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Record W2121025121

Using cognitive behavioural therapy in practice: qualitative study of family physicians' experiences.

2005· article· en· W2121025121 on OpenAlexaffabout
Ellen Wiebe, Michelle Greiver

Bibliographic record

VenuePubMed · 2005
Typearticle
Languageen
FieldHealth Professions
TopicHealth Policy Implementation Science
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsQualitative researchPrimary careSession (web analytics)CognitionPerceptionMedicineFamily medicinePsychologyPsychiatry
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE: To investigate whether family physicians thought they could use cognitive behavioural therapy (CBT) in their practices, and if so, how, and to discover what the barriers to implementation might be. DESIGN: Qualitative study using taped interviews. SETTING: British Columbia and Ontario. PARTICIPANTS: Physicians practising family medicine in a variety of settings who attended an educational session on CBT. METHOD: Six months after participating in a 5-hour seminar on CBT, consenting physicians were interviewed to determine their experiences with using CBT in their practices. The interviews used a semistructured guide and were audiotaped and transcribed verbatim. The constant comparative method of data analysis was used to identify key words and themes. MAIN FINDINGS: Most participants (34 of 42) reported using elements of CBT in their practices. Barriers mentioned by physicians to offering CBT to patients were lack of time, practice distractions and interruptions, and the perception that some patients were not good candidates for CBT. Barriers to patients' accepting or using CBT were preferences for pharmacotherapy and lack of motivation or interest. Physicians could overcome some barriers by using CBT's structure; this reduced the amount of in-office time required and helped them cope with interruptions. They selected specific CBT methods that fit their practices and patients. CONCLUSION: Most participants saw CBT as a useful part of practice and reported implementing it successfully. There were, however, barriers to implementation in primary care. These barriers need to be addressed if CBT is to be taught to primary care physicians and offered in their 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)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.246
Threshold uncertainty score0.658

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
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 integrity0.0000.000
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 head0.809
GPT teacher head0.714
Teacher spread0.094 · 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 designQualitative
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

Citations31
Published2005
Admission routes2
Has abstractyes

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