MétaCan
Menu
Retour à la cohorte
Enregistrement W4415689334 · doi:10.21272/eumj.2025;13(3):885-898

RESPONSIBLE APPROACH TO THE DEVELOPMENT OF REHABILITATION EDUCATION: EFFECTIVE PARTNERSHIP AND COLLABORATION OF THE INITIATIVE «REHABILITATION OF WAR TRAUMA IN UKRAINE»

2025· article· W4415689334 sur OpenAlexaff
Olha Yezhova, Т. В. Барышок, Polina Timchenko, Oksana Baran, Antonina Kumka, Inna Ivanenko, Kateryna Tymruk-Skoropad

Notice bibliographique

RevueEastern Ukrainian Medical Journal · 2025
Typearticle
Langue
DomaineMedicine
ThématiqueMusculoskeletal Disorders and Rehabilitation
Établissements canadiensHamilton Health Sciences
Organismes subventionnairesnon disponible
Mots-clésGeneral partnershipRehabilitationChristian ministryProfessional developmentProgram evaluationQuestionnaire

Résumé

récupéré en direct d'OpenAlex

Objective of the study was to analyse the results of applying a responsible approach to the development of rehabilitation education through partnership and collaboration within the framework of the Ukrainian-Swiss initiative «Rehabilitation of War Trauma in Ukraine » (RWT). Methods. The scientific study employed theoretical, empirical, and statistical methods. A survey of physical therapists and university faculty members was conducted using a specially designed questionnaire consisting of three sections: general, for participants, and for prospective participants of the RWT initiative events. The survey involved 120 respondents from different regions of the country, 82.5% of whom had participated in educational activities of the initiative. Results. The main goal of the RWT initiative’s «Strengthening Rehabilitation Education» direction is to achieve positive, sustainable, and systemic changes through education, leading to an overall improvement in the rehabilitation system. This goal is ensured by the consistent development of interconnected activities that form the foundation for future initiatives, the implementation of integrated solutions, and the expansion of cooperation through partnerships and collaborations with partners and stakeholders who share common values. The «Strengthening Rehabilitation Education» direction primarily focused on the development of undergraduate education and continuous professional development for both rehabilitation specialists and university educators. Within the framework of the Ukrainian-Swiss initiative, educational and methodological support was developed for five educational components for the «Therapy and Rehabilitation» specialty; a series of webinars by the Ministry of Health of Ukraine was conducted; and various training sessions on different topics were developed and implemented. The survey results indicated that most respondents attended training sessions and courses on rehabilitation management. Over 34% of respondents had experience participating in national professional community events such as congresses and/or conferences. Specialized educational programs involved 26.7% of respondents, while training sessions on management and communication in rehabilitation engaged 17.8%. Events aimed at professional community development were attended by 8.9% of respondents. The quality of events was rated as «excellent» by 83% of respondents and «very good» by 15.2%, with 53.8% considering the content relevant and useful. The key advantages highlighted by participants included the professionalism and high level of speakers (28.6%), opportunities for experience exchange and effective communication (25.3%), and hands-on skill development (24.2%). Conclusions. The application of a responsible approach through collaboration and partnership within the Ukrainian-Swiss RWT initiative has yielded results that have continued systemic changes in domestic rehabilitation education. It has been proven that effective forms of collaboration include the creation of working groups consisting of physical therapists and university faculty to achieve specific objectives, consultation and training with leading international experts, and the implementation of various educational activities. Additionally, international initiatives and projects have been identified as effective forms of partnership.

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 distillée sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,008
score de la tête « metaresearch » (Gemma)0,021
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,766
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

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

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.

Tête enseignante Opus0,012
Tête enseignante GPT0,318
Écart entre enseignants0,306 · 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 tête enseignante, pas un consensus.

Devis d'étudeObservationnel
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

Explorer davantage

Même revueEastern Ukrainian Medical JournalMême sujetMusculoskeletal Disorders and RehabilitationTravaux en français237 207