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Background
This study aims to evaluate the dialectical relationship between equity and efficiency of health resource allocation and health service utilization in China.
Methods
We analyzed the inequity of health resource allocation and health service utilization based on concentration index (CI) and Gini coefficient. Data envelopment analysis (DEA...
Citations
... Moreover, a Basic Public Health Service Project was implemented to provide the complete cycle of health services for newborns and primary prevention measures such as folic acid supplementation for mothers 41 , thus further reducing the three indicators in rural areas. Nevertheless, rural areas continue to suffer from lagging economies 42 , considerable regional differences in MCH services 43 , irregular MCH staff 44 , and generally inadequate resources for MCH 45 . These considerations highlighted the need to continue and reinforce efforts to promote MCH. ...
The long-term trends in maternal and child health (MCH) in China and the national-level factors that may be associated with these changes have been poorly explored. This study aimed to assess trends in MCH indicators nationally and separately in urban and rural areas and the impact of public policies over a 30‒year period. An ecological study was conducted using data on neonatal mortality rate (NMR), infant mortality rate (IMR), under-five mortality rate (U5MR), and maternal mortality ratio (MMR) nationally and separately in urban and rural areas in China from 1991 to 2020. Joinpoint regression models were used to estimate the annual percentage changes (APC), average annual percentage changes (AAPC) with 95% confidence intervals (CIs), and mortality differences between urban and rural areas. From 1991 to 2020, maternal and child mortalities in China gradually declined (national AAPC [95% CI]: NMRs − 7.7% [− 8.6%, − 6.8%], IMRs − 7.5% [− 8.4%, − 6.6%], U5MRs − 7.5% [− 8.5%, − 6.5%], MMRs − 5.0% [− 5.7%, − 4.4%]). However, the rate of decline nationally in child mortality slowed after 2005, and in maternal mortality after 2013. For all indicators, the decline in mortality was greater in rural areas than in urban areas. The AAPCs in rate differences between rural and urban areas were − 8.5% for NMRs, − 8.6% for IMRs, − 7.7% for U5MRs, and − 9.6% for MMRs. The AAPCs in rate ratios (rural vs. urban) were − 1.2 for NMRs, − 2.1 for IMRs, − 1.7 for U5MRs, and − 1.9 for MMRs. After 2010, urban‒rural disparity in MMR did not diminish and in NMR, IMR, and U5MR, it gradually narrowed but persisted. MCH indicators have declined at the national level as well as separately in urban and rural areas but may have reached a plateau. Urban‒rural disparities in MCH indicators have narrowed but still exist. Regular analyses of temporal trends in MCH are necessary to assess the effectiveness of measures for timely adjustments.
... Firstly, it might be influenced by geographic inequality in healthcare resources and access across China's diverse regions. In this country, wealthier provinces possess greater financial resources for healthcare services, with approximately 30% of provinces drawing 50% of high-quality healthcare resources [44]. Our survey was conducted in Guizhou province, which is characterised as economically disadvantaged and experiences a lower healthcare resource supply and utilisation compared to its more developed counterparts [45]. ...
Background
Despite the recognised high prevalence of migraines among bank employees, yet their healthcare utilisation patterns and the economic burden of migraines remain underexplored.
Aim
To examine migraine-related healthcare utilisation among bank employees in China, and to estimate the economic burden of migraines.
Methods
A cross-sectional survey was conducted in Guizhou province, China between May and October 2022. The HARDSHIP questionnaire was used to identify migraine-positive individuals and enquire about their healthcare utilisation and productivity losses. A probabilistic decision-analytic model with a micro-costing approach was used to estimate the economic burden from the perspectives of the healthcare system, employers, and society. All costs were expressed in 2022 United States dollars. One-way and probabilistic sensitivity analyses were performed.
Results
Nearly half of individuals with migraines reported not seeking medical care. Only 21.8% reported seeking outpatient consultations, 52.5% reported taking medicines, and 27.1% reported using complementary therapies. Chronic migraine patients had significantly higher healthcare utilisation than episodic migraine patients. Among individuals with a monthly migraine frequency of 15 days or more, 63.6% took inappropriate treatments by excessively using acute medications. Migraines in the banking sector in Guizhou cost the healthcare system a median of $7,578.0 thousand (25th to 75th percentile $4,509.2–$16,434.9 thousand) per year, employers $89,750.3 thousand (25th to 75th percentile $53,211.6–$151,162.2 thousand), and society $108,850.3 thousand (25th to 75th percentile $67,370.1–$181,048.6 thousand). The median societal cost per patient-year is $3,078.1. Migraine prevalence and productivity losses were identified as key cost drivers.
Conclusions
The study points to the need to raise awareness of migraines across all stakeholders and to improve the organisation of the migraine care system. A substantial economic burden of migraines on the healthcare system, employers, and society at large was highlighted. These cost estimates offer evidence-based benchmarks for assessing economic savings from improved migraine management, and can also draw the attention of Chinese policymakers to prioritise migraine policies within the banking and other office-based occupations.
... Due to the imbalance in economic development and the diversity in Chinese geography, a large proportion of China's population is at the grassroot-level, primarily using CBHS [10]. CBHS is mainly delivered by the grassrootlevel health care institutions including community health service centers, urban/suburban health centers, and rural clinics [11]. ...
Background
There is a substantially increasing need for general practitioners (GPs) for future unpredictable pandemic crises, especially at the community-based health services (CBHS) level to protect the vast and varied grassroot-level population in China. Thus, it is crucial to understand the factors that affect Chinese medical students’ GP career choices and commitments to CBHS.
Methods
Leveraging the self-administered data collected across the country, this study conducted logistic regressions with 3,438 medical students. First, descriptive statistics of outcome variables and independent variables were provided. Then, stepwise logistic regression models were built, starting from adding individual characteristics, and then familial and institutional characteristics. Last, post-estimation was conducted to further assess whether there were significant marginal effects.
Results
Results showed that women students were 24% less likely to choose GP careers but were 1.25 times more likely to commit to CBHS than their men peers, holding other individual, familial, and institutional characteristics constant. In addition, students who major in GP-orientated were more likely to choose GP careers and commit to CBHS, respectively, than those who major in clinical medicine. Furthermore, familial characteristics like annual income and mother’s educational level only significantly predicted commitments to CBHS. Notably, sex-related differences in GP career choices and commitments to CBHS – by different regions – were observed.
Conclusions
Understanding the factors that affect medical students’ GP career choices sheds light on how medical education stakeholders can make informed decisions on attracting more medical students to GP-orientated majors, which in turn cultivates more GP professionals to meet the nation’s demand for GPs. In addition, by understanding the factors that influence medical students’ commitment to CBHS, policymakers could make beneficial policies to increase medical students’ motivations to the grassroot-level health institutions, and devote to CBHS as gatekeepers for a large population of residents’ health.
... Based on the principles of scientificity, feasibility, availability, and comparability [36], we select the following evaluation indicators [37][38][39][40][41][42][43][44][45]: the number of elderly care facilities per 10,000 older adults (Y 1 ), the area of park green spaces per 10,000 older adults (Y 2 ), the number of urban basic old-age insurance participants per 10,000 older adults (Y 3 ), and the number of medical beds per 10,000 older adults (Y 4 ), corresponding to the four second-level indicators, respectively. The more elderly care facility institutions, the more abundant life service resources are available to the older adults; the more park green spaces every older adult owns, the more friendly communities will be developed; the more participants, the more social security resources are supplied; the more medical beds, the more elderly inpatients can be adopted [31]. ...
The imbalance between supply and demand of elderly care resources in the Yangtze River Delta is increasing. By the older adult agglomeration, spatial cluster analysis, hotspot analysis, and coupling coordination model, this study explores the spatial coupling relationship between older adults and elderly care resources in the Yangtze River Delta in 2020 from the perspective of a supply-and-demand balance. The results demonstrate that: (1) population aging is mainly in the moderate aging stage, followed by the primary aging stage; (2) there are significant spatial differences in elderly care resources on the urban scale in the Yangtze River Delta; and (3) elderly care resources and the older adults in the Yangtze River Delta are mostly highly coupled. However, Nantong, with the highest degree of aging, has a serious mismatch in life service resources and ecological environment resources. The social security resources and medical resources of provincial capital cities with low aging are mismatched. Medical and health resources in underdeveloped areas are seriously mismatched. The social security resources are barely matched in Shanghai. A path for optimizing the spatial allocation of elderly care resources is proposed. This research offers a decision-making reference for coordinating elderly care resources distribution.
... The United Nations Summit on NCD, held by the United Nations in 2011, recognised the primary role and responsibility of governments in addressing the challenges of NCD prevention and control; all sectors of society must also make efforts and participate in order to come up with effective responses to prevent and control NCDs. 4 China is undergoing its most rapid industrialisation and urbanisation in recent decades. 59 Many previous studies have also shown that the allocation of resources is mainly concentrated in urban and eastern areas with better economic development. 60 61 In terms of population, the eastern region covers a small area but is densely populated, the central region is mainly rural, while the western region is vast but sparsely populated. ...
... 60 61 In terms of population, the eastern region covers a small area but is densely populated, the central region is mainly rural, while the western region is vast but sparsely populated. 59 Where there are more people, there are more resources, because in China, the resource allocation tends to be more based on population. Therefore, we suggest that the government should consider the overall situation of population and the demand for NCD prevention and control when making the resource allocation plan for NCD prevention and control, and continue to increase the resource input to the central and western regions and rural areas. ...
Objective:
This study aims to comprehensively evaluate the resources for prevention and control of chronic and non-communicable diseases (NCDs) in China to provide a reference basis for optimising the resource allocation for prevention and control of NCDs.
Methods:
China Chronic Disease and Risk Factor Surveillance sites and National Demonstration Areas for Integrated Chronic and Non-communicable Disease Prevention and Control (NCDDA) were selected as investigation objects. In December 2021, the district (or county) resource allocation for NCD prevention and control was investigated through the NCDDA management information system. According to the index system of NCD prevention and control, 31 indicators of 6 dimensions were collected, and the weighted technique for order preference by similarity to an ideal solution, weighted rank-sum ratio and fuzzy comprehensive evaluation methods were used for comprehensive evaluation of resources for prevention and control of NCDs.
Results:
The 653 districts (or counties) in this study cover 22.96% of China's districts (or counties). The top three weights were full-time staff for NCD prevention and control (0.1066), the amount of funds for NCD prevention and control (0.0967), and the coverage rate of districts (or counties) establishing chronic obstructive pulmonary disease surveillance information system (0.0886). The comprehensive evaluation results for the resources for prevention and control of NCDs by the three methods were basically the same. The results of fuzzy comprehensive evaluation showed that the resource allocation in urban areas (0.9268) was better than that in rural areas (0.3257), the one in eastern region (0.9016) was better than that in central (0.3844) and western regions (0.3868), and the one in NCDDA (0.9625) was better than that in non-NCDDA (0.2901).
Conclusion:
The resources in China for NCD prevention and control differ among different regions, which should be taken into account in future policymaking and resource allocation.
... China has high geographic inequality in health care resources: institutions, health workers and beds [49]. The more developed, southern and eastern provinces generally have better health compared to the mountainous western and northern regions, where resources are sparse [50]. ...
Background
From 2020 to 2050, China’s population aged ≥65 years old is estimated to more than double from 172 million (12·0%) to 366 million (26·0%). Some 10 million have Alzheimer’s disease and related dementias, to approach 40 million by 2050. Critically, the population is ageing fast while China is still a middle-income country.
Methods
Using official and population-level statistics, we summarise China’s demographic and epidemiological trends relevant to ageing and health from 1970 to present, before examining key determinants of China’s improving population health in a socioecological framework. We then explore how China is responding to the care needs of its older population by carrying out a systematic review to answer the question: ‘what are the key policy challenges to China achieving an equitable nationwide long-term care system for older people?’. Databases were screened for records published between 1st June 2020 and 1st June 2022 in Mandarin Chinese or English, reflecting our focus on evidence published since introduction of China’s second long-term care insurance pilot phase in 2020.
Results
Rapid economic development and improved access to education has led to widescale internal migration. Changing fertility policies and household structures also pose considerable challenges to the traditional family care model. To deal with increasing need, China has piloted 49 alternative long-term care insurance systems. Our findings from 42 studies (n = 16 in Mandarin) highlight significant challenges in the provision of quality and quantity of care which suits the preference of users, varying eligibility for long-term care insurance and an inequitable distribution of cost burden. Key recommendations include increasing salaries to attract and retain staff, introduction of mandatory financial contributions from employees and a unified standard of disability with regular assessment. Strengthening support for family caregivers and improving smart old age care capacity can also support preferences to age at home.
Conclusions
China has yet to establish a sustainable funding mechanism, standardised eligibility criteria and a high-quality service delivery system. Its long-term care insurance pilot studies provide useful lessons for other middle-income countries facing similar challenges in terms of meeting the long-term care needs of their rapidly growing older populations.
... People characteristically persist in commuting long distances to obtain hospital services, doing so until they are inevitably hospitalized. 23 The reduction in PTE limited the improvement in TE. Government should further improve the internal management level and institutional innovation. ...
Objectives:
Evaluating the efficiency of health resource allocations is critical to improving China's rural three-level health service network.
Study design:
This was a prospective panel data study.
Methods:
Based on panel data of the medical and health resources of 31 provinces within rural China, collected from 2003 to 2020, this study uses a three-stage Data Envelopment Analysis-Malmquist index to analyze the evolution of efficiency and productivity.
Results:
The efficiency and productivity of county and county-level medical and health institutions rank highest, followed by township hospitals, whereas village clinics are shown to be in great need of improvement. A decline in technical advancement appears as a crucial factor exacerbating loss of factor productivity.
Conclusions:
Policy makers should further optimize the efficiency of medical resource allocation and promote the coordinated development of rural health in China.
... The second is regional economic development. The economic development level of the central region is much higher than that of the western region, and the higher level of economic development attracts more high-quality medical resources, such as doctors, nurses, professional care workers, etc. [63]. As a result, the scale and quality of primary medical health services in the central region are higher than those in the western region. ...
China has established a comprehensive primary medical health service system, but the development of primary medical health services in the central and western regions is still unbalanced and insufficient. Based on data from 2010 to 2019, this paper constructs a super efficiency Slack-Based Measure model to calculate the supply efficiency of primary medical health services in 20 provinces and cities in central and western China. Using Kernel density estimation and Markov chain analysis, this paper further analyzes the spatial-temporal evolution of the supply efficiency of primary medical health services in central and western China, and also predicts the future development distribution through the limiting distribution of Markov chain to provide a theoretical basis for promoting the sinking of high-quality medical resources to the primary level. The results show that firstly, during the observation period, the center of the Kernel density curve moves to the left, and the main peak value decreases continuously. The main diagonal elements of the traditional Markov transition probability matrix are 0.7872, 0.5172, 0.8353, and 0.7368 respectively, which are significantly larger than other elements. Secondly, when adjacent to low state and high state, it will develop into convergence distributions of 0.7251 and 0.8243. The supply efficiency of primary medical health services in central and western China has the characteristics of high (Ningxia) and low (Shaanxi) aggregation respectively, but the aggregation trend is weakened. Thirdly, the supply efficiency of health services has the stability of keeping its own state unchanged, but the transition of state can still occur. The long-term development of the current trend cannot break the distribution characteristics of the high and low clusters, the efficiency will show a downward trend in the next 10–20 years, and still the problem of uneven long-term development emerges.
... In 2003, rural residents' medical expenses were significantly reduced after the implementation of the New Rural Cooperative Medical System. Given that a proportion of rural residents may need to travel to the city to access necessary examinations and treatment due to the inequity of China's MHS by health resources allocation, the improvement of their health outcomes is affected [31]. Policymakers must consider the number of medical professionals in different regions when planning medical service resources allocation in urban and rural regions [32]. ...
Background
Equity and efficiency are basic value dimensions to evaluate the effectiveness of China’s medical and health service system (MHS) reform and development. Coordinated development of equity and efficiency is necessary to realize high-quality development of medical and health services. This study aims to evaluate the equity, efficiency, and combined efforts in coordinating the MHS during 1991–2020 reform.
Methods
Data on China’s MHS were obtained from the China Statistical Yearbook 1992–2021. Ratios of urban to rural residents’ medical expenditure and number of medical professionals per 10,000 people were employed to evaluate MHS’s equity. The data envelopment analysis-Malmquist model was employed to evaluate MHS’s efficiency. We constructed a combined-efforts-in-coordination model to examine the coordination degree between equity and efficiency.
Results
Equity of medical expenditure burden significantly improved from during 1991–2007. Urban residents’ 1991 medical expenditure burden was 87.8% of that of rural residents, which increased to 100.1% in 2007. Urban areas’ mean medical expenditure burden was 105.94% of that in rural areas during 1991–2007. The gap in equity of medical expenditure burden between urban and rural areas slowly widened after 2007, with urban areas’ mean burden being 68.52% of that in rural areas during 2007–2020. Medical and health resources allocation shows an alarming inequity during this period, with mean number of medical professionals per 10,000 people in urban areas being 238.30% of that in rural areas. Efficiency experienced several fluctuations before 2008. Since 2008, efficiency was high (0.915) and remained stable, except in 2020. The combined-efforts-in-coordination score for medical expenditure burden was less than 0.2 for 80% of the years, while that for in medical and health resources was more than 0.5 for 99.67% of the years.
Conclusions
MHS inequity remains between urban and rural China, primarily because of disproportionate allocation of medical and health resources. The government should enhance rural medical professionals’ salary and welfare and provide medical subsidies for rural residents to adjust resource allocation levels in urban and rural areas, control differences in medical expenditure burden between urban and rural residents to a reasonable range, and continuously improve urban and rural residents’ equity level.
... G is usually used to assess the equity of income and resource allocation, which was derived from the Lorenz curve [29,30]. G ranges from 0 to 1. "0" means the evenest distribution of medical and health resources while "1" means the most concentrated and inequitable. ...
Background
With the gradual increase of residents’ income and the continuous improvement of medical security system, people’s demand for pursuing higher quality and better medical and health services has been released. However, so far little research has been published on China's high quality medical resources (HQMR). This study aims to understand the spatiotemporal variation trend of HQMR from 2006 to 2020, analyze regional disparity of HQMR in 2020, and further explore the main factors influencing the distribution of HQMR in China.
Methods
The study selected Class III level A hospitals (the highest level medical institutions in China) to represent HQMR. Descriptive statistical methods were used to address the changes in the distribution of HQMR from 2006 to 2020. Lorentz curve, Gini coefficient (G), Theil index (T) and High-quality health resource density index (HHRDI) were used to calculate the degree of inequity. The geographical detector method was used to reveal the key factors influencing the distribution of HQMR.
Results
The total amount of HQMR in China had increased year by year, from 647 Class III level A hospitals in 2006 to 1580 in 2020. In 2020, G for HQMR by population was 0.166, while by geographic area was 0.614. T was consistent with the results for G, and intra-regional contribution rates were higher than inter-regional contribution rates. HHRDI showed that Beijing, Shanghai, and Tianjin had the highest allocated amounts of HQMR. The results of the geographical detector showed that total health costs, government health expenditure, size of resident populations, GDP, number of medical colleges had a significant impact on the spatial distribution of HQMR and the q values were 0.813, 0.781, 0.719, 0.661, 0.492 respectively. There was an interaction between the influencing factors.
Conclusions
China's total HQMR is growing rapidly but is relatively inadequate. The distribution of HQMR by population is better than by geography, and the distribution by geography is less equitable. Population size and geographical area both need to be taken into account when formulating policies, rather than simply increasing the number of HQMR.
