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A comparison of health care and blood supply system structures

2010· review· en· W1504694830 on OpenAlexaff
James P. AuBuchon, Brian Custer, Graham D. Sher

Bibliographic record

VenueVox Sanguinis · 2010
Typereview
Languageen
FieldBusiness, Management and Accounting
TopicBlood donation and transfusion practices
Canadian institutionsCanadian Blood Services
Fundersnot available
KeywordsBlood supplyTransfusion medicineDiversity (politics)Health careMedicineProduct (mathematics)Blood productDeveloped countryBlood collectionHealthcare systemBlood bankBlood transfusionBusinessFamily medicineMarketingIntensive care medicineEnvironmental healthEmergency medicineImmunologyPathologyEconomic growthSurgeryEconomics

Abstract

fetched live from OpenAlex

There is great diversity in the practice of blood banking and transfusion medicine between countries. We sought to relate this to the variety of health care and blood supply systems in different countries. Questionnaires were completed by respondents from 15 countries selected from among those with higher Human Development Indices. These data were reviewed searching for correlations with blood banking and transfusion medicine practices. Wide varieties of health care and blood supply schemes were documented. There was no apparent relationship between their structure and organization nor their financing arrangements and their proclivity for the implementation of new methods or approaches such as pathogen inactivation and universal leucoreduction. The costs of the operation of the blood supply system as represented by their product fees and the rate of collection of red cells could also not be associated with the factors examined. The diversity of practice evident across developed countries is not explicable solely through their health care and blood supply system structures. Other factors are likely involved but are not easy to define or measure.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.993
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
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 head0.044
GPT teacher head0.349
Teacher spread0.305 · 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.

Study designNot applicable
Domainnot available
GenreReview

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

Citations6
Published2010
Admission routes1
Has abstractyes

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