Considerations when utilizing quantitative bias analysis for unmeasured confounding in HTA: an interview with Seamus Kent

In this interview with Seamus Kent of the National Institute for Health and Care Excellence (NICE; London, UK), Seamus shares his expertise on the utilization of qualitative bias analysis (QBA) to deal with confounding in non-randomized studies (NRS). Specifically, following Seamus’ publication in the Journal of Comparative Effectiveness Research, we discuss the background of QBA in NRS, how QBA can deal with confounding effects, the implications of this in facilitating informed reimbursement decisions and much more. Please could you introduce yourself, your organization(s) and provide a brief summary of your career to date? My name is Seamus Kent. I am...