IntroductionDespite policy measure to strengthen and promote primary care, Chinese patients increasingly choose to access higher level hospitals. The resulting overcrowding at higher level hospitals and underutilisation of primary care are viewed to diminish the effects of the continuing health system investments on population health. We explore the factors that influence the choice of healthcare facility level in rural and urban China and aim to reveal the underlying choice processes.MethodsWe conducted eight semistructured focus group discussions among the general population and the chronically ill in a rural area in Chongqing and an urban area in Shanghai. Respondents’ discussions of (evidence-based) factors and how they influenced their facility choices were analysed using qualitative analysis techniques, from which we elicited choice process maps to capture the partial order in which the factors were considered in the choice process.ResultsThe factors considered, after initial illness perception, varied over four stages of health service utilisation: initial visit, diagnosis, treatment and treatment continuation. The factors considered per stage differed considerably between the rural and urban respondents, but less so between the general population and the chronically ill. Moreover, the rural respondents considered the township health centres as default and prefer to continue in primary care, yet access higher levels when necessary. Urban respondents chose higher levels by default and seldom moved down to primary care.ConclusionsDisease severity, medical staff, transportation convenience, equipment and drug availability played important roles when choosing healthcare facilities in China. Strengthening primary care correspondingly may well be effective to increase primary care utilisation by the rural population but insufficient for the urban population. The developed four-stage process maps are general enough to serve as the basis for (partially) ordering factors influencing facility level choices in other contexts.

ObjectiveTo identify the facilitators and barriers to implement family doctor contracting services in China by using Consolidated Framework for Implementation Research (CFIR) to shed new light on establishing family doctor systems in developing countries.DesignA qualitative study conducted from June to August 2017 using semistructured interview guides for focus group discussions (FGDs) and individual interviews. CFIR was used to guide data coding, data analysis and reporting of findings.Setting19 primary health institutions in nine provinces purposively selected from the eastern, middle and western areas of China.ParticipantsFrom the nine sampled provinces in China, 62 policy makers from health related departments at the province, city and county/district levels participated in 9 FGDs; 19 leaders of primary health institutions participated in individual interviews; and 48 family doctor team members participated in 15 FGDs.ResultsBased on CFIR constructs, notable facilitators included national reform involving both top-down and bottom-up policy making (Intervention); support from essential public health funds, fiscal subsidies and health insurance (Outer setting); extra performance-based payments for family doctor teams based on evaluation (Inner setting); and positive engagement of health administrators (Process). Notable barriers included a lack of essential matching mechanisms at national level (Intervention); distrust in the quality of primary care, a lack of government subsidies and health insurance reimbursement and performance ceiling policy (Outer setting); the low competency of family doctors and weak influence of evaluations on performance-based salary (Inner setting); and misunderstandings about family doctor contracting services (Process).ConclusionsThe national design with essential features including financing, incentive mechanisms and multidepartment cooperation, was vital for implementing family doctor contracting services in China. More attention should be paid to the quality of primary care and competency of family doctors. All stakeholders must be informed, be involved and participate before and during the process.

BackgroundChina is in the process of integrating the new cooperative medical scheme (NCMS) and the urban residents’ basic medical insurance system (URBMI) into the urban and rural residents’ basic medical insurance system (URRBMI). However, how to integrate the financing policies of NCMS and URBMI has not been described in detail. This paper attempts to illustrate the differences between the financing mechanisms of NCMS and URBMI, to analyze financing inequity between urban and rural residents and to identify financing mechanisms for integrating urban and rural residents’ medical insurance systems.MethodsFinancing data for NCMS and URBMI (from 2008 to 2015) was collected from the China health statistics yearbook, the China health and family planning statistics yearbook, the National Handbook of NCMS Information, the China human resources and social security statistics yearbook, and the China social security yearbook. “Ability to pay” was introduced to measure inequity in health financing. Individual contributions to NCMS and URBMI as a function of per capita disposable income was used to analyze equity in health financing between rural and urban residents.ResultsURBMI had a financing mechanism that was similar to that used by NCMS in that public finance accounted for more than three quarters of the pooling funds. The scale of financing for NCMS was less than 5% of the per capita net income of rural residents and less than 2% of the per capita disposable income of urban residents for URBMI. Individual contributions to the NCMS and URBMI funds were less than 1% of their disposable and net incomes. Inequity in health financing between urban and rural residents in China was not improved as expected with the introduction of NCMS and URBMI. The role of the central government and local governments in financing NCMS and URBMI was oscillating in the past decade.ConclusionsThe scale of financing for URRBMI is insufficient for the increasing demands for medical services from the insured. The pooling fund should be increased so that it can better adjust to China’s rapidly aging population and epidemiological transitions as well as protect the insured from poverty due to illness. Individual contributions to the URBMI and NCMS funds were small in terms of contributors’ incomes. The role of the central government and local governments in financing URRBMI was not clearly identified. Individual contributions to the URRBMI fund should be increased to ensure the sustainable development of URRBMI. Compulsory enrollment should be required so that URRBMI improves the social medical insurance system in China.

ObjectiveIn China, patients increasingly choose to access already severely overcrowded higher level hospitals, leaving lower level facilities with low utilization rates. This situation undermines the effectiveness and efficiency of the health system. The situation tends to worsen despite policy measures aimed at improvement. We systematically review the factors affecting patient choice to synthesize scientific understanding of health system access in China. The review provides an evidence base for measures to direct patient flow towards lower level facilities.MethodsWe screened the peer-reviewed literature published from April 2009 to January 2016 that investigates Chinese patients’ choice of health care facilities at different levels and assessed 45 studies in total. We applied two structured forms to extract data on each study’s characteristics, methodology, and factors.Results of data synthesisThe results identified four factor types: 1) patient, 2) provider, 3) context and 4) composite: combined patient, provider, and/or context attributes. Patient factors are mentioned the most, but the evidence on patient factors is often inconclusive. Evidence suggests that the provider factors ‘drug variety’ and ‘equipment’, and composite factor ‘perceived quality’, push patients from lower levels towards higher levels.ConclusionUnderuse of primary care facilities and overcrowding of higher level facilities will likely be amplified by current demographic trends. Evidence suggests that improving drug availability, equipment and perceived quality of primary care services can improve the situation. Well-designed research that considers the interactions between factors is called for to better inform future interventions.

IntroductionThe Chinese New Cooperative Medical Scheme (NCMS) was launched in 2003 aiming at protecting the poor in rural areas from high health expenditures and improving access to health services. The income related inequality of the reform is a debating and concerning policy issue in China. The purpose of this study is to analyze the degree and changes of income related inequalities in both inpatient and outpatient services among NCMS enrollees from 2007 to 2011.Data and methodsData was extracted from the NCMS information system of Junan County in Shandong province from 2007 to 2011. The study targeted all NCMS enrollees in the county, 726850 registered in 2011. Detailed information included demographic data, inpatient and outpatient data in each year. Descriptive analysis of quintiles and standardized concentration index (CI*) were employed to examine the income related inequalities in both inpatient and outpatient care.ResultsFor inpatient care, the benefit rate CI* was positive (pro-rich) and increased from 2007 to 2011 while for outpatient care was negative (pro-poor) and a decreasing pattern was observed. For outpatient visits and expenses, the CI* changed from a positive sign in 2007 to a negative sign in 2011 with some fluctuations. The pro-rich inequality exacerbated for admissions while alleviated for length of stay and total inpatient expenses during the study period. The pro-rich inequality for inpatient reimbursement aggravated from 2007 to 2010 and alleviated from 2010 to 2011. For outpatient reimbursement, it altered from a positive sign in 2007 to a small negative sign in 2011. Finally, the richer needed to afford more self-payments for inpatient services and the CI* decreased from 2009 to 2011 while the inequality for outpatient self-payments changed from pro-rich in 2007 to pro-poor in 2011.ConclusionsIn the NCMS, the pro-rich inequality dominated for the inpatient care while a pro-poor advantage was shown for outpatient care from 2007 to 2011 in Junan. The extent of pro-rich inequality in length of stay, inpatient expenses and inpatient reimbursement increased from 2007 to 2009, but recently between 2010 and 2011 showed a change favoring the poor.