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Record W2071912879 · doi:10.3928/15394492-20091022-01

Predictors of Research Utilization among Pediatric Occupational Therapists

2009· article· en· W2071912879 on OpenAlexaboutno aff
Ted Brown, Mei‐Hui Tseng, Rachael McDonald, Carissa Lyons

Bibliographic record

VenueOTJR Occupational Therapy Journal of Research · 2009
Typearticle
Languageen
FieldHealth Professions
TopicHealth Sciences Research and Education
Canadian institutionsnot available
Fundersnot available
KeywordsOccupational therapyScale (ratio)MedicineSurvey researchFamily medicineClinical psychologyPsychologyNursingApplied psychologyPhysical therapy

Abstract

fetched live from OpenAlex

Evidence-based practice and research utilization activities by clinicians enable clients to receive the best, most current health care available. This study investigated the factors predicting pediatric occupational therapists' attitudes toward evidence-based practice and research utilization in Australia, the United Kingdom, and Taiwan. Questionnaires were received from 696 participants (response rate = 56.58%) who completed the Edmonton Research Orientation Survey (EROS), the Research Knowledge, Attitudes and Practices of Research Survey (KAP Survey), and the Barriers to Research Utilization Scale (BARRIERS). The results of the multiple linear regression analysis indicated the strongest predictor of research utilization was “level of academic occupational therapy qualification,” which was found to be predictive of all of the EROS subscales. The second EROS subscale, “research involvement,” had the largest number of predictive factors. To increase research utilization among pediatric occupational therapists, it is important to be mindful of which aspects of research require improvement so that strategies with the greatest impact and influence can be implemented.

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)0.030
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.056
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0300.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0020.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.565
GPT teacher head0.642
Teacher spread0.076 · 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

Citations12
Published2009
Admission routes1
Has abstractyes

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