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Record W2969410884 · doi:10.3138/ptc-2018-0077

Physical Rehabilitation Practices for Children and Adolescents with Cancer in Canada

2019· article· en· W2969410884 on OpenAlexaffvenueabout
Paula A. Ospina, Lesley Pritchard, David D. Eisenstat, Margaret L. McNeely

Bibliographic record

VenuePhysiotherapy Canada · 2019
Typearticle
Languageen
FieldMedicine
TopicChildhood Cancer Survivors' Quality of Life
Canadian institutionsUniversity of AlbertaAlberta Cancer FoundationUniversity of Calgary
Fundersnot available
KeywordsRehabilitationMedicinePsychological interventionClinical PracticePhysical therapyFamily medicineNursing

Abstract

fetched live from OpenAlex

Purpose: Children and adolescents with cancer who undergo cancer treatment are at high risk of developing adverse effects, many of which may be amenable to physical rehabilitation. We aimed to identify the current clinical physical rehabilitation practice patterns, services, and programmes available for children and adolescents with cancer in Canada. Method: A cross-sectional survey in English and French was conducted. Participants were health care professionals (HCPs) who provided physical rehabilitation services to children and adolescents with cancer in Canada. The survey included questions on the HCPs’ practice patterns and the programmes and services they provided. Results: A total of 35 HCPs responded: 27 physical therapists (77%), 6 occupational therapists (17%), 1 exercise professional (3%), and 1 speech-language pathologist (3%). Overall, they reported activity limitations, alterations in motor performance, muscle weakness, peripheral neuropathy, and fatigue as the top priorities for rehabilitation services. HCPs believed that interventions were valuable in reducing the burden of cancer effects; however, issues such as space, resources, and lack of clinical practice guidelines were viewed as barriers to providing services. Conclusions: Paediatric oncology rehabilitation services exist in some regions in Canada. HCPs strongly support the need to develop clinical practice guidelines for paediatric oncology rehabilitation.

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 score0.005
Threshold uncertainty score1.000

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 head0.007
GPT teacher head0.305
Teacher spread0.298 · 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

Citations19
Published2019
Admission routes3
Has abstractyes

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