A case analysis of partnered research on palliative care for refugees in Jordan and Rwanda
Bibliographic record
Abstract
BACKGROUND: This case analysis describes dilemmas and challenges of ethical partnering encountered in the process of conducting a research study that explored moral and practical dimensions of palliative care in humanitarian crisis settings. Two contexts are the focus of this case analysis: Jordan, an acute conflict-induced refugee situation, and Rwanda, a protracted conflict-induced refugee setting. The study's main goal was to better understand ways humanitarian organizations and health care providers might best support ethically and contextually appropriate palliative care in humanitarian contexts. An unintended outcome of the research was learning lessons about ethical dimensions of transnational research partnerships, which is the focus of this case analysis. DISCUSSION: There exist ongoing challenges for international collaborative research in humanitarian conflict-induced settings. Research partnerships were crucial for connecting with key stakeholders associated with the full study (e.g., refugees with life limiting illness, local healthcare providers, aid organization representatives). While important relationships were established, obstacles limited our abilities to fully attain the type of mutual partnership we aimed for. Unique challenges faced during the research included: (a) building, nurturing and sustaining respectful and equitable research partnerships between collaborators in contexts of cultural difference and global inequality; (b) appropriate ethics review and challenges of responding to local decision-maker's research needs; and (c) equity and fairness towards vulnerable populations. Research strategies were adapted and applied to respond to these challenges with a specific focus on (d) research rewards and restitution. CONCLUSIONS: This case analysis sheds light on the importance of understanding cultural norms in all research roles, building relationships with decision makers, and developing teams that include researchers from within humanitarian crisis settings to ensure that mutually beneficial research outcomes are ethical as well as culturally and contextually relevant.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.000 |
| 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".