Canada during the university term 2023-24, a pilot co-curricular engaged learning project was launched to train students in patient-oriented healthcare research. This engaged learning project was a partnership between the SHA and St. Thomas More College, a University of Saskatchewan (USask) federated college. During the 4-week project, students learned key concepts in conducting health research including research ethics, privacy and confidentiality of health information, patient-oriented research, research relationships with Indigenous communities, sex and gender based analysis, and equity in healthcare. The project was facilitated by a USask faculty member and three Patient Partners, who were members of the SHA PCM team. The Saskatchewan Centre for Patient-Oriented Research and St. Thomas More College were key supports in the pilot. In January 2024, the students gained hands-on experience collecting Patient-Reported Experience Measures (PREMs). They were assigned to one of the two research initiatives, telephone interviews for healthcare survey participants or in-person focus groups for moms with babies under 2 months. Results: When the project was advertised via the primary USask communication channel, 50 students applied, 30 were accepted, and 28 completed the full 4-week program. Any upper-year student was eligible if they could commit to the project meeting schedule. The students came from various backgrounds and colleges at USask where majority of the students had never done qualitative research, and none had experience with patient-oriented research. The students were grouped in pods to complete data collection, analysis, and reporting, either through telephone interviews or focus groups. By April 2024, students conducted four focus groups with mothers regarding SHA services for new babies, and 35 telephone interviews with participants of a general healthcare experiences survey. Brief reports were prepared and distributed to healthcare system leaders to help inform decision making. As of June 2024, the engaged learning project is being evaluated. Focus groups and interviews are being conducted with participants from this project to understand how best to improve the learning experience and the resulting research output for the health system. Implications: The potential for collaboration between post secondary academic programs and the health system is relatively untapped in contexts other than clinical learning experiences and could lead to initiatives that generate better outcomes and experiences for patients and communities. The project provided students with a unique experience to develop crucial skills in patient-oriented research, to learn from Patient Partners, and to collect PREMS that contribute to SHA quality improvement initiatives. An evaluation is underway to assess the program effectiveness for both the SHA and the students. This project can have long lasting impacts on the students as they developed transferable skills and practices that will help them in their healthcare careers. This engaged learning project is a step in training the next generation of health care providers to value and understand patient-oriented research and care. The voices of patients, families, and communities are necessary to inform policies and improve healthcare in Saskatchewan for everyone.

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)0,040
score de la tête « metaresearch » (Gemma)0,021
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: Qualitatif
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,040
Score d'incertitude au seuil0,210

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0400,021
Méta-épidémiologie (sens strict)0,0000,001
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,002
Études des sciences et des technologies0,0330,016
Communication savante0,0150,008
Science ouverte0,0020,041
Intégrité de la recherche0,0040,008
Charge utile insuffisante (le modèle a refusé de juger)0,0080,001

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.

Tête enseignante Opus0,039
Tête enseignante GPT0,371
Écart entre enseignants0,333 · 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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