Abstract
Decision makers often struggle with how to make a decision to test everyone or not for a disease. As we all know, health-care decision making must be based on plenty of scientific evidences instead of gambling. On the other hand, any decision might have to take a certain risk because uncertainty always exists in the real world. The key question is how to understand and measure the risk of decision making.
This chapter starts from several relevant concepts in epidemiology, biostatistics, and health econometrics because these concepts are the foundation to understand the entire chapter, such as sensitivity, specificity, incidence, mortality, and cost. Then, this chapter discusses all determinants for testing everyone in detail. Furthermore, a practicable question tool is developed in order to help us make a quick decision on testing everyone or not.
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Ren, J. (2016). Epidemiological Principles Applied to CER. In: Asche, C. (eds) Applying Comparative Effectiveness Data to Medical Decision Making. Adis, Cham. https://doi.org/10.1007/978-3-319-23329-1_5
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DOI: https://doi.org/10.1007/978-3-319-23329-1_5
Publisher Name: Adis, Cham
Print ISBN: 978-3-319-22064-2
Online ISBN: 978-3-319-23329-1
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