Dataset Information

Study on Equity and Efficiency of Health Resources and Services Based on Key Indicators in China.

ABSTRACT: 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) was used to evaluate the inefficiency of resource allocation and service utilization. Factor Analysis (FA) was used to determine input/output indicators. RESULTS:The CI of Health Institutions, Beds in Health Institutions, Health Professionals and Outpatient Visits were -0.116, -0.012, 0.038, and 0.111, respectively. Gini coefficient for the 31 provinces varied between 0.05 and 0.43; out of these 23 (742%) were observed to be technically efficient constituting the "best practice frontier". The other 8 (25.8%) provinces were technically inefficient. CONCLUSIONS:Health professionals and outpatient services are focused on higher income levels, while the Health Institutions and Beds in Health Institutions were concentrated on lower income levels. In China, a few provinces attained a basic balance in both equity and efficiency in terms of current health resource and service utilization, thus serving as a reference standard for other provinces.

SUBMITTER: Zhang X

PROVIDER: S-EPMC4683010 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Study on Equity and Efficiency of Health Resources and Services Based on Key Indicators in China.

Zhang Xinyu X Zhao Lin L Cui Zhuang Z Wang Yaogang Y

PloS one 20151217 12

<h4>Background</h4>This study aims to evaluate the dialectical relationship between equity and efficiency of health resource allocation and health service utilization in China.<h4>Methods</h4>We analyzed the inequity of health resource allocation and health service utilization based on concentration index (CI) and Gini coefficient. Data envelopment analysis (DEA) was used to evaluate the inefficiency of resource allocation and service utilization. Factor Analysis (FA) was used to determine input ...[more]

PMID: 26679187

Similar Datasets

Project description:BackgroundJiangsu was one of the first four pilot provinces to engage in comprehensive health care reform in China, which has been on-going for the past 5 years. This study aims to evaluate the equity, efficiency and productivity of health care resource allocation in Jiangsu Province using the most recent data, analyse the causes of deficiencies, and discuss measures to solve these problems.MethodsData were extracted from the Jiangsu Health/Family Planning Statistical Yearbook (2015-2019) and Jiangsu Statistical Yearbook (2015-2019). The Gini coefficient (G), Theil index (T) and health resource density index (HRDI) were chosen to study the fairness of health resource allocation in Jiangsu Province. Data envelopment analysis (DEA) and the Malmquist productivity index (MPI) were used to analyse the efficiency and productivity of this allocation.ResultsFrom 2014 to 2018, the total amount of health resources in Jiangsu Province increased. The G of primary resource allocation by population remained below 0.15, and that by geographical area was between 0.14 and 0.28; additionally, the G of health financial resources was below 0.26, and that by geographical area was above 0.39. T was consistent with the results for G and Lorenz curves. The HRDI shows that the allocated amounts of health care resources were the highest in southern Jiangsu, except for the number of health institutions. The average value of TE was above 0.93, and the DEA results were invalid for only two cities. From 2014 to 2018, the mean TFPC in Jiangsu was less than 1, and the values exceeded 1 for only five cities.ConclusionThe equity of basic medical resources was better than that of financial resources, and the equity of geographical allocation was better than that of population allocation. The overall efficiency of health care resource allocation was high; however, the total factor productivity of the whole province has declined due to technological regression. Jiangsu Province needs to further optimize the allocation and increase the utilization efficiency of health care resources.

Project description:BackgroundThe target date for achieving the Millennium Development Goals (MDGs) is now closer than ever. There is lack of sufficient progress in achieving the MDG targets in many low- and middle-income countries. Furthermore, there has also been concerns about wide spread inequity among those that are on track to achieve the health-related MDGs. Bangladesh has made a notable progress towards achieving the MDG 5 targets. It is, however, important to assess if this is an inclusive and equitable progress, as inequitable progress may not lead to sustainable health outcomes. The objective of this study is to assess the magnitude of inequities in reproductive and maternal health services in Bangladesh and propose relevant recommendations for decision making.MethodsThe 2007 Bangladesh demographic and health survey data is analyzed for inequities in selected maternal and reproductive health interventions using the slope and relative indices of inequality.ResultsThe analysis indicates that there are significant wealth-related inequalities favouring the wealthiest of society in many of the indicators considered. Antenatal care (at least 4 visits), antenatal care by trained providers such as doctors and nurses, content of antenatal care, skilled birth attendance, delivery in health facility and delivery by caesarean section all manifest inequities against the least wealthy. There are no wealth-related inequalities in the use of modern contraception. In contrast, less desired interventions such as delivery by untrained providers and home delivery show wealth-related inequalities in favour of the poor.ConclusionsFor an inclusive and sustainable improvement in maternal and reproductive health outcomes and achievement of MDG 5 targets, it essential to address inequities in maternal and reproductive health interventions. Under the government's stewardship, all stakeholders should accord priority to tackling wealth-related inequalities in maternal and reproductive health services by implementing equity-promoting measures both within and outside the health sector.

Project description:ObjectivesThe two-child policy took effect in China on 1 January 2016, thus officially ending the one-child policy. The resultant growth in the population will create a considerable demand for public services such as paediatric healthcare, even while there are limited paediatric resources. We estimated the relationship between paediatric health resources and services and child mortality to determine the degree of the deficiency of such resources in China. Projecting the quantity of paediatric health resource allocation and service supply through 2030 will help provide data reference for future policy decision making.DesignTime-series study.SettingThe People's Republic of China.ParticipantsPaediatric patients whose data were recorded between 2003 and 2012 from the National Health and Family Planning Commission of the People's Republic of China.Primary and secondary outcome measuresChild mortality and paediatric health resources and services data were entered into a cubic polynomial regression model to project paediatric health resources and services to 2030.ResultsChild mortality decreased throughout the past decade. Furthermore, the number of paediatric beds, paediatricians and nurses increased between 2003 and 2012, although the proportions increased rather slowly. Both the number and proportion of paediatric outpatients and inpatients increased rapidly. The observed and model-predicted values matched well (adjusted R2=93.8% for paediatric beds; adjusted R2=96.6% for paediatric outpatient visits). Overall, the projection indicated that paediatric beds, paediatricians and nurses will reach 460 148, 233 884 and 184 059 by 2030, respectively. Regarding paediatric services, the number of paediatric outpatient visits and inpatients is expected to reach upwards of 449.95 million and 21.83 million by 2030, respectively.ConclusionsDespite implementation of the two-child policy, resource allocation in paediatrics has many deficiencies. Proper measures should be taken to actively respond to the demand for paediatric health services.

Dataset Information

Study on Equity and Efficiency of Health Resources and Services Based on Key Indicators in China.

Publications

Study on Equity and Efficiency of Health Resources and Services Based on Key Indicators in China.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets