New Rural Cooperative Medical System Average Hospitalizati On Expenses Differential Management Model Construction In A Country

ObjectiveBy the investigation of the long-term performance of New Rural CooperativeMedical Fund in Wuzhi county of Henan Province, this study was to find out themedical expenditure per patient used in hospitalization in Township Health Centers inWuzhi county and the existing problems, analyze it and then, obtain the regularity.According to the regularity, the mode of the rank difference in management ofmedical expenditure per patient used in hospitalization was constructed, which aimedto provide the technical support for reducing the total medical expenditure per patientused in hospitalization, improving the actual rate of compensation, and ensuring thesafety of the new rural cooperative medical fund.MethodsBy the methods of literature review and brainstorming, this study drew up andstrictly verified the research approach, and designed year-precedence votes. Usingvotes, the year-precedence and the medical expenditure per patient used inhospitalization were investigated, which covered24county and village medicalorganizations in Wuzhi county of Henan Province. By the methods of varianceanalysis, unitary linear recursive analysis and etc., the change rules ofyear-precedence in24county and village medical organizations in Wuzhi county ofHenan Province, the relation between the medical expenditure per patient used inhospitalization and the precedence, the relation between the medical expenditure perpatient used in hospitalization and the years of implementation were analyzed.Results1. The precedence changes of the medical expenditure per patient per year inTownship Health Centers were little, and not very remarkable. So, the influence madeby this factor could be neglected.2. The medical expenditure per patient per year in Township Health Centersrelated with the precedence remarkably, with linear distribution.For the problems exposed, the author of the model further amendments suggested: instead of ranking the comprehensive capacity assessment of each hospitalwith a comprehensive level; consider the impact of the actual compensation andillness hospitalization rates than average hospitalization costs for; improve incentivesThe statistical results between the medical expenditure per patient per year inTownship Health Centers and the precedence change rules:(taking the year of2010for example) in this case, the coefficient of determination was0.9504, the adjustingcoefficient of determination was0.9466, which showed: in the year of2010,94.66%of the factor in the medical expenditure per patient in Township Health Centers wasdetermined by the precedence.3. The statistical results between the medical expenditure per patient per year inTownship Health Centers and the years of implementation: the more the medicalexpenditure per patient per year in Township Health Centers, the longer the time, withthe linear correlation.4. The medical expenditure per patient per year in Township Health Centers=1259.5＋83.8×he years of implementation－61.3×he precedenceConclusions1By the statistic analysis of the medical expenditure per patient used inhospitalization in Township Health Centers in Wuzhi county of Henan Province, thisstudy was to build the mode of the rank difference in management of medicalexpenditure per patient used in hospitalization, and put it into operation.2. During the operation, it achieved the initial effect. But at the same time,the mode exposed some questions, such as not avoiding artificial factors, incomprehensive consideration, etc.3. Aiming the mentioned questions, this study took some measures. The mode ofthe rank difference in management of medical expenditure per patient used inhospitalization was changes as following: the medical expenditure per patient used inhospitalization in X hospital=integrated level of X hospital×level differences+theyears×level differences in years+actual compensation ratio of X hospital×leveldifferences in compensation ratio+serious illness hospitalization rates in X hospital×level differences in serious illness.