| Literature DB >> 30050924 |
Weng I Choi1, Honghao Shi1, Ying Bian1, Hao Hu1.
Abstract
Facing difficulties like increasing health burden and health inequity, China government started to promote commercial health insurance (CHI) in recent decades. Several policies and announcement have been issued to build up a favorable environment for development of commercial health insurance. Meanwhile, scholar tried to investigate the related issues in purpose to further improve the situation in China. Therefore, we performed this systematic review in order depict a comprehensive picture on the current evidence-based researches of CHI in China. We searched PubMed, ScienceDirect, and CNKI, supplemented with hand search in reference lists, for eligible studies published from 1990 January to 2018 April. Also, hand search was conducted to select suitable articles from international organization and reference list of eligible articles. Two independent reviewers extracted the data from eligible articles and input into a standardized form. Based on the inclusion criteria, 35 articles were included in this systematic review. Most of the studies were quantitative researches with topics such as the development level of commercial health insurance in China, the demand and supply issues related, and the relationship and influence of social health insurance, as well as the moral issues evolved from commercial health insurance system. In summary, CHI in China is still at the early development stage. Among those few evidence-based articles, the findings suggested several policy implication and different market strategy. With the initiation of new health reforms and implementation of taxes policy, more empirical researches should be conducted on issues relating to the practical operation of CHI.Entities:
Mesh:
Year: 2018 PMID: 30050924 PMCID: PMC6046168 DOI: 10.1155/2018/3163746
Source DB: PubMed Journal: Biomed Res Int Impact factor: 3.411
Figure 1The flowchart of the result searching and selection.
Basic characteristic summary of the reviewed papers.
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| 1 | English | Sichuan and Shandong | Quantitative and qualitative | (a) Household survey | 2,630 households (Survey) | Ying XH et al. (2007) |
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| 2 | English | Guangxi, Guizhou, Heilongjiang, Henan, Hubei, Hunan, Jiangsu, Liaoning, and Shandong | Quantitative | 2000, 2004, 2006 China Health and Nutrition Survey (CHNS) | Rural residents | Liu H, Gao S, Rizzo JA (2009) |
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| 3 | Chinese | 31 Provinces | Quantitative | 1998 to 2004 national panel data | 31 Provinces | Shao QQ, Chen J (2009) |
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| 4 | Chinese | Hubei, Beijing and Shanghai | Quantitative | 2002 to 2007 statistic | Hubei, Beijing and Shanghai | Li Q (2009) |
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| 5 | Chinese | 31 Provinces | Quantitative | 1999 to 2007 national panel data | 31 Provinces | Lin QZ (2010) |
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| 6 | Chinese | 31 Provinces | Quantitative | 1998 to 2009 national panel data | 31 Provinces | Liu FF, Wang XH, Bian H (2010) |
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| 7 | Chinese | 31 Provinces | Quantitative | 2002 to 2009 national panel data | 31 Provinces | Wang XN (2011) |
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| 8 | Chinese | 31 Provinces | Quantitative | 2005 to 2009 national panel data | 31 Provinces | Li HL (2011) |
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| 9 | Chinese | 31 Provinces | Quantitative | 1997 to 2009 national data | 31 Provinces | Li BR(2011) |
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| 10 | English | Beijing, Shanghai and Xiamen | Quantitative | Telephone Survey | 5,097 households | Fang K, Shia B, Ma S (2012) |
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| 11 | English | Gansu | Quantitative | Household survey | Year 2003:3946 households (13,619 individuals) | Chen M, Chen W, Zhao Y (2012) |
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| 12 | Chinese | 31 Provinces | Quantitative | 1985 to 2010 national panel data | 31 Provinces | Wu HB (2012) |
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| 13 | Chinese | 31 Provinces | Quantitative | 2000, 2004 and 2006 CHNS data | City sample: 8,402 | Liu H, Wang J (2012) |
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| 14 | Chinese | China | Quantitative | (1) Insurance company | (1) General hospital population | Qiu CJ, Chen T (2012) |
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| 15 | Chinese | Beijing | Quantitative | Survey | 500 persons | Chai XH, Ji CH (2012) |
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| 16 | Chinese | China | Quantitative | 2006 Longitudinal survey data | 1,973 participants aged 60 or above | Qiu Y (2012) |
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| 17 | English | Nanning, Guangxi | Quantitative | Survey | 178 respondents | Ye AZ, Lu F, Huang WH, Liang J (2013) |
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| 18 | Chinese | 31 Provinces | Quantitative | 2005 to 2010 | 31 Provinces | Zheng RM, Hua J (2013) |
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| 19 | Chinese | 31 Provinces | Quantitative | 2004, 2006 and 2009 CHNS data | 31 Provinces | Xu R, Zhang D & Ji X (2013) |
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| 20 | English | Heilongjiang | Quantitative | Household survey | Year 2003: 3,841 householders (11,572 individuals) | Chen M, Zhao Y, Si L (2014) |
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| 21 | Chinese | 31 Provinces | Quantitative | 2003 to 2012 panel data | 31 Provinces | Zhu ML, Gui ZX (2014) |
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| 22 | Chinese | 31 Provinces | Quantitative | 1999 to 2011 panel data | 31 Provinces | Liu JY (2014) |
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| 23 | Chinese | China | Quantitative | 1997 to 2011 panel data | 31 Provinces | Liu R & Liu HX (2014) |
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| 24 | Chinese | 31 Provinces | Quantitative | 2004 to 2013 panel data | 31 Provinces | Suo LY, Wanyan RY, Chen T (2015) |
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| 25 | Chinese | 31 Provinces | Quantitative | 2000, 2004, 2006 and 2009 China Health and Nutrition Survey (CHNS) | 31 Provinces | Jiao N (2015) |
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| 26 | Chinese | China | Quantitative | 2011 panel data | 31 Provinces | Liu HL (2015) |
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| 27 | English | China | Quantitative | Survey | 17,705 respondents | Jin Y, Hou Z, Zhang D (2016) |
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| 28 | Chinese | China | Quantitative | Survey | Rural Sample: 7,403 | Zhou X, Sun J (2016) |
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| 29 | Chinese | Nanning City | Quantitative | Survey | 263 sample | Li HF (2016) |
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| 30 | Chinese | 25 Provinces | Quantitative | 2011 China Household Finance Survey | Total sample: 5,295 | Fu YZ & Su ZF (2016) |
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| 31 | Chinese | China | Quantitative | 2006 to 2015 Premium income database | 31 Provinces | Zhang ML et al. (2018) |
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| 32 | Chinese | China | Quantitative | 2009 to 2015 panel data | 31 Provinces | Ni L & Feng GZ (2018) |
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| 33 | Chinese | Anhui Province | Quantitative | 2002 to 2015 statistics yearbook and insurance statistic report | Anhui Province | Zhao HF (2018) |
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| 34 | Chinese | China | Quantitative | 2004 to 2014 panel data | 31 Provinces | Yan JJ (2018) |
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| 35 | Chinese | China | Quantitative | 1997 to 2015 | 31 Provinces | Zhu JM & Wu ZH (2018) |
Summary of measurement variable and main findings of the reviewed papers.
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| 1 | Willingness-to-buy | (1) CHI premium | (1) The demand for CHI in urban areas had great potential. |
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| 2 | Purchase of CHI | (1) New Cooperative Medical Scheme (NCMS) | (1) Adults were 2.1 % more likely to purchase CHI when NCMS became available. |
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| 3 | Health Protection Level | (1) Provincial GDP | (1) GDP, coverage level of social health insurance, number of hospital bed per 1000 persons, depth of CHI, density of CHI was positively related to the health protection level. |
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| 4 | CHI premium | (1) Disposable income | (1) CHI development level is higher in Beijing and Shanghai than in Hubei. |
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| 5 | Health expenditure per person | CHI premium per person - indicator of level of CHI development | (1) CHI could promote the health protection level. |
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| 6 | Total CHI premium | (1) Income per person | (1) Disposable income and insurance awareness significantly promote the development of CHI |
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| 7 | CHI premium per person | (1) Social health insurance premium | (1) Social health insurance had significantly driven the development of CHI. |
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| 8 | CHI premium – indicate the demand of CHI | (1) Disposable income | (1) Increase in health expenditure, disposable income and insurance awareness significantly boost the development of CHI |
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| 9 | CHI premium | (1) Disposable income per person | (1) Increase in disposable income, family health expenditure, number of social health insurance participants and elderly dependency rate can promote the CHI demand due to raised awareness on health. |
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| 10 | (1) Insurance coverage | (1) Households | Commercial insurance coverage was significantly associated with medical expense. |
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| 11 | Kakwani index – | (1) Concentration index of health care payments | (1) The finances of private health insurance were progressive among the rich and poor. |
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| 12 | CHI compensation rate | (1) Number of doctor per 1000 persons | (1) The effect of inpatient health expenditure on the claim cost is significant but not high. |
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| 13 | Purchase of CHI | (1) Personal health status | (1) In urban, insurance company based on the age for risk selection while in rural, insurance company based on the area |
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| 14 | CHI claim cost | (1) Number of hospital day | All the factors affected the claim cost. |
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| 15 | Purchase of CHI | (1) Gender | (1) With social health insurance, male is more willing to buy CHI than female. |
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| 16 | Purchase of CHI | (1) Demographic characteristic | (1) Male are more likely to purchase CHI than female. |
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| 17 | N/A | N/A | (1) The market potential of CHI were not effectively developed |
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| 18 | Degree of coordination | (1) Depth and density of CHI | (1) The development of CHI in Beijing and Shanghai is better than the other areas. |
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| 19 | Purchase of CHI | (1) NCMS | (1) The relationship between NCMS and CHI at first is substitute and later be complementary. |
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| 20 | Kakwani index – indicate the health financing equity | (1) Concentration index of health care payments | (1) Healthcare financing distribution in China was unequal. |
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| 21 | CHI Premium | (1) Disposable income | (1) The increase in disposable income and availability of medical resource significantly boosted the development of CHI. |
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| 22 | Total CHI premium income | (1) Total GDP | (1) With higher education level and depth of social health insurance, premium of CHI increase. |
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| 23 | CHI premium | (1) Governmental health expenditure | (1) The substitute relationship between social health insurance and CHI is not significant, which means there is still space for CHI development under high coverage of social health insurance in China. |
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| 24 | (1) Health insurance development index | (1) Life expectancy | (1) The development rate of Eastern area was twice of the rate of Middle and Western Area |
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| 25 | Out-of-pocket payment | (1) Social health insurance | (1) CHI increases the out-of-pocket payment proportion due to moral risk behavior. |
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| 26 | CHI premium | (1) National GDP | (1) For eastern regions, CHI demand elasticity is low regarding to population and national GDP per person. |
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| 27 | (1) Public insurance only | (1) Policy | (1) Rural residents were more likely to participate in public health insurance than urban residents |
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| 28 | Purchase of CHI | (1) Number of relative visit during CNY | (1) Social network has a significant positive effect for rural people purchasing CHI. |
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| 29 | Consumer satisfaction | (1) Gender | (1) Gender and education level is significantly related to consumer satisfaction. |
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| 30 | Purchase of CHI | Family Burden | (1) The family with less family burden (higher income, more property and lower family dependency) was more willing to purchase CHI. |
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| 31 | N/A | N/A | (1) CHI premium increased rapidly but the depth and premium per person were still low compared to other countries. |
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| 32 | CHI Income Premium | (1) Disposable income per person | (1) Disposable income, UEBMI premium, elderly dependency ratio and outpatient services expenditure were the determinant of CHI demand. |
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| 33 | CHI premium | (1) Daily expenditure level | (1) Daily expenditure level and elderly population can promote CHI demand |
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| 34 | CHI density: | (1) Social health insurance density: Total premium from NCMS, UEBMI and URBMI/ population | (1) Social health insurance can drive the development of CHI with saving purpose but no effect on health protection-oriented CHI. |
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| 35 | CHI Premium | (1) Total health expenditure | (1) Total health expenditure, proportion of elderly population, balance of residents' RMB saving at the end of year could have a positive effect on CHI demand |