Ethical Issues in Pragmatic Cluster-Randomized Trials in Dialysis Facilities
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Bibliographic record
Abstract
A pragmatic cluster-randomized trial (CRT) is a research design that may be used to efficiently test promising interventions that directly inform dialysis care. While the Ottawa Statement on the Ethical Design and Conduct of Cluster Randomized Trials provides general ethical guidance for CRTs, the dialysis setting raises additional considerations. In this article, we outline ethical issues raised by pragmatic CRTs in dialysis facilities. These issues may be divided into 7 key domains: justifying the use of cluster randomization, adopting randomly allocated individual-level interventions as a facility standard of care, conducting benefit-harm analyses, gatekeepers and their responsibilities, obtaining informed consent from research participants, patient notification, and including vulnerable participants. We describe existing guidelines relevant to each domain, illustrate how they were considered in the Time to Reduce Mortality in End-Stage Renal Disease (TiME) trial (a prototypical pragmatic hemodialysis CRT), and highlight remaining areas of uncertainty. The following is the first step in an interdisciplinary mixed-methods research project to guide the design and conduct of pragmatic CRTs in dialysis facilities. Subsequent work will expand on these concepts and when possible, argue for a preferred solution. A pragmatic cluster-randomized trial (CRT) is a research design that may be used to efficiently test promising interventions that directly inform dialysis care. While the Ottawa Statement on the Ethical Design and Conduct of Cluster Randomized Trials provides general ethical guidance for CRTs, the dialysis setting raises additional considerations. In this article, we outline ethical issues raised by pragmatic CRTs in dialysis facilities. These issues may be divided into 7 key domains: justifying the use of cluster randomization, adopting randomly allocated individual-level interventions as a facility standard of care, conducting benefit-harm analyses, gatekeepers and their responsibilities, obtaining informed consent from research participants, patient notification, and including vulnerable participants. We describe existing guidelines relevant to each domain, illustrate how they were considered in the Time to Reduce Mortality in End-Stage Renal Disease (TiME) trial (a prototypical pragmatic hemodialysis CRT), and highlight remaining areas of uncertainty. The following is the first step in an interdisciplinary mixed-methods research project to guide the design and conduct of pragmatic CRTs in dialysis facilities. Subsequent work will expand on these concepts and when possible, argue for a preferred solution. FEATURE EDITOR:Daniel E. WeinerADVISORY BOARD:L. Ebony BoulwareKevin EricksonEduardo Lacson JrBruce M. RobinsonWolfgang WinkelmayerPolicy Forum highlights aspects of nephrology relating to payment and social policy, legislation, regulation, demographics, politics, and ethics, contextualizing these issues as they relate to the lives and practices of members of the kidney community, including providers, payers, and patients. FEATURE EDITOR: Daniel E. Weiner ADVISORY BOARD: L. Ebony Boulware Kevin Erickson Eduardo Lacson Jr Bruce M. Robinson Wolfgang Winkelmayer Policy Forum highlights aspects of nephrology relating to payment and social policy, legislation, regulation, demographics, politics, and ethics, contextualizing these issues as they relate to the lives and practices of members of the kidney community, including providers, payers, and patients.
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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 | 0.009 | 0.093 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.019 | 0.006 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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 it