Findings on Information Technology Detailed by Investigators at National Chengchi University (Using the Taiwan National Health Insurance Database To Explore the Need for Long-term Care): Information Technology

2024 MAY 01 (NewsRx) -- By a News Reporter-Staff News Editor at Information Technology Business Daily -- A new study on Information Technology is now available. According to news reporting from Taipei, Taiwan, by NewsRx journalists, research stated, “Several factors contribute to the lack of long-term care (LTC) insurance in Taiwan, insufficient data and an absence of unified definitions of LTC are two of them. In this study, we use LTC-related catastrophic illness (CI) as the assessment criteria to investigate the demand for LTC insurance.”

The news correspondents obtained a quote from the research from National Chengchi University, “We selected 13 categories of CI and explored the spatial-temporal properties of LTC incidence rates and mortality rates from the National Health Insurance Research Database. The study shows that the incidence rates did not change much, while mortality rates decreased significantly. Taiwan’s LTC population, which was 0.29 million in 2013, is accordingly expected to triple before 2040 based on the proposed cohort change ratio approach. Currently, Taiwan’s government has planned to fund LTC insurance via a pay-as-you-go system.”

According to the news reporters, the research concluded: “Furthermore, the increasing LTC population indicates that commercial insurance can play a vital role as a supplement to social LTC insurance.”

This research has been peer-reviewed.

For more information on this research see: Using the Taiwan National Health Insurance Database To Explore the Need for Long-term Care. The Geneva Papers on Risk and Insurance Issues and Practice, 2024. The Geneva Papers on Risk and Insurance Issues and Practice can be contacted at: Palgrave Macmillan Ltd, Brunel Rd Bldg, Houndmills, Basingstoke RG21 6XS, Hants, England.

Our news journalists report that additional information may be obtained by contacting Jack C. Yue, National Chengchi University, Dept. of Statistics, Taipei, Taiwan. Additional authors for this research include Yizhen Liou and Hsin-Chung Wang.

The direct object identifier (DOI) for that additional information is: https://doi.org/10.1057/s41288-024-00323-2. This DOI is a link to an online electronic document that is either free or for purchase, and can be your direct source for a journal article and its citation.

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