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Record W7163995420 · doi:10.82465/157

Informing the development of an evidence-based, internet-delivered program for siblings of children and adolescents with congenital heart disease: A qualitative study

2025· other· en· W7163995420 on OpenAlexfundaboutno aff
Amanda Mae Oliver

Bibliographic record

VenueOpen MIND · 2025
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of CanadaUniversity of Regina
KeywordsSiblingThematic analysisQualitative researchHeart diseaseHealth careDiseaseDescriptive researchService (business)

Abstract

fetched live from OpenAlex

Congenital heart disease (CHD) is one of today’s leading birth anomalies, with an estimated 90,000 Canadian families having a child or adolescent family member living with CHD. Children with CHD are at risk for many physical and psychological challenges. Siblings of children and adolescents with CHD experience higher levels of psychological symptoms, functional difficulties, and family dysfunction than those without a sibling with CHD. However, limited to no evidence-based resources or programs exist to support these siblings. A chronic disease management program, the Children’s Healthy-Heart Activity Monitoring Program in Saskatchewan (CHAMPS), has been developed to address the well-being of youth with CHD; however, the program is not designed to support siblings. The purpose of the current study was to explore the lived experiences, and information and service needs, of healthy siblings of youth with CHD from multiple vantage points (i.e., siblings, parents, health care providers). Interviews were completed with five siblings of children and adolescents with CHD (Mage = 14.8, SD = 4.60), six parents (Mage = 36.80, SD = 1.64), and three health care providers (Mage = 38.67, SD = 10.21). Family participants were recruited from the Department of Pediatric Cardiology at the Jim Pattison Children’s Hospital and health care providers were recruited by the research team. Semi-structured interviews ranging from 30 to 60 minutes in length were conducted with participants. Interview questions focused on participant experiences, and information and service needs of healthy siblings. Thematic content analysis was used to analyze the data collected for each participant group. Seven major themes were uncovered for both sibling and parent groups with slight variations for two main themes: 1) emotions, 2) mental health or mental health challenges, 3) coping or coping strategies, 4) familial impact, 5) challenges related to siblings’ health care needs, 6) supports needed, and 7) program perceptions. Six main themes were uncovered from health care provider responses: 1) emotions, 2) mental health challenges, 3) familial impact, 4) challenges related to siblings’ health care needs, 5) supports needed, and 6) program perceptions. The findings demonstrate the unique lived experiences and needs of healthy siblings of youth with CHD. In particular, these findings highlight the challenges experienced by healthy siblings and their families. The results bring attention to the need for effective supports for healthy siblings of youth with CHD. Information obtained in the present study provides support for the need and development of an evidence-based, Internet-delivered mental wellness and health promotion program for siblings of children and adolescents with CHD. Keywords: siblings, congenital heart disease, qualitative research, Internet program, psychopathology, children, adolescents

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)0.018
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 score0.089

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0170.018
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0070.006
Scholarly communication0.0020.003
Open science0.0020.005
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.051
GPT teacher head0.385
Teacher spread0.334 · 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
Published2025
Admission routes2
Has abstractyes

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