Objective To Study the effect of Yunnan Baiyao on the hemolysis and plasma coagulation ability of Staphylococcus aureus.ToseeknewmechanismofYunnanBaiyao′sapplicationonthebasisofanti‐virulence.Methods 0.5MCFbacterialiquidof Staphylococcus aureus standard strains(ATCC29213) were prepared and cultured in blood agar plates which containing Yunnan Baiyao of different concentrations at 37 ℃ for 24 h .Then the diameter of hemolysis rings were measured and recorded .0 .1 MCF bacteria liquids treated with Yunan Baiyao of different concentrations were prepared ,and 20μL of the bacteria liquid were added in‐to 80 μL plasma ,then cultivated at 37 ℃ for 24 h to observe the phenomenon of solidification .Results There was significant differ‐ence among the effects of Yunan Baiyao of different concentrations on the Staphylococcus aureus hemolytic rings(P<0 .05) ,and the drug concentrations inversely proportional to the diameter of hemolysis .Plasma coagulation effect of bacteria was not obvious differ‐ent after the treatment with different concentrations of Yunnan Baiyao ,and not had any regular pattern(P>0 .05) .Conclusion Yunnan baiyao can inhibit the growth of Staphylococcus aureus and its hemolytic ability but has no significant effect on plasma clot‐ting enzyme .

Objective To explore the application of Monte Carlo simulation in optimizing and adjusting the reimbursement scheme with regard to the New Rural Cooperative Medical System (NCMS)to scientific steering practice. Optimization of the reimbursement scheme in rural areas of China was also studied. Methods A multi-stage sampling household survey was conducted in Sihui county,with 4 433 rural residents from 1 179 households from 13 towns in Guangdong province surveyed by self-designed questionnaire. Probit Regression Model was applied in fitting data and then estimating the own-price elasticity and cross elasticity of healthcare demand for both outpatients and inpatients. Monte Carlo simulation model was constructed to estimate the reimbursement effects of various alternative reimbursement schemes,by replicated simulation for one thousand times and each sampling on five hundred households. In this way,optimization of the implemented reimbursement scheme in Sihui county was conducted. Results Own-priced elasticity of demands for outpatient visit,inpatient visit in the township hospital center,secondary hospital and tertiary hospital were-0.174,-0.264,-0.675 and -0.429,respectively. Outpatient demand was affected by the per-visit price of township hospital center and secondary hospital. The cross-priced elasticity of demands for outpatient visit appeared to be 0.125 and 0.150. The reimbursement effects of Scheme B7 showed that the efficiency of NCMS fund was 17.85%,the reimbursement ratio for healthcare was 25.63%,and the decreased percentages of poverty caused by illness was 18.25%,more than 9.37%, from the implemented scheme A. So the implemented scheme was in need for optimization. Conclusion Monte Carlo simulation technique was applicable to simulate the effects of the optimized alternative reimbursement scheme of NCMS and it provided a new idea and method to optimize and adjust the reimbursement scheme.

OBJECTIVETo explore the application of Monte Carlo simulation in optimizing and adjusting the reimbursement scheme with regard to the New Rural Cooperative Medical System (NCMS) to scientific steering practice. Optimization of the reimbursement scheme in rural areas of China was also studied.

METHODSA multi-stage sampling household survey was conducted in Sihui county, with 4 433 rural residents from 1 179 households from 13 towns in Guangdong province surveyed by self-designed questionnaire. Probit Regression Model was applied in fitting data and then estimating the own-price elasticity and cross elasticity of healthcare demand for both outpatients and inpatients. Monte Carlo simulation model was constructed to estimate the reimbursement effects of various alternative reimbursement schemes, by replicated simulation for one thousand times and each sampling on five hundred households. In this way, optimization of the implemented reimbursement scheme in Sihui county was conducted.

RESULTSOwn-priced elasticity of demands for outpatient visit, inpatient visit in the township hospital center, secondary hospital and tertiary hospital were -0.174, -0.264, -0.675 and -0.429, respectively. Outpatient demand was affected by the per-visit price of township hospital center and secondary hospital. The cross-priced elasticity of demands for outpatient visit appeared to be 0.125 and 0.150. The reimbursement effects of Scheme B7 showed that the efficiency of NCMS fund was 17.85% , the reimbursement ratio for healthcare was 25.63%, and the decreased percentages of poverty caused by illness was 18.25%, more than 9.37%, from the implemented scheme A. So the implemented scheme was in need for optimization.

CONCLUSIONMonte Carlo simulation technique was applicable to simulate the effects of the optimized alternative reimbursement scheme of NCMS and it provided a new idea and method to optimize and adjust the reimbursement scheme.

Adolescent ; Adult ; China ; Female ; Humans ; Insurance, Health, Reimbursement ; economics ; Male ; Middle Aged ; Monte Carlo Method ; Rural Population ; statistics & numerical data ; Young Adult