Sample size algorithm for incremental cost-effectiveness ratio analysis

• Main Authors: Yi-Hsuan Chang, 張沂瑄
• Other Authors: Chien-Hua Wu
• Format: Others
• Language: zh-TW
• Published: 2014
• Online Access: http://ndltd.ncl.edu.tw/handle/d6g4f5

碩士 === 中原大學 === 應用數學研究所 === 102 === The biggest challenge of National Health Insurance (NHI) in Taiwan is to maintain the financial balance and provide good quality of medical service because it has to pay necessary remuneration to medical institutions, but only collect limited inexpensive insurance premium. The financial status of NHI becomes a concern because its medical budget is increasing year by year due to some inevitable factors, such as the aging population, expensive medical research and development and global economic recession. Simply speaking, the premium income is also far less than medical costs. However, raising premium benchmark or drug payment adjustment will result in some criticism from the public. Therefore, it is crucial to avoid unnecessary medical waste and reallocate the limited medical resources appropriately. This dissertation studies the calculation of sample size in the drug treatment that can be utilized in the real world to avoid excessive waste of resources and reduce the medical cost in terms of Cost-Effectiveness Analysis, Incremental Cost-effectiveness Ratio Analysis (ICER) and Incremental Net Benefit (INB). Keywords: Cost-Effectiveness Analysis, Incremental Cost-effectiveness Ratio Analysis, Incremental Net Benefit, significant level, power, confidence interval, sample size.