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急诊科就诊后6个月内老年患者医院利用情况的预测。

Prediction of hospital utilization among elderly patients during the 6 months after an emergency department visit.

作者信息

McCusker J, Bellavance F, Cardin S, Belzile E, Verdon J

机构信息

Department of Clinical Epidemiology and Community Studies, St. Mary's Hospital, Montreal,Quebec, Canada.

出版信息

Ann Emerg Med. 2000 Nov;36(5):438-45. doi: 10.1067/mem.2000.110822.

Abstract

STUDY OBJECTIVE

A simple screening tool, Identification of Seniors at Risk (ISAR), developed for administration in the emergency department for patients 65 years and older, predicts adverse health outcomes during the 6 months after the ED visit. In this study, we investigated whether the ISAR tool can also predict acute care hospital utilization in the same population.

METHODS

Patients 65 years and older who visited the EDs of 4 acute care Montreal hospitals during the weekday shift over a 3-month period were enrolled. At the initial (index) ED visit, 27 self-report screening questions (including the 6 ISAR items) were administered. The number of acute care hospital days during the 6 months after the index visit were abstracted from the provincial hospital discharge database. High utilization was defined as the top decile of the distribution of acute care hospital days.

RESULTS

Among 1,620 patients with linked data, a score of 2+ on the ISAR tool predicted high hospital utilization with a sensitivity of 73% and a specificity of 51%; the area under the receiver operating characteristic curve was 0.68. The ISAR tool also performed well in subgroups defined by disposition (admitted versus discharged) and by age (65 to 74 years versus 75 years and older).

CONCLUSION

The ISAR tool, a 6-item self-report questionnaire, can be used in the ED to identify elderly patients who will experience high acute care hospital utilization as well as adverse health outcomes.

摘要

研究目的

为65岁及以上患者在急诊科使用而开发的一种简单筛查工具——高危老年人识别工具(ISAR),可预测急诊就诊后6个月内的不良健康结局。在本研究中,我们调查了ISAR工具是否也能预测同一人群的急性护理医院利用率。

方法

纳入在3个月期间工作日班次前往蒙特利尔4家急性护理医院急诊科就诊的65岁及以上患者。在首次(索引)急诊就诊时,进行了27个自我报告筛查问题(包括6个ISAR项目)。索引就诊后6个月内的急性护理医院住院天数从省级医院出院数据库中提取。高利用率定义为急性护理医院住院天数分布的前十分位数。

结果

在1620名有相关数据的患者中,ISAR工具得分为2分及以上预测高医院利用率的灵敏度为73%,特异度为51%;受试者工作特征曲线下面积为0.68。ISAR工具在按处置方式(入院与出院)和年龄(65至74岁与75岁及以上)定义的亚组中也表现良好。

结论

ISAR工具是一份包含6个项目的自我报告问卷,可在急诊科用于识别将经历高急性护理医院利用率以及不良健康结局的老年患者。

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