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Record W3092596275 · doi:10.1177/0009922820964457

Parents’ Experiences and Information Needs While Caring for a Child With Functional Constipation: A Systematic Review

2020· review· en· W3092596275 on OpenAlexafffund
Alison P Thompson, Eytan Wine, Shannon E. MacDonald, Alyson Campbell, Shannon D. Scott

Bibliographic record

VenueClinical Pediatrics · 2020
Typereview
Languageen
FieldMedicine
TopicGastrointestinal motility and disorders
Canadian institutionsUniversity of Alberta
FundersNetworks of Centres of Excellence of CanadaCanadian Institutes of Health ResearchWomen and Children's Health Research Institute
KeywordsMedicineMisinformationPsychological interventionInclusion (mineral)Qualitative researchHealth careConstipationFunctional constipationNursingFamily medicinePsychologySocial psychology

Abstract

fetched live from OpenAlex

Pediatric functional constipation (FC) reportedly affects at least 1 in 10 children worldwide. Parent and family education is a key component for successful treatment, yet there is little research exploring what information families need and how to best support them. The aim of this review is to synthesize current evidence on the experiences and information needs of parents caring for a child with FC. We systematically searched published research and completed screening against a priori inclusion criteria. Thirteen studies (n = 10 quantitative, n = 3 qualitative) were included. We found 2 main themes, precarious footing and profound and pervasive effects. Heavy caregiving burdens fueled doubts, misinformation, relationship breakdown, and treatment deviation. In light of clinical recommendations, our findings reveal a potential mismatch between parents' needs and care provision for FC. It is likely that both parents and health care providers would benefit from resources and interventions to improve care related to pediatric FC.

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)0.021
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.008
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.021
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0060.007
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.001
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 head0.094
GPT teacher head0.356
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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

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

Citations25
Published2020
Admission routes2
Has abstractyes

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