earticle

논문검색

Bio or medical Information Technology (BIT)

Prediction of Veterans Care Demand and Supply System for Veterans

초록

영어

The rapid aging of the veterans has reached a level that cannot handle the demand for veterans care through the existing veterans care infrastructure. Therefore, it is urgent to improve the quality of the overall service of veterans due to the deterioration of the quality of nursing services for veterans with various underlying diseases compared to general patients and the long-term waiting for admission to the veterans care center. In this situation, about 640,000 people are admitted to veterans care institutions, but only about 5% of them can enter the veterans care center smoothly. As of June 2020, the number of people waiting to enter the veterans care center exceeds 1,000, including 520 at Suwon Veterans Nursing Home, 1 at Gwangju Veterans Nursing Home, 47 at Gimhae Veterans Nursing Home, 39 at Daegu Veterans Nursing Home, 86 at Namyangju Veterans Nursing Home.. Therefore, in order to predict those who want to enter the Veterans Nursing Home and wait for admission, and to find an important basis for resolving the long-term atmosphere, the ratio of future care providers is predicted in 2022-2050 and 2022-2024 to establish a cooperative system. As a result, 6,988 people in 2022, 6,797 people in 2023, and 6,606 people in 2024 can be admitted when 'preferred linkage', and 12,057 people in 2022 when 'expanded linkage'. It was found that 11,837 people in 2023 and 11,618 people in 2024 could be admitted. This was derived by estimating the percentage of people who wish to enter the Veterans Nursing Home when linking private nursing homes, and eventually "additional acceptance" of 22.5% in 2022, 20.9% in 2023, 19.4% in 2024, and 38.8% in 2023, 36.3% in 2023, and 34.1% in 2024 are most efficiently available.

목차

Abstract
1. Introduction
2. Reviews of Previous Research
3. Method
4. Results
4.1 Current Status and Estimation Results of Long-Term Care Class Recognition Rate
4.2 Analysis of the estimation results of those who wish to enter the Veterans Nursing Home and those who enter the Veterans Nursing Home
4.3 Estimated results of the residents of the Veterans Nursing Home
4.4 Prediction of Inpatients and Waiting Persons in Veterans Nursing Home
4.5 Prediction of Spare Beds in Private Nursing Homes
5. Discussions and Conclusion
References

저자정보

  • Tae Gyu Yu Associate Professor, Department of Human Care., Namseoul University

참고문헌

자료제공 : 네이버학술정보

    함께 이용한 논문

      ※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.

      0개의 논문이 장바구니에 담겼습니다.