Utah Poison Control Center, University of Utah, Salt Lake City, UT 84132, USA.
Clin Toxicol (Phila). 2012 Sep;50(8):781-7. doi: 10.3109/15563650.2012.713968. Epub 2012 Aug 13.
High volume surges in health care are uncommon and unpredictable events. Their impact on health system performance and capacity is difficult to study.
To identify time periods that exhibited very busy conditions at a poison control center and to determine whether cases and communication during high volume call periods are different from cases during low volume periods.
Call data from a US poison control center over twelve consecutive months was collected via a call logger and an electronic case database (Toxicall®).Variables evaluated for high call volume conditions were: (1) call duration; (2) number of cases; and (3) number of calls per staff member per 30 minute period. Statistical analyses identified peak periods as busier than 99% of all other 30 minute time periods and low volume periods as slower than 70% of all other 30 minute periods. Case and communication characteristics of high volume and low volume calls were compared using logistic regression.
A total of 65,364 incoming calls occurred over 12 months. One hundred high call volume and 4885 low call volume 30 minute periods were identified. High volume periods were more common between 1500 and 2300 hours and during the winter months. Coded verbal communication data were evaluated for 42 high volume and 296 low volume calls. The mean (standard deviation) call length of these calls during high volume and low volume periods was 3 minutes 27 seconds (1 minute 46 seconds) and 3 minutes 57 seconds (2 minutes 11 seconds), respectively. Regression analyses revealed a trend for fewer overall verbal statements and fewer staff questions during peak periods, but no other significant differences for staff-caller communication behaviors were found.
Peak activity for poison center call volume can be identified by statistical modeling. Calls during high volume periods were similar to low volume calls. Communication was more concise yet staff was able to maintain a good rapport with callers during busy call periods. This approach allows evaluation of poison exposure call characteristics and communication during high volume periods.
医疗保健中的高容量激增是罕见且不可预测的事件。它们对医疗系统性能和能力的影响难以研究。
确定毒物控制中心出现非常繁忙情况的时间段,并确定高容量呼叫期间的病例和通信是否与低容量期间的病例不同。
通过呼叫记录器和电子病例数据库(Toxicall®)收集美国毒物控制中心连续 12 个月的呼叫数据。评估高呼叫量条件的变量包括:(1)呼叫持续时间;(2)病例数;(3)每位工作人员每 30 分钟的呼叫数。统计分析确定高峰期比所有其他 30 分钟时间段的 99%都要繁忙,而低流量期比所有其他 30 分钟时间段的 70%都要缓慢。使用逻辑回归比较高流量和低流量呼叫的病例和通信特征。
在 12 个月内共发生了 65364 次来电。确定了 100 个高呼叫量和 4885 个低呼叫量的 30 分钟时间段。高流量期更常见于 1500 至 2300 小时和冬季。对 42 个高流量和 296 个低流量呼叫的编码口头通信数据进行了评估。在高流量和低流量期间,这些呼叫的平均(标准差)通话时间分别为 3 分 27 秒(1 分 46 秒)和 3 分 57 秒(2 分 11 秒)。回归分析显示,高峰期间总体口头陈述和工作人员问题较少,但未发现工作人员与呼叫者之间的沟通行为存在其他显著差异。
可以通过统计建模确定毒物中心呼叫量的高峰活动。高流量期间的呼叫与低流量呼叫相似。沟通更加简洁,但工作人员在繁忙的呼叫期间仍能与呼叫者保持良好的关系。这种方法允许评估高流量期间的毒物暴露呼叫特征和沟通。