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Record W4390047114 · doi:10.1371/journal.pone.0296104

Barriers and enablers to and strategies for promoting domestic plasma donation throughout the world: Overarching protocol for three systematic reviews

2023· article· en· W4390047114 on OpenAlexafffund
Cole Etherington, Amelia Palumbo, Kelly Holloway, Samantha Meyer, Maximillian Labrecque, Kyle A. Rubini, Risa Shorr, Vivian Welch, Emily Gibson, Terrie Foster, Jennie Haw, Elisabeth Vesnaver, Manavi T. Maharshi, Sheila F. O’Brien, Paul MacPherson, Joyce Dogba, Tony Steed, Mindy Goldman, Justin Presseau

Bibliographic record

VenuePLoS ONE · 2023
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicBlood donation and transfusion practices
Canadian institutionsUniversité LavalCampbell Scientific (Canada)University of OttawaUniversity of WaterlooCanadian Blood ServicesOttawa Hospital
FundersCanadian Institutes of Health Research
KeywordsPsycINFOCINAHLDonationMEDLINEScopusMedicineSystematic reviewProtocol (science)PsychologyMedical educationPsychological interventionPolitical scienceNursingAlternative medicinePathology

Abstract

fetched live from OpenAlex

INTRODUCTION: The growing demand for plasma protein products has caused concern in many countries who largely rely on importing plasma products produced from plasma collected in the United States and Europe. Optimizing recruitment and retention of a diversity of plasma donors is therefore important for supporting national donation systems that can reliably meet the most critical needs of health services. This series of three systematic reviews aims to synthesize the known barriers and enablers to source plasma donation from the qualitative and survey-based literature and identify which strategies that have shown to be effective in promoting increased intention to, and actual donation of, source plasma. METHODS AND ANALYSIS: Primary studies involving source or convalescent plasma donation via plasmapheresis will be included. The search strategy will capture all potentially relevant studies to each of the three reviews, creating a database of plasma donation literature. Study designs will be subsequently identified in the screening process to facilitate analysis according to the unique inclusion criteria of each review (i.e., qualitative, survey, and experimental designs). The search will be conducted in the electronic databases SCOPUS, MEDLINE, EMBASE, PsycINFO, and CINAHL without date or language restrictions. Studies will be screened, and data will be extracted, in duplicate by two independent reviewers with disagreements resolved through consensus. Reviews 1 and 2 will draw on the Theoretical Domains Framework and Intersectionality, while Review 3 will be informed by Behaviour Change Intervention Ontologies. Directed content analysis and framework analysis (Review 1), and descriptive and inferential syntheses (Reviews 2 and 3), will be used, including meta-analyses if appropriate. DISCUSSION: This series of related reviews will serve to provide a foundation of what is known from the published literature about barriers and enablers to, and strategies for promoting, plasma donation worldwide.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.111
metaresearch head score (Gemma)0.152
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.111
Threshold uncertainty score0.590

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1110.152
Meta-epidemiology (narrow)0.0060.005
Meta-epidemiology (broad)0.0190.018
Bibliometrics0.0220.019
Science and technology studies0.0050.005
Scholarly communication0.0090.011
Open science0.0060.009
Research integrity0.0080.007
Insufficient payload (model declined to judge)0.0390.006

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 head0.103
GPT teacher head0.339
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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreProtocol

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

Citations3
Published2023
Admission routes2
Has abstractyes

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