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306.6: Parent perspectives about the potential for and process of infant organ donation: Preliminary findings from a co-designed qualitative study.

2025· article· en· W4416839238 on OpenAlexaffabout
Julia St Louis, Jennifer Woolfsmith, Amy Wright, Sonny Dhanani, Charles Keown‐Stoneman, Kimberley Widger

Bibliographic record

VenueTransplantation · 2025
Typearticle
Languageen
FieldMedicine
TopicOrgan Donation and Transplantation
Canadian institutionsPublic Health OntarioUniversity of TorontoChildren's Hospital of Eastern OntarioHospital for Sick ChildrenUniversity of Ottawa
Fundersnot available
KeywordsProcess (computing)Qualitative researchMEDLINEQualitative analysis

Abstract

fetched live from OpenAlex

Introduction: Despite the potential to shorten waitlists for life-saving transplants, infant organ donation is rare globally. Infant donors (less than one year of age) can reduce waitlist mortality for both infants and children who require size-matched organs like hearts and lungs, and adults who can receive kidney transplants from infant donors. Infants can donate their organs after death by circulatory criteria (DDCC) if the death follows the withdrawal of life-sustaining measures (WLSM). However, donation rates are very low and providers rarely offer organ donation to families facing the death of their infant. However, providers have reported concerns about how to introduce the topic of organ donation without causing additional distress to the family. Understanding bereaved parents’ perspectives on infant organ donation and how this option could be discussed with them is an important first step in guiding practice, but no studies have explored parent perspectives on infant DDCC. Understanding these perspectives is essential to improving family-centred care and donation counselling practices. Method: This study is an ongoing is an interpretive description study to explore parent perspectives on infant organ donation and the process of DDCC in NICUs and PICUs. This study has been co-designed with two parent partners. Parent partners (DJ and JW) have contributed substantially to defining the goals and research questions, designing appropriate recruitment strategies, writing the interview guide, and conducting member checking of findings. We are conducting individual, semi-structured interviews with parents of an infant who has died after a planned WLSM about their perspectives about the potential for and process of infant DDCC. Data analysis is an iterative and evolving process involving in vivo and then axial coding, merging codes into categories and categories into higher-level themes. Results: Parent partners have contributed meaningfully to the design of the study. Preliminary results from interviews will be available by the time of the conference. Conclusion: This co-designed interpretive description study seeks to illuminate bereaved parent perspectives on infant organ donation and the process of DDCC. By involving parent partners throughout, the study prioritizes family-centered research. Findings will inform donation counseling practices and policies that align more closely with family needs and values in NICU and PICU settings. The collaborative approach offers a model for meaningful parent engagement in sensitive pediatric research. Canadian Institutes for Health Research.

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)0.021
metaresearch head score (Gemma)0.034
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 score0.021
Threshold uncertainty score0.114

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0210.034
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0060.005
Scholarly communication0.0040.005
Open science0.0020.004
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0050.001

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 head0.017
GPT teacher head0.355
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 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".

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Citations0
Published2025
Admission routes2
Has abstractyes

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