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大学健康环境中的基于网络的分诊

Web-based triage in a college health setting.

作者信息

Sole Mary Lou, Stuart Patricia L, Deichen Michael

机构信息

University of Central Florida School of Nursing, Orlando 32816-2210, USA.

出版信息

J Am Coll Health. 2006 Mar-Apr;54(5):289-94. doi: 10.3200/JACH.54.5.289-294.

DOI:10.3200/JACH.54.5.289-294
PMID:16539221
Abstract

The authors describe the initiation and use of a Web-based triage system in a college health setting. During the first 4 months of implementation, the system recorded 1,290 encounters. More women accessed the system (70%); the average age was 21.8 years. The Web-based triage system advised the majority of students to seek care within 24 hours; however, it recommended self-care management in 22.7% of encounters. Sore throat was the most frequent chief complaint (14.2%). A subset of 59 students received treatment at student health services after requesting an appointment via e-mail. The authors used kappa statistics to compare congruence between chief complaint and 24/7 WebMed classification (kappa = .94), between chief complaint and student health center diagnosis (kappa = .91), and between 24/7 WebMed classification and student health center diagnosis (kappa = .89). Initial evaluation showed high use and good accuracy of Web-based triage. This service provides education and advice to students about their health care concerns.

摘要

作者描述了在大学健康环境中基于网络的分诊系统的启用和使用情况。在实施的前4个月,该系统记录了1290次问诊。更多女性使用了该系统(70%);平均年龄为21.8岁。基于网络的分诊系统建议大多数学生在24小时内寻求治疗;然而,在22.7%的问诊中,它建议进行自我护理管理。喉咙痛是最常见的主要症状(14.2%)。59名学生通过电子邮件预约后在学生健康服务中心接受了治疗。作者使用kappa统计量来比较主要症状与全天候WebMed分类之间的一致性(kappa = 0.94)、主要症状与学生健康中心诊断之间的一致性(kappa = 0.91)以及全天候WebMed分类与学生健康中心诊断之间的一致性(kappa = 0.89)。初步评估显示基于网络的分诊系统使用率高且准确性良好。这项服务为学生提供有关其医疗保健问题的教育和建议。

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