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Record W2942455219 · doi:10.3148/cjdpr-2019-003

Implementing a Clinical Practice Change: Adopting the Nutrition Care Process

2019· article· en· W2942455219 on OpenAlexaffvenueabout
Andrea J. Carpenter, Jordan Mann, Dianna Yanchis, Alison N. Campbell, Louise Bannister, Laura Vresk

Bibliographic record

VenueCanadian Journal of Dietetic Practice and Research · 2019
Typearticle
Languageen
FieldHealth Professions
TopicDietetics, Nutrition, and Education
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsDocumentationMedicineNutrition EducationMedical educationClinical PracticeNursingPlan (archaeology)Intervention (counseling)Family medicineGerontology

Abstract

fetched live from OpenAlex

The Nutrition Care Process (NCP), created by the Academy of Nutrition and Dietetics, provides a framework that encourages critical thinking and promotes uniform documentation by Registered Dietitians (RD). Additionally, it creates a link between the nutrition assessment, nutrition intervention, and the predicted or actual nutrition outcome. NCP has been integrated into a number of institutions in Canada and internationally. A committee of nonmanagement RDs at the Hospital for Sick Children led the Department of Clinical Dietetics in adopting the NCP. The committee developed and consecutively delivered a tailored education plan to 5 groups of RDs within the department. Additional resources were developed to complement the learning plan. The committee administered informal pre- and post-education surveys to measure outcomes. RDs reported receiving adequate training and felt confident implementing NCP into their practice. Adopting the NCP was well-received and RDs within the department continue to integrate it into their current practice.

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)0.015
metaresearch head score (Gemma)0.018
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.415
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0150.018
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.002
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 head0.304
GPT teacher head0.599
Teacher spread0.295 · 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

Citations12
Published2019
Admission routes3
Has abstractyes

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