Evidence map›Paper›PMID 38180974›Full record

ArticlePloS one2024

Mixed-methods exploration of the knowledge of young adults about blood donation processes; a one-center cross-sectional study in a tertiary institution.

Belinda Baidoo, Elizabeth Ankomah, Mohammed Alhassan, Godfred Benya, Emmanuella Obike, Audrey Benfo, Joseph Boachie, Patrick Adu

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
7.3field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 10 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

Belinda BaidooDepartment of Medical Laboratory Sciences, School of Allied Health, Sciences College of Health and Allied Sciences, University of Cape Coast, Cape Coast, Ghana.
Elizabeth AnkomahDepartment of Medical Laboratory Sciences, School of Allied Health, Sciences College of Health and Allied Sciences, University of Cape Coast, Cape Coast, Ghana.
Mohammed AlhassanDepartment of Medical Laboratory Sciences, School of Allied Health, Sciences College of Health and Allied Sciences, University of Cape Coast, Cape Coast, Ghana.
Godfred BenyaDepartment of Medical Laboratory Sciences, School of Allied Health, Sciences College of Health and Allied Sciences, University of Cape Coast, Cape Coast, Ghana.
Emmanuella ObikeDepartment of Medical Laboratory Sciences, School of Allied Health, Sciences College of Health and Allied Sciences, University of Cape Coast, Cape Coast, Ghana.ORCID 0009-0007-6571-3297
Audrey BenfoDepartment of Medical Laboratory Sciences, School of Allied Health, Sciences College of Health and Allied Sciences, University of Cape Coast, Cape Coast, Ghana.
Joseph BoachieDepartment of Medical Laboratory Sciences, School of Allied Health, Sciences College of Health and Allied Sciences, University of Cape Coast, Cape Coast, Ghana.
Patrick AduDepartment of Medical Laboratory Sciences, School of Allied Health, Sciences College of Health and Allied Sciences, University of Cape Coast, Cape Coast, Ghana.ORCID 0000-0002-9686-8300
University of Cape Coast · GH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ghana is a majority youthful population, but is only able to meet 60% of its annual blood donation requirements. Although tertiary students in Ghana may serve as important blood donor resource by virtue of their higher educational attainment, data about their blood donation processes-specific knowledge are scarce. This study therefore explored the perspectives, and experiences of young adults regarding blood donation processes. This exploratory study employed mixed-methods approach (semi-structured questionnaire and focus group discussion, [FGD]). Data collection was sequential; the questionnaire distribution was completed before FGD commenced; themes that emerged from the questionnaire responses guided FGDs. Convenience sampling technique was used to recruit 382 young adults (15-49 years). All statistical analyses were undertaken using the two-tail assumptions; p<0.05 was considered statistically significant. Majority (79.3%) of the participants were in their twenties, with only 1.3% being 40-49 years old. Although two-thirds of participants expressed willingness to donate blood, less than a-third (31.7%; 127/382) had previously donated blood. Overall, less than one-third of participants could correctly identify the minimum weight (26.4%), or the inter-donation interval (14.7%); 37.4% and 58.1% could respectively indicate the required donor age or ≥3 infectious agents screened for prior to blood collection. Among previous donors, 37.2%, 28.1% and 43.0% could identify the required weight, acceptable inter-donation period, and donor age respectively. Two-thirds and a-third of participants preferred voluntary unrelated, and paid donations respectively. Whereas 42.4% of participants indicated intrinsic health benefits of blood donation, 17.0% suggested that blood donation was associated with disease risks. Both previous donors and non-donor groups considered lack of education, fear of post-donation health issues and lack of privacy at blood collection centers as main hindrances to donor recruitment. Targeted intentional blood donation-specific educational campaigns are warranted to address the blood donation processes knowledge gap among the study population.

Indexed as

Blood DonationHealth FacilitiesAdultBlood DonorsCross-Sectional StudiesHumansMiddle AgedResearch DesignYoung Adult

Identifiers

PMID38180974
PMCPMC10769017
OpenAlexW4390606939

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.