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Record W3204046177 · doi:10.54434/candj.91

Evidence-Based Practice Attitudes, Skills, and Usage Among Canadian Naturopathic Doctors: A Summary of the Evidence and Directions for the Future

2021· article· en· W3204046177 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.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCAND Journal · 2021
Typearticle
Languageen
FieldMedicine
TopicComplementary and Alternative Medicine Studies
Canadian institutionsCanadian College of Naturopathic Medicine
Fundersnot available
KeywordsNaturopathyEvidence-based practiceMedicineHealth careEvidence-based medicineFamily medicineClinical PracticePositive attitudeAlternative medicineMedical educationPsychologyNursingSocial psychologyPolitical science

Abstract

fetched live from OpenAlex

Evidence-based practice (EBP) is a framework aimed at facilitating the delivery of best practice care. Despite documented benefits, many health professionals have expressed concerns about EBP. Naturopathic medicine has been cited as being in opposition to EBP; however, this is not supported by the evidence. In a recent cross-sectional Canadian survey of naturopathic doctors, respondents self-reported a moderate to high use of EBP and use of a range of sources of evidence to guide clinical decisions. Evidence-based practice skill was reported to be moderately high, and attitudes were predominantly positive. These findings are consistent with other research undertaken on the topic which has identified a shift towards embracing EBP. Canadian naturopathic doctors have indicated a high level of interest in improving their EBP skills, and we present an upcoming opportunity for skill development.

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)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.233
Threshold uncertainty score0.964

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.040
GPT teacher head0.339
Teacher spread0.299 · 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