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相关概念视频

Statistical Software for Data Analysis and Clinical Trials01:12

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Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...
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经验,教训和挑战与适应REDCap的COVID-19实验室数据管理在一个资源有限的国家:描述性研究.

Kagiso Ndlovu1, Kabelo Leonard Mauco2, Onalenna Makhura1

  • 1Department of Computer Science, University of Botswana, Gaborone, Botswana.

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概括

整合研究电子数据捕获 (REDCap) 和地区卫生信息系统版本2 (DHIS2) 能够及时共享博茨瓦纳的COVID-19数据. 这项数字健康创新促进了集中报告,使国家能够做出明智的决策.

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博茨瓦纳 博茨瓦纳 博茨瓦纳 博茨瓦纳 博茨瓦纳在 COVID-19 疫情中,在DHIS2中使用DHIS2.国家卫生实验室国家卫生实验室红帽公司 (REDCap)数据管理数据管理电子健康 电子健康互操作性互操作性互操作性的互操作性

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科学领域:

  • 数字健康数字健康
  • 公共卫生信息学 公共卫生信息学
  • 健康数据管理 管理健康数据

背景情况:

  • 由于COVID-19大流行,需要快速,可靠的健康数据共享,以便在国家决策中发挥作用.
  • 博茨瓦纳在及时收集和报告COVID-19数据方面面临着挑战.
  • 研究了REDCap和DHIS2平台的整合,以满足这些数据管理需求.

研究的目的:

  • 报告从适应和实施REDCap和DHIS2.2中获得的经验,挑战和教训.
  • 为了支持博茨瓦纳国家卫生实验室 (NHL) 的COVID-19数据管理.
  • 建立一个有效的COVID-19数据流,用于集中报告.

主要方法:

  • 参与式设计方法指导了REDCap.的定制和实施.
  • 从2020年3月到6月,涉及29名NHL和4名卫生部人员.
  • 使用NVivo 11进行了对挑战和解决方案的专题分析,分类为基础设施,能力开发,平台限制和互操作性.

主要成果:

  • REDCap成功地满足了NHL对COVID-19数据管理的大部分技术和非技术要求.
  • 通过采购移动路由器,高级管理层参与,持续培训和开发第三方Web应用程序等策略来解决实施挑战.
  • 学到的经验教训为REDCap平台的未来改进提供了信息.

结论:

  • 实施REDCap用于COVID-19数据收集和与DHIS2集成是可行的,即使在流行病紧急情况下.
  • 实现了针对COVID-19病例的集中报告系统,使得国家能够及时作出决策.
  • 鉴定的挑战为资源有限的环境中可持续的数字健康创新提供了宝贵的教训.