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Record W2125992868 · doi:10.1111/vox.12143

Donors' psychological reactions to deferral following false‐positive screening test results

2014· article· en· W2125992868 on OpenAlexaff
Gilles Delage, Geneviève Myhal, Yves Grégoire, G.‐M. Simmons‐Coley

Bibliographic record

VenueVox Sanguinis · 2014
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicBlood donation and transfusion practices
Canadian institutionsHéma-Québec
Fundersnot available
KeywordsBlood donorMedicinePsychological distressDeferralDistressDonationBlood donationsFamily medicineImmunologyClinical psychologyPsychiatryAnxiety

Abstract

fetched live from OpenAlex

BACKGROUND AND OBJECTIVES: Being notified of a false-positive infectious disease marker result can cause psychological distress in blood donors. A new notification process, informing donors of the possibility of re-entry, was compared with the previous one in which donors were indefinitely deferred to evaluate the mitigating effect on donors' psychological distress levels. MATERIALS AND METHODS: Two groups of donors, 'deferred donors' (DD) and 'donors eligible for re-entry' (DER), completed a questionnaire involving 5-point scales. Levels of psychological distress, attitude towards blood donation, desire to donate blood in the future and perception of notification process quality were assessed. RESULTS: Attitudes towards blood donation (P = 0·0276) (DD: 3·94 ± 0·11 vs. DER 4·21 ± 0·09) and perceived quality of communication (P = 0·0108) (DD: 2·72 ± 0·12 vs. DER 3·08 ± 0·10) were significantly improved with the new notification process. No significant difference was found between groups in psychological distress levels or desire to donate blood in the future. CONCLUSION: Informing donors of the possibility of re-entry appears to contribute to maintaining a positive predisposition towards future blood donation. It does not, however, appear to alleviate the distress felt after being notified of a false-positive infectious disease marker result, nor does it increase willingness to give blood again in the future.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.679
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.036
GPT teacher head0.299
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 teacher head, not a consensus.

Study designNot applicable
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

Citations18
Published2014
Admission routes1
Has abstractyes

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