MétaCan
Menu
Back to cohort

The effects of a phone call prompt on subsequent blood donation among first‐time donors

2011· article· en· W1560262113 on OpenAlexaffabout
Gaston Godin, Steve Amireault, Lydi‐Anne Vézina‐Im, Marc Germain, Gilles Delage

Bibliographic record

VenueTransfusion · 2011
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicBlood donation and transfusion practices
Canadian institutionsUniversité LavalHéma-Québec
Fundersnot available
KeywordsBlood donationsMedicineBlood donorDonationPeripheral bloodPhone callInternal medicinePhoneImmunology

Abstract

fetched live from OpenAlex

BACKGROUND: A strategy used by blood centers to retain donors is to place phone call reminders. However, among first-time donors, no studies have tested the effect of this strategy. This was the aim of this study among individuals who had recently given their first lifetime blood donation. STUDY DESIGN AND METHODS: A quasi-experimental study using a nonequivalent control group was adopted; participants in the control group were donors with blood types B+ and AB+, since these individuals are not phoned by the blood agency. A total of 1604 first-time donors aged 18 to 70 years from the province of Quebec, Canada, were assigned to the experimental (n = 870) or the control (n = 734) group. Participants in the experimental group were phoned a few days before they had a new opportunity to give blood while those in the control condition were not phoned. RESULTS: In the experimental condition, 48.3% of the donors attempted to give blood during the 12-month follow-up period compared to 38.0% in the control condition. The hazards of the first blood donation attempt among donors who were phoned were 32% higher compared to the hazards of those who were not phoned (p = 0.0004). CONCLUSION: The results of this study indicate that a first phone call reminder about the upcoming opportunity to give blood again has a significant positive effect on return rates among first-time donors.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.533
Threshold uncertainty score0.543

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.012
GPT teacher head0.199
Teacher spread0.186 · 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

Citations23
Published2011
Admission routes2
Has abstractyes

Explore more

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