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Challenges Associated with the Safety Signal Detection Process for Medical Devices
Josep Pane1,2, Katia M C Verhamme1, Dorian Villegas2
1Department of Medical Informatics, Erasmus Medical Center, University of Rotterdam, Rotterdam, Netherlands.
Medical Devices (Auckland, N.Z.)
|March 4, 2021
Summary
Improving medical device safety requires better signal detection. Current methods lack standardization, necessitating harmonized data sources and established gold standards for proactive surveillance.
Area of Science:
- Medical device safety
- Pharmacovigilance
- Regulatory science
Background:
- Previous medical device safety issues highlight the need for enhanced safety signal detection.
- European Union (EU) regulations mandate active monitoring of medical device safety signals.
- National competent authorities are increasing focus on vigilance data analysis.
Purpose of the Study:
- To synthesize the current knowledge on medical device safety signal detection.
- To investigate existing tools and methodologies for detecting safety signals in medical devices.
Main Methods:
- Systematic literature review conducted across multiple databases (Embase, Medline, Cochrane, Web of Science, Google Scholar) until January 2017.
- Article selection based on terms related to medical devices and safety, followed by abstract and full-text review.
- Data extraction and completeness scoring of included articles.
Main Results:
- 24 out of 20,819 articles met inclusion criteria.
- Diverse data sources, including spontaneous reporting systems and registries, are used for medical device safety surveillance.
- Significant heterogeneity exists in coding practices, with no universally agreed-upon methods or a gold standard for signal detection.
Conclusions:
- Recommendations include harmonizing data sources, developing gold standard signal detection methodologies, and standardizing coding dictionaries.
- Implementation of a new proactive approach to signal detection is supported by these recommendations.
- The envisioned safety surveillance system will leverage real-world evidence for regulatory decision-making across jurisdictions.
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