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Record W2954793698 · doi:10.1177/2054358119859530

Organ Transplantation for Foreign Nationals in Canada: A Survey of Transplant Professionals

2019· article· en· W2954793698 on OpenAlexaffabout
Rebecca Greenberg, Fabián Ballesteros-Gallego, Julie Allard, Marie‐Chantal Fortin

Bibliographic record

VenueCanadian Journal of Kidney Health and Disease · 2019
Typearticle
Languageen
FieldMedicine
TopicOrgan Donation and Transplantation
Canadian institutionsCentre Hospitalier de l’Université de MontréalUniversité de MontréalTranslational Research in OncologyUniversity of TorontoMount Sinai Hospital
Fundersnot available
KeywordsTransplantationLikert scaleMedicineOrgan donationOrgan transplantationFamily medicineMedical educationPsychologySurgery

Abstract

fetched live from OpenAlex

BACKGROUND: Transplantation for foreign nationals (non-citizens and non-residents) (FNs) in Canada is a complex issue. Currently, there are no Canadian guidelines for the provision of organ transplantation for FNs, and no empirical data on this issue or on transplant professionals' practices are available. OBJECTIVE: This project aimed to gather empirical data on transplant professionals' perspectives and practices regarding transplantation for FNs. DESIGN: Survey research design. SETTING: A Web-based survey of members of the Canadian Society of Transplantation (CST). PARTICIPANTS: All members of the CST were invited to participate between April and June 2016. MEASUREMENTS: Multiple-choice questions were developed to capture participants' attitudes toward different fictitious clinical scenarios in which an FN needed a transplant, their experiences with FNs, their attitude toward FNs in need of transplantation, their knowledge about relevant institutional and organ donation organization (ODO) policies, and their perspectives on a quota. There were two questions with a five-point Likert scale to measure respondents' agreement with statements related to possible policy options and arguments for and against transplantation for FNs. There was one open-ended question about the content of transplant programs' policies on transplantation for FNs. METHODS: Descriptive statistical analysis were performed. RESULTS: A total of 87 transplant professionals completed the survey. Over the 4-year period from 2012 to 2016, 47.1% of respondents dealt with at least one situation of listing or performing a transplant for an FN. Only 19.5% of respondents reported that their transplant program had a policy about transplantation for FNs and 59.7% did not know if their ODO had such a policy. When asked about policy options, 47.5% disagreed with a policy of no transplantation for FNs and 41.4% agreed with offering transplantation for FNs in some circumstances (including life-saving and non-life-saving organs). Study participants agreed that transplantation should not be offered to FNs traveling to Canada specifically for transplantation, that FNs should not be transplanted with organs not suitable for Canadian citizens and that there should not be a transplantation quota for FNs. Participants also seem to be more inclined to offer transplantation of life-saving organs, particularly for children. LIMITATIONS: The major limitation of this study is the low response rate of transplant professionals to this survey. CONCLUSION: This is the first study to describe Canadian transplant professionals' perspectives on transplantation for FNs. The findings of this study will be of interest for future policy development on access to transplantation for FNs. Further studies are needed to gather various key stakeholders' perspectives on this issue, as well as to analyze the legal and ethical issues and the economics, to develop future policies.

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)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.041
Threshold uncertainty score0.174

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0040.001
Scholarly communication0.0020.001
Open science0.0010.002
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 head0.019
GPT teacher head0.282
Teacher spread0.263 · 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 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".

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Citations9
Published2019
Admission routes2
Has abstractyes

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