This study aimed to develop the calculation method of pre-hospital emergency physician allocation gap and apply it to Shanghai.In order to reduce the ambulance dispatch lag frequency, through the analysis of its da-ta in the Shanghai urban area, the research group obtained the gap and extended the data to Shanghai city.The peak method establishes the association between pre-hospital emergency physician increment and the ambulance dispatch lag decrement.Based on descriptive statistics, the peak method by which the Shanghai ambulance dispatch lag data were analyzed uses the SAS programming software.This method of using programming software provides it with good reliability and validity.After an increase of 40 duty vehicles (381 pre-hospital emergency physicians), the ambu-lance dispatch lag ratio would drop from 25.61 percent to 0.22.Therefore, the association between the pre-hospital emergency physician increment and the ambulance dispatch lag decrement was established and can provide a scientif-ic evidence for the policy formulation.

Objective:The research aimed to figure out the geographic availability of the residence in the aspect of receiving health service thereby studying the spatial distribution regulation and the distance attenuation coefficient of the inpatients.It also provides the decision-making basis for the regional health planning.Methods: Select 23 medical institutions and randomly pick up patients from each of them, calculate the distance between the inpatients home and the medical institutions, then simulate the corresponding probability patients using the Geographical Infor-mation System ( GIS) .Perform a variety of curve fitting models according to the determination and simulation graph-ics coefficient choosing the most appropriate model, and draw corresponding the distance attenuation coefficient.Re-sults:An exponential curve model is better than power curve model for the secondary medical institutions inpatients distribution and contrarily for those in the tertiary medical institutions.The mean distance attenuation coefficient was 0.51 for exponential curve model of secondary comprehensive medical institutions inpatients and its average was 0.50 for the secondary specialist medical institutions inpatients.The mean distance attenuation coefficient was 0.84 for the power curve model of the tertiary comprehensive medical institutions inpatient and its average was 0.53 for tertiary specialist medical institutions inpatients.Conclusion: The secondary medical institutions inpatient probable attenua-tion trends with distance are faster than in tertiary medical institutions, those for the comprehensive medical institu-tions inpatient are faster than in the specialist medical institutions.In the regional health planning, for different lev-els, categories of medical institutions should adopt different distance attenuation coefficients to calculate the health re-sources level.

Objective:The paper aims at developing a method of defining and visualizing the scope of the basic medical insurance pharmacy service, and provides a new way of thinking for the designated pharmacy planning. Methods:Collecting the basic data and information on administrative divisions in the planning area taking equity and efficiency as the guidance, using ArcGIS and its function modules to define and visualize the scope of the medical in-surance pharmacy service. The procedure of issue focus, method improvement, data simulation, expert consultation, methodology perfecting were followed to define and visualize the scope. Results:Forming a whole set of operative pro-cedures of defining and visualizing the scope of the medical insurance pharmacy service based on medical resources allocation standard, and the operation commands and procedures in ArcGIS were clarified. Conclusion:Operating ac-cording to the appropriate method steps, the following can be achieved:(1) The adjacent scope of medical insurance pharmacy service are adjacent to each other but do not overlap or cross;(2) Spatial relations can be clearly and ef-fectively expressed;(3) The shape is flat and regular;(4) The data collected at different times can be comparable in space, providing good prerequisites for medical insurance designated pharmacy planning.

OBJECTIVE:To explore losses and gains (L&G) and L&G ratio induced by Essential Medicine System in a county. METHODS:By choosing a county in western China as sample area,field investigation was used to collect outpatient and inpatient visits,outpatient and inpatient income,drug income,total length of stay and medical insurance reimbursement criteria in primary medical institutions (township health centers,village health rooms) of the county during 2009-2015. By setting the year 2009 as the baseline year,the drug cost reimbursed by medical insurance was simulated and calculated when Essential Medicine System were not implemented;L&G and L&G ratio of medical insurance were calculated by comparing with actual drug cost reimbursed by medical insurance. RESULTS:The year 2012,in which the sample county fully implemented the Essential Medicine System was the turning year. Medical insurance funds lost in primary medical institutions of the county during 2010-2011(lost 437000,915000 yuan,respectively),but gained during 2012 to 2015(gained 199000,494000,858000,1290000 yuan, respectively);the L&G ratio increased from -0.67％ to 1.21％. For reimbursed outpatient drug cost and inpatient cost,L&G of medical insurance were different. For reimbursed drug cost of village health room and township health center,L&G of medical insurance were also different. CONCLUSIONS:The implementation of Essential Medicine System benefits to medical insurance within the county and Medical insurance funds can be saved.