Publication | Closed Access
Designing Premarket Observational Comparative Studies Using Existing Data as Controls: Challenges and Opportunities
58
Citations
18
References
2014
Year
Quasi-experimentPropensity Score MethodologyCausal InferencePreventive MedicineData ScienceAdverse EventMedical DevicesRandomized Controlled TrialPublic HealthMedical GuidelineStatisticsMethodological DevelopmentHealth PolicyOutcomes ResearchResearch SynthesisEpidemiologyMedical Device RegulationClinical EffectivenessPatient SafetyComparative MethodologyDrug TrialMedicineSurvey MethodologyEmergency Medicine
Due to the special nature of medical device clinical studies, observational (nonrandomized) comparative studies play important roles in the premarket safety/effectiveness evaluation of medical devices. While historical data collected in earlier investigational device exemption studies of a previously approved medical device have been used to form control groups in comparative studies, high-quality registry data are emerging to provide opportunities for the premarket evaluation of new devices. However, in such studies, various biases could be introduced in every stage and aspect of study and may compromise the objectivity of study design and validity of study results. In this article, challenges and opportunities in the design of such studies using propensity score methodology are discussed from regulatory perspectives.
| Year | Citations | |
|---|---|---|
Page 1
Page 1