Naturopathic Workforce: A Global Resource Toward the <i>Declaration of Astana</i> Goals—A Multimethods Study
Bibliographic record
Abstract
Introduction:The World Health Organization identified health to be the most important social goal and the 1978 Declaration of Alma Ata placed primary health care central to its attainment and the UN Sustainable Development Goals (SDGs) as the template. The Astana Declaration called on a change of focus in primary care, from treatment of specific diseases to the prevention and inclusion of both scientific and traditional knowledge. Such objectives require public–private partnerships in providing health care, including traditional and complementary medicine systems such as naturopathy that align. However, there is limited understanding of global regulatory frameworks and officially recognized training for naturopathy. Materials and Methods:This descriptive study employs an adapted mixed-methods explanatory framework to examine naturopathy regulation and education. Analysis merges data arising from a descriptive policy analysis of regulation from 36 countries and survey analysis from 65 naturopathic organizations from 29 countries. Results:Four types of workforce regulation were identified within 107 countries where naturopathy was practiced—statutory registration or occupational licensing, coregulation, negative licensing, and voluntary certification. No form of naturopathic regulation was most common. Higher graduate/postgraduate education and access to a broader range of practices were more frequently reported in countries where naturopathy is statutory regulated. Government audits were more frequently reported where naturopathy was statutory regulated or coregulated. Discussion:Naturopathic philosophy and practice align with primary health care goals outlined in the Declaration of Astana. The naturopathic workforce represents an untapped health care resource with a demonstrated track record of translating these aspirational goals into practice. However, naturopathy remains inconsistently regulated globally, serving as a significant barrier to partnering with other health system actors to attain the health-related SDGs. Workforce regulation for the naturopathic profession offers increased standards, reduced risks, integrative health workforce planning, and assistance to countries toward achieving the promise of the Declaration of Astana.
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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 | 0.007 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".