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Record W2331525268 · doi:10.2182/cjot.2011.78.1.3

A Systematic Review of Interventions to Improve Handwriting

2011· review· en· W2331525268 on OpenAlexaffvenue
Monica M. P. Hoy, Mary Egan, Katya Feder

Bibliographic record

VenueCanadian Journal of Occupational Therapy · 2011
Typereview
Languageen
FieldSocial Sciences
TopicWriting and Handwriting Education
Canadian institutionsUniversité de MontréalUniversity of Ottawa
Fundersnot available
KeywordsHandwritingPsychological interventionOccupational therapyPsychologyRandomized controlled trialReferralPhysical medicine and rehabilitationSystematic reviewPhysical therapyMedicineMEDLINEComputer scienceFamily medicinePsychiatryArtificial intelligenceSurgery

Abstract

fetched live from OpenAlex

BACKGROUND: Handwriting difficulties are among the most common reasons for referral of children to occupational therapy. PURPOSE: To determine the effectiveness of handwriting interventions. METHODS: A systematic review was carried out. Included studies were randomized or nonrandomized controlled trials of interventions that could be used by an occupational therapist to improve written output (printing or writing) among school-aged children identified as having difficulties with handwriting. Electronic searches of relevant databases were conducted up to January 2010. FINDINGS: Eleven studies met the inclusion criteria. These studies tested (1) relaxation and practice with or without EMG, (2) sensory-based training without handwriting practice, and (3) handwriting-based practice (including sensory-focused or cognitive focused handwriting practice). Regardless of treatment type, interventions that did not include handwriting practice and those that included less than 20 practice sessions were ineffective. IMPLICATIONS: Effective occupational therapy for improving handwriting must include adequate handwriting practice.

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)0.008
metaresearch head score (Gemma)0.035
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.012
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.035
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0090.006
Bibliometrics0.0110.010
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.286
GPT teacher head0.488
Teacher spread0.202 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations166
Published2011
Admission routes2
Has abstractyes

Explore more

Same venueCanadian Journal of Occupational TherapySame topicWriting and Handwriting EducationFrench-language works237,207