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Record W2233023020 · doi:10.3109/09638288.2015.1123308

Ethics teaching in rehabilitation: results of a pan-Canadian workshop with occupational and physical therapy educators

2016· article· en· W2233023020 on OpenAlexaffabout
Anne Hudon, Kadija Perreault, Maude Laliberté, Pascal Desrochers, Bryn Williams–Jones, Debbie Ehrmann Feldman, Matthew Hunt, Evelyne Durocher, Barbara Mazer

Bibliographic record

VenueDisability and Rehabilitation · 2016
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsMcGill UniversityUniversité LavalUniversité de MontréalCentre for Interdisciplinary Research in Rehabilitation
Fundersnot available
KeywordsOccupational therapyRehabilitationMedical educationEngineering ethicsPsychologyMedicinePedagogyNursingPhysical therapyEngineering

Abstract

fetched live from OpenAlex

PURPOSE: Ethical practice is an essential competency for occupational and physical therapists. However, rehabilitation educators have few points of reference for choosing appropriate pedagogical and evaluation methods related to ethics. The objectives of this study were to: (1) identify priority content to cover in ethics teaching in occupational therapy (OT) and physical therapy (PT) programmes and (2) explore useful and innovative teaching and evaluation methods. METHOD: Data for this qualitative descriptive study were collected during a 1-d knowledge exchange workshop focused on ethics teaching in rehabilitation. RESULTS: Twenty-three educators from 11 OT and 11 PT Canadian programmes participated in the workshop. They highlighted the importance of teaching foundational theoretical/philosophical approaches and grounding this teaching in concrete examples drawn from rehabilitation practice. A wide range of teaching methods was identified, such as videos, blogs, game-based simulations and role-play. For evaluation, participants used written assignments, exams, objective structured clinical examinations and reflective journals. The inclusion of opportunities for student self-evaluation was viewed as important. CONCLUSION: The CREW Day provided ethics educators the opportunity to share knowledge and begin creating a community of practice. This space for dialogue could be expanded to international rehabilitation ethics educators, to facilitate a broader network for sharing of tacit and experiential knowledge. Implications for Rehabilitation According to the study participants, rehabilitation ethics education should include learning about foundational knowledge related to ethical theory; be grounded in examples and cases drawn from clinical rehabilitation practice; and contribute to building professional competencies such as self-knowledge and critical thinking in students. Regardless of the methods used by occupational therapy (OT) and physical therapy (PT) educators for teaching and evaluation, the value of creating spaces that support open discussion for students (e.g. protected discussion time in class, peer-discussions with the help of a facilitator, use of a web discussion forum) was consistently identified as an important facet. Educators from OT and PT programmes should work with various professionals involved in OT and PT student training across the curricula (e.g. clinical preceptors, other educators) to extend discussions of how ethics can be better integrated into the curriculum outside of sessions specifically focused on ethics. The CREW Day workshop was the first opportunity for Canadian rehabilitation ethics educators to meet and discuss their approaches to teaching and evaluating ethics for OT and PT students. Including international rehabilitation ethics educators in this dialogue could positively expand on this initial dialogue by facilitating the sharing of tacit and experiential knowledge amongst a larger and more diverse group of ethics educators.

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)0.004
metaresearch head score (Gemma)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.070
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.082
GPT teacher head0.473
Teacher spread0.391 · 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

Citations27
Published2016
Admission routes2
Has abstractyes

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