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Record W4210327104 · doi:10.1097/pg9.0000000000000154

Mealtime Support

2022· article· en· W4210327104 on OpenAlexafffundabout
Geraldine Huynh, Alysha Vishram, Carol Graham-Parker, Debbie Blatz, Matthew Carroll, Justine Turner

Bibliographic record

VenueJPGN Reports · 2022
Typearticle
Languageen
FieldMedicine
TopicChild Nutrition and Feeding Issues
Canadian institutionsUniversity of Alberta
FundersWomen and Children's Health Research InstituteChildren's Health Research Institute
KeywordsDependency (UML)Series (stratigraphy)Tube (container)MedicineOperations managementPhysical therapyComputer scienceEngineeringWaste managementArtificial intelligence

Abstract

fetched live from OpenAlex

Background: Tube feeding is essential for children who cannot meet nutritional requirements orally. Over time, this can lead to tube dependency with negative impacts on the quality of life of children and families. Objective: We aimed to examine the efficacy of a multidisciplinary child‐led, hunger‐based approach called “Mealtime Support” at the Stollery Children's Hospital in Edmonton. Nutritional outcomes, parental satisfaction, and cost implications were evaluated over 9 months postprogram completion per child. Methods: The ambulatory meal program was delivered 2–3 times a day, for 2 weeks, by an occupational therapist and dietitian, under medical supervision. Hunger was promoted by reducing tube fed calories by 80% before commencement. Caregivers completed 12‐question subjective surveys pre‐ and postintervention. Microcosting methods compared costs between the program and ongoing tube feeding. Results: From 2016 to 2017, 6 children were enrolled and 5 completed the program. At 1‐month postintervention, 4/5 of the children were 100% orally fed. Parents reported improvement in mealtime struggles ( P = 0.005), reduction in worry about their child's eating ( P = 0.005), and improvement in their child's appetite/variety foods eaten ( P = 0.004). Over 2 years, the potential cost savings were estimated at $43,471.00. By 6 months, all feeding tubes were removed. Conclusions: Mealtime support was safe and successful in reducing tube dependency and cost‐effective compared to no intervention or hospital based programs, which suggests that there is a need to develop and fund Canadian outpatient feeding programs.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.253
Threshold uncertainty score0.990

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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0110.000

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 head0.017
GPT teacher head0.280
Teacher spread0.262 · 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 designNot applicable
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

Citations3
Published2022
Admission routes3
Has abstractyes

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