ObjectiveTo investigate the demand of pediatric health service, the current situation of resource allocation and the equity of health service, so as to provide guidelines for optimizing the resource allocation of pediatric health service in Sichuan province.MethodsA questionnaire of all healthcare institutions with legal capability from a total of 183 prefectures in Sichuan province was performed in 2015. We described the demand of pediatric health service by two-week hospital visit rate, the proportion of no-visit rate within two-weeks, hospital admission rate, and the patient required hospitalization rate. We assessed current situation of resource allocation, equity and accessibility by analyzing Gini coefficient, Lorenz curve and thermodynamic diagram.ResultsThe demand of pediatric health service in Sichuan province was huge and the current resource allocation can be shown a " inverted triangle” form. According to population distribution, the Gini coefficients of physician, bed and equipment were 0.47, 0.40 and 0.49, respectively, which represented inequality in resource allocation. By location, the Gini coefficients of physician, bed and equipment were 0.82, 0.77 and 0.81, respectively, which indicated an absolutely unfair situation.ConclusionsThe health resources of pediatric in Sichuan province are limited, the distribution is unbalanced, and the supply of pediatric healthcare is not compatible with demand. The lack of resources and waste coexist simultaneously. Furthermore, the fairness of distribution in terms of geographical areas is far less than that in terms of population. The accessibility of superior health resources is low.
ObjectivesTo analyze the balance of medical human resource allocation in Chengdu and to discuss the impact of human resource allocation structure on the hospital’s medical service capabilities, so as to provide a theoretical basis for the hospital to optimize the talent team structure.MethodsThe Moran’s index and Gini coefficient were used to evaluate the spatial aggregation and grade distribution difference of human resources allocation, respectively. The case mix index (CMI), the length of hospital stay, and the difficulty of surgery were used as outcome variables, and a multiple regression analysis model was established to explore the impact of human resource indicators on the hospital’s medical service capabilities.ResultsThe distribution of doctors showed an obvious spatial aggregation in Chengdu, and there was a positive spatial correlation (Moran’s Idoctor=0.290); the distribution of nurses had no obvious spatial aggregation (Moran’s Inurse=0.102). Under different medical service capacity segments, the Gini coefficient of doctors was 0.518, and the Gini coefficient of nurses was 0.576, both exceeding 0.5, indicating that the distribution of medical human resources in different levels of hospitals was considerably different. The regression results showed that the expansion of the quantity of senior title doctors and the proportion of medical care both could improve the hospital’s CMI. The increase in the quantity of doctors with senior titles also had a certain impact on improving the hospital’s surgical capabilities. The expansion of the proportion of medical care could lead to a slight increase in the length of patients' hospital stay.ConclusionsOptimizing the allocation structure of medical human resources in different regions and hospitals with different levels is an important task in the construction of a hierarchical diagnosis and treatment system. It is necessary to further integrate medical human resources throughout the whole city and strengthen personnel training and team building in primary health institutions. Hospitals at different levels should implement their own development positioning and further optimize their human resource allocation structure according to development needs. Tertiary hospitals should pay more attention to the cultivation of senior professional doctors, optimize the proportion of medical care, and improve the hospital’s medical service capabilities. The primary health institutions should pay attention to the comprehensive construction of medical personnel, and strengthen the development of the team of general practitioners, so as to achieve a comprehensive improvement of the city’s medical service capabilities.
ObjectivesTo evaluate the fairness of medical resource allocation in the five provinces in Northwest China from 2006 to 2017 so as to provide scientific basis for the optimal allocation of medical resources in Northwest China.MethodsThe Gini coefficient and Theil index were adopted to evaluate the fairness of medical resource allocation from the two dimensions of population and geography.ResultsThe Gini coefficient was above 0.4 in terms of population allocation and geographical distribution in the five provinces in Northwest China from 2006 to 2011, which indicated the medical resources were unbalanced in the five provinces. The Gini coefficient had gradually declined from 0.4 from 2012 to 2017, which indicated the equity of medical resource allocation in the five provinces in Northwest China had gradually become reasonable. The total Thiel index of medical resources in the five northwest provinces in Northwest China from 2006 to 2017 ranged from 0.0829 to 0.187 4. Equity of medical resource allocation: allocation by population was superior to that by geography.ConclusionsIt is necessary to optimize the structure of human medical resources in the five northwest provinces, promote the coordinated development of medical human resources allocation, and narrow the gap of medical resources among the five provinces in Northwest China.