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Record W2761711504 · doi:10.1093/pch/19.6.e35-106

108: Pediatric Patient Family Engagement with Clinical Research

2014· article· en· W2761711504 on OpenAlexaffabout
C. E. G. Gill, MJ Ansermino, Shubhayan Sanatani, Kishore Mulpuri, Quynh Doan

Bibliographic record

VenuePaediatrics & Child Health · 2014
Typearticle
Languageen
FieldMedicine
TopicEthics and Legal Issues in Pediatric Healthcare
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsMedicineFamily medicinePopulationDescriptive researchHealth careDescriptive statisticsNursingEnvironmental health

Abstract

fetched live from OpenAlex

To improve health outcomes and enhance patients' health care experiences, research-based evidence is necessary for the decisions of health care professionals. Undertaking clinical research in the paediatric population, however, presents many unique legal and ethical issues. Children are considered a vulnerable population and as such, numerous methodological challenges arise in relation to their participation in research. Predictably, these difficulties may deter researchers and funding bodies, and have contributed to a dearth of high quality paediatric research. Indeed, <40% of medical decisions have the support of the required level of evidence and <50% of medicines administered during childhood have been formally studied in children. Subject recruitment is essential for conducting clinical research, yet is often perceived as the primary barrier to conducting research in the paediatric population. However, there are very few studies evaluating research uptake in a paediatric setting. The primary objective of this study was to determine how frequently paediatric patients and their families receiving care at a tertiary paediatric hospital participate in research. The secondary objectives were to explore factors that influence patient families' decisions to participate in research and how they perceived their experiences. We conducted a cross sectional study surveying families of children receiving care in a sample of clinical areas at a tertiary care paediatric hospital in the province of British Columbia, Canada. We used a self-administered questionnaire facilitated by trained interviewers. We used descriptive statistics to report the proportion of patient families that have previously been invited to participate in research, and among these, the proportion that had agreed to participate. We also report how patient families perceive research and their past experiences therein. We approached 657 families, of which 543 were enrolled (uptake rate of 82.6%). We found that 26% [95% CI 0.22 to 0.30] had previously been invited to participate in research, and 86.8% (95% CI 0.79 to 0.92) of those respondents had agreed to participate. Only a single family (1.1% [95% CI 0.00 to 0.06]) had a negative experience while previously participating in research, and 80.5% (95% CI 0.77 to 0.84) of all families were at least somewhat likely to participate in research again in the future. Despite the majority of patient families having never been invited previously to participate in research, there is a high rate of participation and willingness to partake again among those who are invited in a paediatric setting.

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)0.020
metaresearch head score (Gemma)0.056
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.980
Threshold uncertainty score0.104

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0200.056
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0050.003
Scholarly communication0.0040.003
Open science0.0010.005
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0110.001

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 head0.136
GPT teacher head0.459
Teacher spread0.323 · 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.

Study designNot applicable
DomainMethods
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

Citations2
Published2014
Admission routes2
Has abstractyes

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