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Record W1975137508 · doi:10.1111/petr.12368

A struggle to survive: The experience of awaiting pediatric heart transplantation

2014· article· en· W1975137508 on OpenAlexafffund
Samantha J. Anthony, David Nicholas, Cheryl Regehr, Lori J. West

Bibliographic record

VenuePediatric Transplantation · 2014
Typearticle
Languageen
FieldHealth Professions
TopicAdolescent and Pediatric Healthcare
Canadian institutionsUniversity of TorontoUniversity of AlbertaUniversity of CalgaryHospital for Sick Children
FundersCanadian Institutes of Health ResearchHospital for Sick Children
KeywordsBiopsychosocial modelMedicineGrounded theoryTransplantationQualitative researchLethargyHeart transplantationPsychiatrySurgery

Abstract

fetched live from OpenAlex

Despite the establishment of heart transplantation as a life-saving therapy for children and adolescents, little research has focused on the biopsychosocial impact of the transplant process. Few studies have captured the subjective experiences of young heart transplant recipients. This study examined the experiences and perspectives of children and adolescents during the pretransplant phase of waiting for a donor organ. Grounded theory methods guided data collection and analysis. A total of 27 adolescents participated in semistructured qualitative interviews. Findings illuminate the waiting period for pediatric heart transplantation to be a pervasive experience, with consequent impact on physical, psychological, and social well-being. Participants described various biopsychosocial processes and experiences that occurred during this time, with data analysis yielding themes reflecting notions of "struggling to survive," including physical limitations, lethargy, social isolation, discomfort with physical appearance, and academic issues. This research identifies the pretransplant experience as a period framed within a text of debilitation and negative self-perceptions related to health and well-being. Supporting children and their families as they navigate this complex and uncertain journey is merited, and results invite further interventional development and 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 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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.035
Threshold uncertainty score0.744

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.043
GPT teacher head0.383
Teacher spread0.340 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations8
Published2014
Admission routes2
Has abstractyes

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