Sara Alert: 2021年6月至8月,美国11个司法管辖区的COVID-19自动症状监测工具。

Online journal of public health informatics Pub Date : 2022-11-07 eCollection Date: 2022-01-01 DOI:10.5210/ojphi.v14i1.12449
Carla Bezold, Erin Sizemore, Heather Halter, Diana Bartlett, Kelly Hay, Hammad Ali
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引用次数: 0

摘要

目的:卫生部门人员对可能接触SARS-CoV-2的人员进行日常主动症状监测。这可能是资源密集型的。自动化和数字化工具可以提高效率。我们描述了使用数字工具Sara Alert在多个公共卫生管辖区进行自动每日症状监测。方法:使用Sara Alert的20个美国公共卫生管辖区中的11个提供了2021年6月29日至8月30日期间的平均每日活动数据。数据元素包括人口统计、通信偏好、症状监测启动的及时性、对每日消息的响应性和症状报告。结果:参与的司法管辖区为美国2200多万人提供服务。卫生部门工作人员使用这一数字工具平均每天监测12,000多人的COVID-19症状。平均而言,监测在最后一次接触后3.9天开始,平均进行5.7天。受监测的人通常< 18岁(45%,5,474/12,450),喜欢通过短信交流(47%)。74%的受监测人员每天至少回复一条自动症状信息。结论:在我们不同地理位置的样本中,我们发现使用自动化数字工具可能会提高公共卫生日常症状监测的能力,使工作人员能够将时间集中在对风险最大或需要支持的人进行干预上。未来的工作应包括确定司法管辖区在实施数字工具方面的成功和挑战;数字工具在识别有症状个体、确保适当隔离和检测以阻断传播方面的有效性;以及对公共卫生人员效率和项目成本的影响。
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Sara Alert: An automated symptom monitoring tool for COVID-19 in 11 jurisdictions in the United States, June - August, 2021.

Objectives: Health department personnel conduct daily active symptom monitoring for persons potentially exposed to SARS-CoV-2. This can be resource-intensive. Automation and digital tools can improve efficiency. We describe use of a digital tool, Sara Alert, for automated daily symptom monitoring across multiple public health jurisdictions.

Methods: Eleven of the 20 U.S. public health jurisdictions using Sara Alert provided average daily activity data during June 29 to August 30, 2021. Data elements included demographics, communication preferences, timeliness of symptom monitoring initiation, responsiveness to daily messages, and reports of symptoms.

Results: Participating jurisdictions served a U.S. population of over 22 million persons. Health department personnel used this digital tool to monitor more than 12,000 persons per day on average for COVID-19 symptoms. On average, monitoring began 3.9 days following last exposure and was conducted for an average of 5.7 days. Monitored persons were frequently < 18 years old (45%, 5,474/12,450) and preferred communication via text message (47%). Seventy-four percent of monitored persons responded to at least one daily automated symptom message.

Conclusions: In our geographically diverse sample, we found that use of an automated digital tool might improve public health capacity for daily symptom monitoring, allowing staff to focus their time on interventions for persons most at risk or in need of support. Future work should include identifying jurisdictional successes and challenges implementing digital tools; the effectiveness of digital tools in identifying symptomatic individuals, ensuring appropriate isolation, and testing to disrupt transmission; and impact on public health staff efficiency and program costs.

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