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Record W3006892506 · doi:10.1093/jcag/gwz047.225

A226 CHILD AND PARENT PERCEPTIONS OF FAECAL MICROBIOTA TRANSPLANT (FMT): QUALITATIVE PERSPECTIVES FROM PARTICIPANTS IN A TRIAL OF FMT FOR PEDIATRIC ULCERATIVE COLITIS

2020· article· en· W3006892506 on OpenAlexaffabout
Jelena Popov, Emily Hartung, Lee Hill, Nikhil Pai

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2020
Typearticle
Languageen
FieldMedicine
TopicClostridium difficile and Clostridium perfringens research
Canadian institutionsMcMaster University
Fundersnot available
KeywordsUlcerative colitisMedicineFeelingRandomized controlled trialQualitative researchInternal medicineDiseasePsychology

Abstract

fetched live from OpenAlex

Abstract Background Fecal microbiota transplant (FMT) is being increasingly studied across a range of therapeutic indications, including ulcerative colitis (UC). Pediatric patients may have unique responses to microbiome-based therapeutics, given their younger age, fewer comorbidities, and greater susceptibility to medication-related side effects. Aims We recently conducted the first pilot RCT of FMT in Canada for the treatment of pediatric ulcerative colitis (PediFETCh Trial) and conducted qualitative interviews post-study of participants and their parents. This study aims to describe the experience and perceptions of children who received FMT, and their parents. Methods Patients enrolled in the PediFETCh Trial (ClinicalTrials.gov: NCT02487238) and their parents were invited to participate in face-to-face, semi-structured interviews. Interviews were audiotaped, transcribed, and analyzed using open coding (NVivo 12 Pro). Results 8 patients and 8 parents were interviewed. Our data has been summarized into 4 domains and 11 composite themes (Table 1). Most patients and parents saw FMT as a natural treatment. Pre-treatment, patients were concerned with receiving “someone else’s poo” and physical discomfort, while parents were concerned with transmission of enteric infections or psychiatric diseases. Both felt their decision to pursue FMT was influenced by frustration with previous lack of response to medications and a fear of medication side effects. Post-treatment, most patients and families expressed no concerns over potential future side effects as a result of the FMT, and all patients reported feeling “completely normal”. Patients were split between preferring FMT or medication, with convenience of medication being an important factor, while others favored FMT for its perceived naturality and symptomatic improvements. For most families, natural therapies and diet played an important role in influencing their decision to pursue FMT; however, several parents reported that alternative healthcare practitioners did not support their desire to pursue FMT. Conclusions The study offers valuable insights into pediatric patients’ and parents’ experiences receiving FMT across several themes. Our results suggest a high rate of acceptance and interest in FMT research by pediatric patients and their parents. These findings suggest strategies to improve future delivery of FMT in clinical trials, and should support inclusion of children in FMT-based studies. Funding Agencies Hamilton Health Sciences New Investigator Fund (2015, Spring); Innovation Fund of the Alternative Funding Plan for the Academic Health Sciences Centres of Ontario (HAH-17-002)

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)0.017
metaresearch head score (Gemma)0.028
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.087

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0170.028
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0080.008
Scholarly communication0.0040.004
Open science0.0020.005
Research integrity0.0020.006
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 head0.034
GPT teacher head0.319
Teacher spread0.285 · 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 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

Citations0
Published2020
Admission routes2
Has abstractyes

Explore more

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