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Record W4407952950 · doi:10.1177/13674935251321531

Having a heart-to-heart: Parents’ experiences preparing their child for a cardiac procedure

2025· article· en· W4407952950 on OpenAlexaff
S. Hay, Jenny O’Neill

Bibliographic record

VenueJournal of Child Health Care · 2025
Typearticle
Languageen
FieldHealth Professions
TopicFamily and Patient Care in Intensive Care Units
Canadian institutionsRoyal Ottawa Mental Health Centre
Fundersnot available
KeywordsThematic analysisHonestyMedicineAnxietyQualitative researchHealth professionalsMedical educationPsychologyNursingFamily medicineHealth carePsychiatrySocial psychology

Abstract

fetched live from OpenAlex

Cardiac procedures can be overwhelming for children and parents, with a lack of literature surrounding how healthcare professionals can assist parents in preparing young children for such procedures. This exploratory descriptive qualitative study sought to understand experiences of parents preparing and supporting their child with congenital heart disease, for an upcoming cardiac procedure. Parents of children, aged between three and eight years old, who had undergone a cardiac procedure at a tertiary paediatric hospital in Australia were invited to participate in an interview. Seven parents were interviewed, with recordings transcribed and analysed using reflexive thematic analysis. Four major themes identified were (1) evolving information needs; (2) anticipating anxiety; (3) honesty when delivering information; and (4) equipping parents with resources. Findings from this study emphasised that support for children prior to cardiac procedures must include empowering parents, as they know their child best. A key component of procedural preparation is helping parents navigate how to translate procedural information into explanations which are relatable and appropriate for their child. The development of interactive, relatable resources would allow parents to continue their child's preparation beyond the preadmission visit.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.127
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.033
GPT teacher head0.399
Teacher spread0.365 · 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 teacher head, not a consensus.

Study designNot applicable
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
Published2025
Admission routes1
Has abstractyes

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