Investigation and analysis on nuclear medicine resources and application in Jiangsu province in 2020 / 中华放射医学与防护杂志

Objective:To investigate the basic situation of clinical nuclear medicine resources and their application in medical institutions of Jiangsu province, in order to grasp their distribution characteristics and make an evaluation briefly on distribution eaquity of nuclear medicine resources and application.Methods:In the form of online questionnaire, the basic information in the medical institutions conducting clinical nuclear medicine diagnosis and treatment in the provice was collected, including the number and model of nuclear medicine equipment, the number of protection devices, the number of nuclear medicine employees and the application frequency of nuclear medicine.Results:In 2020 in Jiangsu province, there were 67 nuclear medicine institutions, 727 employees and 95 nuclear medicine tomography equipment including 38 positron emission tomography (PET) equipment and 54 single photon emission computed tomography (SPECT) equipment. The frequencies of imaging and treatment in the medical institutions were 259, 686 and 12 186, with average frequency of 3.21 expressed per 1 000 population. The Gini coefficients of nuclear medicine equipment, employees and application based on population distribution in Jangsu province were 0.25, 0.30 and 0.34, respectively. The related Theil indices were 0.044 9, 0.062 6 and 0.085 2, respectively.Conclusions:The nuclear medicine developed quickly in Jiangsu province in the past ten years. The distribution of all kinds of nuclear medicine resources and application on the basis of continuous increase showed a certain degree of imbalance, and correlation with the level of regional economic development.

Equity of resource allocation in ophthalmology departments of medical institutions in Shenzhen City / 预防医学

Objective @#To investigate equity of resource allocation in ophthalmology departments of medical institutions in Shenzhen City, so as to provide insights into the optimization of resource allocation in ophthalmology departments in Shenzhen City.@* Methods @#The numbers of beds and ophthalmologists in ophthalmology departments of medical institutions in Shenzhen City were collected through the Shenzhen Health Statistical Yearbook 2019. The distribution of resources and equity of resource allocation were evaluated in ophthalmology departments of Shenzhen City using Lorenz curve and Gini coefficient.@* Results @#There were 5.95 beds and 4.62 ophthalmologists in ophthalmology departments per 100 000 permanent residents in Shenzhen City in 2019. There were 13.35 beds and 9.51 ophthalmologists in ophthalmology departments per 100 000 permanent residents within the former special zone (Luohu, Futian, Nanshan and Yantian districts), and 2.17 beds and 2.13 ophthalmologists in ophthalmology departments per 100 000 permanent residents outside the former special zone (Guangming, Baoan, Longhua, Longgang, Pingshan districts and Dapeng New Area). The Gini coefficients of beds and ophthalmologists in ophthalmology departments were 0.348 and 0.243 by permanent residents in Shenzhen City, 0.386 and 0.386 within the former special zone and 0.086 and 0.012 outside the former special zone, respectively. The Lorenz curves of beds and ophthalmologists in ophthalmology departments were closer to the equity line outside the former special zone in relative to within the former special zone. @* Conclusion@#The gross number of beds and ophthalmologists remains to be increased in ophthalmology departments of medical institutions in Shenzhen City, and the equity of regional resource allocation is poor, which is mainly characterized by resource scarcity in ophthalmology departments outside the former special zone.

Analysis of the equity of health human resource allocation for echinococcosis control based on Gini index / 中国血吸虫病防治杂志

OBJECTIVE@#To analyze the current status and evaluate the equity of health human resource allocation for echinococcosis control in Ganzi Tibetan Autonomous Prefecture, Sichuan Province, so as to provide the empirical evidence for optimizing the health human resource allocation for echinococcosis control.@*METHODS@#A questionnaire survey was performed to collect the numbers of health human sources for echinococcosis control, including health workers, healthcare professionals, certified/assistant physicians and registered nurses, per 1 000 permanent residents, per 1 000 m2, per 1 000 residents screened using Bmode ultrasonography and per 1 000 echinococcosis patients in two highly endemic counties and three lowly endemic counties in Ganzi Tibetan Autonomous Prefecture, Sichuan Province from 2016 to 2019. The equity of health human resource allocation for echinococcosis control was evaluated by permanent residents and geographical areas using Lorenz curve and Gini index in Ganzi Tibetan Autonomous Prefecture from 2016 to 2019.@*RESULTS@#The numbers of health workers, healthcare professionals, certified/assistant physicians and registered nurses per 1 000 permanent residents, per 1 000 permanent residents, per 1 000 m2, per 1 000 residents screened using B-mode ultrasonography and per 1 000 echinococcosis patients were 0.99-, 1.06-, 1.78- and 1.88-fold; 3.38-, 3.67-, 6.00- and 6.00-fold; 1.64-, 1.74-, 3.22- and 3.18-fold; and 64.92-, 70.39-, 139.34- and 117.44-fold more in lowly endemic counties than in highly endemic countries in Ganzi Tibetan Autonomous Prefecture, Sichuan Province, 2019. The Gini indexes of health human resource allocation for echinococcosis control were 0.371 to 0.397 by permanent residents and 0.477 to 0.591 by geographical areas in Ganzi Tibetan Autonomous Prefecture from 2016 to 2019, and the Gini indexes (0.469 to 0.730) for allocation of certified/assistant physicians and registered nurses were both higher than those of health workers and healthcare professionals (0.302 to 0.451) by both permanent residents and geographical areas.@*CONCLUSIONS@#The health human resource allocation for echinococcosis control showed general equity by permanent residents and poor equity by geographical areas in Ganzi Tibetan Autonomous Prefecture, Sichuan Province from 2016 to 2019.

Study on the equity of resource allocation for health education in China from 2015-2019 based on Gini coefficient and Lorenz curve / 公共卫生与预防医学

Objective Health education resource allocation is one of the basic indicators for evaluating health equity. At present, the research on the equity of health education resource allocation in China is mostly limited to a single year or regional data. This study was aimed to understand the equity of health education resources in the whole China from 2015-2019, and to provide a corresponding basis for further rational allocation of health education resources. Methods The data was obtained based on the number of health education training work, health education publicity work, distribution of health education publicity materials and the annual use of funds carried out mainly by the CDC or health education centers in each province according to the 2016-2020 China Health Statistics Yearbook. The inequality coefficient (Gini coefficient) and Lorenz curve were applied to study the selected data. Results The total number of health education resources in China from 2015-2019 was 1 789 735 and 1 933 336, respectively. The Gini coefficients of health education resource allocation by population distribution were all below the warning line of 0.4, which were in an equitable state. Conclusion The equity of health education resources in China is good according to demographic indicators, and there is no significant inequity. Especially, the aspects of health education services, such as technical consultation and media cooperation, are relatively good, but there is still much room for improvement in the construction of websites.

Fairness of blood bank resources allocation in China / 中国输血杂志

【Objective】 To study the fairness of blood bank resources allocation in China, aimed at providing references for reasonable allocation of blood bank resources. 【Methods】 A questionnaire survey was conducted among 32 provincial blood centers and 321 regional central blood banks across China in August 1~25, 2018. Resource allocation of blood banks in China was analyzed using descriptive methods, and the fairness of resource allocation were analyzed using Lorenz curve, Gini coefficient and Theil index. 【Results】 Blood bank resources and services showed an overall upward trend from 2013 to 2017. The fairness of institutional coverage was optimal in 2017 according to the Lorenz curve and Gini coefficient, suggesting the allocation of blood bank resources according to the population was better than geographic area. The fairness of health technicians staffing was the worst from the perspective of geographic area. The total Theil index was 0.448 5~0.526 7, and the differences was contributed more by intra group comparison than that of inter group. 【Conclusion】 The unbalanced development underlying in the provincial and regional blood centers has been observed, and the service capacity needs to be further improved. The resource allocation varies greatly among regions, and it is recommended to optimize the regional planning of blood bank resources.

The changing distribution of malaria in the Brazilian Amazon, 2003-2004 and 2008-2009

Introduction More than half of the malaria cases reported in the Americas are from the Brazilian Amazon region. While malaria is considered endemic in this region, its geographical distribution is extremely heterogeneous. Therefore, it is important to investigate the distribution of malaria and to determine regions whereby action might be necessary. Methods Changes in malaria indicators in all municipalities of the Brazilian Amazon between 2003-2004 and 2008-2009 were studied. The malaria indicators included the absolute number of malaria cases and deaths, the bi-annual parasite incidence (BPI), BPI ratios and differences, a Lorenz curve and Gini coefficients. Results During the study period, mortality from malaria remained low (0.02% deaths/case), the percent of municipalities that became malaria-free increased from 15.6% to 31.7%, and the Gini coefficient increased from 82% to 87%. In 2003, 10% of the municipalities with the highest BPI accumulated 67% of all malaria cases, compared with 2009, when 10% of the municipalities (with the highest BPI) had 80% of the malaria cases. Conclusions This study described an overall decrease in malaria transmission in the Brazilian Amazon region. As expected, an increased heterogeneity of malaria indicators was found, which reinforces the notion that a single ...

Trends in oral health inequality in 12-year-old Korean children: A study using the Gini coefficient / 대한구강보건학회지

OBJECTIVES: This study was conducted to analyze the current state and tendency of oral health inequality in 12-year-old Korean children by calculating the Gini coefficient from decayed, missing, or filled teeth (DMFT) data. METHODS: Ten-year trends were empirically estimated by calculating the Gini coefficient from the Lorenz curve plotted based on the DMFT data of 12-year-old children, obtained from the Korean National Oral Health Survey from 2000 to 2010. RESULTS: While the oral health improved in general, oral health inequalities increased with the decrease in the number of DMFT each year, and the DMFT-based Gini coefficient increased from 0.53 in 2000 to 0.61 in 2010. The increase in the number of decayed and missing teeth was strongly affected by the increase in oral health inequality. CONCLUSIONS: To resolve Korea's continually increasing oral health inequality, it is necessary to establish support measures for vulnerable populations and to develop and manage a surveillance system for continuous monitoring of oral health inequality in the future.

Analysis of medical resources allocation in four municipalities and equity evaluation / 中华医院管理杂志

Objective To offer decision support for reasonable allocation of medical resources by analysis of the present resources allocated.Methods Lorenz curve and Gini coefficient method were called into play.This paper studied such medical resources as the practicing doctors,registered nurses,medical institutions and hospital beds,from both the population distribution and geographical distribution aspects.The purpose is to compare the allocation in these municipalities (Beijing,Tianjin,Shanghai and Chongqing).Results If the Lorenz curve is drawn based on the total population served with such resources,the Gini coefficients indieate relatively balanced allocation of medical institutions,practicing physicians,and registered nurses in the municipalities,and highly balanced allocation of hospital beds.If the curve is drawn based on geographical distribution,the Gini Coefficient indicates relatively balanced allocation of medical institutions allocation in these municipalities,yet considerable difference in the allocation of practicing physicians,registered nurses,and hospital beds.Conclusion The study shows that medical resources allocation in China in these municipalities mirrors the condition of Priority to population density,and neglect of geographical distribution.It also reveals poor equity in the geographical distribution of medical resources,which plagues accessibility of medical resources.

Shanghai Medical Resource Allocation Analysis / 中国卫生统计

Objective Through investigating the situation of health care resources in Shanghai ,from the point of population and geographical area distribution, the article analyze the fair allocation of medical resources in Shanghai to provide the basis of decision-making in rational allocation of medical resources. Methods Use Lorenz curve and the Gini coefficient indicators, as well as Chain Proportion Method. Results The allocation of medical resources in population of Shanghai is fairly,and the trend of fairness will be enhanced. In the geographical allocation in space is more unfairness in Shanghai,and the fairness will be reduced. Conclusion The allocation of medical resources Municipal Population has few gap between urban and rural areas in the Shanghai which reached a fair comparison, but in the geographic distribution of has a larger gap between urban and rural areas. Most of the medical resources concentrated in large hospitals in the urban centers. The distribution of Medical resources should be rational and the health service system should be improved to improve medical and health service accessibility.