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Record W3134473835 · doi:10.1093/jcag/gwab002.032

A33 MEALTIME SUPPORT: A PILOT COHORT STUDY OF AN EFFECTIVE, COST-SAVING OUTPATIENT HUNGER-BASED FEEDING PROGRAM FOR TUBE DEPENDENCY

2021· article· en· W3134473835 on OpenAlexaffabout
Geraldine Huynh, A Vishram, C Graham-Parker, Daniel Blatz, Matthew Carroll, Justine Turner

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2021
Typearticle
Languageen
FieldMedicine
TopicChild Nutrition and Feeding Issues
Canadian institutionsStollery Children's HospitalUniversity of Alberta
Fundersnot available
KeywordsMedicineFeeding tubeGastrostomyGastrostomy tubeEnteral administrationMalnutritionPsychosocialPediatricsNursingParenteral nutritionIntensive care medicineSurgery

Abstract

fetched live from OpenAlex

Abstract Background Tube dependency is an under recognized complication of long-term enteral feeding in young children. Many children struggle to progress to full oral feeds even with sufficient oral motor skills and swallowing ability. Tube dependency greatly impacts the quality of life of children and families and is a significant burden to the health care system. Economic challenges, increased burden of care and psychosocial issues all reinforce the need for timely tube removal. Aims 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. As a secondary aim we sought to determine the rates of gastrostomy tube insertions in the pediatric age range across Canada as a potential indicator of increasing need for long term tube feeding, hence the need for cost effective tube weaning programs to be developed in Canada. Methods The ambulatory 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% prior to commencement. Top-up tube feeds were given immediately after feeding sessions if needed. Caregivers completed 12-question subjective surveys pre and post intervention. Micro-costing methods compared costs between the program and ongoing tube feeding. The number of pediatric hospital admissions and gastrostomy tube insertions from 2008–2019, per province, was collected from the Canadian Institute for Health Information (CIHI). Results From 2016 - 2017, 6 children who had been tube fed from 7 to 21 months in total were enrolled and 5 completed the program. At 1-month post intervention, 4/5 of the children were 100% orally fed. Parents reported improvement in mealtime struggles (p-value = 0.005), reduction in worry about their child’s eating (p-value = 0.005) and improvement in their child’s appetite/variety foods eaten (p-value = 0.004). Over a year the potential cost savings were estimated at $42,471.24. By 6-months, all feeding tubes were removed. Based on the CIHI data, the number of gastrostomy tubes inserted per 100,000 children varied significantly between provinces, but highest in Nova Scotia, Saskatchewan and Alberta with increases seen from 2008–2018. Conclusions The transition from tube feeding to oral feeding is difficult for children who are tube dependent and poses several economic and psychosocial challenges. Mealtime Support was safe and successful in reducing tube dependency and cost-effective compared to no intervention or hospital based programs. There is a need to develop and fund Canadian outpatient feeding programs. Funding Agencies The Stollery Children’s Foundation

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.093
Threshold uncertainty score0.186

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.016
GPT teacher head0.288
Teacher spread0.272 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations1
Published2021
Admission routes2
Has abstractyes

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