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Identifying ethical issues in stepped-wedge cluster randomized trials to inform the Ottawa Statement update: a systematic review of trials published 2016–2022

2025· article· en· W4416273645 on OpenAlexafffundabout
Cory E. Goldstein, Julia F Shaw, Ariella Binik, Hayden P. Nix, Luis Ortiz‐Reyes, Thais Mazzetti, Anand Sergeant, Charles Weijer, Monica Taljaard

Bibliographic record

VenueJournal of Clinical Epidemiology · 2025
Typearticle
Languageen
FieldMedicine
TopicEthics in Clinical Research
Canadian institutionsWestern UniversityMcMaster UniversityDalhousie UniversityOttawa Public HealthOttawa HospitalUniversity of Ottawa
FundersCanadian Institutes of Health ResearchCoordenação de Aperfeiçoamento de Pessoal de Nível Superior
KeywordsStatement (logic)Informed consentPsychological interventionResearch ethicsCluster (spacecraft)Ethical issuesConsolidated Standards of Reporting TrialsAlternative medicine

Abstract

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OBJECTIVES: The Ottawa Statement on the Ethical Design and Conduct of Cluster Randomized Trials (CRTs), published in 2012, is the first and remains the only international ethics guidance document specific to CRTs. However, the stepped-wedge CRT design raises complex ethical issues for which guidance may be lacking. The overarching objective of this review is to inform the forthcoming update of the Ottawa Statement; specific objectives are to characterize the types of interventions and data collection procedures in stepped-wedge CRTs (SW-CRTs), and to examine adherence to key ethical design, conduct, and reporting recommendations. STUDY DESIGN AND SETTING: Primary reports of SW-CRTs evaluating health interventions published 2016-2022 in English were reviewed. Two reviewers extracted data from each trial independently; discrepancies were resolved through consensus. RESULTS: Among 160 SW-CRTs, most evaluated multilevel interventions (78, 49%), and uncommonly involved therapeutic patient interventions (19, 12%). Few (10, 6%) exclusively used routinely collected data sources for outcome assessment. Sixty-four trials (40%) provided explicit justifications for using cluster randomization and the stepped-wedge design. Most (157, 98%) included a statement about research ethics committee (REC) review, of which 148 (94%) reported approval. A statement about consent was reported in 145 (91%), with 113 (78%) pertaining to patients only, 10 (7%) to health-care providers only, and 22 (15%) to both. Among 135 trials reporting on patient consent, consent was not obtained in 55 (41%). Justifications for not obtaining consent were provided in 42 (76%). CONCLUSION: The updated Ottawa Statement should provide guidance about when people should be considered research participants and when their consent is required, justifications for using a stepped-wedge design, the need for REC review, and the burden of data collection procedures in SW-CRTs. PLAIN LANGUAGE SUMMARY: We reviewed 160 SW-CRTs published between 2016 and 2022. These trials often evaluate multifaceted interventions delivered at the cluster or professional level rather than individual level, and most had to rely on at least some form of primary data collection. Although almost all SW-CRTs reported ethics review, fewer than half explained why they used the SW-CRT design, and a substantial minority did not include a statement about whether participant informed consent was obtained. Rarely did consent statement pertain to health-care providers; most statements pertained to patients. Among the SW-CRTs that had consent statements pertaining to patients, almost half reported not obtaining or waiving consent from them, and many of these did not report clear reasons for this. Our findings highlight the need for clearer guidance in the forthcoming update to the Ottawa Statement on the Ethical Design and Conduct of CRTs.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.650
metaresearch head score (Gemma)0.836
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Research integrity
Consensus categoriesMetaresearch
DomainCandidate signal: Methods · Consensus signal: Methods
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.988
Threshold uncertainty score0.431

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.6500.836
Meta-epidemiology (narrow)0.0030.006
Meta-epidemiology (broad)0.0150.014
Bibliometrics0.0210.019
Science and technology studies0.0060.012
Scholarly communication0.0200.017
Open science0.0110.010
Research integrity0.0120.010
Insufficient payload (model declined to judge)0.0050.002

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.

Opus teacher head0.719
GPT teacher head0.716
Teacher spread0.004 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designSystematic review
DomainMethods
GenreEmpirical

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".

Quick stats

Citations1
Published2025
Admission routes3
Has abstractyes

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