SYSTEMATIC OVERVIEW ON VALUE-OF INFORMATION ANALYSES IN CANCER RESEARCH
Author(s)
Rochau U1, Schnell-Inderst P2, Burger EA3, Baldauf M4, Kühne F4, Jahn B4, Siebert U5
1UMIT - University for Health Sciences, Medical Informatics and Technology/ ONCOTYROL - Center for Personalized Cancer Medicine, Hall in Tyrol/ Innsbruck, Austria, 2UMIT - University for Health Sciences, Medical Informatics and Technology, Hall i.T.;Innsbruck, Austria, 3University of Oslo, Oslo, Norway, 4UMIT - University for Health Sciences, Medical Informatics and Technology, Hall in Tyrol, Austria, 5Medical Informatics and Technology, and Director of the Division for Health Technology Assessment and Bioinformatics, Oncotyrol, Hall i. T, Austria
OBJECTIVES Value of information (VoI) analysis helps to set priorities for future research by quantifying the value of collecting additional information. Determining whether further evidence is required is especially important in oncology, where novel, but expensive therapies with substantial uncertainty are emerging every day. We aim to provide an overview of published VoI studies within cancer medicine and summarize their methodological characteristics. METHODS We performed a systematic literature review using Pubmed to identify VoI analyses applied within cancer research. Studies exploring topics merely related to methodology were excluded. The search terms were refined following the recent publication by Tuffaha et al. 2014. Screening of articles was performed by two independent reviewers. We extracted characteristics, such as health care context, disease, and type of VoI analyses. RESULTS We identified a total of 96 references. Overall, 35 articles were included for analysis. Nearly one-half (16) of the studies were conducted in the health care context of UK, eight in the US, five in Finland, three in the Netherlands, and one in Canada, France and Denmark. Disease areas included breast cancer (26%), non-small-cell lung cancer (14%), colorectal cancer (14%), esophageal cancer (9%) non-Hodgkin lymphoma (6%) and prostate cancer (6%). Nearly all of the studies conducted expected value of perfect information (EVPI) analysis and about one-half expected value of partial information (EVPPI). One study reported on expected value of individualized care, and only three studies did sample size and trial cost estimations. CONCLUSIONS VoI analyses are becoming a more commonly applied method, following standard calculations of cost-effectiveness, to assess the value of further research. Simpler techniques, such as EVPI and EVPPI were reported more frequently compared to the computationally more demanding calculations of EVSI and ENBS, which often require complex statistical methods and estimates of a study’s costs need to be derived.
Conference/Value in Health Info
2014-11, ISPOR Europe 2014, Amsterdam, The Netherlands
Value in Health, Vol. 17, No. 7 (November 2014)
Code
PRM94
Topic
Methodological & Statistical Research
Topic Subcategory
Modeling and simulation
Disease
Oncology
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