Factors associated with plasma donation intention and behaviour: a systematic review and meta-analysis of the observational literature informed by the Theoretical Domains Framework
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This systematic review and meta-regression analysis examined behavioural correlates of plasma donation intention and behaviour, employing the Theoretical Domains Framework (TDF) to categorise associated factors. From 53 included studies (n = 3,282,755 participants), we identified 56 unique factors spanning 11 TDF domains. Meta-regression revealed significant correlations between plasma donation intention and six domains, including beliefs about capabilities, social influences, and emotions. Meta-regression of factors associated with behaviour did not identify any significant associations. This review highlights key theoretically informed correlates of plasma donation intention but reveals a lack of evidence on predictors of actual donation behaviour. Addressing this intention–behaviour gap through robust, longitudinal research will be critical to informing effective plasma donation interventions.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it