A critical contribution in a time of crisis: Examining motivations and deterrents to <scp>COVID</scp>‐19 convalescent plasma donation and future donation intentions among prospective <scp>Canadian</scp> donors
Bibliographic record
Abstract
OBJECTIVES: To understand motivations and deterrents to donate COVID-19 convalescent plasma for a clinical trial and determine whether they predict intention to donate source plasma. BACKGROUND: During the COVID-19 pandemic, Canadian Blood Services was involved in three nationally coordinated convalescent plasma clinical trials, requiring the recruitment of several thousand prospective convalescent plasma donors. Understanding the motivations and deterrents of donors in the unique context of a clinical trial and ongoing pandemic can inform recruitment for source plasma donation beyond a clinical trial. METHODS AND MATERIALS: We invited 2785 Canadians who had registered interest in donating COVID-19 convalescent plasma to participate in an online survey containing a 42-item scale on motivators of and deterrents to donation. Between April 26th and May 19th, 2021, 979 responded (35.1%). We included a final sample of 820 participants with sufficient data across all scales. Exploratory and confirmatory factor analysis determined the factor structure of the scale. Regression analysis assessed the extent to which the factors predicted intention to donate. RESULTS: Four factors were identified: 'helping relationally', 'deterrents to donation', 'social facilitators', and 'access to the donation centre', each with good internal consistency (α = 0.78-95). Higher scores on the helping relationally scale were associated with higher odds of intention to donate, whereas higher scores on the deterrents scale were associated with lower odds of intention to donate. CONCLUSION: Participants were motivated by an interest in helping people who are ill and contributing to research committed to finding treatments in a time of crisis. Outside the crisis context, blood service operators seeking to recruit source plasma donors should emphasise its lifesaving potential and the impact of donation on the community.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".