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Record W2111030213 · doi:10.1177/0309364611412822

An ICF-based education programme in amputation rehabilitation for medical residents in the Netherlands

2011· article· en· W2111030213 on OpenAlexaboutno aff
Jan H. B. Geertzen, G M Rommers, Rienk Dekker

Bibliographic record

VenueProsthetics and Orthotics International · 2011
Typearticle
Languageen
FieldEngineering
TopicProsthetics and Rehabilitation Robotics
Canadian institutionsnot available
Fundersnot available
KeywordsRehabilitationAmputationPhysical therapyMedicinePhysical medicine and rehabilitationArtificial limbsSurgeryProsthesis

Abstract

fetched live from OpenAlex

BACKGROUND AND AIM: Education programmes of the International Society for Prosthetics and Orthotics (ISPO) are directed primarily at prosthetists and orthotists. In a multidisciplinary setting, greater attention should be given to other professionals working in the field of amputation, prosthetics and orthotics. This includes, among others, physiotherapists, occupational therapists and residents and physicians from orthopaedics, vascular surgery and physical medicine and rehabilitation (PM&R). The aim of this paper is to describe the education programme in amputation and prosthetics for residents in PM&R in the Netherlands. The programme is based on concepts of the International Classification on Functioning, Disability and Health (ICF). TECHNIQUE: This narrative paper presents the amputation and prosthetics education programme for residents in PM&R in the Netherlands. The programme is based on two models: the ICF and the Canadian Medical Education Directives for Specialists (CanMEDS). DISCUSSION: ICF core sets for amputation and prosthetics need further development. Subsequently, the application of these core sets can help stimulate the education of residents in PM&R, and other multidisciplinary team members who work in amputation rehabilitation. CLINICAL RELEVANCE: Through this education programme, residents work closely with other team members using the common language of the ICF, enhancing treatment and technical advice in amputee care.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.589
Threshold uncertainty score0.362

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.014
GPT teacher head0.275
Teacher spread0.261 · 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

Citations12
Published2011
Admission routes1
Has abstractyes

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