ABSTRACT
Objective To systemically evaluate the different on the incidence of cardiovascular events of platelet aggregation inhibitors ticagrelor and clopidogrel for acute coronary syndrome (ACS),so provide cardiovascular event reference for the selection ofACS platelet inhibitors.Methods Articles were collected according to the inclusion criteria from the database CNKI,Chongqing VIP,Taylor & Francis Open Access Journals,Wanfang,Cochrane Library,SinoMed,EMbase and PubMed from Jan.2000 to May 2017.Review Manager 5.3 was used for data analysis to get the odds ratio (OR) as final effect value.Publication bias of the literatures and the sensitivity of the study were also analyzed with the software.Results A total of 12 articles involving 86 849 patients were included,i.e.,8 random controlled trials,2 case control studies and 2 cohort studies.Quality assessment with Cochrane handbook for systematic reviews shows that,most studies gave low risks in 7 bias aspects.Jadad score assessment was employed in 8 random controlled trials,with 4 studies getting 3 points,3 getting 4 points and 1 getting 5 points,implying the significant quality of the included studies.Meta-analysis showed that compared with clopidogrel,significantly lower cardiovascular mortality (OR=0.80,95％CI:0.72-0.89,P＜0.01) and incidence of myocardial infarction (OR=0.78,95％CI:0.61-0.99,P＜0.05)were with ticagrelor.Conclusion Compared to clopidogrel,ticagrelor may lead to lower cardiovascular mortality and incidence of myocardial infarction in treatment of ACS.
ABSTRACT
Objective: To investigate the population distribution according to different groups of people, the potential urban residents for medical insurance scheme, and to predict the income trends of individuals and families. Methods: An urban population model was created for China's medical insurance reform by using microsimulation modeling techniques. The first step was to construct the population structure for the period of 2005-2010, and update the Census sample population of 2000 to 2005-2010 according to the target population structure. Then the updated Census dataset was statistically matched with the individual dataset of insured employees and retirees. Results: The micro-population model for urban residents was constructed. The distribution of urban population with potential to enter the medical insurance was obtained by the constructed model. In addition, the distribution of family income was also obtained. The constructed model could be used for analysis and simulation of the major illnesses in the outpatient department and treatment procedure during hospitalization of insured residents. Conclusion: The findings of this research can help the government to take full consideration of the medical service demands of residents in making relevant medical insurance policies, so as to facilitate the sustainable development of medical insurance policies.
ABSTRACT
Objective: To predict the medical expenses and distribution of different medical payments of urban residents in Kunming, who are covered by the medical insurance scheme. Methods: We created a static micro-simulation model for predicting and evaluating the 2008-2010 medical insurance scheme for urban residents of Kunming. The main datasets used for constructing the model included: a 0.1% population sample dataset from the national census of 2000 and a dataset of urban employees and retirees under the social medical insurance scheme. Other data used in the model involved the aggregated results of 1% population survey of Kunming conducted in 2005. Results: Based on the population model of 2005, the population information and the data of employees and retirees covered by the social medical insurance scheme were integrated. The model provided information on resident incomes, medical expenses, medical expenses of outpatient services and severe illness; and the different kinds of payments could be forecasted by the model. Conclusion: Results of the present research can help the government in making relevant heath policies while ensuring the sustainable development of medical insurance scheme.