Selling falsehoods? A cross-sectional study of Canadian naturopathy, homeopathy, chiropractic and acupuncture clinic website claims relating to allergy and asthma
Bibliographic record
Abstract
OBJECTIVE: To identify the frequency and qualitative characteristics of marketing claims made by Canadian chiropractors, naturopaths, homeopaths and acupuncturists relating to the diagnosis and treatment of allergy and asthma. DESIGN: Cross-sectional study. SETTING: Canada. DATA SET: 392 chiropractic, naturopathic, homeopathic and acupuncture clinic websites located in 10 of the largest metropolitan areas in Canada, as identified using 400 Google search results. Duplicates were not excluded from data analysis. MAIN OUTCOME MEASURES: Mention of allergy, sensitivity or asthma, claim of ability to diagnose allergy, sensitivity or asthma, claim of ability to treat allergy, sensitivity or asthma, and claim of allergy, sensitivity or asthma treatment efficacy. Tests and treatments promoted were noted as qualitative examples. RESULTS: Naturopath clinic websites have the highest rates of advertising at least one of diagnosis, treatment or efficacy for allergy or sensitivity (85%) and asthma (64%), followed by acupuncturists (68% and 53%, respectively), homeopaths (60% and 54%) and chiropractors (33% and 38%). Search results from Vancouver, British Columbia were most likely to advertise at least one of diagnosis, treatment or efficacy for allergy or sensitivity (72.5%) and asthma (62.5%), and results from London, Ontario were least likely (50% and 40%, respectively). Of the interventions advertised, few are scientifically supported; the majority lack evidence of efficacy, and some are potentially harmful. CONCLUSIONS: The majority of alternative healthcare clinics studied advertised interventions for allergy and asthma. Many offerings are unproven. A policy response may be warranted in order to safeguard the public interest.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.007 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".