Objective To systematically review the impact of Beijing's comprehensive reform of medical consumption linkage on medical expenses, hospital services, and hospital income. Methods Databases including CNKI, WanFang Data, VIP, CBM, PubMed, and Web of Science were searched to collect empirical research on evaluating the impact of Beijing's comprehensive reform of medical consumption linkage on patient medical expenses and hospital operation (service volume and income structure) from June 15th, 2019 to August 15th, 2021. A descriptive analysis was performed after two reviewers independently screened the literature and extracted data. Results A total of 23 studies were included, and most of them found a relatively small change in the average outpatient and emergency medical expenses after the reform. However, the average inpatient expenses in some hospitals showed an increasing trend; the service volume of most hospitals increased slightly, and the income structure was optimized (e.g., surgery and other medical technology services revenue and its proportion increased). Conclusion The comprehensive reform of the medical consumption linkage in Beijing is the practice of deepening the reform of the medical service price mechanism. Based on the summary of the reform effect, it is recommended to further improve the price mechanism, improve service quality, and promote hierarchical diagnosis and treatment.
ObjectiveTo provide method references for data visualization of multiple linear regression analysis.MethodsAfter importing data to R Studio, this paper conducted general descriptive statistics analysis, then constructed a linear model between independent variables and the target. After checking independence of observations, the normality of the target, and the linearity between variables, this paper estimated coefficients of independent variables, dealt with multicollinearity, tested significance of estimates and performed residual analysis to guarantee that the regression met its assumptions, and eventually used the fitted model for prediction.ResultsThe multiple linear regression analysis implemented by R Studio software had better visualization functions and easier operation than traditional R language software.ConclusionsR Studio software has good application value in realizing multiple linear regression analysis data visualization.