间断时间序列分析在我国卫生政策评估中的应用进展OA

Objective To summarize the application progress and development trend of interrupted time series analysis in health policy assessment in China.Methods Relevant literatures in PubMed,Web of science and CNKI were retrieved respectively,and the method of systematic review was adapted for analysis.Besides,PRISMA criteria was followed to screen literatures in this study.Results A total of 89 literatures were included for research.After numerous analyses,we found that interrupted time series analysis was mainly used to assess new medical reform policies in China.And single-group interrupted time series analysis and segmented regression model were the main models being used in these researches.In addition,there was also the evidence showing that proportion of drugs and hospitalization expenses were the main outcome variables.Researchers often used Durbin-Watson test to detect the autocorrelation in their studies.Conclusion Interrupted time series analysis being used in studies shows a trend of the diversification of health policy,and it also shows that outcome variables are widely used in multi-type health policy assessment in China.However,some research designs still have deficiencies.