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Record W2148182455 · doi:10.3109/01942638.2010.523451

Evaluation of an Occupational Therapy Mentorship Program: Effects on Therapists’ Skills and Family-Centered Behavior

2010· article· en· W2148182455 on OpenAlexaff
Gillian King, Cynthia Tam, Linda Fay, Martha Pilkington, Michelle Servais, Hasmik Petrosian

Bibliographic record

VenuePhysical & Occupational Therapy In Pediatrics · 2010
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsThames Valley Children's CentreHolland Bloorview Kids Rehabilitation Hospital
Fundersnot available
KeywordsMentorshipActive listeningOccupational therapyRehabilitationIntervention (counseling)Interpersonal communicationPsychologySocial skillsClinical psychologyMedical educationMedicinePhysical therapyPsychotherapistSocial psychologyPsychiatry

Abstract

fetched live from OpenAlex

There is growing interest in understanding the usefulness of mentorship programs for children's rehabilitation service providers. This evaluation study examined the effects of an occupational therapy mentorship program on the skills and behaviors of 8 new and 17 experienced occupational therapists practicing at a regional children's rehabilitation center. Self- and peer-report measures of family-centered behavior, critical thinking ability, listening/interactive communication skill, and clinical behavior were collected before and after an 11-month facilitated, collaborative group mentorship intervention. Significant pre-post changes associated with intervention were found on 9 of 12 outcome measures, including information provision, respectful treatment, self-confidence, and listening and clinical skill. Changes were not found on the more trait-like variables of open-mindedness, interpersonal sensitivity, and interpersonal skill. Experienced therapists had higher scores than new therapists on most variables, including family-centered behavior, listening skill, and clinical skill. Implications regarding the utility of mentorship programs in children's rehabilitation centers are discussed.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.386
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.176
GPT teacher head0.532
Teacher spread0.356 · 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.

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

Citations27
Published2010
Admission routes1
Has abstractyes

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