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Record W268257827 · doi:10.1300/j004v21n02_03

Psychologists perceptions of Occupational Therapy with clients with eating disorders

2005· article· en· W268257827 on OpenAlexvenueno aff
Susan Doyle, Amy Robinson, Marilyn Kane

Bibliographic record

VenueSound Ideas (University of Puget Sound) · 2005
Typearticle
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsnot available
Fundersnot available
KeywordsOccupational therapyEating disordersPsychotherapistPsychologyBulimia nervosaPerceptionClinical psychologyPsychiatry

Abstract

fetched live from OpenAlex

From a review of the literature it appears that occupational therapists (OTs) have been less actively involved in the treatment of clients with eating disorders in the last 10 years. With the job markets changing for OT, it is important to understand the factors influencing therapists' involvement in this area. One factor that may limit the number of therapists working with clients with eating disorders may be the limited understanding of and lack of referrals to OT by psychologists. This study investigates whether psychologists perceive that OTs provide beneficial treatments for clients with eating disorders and if they would refer eating disorder clients to OTs. This study also aims to identify if there are similar treatment models and techniques used by both OTs and psychologists in treating this population.\nSurveys were sent to 75 members of the New York State Psychological Association who had self-identified as treating eating disorders. An effective return rate of 44% was achieved. The results of this study show that psychologists currently use many of the same treatment modalities OTs use with people with eating disorders and view those techniques as beneficial for this population. They would refer to OT for all modalities except assertiveness training. The results also show that psychologists are not aware of OT's role with this population, and, thus, education about OT is needed.

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)0.000
metaresearch head score (Gemma)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.044
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.032
GPT teacher head0.318
Teacher spread0.286 · 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

Citations0
Published2005
Admission routes1
Has abstractyes

Explore more

Same venueSound Ideas (University of Puget Sound)Same topicEating Disorders and BehaviorsFrench-language works237,207