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Record W3159639676 · doi:10.1080/13561820.2021.1900801

A pan-Canadian study of registered dietitians’ perceptions and experiences of interprofessional collaboration

2021· article· en· W3159639676 on OpenAlexaffabout
Kathryn Asher, Shelley Doucet, Alison Luke

Bibliographic record

VenueJournal of Interprofessional Care · 2021
Typearticle
Languageen
FieldHealth Professions
TopicDietetics, Nutrition, and Education
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsThematic analysisMedicineNursingInterprofessional educationHealth carePerceptionDescriptive statisticsFamily medicineMedical educationQualitative researchPsychology

Abstract

fetched live from OpenAlex

Little is known about Canadian dietitians’ perceptions and experiences of interprofessional collaboration. To address this knowledge gap, a cross-sectional online survey was administered to registered dietitians in Canada. Quantitative data was analyzed in SPSS using descriptive and inferential statistics, while thematic analysis was used for open-text responses. A total of N = 469 registered dietitians representing 10 provinces participated in the study. Results showed a significant difference (p < .001) between the frequency with which dietitians collaborated with other health and social care providers and their desired frequency, with 61.0% indicating they wanted more frequent collaboration. A majority of dietitians (59.2%) had negative views of interprofessional interactions. Nearly all respondents felt there is a need to raise better awareness about the dietetic profession (95.4%) and that dietitians are underutilized in the world of healthcare (92.5%). On three measures, a majority of participants (ranging from 65.6% to 81.5%) reported that their dietetic training helped equip them for interprofessional collaboration. Insufficient time/availability was the obstacle to interprofessional collaboration cited most frequently by dietitians. Results suggest that interprofessional collaboration is an area in need of attention in the Canadian dietetic profession, as well as with health and social care providers who work with dietitians. The study’s findings point to potential areas for improvement.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.129
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.049
GPT teacher head0.434
Teacher spread0.385 · 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.

Study designQualitative
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

Citations7
Published2021
Admission routes2
Has abstractyes

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