Recruitment and retention of blood donors in four <scp>C</scp>anadian cities: an analysis of the role of community and social networks
Bibliographic record
Abstract
BACKGROUND: This study approaches the decision to donate blood as a dynamic process involving interplay between blood donors' personal motives, donors' social contexts, and the donor recruitment and retention activities of blood collection agencies. STUDY DESIGN AND METHODS: Data were gathered from four blood donation clinics using in-depth interviews with Canadian Blood Services employees, donors, and nondonors in 25 organizations participating in Life Link, a donor recruitment program that supports organizations to educate employees about the benefits of blood donation. Further data were obtained from ethnographic observations of blood collection and donor recruitment activities. RESULTS: Thematic analysis resulted in three umbrella themes: leveraging social networks, embedding the clinic in the community, and donating blood and social reciprocity. Donor recruitment activities at all four clinics enhanced awareness of blood donation in the workplace by using experienced donors to motivate their coworkers in making a first-time donation. Clinic employees reported varying success in improving awareness of blood donation in the broader community, in part because of varying employee engagement in community-wide activities and celebrations. Altruistic motives were mentioned by experienced donors, who also identified a desire to reciprocate to their community as another strong motive. CONCLUSION: This study contextualizes donor recruitment and retention as involving activities that tie blood donation to meaningful aspects of donors' social networks and community. The findings point to the need for further analyses of the institutional dimensions of blood donation to develop effective strategies beyond appeals to altruism.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".