Expert elicitation to inform a cost effectiveness analysis of screening for renal cancer: methodological and practical considerations

Rossi, Sabrina, Stewart, Grant and Wilson, Edward ORCID: https://orcid.org/0000-0002-8369-1577 (2019) Expert elicitation to inform a cost effectiveness analysis of screening for renal cancer: methodological and practical considerations. Value in Health, 22 (9). pp. 981-987. ISSN 1098-3015

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Abstract

Background: Population screening for renal cell carcinoma (RCC) using ultrasound has the potential to improve survival outcomes; however a cost-effectiveness analysis (CEA) has yet to be performed. Due to the lack of existing evidence, we performed structured expert elicitation to derive unknown quantities to inform the CEA. Objectives: To elicit the cancer stage distribution (proportion of individuals with each stage of cancer) for different RCC screening scenarios and the annual transition probabilities for undiagnosed disease becoming diagnosed in the NHS. Methods: The study design and reporting adhered to the Reporting Guidelines for the Use of Expert Judgement in Model-Based Economic Evaluations. The elicitation was conducted face-to-face or via telephone between each individual expert and the facilitator, aided by online material. For multinomial data, Connor Mosimann and modified Connor Mosimann distributions were fitted for each expert and for all experts combined using mathematical linear pooling. Results: A total of 24 clinical experts were invited, and 71% participated (7 urologists, 6 oncologists, 4 radiologists). The modified Connor Mosimann distribution provided the best fit for the majority of elicited quantities. Greater uncertainty was noted for the elicited transition probabilities compared to the elicited stage distributions. Conclusion: We performed the first expert elicitation of RCC screening parameters, crucial information which will inform the CEA of screening. Additionally, the elicited quantities may enable future health economic evaluations assessing the value of diagnostic tools and pathways in RCC.

Item Type:	Article
Uncontrolled Keywords:	sdg 3 - good health and well-being ,/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_being
Faculty \ School:	Faculty of Medicine and Health Sciences > Norwich Medical School
UEA Research Groups:	Faculty of Medicine and Health Sciences > Research Groups > Health Economics Faculty of Medicine and Health Sciences > Research Groups > Public Health and Health Services Research (former - to 2023) Faculty of Medicine and Health Sciences > Research Centres > Population Health
Depositing User:	LivePure Connector
Date Deposited:	22 Mar 2019 11:30
Last Modified:	06 Jun 2024 15:05
URI:	https://ueaeprints.uea.ac.uk/id/eprint/70316
DOI:	10.1016/j.jval.2019.03.018

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