MétaCan
Menu
Back to cohort
Record W2913301274 · doi:10.1111/trf.15155

Changes in minimum hemoglobin and interdonation interval: impact on donor hemoglobin and donation frequency

2019· article· en· W2913301274 on OpenAlexaff
Mindy Goldman, Qilong Yi, Tony Steed, Sheila F. O’Brien

Bibliographic record

VenueTransfusion · 2019
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicBlood donation and transfusion practices
Canadian institutionsCanadian Blood Services
Fundersnot available
KeywordsDeferralMedicineHemoglobinBlood donorDonationAnimal scienceSurgeryDemographyInternal medicineBiologyImmunology

Abstract

fetched live from OpenAlex

BACKGROUND: To reduce donor iron deficiency in whole blood donors, we changed our hemoglobin (Hb) cutoff in males and interdonation interval in females. STUDY DESIGN AND METHODS: A change in messaging to females in fall 2016 was followed by changing the interdonation interval from 56 to 84 days in the appointment booking system (December 2016) and actual donation criterion (March 2017). The minimum Hb for males increased from 125 g/L to 130 g/L (March 2017). We evaluated Hb levels and deferral rates, donor presentations with a Hb level below 120 g/L, donation frequency, and donor base size before and after these changes. RESULTS: The Hb deferral rate decreased in females from 13.0% to 9.5%, increased in males from 1.2% to 2.1%, and decreased overall from 6.8% to 5.4% (all p < 0.001). Mean Hb increased from 135.0 g/L to 136.2 g/L in females and from 149.9 g/L to 150.6 g/L in males (both p < 0.0001). The percentage of presentations with Hb below 120 g/L decreased by 27% in males and females (p < 0.001). Annual donation frequency decreased by 12% in females and 4% in males; the donor base was expanded by 5.8%. CONCLUSIONS: Many positive impacts were seen for female donors, including a shift in the Hb distribution curve to the right, and a large reduction in Hb deferrals. For males, there was an increase in Hb deferrals and a small increase in mean Hb. Changes were related to both reduced donation frequency and a shift in composition of the donor base.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.466
Threshold uncertainty score0.825

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.013
GPT teacher head0.250
Teacher spread0.236 · 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

Citations16
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueTransfusionSame topicBlood donation and transfusion practicesFrench-language works237,207