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Record W4417246107 · doi:10.1016/j.puhip.2025.100687

Blood donation practice and predictors among university and college students in Ethiopia: A systematic review and meta-analysis

2025· article· en· W4417246107 on OpenAlexaboutno aff
Hailemariam Gezie, Fekadeselassie Belege Getaneh, Habtam Gelaye

Bibliographic record

VenuePublic Health in Practice · 2025
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicBlood donation and transfusion practices
Canadian institutionsnot available
Fundersnot available
KeywordsBlood donorChristian ministryQuarter (Canadian coin)DonationClinical Practice

Abstract

fetched live from OpenAlex

Objectives: This systematic review and meta-analysis aimed to assess the pooled blood donation practice and its predictors among university and college students in Ethiopia. Study design: Systematic review and meta-analysis. Methods: , and Q statistic and handled by subgroup analysis, meta-regression, and sensitivity analysis. Publication bias was checked by funnel plot and Egger's test. Results: This systematic review and meta-analysis of 22 studies that included 9048 students revealed that the pooled estimate of blood donation practice was 26 % (CI: 22, 31). Age of students (POR = 3.22; CI: 1.83, 5.68), faculty (POR = 2.44; CI: 1.74, 3.41), knowledge (POR = 2.89; CI: 1.89, 4.41), and attitude (POR = 1.93; CI: 1.43, 2.62) were found to have a significant association with blood donation practice. Conclusion: The pooled estimate of blood donation practice indicated that only a quarter of university and college students donated blood, which is limited. Therefore, Ethiopian Ministry of Health, regional health bureaus, blood banks, the universities and colleges, the students' council, and other stakeholders shall pay due attention to blood donation.

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)0.010
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.847
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
Science and technology studies0.0000.000
Scholarly communication0.0000.007
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 head0.039
GPT teacher head0.326
Teacher spread0.286 · 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 designMeta-analysis
Domainnot available
GenreCommentary

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

Citations0
Published2025
Admission routes1
Has abstractyes

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