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Record W2141326354

Complementary therapy use by cancer patients. Physicians' perceptions, attitudes, and ideas.

2004· article· en· W2141326354 on OpenAlexaffabout
Maeve O’Beirne, Marja J. Verhoef, Elan Paluck, Carol P. Herbert

Bibliographic record

VenuePubMed · 2004
Typearticle
Languageen
FieldMedicine
TopicComplementary and Alternative Medicine Studies
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsFocus groupMedicineFamily medicineAlternative medicinePerceptionComplementary therapyQualitative researchComplementary medicinePsychologyPathology
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE: To explore family physicians' perceptions of their cancer patients' use of complementary therapy. DESIGN: Qualitative pilot study. SETTING: British Columbia and Alberta. PARTICIPANTS: Rural and urban family physicians. METHOD: Five focus groups were conducted with a total of 28 participants. Content analysis of focus group transcripts. MAIN FINDINGS: Eight themes were identified: definition of complementary therapies, importance of holistic health, role of evidence, attitudes toward complementary therapies, perceptions of cancer patients' use of complementary therapies, patient-physician communication, perceptions of family physicians' role with respect to complementary therapies, and concerns about complementary therapies. Family physicians believed that many of their patients were using complementary therapies and that patients and physicians needed to communicate about this practice. CONCLUSION: The study increased understanding of physicians'perspectives on communication about complementary therapies and exposed issues that need to be addressed through education and research.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.166
Threshold uncertainty score0.501

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 studies0.0000.000
Scholarly communication0.0000.000
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 head0.042
GPT teacher head0.308
Teacher spread0.266 · 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

Citations32
Published2004
Admission routes2
Has abstractyes

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