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Record W3022122804 · doi:10.1016/j.msksp.2020.102174

Advanced musculoskeletal physiotherapy practice: Informing education curricula

2020· review· en· W3022122804 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueMusculoskeletal Science and Practice · 2020
Typereview
Languageen
FieldHealth Professions
TopicNursing Roles and Practices
Canadian institutionsUniversité de Montréal
FundersCanadian Institutes of Health Research
KeywordsCurriculumWorkforceMedicineMedical educationService (business)PsychologyPedagogyPolitical science

Abstract

fetched live from OpenAlex

INTRODUCTION: Physiotherapists are operating at an advanced level of practice, usually on ad hoc basis with inhouse training, in response to the increasing burden of musculoskeletal (MSK) disorders. Discrepancies in role-specific education of advanced practice physiotherapists (APPs) creates challenges in ensuring a quality service, workforce mobility and formal recognition. This study reviewed existing MSK APP competency frameworks and education offerings, and explored physiotherapist learning needs with a view to informing international standardisation of MSK APP education curricula. METHODS: A scoping review of the literature and relevant university and regulatory websites identified APP competency frameworks and education curricula, which were verified by international experts. Content analysis, performed on the identified competencies and modules, produced a list of themes existing in MSK advanced practice internationally. A survey based on those themes identified the learning priorities of physiotherapists (n = 25) participating in an APP symposium in Ireland. RESULTS: Six APP competency frameworks and eleven curricula from the UK, Canada and Australia were identified. Themes emerging, regarding MSK APP practice internationally, included both entry-level physiotherapy (e.g., Assessment and Diagnosis) and traditionally medically-controlled tasks (e.g., Injection Therapy), as well as Research, Leadership, Service Development, Professional-related Matters and Education. Participating physiotherapists more commonly prioritised competencies which would be deemed beyond entry level physiotherapy skills (i.e., Radiology versus Manual Therapy). CONCLUSION: Despite variances in profiles of APPs both between and within countries, common themes emerged regarding their expected competencies and skills. This study provides the foundation for the adoption of internationally-recognised MSK APP competencies and education standards.

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.

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)0.007
metaresearch head score (Gemma)0.024
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.983
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.024
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.003
Science and technology studies0.0030.001
Scholarly communication0.0000.009
Open science0.0010.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0000.001

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 head0.038
GPT teacher head0.525
Teacher spread0.487 · 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