| Literature DB >> 31614417 |
Yanzhe Zhang1, Xiao Yu2.
Abstract
Since 2016, 15 pilot cities in China have implemented a long-term care insurance (LTCI) policy. The aim of this research was to explore the outcomes and evaluate the performance of the LTCI policy in the Chinese pilot cities and estimate the willingness of Chinese citizens to expand the formal implementation of LTCI policy in China. We gathered data from 1500 elderly people aged over 60 years in 15 pilot cities (100 surveys for each city) and the effective response rate was 77.8% (1167/1500). We relied on statistical analysis to elicit the outcomes and performance of LTCI implementation and an ordinal logit regression to analyze the factors associated with the extension of the LTCI policy. We examined factors associated with the perception according to sex, age, degree of disability, choices of care, living location, number of children, and monthly income. Among these factors, the relationship between living location and number of children of the family and the outcomes and performance of the LTCI policy in the pilot cities was significant. The rest of the factors showed no significance with the implementation of the LTCI in Chinese pilot cities. This study is among the first to explore the attitudes of Chinese citizens among those who have benefited from the LTCI policy in the pilot cities and contributes to identifying the outcomes of the LTCI in pilot cities to assist policymakers in their further implementation in China.Entities:
Keywords: China; evaluation; long-term care insurance; pilot cities
Mesh:
Year: 2019 PMID: 31614417 PMCID: PMC6843341 DOI: 10.3390/ijerph16203826
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Definitions and descriptions of variables included in the survey (n = 1167).
| Variable | Measurement | Min. | Max. | Percentage ( |
|---|---|---|---|---|
| Sex | 1 = Male | 1 | 2 | 47.0% (548) |
| 2 = Female | 53.0% (619) | |||
| Age | 1 = 60–69 | 1 | 5 | 29.8% (348) |
| 2 = 70–79 | 39.4% (460) | |||
| 3 = 80–89 | 23.0% (268) | |||
| 4 = 90–99 | 6.6% (77) | |||
| 5 = 100 and Above | 1.2% (14) | |||
| Degree of Disability | 1 = Not At All | 1 | 4 | 15.2% (177) |
| 2 = Partly Disable | 19.5% (227) | |||
| 3 = Severe Disable | 41.8% (488) | |||
| 4 = Completely Disable | 23.6% (275) | |||
| Choices of Care | 1 = At Home | 1 | 4 | 71.6% (835) |
| 2 = Local Community | 4.8% (56) | |||
| 3 = Nursing House | 12.1% (141) | |||
| 4 = Hospitals | 11.6% (135) | |||
| Living Location | 1 = Western Cities | 1 | 3 | 17.7% (207) |
| 2 = Inner China Cities | 31.4% (366) | |||
| 3 = Eastern Coast Cities | 50.9% (594) | |||
| Number of Children | 1 = 0 child | 1 | 3 | 10.1% (118) |
| 2 = 1 child | 81.2% (947) | |||
| 3 = 2+ children | 8.7% (102) | |||
| Monthly Income | 1 = 0–999 RMB | 1 | 6 | 17.0% (198) |
| 2 = 1000–1999 RMB | 23.8% (278) | |||
| 3 = 2000–2999 RMB | 17.6% (205) | |||
| 4 = 3000–4999 RMB | 18.0% (210) | |||
| 5 = 5000–7999 RMB | 15.6% (182) | |||
| 6 = 8000 RMB and Over | 8.1% (94) | |||
| Degree of Satisfaction | 1 = Satisfied | 1 | 3 | 72.2% (843) |
| 2 = Neutral | 7.9% (92) | |||
| 3 = Dissatisfied | 19.9% (232) |
Coefficient of ordinal logit regression (n = 1167).
| Variables | Satisfied (%) | Neutral (%) | Dissatisfied (%) | Coefficient (S.E.) | 95% CI | |
|---|---|---|---|---|---|---|
| Gender Male | 391 (71.3%) | 41 (7.5%) | 116 (21.2%) | 0.165 (0.136) | 0.222 | −0.100–0.431 |
| Female | 452 (73.0%) | 51 (8.3%) | 116 (18.7%) | |||
| Age 60–70 | 259 (74.4%) | 23 (6.6%) | 66 (18.0%) | 0.050 (0.630) | 0.937 | −1.186–1.286 |
| 70–80 | 332 (72.2%) | 34 (7.4%) | 94 (20.4%) | 0.117 (0.627) | 0.851 | −1.000–1.345 |
| 80–90 | 183 (68.3%) | 28 (10.4%) | 57 (21.3%) | 0.302 (0.632) | 0.633 | −0.936–1.540 |
| 90–100 | 60 (77.9%) | 2 (2.6%) | 15 (19.5%) | −0.141 (0.676) | 0.834 | −1.466–1.183 |
| 100+ | 9 (64.3%) | 5 (35.7%) | 0 (0.0%) | |||
| Degree of Disability Not At All | 124 (70.1%) | 15 (8.5%) | 38 (21.4%) | 0.298 (0.224) | 0.184 | −0.142–0.738 |
| Partly Disable | 163 (71.8%) | 17 (7.5%) | 47 (20.7%) | 0.193 (0.217) | 0.374 | −0.233–0.619 |
| Severe Disable | 346 (70.9%) | 39 (8.0%) | 103 (21.1%) | 0.214 (0.186) | 0.251 | −0.151–0.579 |
| Completed Disable | 210 (76.4%) | 21 (7.6%) | 44 (16.0%) | |||
| Choice of Care Home | 595 (71.3%) | 72 (8.6%) | 168 (20.1%) | 0.389 (0.241) | 0.107 | −0.083–0.861 |
| Local Community | 41 (73.2%) | 2 (3.6%) | 13 (23.2%) | 0.300 (0.394) | 0.447 | −0.472–1.072 |
| Nursing House | 100 (70.9%) | 9 (6.4%) | 32 (22.7%) | 0.412 (0.300) | 0.169 | −0.176–1.000 |
| Hospitals | 107 (79.2%) | 9 (6.7%) | 19 (14.1%) | |||
| Monthly Income 0–999 RMB | 140 (70.7%) | 16 (8.1%) | 42 (21.2%) | 0.461 (0.309) | 0.135 | −0.144–1.066 |
| 1000–1999 RMB | 195 (70.1%) | 26 (9.4%) | 57 (20.5%) | 0.429 (0.297) | 0.149 | −0.154–1.011 |
| 2000–2999 RMB | 150 (73.2%) | 13 (6.3%) | 42 (20.5%) | 0.344 (0.308) | 0.265 | −0.261–0.948 |
| 3000–4999 RMB | 143 (68.1%) | 19 (9.1%) | 48 (22.8%) | 0.593 (0.305) | 0.052 | −0.004–1.190 |
| 5000–7999 RMB | 140 (92.1%) | 10 (6.6%) | 2 (1.3%) | 0.129 (0.318) | 0.685 | −0.494–0.752 |
| 8000 RMB and Above | 75 (79.8%) | 8 (8.5%) | 11 (11.7%) | |||
| Living Area Western Cities | 169 (81.6%) | 9 (4.4%) | 29 (14.0%) | −0.654 *** (0.203) | 0.001 | −1.052–−0.257 |
| Inner China Cities | 262 (71.6%) | 24 (6.5%) | 80 (21.9%) | −0.083 (0.152) | 0.588 | −0.381–0.216 |
| Eastern Coast Cities | 412 (69.4%) | 59 (9.9%) | 123 (20.7%) | |||
| Number of Children 0 child | 78 (66.1%) | 10 (8.5%) | 30 (25.4%) | −0.603 ** (0.279) | 0.03 | −1.149–−0.057 |
| 1 child | 714 (75.4%) | 69 (7.3%) | 164 (17.3%) | −1.064 *** (0.211) | 0 | −1.477–−0.651 |
| 2+ children | 51 (50.0%) | 13 (12.8%) | 38 (37.2%) | |||
| Observations | ||||||
| Degree of freedom | 20 | |||||
Note: *** p < 0.01 and ** p < 0.05.
The Status of LTCI Implementation.
| City | Responsible Department | Contract Start Date | Service Coverage | The Status of Implementation |
|---|---|---|---|---|
| Chengde | Bureau of Human Resources and Social Security, Chengde, China | 2017.6 | The Participants of UEBMI | LTCI has covered 245,000 people who participated the UEBMI. 899 participants have been benefited by the LTCI services. |
| Changchun | Bureau of Human Resources and Social Security, Jilin Province, China | 2015.5 | The Participants of UEBMI and BMIURR in Jilin Province | There are 35 nursing institutions and 20 professional caring institutions have participated in LTCI. 3892 participants have been provided with professional cares. And 5.568 million RMB has been paid as the reimbursement by government. |
| Qiqihaer | Insurance Regulatory Bureau Heilongjiang Province | 2017.10 | The Participants of UEBMI | There are 31 professional cares institutions that have been initiated in alliance with LTCI. |
| Shanghai | Bureau of Human Resources and Social Security, Shanghai, China; | 2017.1 | The Participants of UEBMI and BMIURR | The LTCI has completed covered. There are 78,000 people has been cared by the professional institutions and 108,000 has been benefited by the LTCI at home. |
| Development and Reform Commission Shanghai, China | ||||
| Bureau of Finance Shanghai, China | ||||
| Nantong | Bureau of Human Resources and Social Security, Nantong, China | 2016.1 | The Participants of UEBMI | There are 1.202 million people Insured in LTCI. The rate of home care and professional institution care is 71:29. |
| Suzhou | Bureau of Human Resources and Social Security, Suzhou, China | 2017.10 | The Participants of UEBMI and BMIURR | Till April 2019, 64.89 million RMB has been paid as the reimbursement of LTCI. |
| Ningbo | Bureau of Human Resources and Social Security, Ningbo, China; | 2017.12 | The Participants of UEBMI | Till March 2018, 1.33 million RMB has been paid as the reimbursement of LTCI which reliefs 1200 RMB to each family monthly. |
| Bureau of Finance, Ningbo, China | ||||
| Anqing | Bureau of Human Resources and Social Security, Anqing, China; | 2017.1 | The Participants of UEBMI | Till January 2019, there are 12 institutions that provide LTCI service in Anqing including 7 elderly care institutions, 4 professional care institutions and 1 family care institution. 4.5633 million RMB has been paid as the LTCI funds. |
| Bureau of Finance, Anqing, China | ||||
| Shangrao | Bureau of Human Resources and Social Security, Shangrao, China; | 2017.7 | The Participants of UEBMI | Till July 2019, there are 2341 people has benefited from LTCI. |
| Qingdao | Bureau of Human Resources and Social Security, Qingdao, China; | 2018.4 | The Participants of UEBMI | Till September 2019, the LTCI has covered 2.7 million people, and there are around 600 million RMB has been paid by LTCI in Qingdao. |
| Development and Reform Commission, Qingdao, China; | ||||
| Bureau of Finance, Qingdao, China | ||||
| Insurance Regulatory Bureau, Qingdao | ||||
| Jingmen | Bureau of Human Resources and Social Security, Jiangmen, China | 2017.1 | The Participants of UEBMI and BMIURR | Till July 2019, there are 2.46 million people covered by LTCI and then 4530 person-time have benefited in all. |
| Guangzhou | Bureau of Human Resources and Social Security, Guangzhou, China; | 2017.8 | The Participants of UEBMI | Till March 2018, there are 2500 benefited by the LTCI. This has significantly relieved the financial burden both of the government and families. |
| Development and Reform Commission, Guangzhou, China; | ||||
| Civil Affairs Bureau, Guangzhou, China. | ||||
| Bureau of Finance, Guangzhou, China | ||||
| Insurance Regulatory Bureau, Guangzhou | ||||
| Chengdu | Bureau of Health Insurance, Qingdao, China; | 2017.7 | The Participants of UEBMI | There is 94.64% of people who aged over 60 benefited by the LTCI. LTCI has signed 53 professional care institutions to provide the care to the participants. |
| Shihezi | Bureau of Human Resources and Social Security, Sihezi, China | 2017.1 | The Participants of UEBMI and BMIURR | Till 2018, there are 28 professional care institutions signed. And the rest cities of Xinjiang start to draw the lesson of LTCI from Shihezi. |