Actors involved in the regulation of clinical research: comparison of Finland to England, Canada, and the USA
Bibliographic record
Abstract
BACKGROUND: The relevance and quantity of clinical research has caused concern and regulation is claimed to hinder clinical research. This paper compares clinical research regulations in Finland to those of England, Canada, and the USA around 2010-2011. METHODS: Several approaches and data sources were used, including semi- or unstructured interviews of experts. For the analysis, a theoretical framework was made, data from various sources was synthesized, and features of the systems were simplified and classified. The various specific names and terms used in the data were changed into general ones. RESULTS: Common structures for the regulation existed in all four countries, but the details and scope varied. The research regulated within the main system was determined by research type (Finland), the financer of the health system (England), or research site (Canada, USA). Only Finland had specific legislation on medical research. The overriding impression of the regulatory systems was one of complexity. All countries had extra regulation for drug research. The types of drug research covered varied from trials with unlicensed (new) products or new indications (USA and Canada), to all types of interventional drug research (England), where 'interventional' was interpreted broadly (Finland). The complexity of regulations had led to the creation of various big and small businesses to help researchers and sponsors. There was notable variation in the role played by the public research funder. The role played by health care was difficult to study and seemed to involve varying interests as researchers were also health care employees. Research ethics committees were important and their tasks also included aspects other than ethics. CONCLUSIONS: This study revealed that a comparison between countries can provide useful insights into the distinctive aspects of each country's system, as well as identifying common features that require international action.
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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 | Research integrity Domain: not available · Genre: Empirical About the Canadian research system: yes · About a Canadian topic: yes | Qualitative | low |
| gpt | Metaresearch Domain: Evaluation · Genre: Empirical About the Canadian research system: yes · About a Canadian topic: yes | Observational | high |
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 | 0.189 | 0.163 |
| 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 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| 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, unvalidatedLabeled directly by 2 models reading the full record.
The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.
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".