Nielsen Rasmus F, Pérez Noel, Petersen Poul, Biering Karin
Department of Emergency Medicine, Regional Hospital West Jutland, Herning, Denmark.
BMC Res Notes. 2014 Oct 6;7:690. doi: 10.1186/1756-0500-7-690.
The purpose of this study was to assess and describe the patient inflow during a 1-month period in a Danish emergency department and to evaluate if the intended times to treatment (TTT) related to category of triage were met.
Data from electronic emergency screen boards were extracted from the 1st to the 30th of April 2013. 2000 patients were enrolled of which 1011 were eligible for inclusion in the study of TTT. Patient inflow was described according to hours of the day and days of the week. Patients were divided into groups of triage and TTT was assessed in the different groups. Adjusted odds ratios of not being seen on time were calculated between triage groups and time of the day/week.
The pattern of inflow differed between weekdays and weekends. On weekdays it peaked around midday and on weekends it peaked during the late afternoon/evening. The distributions of the different triage categories between days were similar. Monday had the most patient contacts while Saturday showed the least. Category II (orange) patients were the most prone to exceed the intended TTT. The risk of not being seen on time when compared to daytime, was on evenings OR 2.3 [1.1;4.9] and on nights OR 2.0 [1.2;3.9]. On weekends the odds ratio was OR 1.9 [0.8;4.7] compared to weekdays.
The results demonstrated varying patterns of patient inflow between weekdays and weekends. There was a significantly increased risk of being attended late when arriving on evenings and nights. Likewise higher acuity was associated with exceeded TTT.
本研究的目的是评估和描述丹麦一家急诊科在1个月期间的患者流量，并评估与分诊类别相关的预期治疗时间（TTT）是否得到满足。
从2013年4月1日至30日的电子急诊筛查板中提取数据。纳入2000例患者，其中1011例符合TTT研究的纳入标准。根据一天中的小时数和一周中的日期描述患者流量。将患者分为分诊组，并评估不同组中的TTT。计算分诊组与一天中的时间/一周中的日期之间未按时就诊的调整比值比。
工作日和周末的流量模式不同。工作日流量在中午左右达到峰值，周末在下午晚些时候/晚上达到峰值。不同分诊类别在各天之间的分布相似。周一的患者接触量最多，周六最少。II类（橙色）患者最容易超过预期的TTT。与白天相比，晚上未按时就诊的风险为OR 2.3 [1.1;4.9]，夜间为OR 2.0 [1.2;3.9]。与工作日相比，周末的比值比为OR 1.9 [0.8;4.7]。
结果表明工作日和周末的患者流量模式不同。晚上和夜间到达时就诊延迟的风险显著增加。同样，更高的病情严重程度与超过TTT相关。
