Perspectives of Patients, Caregivers and Researchers on Research Priorities in Donation and Transplantation in Canada: A Pilot Workshop
Bibliographic record
Abstract
BACKGROUND: It is vitally important to seek input from key stakeholders to increase the quality and relevance of health-related research and accelerate its adoption into practice. Patients and caregivers have rarely been involved in setting research priorities in the transplantation and donation field. The objectives of this explorative study are: (i) to discuss research priorities within the Canadian National Transplant Research Program during a priority-setting exercise with patients, caregivers, organ donors and researchers and (ii) to compare the identified priorities with research published in 2 prestigious transplantation journals. METHODS: A pilot workshop attended by 10 patients and caregivers and 5 researchers was held in Montréal (Quebec, Canada) in August 2014 to identify research priorities. Priorities were identified using a thematic analysis of the workshop transcription conducted by multiple coders. These priorities were compared with the topics of research articles published in 2 major transplantation journals between 2012 and 2014. RESULTS: The themes of the 10 research priorities identified by study participants were related to different research domains: social, cultural, and environmental health factors (4); biomedical or clinical (4); and research about health systems and services (2). 26.7% of the research articles published were related to the identified priorities. Thirteen percent looked at ways to improve graft survival and 8.5% looked at the development of tolerance, 2 priorities identified by participants. Fewer than 5% examined the other 8 research priorities identified as important by workshop participants. CONCLUSIONS: This is the first study reporting patients' and researchers' priorities in the field of transplantation and donation in Canada. There is a discrepancy between topics that key stakeholders find important and research published in 2 major transplantation journals. The research priorities identified during our initial workshop will be validated through a national survey and workshop.
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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 | 0.067 | 0.070 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.047 | 0.012 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.005 | 0.019 |
| Research integrity | 0.006 | 0.013 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".