Journal
BMJ OPEN
Volume 13, Issue 8, Pages -Publisher
BMJ PUBLISHING GROUP
DOI: 10.1136/bmjopen-2023-073353
Keywords
health informatics; information technology; health economics; oncology
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This perspective examines the emerging role of administrative data for economic analyses in cancer. Compared with clinical trial data, administrative data have several advantages including high capture rates, less resource utilization, low misclassification rates, long follow-up periods, and the ability to collect data points not traditionally captured in trials. However, limitations such as accurate data linkage, time lag, and limited data on quality of life and indirect costs exist. The use of administrative data sets presents a unique opportunity to complement and validate economic analyses based on trial-level data in oncology.
BackgroundEconomic analyses based on clinical trial data are costly and time consuming, and alternative methods for performing economic analyses should be explored. Objective and methodsIn this perspective, we examine the emerging role of administrative data for economic analyses in cancer. ResultsCompared with routinely collected clinical trial data, routinely collected administrative data have several strengths including high capture rates for healthcare encounters, less resource utilisation, low rates of misclassification, long follow-up periods and the opportunity to collect data points not traditionally captured in clinical trials. However, there are also limitations including the need for accurate data linkage across multiple databases and systems, the costs and time associated with data linkage, the potential time lag between trial data collection and the availability of administrative data, and limited data on quality of life, toxicity and indirect costs. In this perspective, we identify important barriers and potential solutions to performing economic analyses for oncology using administrative data, and outline strategies to increase research in this field. ConclusionThe use of routinely collected administrative data sets for economic analyses of clinical trials presents a unique opportunity that could complement and validate economic analyses based on trial-level data.
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