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Record W3115500401 · doi:10.1002/ncp.10603

Transitioning From Nasogastric Feeding Tube to Gastrostomy Tube in Pediatric Patients: A Survey on Decision‐Making and Practice

2020· article· en· W3115500401 on OpenAlexaffabout
Ruba A. Abdelhadi, Gina Rempel, Wednesday Marie A. Sevilla, Justine Turner, Julie Quet, Audra Nelson, Katina Rahe, Rebecca Wilhelm, Julie Larocque, Peggi Guenter

Bibliographic record

VenueNutrition in Clinical Practice · 2020
Typearticle
Languageen
FieldNursing
TopicClinical Nutrition and Gastroenterology
Canadian institutionsUniversity of AlbertaChildren's Hospital of Eastern OntarioHealth Sciences CentreManitoba Health
Fundersnot available
KeywordsMedicineGastrostomyFeeding tubeGastrostomy tubeParenteral nutritionEnteral administrationFamily medicineClinical PracticeNursingIntensive care medicineSurgery

Abstract

fetched live from OpenAlex

BACKGROUND: Tube feeding via nasogastric tubes (NGTs) and gastrostomy tubes (GTs) is a common practice for children unable to meet their nutrition needs by oral feeding alone. There is currently a lack of evidence-based guidance specific for the process of transitioning from an NGT to GT as a longer-term enteral access device. Uncertainty in the literature about feeding tube choices, practices, and transitions requires clinicians to draw on incomplete and sometimes conflicting evidence, personal experience, economic realities, and compassion to deliver supportive child-centered care. METHODS: The ASPEN Enteral Nutrition Task Force Pediatric Work Group designed a survey to explore current practice of enteral access device safety and use among pediatric clinicians practicing in the US and Canada. The survey aimed to define time frames, parameters, and decision points to guide clinicians and families in the transition from NG to GT feeding. RESULTS: 258 clinicians, 55% practicing in an inpatient setting, 17% in-home patient setting, and 28% practicing in both inpatient and outpatient setting. 22% were physicians, 42% were dietitians, 32% were nurses or advanced practice nurses, 2% were pharmacists. The most common feeding tubes used were NGTs followed by GTs. Majority of respondents indicated that they did not have a specific timeline for when an NGT should be changed to a GT. Highest ranked patient factors or clinical considerations prior to recommending changing from an NGT to a GT were exceeding the duration for temporary feeding or the need for an extended duration of tube feeding. Highest physician barriers to GT placement were the reluctance for referral from primary care doctors for GT placement. Majority of respondents reported the use of NGTs for enteral access at home and that parents were taught how to place the NGTs for home use but without consistently being taught the use of pH paper to verify NGT tip location or being provided with the pH paper to perform this task at home. CONCLUSIONS: This survey is the first step to address the knowledge gap surrounding feeding tube choices by ascertaining the current standard of practice regarding enteral access devices and appropriate timing of transitioning from NGT to GT feeding. The results highlight current practice variability and concerns. Information from the survey was used to formulate a decision tree to guide the transition of NGT to GT feeding that nutrition support professionals can use to advocate for best practices in their hospital and community settings.

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)0.011
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 score0.015
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.076
GPT teacher head0.413
Teacher spread0.337 · 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

Citations22
Published2020
Admission routes2
Has abstractyes

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