急诊内科患者流量与时段分布相关性分析

Time distribution of emergency internal medicine outpatient visits

目的探讨急诊内科患者与时段分布的相关性,为急诊医护人员的合理配置提供参考依据。方法通过HIS信息系统收集2013年10月1日—2016年9月30日急诊内科就诊患者,应用SPSS 20.0统计软件,采用描述性的统计方法及χ~2检验对患者的就诊时段、星期、月进行分析,找出高流量和低流量时间段。结果每日存在着2个就诊高峰,第一就诊高峰7:00—10:00,年平均就诊10 348人次(21.9%);第二就诊高峰16:00—20:00,年平均就诊15 104人次(31.9%)。患者就诊量不存在星期波动,但存在月份波动,有2个高峰,12月和1月就诊量最多,分别占总体的9.8%和10.5%,最低月份为10月(6.6%)。结论急诊内科患者就诊量不存在明显星期波动,但日就诊量和月就诊量分别存在两个高峰,与辽宁本地的气候特点有一定的相关性。

Objective To examine the time distribution of emergency internal medicine outpatient visits and to provide references for reasonable allocation of emergency department persormel. Methods We collected the data on attendees of in- ternal medicine outpatient department in a general hospital from October lst,2013 to September 30st,2016 though hospi- tal information system （HIS）. Descriptive statistical methods and X2 test were used to analyze the hourly, weekly, and monthly distribution of outpatient visits with SPSS 20.0. Results There were two peak hour periods for daily emergency internal medicine outpatient visits; the first peak hour period was between 7：00 - 10.00 ante meridiem, with the mean annual visits number of 10 348 （21.9% of total mean annual visits） and the second was between 16 ： 00 - 20 ： 00 post meridiem, with the mean annual visits of 15 104 （31.9% ）. No weekly fluctuation in emergency internal medicine outpa- tient visits was observed. There were two monthly peaks for emergency internal medicine outpatient visits; the first peak was in December （9. 8% of total annual visits） and the second was in January （10. 5% ） ; the lowest number of emer- gency internal medicine outpatient visits was observed in October （6. 6% ）. Monthly average minimum air pressure, monthly mean minimum temperature, and monthly mean relative humidity were negatively correlated with emergency in- ternal medicine outpatient visits. Conclusion There is no obvious weekly fluctuation in emergency internal medicine outpatient visits but there are two peak periods for daily and monthly distribution of emergency internal medicine outpa- tient visits, which associate with local climate characteristics to some extent.