Organ and tissue donation in clinical settings: a systematic review of the impact of interventions aimed at health professionals
Bibliographic record
Abstract
In countries where presumed consent for organ donation does not apply, health professionals (HP) are key players for identifying donors and obtaining their consent. This systematic review was designed to verify the efficacy of interventions aimed at HPs to promote organ and tissue donation in clinical settings. CINAHL (1982 to 2012), COCHRANE LIBRARY, EMBASE (1974 to 2012), MEDLINE (1966 to 2012), PsycINFO (1960 to 2012), and ProQuest Dissertations and Theses were searched for papers published in French or English until September 2012. Studies were considered if they met the following criteria: aimed at improving HPs' practices regarding the donation process or at increasing donation rates; HPs working in clinical settings; and interventions with a control group or pre-post assessments. Intervention behavioral change techniques were analyzed using a validated taxonomy. A risk ratio was computed for each study having a control group. A total of 15 studies were identified, of which only 5 had a control group. Interventions were either educational, organizational or a combination of both, and had a weak theoretical basis. The most common behavior change technique was providing instruction. Two sets of interventions showed a significant risk ratio. However, most studies did not report the information needed to compute their efficacy. Therefore, interventions aimed at improving the donation process or at increasing donation rates should be based on sound theoretical frameworks. They would benefit from more rigorous evaluation methods to ensure good knowledge translation and appropriate organizational decisions to improve professional practices.
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 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 | 0.008 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| 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 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".