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Record W4310336821 · doi:10.1177/20543581221137179

Motivators and Barriers to Living Donor Kidney Transplant as Perceived by Past and Potential Donors

2022· article· en· W4310336821 on OpenAlexaffabout
Julia Zazoulina, Keesha Khehra, Jagbir Gill

Bibliographic record

VenueCanadian Journal of Kidney Health and Disease · 2022
Typearticle
Languageen
FieldMedicine
TopicOrgan Donation and Transplantation
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedicineReimbursementDonationFamily medicineKidney donationEconomic shortageLikert scaleKidney transplantationTransplantationGovernment (linguistics)Health careSurgeryPsychologyEconomic growth

Abstract

fetched live from OpenAlex

Background: For patients with end-stage kidney disease, living donor kidney transplant is the treatment of choice due to improved patient outcomes, longer graft survival, and reduced expenses compared with other forms of renal replacement therapy. However, organ shortage remains a challenge, and living donation rates have stagnated in recent years, particularly among men. Objective: To understand the motivators and barriers for past and potential living kidney transplant donors and inform policy and practice changes that support donors in the future. Methods: Past and potential living donors in British Columbia, Canada in the preceding 2 years were surveyed. Motivators and barriers were examined in 5 categories: family pressures and domestic responsibilities, finances, the recovery process, complications, and the transplant evaluation process. Participants ranked statements in each category on a Likert-type scale. Results: A total of 138 responses were collected. In both women and men, policies that address family and domestic responsibilities and finances were most strongly identified as motivators to donate. A large proportion of women and men reported that guaranteed job security (47% women and 38% of men), paid time off (51% of women and 42% of men), reimbursement of lost wages (49% of women and 38% of men), and protections to guarantee no impact on future insurability (62% of women and 52% of men) were significant motivators to donate. Timely and efficient medical evaluation was considered to be an important motivator for donation, with 52% of men and 43% of women reporting support for a "fast-track" option for evaluation to allow for a more rapid evaluation process. Median barrier and motivator scores were similar between women and men. Conclusion: Policies to decrease financial burden, ensure job security, improve childcare support, and offer a fast-track medical evaluation may motivate potential living kidney donors, irrespective of gender.

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)0.006
metaresearch head score (Gemma)0.012
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
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 head0.005
GPT teacher head0.228
Teacher spread0.223 · 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

Citations16
Published2022
Admission routes2
Has abstractyes

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