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Record W4200229465 · doi:10.1177/15269248211064881

The Psychosocial Adjustment of Kidney Recipients in Canada's Kidney Paired Donation Program

2021· article· en· W4200229465 on OpenAlexafffundabout
Sophia Bourkas, Marie Achille

Bibliographic record

VenueProgress in Transplantation · 2021
Typearticle
Languageen
FieldMedicine
TopicOrgan Donation and Transplantation
Canadian institutionsUniversité de Montréal
FundersFonds de Recherche du Québec-Société et Culture
KeywordsGratitudePsychosocialDonationKidney donationMedicineKidney transplantationFamily medicineFocus groupKidneyClinical psychologyPsychologySocial psychologyInternal medicinePsychiatry

Abstract

fetched live from OpenAlex

Introduction: Kidney paired donation programs have been implemented globally. The involvement of at least 2 donors in these programs might exacerbate recipients’ debt of gratitude and guilt, worries about the donor's health, and worries about graft failure documented by previous studies. However, there is an absence of research on the psychosocial implications of kidney paired donation. This study aimed to provide an in-depth examination of recipients’ experience of kidney paired donation, with a focus on psychosocial adjustment. Methods/Approach: Individual interviews were conducted with 8 recipients who received a transplant through Canada's Kidney Paired Donation program. Data was analyzed using Interpretative Phenomenological Analysis. Findings: Four themes emerged: (a) an emotionally charged relationship with the known donor, (b) optimal distance regulation in the relationship with the anonymous donor, (c) kidney paired donation as a series of ups and downs, and (d) multilayered gratitude. Discussion: Findings are considered in relation to extant literature. Issues relevant to the transplant community's clinical and research efforts to provide kidney recipients responsive care are discussed.

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)0.000
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 score0.324
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
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 head0.012
GPT teacher head0.283
Teacher spread0.271 · 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

Citations3
Published2021
Admission routes3
Has abstractyes

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