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为德克萨斯州 COVID-19 大流行期间向卫生部门领导和当选官员通报而创建新的监测数据产品。

Creating Novel Surveillance Data Products for Briefing Health Department Leadership and Elected Officials During the COVID-19 Pandemic in Texas.

机构信息

Center for Health Statistics, Texas Department of State Health Services Austin, Texas.

出版信息

J Public Health Manag Pract. 2023;29(3):403-410. doi: 10.1097/PHH.0000000000001675. Epub 2022 Dec 2.

DOI:10.1097/PHH.0000000000001675
PMID:36730022
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10042739/
Abstract

Beginning in March 2020, the Texas Department of State Health Services (DSHS) developed several internal surveillance tools for briefing state health department leadership and elected officials on the status of the COVID-19 pandemic in Texas. This case study describes the initial conceptualization and daily production of 3 of these internal surveillance tools: (1) a COVID-19 data book displaying daily case, fatality, hospitalization, and testing data by county; (2) graphs and data files displaying new daily COVID-19 fatalities among residents of long-term care facilities in Texas; and (3) graphs and data files comparing COVID-19 cases and hospitalizations between the 4 COVID-19 waves in Texas. In addition, this case study uses qualitative interview data to describe how DSHS leadership used these surveillance products during the pandemic. Finally, details on challenges and lessons learned around creating and maintaining these tools are provided. These surveillance products are easily replicable, and our methods and lessons learned may be helpful for researchers or health department officials working on COVID-19 or other disease surveillance teams.

摘要

自 2020 年 3 月以来,德克萨斯州州立卫生服务部 (DSHS) 开发了几种内部监测工具,用于向州卫生部门领导和当选官员通报德克萨斯州 COVID-19 大流行的状况。本案例研究描述了其中 3 种内部监测工具的初步概念化和日常制作过程:(1) COVID-19 数据手册,按县显示每日病例、死亡、住院和检测数据;(2) 图表和数据文件,显示德克萨斯州长期护理设施居民中新增的每日 COVID-19 死亡人数;以及 (3) 图表和数据文件,比较德克萨斯州 COVID-19 4 波之间的病例和住院情况。此外,本案例研究还使用定性访谈数据来描述 DSHS 领导层如何在大流行期间使用这些监测产品。最后,提供了有关创建和维护这些工具的挑战和经验教训的详细信息。这些监测产品易于复制,我们的方法和经验教训可能对从事 COVID-19 或其他疾病监测团队的研究人员或卫生部门官员有帮助。