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Record W1849873568 · doi:10.3148/72.4.2011.178

Implementing Nutrition Diagnosis: At a Multisite Health Care Organization

2011· article· en· W1849873568 on OpenAlexaffvenueabout
Holly van Heukelom, Valli Fraser, Jiak-Chin Koh, Kay McQueen, Kara Vogt, Frances Johnson

Bibliographic record

VenueCanadian Journal of Dietetic Practice and Research · 2011
Typearticle
Languageen
FieldHealth Professions
TopicDietetics, Nutrition, and Education
Canadian institutionsProvidence Health Care
Fundersnot available
KeywordsHealth careMedicineMEDLINEPolitical science

Abstract

fetched live from OpenAlex

The American Dietetic Association Nutrition Care Process (NCP) is designed to improve patient care and interdisciplinary communication through the consistent use of standardized nutrition language. Supported by Dietitians of Canada, the NCP has been gaining prominence across Canada. In spring 2009, registered dietitians at Providence Health Care, an academic, multisite health care organization in Vancouver, British Columbia, began using the NCP with a focus on nutrition diagnosis. The success of nutrition diagnosis at Providence Health Care has depended on support from the Clinical Nutrition Department leadership, commitment from the NCP champions, regularly scheduled lunch-and-learn sessions, revised nutrition assessment forms with a section for nutrition diagnosis statements, and the Pocket Guide for International Dietetics & Nutrition Terminology (IDNT) Reference Manual. Audit results from June through August 2010 showed a 92% nutrition diagnosis completion rate for acute-care and long-term care sites within Providence Health Care. Ongoing audits will be used to evaluate the accuracy and quality of nutrition diagnosis statements. This evaluation will allow Providence Health Care dietitians to move forward with nutrition intervention.

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)0.004
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.339
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0030.000
Scholarly communication0.0000.001
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 head0.191
GPT teacher head0.496
Teacher spread0.305 · 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

Citations13
Published2011
Admission routes3
Has abstractyes

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