Vaccination discourses among chiropractors, naturopaths and homeopaths: A qualitative content analysis of academic literature and Canadian organizational webpages
Bibliographic record
Abstract
Vaccine hesitancy-the reluctance to receive recommended vaccination because of concerns and doubts about vaccines-is recognized as a significant threat to the success of vaccination programs and has been associated with recent major outbreaks of vaccine-preventable diseases. Moreover, the association between complementary and alternative medicine (CAM) use and vaccine hesitancy and/or refusal has been frequently reported in the literature. To date, significant gaps persist in our understanding of contemporary Canadian CAM providers' beliefs regarding vaccination and how socio-professional influences may shape their vaccine-related attitudes and behaviours. To address the latter gap, the current study aims to explore the content of professional guidelines, recommendations and other discourses among CAM providers as they concern vaccination by analyzing both academic, peer-reviewed literature and Canadian organizational webpages prepared by and/or for practicing chiropractors, naturopaths and homeopaths. In the academic literature, we identified a number of complex and diverging views on vaccination that spanned topics of effectiveness; safety; theoretical, empirical, and ethical soundness; political justifiability; and compatibility with CAM philosophy and professional boundaries. However, in its current state the CAM literature cannot be described in broad strokes as being either pro- or anti-vaccination without considering finer areas of disagreement. Compared to the academic literature, which focuses more on the conceptual and evidentiary basis of vaccination, a greater proportion of vaccine-related content on Canadian CAM organizations' webpages seems to be dedicated to offering specific directives and prescriptions to providers. Guidelines and standards of practice address a number of issues, including vaccine administration, counsel, education and marketing. As CAM organizations further evolve in Canada and elsewhere as part of a broader "professionalization" initiative, greater attention will need to be directed at their role in shaping providers' beliefs and practices that both support and undermine vaccine promotion efforts.
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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 | 0.012 | 0.033 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.010 | 0.013 |
| Science and technology studies | 0.012 | 0.011 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| 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".