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Record W3176196913 · doi:10.5195/ijt.2021.6372

The Canadian Occupational Performance Measure: A Feasible Multidisciplinary Outcome Measure for Pediatric Telerehabilitation

2021· article· en· W3176196913 on OpenAlexaboutno aff
Lynn Tanner, Kathy Grinde, Cristin McCormick

Bibliographic record

VenueInternational Journal of Telerehabilitation · 2021
Typearticle
Languageen
FieldMedicine
TopicCerebral Palsy and Movement Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsTelerehabilitationPhysical therapyMedicinePhysical medicine and rehabilitationMeasure (data warehouse)Multidisciplinary approachOccupational therapyHealth careTelemedicineComputer science

Abstract

fetched live from OpenAlex

This study describes the feasibility of using the Canadian Occupational Performance Measure (COPM) as a multidisciplinary outcome measure for pediatric telerehabilitation (TR). The COPM was administered at monthly time points over four months. A follow-up survey was conducted with the therapists to assess clinical utility of the COPM. Seventy-three percent of the children seen in TR > one month had at least two administrations of the COPM. Eighty percent of therapists agreed or strongly agreed that the COPM was easy to use in a reasonable amount of time, helped identify functional goals, could be used with various children with varied diagnoses, and measured functional change. In 37 children, the median clinical change in performance and satisfaction was two points or greater on the COPM over the episode of TR. The COPM is a feasible measure perceived positively by pediatric therapists for TR use.

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)0.004
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 score0.055
Threshold uncertainty score0.805

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
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 head0.033
GPT teacher head0.334
Teacher spread0.301 · 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

Citations14
Published2021
Admission routes1
Has abstractyes

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