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Record W3006426427 · doi:10.1111/1440-1630.12649

Reasons for and outcome of occupational therapy consultation and treatment in the context of multidisciplinary cancer rehabilitation; a historical cohort study

2020· article· en· W3006426427 on OpenAlexaboutno aff
Corine Rijpkema, Saskia F. A. Duijts, Martijn M. Stuiver

Bibliographic record

VenueAustralian Occupational Therapy Journal · 2020
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsnot available
Fundersnot available
KeywordsOccupational therapyRehabilitationContext (archaeology)Multidisciplinary approachMedicinePhysical therapyPsychological interventionInternational Classification of Functioning, Disability and HealthConfidence intervalNursingInternal medicine

Abstract

fetched live from OpenAlex

INTRODUCTION: The aim of this study was to investigate reasons why people consulted an occupational therapist following cancer treatment, and to examine the outcome of occupational therapy interventions, in the context of multidisciplinary rehabilitation. METHODS: Data from 181 patients were collected retrospectively. The International Classification of Human Functioning and Health (ICF) was used to describe the reasons for occupational therapy consultation. Patients had completed the Canadian Occupational Performance Measurement (COPM) before and after the occupational therapy intervention. Change scores were calculated with a 95% confidence interval and a two-sided p-value obtained from a paired t-test. RESULTS: The reasons for occupational therapy consultation were predominantly within the ICF domain "Activities and Participation". On average, patients improved 3.0 points (95% CI 2.8-3.2) on the performance scale of the COPM, and 3.4 points (95% CI 3.2-3.7) on the satisfaction scale (both: p = <.001). CONCLUSION: The result of this study supports the added value of occupational therapy to cancer rehabilitation, and emphasise the positive effect of occupational therapy on everyday functioning. Controlled clinical studies are needed to strengthen the evidence.

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)0.002
metaresearch head score (Gemma)0.001
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 score0.016
Threshold uncertainty score0.478

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
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 head0.376
GPT teacher head0.552
Teacher spread0.175 · 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

Citations8
Published2020
Admission routes1
Has abstractyes

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