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Record W2142360113 · doi:10.1002/eat.22276

Clinician adherence to guidelines in the delivery of family‐based therapy for eating disorders

2014· article· en· W2142360113 on OpenAlexaff
Stacey Kosmerly, Glenn Waller, Adèle Lafrance Robinson

Bibliographic record

VenueInternational Journal of Eating Disorders · 2014
Typearticle
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsLaurentian University
Fundersnot available
KeywordsEating disordersMedicineAnxietyFamily therapyProtocol (science)HomogeneousPsychotherapistPsychiatryClinical psychologyAlternative medicinePsychology

Abstract

fetched live from OpenAlex

OBJECTIVE: Clinicians have been shown to drift away from protocol in their delivery of evidence-based treatments. This study explores this phenomenon in the delivery of family-based therapy (FBT) for eating disorders, and the clinician characteristics that might explain such therapist drift. METHOD: The participants were 117 clinicians who reported using FBT for eating disorders. They completed an online survey, which included questions relating to clinician characteristics, caseload, and reported use of FBT manuals and core therapeutic tasks, as well as a measure of anxiety. RESULTS: The use of core FBT tasks was higher than for other therapies, but there were still noteworthy gaps between recommended and reported practice. Approximately a third of clinicians reported delivering "FBT" that deviated very substantially from evidence-based protocols, often appearing to be on an individual therapy basis. Using an FBT manual to guide treatment delivery was associated with greater adherence to recommended techniques. Clinician caseload and anxiety were associated with differences in the use of specific FBT tasks. DISCUSSION: Consistent with previous research regarding clinicians' use of other therapies, the delivery of FBT for the eating disorders is not homogeneous. CONCLUSION: Further investigation of this phenomenon is needed to determine the impact of deviating from treatment protocols on the effectiveness of FBT for the eating disorders.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.370
Threshold uncertainty score0.593

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.077
GPT teacher head0.427
Teacher spread0.350 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations84
Published2014
Admission routes1
Has abstractyes

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