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Record W2290874839

WAITING FOR A LIVER TRANSPLANT: AN EXPLORATION OF THE LIVED EXPERIENCE OF PATIENTS AND CAREGIVERS IN ATLANTIC CANADA

2014· article· en· W2290874839 on OpenAlexaboutno aff
Bridget Anne Pierce

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicOrgan Transplantation Techniques and Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsLived experienceMedicineGerontologyLiver transplantationPsychologyTransplantationSurgeryPsychotherapist
DOInot available

Abstract

fetched live from OpenAlex

Liver transplantation is the only life-sustaining treatment available for patients with end stage liver disease, however the demand for these organs far exceeds availability. Many psychological, emotional and physical symptoms accompany the wait for a liver transplant. An interpretive phenomenological design was used to explore how patients and caregivers experience waiting for a liver transplant. Seven participants were recruited to take part in semi-structured interviews. Findings revealed that patients and caregivers have an overarching experience of the conundrum of hope. Four core themes were uncovered: Waiting for the Phone Call, Negotiating the Disruption: Redefining Self, Riding the Emotional Roller Coaster of Waiting and The Light at the End of the Tunnel. Findings of this study identify the need for additional psychological supports to be offered to patients and families, enhanced communication between patients and health care providers and the creation of support communities for both patients and caregivers.

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)0.003
metaresearch head score (Gemma)0.008
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 score0.067
Threshold uncertainty score0.483

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
Science and technology studies0.0300.009
Scholarly communication0.0080.002
Open science0.0020.008
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0030.000

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 head0.028
GPT teacher head0.257
Teacher spread0.229 · 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

Citations1
Published2014
Admission routes1
Has abstractno

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