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Occupational therapy in rehabilitation of complex patients: protocol for a superiority randomized controlled trial

2020· article· en· W6957966709 on OpenAlexaboutno aff

Bibliographic record

VenueFigshare · 2020
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsnot available
Fundersnot available
KeywordsOccupational therapyRehabilitationRandomized controlled trialIntervention (counseling)Protocol (science)Occupational rehabilitation

Abstract

fetched live from OpenAlex

Patient-centered, interprofessional occupational therapy is feasible in complex patients in the early phase of rehabilitation, and it contributes to meet needs in the domains of self-care, productivity, and leisure, promoting social role. We planned this single-center single-blind two-arm parallel individual patient randomized controlled trial, to verify the superiority of interprofessional experimental occupational therapy (EOT) compared to standard rehabilitation (SR) in producing higher levels of patients’ social participation assessed by the Reintegration to Normal Living Index. EOT is a patient-centered, hospital/home-based rehabilitation intervention based on the Canadian Model of Occupational Performance and Engagement. This appropriately powered study will provide evidence regarding the effectiveness of EOT on the recovery of social participation in the critical transition of complex patients from hospital to the home setting.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.031
metaresearch head score (Gemma)0.038
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.090
Threshold uncertainty score0.300

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0310.038
Meta-epidemiology (narrow)0.0080.003
Meta-epidemiology (broad)0.0120.005
Bibliometrics0.0030.004
Science and technology studies0.0040.004
Scholarly communication0.0050.004
Open science0.0030.002
Research integrity0.0080.009
Insufficient payload (model declined to judge)0.0900.013

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 head0.329
GPT teacher head0.540
Teacher spread0.211 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
Domainnot available
GenreProtocol

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

Citations0
Published2020
Admission routes1
Has abstractyes

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