Ethical issues in cluster randomized trials conducted in low- and middle-income countries: an analysis of two case studies
Bibliographic record
Abstract
BACKGROUND: Cluster randomized trials are common in health research in low- and middle-income countries raising issues that challenge interpretation of standard ethical guidelines. While the Ottawa Statement on the ethical design and conduct of cluster randomized trials provides guidance for researchers and research ethics committees, it does not explicitly focus on low- and middle-income settings. MAIN BODY: In this paper, we use the lens of the Ottawa Statement to analyze two cluster randomized trials conducted in low- and middle-income settings in order to identify gaps or ethical issues requiring further analysis and guidance. The PolyIran trial was a parallel-arm, cluster trial examining the effectiveness of a polypill for prevention of cardiovascular disease in Golestan province, Iran. The PASTAL trial was an adaptive, multistage, parallel-arm, cluster trial evaluating the effect of incentives for human immunodeficiency virus self-testing and follow-up on male partners of pregnant women in Malawi. Through an in-depth case analysis of these two studies we highlight several issues in need of further exploration. First, standards for verbal consent and waivers of consent require methods for operationalization if they are to be employed consistently. Second, the appropriate choice of a control arm remains contentious. Particularly in the case of implementation interventions, locally available care is required as the comparator to address questions of comparative effectiveness. However, locally available care might be lower than standards set out in national guidelines. Third, while the need for access to effective interventions post-trial is widely recognized, it is often not possible to guarantee this upfront. Clarity on what is required of researchers and sponsors is needed. Fourth, there is a pressing need for ethics education and capacity building regarding cluster randomized trials in these settings. CONCLUSION: We identify four issues in cluster randomized trials conducted in low- and middle-income countries for which further ethical analysis and guidance is required.
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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 | 0.709 | 0.761 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.005 | 0.008 |
| Bibliometrics | 0.009 | 0.010 |
| Science and technology studies | 0.006 | 0.011 |
| Scholarly communication | 0.010 | 0.007 |
| Open science | 0.006 | 0.007 |
| Research integrity | 0.009 | 0.007 |
| Insufficient payload (model declined to judge) | 0.004 | 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".