Perceived challenges to achieving universal health coverage: a cross-sectional survey of social health insurance managers/administrators in China.

OBJECTIVE: China has achieved over 96% health insurance coverage. However, universal health coverage (UHC) entails population coverage and the range of services covered and the extent to which health service costs are covered. This study aimed to determine the performance of the health insurance system in China in terms of its role in UHC and to identify challenges in the progress of UHC as perceived by health insurance managers/administrators.
METHODS: A cross-sectional questionnaire survey was conducted in Beijing, Ningbo, Harbin and Chongqing over the period of 2014 and 2015. A stratified cluster random sampling strategy was adopted to select study participants. A total of 1277 (64.8%) respondents who reported familiarity with the current health insurance system and the requirements of UHC provided valid data for analyses. They gave a rating on the role of the current health insurance system in achieving UHC. A multivariate logistic regression model was developed to determine the associations between the rating and the features of insurance arrangements.
RESULTS: There was consensus among the respondents on the performance of the current health insurance system in terms of its role in UHC, regardless who they were and what responsibility they held in their organisation (ie, policy development, managing fund transactions, and so on). Overall, about 45% of the respondents believed that there is a long way to go to achieve UHC. The low rating was found to be associated with limited financial protection (OR=1.656, 95% CI 1.279 to 2.146), healthcare inequity (OR=1.607, 95% CI 1.268 to 2.037), poor portability (OR=1.347, 95% CI 1.065 to 1.703) and ineffective supervision and administration of funds (OR=1.339, 95% CI 1.061 to 1.692) as perceived by the respondents.
CONCLUSION: Health insurance managers/administrators in China are pessimistic about the achievements of the current health insurance system. They are concerned about the overall lack of benefit that insurance programmes bring to members, including low levels of entitlements, large healthcare inequity, limited financial protection and poor portability. A singular amendment of the structural design of the existing funds may not be enough to offer a satisfactory solution to these identified barriers. There is a need to increase funding capacities, to develop unified and consistent policies and to increase the level of fund pooling. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

This study drew on the experiences of a wide range of health insurance managers/administrator. They are key stakeholders of healthcare reform. It is important to understand the views of those who develop policies and manage the daily transactions of funds.

Although this study was undertaken in China, it can offer lessons to those countries that are expanding their health insurance programmes. It is important to note that a high coverage of health insurance is not enough. Insurance may stimulate healthcare consumptions, bringing disproportional negative consequences to the disadvantaged populations, especially when a high percentage of out-of-pocket payment is required. Equity needs to be considered in the design of insurance programmes. Effective and efficient management of fund is also important.

Due to limited resources, the survey was conducted only in four cities. Despite the limitations, this study provided important information for understanding how insurance managers/administrators perceive the role and the challenges of health insurance in facilitating universal health coverage.

In case the logistic regression modelling may not use some information, we also transformed the five categories of responses into three categories and performed proportional odds modelling using the ordered scale (results not presented in the text). The two modelling approaches generated consistent results.

Introduction

In 2005, the World Health Assembly issued a call on member states for universal health coverage (UHC), with an aim to achieve affordable and accessible medical care for all citizens.1 2 The Chinese government followed suit quickly and launched a series of health reforms. The first step in China’s reforms involved an expansion of social health insurance coverage. Three basic health insurance schemes, Basic Medical Insurance for Urban Employees (BMIUE), Basic Medical Insurance for Urban Residents (BMIUR) and the New Rural Cooperative Medical Scheme (NCMS), were established to provide healthcare-related financial protection to more than 1.3 billion people. The BMIUE covers urban employees (including retired and rural-to-urban migrant workers), with both employees and employers contributing to the insurance funds. The contribution of an employee goes to an individual medical saving account, which cannot be used by other members, whereas the contribution of employers goes to a social pooling account managed at the municipal level. A member can choose to use his/her individual medical saving account to pay for medical expenses that are not covered by the social pooling account.3 The NCMS covers rural residents, with funding coming from government subsidies, collective assistance and individual contributions. The NCMS funds are pooled and managed at the county level. The BMIUR covers urban residents who are neither covered by the BMIUE nor the NCMS, such as the self-employed, the unemployed, the elderly, children and students. The BMIUR funds are pooled at the municipal level, with contributions from the individual members and government subsidies. While the BMIUE and BMIUR programmes are overseen by the Human Resources and Social Security authorities, the NCMS programme is largely left in the hands of the Health and Family Planning authorities.4–7 Technically, these three basic health insurance schemes are not always mandatory. However, because of strong governmental interventions and subsidies, a very high population coverage has been achieved. Although in some programmes, individual contribution goes to an individual saving account, the contribution of governments and employers (if exist) is put into a social pooling account with risk sharing functions. The membership eligibility, benefits and other aspects of those insurance programmes are also defined by the government. In China, they are labelled as social health insurance.

The rapid expansion of health insurance programmes in China has been extraordinary. Within a few years, about 96% of Chinese people were covered by health insurance programmes.8 However, it is widely accepted that the high coverage of health insurance does not necessarily provide a guarantee of UHC. According to the WHO, UHC should consider the population coverage, the range of services covered and the extent to which health service costs are covered.9 10 Empirical evidence shows that people in China are still facing financial difficulties in managing illness. The funding level of health insurance has remained low despite a dramatic increase in governmental subsidies.11 The increase in medical expenditure exceeded the speed of wealth growth: from 2010 to 2013, the average annual growth of health expenditure reached 13.2%, 1.62 times higher than the growth of gross domestic product (GDP) in the same period.12 This resulted in limited benefits and serious inequity.13–15 Catastrophic health expenses continue to haunt some people, especially the poor and disadvantaged.16–19

The international experience has demonstrated that a systems approach is needed to achieve UHC.20 Action should be guided by a well-linked structure, processes and outcomes measures.21 There is consensus that the achievements of UHC depend on an efficient, equitable and sustainable healthcare system that can maximise health gains. The ability of health insurance programmes to contribute to such a system is determined by many factors, such as financial capacity (or bargaining power) of the funds, risk-sharing arrangements, provider payment mechanisms, management of consumer claims and cooperation across funds.22–26

Despite extensive studies into the performance of social health insurance programmes in China, there is a paucity in the literature documenting how insurance managers/administrators perceive and act in response to the call for UHC. This study aimed to understand how insurance managers/administrators perceive the role of health insurance in facilitating UHC and to identify the challenges that may limit the full functioning of health insurance programmes. The study drew on the experiences of a wide range of health insurance managers/administrators, from those who develop policies to those who manage the daily transactions of funds. The findings of this study may provide evidence to support improvements to the healthcare system in China and offer lessons to those countries that are expanding their health insurance programmes.

Methods

Sampling and data collection

A cross-sectional questionnaire survey was conducted over the period of 2014 and 2015. The participants were selected through stratified cluster random sampling. We identified four municipalities, Beijing, Ningbo, Harbin and Chongqing, representing different levels of economic development in China (table 1, table 2). In each municipality, about 40% of the hospitals (n=4~6), 20% of the social health insurance agencies (n=2~3), 20% of the health authorities (n=2~3), 10% of the research institutes (n=1~3) and 10% of the other relevant organisations (eg, health information centres, n=2~3) were randomly selected. The sample size was estimated based on the need for logistic regression analyses: 10 times more than the number of independent variables. The number of participating organisations is proportional to the size of the selected municipalities.

Table 1

Socioeconomic profiles of participating municipalities (2014)

	Beijing	Ningbo	Harbin	Chongqing
Population (million)	21.51	7.81	10.63	29.91
GDP per capita	¥99 995	¥99 210	¥53 925	¥48 031
Average salary	¥77 556	¥48 924	¥51 540	¥56 856
Urban average disposable income	¥43 910	¥44 155	¥28 815	¥25 147
Rural average net income	¥20 226	¥24 283	¥12 125	¥8 332

GDP, gross domestic product.

Table 2

Health insurance arrangements in participating municipalities (2014)

		Beijing	Ningbo	Harbin	Chongqing
Premium contribution
BMIUE	Employer:	10% salary	9% salary	6% salary	8% salary
	Employee:	2% salary	2% salary	2% salary	2% salary
	Self-employed:	–	–	–	¥1702.2 without an individual saving account; ¥3744.84 with an individual saving account
BMIUR	Government subsidy:	¥1000 per head	¥150*, ¥200†, ¥400‡, ¥500§ or ¥1800¶	¥60§,†,*,**, ¥80††, ¥256¶,‡‡ or ¥270‡	¥240 per head
	Individual:	¥160§,†,*,**, ¥360¶,‡‡ or ¥660‡	¥100*,†, ¥400§ or ¥600‡,¶	¥10††, ¥30*,†,§,**, ¥60‡ or ¥65¶,‡‡,§§	¥60 or ¥150
NCMS	Government subsidy:	≥¥900 per head	Integrated with BMIUR	¥320 per head	Integrated with BMIUR
	Individual:	≥¥100	Integrated with BMIUR	¥70	Integrated with BMIUR
Deductible line
BMIUE	Outpatient:	¥1800	¥500 for retired; ¥1000 for over 45 years; ¥1500 for under 45 years	–-	–
	Inpatient:	¥1300	¥800¶¶, ¥1000*** or ¥1200†††	¥240¶, ¥480*** or ¥720†††	¥200¶, ¥440*** or ¥880†††
BMIUR	Outpatient:	¥650	–	–	–
	Inpatient:	¥650§,† or ¥1300¶,‡,*,**,‡‡,§§,††	¥300¶¶, ¥600*** or ¥900†††	¥200‡‡‡, ¥240§§§, ¥480*** or ¥720††† for adults; ¥150‡‡‡, ¥200§§§, ¥300*** or ¥400††† for children and students	¥100¶¶, ¥300*** or ¥800†††
NCMS	Outpatient:	¥100¶¶ or ¥550***	Integrated with BMIUR	–	Integrated with BMIUR
	Inpatient:	¥300¶¶, ¥1000*** or ¥1300†††	Integrated with BMIUR	¥100¶¶¶, ¥400‡‡‡,§§§,***,****, ¥600†††† or ¥1000‡‡‡‡	Integrated with BMIUR
Reimbursement rate
BMIUE	Outpatient:	70%***,††† or 90%¶¶	75%†††, 80%*** or 85%¶¶	100%	100%
	Inpatient:	85% for ≤¥3000 or ≥¥100 000; 90% for ¥30 000–¥40 000; 95% for ¥40 000–¥100 000	80% for ≤¥35 000; 85% for ¥35 000–¥70 000; 90% for ≥¥70 000	88%†††, 91%*** or 94%¶¶	85%†††, 87%*** or 90%¶¶
BMIUR	Outpatient:	50%	30%†††, 45%*** or 60%¶¶	50%	100%
	Inpatient:	70%	68% for ≤¥20 000; 73% for ¥20 000–¥40 000; 78% for ≥¥40 000	50%†††, 55%***, 60%§§§, 65%‡‡‡ for adults; 70% for children and students	40%†††, 60%*** or 80%¶¶ for ¥60 premium; 45%†††, 65%*** or 85%¶¶ for ¥150 premium
NCMS	Outpatient:	30%†††c, 40%*** or 55%¶¶	Integrated with BMIUR	90%	Integrated with BMIUR
	Inpatient:	50%†††, 70%*** or 80%¶¶	Integrated with BMIUR	45%‡‡‡‡, 65%††††, 70%‡‡‡,§§§,***, 75%**** or 90%¶¶¶	Integrated with BMIUR
Maximum payouts
BMIUE	Outpatient:	¥20 000	–	Individual saving account only.	Individual saving account only.
	Inpatient:	¥300 000	–	¥250 000	¥500 000
BMIUR	Outpatient:	¥2000	¥3000	¥200	¥60
	Inpatient:	¥170 000	¥250 000	¥110 000	¥80 000 for ¥60 premium; ¥150 000 for ¥150 premium
NCMS	Outpatient:	¥3000	Integrated with BMIUR	The amount of family insured member× ¥20	Integrated with BMIUR
	Inpatient:	¥180 000	Integrated with BMIUR	¥80 000	Integrated with BMIUR

*For college students.

†For children 6–17 years old.

‡For unemployed.

§For children under 6 years.

¶For elderly.

**For non-college students.

††For poor or disabled children/students.

‡‡For disabled.

§§For poor.

¶¶For primary hospitals.

***In secondary hospitals.

†††In tertiary hospitals.

‡‡‡In primary health institutions in urban communities.

§§§In primary hospitals in cities.

¶¶¶In appointed primary health institutions in townships.

****In primary health institutions in counties.

††††In tertiary hospitals at municipal level.

‡‡‡‡In tertiary hospitals at provincial level.

BMIUE, Basic Medical Insurance for Urban Employees; BMIUR, Basic Medical Insurance for Urban Residents; GDP, gross domestic product; NCMS, New Rural Cooperative Medical Scheme.

All of the managers/administrators (n=2010) who were working in the health insurance units were invited to participate in the survey. A total of 1971 of those invited completed the questionnaire. ‘Do not have enough time’ is the most common excuse for those who refused to participate in the survey. The respondents were asked whether they were familiar with the ‘current Chinese health insurance system’ and the ‘requirements of universal health coverage’. Those who reported ‘very familiar’ with both were eligible for the purpose of this study (n=1291, representing 65% of all 1971 respondents). A small number of returned questionnaires from these eligible respondents contained incomplete data and were therefore excluded from data analyses, which resulted in a final sample size of 1277.

The questionnaire was administered through face-to-face interviews. The interviewers were recruited from Harbin Medical University (including health service researchers and postgraduate research students) and participated in an intensive training workshop before embarking on the fieldwork. Each participant was interviewed by two interviewers. To ensure data quality, 5% of the respondents were randomly selected and revisited by a quality control officer. The results showed a high level (96%) of consistency of data.

Measurement

The questionnaire was based on Donabedian’s ‘structure, process and outcomes’ model19 and comprised five parts. Part one gathered information in relation to the demographic and socioeconomic characteristics of the participants, such as age, sex, city, educational attainment, working unit and work experience. Part two measured the expectations of the respondents on health insurance arrangements (outcomes) in achieving UHC. These include premium contributions, scope of services covered and consumer compensations. Part three tapped into the perceptions of the respondents about the structural design of health insurance programmes, such as financial sources, membership, provider payment, bargaining power and cooperation across funds. Part four measured the views of the respondents on the operations (process) management of consumer claims, such as processing procedures, supervision and administration, portability and overall use of funds. Part five asked the respondents to estimate the effectiveness (outcome) of an integrated insurance approach to UHC, such as financial protection, equity and cost control (online supplementary appendix S1).

Data analysis

We performed multivariate logistic regression analyses to identify the potential challenges existing in health insurance arrangements to achieving UHC.

Dependent variable

The overall rating of the respondents on the performance of the current Chinese health insurance system in relation to UHC was the major concern of this study. It was defined as a perceived gap between the performance (impact) of the current Chinese health insurance system and the requirements of UHC. The respondents were asked to answer the question using a 5-point Likert scale (1=very serious, 2=serious, 3=medium, 4=minor, 5=very minor): ‘Think about the current health insurance system throughout the country. How would you rate the seriousness of the problems that have undermined the achievement of universal health coverage in general?’ (table 3). The rating was collapsed into two categories: 1=‘serious’ (including ‘very serious’ and ‘serious’) and 0=‘not serious’ (including ‘medium’, ‘minor’ and ‘very minor’) for the purpose of logistic regression modelling.

Table 3

Ratings on the role of the current Chinese health insurance system for achieving universal health coverage (n=1277)

Perceived gap in performance	Frequency	Percentage (%)
Very serious	252	19.7
Serious	319	25.0
Medium	587	46.0
Minor	113	8.8
Very minor	6	0.5

Independent variables

Expectations of health insurance arrangements

The respondents were asked to choose from three options for their preferred premium arrangements: varied by income, varied by insurance package and equal contribution from members. Their anticipated level of reimbursement was set to range from 100% to 90%–99%, 70%–89% and below 70%. The respondents were also asked to choose their preferred benefit (compensation) design: medical treatment, medical treatment and preventive care, and medical treatment and preventive care plus fringe benefits (such as meals, lodging or transportation subsidies).

Structural design of health insurance programmes

The respondents were asked to answer the question, ‘How do you feel about the structural design of health insurance in relation to the following aspects: enrolment, fee collection, provider payment, cross-fund cooperation and legal assurance’. Each aspect was assessed on a 10-point scale (ranging from totally irrational/incomplete to totally rational/complete). In the regression modelling, they were transformed into a dichotomous measurement and coded as 1=‘irrational/incomplete’ and 0=‘rational/complete’.

Operations (process) management of consumer claims

The respondents were asked to answer the question ‘How do you feel about the management of consumer claims in relation to the following aspects: processing procedure, fund usage, supervision and administration, legislation, portability, and bargaining power’. Similarly, each item was assessed on a 10-point scale (ranging from totally poor/cumbersome/ineffective to totally good/convenient/effective) and then they were collapsed into a dichotomous measurement for modelling.

Effectiveness (outcome) of an integrated insurance approach on UHC

The respondents were asked to answer the question, ‘How do you feel about the potential of an integrated insurance approach in relation to the following aspects: population coverage, financial protection, cost control, and equity’. Again, each item was assessed on a 10-point scale (ranging from totally ineffective to totally effective), and they were then collapsed into a dichotomous measurement for modelling.

Control variables

We controlled the confounding influence of demographic and socioeconomic characteristics (age, sex, city, education, working unit and work experience) of the respondents in the statistical analyses.

Statistical analysis

Data were analysed using SPSS V.21.0. We performed χ2 tests to determine the inclusion of independent and control variables in the logistic modelling. Those with a significant association with the overall rating on the health insurance system in the χ2 tests (p<0.05) were entered into the logistic regression models (method=‘ ENTER’, entry=‘0.05’, removal=‘0.10’).

We also transformed the five categories of responses into three categories (serious, medium and minor) and performed proportional odds modelling using the ordered scale. The two modelling approaches generated consistent results. For simplicity, we only presented the results of the logistic regression models.

Ethics approval

The study protocol was reviewed and approved by the Research Ethics Committee of Harbin Medical University.

Results

Characteristics of respondents

More than half of the respondents were women (59.4%) and were aged between 30 and 44 years (59.4%). The majority (81.6%) had completed tertiary education. About 58% had worked more than 10 years at the time of the survey. Respondents from hospitals comprised 40.3% of all respondents.

Ratings on health insurance

Overall, 44.7% of respondents believed that serious problems exist in the current Chinese health insurance system which undermined the achievement of UHC (table 3). The rating of the performance of the current health insurance system was found to be significantly associated with the educational attainments of the respondents, and their expectations of and perceived rationality and impacts of the health insurance system (table 4). The respondents who had obtained a doctoral degree; those who preferred a broader scope of coverage (including medical treatment and preventive care, or medical treatment and preventive care plus fringe benefits); who felt disappointed with the insurance programmes (regarding its provider payment, bargaining power and legal assurance); who criticised the operations management (in its supervision and administration of funds and portability of entitlements); and those who perceived lower levels of the impact of health insurance programmes (in its financial protection, cost containment, and healthcare equity) were more likely to rate the role played by the current health insurance system in achieving UHC as low. However, no differences in the performance rating were found between those who engaged in different tasks at different settings, those who worked in different cities and those who had different expectations of the share of financial contributions and benefits of the insurance programmes.

Table 4

Factors associated with ratings of respondents on the performance of the current Chinese health insurance system (n=1277)

Characteristics of respondents	n (%)	Rated with serious problems (%)	χ2	p Value
Sex			0.483	0.487
Male	519 (40.6)	226 (43.5)
Female	758 (59.4)	345 (45.5)
Age (years)			1.299	0.729
<30	171 (13.4)	82 (48.0)
30–44	759 (59.4)	340 (44.8)
45–59	303 (23.7)	129 (42.6)
≥60	44 (3.4)	20 (45.5)
Level of education			8.116	0.044
Without a tertiary degree	234 (18.3)	96 (41.0)
University undergraduate degree	764 (59.8)	340 (44.5)
Master’s degree	215 (16.8)	96 (44.7)
Doctoral degree	64 (5.0)	39 (60.9)
Working experience (years)			5.519	0.063
<5	262 (20.5)	134 (51.1)
5–9	280 (21.9)	121 (43.2)
≥10	735 (57.6)	316 (43.0)
Working unit			2.086	0.720
Hospitals	514 (40.3)	236 (45.9)
Health authority	274 (21.5)	121 (44.2)
Social insurance agency	281 (22.0)	118 (42.0)
Research institute	106 (8.3)	52 (49.1)
Others	102 (8.0)	44 (43.1)
City			6.829	0.078
Beijing	358 (28.0)	151 (42.2)
Ningbo	265 (20.8)	122 (46.0)
Harbin	314 (24.6)	158 (50.3)
Chongqing	340 (26.6)	571 (44.7)
Expectations of insurance arrangements
Individual contribution			0.705	0.703
Varied by income	263 (20.6)	112 (42.6)
Varied by insurance packages	434 (34.0)	194 (44.7)
Equal contributions from members	580 (45.4)	265 (45.7)
Reimbursement rate			1.331	0.722
100%	338 (26.5)	159 (47.0)
90%–99%	671 (52.5)	296 (44.1)
70%–89%	242 (19.0)	106 (43.8)
<70%	26 (2.0)	10 (38.5)
Scope of covered services			6.329	0.042
Medical treatment and preventive care plus fringe benefits	378 (29.6)	184 (48.7)
Medical treatment and preventive care	616 (48.2)	277 (45.0)
Medical treatment only	283 (22.2)	110 (38.9)
Structural design of health insurance programmes
Enrolment			3.488	0.062
Irrational	762 (59.7)	357 (46.9)
Rational	515 (40.3)	214 (41.6)
Financial sources			0.525	0.469
Irrational	507 (39.7)	233 (46.0)
Rational	770 (60.3)	338 (43.9)
Provider payment			3.923	0.048
Irrational	892 (69.9)	415 (46.5)
Rational	385 (30.1)	156 (40.5)
Cooperation across funds			1.247	0.264
Irrational	716 (56.1)	330 (46.1)
Rational	561 (43.9)	241 (43.0)
Legal assurance			4.140	0.042
Incomplete	852 (66.7)	398 (46.7)
Complete	425 (33.3)	173 (40.7)
Operations management of patient claims
Processing procedure			2.632	0.105
Cumbersome	742 (58.1)	346 (46.6)
Convenient	535 (41.9)	225 (42.1)
Use of funds			3.193	0.074
Ineffective	741 (58.0)	347 (46.8)
Effective	536 (42.0)	224 (41.8)
Supervision and administration of funds			4.079	0.043
Ineffective	759 (59.4)	357 (47.0)
Effective	518 (40.6)	214 (41.3)
Bargaining power			3.917	0.048
Poor	812 (63.6)	380 (46.8)
Good	465 (36.4)	191 (41.1)
Portability of entitlement			6.371	0.012
Poor	774 (60.6)	368 (47.5)
Good	503 (39.4)	203 (40.4)
Perceived impacts of health insurance
Population coverage			2.204	0.138
Not universal	134 (10.5)	68 (50.7)
Universal	1143 (89.5)	503 (44.0)
Financial protection			16.581	0.000
Ineffective	918 (71.9)	443 (48.3)
Effective	359 (28.1)	128 (35.7)
Cost containment			4.486	0.034
Ineffective	748 (58.6)	353 (47.2)
Effective	529 (41.4)	218 (41.2)
Healthcare equity			17.697	0.000
Ineffective	768 (60.1)	380 (49.5)
Effective	509 (39.9)	191 (37.5)

The logistic regression model identified four significant predictors (p<0.05) of the low rating for health insurance after controlling for confounding factors: perceived low impacts of health insurance on financial protection (OR=1.656) and healthcare equity (OR=1.607), poor portability of entitlements (OR=1.347) and ineffective supervision and administration of funds (OR=1.339). The variables in relation to the characteristics of the respondents and the structural design of the insurance programmes were statistically insignificant in the model (table 5).

Table 5

Predictors of low ratings on the performance of the current Chinese health insurance system: findings from logistical regression modelling

Variables	OR	95% CI
Level of education
University undergraduate degree	1.041	0.766	1.416
Master’s degree	1.029	0.700	1.515
Doctoral degree	2.164	1.206	3.885
Without a tertiary degree (reference)
Expectations of insurance arrangements
Scope of covered services
Medical treatment and preventive care plus fringe benefits	1.488	1.077	2.055
Medical treatment and preventive care	1.290	0.960	1.735
Medical treatment only (reference)
Structural design of health insurance programmes
Provider payment
Irrational	1.256	0.976	1.617
Rational (reference)
Legal assurance
Incomplete	1.268	0.994	1.618
Complete (reference)
Operations management of patient claims
Supervision and administration of funds
Ineffective	1.339	1.061	1.692
Effective (reference)
Bargaining power
Poor	1.221	0.961	1.551
Good (reference)
Portability of entitlements
Poor	1.347	1.065	1.703
Good (reference)
Perceived impacts of health insurance
Financial protection
Ineffective	1.656	1.279	2.146
Effective (reference)
Cost containment
Ineffective	1.255	0.992	1.589
Effective (reference)
Healthcare equity
Ineffective	1.607	1.268	2.037
Effective (reference)
Constants	0.121

Perceived reasons for low ratings on health insurance

Of those who gave a negative rating on the current health insurance system in terms of its role in UHC (n=571), 76.1% blamed the low level of entitlements (reimbursement rate), 72.7% believed that the benefit packages failed to meet the needs of patients, 66% criticised the identity-linked insurance schemes and geographic variations for exacerbating healthcare inequity and 53.9% identified the poor portability of entitlements as a major constraint in achieving UHC. These respondents were also critical of the operations management of the insurance programmes, with 58.7% attributing inefficient management as a reason for poor insurance performance, compared with 49.2% blaming the ineffective control of soaring medical costs, 41.4% blaming the cumbersome claim processing procedures,and 38.9% blaming the shortage of a tiered referral mechanism (figure 1).

Figure 1

Perceived reasons for low ratings on health insurance.

Discussion

There was consensus among the respondents on the performance of the current health insurance system in terms of its role in UHC regardless of who they were and what responsibilities they held in their organisation. Overall, about 45% of the respondents believed that there is a long way to go to achieve UHC despite nearly total universal health insurance coverage in China.27 28 The low ratings on the performance of the insurance programmes remain consistent among those who have different demographic characteristics and work experience, and between those who develop policies and those who manage daily transactions.

The health insurance managers/administrators were overwhelmingly concerned about the actual benefits that the insurance programmes are able to offer their members, such as financial protection, healthcare equity, effective use of funds and portability of entitlements. However, it seems that they tended not to associate the shortage of achievements with the structural design of those insurance programmes. No differences were found in the ratings of those who had different preferences on the structural design of the insurance programmes, such as how individuals contribute to the funds and what percentage of medical expenses is reimbursed. Clearly, the respondents were more concerned about the overall capacity of the insurance programmes. This is understandable because overall, the available funds are limited and individual contributions are low. In 2013, the BMIUR and NCMS had, on average, ¥450 and ¥410 of funding per member, respectively, but the average per capita health expenditure reached ¥2300 (1 dollar=6.3125 RMB on average).29 Due to limited funds, many services have been deliberately excluded from insurance claims. These include, but are not limited to, prevention-oriented services30 such as the management of chronic conditions and routine physical examinations, which is a great financial burden for many consumers.31 In addition, once their hospital bills exceed a certain level (usually about six times the local average salary or disposable/net income), patients have to pay the remainder from their own pockets.32

Challenges to UHC

Limited financial protection

A lack of capacity to offer effective financial protection was identified as the most important challenge hindering the achievement of UHC. Indeed, financial protection has been considered a crucial element of universal health coverage.33–36 We found that the odds of low ratings on health insurance by those who perceived ineffective financial protection was 1.66 times of those who perceived effective financial protection. More than 72% of the respondents who gave a low rating on health insurance believed that the insurance programmes have failed to meet the needs of members.

These results are consistent with the findings of other studies. In a recent commentary, Yip and Hsiao8 claimed that the financial protection function of the current Chinese health system remains insufficient.16 According to the WHO global health expenditure database,37 out-of-pocket payments in China amounted to 32% of the total health expenditure in 2014, which is much higher than the level (15%–20%) recommended by the WHO.38 Empirical evidence shows that the high level of out-of-pocket payments in China has resulted in catastrophic health expenditure and the medical impoverishment of the poor and disadvantaged.16 At the 2013 National Health Conference, Dr Zhu Chen, former health minister, admitted that the actual compensation rate of health insurance programmes in China was 50%, which is lower than the announced average of 75%.39

Despite the many thorny problems and challenges, we must admit that it was an incredible achievement of China, to reach above 96% coverage of health insurance in such a short period of time. However, the following issues must be addressed to further progress towards UHC. Increasing government investment is needed. Insufficient funding is an underlying cause of the major concerns (high level of out-of-pocket payment and insufficient benefit package) raised by the survey respondents. Currently, government spending on health in China accounts for only 3.1% of GDP, which is much lower than the world average 5.99% in 2014.40 According to a group of health economists convened by Chatham House, governments should commit to spending at least 5% of GDP on health in order to achieve UHC.41 This suggests that there is still some space for improvement. China may be able to succeed in UHC with increased public financial support, budget transfers and subsidies.

Healthcare inequity

Healthcare inequity is another major concern expressed by the respondents. A needs-based equal access system is the fundamental goal of UHC. We found that the odds of low ratings on health insurance by those who perceived a lack of influence of insurance on healthcare equity was 1.60 times of those who perceived a positive role of the insurance programmes.

Obviously, the health insurance system itself has contributed, at least in part, to the increasing healthcare inequity. About 66% of the respondents who gave a low rating on health insurance programmes criticised the multiple insurance policies for exacerbating healthcare inequity. The current Chinese health insurance system comprises three mutually exclusive schemes—BMIUE, BMIUR and NCMS. Previous studies have demonstrated that significant entitlement disparities exist among the three schemes. BMIUE members enjoy the highest level of entitlements compared with members of the other two schemes. These include larger available funds, broader scope of services covered and higher compensation rates.42 Even within the same insurance scheme, richer members may also benefit more than their poorer counterparts due to barriers imposed by the requirements of out-of-pocket payments. The National Urban Health Insurance Household Survey (2007–2011) revealed that 40% of medical expenditure was covered by health insurance for the highest income group compared with only 28% for the lowest income group in BMIUR.43 Another study found that the NCMS actually enlarged income-related inequality in the prevalence of catastrophic health expenditure.44 Regional differences further compound healthcare inequity. Large regional disparities in economic development and health insurance arrangements exist in China.45 46

Poor portability of entitlements

A lack of portability of entitlements of health insurance programmes was perceived as one of the barriers to achieving UHC. We found that the odds of low ratings on health insurance by those who perceived poor portability was 1.35 times of those who perceived good portability. About 54% of the respondents who gave a low rating on health insurance believed that poor portability has hindered the progress of UHC. In China, most health insurance funds have been set up and managed at the city or county level. Only six provinces (out of 31 provinces) have allowed insurance members to receive a healthcare service and to also receive compensation outside their home cities/counties,47 although with a lower level of benefits. The great variations across health insurance programmes in terms of premiums, benefit packages and reimbursement and the lack of information system support have imposed a serious barrier on the effort to increase the portability of insurance entitlements.

The poor portability of insurance entitlements runs counter to the trend of increased population mobility. With rapid industrialisation and urbanisation, floating populations in China reached 2.53 billion by the end of 2014.48 However, many of them were insured with their home counties/cities. The low accessibility of floating populations to their insurance funds has attracted increasing concerns from the society.49 50

Ineffective supervision and administration of funds

A good supervisory and administration system is essential for insurance funds to be effective in achieving UHC.51 52 We found that those who felt disappointed with fund administration were more likely (OR=1.34) to give a low rating on the performance of insurance programmes compared with those who reported positively on the supervisory and administration system.

The current management system for the health insurance programmes is highly fragmented and inefficient. There is a lack of universal and consistent policies for claim management. While the BMIUE and BMIUR schemes are overseen and managed by the Human Resources and Social Security authority, the NCMS scheme remains a responsibility of the health authority. Coordination across these schemes is extremely challenging, diminishing the bargaining power of the insurance authorities. The lack of coordination also creates wastage in infrastructure development.42 53 54

Limitation

Due to limited resources, the survey was conducted only in four cities. Despite the limitations, this study provided important information for understanding how insurance managers perceive the role and the barriers of health insurance in facilitating UHC to support the development of healthcare system in China, and offer lessons to those countries that are expanding their health insurance programmes.

In case the logistic regression modelling may not use some information, we also transformed the five categories of responses into three categories and performed proportional odds modelling using the ordered scale (results not presented in the text). The two modelling approaches generated consistent results. The logistic models match well with the purpose of our study: to understand how insurance managers/administrators perceive the role of health insurance in facilitating UHC and to identify the challenges that may limit the full functioning of health insurance programmes.

Conclusion and policy recommendations

Health insurance managers in China are pessimistic about the achievements of the current health insurance system. They are concerned about the overall benefits that the insurance programmes can bring to members. Low levels of entitlements, large healthcare inequality, limited financial protection and poor portability are deemed as major challenges in the progress of UHC.

It is important to note that amendments to the structural design of the existing funds may not be enough to offer a satisfactory solution to these identified barriers. According to the perceptions of the health insurance managers, increasing funding capacity may be more important than singular adjustments of the share of premium contributions and the level of defined compensation. Increasing government investment in health is a necessary condition for improving finical protection. The findings also indicate that unified and consistent policies are required to reduce healthcare inequalities within and across funds. Although it is too early to conclude that a national approach is needed, a higher level of fund pooling will definitely bring benefits to improved portability, a better share of financial risks and more efficient operations management of funds. In recent years, there have been calls for the establishment of transitional funds at the provincial or national level, providing additional support to the poor and disadvantaged.42 53 55

For those countries that are expanding their health insurance programmes, it is important to note that a high coverage of health insurance is not enough. Insurance may stimulate healthcare consumptions, bringing disproportional negative consequences to the disadvantaged populations, especially when a high percentage of out-of-pocket payment is required. Equity needs to be considered in the design of insurance programmes. Effective and efficient management of fund is also important.

Supporting information

See online supplementary appendix. Questionnaire