조기 경제성평가에 따른 불확실성 존재 하에서 의사결정을 위한 VOI 이해 및 활용

• 영문명: Value of Information for Decision Making under Uncertainty
• 발행기관: 대한약학회
• 저자명: 임은아(Eun-A Lim) 강대원(Daewon Kang) 신경선(Gyeong-Seon Shin) 최상은(Sang-Eun Choi)
• 간행물 정보: 『약학회지』제64권 제1호(2020년), 1~7쪽, 전체 7쪽
• 주제분류: 의약학 > 기타의약학
• 파일형태: PDF
• 발행일자: 2020.02.29

영문 초록

The value of information (VOI) is the value of additional information, as a quantitative estimate which presents the result as a monetary value. The VOI helps to make decisions under uncertainty. The importance of VOI is growing due to the increase of early market approval of new technologies. The theoretical framework of VOI is based on the Bayesian decision theory. VOI analysis estimates the expected costs associated with making a wrong decision due to uncertainty. This implies that a new information is more valuable when a VOI is large. There are parametric and nonparametric methods to estimate VOIs and non-parametric methods are commonly used. To estimate VOI, a non-parametric method calculates the difference of potential values between decision with perfect information and decision under uncertainty. The decision to conduct a new research is made when the population VOI estimate is larger than the expected cost of conducting the additional research. There are three key measurements in VOI. The expected value of perfect information (EVPI) is perfect information for the whole parameters, the expected value of perfect parameter information (EVPPI) is perfect information for a parameter or a set of parameters, and the expected value of sample information (EVSI) provides information of new study design. VOI analysis may require a lot of computational time but efficient software programs have been introduced.

목차

서 론(Introduction)

VOI 기본개념 및 종류

VOI 분석에서 고려하는 불확실성의 범위

VOI 분석법 및 결과에 영향을 미치는 요인

보건의료분야에서 VOI 활용

VOI를 활용한 연구의 최근 동향

VOI 분석의 순서 및 관련 분석 프로그램

VOI 분석관련 이슈 및 고려사항

결 론(Conclusion)

감사의 말씀(Acknowledgment)

Conflict of Interest

References

키워드

Early economic evaluation value of information VOI decision uncertainty EVPI