Overview of international naturopathic practice and patient characteristics: results from a cross-sectional study in 14 countries
Bibliographic record
Abstract
BACKGROUND: Naturopathy is a distinct system of traditional and complementary medicine recognized by the World Health Organization and defined by its philosophic approach to patient care, rather than the treatments used by practitioners. Worldwide, over 98 countries have practicing naturopaths, representing 36% of all countries and every world region. The contributions of naturopaths to healthcare delivery services internationally has not been previously examined. Thus, the primary intention of this research was to conduct an international survey of naturopathic practice and patient characteristics in order to gain insight to the breadth of their practices and the type of clinical conditions routinely encountered. METHODS: The cross-sectional study was conducted in naturopathic clinics in 14 countries within 4 world regions including the European (Portugal, United Kingdom, Switzerland, Spain), Americas (Canada, United States, Chile, Brazil), Western Pacific (Hong Kong, Australia, New Zealand) and African (South Africa). Naturopathic practitioners in each country were invited to prospectively complete an online survey for 20 consecutive cases. The survey was administered in four languages. RESULTS: A total of 56 naturopaths from 14 countries participated in the study, providing a mean of 15.1 cases each (SD 7.6) and 851 cases in total. Most patients were female (72.6%) and all age categories were represented with a similar proportion for 36-45 years (20.2%), 46-55 years (19.5%), and 56-65 years (19.3%). A substantial majority (75%) of patients were considered by the participant to be presenting with chronic health conditions. The most prevalent category of health conditions were musculoskeletal (18.5%), gastrointestinal (12.2%), and mental illness (11.0%). The most common treatment categories prescribed or recommended to patients by the participants were dietary changes (60.5%), lifestyle and behaviour changes (56.9%), herbal medicines (54.2%) and nutritional supplements (52.1%). Many patients were known by participants to be receiving care from a general practitioner (43.2%) or a specialist medical practitioner (27.8%). CONCLUSIONS: Naturopathic practitioners provide health care for diverse health conditions in patients in different age groups. The global population would benefit from researchers and policy makers paying closer attention to the potential risks, benefits, challenges and opportunities of the provision of naturopathic care within the community.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".