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Record W1968846854 · doi:10.1177/000841740307000503

Theory of Research Utilization Enhancement: A Model for Occupational Therapy

2003· article· en· W1968846854 on OpenAlexaffvenue
Janet Craik, Susan Rappolt

Bibliographic record

VenueCanadian Journal of Occupational Therapy · 2003
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsOccupational therapyGrounded theoryProcess (computing)PsychologyClinical PracticeMedical educationApplied psychologyQualitative researchMedicineNursingComputer scienceSociology

Abstract

fetched live from OpenAlex

BACKGROUND: There is a pressing need for occupational therapists to provide research-based practice, yet there is little understanding of the specific strategies and processes individual practitioners use to integrate research evidence into their clinical practice. METHOD: Using grounded theory method, the self-reported research utilization strategies of a sample of 11 elite occupational therapists practicing in adult stroke rehabilitation were examined. The triangulation of the interview data, the organizational policies of their workplaces, and existing theoretical concepts and processes of research utilization resulted in the development of a theory and a practice model to guide research utilization in occupational therapy. RESULTS: The Theory of Research Utilization Enhancement for Occupational Therapists, and the Model of Research Utilization in Occupational Therapy are presented, and their implications for practice, policy, education and future research are discussed. PRACTICE IMPLICATIONS: Built upon the Occupational Performance Process Model, the theory and model are proposed as guides to enhance therapists' ability to maintain a client-centred approach while informing clinical practices with research evidence. The application of structured reflection, case application and peer consultation facilitate the integration of research evidence into clinical practices.

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)0.009
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.401
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.718
GPT teacher head0.604
Teacher spread0.114 · 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 designTheoretical or conceptual
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

Citations57
Published2003
Admission routes2
Has abstractyes

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