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Record W1933421087 · doi:10.1111/trf.13254

An inventory of concerns behind blood safety policies in five Western countries

2015· article· en· W1933421087 on OpenAlexaboutno aff
Koen Kramer, Marcel Verweij, Hans L. Zaaijer

Bibliographic record

VenueTransfusion · 2015
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicBlood donation and transfusion practices
Canadian institutionsnot available
Fundersnot available
KeywordsTransparency (behavior)Variety (cybernetics)BusinessRisk analysis (engineering)MedicinePublic relationsPolitical scienceComputer scienceLaw

Abstract

fetched live from OpenAlex

BACKGROUND: The availability of costly safety measures against transfusion-transmissible infections forces Western countries to confront difficult ethical questions. How to decide about implementing such measures? When are such decisions justified? As a preliminary to addressing these questions, we assessed which concerns shape actual donor blood safety policymaking in five Western countries. STUDY DESIGN AND METHODS: Our qualitative study involved determining which issues had been discussed in advisory committee meetings and capturing these issues in general categories. Appropriate documents were identified in collaboration with local decision-making experts in Canada, Germany, the Netherlands, the United States, and the United Kingdom. The introduction of hepatitis B virus nucleic acid testing and selected measures against variant Creutzfeldt-Jakob disease, West Nile virus, and Q-fever were chosen as cases representing decision-making on safety measures with high costs and low or uncertain added safety. RESULTS: A broad inventory of concerns was established, including: 1) nine categories of advantages and disadvantages of candidate safety policies; 2) six kinds of difficulties in assessing risks and forecasting the effects of safety policies; 3) 13 decision-making principles; and 4) six kinds of practical barriers hampering the translation of candidate policies into decisions. CONCLUSION: Blood safety policymaking involves a wide variety of competing concerns, and approaches to reconcile these considerations are themselves contested. Developing a systematic decision-making approach requires ethical reflection on, among others, reasonable costs of safety and the value of transparency in public policy.

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)0.001
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 score0.403
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.002
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 head0.034
GPT teacher head0.282
Teacher spread0.247 · 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

Citations12
Published2015
Admission routes1
Has abstractyes

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