| Literature DB >> 22992484 |
Shenglan Tang1, Jingjing Tao, Henk Bekedam.
Abstract
An increasingly number of low- and middle-income countries have developed and implemented a national policy towards universal coverage of healthcare for their citizens over the past decade. Among them is China which has expanded its population coverage by health insurance from around 29.7% in 2003 to over 90% at the end of 2010. While both central and local governments in China have significantly increased financial inputs into the two newly established health insurance schemes: new cooperative medical scheme (NCMS) for the rural population, and urban resident basic health insurance (URBMI), the cost of healthcare in China has also been rising rapidly at the annual rate of 17.0%% over the period of the past two decades years. The total health expenditure increased from 74.7 billion Chinese yuan in 1990 to 1998 billion Chinese yuan in 2010, while average health expenditure per capital reached the level of 1490.1 Chinese yuan per person in 2010, rising from 65.4 Chinese yuan per person in 1990. The repaid increased population coverage by government supported health insurance schemes has stimulated a rising use of healthcare, and thus given rise to more pressure on cost control in China.There are many effective measures of supply-side and demand-side cost control in healthcare available. Over the past three decades China had introduced many measures to control demand for health care, via a series of co-payment mechanisms. The paper introduces and discusses new initiatives and measures employed to control cost escalation of healthcare in China, including alternative provider payment methods, reforming drug procurement systems, and strengthening the application of standard clinical paths in treating patients at hospitals, and analyses the impacts of these initiatives and measures. The paper finally proposes ways forward to make universal health coverage in China more sustainable.Entities:
Mesh:
Year: 2012 PMID: 22992484 PMCID: PMC3381703 DOI: 10.1186/1471-2458-12-S1-S8
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Figure 1Changing tendency of population covered by the health insurance from the year of 2004 to 2010.
Figure 2Cost escalation of healthcare since China enters the 21st century in terms of total health expenditure and growth rate.
Who have paid for healthcare in China
| Year | Government health expenditure | Social health expenditure | Out-of-pocket health expenditure | |||
|---|---|---|---|---|---|---|
| Level | As percentage of health expenditure | Level | As percentage of health expenditure | Level | As percentage of health expenditure | |
| 2000 | 710 | 15 | 1,172 | 26 | 2,705 | 59 |
| 2001 | 801 | 16 | 1,211 | 24 | 3,014 | 60 |
| 2002 | 909 | 16 | 1,539 | 27 | 3,342 | 58 |
| 2003 | 1,117 | 17 | 1,789 | 27 | 3,679 | 56 |
| 2004 | 1,294 | 17 | 2,225 | 29 | 4,071 | 54 |
| 2005 | 1,553 | 18 | 2,586 | 30 | 4,521 | 52 |
| 2006 | 1,779 | 18 | 3,211 | 33 | 4,854 | 49 |
| 2007 | 2,582 | 22 | 3,894 | 34 | 5,099 | 40 |
| 2008 | 3,594 | 25 | 5,066 | 35 | 5,876 | 40 |
| 2009 | 4,686 | 27 | 5,948 | 35 | 6,571 | 38 |
Source of data: The Chinese Ministry of Health: China Health Statistics Yearbook of 2010. Beijing: 2010
Number of outpatient visits and inpatient admissions by level of health institution in China (2002-2010)
| Year | Total population (100,000,000) | Total | Hospitals | Community health centres | Township health centres | ||||
|---|---|---|---|---|---|---|---|---|---|
| Total OP | Total IP admissions | OP | IP | OP | IP | OP | IP | ||
| 2002 | 12.85 | 21.45 | 5,991 | 12.43 | 3,997 | 11 | 7.1 | 1,625 | |
| 2003 | 12.92 | 20.96 | 6,092 | 12.13 | 4,159 | 0.38 | 10 | 6.91 | 1,608 |
| 2004 | 13.00 | 22.03 | 6,669 | 13.05 | 4,668 | 0.46 | 15 | 7.03 | 1,621 |
| 2005 | 13.08 | 23.05 | 7,184 | 13.87 | 5,108 | 0.59 | 27 | 6.79 | 1,622 |
| 2006 | 13.14 | 24.47 | 7,906 | 14.71 | 5,562 | 0.83 | 44 | 7.25 | 1,858 |
| 2007 | 13.21 | 33.32 | 9,827 | 16.38 | 6,487 | 2.26 | 107 | 7.59 | 2,662 |
| 2008 | 13.28 | 35.3 | 11,483 | 17.81 | 7,392 | 2.57 | 141 | 8.62 | 3,355 |
| 2009 | 13.35 | 54.88 | 13,256 | 19.22 | 8,488 | 3.77 | 225 | 8.77 | 3,808 |
| 2010 | 13.40 | 58.4 | 14,174 | 20.4 | 9,524 | ||||
Source of Data: The Chinese Ministry of Health: China Health Statistics Yearbook of 2010. Beijing: 2010
Provider payment methods and their impacts on cost control of health care in selected cities of China
| Shanghai | Shenzhen | Mudanjiang | ||
|---|---|---|---|---|
| Provider payment | • Global budget as main method; | • Fixed unit rate for inpatient services; | • Case-based payment as main method; | |
| OP services/ CHCs | Global budget | FFS for outpatient services | Fixed unit rate for OP visits. | |
| IP admission | Global budget, while case-based payment used for selected diseases | A fixed unit rate payment for hospital admissions | Case-based payment for IP admission, with capped annual ceiling. | |
| Special cases/services | Flat daily rate payment for inpatients with mental health problems | Case-based payment for normal baby deliveries | FFS for specific services as defined. | |
| Other cost control measures | Rational use of drugs and high tech | Drug expenditure as % of total health revenue of designated hospitals by health insurance scheme should reduce year by year; | A monitoring and evaluation of prescribed drugs introduced in all the public hospitals. | Each prescription provides patients with drugs for only up to 3 days [ |
| Service delivery management | Strengthening management of service referring system. | Defining the ratio of outpatient visits to IP admission to control induced hospital admissions [ | Level of case-based payment or unit rate differs between different levels of hospitals [ | |
| Impacts | Cost escalation of health care | The annual increase rate of health care expenditure for main health insurance schemes has been around 11.7% a level similar to the annual GDP growth rate in Shanghai [ | Average health expenditure per the insured has been maintained at a stable level (e.g., RBM 646.2 yuan in 2003, RBM 587.3 yuan in 2004) | The increases in OP and IP expenses were slower than the increase of average GDP per capita. The 2007 statistical data show that the average expenditure per hospital admission in the city was 28% lower than the national average [ |
| Health insurance funds | A balanced situation maintained in terms of incomes and expenditures. | The health insurance fund maintains a modest surplus annually | The health insurance fund has a modest surplus. | |
Impacts of SERS on health care in selected pilot areas of China
| Impacts | Beijing | Chengdu | Hangzhou |
|---|---|---|---|
| Revenues/ expenditures of CHCs | Proportion of drug expenditure and service charges declined as % of the total health expenditure of CHC; | District/county governments increased funding to CHCs; | District/county governments increased financial inputs under SRES; |
| Quantity of services provided | The quantity of outpatient visits and public health services provided in CHCs increased significantly; | The quantity of outpatient visits increased significantly; | The use of CHCs increased; |
| Quality of care | Patients' satisfaction with outpatient services increased, as more patients chose CHC as the first contact with professional care; | Patients' satisfaction with the services increased, resulting in high use rate; | Overall satisfaction with the CHC services increased significantly; |
| Perceptions of community health workers (CHWs) | SERS can ensure the income of CHWs, and reduce unnecessary treatments that used to produce profits for CHCs, making healthcare at community level more affordable; | Most CHWs were satisfied with the reform, while others were less keen to provide public health services, as defined in the SERS. | Increased workload, particularly related to NCD control, at CHCs may not be sustainable; |
Impacts of SERS on health care in selected pilot areas of China
| Impacts | Beijing | Chengdu | Hangzhou |
|---|---|---|---|
| Revenues/ expenditures of CHCs | Proportion of drug expenditure and service charges declined as % of the total health expenditure of CHC; | District/county governments increased funding to CHCs | District/county governments increased financial inputs under SRES; |
| Quantity of services provided | The quantity of outpatient visits and public health services provided in CHCs increased significantly; | The quantity of outpatient visits increased significantly | The use of CHCs increased; |
| Quality of care | Patients' satisfaction with outpatient services increased, as more patients chose CHC as the first contact with professional care; | Patients' satisfaction with the services increased, resulting in high use rate. | Overall satisfaction with the CHC services increased significantly; |
| Perceptions of community health workers (CHWs) | SERS can ensure the income of CHWs, and reduce unnecessary treatments that used to produce profits for CHCs, making healthcare at community level more affordable; | Most CHWs were satisfied with the reform, while others were less keen to provide public health services, as defined in the SERS. | Increased workload, particularly related to NCD control, at CHCs may not be sustainable; |
The minimum DDD cost of anti-hypertension medicines in Guangzhou, Tianjin and Shanghai
| No. | Generic name | Average minimum DDD cost | ||
|---|---|---|---|---|
| Liwan district, Guangzhou | Hebei district, Tianjin | Luwan district, Shanghai | ||
| 1 | Losartan | 7.65 | 7.19 | 7.13 |
| 2 | Captopril | 0.04 | 3.33 | 0.39 |
| 3 | Nitrendipine | 0.09 | 0.05 | 0.13 |
| 4 | Enalapril | 1.38 | 1.99 | 1.61 |
| 5 | Indapamide | 0.72 | 0.94 | 0.51 |
| 6 | Amlodipine | 3.27 | 5.91 | 4.75 |
| 7 | Levamlodipine | 8.62 | 7.09 | 5.89 |
| 8 | Benazepril | 3.41 | 2.92 | 3.87 |
| 9 | Perindopril | 3.87 | 4.03 | 4.05 |
| 10 | Fosinopril | 5.58 | 5.55 | 3.78 |
| 11 | Valsartan | 4.48 | 5.47 | 5.24 |
| 12 | Irbesartan | 3.53 | 3.66 | 5.74 |
| 13 | Felodipine | 3.14 | 6.69 | 5.00 |
| Average | 3.80 | 5.12 | 4.64 | |
Source of Data: Ministry of Health, China: Report on pharmaceutical purchasing and utilization in primary health institution in China. Beijing; 2009.