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Record W1971936332 · doi:10.3138/ptc.2010-50

Continuing Education for Advanced Manual and Manipulative Physiotherapists in Canada: A Survey of Perceived Needs

2011· article· en· W1971936332 on OpenAlexaffvenueabout
Joyce Chau, Pamela Chadbourn, Rebecca Hamel, Sherman Mok, Bradley Robles, Lianne Chan, Cheryl Cott, Euson Yeung

Bibliographic record

VenuePhysiotherapy Canada · 2011
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsContinuing educationManual therapyMedicineMedical educationPhysical therapyPhysical medicine and rehabilitationComputer scienceAlternative medicinePathology

Abstract

fetched live from OpenAlex

PURPOSE: Our purpose was to determine advanced manual and manipulative physiotherapists' (AMPTs') current use and awareness of continuing education (CE) opportunities; to establish their perceived CE needs by identifying facilitators and barriers to participation; and to explore the association of demographics with CE needs. METHODS: A questionnaire was e-mailed to 456 registered members of the Canadian Academy of Manipulative Physiotherapy. Data analyses using frequencies and percentages of total responses and t-tests for group comparisons were performed. RESULTS: One hundred thirty-three (29.2%) participants responded. Most lived in an urban region and worked predominantly in direct patient care. More respondents reported engaging in informal CE than in formal CE. Hands-on or practical workshops were the preferred CE format. Common barriers to CE included professional commitments and cost and time of travel; facilitators included interest in the topic and increasing knowledge and competency. AMPTs with less physical therapy experience found cost to be a greater barrier and were more interested in mentorship programs and CE as a means to obtain credentials. CONCLUSIONS: AMPTs' preferred CE formats are inconsistent with the CE opportunities in which they participate. CE initiatives for AMPTs should include hands-on training and should account for time and cost to make CE opportunities more readily available to them.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.192
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.091
GPT teacher head0.438
Teacher spread0.348 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations11
Published2011
Admission routes3
Has abstractyes

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