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Using National Health Insurance Database to Evaluate the Health Care Utilization of Taiwan's Elderly
Yue, Jack C.
|Issue Date: ||2020-06-20 14:14:50 (UTC+8)|
Population ageing is speeding up in Taiwan due to the lower fertility rates and declining mortality rates. Thus, the life arrangements after retirement have been receiving a lot of attention in recent years, and more public resources have been allocated to elderly-related policies. The elderly's needs can be classified into three categories: finances, medical utilization, and living care, and many countries have devoted efforts in seeking the solutions to fulfill these needs. However, it is a difficult task, since we don't have enough information about the elderly. Take the study of mortality improvement and life expectancy as an example. The trend toward longer lives surprises many people, and the annual increment in life expectancy is still over 0.2 years in many countries. Underestimation of life expectancy causes financial insolvency in public insurance systems and the private sector. Our study goal is to explore the medical needs of Taiwan's elderly via estimating their medical utilization, such as inpatient and outpatient visits. The study material is a sample data set of one million elderly people from Taiwan's National Health Insurance Database. The sample coverage is about 45.7%, i.e., almost one in two of Taiwan's elderly are drawn, and this big data sample can greatly reduce the sampling bias and increase the accuracy of estimation. For example, we used this sample data to estimate the elderly mortality rates and found that they are very close to the official statistics. Also, the medical utilization of Taiwan's elderly has a high degree of inertia.
|Relation: ||人口學刊, No.58, pp.99-131|
|Data Type: ||article|
|DOI 連結: ||https://doi.org/10.6191/JPS|
|Appears in Collections:||[統計學系] 期刊論文|
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