Web-based self-triage of influenza-like illness during the 2009 H1N1 influenza pandemic.

Web-based self-triage of influenza-like illness during the 2009 H1N1 influenza pandemic.
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DOI:
10.1016/j.annemergmed.2010.04.005
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发表时间:
2010-09
影响因子:
6.2
通讯作者:
Foldy S
Foldy S
中科院分区:
医学1区
文献类型:
--
作者:
Kellermann AL;Isakov AP;Parker R;Handrigan MT;Foldy S

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2009年春季突然出现的H1N1流感引发了纽约市和其他社区急诊室就诊人数的激增。预计第二年秋天将出现更大规模的第二波病例。为了在不拒绝必要护理的情况下减少卫生系统利用的潜在激增,我们征求了来自医学、公共卫生、护理、信息技术和其他学科的专家的意见,设计、测试和部署临床算法,以帮助受过最低限度培训的卫生保健工作者和非专业人员对流感样疾病的求诊做出明智的决定。这一合作的成果被命名为非现场快速分诊策略(SORT),以两种形式传播。美国疾病控制与预防中心(Centers for Disease Control and Prevention)网站上发布的静态算法,为临床医生和电话呼叫中心提供了如何管理患有流感样疾病的成人和儿童的指导。此外,还建立了两个互动网站http://www.Flu.gov和http://www.H1N1ResponseCenter.com,帮助成年人自我评估自己的病情,并对自己是否需要治疗做出明智的决定。尽管SORT基于先前验证的临床决策规则,纳入了专家临床医生的输入,并在快速站立期间进行了小规模的形成性评估,但缺乏前瞻性评估。如果它的效用和安全性得到证实,特别排序可能被证明是一种有用的工具,可以缓解卫生系统的激增,并迅速收集未来疾病暴发的流行病学数据。
The sudden emergence of 2009 H1N1 influenza in the spring of that year sparked a surge in visits to emergency departments in New York City and other communities. A larger, second wave of cases was anticipated the following autumn. To reduce a potential surge of health system utilization without denying needed care, we enlisted the input of experts from medicine, public health, nursing, information technology, and other disciplines to design, test, and deploy clinical algorithms to help minimally trained health care workers and laypeople make informed decisions about care-seeking for influenza-like illness. The product of this collaboration, named Strategy for Off-Site Rapid Triage (SORT) was disseminated in 2 forms. Static algorithms, posted on the Centers for Disease Control and Prevention's Web site, offered guidance to clinicians and telephone call centers on how to manage adults and children with influenza-like illness. In addition, 2 interactive Web sites, http://www.Flu.gov and http://www.H1N1ResponseCenter.com, were created to help adults self-assess their condition and make an informed decision about their need for treatment. Although SORT was anchored in a previously validated clinical decision rule, incorporated the input of expert clinicians, and was subject to small-scale formative evaluations during rapid standup, prospective evaluation is lacking. If its utility and safety are confirmed, SORT may prove to be a useful tool to blunt health system surge and rapidly collect epidemiologic data on future disease outbreaks.
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