322.2: Organ donation coordinators’ major stressors and satisfying aspects of the role: A Canadian qualitative study.
Bibliographic record
Abstract
Introduction: Deceased organ donation is a complex process that relies on the expertise of Organ and Tissue Donation Coordinators (OTDCs). The care provided by OTDCs exposes them to a range of occupational stressors, while also providing opportunities for professional fulfillment. A dedicated balance between these aspects is critical to supporting OTDCs in providing this specialized care, therefore, in this study we aimed to explore the work-related stressors and satisfying aspects of OTDCs in Canada. Methods: This was a national study conducted using a qualitative descriptive design approach. Data was collected through use of virtual interviews with OTDCs across Canada. Interviews were recorded and transcribed for an inductive data analysis approach, allowing for major categories to be identified. This study is part of the Burnout and Resilience in Organ Donor Coordinators (BRiC) research program funded by Canadian Blood Services. Preliminary Results: A total of 39 OTDCs participated in this study, with most participants having a nursing degree (n=35, 89.75%) and an intensive care background (n=32, 65.20%). Results were organized into two main categories, each with three sub-categories. Satisfying aspects reported by OTDCs included (1) interpersonal interactions, (2) personal factors, such as being challenged during their work, and (3) work-specific factors related to the meaningful impact of their work. Stressors, on the other hand, were linked to the (1) outcomes, (2) processes, and (3) structures of the role, including only seeing the negative side of donation, organ allocation, and lack of resources, respectively. Conclusions: Identifying the primary stressors and sources of satisfaction for OTDCs sheds light on the dynamic components that influence their work-related well-being and professional engagement. These findings can inform the development of targeted strategies to reduce burnout and other work-related issues among this population, which ultimately can improve the quality of care delivered during the donation process. We would like to thank the Canadian Blood services for funding this research. We also thank the Organ Donation Organizations in Canada (managers and organ and tissue donation coordinators) who have kindly supported this study and participated as solid partners.
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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 | 0.011 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.023 | 0.007 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".