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谁在急诊科等待时间最长,谁未就诊就离开?

Who waits longest in the emergency department and who leaves without being seen?

作者信息

Goodacre S, Webster A

机构信息

Emergency Department, Northern General Hospital, Sheffield, UK.

出版信息

Emerg Med J. 2005 Feb;22(2):93-6. doi: 10.1136/emj.2003.007690.

Abstract

OBJECTIVES

To determine which patient characteristics are associated with prolonged waiting times in the emergency department and which characteristics are associated with an increased risk of leaving without being seen.

METHODS

Multivariate analysis of routine data collected at the Northern General Hospital, Sheffield between 1 January and 31 December 2001. Patient age, sex, triage priority, postcode, initiator of attendance, mode of arrival, time, day, and month of presentation were examined as potential predictors of waiting time and risk of leaving without being seen.

RESULTS

Waiting time data for 71,331 patients were analysed, along with a further 5512 patients who left without being seen. Older patients and those with lower triage priority had longer waiting times, while ambulance borne patients had slightly shorter waiting times. Sex, source of referral, and postcode did not predict waiting times. The most powerful predictors of waiting time related to time of presentation, with longer waits being associated with presentation at night, on Mondays or Sundays, and during autumn months. Patients who left without being seen were more likely to be younger, male, lower triage priority, non-ambulance borne, self referred, and presenting at the times when waiting times were longest.

CONCLUSION

Time of presentation, rather than individual patient characteristics, seem to be the most powerful predictors of waiting time. This suggests that concerns about inequity of waiting times should be addressed by reorganisation of staff duty rosters.

摘要

目的

确定哪些患者特征与急诊科候诊时间延长相关,以及哪些特征与未就诊即离开的风险增加相关。

方法

对2001年1月1日至12月31日期间在谢菲尔德北部总医院收集的常规数据进行多变量分析。将患者年龄、性别、分诊优先级、邮政编码、就诊发起者、到达方式、就诊时间、日期和月份作为候诊时间和未就诊即离开风险的潜在预测因素进行研究。

结果

分析了71331例患者的候诊时间数据,以及另外5512例未就诊即离开的患者的数据。老年患者和分诊优先级较低的患者候诊时间较长,而乘坐救护车前来的患者候诊时间略短。性别、转诊来源和邮政编码不能预测候诊时间。与就诊时间相关的候诊时间最强预测因素是,夜间、周一或周日以及秋季就诊的患者候诊时间更长。未就诊即离开的患者更可能是年轻男性、分诊优先级较低、非乘坐救护车前来、自行转诊,并且在候诊时间最长的时候就诊。

结论

就诊时间而非个体患者特征似乎是候诊时间的最强预测因素。这表明,应通过重新安排工作人员值班表来解决对候诊时间不公平的担忧。

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