Exploring the approach to parameter uncertainty in early economic evaluations of surgical technology - a systematic review

Browne, IL (通讯作者),Univ Calgary, Dept Surg, Calgary, AB, Canada.
2023-1-2
Introduction The role of early economic evaluation (EEE) in the development of medical technology has been increasingly recognized; however, data on the use of EEE in surgical technology are sparse. The objective of this review was to explore the use of EEE in the development of surgical technologies, with emphasis on how uncertainty has been addressed. Areas covered A systematic review was conducted, and original articles employing any form of EEE of surgical technology were selected for review, with 10 studies included in the analysis. These studies demonstrated significant variation in the approach to managing parameter uncertainty, specifically regarding the type of analysis used and the inclusion of effectiveness parameters in sensitivity analysis. The conclusions drawn did not appear to factor in uncertainty in the models. Expert opinion Approaches to handling parameter uncertainty in previous EEEs of surgical technology have been limited, with some studies failing to address parameter uncertainty. In addition, EEEs do not appear to follow established guidelines with respect to the use of sensitivity analyses. It is important that EEEs of surgical technology address parameter uncertainty in order to draw more robust conclusions from the analysis and allow investors to consider this uncertainty when making investment decisions.
EXPERT REVIEW OF PHARMACOECONOMICS & OUTCOMES RESEARCH
卷号:23|期号:1|页码:29-41
ISSN:1473-7167|收录类别:SCIE
语种
英语
来源机构
University of Calgary; University of British Columbia; St. Paul's Hospital; University of Saskatchewan
资助信息
This paper was supported in part by a grant from BioTalent Canada. BioTalent Canada had no role in the design, methods, data collection, analysis, data interpretation, or preparation of this manuscript. W Zhang acknowledges support by a Michael Smith Foundation for Health Research (MSFHR) Scholar Award. MSFHR had no role in the design, methods, data collection, analysis, data interpretation, or preparation of this manuscript.
被引频次(WOS)
0
被引频次(其他)
0
180天使用计数
0
2013以来使用计数
0
EISSN
1744-8379
出版年
2023-1-2
DOI
10.1080/14737167.2023.2145946
学科领域
循证公共卫生
关键词
Cost-effectiveness early economic analysis economic evaluation expected value of perfect information headroom analysis medical devices modeling probabilistic sensitivity analysis sensitivity analysis surgical technology
资助机构
BioTalent Canada Michael Smith Foundation for Health Research (MSFHR) Scholar Award(Michael Smith Foundation for Health Research)
WOS学科分类
Health Care Sciences & Services Health Policy & Services Pharmacology & Pharmacy