Literature DB >> 26812914

Disparity in reimbursement for tuberculosis care among different health insurance schemes: evidence from three counties in central China.

Yao Pan1,2, Shanquan Chen3, Manli Chen4, Pei Zhang5, Qian Long6,7, Li Xiang8, Henry Lucas9.   

Abstract

BACKGROUND: Health inequity is an important issue all around the world. The Chinese basic medical security system comprises three major insurance schemes, namely the Urban Employee Basic Medical Insurance (UEBMI), the Urban Resident Basic Medical Insurance (URBMI), and the New Cooperative Medical Scheme (NCMS). Little research has been conducted to look into the disparity in payments among the health insurance schemes in China. In this study, we aimed to evaluate the disparity in reimbursements for tuberculosis (TB) care among the abovementioned health insurance schemes.
METHODS: This study uses a World Health Organization (WHO) framework to analyze the disparities and equity relating to the three dimensions of health insurance: population coverage, the range of services covered, and the extent to which costs are covered. Each of the health insurance scheme's policies were categorized and analyzed. An analysis of the claims database of all hospitalizations reimbursed from 2010 to 2012 in three counties of Yichang city (YC), which included 1506 discharges, was conducted to identify the differences in reimbursement rates and out-of-pocket (OOP) expenses among the health insurance schemes.
RESULTS: Tuberculosis patients had various inpatient expenses depending on which scheme they were covered by (TB patients covered by the NCMS have less inpatient expenses than those who were covered by the URBMI, who have less inpatient expenses than those covered by the UEBMI). We found a significant horizontal inequity of healthcare utilization among the lower socioeconomic groups. In terms of financial inequity, TB patients who earned less paid more. The NCMS provides modest financial protection, based on income. Overall, TB patients from lower socioeconomic groups were the most vulnerable.
CONCLUSION: There are large disparities in reimbursement for TB care among the three health insurance schemes and this, in turn, hampers TB control. Reducing the gap in health outcomes between the three health insurance schemes in China should be a focus of TB care and control. Achieving equity through integrated policies that avoid discrimination is likely to be effective.

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Year:  2016        PMID: 26812914      PMCID: PMC4729161          DOI: 10.1186/s40249-016-0102-4

Source DB:  PubMed          Journal:  Infect Dis Poverty        ISSN: 2049-9957            Impact factor:   4.520


Multilingual abstract

Please see Additional file 1 for translation of the abstract into the six official working languages of the United Nations.

Background

China’s health care system is bifurcated in nature between rural and urban areas [1, 2]. There are three major government-led complementary insurance schemes collectively known as the Chinese basic medical security system. The schemes are the Urban Employee Basic Medical Insurance (UEBMI), the Urban Resident Basic Medical Insurance (URBMI), and the New Cooperative Medical Scheme (NCMS) [3, 4]. The UEBMI-established in 1998 and designed exclusively for urban workers, including both public and private sector employees, and retirees-is a mandatory scheme based on cost sharing between employers and employees, with risk pooling managed at the city level [5]. The URBMI, which was introduced in 2007, is for urban residents without formal employment who are not covered by the UEBMI (e.g., students, young children, the elderly, disabled and other unemployed urban residents), and is co-financed by those who use it and the local government. It is managed at multiple levels. The NCMS is a voluntary program designed to deal with catastrophic illnesses at the county level. It is based on cost sharing between the government and farmers, and aims to improve access to health insurance for the rural population [6, 7]. Counties determine benefit packages and administrative arrangements according to their local conditions. The NCMS was piloted in 2003 and has been expanded to 2566 participating counties, covering 98.3 % of the target population, in 2012. The source and level of financing for the three health insurance schemes are different, thus resulting in different reimbursement levels and anti-risk capacity. For the UEBMI, the annual premium is made up of 8 % of employees’ wages, among which 6 % is contributed by employers’ payroll tax, and 2 % is contributed by the employees themselves. For the URBMI, the annual premium in 2008 was on average 245 RMB for adults and 113 RMB for minors. In 2012, the annual NCMS premium was 300 RMB (made up of 240 RMB from central and local governments, and 60 RMB from individuals). Each scheme provides different levels of reimbursement [8]. Better access to healthcare and risk protection have been achieved through the expansion of insurance coverage (reaching 95.7 % in 2011 [9]), and increase in subsidies and benefits over time. Prior studies that have evaluated disparities in health insurance generally focused on one scheme [10-13], and little is known about the disparities among the different health insurance schemes. Several studies have reported that families covered by the UEBMI or the URBMI had lower rates of catastrophic health expenditure than those enrolled in the NCMS, however, these studies were neither systematic nor specific [14]. The levels of reimbursement and associated out-of-pocket (OOP) expenses related to a given disease among the different health insurance schemes have not been studied. The primary objective of this study is to fill this evidence gap by examining disparities in reimbursement for tuberculosis (TB) care among the health insurance schemes in China. Because TB is an infectious disease, it is ideal for this study. China has the second largest TB burden in the world [15] and the disease has long been on the governmental agenda [16]. Considerable progress has been made towards addressing the TB epidemic, however, TB treatment costs remain a heavy financial burden on patients [17, 18]. In China, treatment for TB is free in theory, but studies show that there are many associated healthcare costs, such as liver-protection drugs and extra diagnostic tests, as well as considerable indirect costs [19-21]. As a key policy area for TB care and prevention [22, 23], health insurance is an indispensable means of financial protection [24]. Integrating the national TB control program into health insurance schemes is an effective strategy to address challenges in current China [25]. In China, TB patients can receive anti-TB treatment in designated hospitals through the coverage of the three health insurance schemes. Expenses associated with TB treatment may be partially covered by these schemes, however, patients are responsible for any required deductibles and co-payments. An evaluation of the disparity in reimbursements for TB care among the health insurance schemes would inform how to best design the reimbursement structure to ensure both equity and efficiency in TB control. This study extended previous studies by analyzing reimbursement related to TB care among the abovementioned health insurance schemes. A claims database analysis of all hospitalization reimbursed by the schemes in Yichang city (YC), central China, covering 1506 discharges, was conducted to identify differences in the total inpatient expenses, OOP expenses and the effective reimbursement rate.

Methods

Study setting

According to a study published in The Lancet, the lowest average inpatient reimbursement rates were reported in China’s central region (41.2 %). Households in the central region are vulnerable, with high rates of catastrophic health spending. The percentage of households experiencing catastrophic health expenses was 13.7 % (13.3 % in the west region and 11.9 % in the east region). In 2011, households in the central region spent an average of 13.2 % of their annual expenditure on health (13.1 % in the west region and 12.4 % in the east region) [9]. For this reason, this study focuses on the central region. Located in central China and the middle reaches of Yangtze River, the Hubei province had a gross domestic product (GDP) per capita totaling RMB 34,131 in 2011, which ranks it 13th among the 32 provinces (municipalities and autonomous regions) in China’s mainland. Yichang city, located in southwestern Hubei, had a GDP per capita of RMB 56,265 in 2011. The China National Health and Family Planning Commission (NHFPC)-Bill & Melinda Gates Foundation TB Project has been widely conducted in YC. The local governments were able and willing to collaborate in this study. Given what mentioned above, our study was designed to examine the disparity of tuberculosis care reimbursement among different health insurance schemes in YC, Hubei province. A stratified random sampling procedure was used. Three counties in YC were purposively selected to represent the entire city, in terms of socioeconomic development and geographic conditions (hilly/plain): Yidu (YD), Zhijiang (ZJ) and Wufeng (WF) were chosen as the study counties. Yidu is the most developed county, whereas WF is the most underdeveloped one, as shown in Table 1.
Table 1

Economic status in three counties in YC 2012

YDZJWF
GDP per capita (yuan)890015863023325
Urban annual income per capita (yuan)194311746512064
Rural annual income per capita (yuan)10415104964391

Data source: The economic indicators were obtained from statistical yearbook in YC

Economic status in three counties in YC 2012 Data source: The economic indicators were obtained from statistical yearbook in YC

Data sources

Quantitative data were obtained primarily from the routine data systems of the UEBMI, the URBMI and the NCMS, from their corresponding offices in each county. To estimate the direct medical costs of and financial burden on general TB patients in all study counties, information managers extracted reimbursement data of inpatients diagnosed with TB from January 2010 to December 2012. Key variables included sex, age group and choice of health providers, and hospitalization cost, reimbursement expenses, non-reimbursable expenses relating to TB associated service provision. 1506 discharges were conducted, including 1001 discharges of the NCMS, 348 of the UEBMI and 157 of the URBMI. All study counties were required to collect policy documents related to payment and reimbursements of TB treatment costs.

Conceptual framework

Equity is widely considered a major objective of healthcare policies in international settings [26]. Generally, it can be divided into three parts: health equity, financial equity and utilization equity. Equity in health means providing all population groups an equal opportunity to be healthy [27, 28]. Financial equity plays a significant role in promoting healthcare access and achieving universal coverage of health services, especially for the poor and vulnerable groups [29]. It requires that healthcare payments are determined fairly and based on a household’s ability to pay (ATP). The equity of utilization on the other hand is judged using the concentration index, as an individual’s need for health care isn’t reliant on income [30]. Financial equity and utilization equity can be defined in two dimensions: horizontal equity and vertical equity. Horizontal equity means that equal access to health care should be provided to people with the same illness (equal treatment for equal needs) [31]. Vertical equity means that people with the greatest needs are given the most care [26]. The pursuit of equity is a primary objective of healthcare systems, and health insurance is frequently cited as a key determinant of ensuring equity as it lowers financial barriers and increases demand for health care. The World Health Report 2010 represented the concept of universal health coverage (UHC) in three dimensions: breadth, depth and height. Breadth refers to population coverage, depth refers to the range of services covered, and height refers to the extent to which costs associated with health care are covered [14, 32]. This study will use this framework to look into the disparities in reimbursement for TB care among the three health insurance schemes in China.

Data analysis

The NCMS operates at the county level. The UEBMI and the URBMI are managed at multiple levels. Thus, we made a comparison at the county level. The quantitative data analysis was performed using SPSS Statistics version 17.0. The main analysis used descriptive statistics and focused on the associations between health insurance, and the expenditure and reimbursement rates associated with TB-related services. To measure the level of reimbursement related to TB care, a number of things were considered, including OOP expenses, the effective reimbursement rate (amount of reimbursement/total expenditure on medical care), and the non-reimbursable expenses rate (non-reimbursable expenses/total expenditure on medical care). An analysis of the financial burden placed on patients was also conducted by dividing the OOP expenses by the annual average income per capita. Equity of access to TB care among the three health insurance schemes was assessed, disaggregated by project sites. Appropriate statistical methods, including variance analysis, were employed for the data analysis. Health insurance policies were categorized and analyzed by region. The deductible, the reimbursement rate and the ceiling level of multi-level hospitals were also determined.

Quality assurance

Measures were taken to ensure the quality of the data compiled. All the data collection instruments, tools and procedures developed for the study were tested in a pilot exercise in one project county. Following this exercise, a workshop was held to discuss any problems and to identify what needed to be amended. A logic check of all collected data was also done to identify gaps, inaccuracies and apparent incongruities and inconsistencies.

Missing data

Comprehensive data from the three health insurance schemes for three years were included in the analysis, with one exception from ZJ, where only data from NCMS for the year 2012 were included in the analysis.

Ethical approval

Ethical approval was obtained from the Institutional Ethics Committee, Chinese Center for Disease Control and Prevention, China.

Results

Disparities in reimbursement for TB care among the three health insurance schemes

Population: who is covered?

The three health insurance schemes have coverage of over 95 % of the total population in all three counties, as shown in Table 2. All three schemes offer inpatient and outpatient reimbursement for TB care in different forms.
Table 2

Health insurance coverage in three counties in YC 2012

YDZJWF
NCMS coverage rate (%)1009998
UEBMI coverage rate (%)9898100
URBMI coverage rate (%)989996

Data source: Data were collected from the records of NCMS, UEBMI and UEBMI offices

Health insurance coverage in three counties in YC 2012 Data source: Data were collected from the records of NCMS, UEBMI and UEBMI offices The NCMS emphasizes coverage of TB inpatient services [33] and hospitalization expenditures can be reimbursed with some co-payment. There are three modes of outpatient reimbursement as part of the NCMS [34, 35]: (1) household savings accounts, which can be used by beneficiaries directly to pay for outpatient expenditures; (2) outpatient reimbursement, which reimburses outpatient fees up to a certain amount at county and/or township level; and (3) outpatient reimbursement for selected catastrophic or chronic illnesses, which compensates for large outpatient expenditures by establishing a catastrophic or chronic illness pooling fund. This includes diseases that are expensive to treat, but don’t necessarily require admission to hospital (e.g. nephropathy, hepatitis, diabetes, hypertension). All three counties adopt this three-level structure. Reimbursements for TB outpatient care are available at township, village or community health facilities. Tuberculosis patients who have to seek treatment in the county-level TB designated hospitals cannot claim reimbursement for general outpatient care. Because of this, the NCMS provides a package covering chronic diseases, including TB, which means that TB patients can claim reimbursement for outpatient care accordingly (see Table 3).
Table 3

Reimbursement policies of three health insurance schemes for TB outpatient services

Health insurance schemeInpatient reimbursementOutpatient reimbursement
General outpatientChronic diseases outpatient
NCMS×
UEBMI×
URBMI×

Note: “√” indicates TB patients can enjoy the compensation policy and vice versa

Reimbursement policies of three health insurance schemes for TB outpatient services Note: “√” indicates TB patients can enjoy the compensation policy and vice versa The UEBMI consists of a pooled fund for inpatient stays and individual medical savings accounts for outpatient visits [36]. In terms of TB care, the UEBMI offers inpatient and outpatient reimbursement for chronic diseases (a similar structure to the NCMS). The URBMI seeks to eliminate impoverishment caused by high medical expenses by focusing on inpatient and outpatient services for chronic and fatal diseases, such as diabetes and heart disease [37]. Tuberculosis patients are not covered by a package covering services for chronic diseases, however, they can still claim for inpatient and general outpatient reimbursement.

Services: which services are covered?

The NCMS offers a narrower benefit package than the other two schemes. Eleven anti-TB drugs are included in the NCMS, namely streptomycin, isoniazid, rifampicin, ethambutol, aminosalicylate sodium, pyrazinamide, rifapentine and rifamycin, among others, whereas 20 drugs are covered by the UEBMI and the URBMI. Drugs are estimated to account for just under half of a TB patient’s OOP expenses [38]. A more inclusive drug reimbursement list could help reduce TB patientsOOP expenses by decreasing non-reimbursable expenses. According to our data results related to TB inpatients, non-reimbursable expenses rates for those covered by the NCMS from 2010 to 2012 in YD, ZJ and WF were 7.8, 13.34 and 5.8 %, respectively.

Costs: proportion of the costs covered

The ability of health insurance schemes to reduce the financial burden of patients depends on the amount of funds that can be raised and pooled. Compared to the UEBMI, the URBMI and the NCMS have low financing. In YC city, for the NCMS, the annual premium per person was RMB 290 in 2012; for the URBMI, it was RMB 200; and for the UEBMI, it was usually over RMB 1000. Thus, the NCMS and URBMI have very basic benefit packages, which means they don’t provide their beneficiaries with adequate funds to alleviate the economic hardships caused by serious diseases. Table 4 shows the reimbursement rates for TB outpatient care among the different health insurance schemes, by area.
Table 4

Reimbursement of three health insurance schemes for TB outpatient care in 2012

Health insurance schemeCity/CountyOutpatient reimbursement
NCMSYD200 yuan/year
ZJ45 yuan/month with an annual reimbursement cap of 540 yuan
WF70 % of annual total costwith an annual reimbursement cap of 2000 yuan
UEBMIYCreimbursement rate averages 75 % within 200 yuan/month (6 months for first treatment, 8 months for retreatment)
URBMIYC40 % of accumulated cost ranging from 50 to 400 yuan
Reimbursement of three health insurance schemes for TB outpatient care in 2012 Tuberculosis patients who are covered by the UEBMI enjoy a more generous inpatient reimbursement policy, as shown in Table 5. In this scheme, overall reimbursement rates increase with medical expenses rather than being determined by the level of the medical institution/hospital where the patient sought treatment. The ceiling is four times that of the average wage in the locality.
Table 5

Deductible (in Yuan) and reimbursement rates (percentages) by hospital type and health insurance type in YC

CountyHealth insurance schemeDeductible (Yuan)Reimbursement rate (%)
THCCHCHHLTHCCHCHHL
YDNCMS100500500856550–65
UEBMI85–9585–9585–95
URBMI100300500806050
ZJNCMS100300300–500857550–65
UEBMI85–9585–9585–95
URBMI100300500806050
WFNCMS50200500807055–65
UEBMI85–9585–9585–95
URBMI100300500806050

Note: Reimbursement rate of UEBMI varies with medical cost section instead of hospital level

THC refers to “township health centers”

CH refers to “county hospitals”

“CHHL” refers to “city hospitals or higher level”

Data resource: Author’s data are collected from the records of NCMS, UEBMI and UEBMI offices

Deductible (in Yuan) and reimbursement rates (percentages) by hospital type and health insurance type in YC Note: Reimbursement rate of UEBMI varies with medical cost section instead of hospital level THC refers to “township health centers” CH refers to “county hospitals” “CHHL” refers to “city hospitals or higher level” Data resource: Author’s data are collected from the records of NCMS, UEBMI and UEBMI offices The NCMS reimbursement rates are higher than those of the URBMI, but lower than those of the UEBMI. Reimbursement for TB inpatient services is the same as for other inpatient services covered by the NCMS. The higher the level of the medical institution in which a patient receives treatment, the more he/she needs to pay out of pocket. The ceiling level for reimbursement ranged from RMB 100,000 to RMB 150,000.

The impact of disparities in reimbursement for TB care among the different health insurance schemes

Tuberculosis patients have inadequate outpatient service coverage because of limited funding, as shown in Table 4. Databases from the health insurance schemes cannot fully reflect the reimbursement rates of TB patients in the outpatient setting. Problems in the design of the information systems result in a lack of essential information about outpatient services. Therefore, we focused on examining disparities in reimbursement for TB care in the inpatient setting. Given the different economic development levels of the counties and reimbursement levels of the schemes, we analyzed the total inpatient expenses and OOP expenses of patients enrolled in the three health insurance schemes (see Table 6). Generally, total inpatient expenses for those covered by the UEBMI were the highest. Inpatients covered by the URBMI had the highest OOP expenses. The total inpatient expenses among the three health insurance schemes can be illustrated as such: NCMS < URBMI < UEBMI, with one exception in ZJ, where the total inpatient expenses of patients covered by the NCMS were a little higher than of those patients covered by the URBMI. The OOP expenses among the three health insurance schemes can be illustrated as such: UEBMI < NCMS < URBMI, with an exception in ZJ, where it was URBMI < NCMS. Finally, the effective reimbursement rate among the three health insurance schemes can be illustrated as such: UEBMI > URBMI > NCMS (see Fig. 1).
Table 6

Total inpatient expense and OOP of TB inpatients in three counties in YC 2012

Total inpatient expenses (Yuan)OOP (Yuan)
MeanMedianMeanMedian
YDNCMS4522310623971513
UEBMI7371419718951097
URBMI5525296427221489
ZJNCMS6372473430481972
UEBMI7583437616341027
URBMI6333419027251729
WFNCMS4818314820781195
URBMI11491644334952121

Note: WF is a typical agricultural county with a smaller urban population, and there were no TB patients with UEBMI

Fig. 1

Effective reimbursement rates for TB inpatients in the three study counties in 2012 (%)

Total inpatient expense and OOP of TB inpatients in three counties in YC 2012 Note: WF is a typical agricultural county with a smaller urban population, and there were no TB patients with UEBMI Effective reimbursement rates for TB inpatients in the three study counties in 2012 (%) Numbers calculated by dividing the OOP expenses by the annual average income per capita in YC, by health insurance type We further analyzed patients’ choice of health providers by health insurance scheme (see Table 7). Tuberculosis patients covered by the UEBMI could get almost equivalent reimbursement rates in all medical institutions. The OOP expenses of patients covered by the URBMI and NCMS generally increased at higher levels of the referral system, whereas reimbursement rates decreased according to the policy design. We can conclude that the design of the reimbursement policy had a significant impact on patients’ medical-seeking behavior.
Table 7

Number of discharges, mean OOP and effective reimbursement rate per hospitalization by health insurance scheme type in YC City

Number (%)Mean OOP per hospitalization (Yuan)Effective reimbursement rate (%)
TownshipCountyPrefecture/ProvinceTownshipCountyPrefecture/ProvinceTownshipCountyPrefecture/Province
NCMS161 (16.1)515 (51.5)325 (32.5)3551708465575.157.745.2
UEBMI9 (2.6)237 (68.1)102 (29.3)5541192317776.375.577.3
URBMI5 (3.3)112 (73.2)36 (23.5)3501802592170.657.049.6

Note: The differences in mean OOP and effective reimbursement rate per hospitalization by health insurance scheme type were all significant at P < 0.05 according to analysis of variance

Number of discharges, mean OOP and effective reimbursement rate per hospitalization by health insurance scheme type in YC City Note: The differences in mean OOP and effective reimbursement rate per hospitalization by health insurance scheme type were all significant at P < 0.05 according to analysis of variance To further estimate the financial burden placed on TB patients covered by the different health insurance schemes, we divided the OOP expenses by the annual average income per capita. Shows that NCMS provided modest financial protection, based on income. Generally, the number calculated by dividing “OOP expenses by the annual average income per capita” was higher in poorer counties Fig. 2.
Fig. 2

Numbers calculated by dividing the OOP expenses by the annual average income per capita in YC, by health insurance type

Discussion

To the best of our knowledge, limited research has been conducted on the disparities in health insurance schemes. Health disparities are a serious public health issue in the USA [39], where insurance systems are decentralized. Several studies have focused on insurance-related disparities to determine whether there are differences in treatment based on the insurance patients are covered by. By examining a single medical condition, several studies have found that insurance status was associated with different mortality outcomes and use of resources [40-43]. Hasan et al. reported that patients covered by Medicare or private insurance tend to receive higher-quality care than those covered by Medicaid [44]. In a comparison of quality of care delivered to patients in the same hospital, Spencer et al. found that there are differences in quality of health care provided to patients across different payer types even within the same hospital [45]. Rashford et al. also found that a single-payer system would cost less to manage than a multi-payer system [46]. Using data from the Fourth National Health Service Survey, one study published in Chinese found that the populations covered by the UEBMI had a higher benefit level and lower economic burden than those covered by the URBMI or NCMS [47]. The present study is the first in China to compare the disparities in reimbursements for a given disease among different health insurance schemes. Therefore, this study can control the biases associated with various types of illness and obtain more accurate results. Three key findings emerge from this analysis, which we discuss below. Although TB patients covered by the three health insurance schemes suffer from the same illness, our study showed that they have different inpatient expenses (TB patients covered by the NCMS have less inpatient expenses than those who were covered by the URBMI, who have less inpatient expenses than those covered by the UEBMI). This indicates a significant horizontal inequity of healthcare utilization in the lower socioeconomic groups. Those covered by the UEBMI had almost equivalent reimbursement rates in all medical institutions, thus they could seek medical care at higher level medical institutions, which helps to ensure a relatively high quality of medical care. Reimbursement levels for patients covered by the URBMI and NCMS varied by hospital type. In particular, TB patients covered by the NCMS were disadvantaged in accessing TB inpatient care, which is consistent with previous reports showing how different types of health insurance programs affect healthcare utilization outcomes among the elderly in China [48]. There could be two reasons for this. First, TB patients covered by the NCMS are usually from the lower socioeconomic bracket. Second, TB patients covered by the NCMS were located in rural areas and their access to health care was usually hindered by poor transportation services. Low incomes and inadequate reimbursement rates also led to curtailed access. Tuberculosis patients may not seek medical treatment because of financial issues or incur catastrophic health expenses if they continue treatment, both of which would hamper TB control [49]. Our study also revealed financial inequity among TB patients. The prepayment structure of health insurance schemes is supposed to shift funds from the rich to the poor. But according to our results, TB patients who earned less actually paid more. Generally, TB patients are more likely to receive outpatient treatment rather than seek inpatient services. The NCMS and URBMI mainly cover reimbursement for hospitalization, and their reimbursement structures for TB outpatient services are not adequate, characterized by low ceilings and high co-insurance rates. The UEBMI offered a more generous outpatient reimbursement policy with a higher reimbursement rate and an annual reimbursement cap. But it is still not sufficient. Existing literature shows that low-income patients who incur high costs for TB treatment have a poor adherence for treatment, which leads to interrupted or suspended treatment [50]. Given the inadequate outpatient reimbursement rates and the length of outpatient treatment, a portion of poor TB patients may fail to complete their treatment. Meanwhile, TB patients who have higher incomes may seek inpatient treatment that is reimbursed at a higher rate, which results in a large number of hospitalizations and places a severe economic burden on patients. The UEBMI provides comprehensive services for insured TB inpatients, with higher reimbursement ratios. Hence, TB patients covered by the UEBMI had the highest effective reimbursement rate (exceeding 75 %) and the lowest mean OOP expenses (less than RMB 2000). The URBMI and the NCMS provide neither adequate financial protection nor service coverage for TB patients. Taking income into account, TB patients covered by the NCMS were particularly vulnerable; their expense rates indicated a high risk for catastrophic health spending. A large proportion of the inpatient expenses had to be covered by the individual or his/her family, which impairs affordable and equitable access to health care and consequently hampers TB control. Furthermore, TB patients covered by the NCMS usually have low ATP. The number calculated by dividing OOP expenses by the annual average income per capita was significantly higher among NCMS beneficiaries than among the UEBMI beneficiaries who have higher ATP and it was not progressive to ATP, suggesting that the worse off TB patients were required to pay more out of pocket. There are two alternative explanations for the financial inequity among the different health insurance schemes. First, the relatively low financing level results in a comparatively low level of compensation for medical expenses [33, 51]. Second, the three health insurance schemes cover specific groups: rural residents (under the NCMS), urban employees (under the UEBMI), and unemployed urban residents (under the URBMI). Generally, TB inpatients who are covered by the URBMI or the NCMS are more vulnerable and have lower ATP. They also often have poor healthcare consciousness and access. Prior studies have showed that a patient’s economic status plays an important role in financial burden alleviation [52, 53]. Our study also highlighted that TB patients in poorer areas were more vulnerable. The number calculated by dividing OOP expenses by the annual average income per capita decreased progressively with the economic level of the studied counties. This relates to findings from other studies, which found that poverty is both a cause and a devastating outcome of TB [54]. Medical financial assistance for the poor has been established in almost all regions of China. However, the criteria to be eligible for this assistance are often very demanding and most TB patients are not qualified to apply, unless specific policies have been developed to meet their needs. This study had several limitations, hence, the conclusions drawn from this paper should be applied with caution. First, the sample size is relatively small. Only samples from one city in central China were considered. Second, previous studies concerning inequity are all based on income groups of the study participants. Due to the limitation of the information system, we couldn’t gather information about the income of every TB patient in this study. Instead, we made estimates using average incomes, which may narrow the differences of income-related equity among TB patients.

Conclusion

Our study had three major findings. First, there is a significant horizontal inequity of healthcare utilization among TB patients from lower socioeconomic groups. Second, poorer TB patients who are covered by the NCMS paid more out of pocket. Third, TB patients in the lower socioeconomic bracket were more vulnerable. These findings have important policy implications, especially in the context of TB control, implementation of health insurance schemes, and broader reforms of health equity. Further priorities could focus on improving healthcare equities in outcomes, controlling TB inpatient costs and addressing major concerns about the benefit packages of health insurance schemes. First, an important implication is that the disparity in reimbursement for TB care among the different health insurance schemes would eventually hamper TB control. Reducing the gap in health outcomes, i.e. reimbursement rates, among the three health insurance schemes in China should be a focus of TB care and control. Tuberculosis patients covered by the URBMI or the NCMS should be the target population of future healthcare policies on TB. This implication has an international significance. First, our study provides a solution for how health insurance schemes can be effective in TB control. According to the WHO, in 2013, nine million people fell ill with TB and 1.5 million died from the disease. Strategies are urgently needed to end the global TB epidemic. Second, UHC is an increasingly important global initiative. Our study of the China experience showed large disparities in reimbursement for TB care among the three health insurance schemes in the three dimensions of UHC, uncovering additional evidence about the impact of different health insurance benefit packages on TB health service utilization. In addition, the distributional results of health insurance expansion efforts could be enlightening, especially for countries with decentralized insurance systems. In order to achieve UHC, measures should be taken to improve health outcomes and tackle poverty by narrowing gaps and increasing the coverage of different health insurance schemes. Second, inequity is a common challenge worldwide. The present study reveals that there is inequity within counties, which may provide useful lessons for countries with decentralized insurance systems that face similar challenges. In addition, this study indicates that inequity could be reduced by tailoring health insurance policies. As for China, given the differences in reimbursement rates among the UEBMI, the URBMI and the NCMS, achieving equity through integrated policies that avoid discrimination is likely to be effective.
  48 in total

1.  Trends in access to health services and financial protection in China between 2003 and 2011: a cross-sectional study.

Authors:  Qun Meng; Ling Xu; Yaoguang Zhang; Juncheng Qian; Min Cai; Ying Xin; Jun Gao; Ke Xu; J Ties Boerma; Sarah L Barber
Journal:  Lancet       Date:  2012-03-03       Impact factor: 79.321

2.  Poverty and the economic effects of TB in rural China.

Authors:  S Jackson; A C Sleigh; G J Wang; X L Liu
Journal:  Int J Tuberc Lung Dis       Date:  2006-10       Impact factor: 2.373

3.  Horizontal equity in health care utilization evidence from three high-income Asian economies.

Authors:  Jui-fen R Lu; Gabriel M Leung; Soonman Kwon; Keith Y K Tin; Eddy Van Doorslaer; Owen O'Donnell
Journal:  Soc Sci Med       Date:  2006-10-02       Impact factor: 4.634

4.  Catastrophic payments for health care in Asia.

Authors:  Eddy van Doorslaer; Owen O'Donnell; Ravindra P Rannan-Eliya; Aparnaa Somanathan; Shiva Raj Adhikari; Charu C Garg; Deni Harbianto; Alejandro N Herrin; Mohammed Nazmul Huq; Shamsia Ibragimova; Anup Karan; Tae-Jin Lee; Gabriel M Leung; Jui-Fen Rachel Lu; Chiu Wan Ng; Badri Raj Pande; Rachel Racelis; Sihai Tao; Keith Tin; Kanjana Tisayaticom; Laksono Trisnantoro; Chitpranee Vasavid; Yuxin Zhao
Journal:  Health Econ       Date:  2007-11       Impact factor: 3.046

5.  Ethics, equity and renewal of WHO's health-for-all strategy.

Authors:  J H Bryant; K S Khan; A A Hyder
Journal:  World Health Forum       Date:  1997

6.  The impacts of health insurance on health care utilization among the older people in China.

Authors:  Xin Li; Wei Zhang
Journal:  Soc Sci Med       Date:  2013-03-05       Impact factor: 4.634

7.  Provision and financial burden of TB services in a financially decentralized system: a case study from Shandong, China.

Authors:  Qingyue Meng; Renzhong Li; Gang Cheng; Erik Blas
Journal:  Int J Health Plann Manage       Date:  2004 Oct-Dec

Review 8.  Defining equity in health.

Authors:  P Braveman; S Gruskin
Journal:  J Epidemiol Community Health       Date:  2003-04       Impact factor: 3.710

9.  The impact of race and insurance type on the outcome of endovascular abdominal aortic aneurysm (AAA) repair.

Authors:  Anthony Lemaire; Chad Cook; Sean Tackett; Donna M Mendes; Cynthia K Shortell
Journal:  J Vasc Surg       Date:  2008-04-14       Impact factor: 4.268

Review 10.  Patient adherence to tuberculosis treatment: a systematic review of qualitative research.

Authors:  Salla A Munro; Simon A Lewin; Helen J Smith; Mark E Engel; Atle Fretheim; Jimmy Volmink
Journal:  PLoS Med       Date:  2007-07-24       Impact factor: 11.069

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  24 in total

1.  Disparities in end-of-life care, expenditures, and place of death by health insurance among cancer patients in China: a population-based, retrospective study.

Authors:  Zhong Li; Peiyin Hung; Ruibo He; Xiaoming Tu; Xiaoming Li; Chengzhong Xu; Fangfang Lu; Pei Zhang; Liang Zhang
Journal:  BMC Public Health       Date:  2020-09-04       Impact factor: 3.295

2.  Direct medical costs of end-stage kidney disease and renal replacement therapy: a cohort study in Guangzhou City, southern China.

Authors:  Hui Zhang; Chao Zhang; Sufen Zhu; Hongjian Ye; Donglan Zhang
Journal:  BMC Health Serv Res       Date:  2020-02-14       Impact factor: 2.655

3.  Out-Patient Service and in-Patient Service: The Impact of Health Insurance on the Healthcare Utilization of Mid-Aged and Older Residents in Urban China.

Authors:  Junqiang Han; Xiaodong Zhang; Yingying Meng
Journal:  Risk Manag Healthc Policy       Date:  2020-10-19

4.  Costs of Hospitalization for Dementia in Urban China: Estimates from Two Urban Health Insurance Scheme Claims Data in Guangzhou City.

Authors:  Hui Zhang; Donglan Zhang; Yujie Yin; Chao Zhang; Yixiang Huang
Journal:  Int J Environ Res Public Health       Date:  2019-08-03       Impact factor: 3.390

5.  The quality of invasive breast cancer care for low reimbursement rate patients: A retrospective study.

Authors:  Shaofei Su; Han Bao; Xinyu Wang; Zhiqiang Wang; Xi Li; Meiqi Zhang; Jiaying Wang; Hao Jiang; Wenji Wang; Siyang Qu; Meina Liu
Journal:  PLoS One       Date:  2017-09-14       Impact factor: 3.240

6.  Case management of patients with Type 2 diabetes mellitus: a cross-sectional survey in Chongqing, China.

Authors:  Miao He; Jiaqi Gao; Weiwei Liu; Xiaojun Tang; Shenglan Tang; Qian Long
Journal:  BMC Health Serv Res       Date:  2017-02-11       Impact factor: 2.655

7.  Medical expenditure for patients with hemophilia in urban China: data from medical insurance information system from 2013 to 2015.

Authors:  Guang-Wen Gong; Ying-Chun Chen; Peng-Qian Fang; Rui Min
Journal:  Orphanet J Rare Dis       Date:  2020-06-05       Impact factor: 4.123

8.  The effect of low insurance reimbursement on quality of care for non-small cell lung cancer in China: a comprehensive study covering diagnosis, treatment, and outcomes.

Authors:  Xi Li; Qi Zhou; Xinyu Wang; Shaofei Su; Meiqi Zhang; Hao Jiang; Jiaying Wang; Meina Liu
Journal:  BMC Cancer       Date:  2018-06-25       Impact factor: 4.430

9.  Temporal trends and variation in out-of-pocket expenditures and patient cost sharing: evidence from a Chinese national survey 2011-2015.

Authors:  Vicky Mengqi Qin; Yuting Zhang; Kee Seng Chia; Barbara McPake; Yang Zhao; Emily S G Hulse; Helena Legido-Quigley; John Tayu Lee
Journal:  Int J Equity Health       Date:  2021-06-19

10.  Access to and affordability of healthcare for TB patients in China: issues and challenges.

Authors:  Shenglan Tang; Lixia Wang; Hong Wang; Daniel P Chin
Journal:  Infect Dis Poverty       Date:  2016-01-29       Impact factor: 4.520

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