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首页> 外文期刊>Emergency medicine journal: EMJ >Characteristics of frequent attenders in an emergency department: analysis of 1-year attendance data.
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Characteristics of frequent attenders in an emergency department: analysis of 1-year attendance data.

机译:急诊科常客的特征:1年出勤数据分析。

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BACKGROUND: There is a significant literature examining the reasons why patients attend emergency departments frequently. This body of work suggests that sociodemographic characteristics are important in understanding why patients re-attend, but it does not provide a definition of what frequent attendance means. This paper aims to identify personal and attendance factors associated with frequent attendance at an emergency department. METHODS: One-year emergency department attendance data from a south-east London teaching hospital (2006-7) were analysed. The dataset was analysed at two levels: the individual patient level and the attendance level. Frequencies and cross-tabulations were produced to describe the dataset. Confidence intervals were calculated for both patient and attendance level data. RESULTS: 82 812 patients made 117 187 attendances to the emergency department during 1 year. Each patient made an average of 1.4 attendances; 46% were repeat attendances. The analysis demonstrated differences in the personal and attendance profile of patients who attended the emergency department more frequently during the study period. A change in the patient profile first appeared at the fourth attendance and the change became more pronounced as attendances increased. Frequent attenders were more likely to be men (50.5% of single attendances; 69.5% of > or =10 attendances), older (single attendance, mean age 32 years; > or =10 attendances, mean age 45.6 years), to attend outside daytime hours (51.4% of single attendances; 69.2% of > or =10 attendances) and to be triaged into the more serious categories (36.1% of single attendances; 54.3% of > or =10 attendances). CONCLUSION: Where local services are being designed to divert frequent attenders, existing data sources can be a rich source of information to inform service design. For example, this analysis identifies older men at their fourth or more attendance as a potentially important group when examining frequent attendance at this particular hospital. It also identified a potential need for services outside normal surgery hours, although frequent attenders tend to be triaged into the more urgent categories.
机译:背景:有大量文献研究了患者频繁去急诊室的原因。这项工作表明,社会人口统计学特征对于理解患者为什么要再次就诊很重要,但并未提供对频繁出勤的含义的定义。本文旨在确定与急诊科频繁出勤相关的个人和出勤因素。方法:分析伦敦东南教学医院(2006-7)一年急诊科出勤的数据。在两个级别上分析数据集:个人患者级别和出勤级别。产生了频率和交叉表来描述数据集。计算患者和出勤水平数据的置信区间。结果:82 812名患者在1年内向急诊科求诊117 187次。每位患者平均出勤1.4次。 46%是重复出勤。分析表明,在研究期间,经常去急诊室就诊的患者的个人和出勤情况存在差异。患者概况的变化首先出现在第四次就诊,随着就诊率的增加,变化变得更加明显。经常外出就诊的男性是男性(单次就诊的50.5%;≥10的出勤的69.5%),年龄较大(单次就诊,平均32岁;≥10的出勤,平均45.6岁)白天时间(单次出勤的51.4%;≥10的出勤的69.2%),并被分为更严重的类别(单次出勤的36.1%;≥10出勤的54.3%)。结论:在设计本地服务来转移经常参加者的地方,现有的数据源可以是丰富的信息源,可以为服务设计提供信息。例如,当检查该特定医院的频繁出勤时,此分析将第四次或以上出诊的老年男性识别为潜在的重要人群。它还确定了正常手术时间以外可能需要的服务,尽管经常参加者往往被分为更紧急的类别。

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