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Record W2025782455 · doi:10.3200/bmed.33.2.67-79

Intention to Encourage Complementary and Alternative Medicine Among General Practitioners and Medical Students

2007· article· en· W2025782455 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueBehavioral Medicine · 2007
Typearticle
Languageen
FieldMedicine
TopicComplementary and Alternative Medicine Studies
Canadian institutionsUniversité Laval
FundersCanada Research Chairs
KeywordsAlternative medicineMedical educationPsychologyMedicineFamily medicineClinical psychology

Abstract

fetched live from OpenAlex

The authors' goal was to identify factors explaining intention to encourage a patient to follow complementary and alternative medicine (CAM) treatment among general practitioners (GPs), fourth-year medical students, and residents in family medicine. They surveyed 500 GPs and 904 medical students via a self-administered mailed questionnaire that they based on the Theory of Planned Behavior. Respondents expressed a neutral level of intention to encourage CAM approach. Variables explaining 75% of variance of intention of all participants were: moral norm, beta=0.34, p<.0001; perceived behavioral control, beta=0.29, p<.0001; attitude, beta=0.22, p<.0001; descriptive norm, beta=0.13, p<.0001; and professional status, (GPs, beta=-0.07, p<.0001; residents, beta=-0.07, p<.0001). Facilitating conditions and developing a better perception of control over perceived obstacles could help enhance health-care practitioners' intentions to use CAM. Also, a clear position on the part of the medical community would help to define a professional norm in line with the moral norm.

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), 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 score0.043
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.075
GPT teacher head0.451
Teacher spread0.375 · 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