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Record W4385658782 · doi:10.1080/13561820.2023.2241519

Rehabilitation professions’ core competencies for entry-level professionals: a thematic analysis

2023· article· en· W4385658782 on OpenAlexaff
Nicole Beamish, Cheryl Footer, Rachael Lowe, Shala Cunningham

Bibliographic record

VenueJournal of Interprofessional Care · 2023
Typearticle
Languageen
FieldHealth Professions
TopicInterprofessional Education and Collaboration
Canadian institutionsQueen's University
Fundersnot available
KeywordsThematic analysisRehabilitationCompetence (human resources)Core competencyMedical educationOccupational therapyNursingEntry LevelHealth carePsychologyMedicineQualitative researchPhysical therapy

Abstract

fetched live from OpenAlex

Rehabilitation services are essential interventions designed to optimize functioning and reduce disability in individuals with health conditions. Eight core professions offer rehabilitation services: audiology, occupational therapy, physical and rehabilitation medicine, physiotherapy, psychology, prosthetics and orthotics, rehabilitation nursing, and speech-language pathology. These professions often work together to provide patient-centered care. Each rehabilitation profession has developed its own international or national document to describe entry-level competencies. However, it is not evident in the literature whether rehabilitation professions share the same core competencies. Therefore, we explored the international standards for rehabilitation professions to identify commonalities and differences in entry-level professionals' required core competencies. A thematic analysis of current, published, international, or national entry-level competencies documents was conducted to determine commonalities and differences in the core competence requirements for the eight rehabilitation professions. The following four themes were evident across all professions: (a) evidence-based clinical practice knowledge and skills; (b) culturally competent communication and collaboration; (c) professional reasoning and behaviors; and (d) interprofessional collaboration. This thematic analysis highlighted the commonalities among rehabilitation professionals and may be used to provide a greater understanding of how rehabilitation professionals can support and work together on interprofessional teams.

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)0.003
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.632
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.489
Teacher spread0.407 · 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 designQualitative
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

Citations16
Published2023
Admission routes1
Has abstractyes

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