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Record W2772904046 · doi:10.1111/nep.13205

Direct and indirect costs incurred by Australian living kidney donors

2017· article· en· W2772904046 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueNephrology · 2017
Typearticle
Languageen
FieldMedicine
TopicOrgan Donation and Transplantation
Canadian institutionsUniversity of AlbertaWestern University
FundersNational Health and Medical Research CouncilRaine Medical Research Foundation
KeywordsIndirect costsMedicineDonationTotal costKidney donationMedical prescriptionHealth economicsEnvironmental healthSurgeryKidney transplantationPublic healthTransplantationBusinessEconomics

Abstract

fetched live from OpenAlex

AIM: To describe the direct and indirect costs incurred by Australian living kidney donors. METHODS: A total of 55 living kidney donors from three centres in Perth, Australia and one centre in Melbourne, Australia (2010-2014) was studied. Forty-nine donors provided information on expenses incurred during the donor evaluation period and up to 3 months after donation. A micro-costing approach was used to measure and value the units of resources consumed. Expenses were grouped as direct costs (ground and air travel, accommodation, and prescription medications) and indirect costs (lost wages and lost productivity). Costs were standardized to the year 2016 in Australian dollars. RESULTS: The most common direct costs were for ground travel (100%), parking (76%), and post-donation pain medications or antibiotics (73%). The highest direct costs were for air travel (median $1986 [three donors]) and ground travel (median $459 [49 donors]). Donors also reported lost wages (median $9891 [37 donors]). The inability to perform household activities or care for dependants were reported by 32 (65%) and 23 (47%) donors. Total direct costs averaged $1682 per donor (median $806 among 49 donors). Total indirect costs averaged $7249 per donor (median $7273 among 49 donors). Total direct and indirect costs averaged $8932 per donor (median $7963 among 49 donors). CONCLUSION: Many Australian living kidney donors incur substantial costs during the donation process. Our findings inform the continued development of policies and programmes designed to minimize costs incurred by living kidney donors.

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.

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 score0.089
Threshold uncertainty score0.323

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.014
GPT teacher head0.281
Teacher spread0.267 · 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