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Record W2164930485 · doi:10.1177/1049732309341733

The Experience of Kidney Graft Failure: Patients' Perspectives

2009· article· en· W2164930485 on OpenAlexaff
Amélie Ouellette, Marie Achille, M Pâquet

Bibliographic record

VenueQualitative Health Research · 2009
Typearticle
Languageen
FieldMedicine
TopicOrgan Donation and Transplantation
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsPsychosocialMeaning (existential)PhenomenonQualitative researchInterpretative phenomenological analysisHermeneutic phenomenologyPerspective (graphical)MedicineHealth professionalsPsychologyLived experiencePsychotherapistHealth careSociologyEpistemology

Abstract

fetched live from OpenAlex

In this article we describe the phenomenon of kidney graft failure from the unique perspective of patients. Fifteen patients took part in semistructured interviews. We analyzed interviews using interpretative phenomenological analysis. The content analysis yielded five main emergent themes: life disruption, suffering, meaning making, resistance/acceptance, and social comparison. These results are discussed within the theoretical framework of psychosocial transition put forward by Parkes. A comprehensive description of the experience of kidney graft failure emerging from the patients' perspectives can provide a better understanding of the psychosocial aspects- not only the body aspects-of the phenomenon. It can help health care professionals better address patients' suffering, which is experienced by a person as a whole, and to offer support that promotes adaptation to kidney graft failure.

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)0.007
metaresearch head score (Gemma)0.013
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 score0.007
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.013
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0070.007
Scholarly communication0.0070.005
Open science0.0010.006
Research integrity0.0030.005
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 head0.175
GPT teacher head0.554
Teacher spread0.379 · 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

Citations30
Published2009
Admission routes1
Has abstractyes

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