Comparative analysis for outpatient waiting time based on logistic regression model
Zhong Jianliang1, Chen Caier1, Pei Jingbo1, Cao Lijun1, Lu Youchuan2, Wang Gang3
1 The TCM Hospital of Xiaoshan District, Hanzhou 311201, China; 2 The First People′s Hospital of Xiaoshan District; 3 The Fourth People′s Hospital of Xiaoshan District
Abstract：Objective To explore the methods of comparative analysis for outpatient waiting time. Methods We collected outpatient waiting time data from the HIS system database, with the use of SPSS software established the regression model between waiting time and waiting success rate, then according to the regression model, plotted the regression curve, and on the basis of the regression model and the regression curves, combined with the conventional statistical index, average, median etc, evaluated outpatient waiting time. Results For evaluating outpatient waiting time, the regression model index was consistent with the conventional statistical index, so the regression model was effective, the evaluation was reasonable. Conclusion Both the regression model index and the conventional statistical index can evaluate outpatient waiting time. They are complementary and can confirm each other, and the evaluation results are comprehensive and intuitionistic. So it is a new method for evaluating outpatient waiting time.
钟建亮，陈彩儿，裴静波，曹立军，卢友传，王刚. 基于logistic回归模型分布下的候诊时间对比分析[J]. 中国医院统计, 2015, 22(4): 261-264.
Zhong Jianliang, Chen Caier, Pei Jingbo, Cao Lijun, Lu Youchuan, Wang Gang. Comparative analysis for outpatient waiting time based on logistic regression model. journal1, 2015, 22(4): 261-264.
