Abstract：Unplanned readmission is closely related to medical quality, and statistical analysis of its data can provide objective support for medical management and clinical decision-making. However, clear statistical connotation and establishment of scientific and standard statistical process are the preconditions for full application of its statistical results. Based on the existing material, the present study firstly sorted out the statistical connotation of unplanned readmission within 31 days of discharge into four aspects and standardized the expressions, and proposed an adjusted statistical method for unplanned readmission rate. Then we used the international authoritative statistical analysis system (SAS 9.4 version) to divide the statistical process into five steps: data import, sorting, cleaning, screening, and statistics. And prxmatch, lag functions and proc sql process step and so on were used to write a SAS statistical program that was logically rigorous, easy to understand, and could be directly used for references. Scientific, standardized and procedural statistics help improve statistical efficiency, ensure the accuracy, precision and comparability of statistical results, and promote data mining and utilization.
王清亮，张永媛，李向一，韩辉. 非计划再住院的统计及其SAS实现[J]. 中国医院统计, 2022, 29(3): 232-236.
Wang Qingliang, Zhang Yongyuan, Li Xiangyi, Han Hui. Statistics of unplanned readmission and the application of SAS. journal1, 2022, 29(3): 232-236.
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