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新冠疫情背景下 Go.Data 作为病例调查和接触者追踪的数字工具:一项混合方法研究。

Go.Data as a digital tool for case investigation and contact tracing in the context of COVID-19: a mixed-methods study.

机构信息

Health Emergencies Programme, World Health Organization, Geneva, Switzerland.

School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA.

出版信息

BMC Public Health. 2023 Sep 4;23(1):1717. doi: 10.1186/s12889-023-16120-w.

Abstract

BACKGROUND

A manual approach to case investigation and contact tracing can introduce delays in response and challenges for field teams. Go.Data, an outbreak response tool developed by the World Health Organization (WHO) in collaboration with the Global Outbreak Alert and Response Network, streamlines data collection and analysis during outbreaks. This study aimed to characterize Go.Data use during COVID-19, elicit shared benefits and challenges, and highlight key opportunities for enhancement.

METHODS

This study utilized mixed methods through qualitative interviews and a quantitative survey with Go.Data implementors on their experiences during COVID-19. Survey data was analyzed for basic univariate statistics. Interview data were coded using deductive and inductive reasoning and thematic analysis of categories. Overarching themes were triangulated with survey data to clarify key findings.

RESULTS

From April to June 2022, the research team conducted 33 interviews and collected 41 survey responses. Participants were distributed across all six WHO regions and 28 countries. While most implementations represented government actors at national or subnational levels, additional inputs were collected from United Nations agencies and universities. Results highlighted WHO endorsement, accessibility, adaptability, and flexible support modalities as main enabling factors. Formalization and standardization of data systems and people processes to prepare for future outbreaks were a welcomed byproduct of implementation, as 76% used paper-based reporting prior and benefited from increased coordination around a shared platform. Several challenges surfaced, including shortage of the appropriate personnel and skill-mix within teams to ensure smooth implementation. Among opportunities for enhancements were improved product documentation and features to improve usability with large data volumes.

CONCLUSIONS

This study was the first to provide a comprehensive picture of Go.Data implementations during COVID-19 and what joint lessons could be learned. It ultimately demonstrated that Go.Data was a useful complement to responses across diverse contexts, and helped set a reproducible foundation for future outbreaks. Concerted preparedness efforts across the domains of workforce composition, data architecture and political sensitization should be prioritized as key ingredients for future Go.Data implementations. While major developments in Go.Data functionality have addressed some key gaps highlighted during the pandemic, continued dialogue between WHO and implementors, including cross-country experience sharing, is needed ensure the tool is reactive to evolving user needs.

摘要

背景

人工进行病例调查和接触者追踪可能会导致应对工作延迟,并给现场团队带来挑战。由世界卫生组织(世卫组织)与全球暴发预警和反应网络合作开发的 Go.Data 是一种暴发应对工具,可简化暴发期间的数据收集和分析。本研究旨在描述 Go.Data 在 COVID-19 期间的使用情况,了解共同的益处和挑战,并强调增强功能的主要机会。

方法

本研究采用混合方法,通过对 Go.Data 实施者进行定性访谈和 COVID-19 期间的定量调查,了解他们的经验。对调查数据进行基本单变量统计分析。对访谈数据采用演绎和归纳推理以及分类主题分析进行编码。通过与调查数据的三角分析来明确关键发现。

结果

2022 年 4 月至 6 月,研究小组进行了 33 次访谈,并收集了 41 份调查答复。参与者分布在世卫组织所有六个区域和 28 个国家。虽然大多数实施情况代表了国家或国家以下各级政府行为体,但还从联合国机构和大学获得了额外投入。结果强调了世卫组织的认可、可及性、适应性和灵活的支持模式是主要的推动因素。数据系统和人员流程的正式化和标准化,以便为未来的暴发做好准备,是实施的一个受欢迎的副产品,因为 76%的人在此之前使用基于纸张的报告方式,并从围绕共享平台的协调中受益。还发现了一些挑战,包括团队中适当人员和技能组合的短缺,以确保顺利实施。在增强功能的机会中,包括改进产品文档和功能,以提高在大数据量下的可用性。

结论

本研究首次全面描述了 Go.Data 在 COVID-19 期间的实施情况以及可以从中吸取的共同经验教训。最终表明,Go.Data 是对不同背景下应对工作的有益补充,并为未来的暴发奠定了可复制的基础。应优先考虑在劳动力组成、数据架构和政治敏感性等领域进行协调一致的备灾工作,作为未来 Go.Data 实施的关键要素。虽然 Go.Data 功能的重大发展解决了大流行期间突出的一些关键差距,但世卫组织和实施者之间需要继续对话,包括跨国经验分享,以确保该工具能够对用户需求的变化做出反应。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f25/10476402/8bb5a75bc905/12889_2023_16120_Fig1_HTML.jpg

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