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Record W4408353969 · doi:10.1177/08404704251321133

Exploring registered dietitians’ contributions and educational needs in primary care: Insights for health leaders

2025· article· en· W4408353969 on OpenAlexafffundabout
Isabelle Giroux, Raphaëlle Laroche-Nantel, Joseph R. Murphy, Wendy Madarasz, Mary Anne Smith, Serena Beber, Liana Bailey, Jane Tyerman

Bibliographic record

VenueHealthcare Management Forum · 2025
Typearticle
Languageen
FieldHealth Professions
TopicDietetics, Nutrition, and Education
Canadian institutionsUniversity of TorontoInstitut du Savoir MontfortEast Wellington Family Health TeamHamilton Health SciencesUniversity of Ottawa
FundersEmployment and Social Development CanadaCollege of Family Physicians of Canada
KeywordsPrimary carePrimary health careMedicineHealth careMedical educationNursingFamily medicinePsychologyEnvironmental healthPolitical science

Abstract

fetched live from OpenAlex

Registered Dietitians (RDs) are essential professionals within Canadian Team-Based Primary Care (TBPC). RDs utilize practice competencies to ensure provision of high-quality care while working closely with other TBPC members. To fill in the gaps in the literature, the study's objective was to explore RDs' perception of their contributions to TBPC settings and their educational needs. This will help inform health leaders who manage interdisciplinary teams. A survey was distributed to Canadian TBPC RDs. They (n = 73) reported contributing to nutrition care for various populations, managing a large range of nutrition problems, and using competencies from multiple practice domains. Furthermore, they identified their need to enhance their knowledge about cultural safety within TBPC, as well as their interdisciplinary teams' need to increase their awareness of the dietetic scope of practice. Identifying RDs' contributions, competencies, and learning needs helps inform Canadian health leaders to improve care.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.901
Threshold uncertainty score0.947

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.161
GPT teacher head0.434
Teacher spread0.273 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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".

Quick stats

Citations2
Published2025
Admission routes3
Has abstractyes

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