A Scoping Review of Empirical Research Relating to Quality and Effectiveness of Research Ethics Review
Bibliographic record
Abstract
BACKGROUND: To date there is no established consensus of assessment criteria for evaluating research ethics review. METHODS: We conducted a scoping review of empirical research assessing ethics review processes in order to identify common elements assessed, research foci, and research gaps to aid in the development of assessment criteria. Electronic searches of Ovid Medline, PsychInfo, and the Cochrane DSR, ACP Journal Club, DARE, CCTR, CMR, HTA, and NHSEED, were conducted. After de-duplication, 4234 titles and abstracts were reviewed. Altogether 4036 articles were excluded following screening of titles, abstracts and full text. A total of 198 articles included for final data extraction. RESULTS: Few studies originated from outside North America and Europe. No study reported using an underlying theory or framework of quality/effectiveness to guide study design or analyses. We did not identify any studies that had involved a controlled trial--randomised or otherwise--of ethics review procedures or processes. Studies varied substantially with respect to outcomes assessed, although tended to focus on structure and timeliness of ethics review. DISCUSSION: Our findings indicate a lack of consensus on appropriate assessment criteria, exemplified by the varied study outcomes identified, but also a fragmented body of research. To date research has been largely quantitative, with little attention given to stakeholder experiences, and is largely cross sectional. A lack of longitudinal research to date precludes analyses of change or assessment of quality improvement in ethics review.
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
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | MetaresearchResearch integrity Domain: Evaluation · Genre: Review About the Canadian research system: no · About a Canadian topic: no | Systematic review | low |
| gpt | MetaresearchResearch integrity Domain: Methods · Genre: Review About the Canadian research system: no · About a Canadian topic: no | Systematic review | high |
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 | 0.399 | 0.720 |
| Meta-epidemiology (narrow) | 0.002 | 0.003 |
| Meta-epidemiology (broad) | 0.010 | 0.008 |
| Bibliometrics | 0.067 | 0.055 |
| Science and technology studies | 0.005 | 0.008 |
| Scholarly communication | 0.018 | 0.016 |
| Open science | 0.005 | 0.009 |
| Research integrity | 0.006 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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, unvalidatedLabeled directly by 2 models reading the full record.
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".