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Record W3111271975 · doi:10.12927/hcpol.2020.26349

The Ontario Public Does Not Understand the Difference Between Registered Dietitians and Unregulated "Nutritionists”: Results from a Cross-Sectional Mixed Methods Study

2020· article· en· W3111271975 on OpenAlexaffvenueabout
Deanna Veloce, Marley Fisher, Colleen O’Connor, Brenda Hartman, Justine Horne

Bibliographic record

VenueHealthcare policy · 2020
Typearticle
Languageen
FieldHealth Professions
TopicDietetics, Nutrition, and Education
Canadian institutionsLawson Health Research InstituteWestern University
Fundersnot available
KeywordsCross-sectional studyMedicineFamily medicineEnvironmental healthNursing

Abstract

fetched live from OpenAlex

Background: Current Ontario healthcare policy permits anyone to use the title "nutritionist" and practice as a clinician regardless of education and training.The title "dietitian," on the other hand, is protected under the Dietetics Act (1991) for use exclusively by individuals who undergo rigorous education and training in evidence-based nutrition.Objectives: The objectives of this study were to: identify whether the Ontario general public understands the difference between a registered dietitian (RD) and an unregulated "nutritionist;" understand experiences with RDs and "nutritionists;" and determine if the current nutrition landscape arising from gaps in healthcare policy has the potential to harm the public.Methods: A cross-sectional mixed methods survey study was carried out using inductive content analysis, descriptive statistics and chi-square tests.Results: Respondents (n = 402) did not understand the difference between RDs and "nutritionists."Overall, public experiences have been significantly more positive when nutrition information/advice stemmed from an RD.Implications: This study provides justification for proposed legislative amendments to the Dietetics Act (1991) and the Regulated Health Professions Act (1991).These proposed amendments have been detailed in the full-text manuscript. RésuméContexte : La politique de santé actuelle en Ontario permet à quiconque d' utiliser le titre de « nutritionniste » et d' exercer en tant que clinicien, et ce, indépendamment de son éducation et de sa formation.Le titre de « diététiste », quant à lui, est protégé en vertu de la Loi de 1991 sur les diététistes et ne peut être utilisé que par des personnes qui ont reçu une éducation et une formation rigoureuses en nutrition.Objectifs : L' objectif de cette étude était de déterminer si la population ontarienne comprend la différence entre un diététiste et un « nutritionniste » non réglementé, afin de mieux comprendre l'interaction avec les diététistes et les « nutritionnistes ».L'étude cherchait aussi à déterminer si le paysage nutritionnel actuel, résultant de lacunes dans les politiques de santé, peut être nuisible pour la population.Méthode : Une étude transversale mixte a été réalisée au moyen d' une analyse inductive de contenu, de statistiques descriptives et de tests du chi carré.Résultats : Les répondants (n = 402) ne comprennent pas la différence entre diététiste et « nutritionniste ».Dans l' ensemble, l' expérience de la population est nettement plus positive lorsque les informations et conseils nutritionnels proviennent d'un diététiste.Répercussions : Cette étude justifie les modifications législatives proposées à la Loi de 1991 sur les diététistes et à la Loi de 1991 sur les professions de la santé réglementées.The Ontario Public Does Not Understand the Difference Between Registered Dietitians and Unregulated "Nutritionists"Longwoods Breakfast Series is an educational session that provides invited chief executives the opportunity to share new ideas, policies and/or best practices with colleagues.Our speakers are CEOs, notable researchers, cabinet ministers, deputies, or leaders from the academic community.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.011
metaresearch head score (Gemma)0.024
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.984
Threshold uncertainty score0.729

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.024
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0040.002
Scholarly communication0.0030.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.387
GPT teacher head0.508
Teacher spread0.120 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations7
Published2020
Admission routes3
Has abstractyes

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