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Record W4281633502 · doi:10.1111/vox.13301

Understanding the experiences of plasma donors in Canada's new source plasma collection centres during <scp>COVID</scp>‐19: A qualitative study

2022· article· en· W4281633502 on OpenAlexafffundabout
Kelly Holloway

Bibliographic record

VenueVox Sanguinis · 2022
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicBlood donation and transfusion practices
Canadian institutionsCanadian Blood Services
FundersCanadian Blood Services
KeywordsDonationBlood donorBlood collectionQualitative researchIdentity (music)Public relationsData collectionSocial capitalMedicineBusinessPsychologySociologyPolitical scienceImmunologyMedical emergency

Abstract

fetched live from OpenAlex

BACKGROUND AND OBJECTIVES: To address a national concern over the sufficiency of plasma, Canadian Blood Services (CBS) initiated a proof-of-concept programme with three new source plasma collection centres, aiming to demonstrate a cost-effective template for future source plasma collection and to alleviate the concerns and risks associated with the dependence on the United States. This study uses social capital as a framework to assess the success of the proof-of-concept collection centres. MATERIALS AND METHODS: One-hundred and one qualitative interviews with source plasma donors in three new source plasma centres in Canada were carried out. RESULTS: CBS played a critical role in motivating whole-blood donors to switch to plasma donation by building on their identity as a donor and facilitating access. Community was central to ensuring that donors returned. The importance of the social network was apparent through relationships participants developed with staff and through the relationships that staff had with each other. Donors wanted to understand more about the uses of plasma so that they could promote donation through their social networks outside the centre. CONCLUSION: Campaigns to convert existing blood donors to plasma donors should build on their identity as a donor and structure the centre as a safe and welcoming place. To retain donors, blood collection agencies should emphasize community by facilitating staff ability to work well together and connect with the donor. Blood operators have the potential to expand existing social networks and foster trust through the dissemination of knowledge about plasma more broadly in more diverse communities.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.106
Threshold uncertainty score0.648

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
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 head0.052
GPT teacher head0.271
Teacher spread0.219 · 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 designQualitative
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

Citations14
Published2022
Admission routes3
Has abstractyes

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