MétaCan
Menu
Back to cohort

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

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

Bibliographic record

VenueEastern Ukrainian Medical Journal · 2025
Typearticle
Language
FieldMedicine
TopicMusculoskeletal Disorders and Rehabilitation
Canadian institutionsHamilton Health Sciences
Fundersnot available
KeywordsGeneral partnershipRehabilitationChristian ministryProfessional developmentProgram evaluationQuestionnaire

Abstract

fetched live from 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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.021
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.766
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.021
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.012
GPT teacher head0.318
Teacher spread0.306 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueEastern Ukrainian Medical JournalSame topicMusculoskeletal Disorders and RehabilitationFrench-language works237,207