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Record W1980332398 · doi:10.1089/acm.2008.0521

Development of an International Questionnaire to Measure Use of Complementary and Alternative Medicine (I-CAM-Q)

2009· article· en· W1980332398 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.

Bibliographic record

VenueThe Journal of Alternative and Complementary Medicine · 2009
Typearticle
Languageen
FieldMedicine
TopicComplementary and Alternative Medicine Studies
Canadian institutionsUniversity of Calgary
FundersNational Center for Complementary and Integrative HealthNational Institutes of HealthNorges ForskningsrådUniversitetet i Tromsø
KeywordsRespondentModalitiesAlternative medicineMedicineFamily medicineHealth careMedical educationPsychologyPathology

Abstract

fetched live from OpenAlex

OBJECTIVES: Existing studies on the use of complementary and alternative medicine (CAM) have produced diverse results regarding the types and prevalence of CAM use due, in part, to variations in the measurement of CAM modalities. A questionnaire that can be adapted for use in a variety of populations will improve CAM utilization measurement. The purposes of this article are to (1) articulate the need for such a common questionnaire; (2) describe the process of questionnaire development; (3) present a model questionnaire with core questions; and (4) suggest standard techniques for adapting the questionnaire to different languages and populations. METHODS: An international workshop sponsored by the National Research Center in Complementary and Alternative Medicine (NAFKAM) of the University of Tromsø, Norway, brought CAM researchers and practitioners together to design an international CAM questionnaire (I-CAM-Q). Existing questionnaires were critiqued, and working groups drafted content for a new questionnaire. A smaller working group completed, tested, and revised this self-administered questionnaire. RESULTS: The questionnaire that was developed contains four sections concerned with visits to health care providers, complementary treatments received from physicians, use of herbal medicine and dietary supplements, and self-help practices. A priori-specified practitioners, therapies, supplements, and practices are included, as well as places for researcher-specified and respondent-specified additions. Core questions are designed to elicit frequency of use, purpose (treatment of acute or chronic conditions, and health maintenance), and satisfaction. A penultimate version underwent pretesting with "think-aloud" techniques to identify problems related to meaning and format. The final questionnaire is presented, with suggestions for testing and translating. CONCLUSIONS: Once validated in English and non-English speaking populations, the I-CAM-Q will provide an opportunity for researchers to gather comparable data in studies conducted in different populations. Such data will increase knowledge about the epidemiology of CAM use and provide the foundation for evidence-based comparisons at an international level.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.677
Threshold uncertainty score0.854

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.129
GPT teacher head0.378
Teacher spread0.249 · 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