| Literature DB >> 35693296 |
Abstract
This study analyzes the potential effects of a reform based on community integrated care in Korea, which is experiencing a high rate of population aging, and a specific method for financial integration. We first analyze the size and trend of funds used for the care for the elderly out of Korea's health insurance, long-term care insurance, and national budget. We then analyze the amount of financial resources required and the cost-saving effect when the related financial resources are converted into local community care funds. This approach sheds light on the possibility of harmonizing healthcare policy for the elderly and integrated care under the existing insurance system and suggests a direction for reform in policies pertaining to healthcare for the elderly. Given that the same services are provided, we find that combining the finances from the insurance and the national budget would result in a fund of KRW 2.6 trillion to KRW 4.7 trillion. This approach also confirms that health care costs for the elderly can be reduced by 1-5% in the long term, which we estimate to be between KRW 1 trillion to KRW 4 trillion by 2050. We find that by tapping into the national budget to manage the pre-medical stage care, we can utilize an efficient operation mechanism unlike insurance. We also confirm that information exchange and harmonious operation between the national budget and state-run insurance as well as feedback and incentives through performance management are necessary for these results to become a reality. Copyright:Entities:
Keywords: community care; financial integration; health insurance; long-term care; public finance
Year: 2022 PMID: 35693296 PMCID: PMC9165675 DOI: 10.5334/ijic.6465
Source DB: PubMed Journal: Int J Integr Care Impact factor: 2.913
Estimate of Ratio of Patient group in new scheme.
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| PATIENT GROUP | NUMBER OF PATIENT | RATIO (%) |
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| Total | 438,563 | 100.0 |
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| Top-level medical needs | 8,022 | 1.8 |
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| High-level medical needs | 100,544 | 22.9 |
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| Middle-level medical needs | 108,697 | 24.8 |
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| Light-level medical needs | 47,596~99,848 | 11.2~22.8 |
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| Social Admission | 121,452~173,704 | 27.7~39.4 |
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Eligibility levels for long-term Care.
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| LEVEL | MENTAL AND PHYSICAL STATUS | LONG-TERM CARE APPROVAL SCORE |
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| 1 | Requires help in all aspects of daily life | ≥95 |
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| 2 | Requires help in most parts of daily life | ≥75 and <95 |
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| 3 | Requires help in part of daily life | ≥60 and <75 |
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| 4 | Requires some help for daily living because of functional disability | ≥51 and <60 |
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| 5 (Special level of dementia) | Dementia with limited functional decline | ≥45 and <51, dementia |
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| 6 (Cognition-supporting level) | Dementia with intact physical function | <45, dementia |
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Budget for senior care project by region in Korea (As of 2019, KRW 1 million).
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| REGION (MAJOR CITY AND PROVINCE) | TOTAL BUDGET | POPULATION SHARE | NATIONAL BUDGET | NATIONAL BUDGET SHARE | MAJOR CITY AND PROVINCE BUDGET | MAJOR CITY AND PROVINCE BUDGET SHARE | COUNTY AND DISTRICT BUDGET | COUNTY AND DISTRICT BUDGET SHARE | SHARE OF THE ELDERLY POPULATION | LONG-TERM CARE INSURANCE APPLICATION SHARE |
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| Gangwon | 35,711 | 5.2 | 25,121 | 70.3 | 2,773 | 7.8 | 7,817 | 21.9 | 3.8 | 4.1 |
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| Gyeonggi | 93,606 | 13.5 | 64,462 | 68.9 | 3,676 | 3.9 | 25,276 | 27 | 20.6 | 19.9 |
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| Gyeongnam | 65,381 | 9.4 | 46,172 | 70.6 | 8,149 | 12.5 | 11,060 | 16.9 | 6.8 | 7.4 |
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| Gyeongbuk | 73,504 | 10.6 | 54,337 | 73.9 | 7,895 | 10.7 | 11,272 | 15.3 | 6.8 | 7.7 |
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| Gwangju | 34,868 | 5 | 22,268 | 63.9 | 9,978 | 28.6 | 2,622 | 7.5 | 2.4 | 3 |
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| Dae-gu | 36,342 | 5.3 | 23,781 | 65.4 | 10,378 | 28.6 | 2,183 | 6 | 4.7 | 4.3 |
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| Daejeon | 15,939 | 2.3 | 10,752 | 67.5 | 4,630 | 29 | 557 | 3.5 | 2.5 | 2.8 |
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| Busan | 62,115 | 9 | 37,664 | 60.6 | 16,895 | 27.2 | 5,706 | 9.2 | 7.7 | 6.3 |
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| Seoul | 67,398 | 9.7 | 16,862 | 25 | 42,656 | 63.3 | 7,880 | 11.7 | 18.4 | 14.2 |
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| Sejong | 1,604 | 0.2 | 878 | 54.8 | 725 | 45.2 | 0 | 0 | 0.4 | 0.4 |
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| Ulsan | 9,402 | 1.4 | 6,679 | 71 | 1,681 | 17.9 | 1,043 | 11.1 | 1.6 | 1.4 |
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| Incheon | 24,162 | 3.5 | 16,065 | 66.5 | 4,393 | 18.2 | 3,704 | 15.3 | 4.8 | 5 |
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| Jeonnam | 47,903 | 6.9 | 34,113 | 71.2 | 4,747 | 9.9 | 9,043 | 18.9 | 5.3 | 6.8 |
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| Jeonbuk | 60,512 | 8.7 | 44,072 | 72.8 | 7,710 | 12.7 | 8,730 | 14.4 | 4.6 | 6.2 |
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| Jeju | 6,909 | 1 | 4,260 | 61.7 | 451 | 6.5 | 0 | 0 | 1.3 | 1.3 |
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| Chungnam | 37,874 | 5.5 | 26,813 | 70.8 | 6,058 | 16 | 5,003 | 13.2 | 4.8 | 5.6 |
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| Chungbuk | 18,997 | 2.7 | 12,193 | 64.2 | 1,778 | 9.4 | 5,026 | 26.5 | 3.4 | 3.6 |
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| Total | 692,227 | 446,493 | 64.5 | 134,573 | 19.4 | 106,921 | 15.4 | |||
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Income, Subsidy and Expenditure of NHI and LTCI(KRW 100 million).
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| 2017 | 2018 | 2019 | 2020 | ||
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| National Health Insurance | Premium income | 495,138 | 533,168 | 581,010 | 634,901 |
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| National Subsidy | 51,512 | 54,734 | 59,721 | 70,826 | |
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| Proportion of National Subsidy | 10.4% | 10.3% | 10.3% | 11.2% | |
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| Total Expenditure | 571,633 | 633,199 | 708,605 | 770,171 | |
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| Long-Term Care Insurance | Premium income | 32,368 | 38,525 | 48,272 | 63,229 |
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| National Subsidy | 5,822 | 7,107 | 8,912 | 12,414 | |
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| Proportion of National Subsidy | 18.0% | 18.4% | 18.5% | 19.6% | |
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| Total Expenditure | 54,839 | 70,103 | 82,486 | 96,759 | |
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Finance integration scenario for integrated care in Korea.
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| SOURCE OF FUND | CATEGORY | (AS OF 2019, KRW 100 MILLION) |
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| ESTIMATED SIZE OF FUND | ||
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| 26,860–47,266 | ||
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| Government Subsidy | 1,379–4,735 | |
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| Conversion of insurance income | Level 5 and cognitive level of long-term care insurance | 6,837–9,387 |
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| Elective hospitalization group of NHI | 4,800–19,300 | |
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| Transfer of existing Project funded by budget | 6,922 | |
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| Care Project by Central Government | 4,464 | |
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| Care Project by Local Government | 2,458 | |
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Fiscal Integration and Fiscal Savings Scenarios.
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| NATIONAL BUDGET | LONG TERM CARE | SOCIAL ADMISSION COVERED BY NHI | TOTAL | REDUCTION SCALE | REDUCTION SCALE RATIO | ||||||||||
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| (1) | (2) | (3) | (4) | (5) | (6) | (7) | (8) | (9) | (10) | (11) | (12) | (13) | (14) | (15) | |
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| (UNIT: 100 MILLION, %) | EXISTING SCENARIO | MINIMUM ADJUSTMENT SCENARIO | MAXIMUM ADJUSTMENT SCENARIO | EXISTING SCENARIO | ADJUSTMENT SCENARIO | EXISTING SCENARIO | MINIMUM ADJUSTMENT SCENARIO | MAXIMUM ADJUSTMENT SCENARIO | EXISTING SCENARIO | MINIMUM ADJUSTMENT SCENARIO | MAXIMUM ADJUSTMENT SCENARIO | MINIMUM REDUCTION SCALE | MAXIMUM REDUCTION SCALE | MINIMUM REDUCTION RATE | MAXIMUM REDUCTION RATE |
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| 2025 | 9,363 | 20,325 | 32,880 | 159,988 | 153,183 | 79,925 | 72,998 | 52,073 | 249,277 | 246,506 | 238,136 | –2,771 | –11,141 | –1.1 | –4.5 |
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| 2030 | 13,510 | 29,704 | 47,100 | 250,491 | 240,056 | 110,742 | 101,144 | 72,151 | 374,743 | 370,904 | 359,307 | –3,839 | –15,437 | –1.0 | –4.1 |
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| 2035 | 16,702 | 40,452 | 63,908 | 392,164 | 376,178 | 149,317 | 136,376 | 97,283 | 558,183 | 553,007 | 537,369 | –5,176 | –20,814 | –0.9 | –3.7 |
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| 2040 | 19,842 | 54,659 | 84,918 | 617,352 | 592,552 | 192,626 | 175,931 | 125,499 | 829,819 | 823,142 | 802,969 | –6,678 | –26,851 | –0.8 | –3.2 |
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| 2045 | 23,841 | 73,554 | 111,106 | 934,271 | 896,989 | 239,053 | 218,335 | 155,747 | 1,197,165 | 1,188,878 | 1,163,843 | –8,287 | –33,322 | –0.7 | –2.8 |
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| 2050 | 28,258 | 95,098 | 139,867 | 1,315,697 | 1,263,677 | 284,992 | 260,292 | 185,678 | 1,628,947 | 1,619,067 | 1,589,221 | –9,880 | –39,726 | –0.6 | –2.4 |
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