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Development of the Medical Device Economic Evaluation Methodological Quality (DEEM-Q) Assessment Checklist
Ilke Akpinar1, Jeff Round2, Mike Paulden1
1School of Public Health, University of Alberta, Edmonton, AB, Canada.
Objectives:
Economic evaluations increasingly inform adoption and reimbursement decisions for medical devices; yet, existing quality assessment tools were largely developed for pharmaceuticals and may not adequately capture device-specific methodological challenges. The objective of the medical Device Economic Evaluation Methodological Quality assessment study was to develop a consensus-based instrument for assessing the methodological quality of economic evaluations of medical devices.
Methods:
Candidate items were identified through a systematic review of existing methodological quality assessment tools and economic evaluation guidelines, including those from Canada's Drug Agency. A 2-round modified e-Delphi study was conducted with 40 health economists experienced in Canadian medical device evaluation (response rates: 100% and 90% for rounds 1 and 2, respectively). Using a 9-point importance scale, items were retained if ≥70% of participants rated them as critical (scores 7-9) and ≤15% rated them as not important (scores 1-3). The resulting checklist underwent pilot testing for clarity, applicability, and consistency.
Results:
The initial 49 items were refined to 39, covering general economic evaluation domains (decision problem, comparators, perspective, time horizon, modeling, analysis, and uncertainty) and device-specific considerations (evidence gaps, learning curve, organizational impacts, incremental innovation, and diversity). Pilot testing confirmed clarity and consistent application.
Conclusions:
The Device Economic Evaluation Methodological Quality assessment represents the first consensus-based checklist for assessing the methodological quality of medical device economic evaluations. It provides a practical tool for researchers, reviewers, and decision makers. A companion explanation and elaboration document has been developed to support consistent interpretation and application across decision contexts.
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