Trends in health resource disparities in primary health care institutions in Liaoning Province in Northeast China

Wang, Shuping; Xu, Jin; Jiang, Xiaofeng; Li, Chaofan; Li, Hongmin; Song, Suhang; Huang, Erdan; Meng, Qingyue

doi:10.1186/s12939-018-0896-8

Cited by 37 publications

(41 citation statements)

References 33 publications

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“…And Gini coefficient was developed by Corrado Gini based on Lorenz curve [10]. Both of them were widely used to determine the equally resource distribution [11][12][13]. Lorenz curve is a good approach to judge the degree of inequality in the population and geography allocation visually.…”

Section: Measuring Toolsmentioning

confidence: 99%

Equity and efficiency of health resource allocation of Chinese Medicine in mainland China: 2013 to 2017

Yang

Bian³

2020

Preprint

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Background: In this study, we aimed to measure the equity, efficiency and productivity of traditional Chinese medicine (TCM) health resource allocation and utilization in mainland China trend from 2013 to 2017. Methods: The data were download from the China Health Statistical Yearbook (2018) and the China Statistical Yearbook (2018). The equity and efficiency of TCM health resource allocation was evaluated by Lorenz curve, Gini coefficient (G) and Theil index (T) were applied to evaluate. The efficiency and productivity of TCM health resource utilization were assessed by Data Envelopment Analysis (DEA)-based Malmquist productivity index (MPI). Results: The TCM health resource had an increasing trend every year. The equity allocated by population (Gs range from 0.1 to 0.3) was better than that by geographic region (Gs more than 0.5). Ts in the intra-groups were higher than that in the inter-groups. Most provinces (29 out of 31) had negative productivity changes, which suggested a deterioration in productivity. However, the middle region with higher scale sizes had more redundant inputs. Moreover, the low technological development (all technical values lower than 1.00) might obstacle the productive progress. Conclusion: The equity of TCM health allocated by population was better than that by the geography region. The intra-regional difference was the main reasons of the sources of inequity. The equity of TCM resource allocation was middle region ＞ eastern region ＞ western region. The productivity in more than 97% provinces are inefficient. The frequency distribution of Sech ( score ＞ 1) increased since 2015. However, the frequency distribution of Techch (score ＞ 1) decreased year by year. The slow technological progress and low scale size might the major reason for the low productivity. Keywords: TCM health resource, Equity, Efficiency, Productivity

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Section: Measuring Toolsmentioning

confidence: 99%

Equity and efficiency of health resource allocation of Chinese Medicine in mainland China: 2013 to 2017

Yang

Bian³

2020

Preprint

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“…; (2) health resource disparities including the perspectives of urban and rural communities [ 14 ], specific topics such as workforce [ 15 ] (physicians [ 16 ]), facilities [ 17 ] (institutions [ 18 ]), services, etc. ; and (3) research methods on disparity or equity, for example the Theil Index [ 19 ], Gini-coefficient [ 20 ], Atkinson index [ 21 ], etc. Owing to this lack of academic concern for rehabilitation resource disparities for PDs, we propose the following research question: What are the trends, situations, disparities, and main influencing factors regarding rehabilitation resources for PDs in China?…”

Section: Introductionmentioning

confidence: 99%

Regional Disparities of Rehabilitation Resources for Persons with Disabilities in China: Data from 2014 to 2019

Jing

Tang

Sun

et al. 2020

IJERPH

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Although the United Nations’ Convention on the Rights of Persons with Disabilities enshrines the right to health for all persons with disabilities (PDs), PDs face health disparities in terms of access to rehabilitation resources, which is important for service supply. This study aimed to explore the trends and distribution of rehabilitation resources for PDs in China from 2014 to 2019, explore the main factors that influence equity, and provide suggestions for policymakers. Data were obtained from the annual China Statistical Bulletin on the Development of Disabled Persons and the database of the China Disabled Persons’ Federation. Six types of rehabilitation resources were chosen to measure the trends in allocation and equity. Data on disparities were analyzed based on western, central, and eastern regions. The Health Resource Density Index and Theil Index were calculated to determine the degree and density of unfairness. The findings show a steady increasing trend in the amount of rehabilitation resources in China from 2014 to 2019. The density and equity of allocation of rehabilitation resources have improved greatly in recent years. Regional disparities were principally caused by differences within the regions. Suggestions including expanding investment in rehabilitation resources and developing rehabilitation systems were put forward.

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“…With the increase number of institutions, beds and workforce transferring from "mother hospitals" to new hospitals, the distribution of health-care resources has become more balanced [7,8]. However, many studies examined variations in the quantity and inequality in health-resource allocation in China have noted widening urban-rural disparities in health-care resources across China [9][10][11][12][13][14], including the one conducted in Shanghai [15]. However, they have…”

Section: Introductionmentioning

confidence: 99%

Differences in Regional Distribution and Inequality in Health-Resource Allocation on Institutions, Beds, and Workforce: A Longitudinal Study in Shanghai, China

Dong

Sun

Zhang

et al. 2020

Preprint

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Background: The distribution of health-care resources is a critical component of health-care access, and equity is a basic principle of health-resource allocation, and foundational to achieving fairness in the provision of health services. China and its local Shanghai’s government has implemented measures to allocate health-care resources with the equity as one of the major goals since 2009.The aim of this study was to analyze differences in regional distribution and inequality in health-resource allocation on institutions, beds, and workforce in Shanghai over 7 years.Methods: A longitudinal survey using 2010–2016 data, which were collected for analysis. The study was conducted health-resource allocation on institutions, beds, and workforce in Shanghai, China. Five health-resource indicators were used to measure health-resource distribution at the city and district levels. Furthermore, the Theil index was calculated to measure inequality of health-resource allocation.Results: All quantities of health-care resources per 1000 people increased across Shanghai districts from 2010 to 2016. Compared with suburban districts, the central districts had higher ratios on five health-care resource indicators, and faster average growth in the bed and nurse indicator, and slower growth in the institution, technician and doctor indicator. The Theil indices of the technicians, doctors, nurses and beds had higher values than that of institutions every year from 2010 to 2016; furthermore, the Theil indices of the indicators, except for doctors in hospitals, all exhibited downward time trends.Conclusions: Increased health-care resources and reduced inequality of health-resource allocation in Shanghai during the 7 years indicated that the measures taken by the Shanghai government in the new round of healthcare reform in China since 2009 had been successful. Meanwhile there still existed regional difference between urban and rural areas and inequality between institution and workforce, especially doctors.

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Trends in health resource disparities in primary health care institutions in Liaoning Province in Northeast China

Cited by 37 publications

References 33 publications

Equity and efficiency of health resource allocation of Chinese Medicine in mainland China: 2013 to 2017

Equity and efficiency of health resource allocation of Chinese Medicine in mainland China: 2013 to 2017

Regional Disparities of Rehabilitation Resources for Persons with Disabilities in China: Data from 2014 to 2019

Differences in Regional Distribution and Inequality in Health-Resource Allocation on Institutions, Beds, and Workforce: A Longitudinal Study in Shanghai, China

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