数据驱动的传染病控制:对专业人员态度,障碍和需求的定性研究
Babette van Deursen1,2, Cornelia H M van Jaarsveld1, Tessa van der Bruggen1
1Department of Primary and Community Care, Research Institute for Medical Innovation, Radboud University Medical Center, Nijmegen, The Netherlands.
Journal of medical Internet research
|November 17, 2025
概括
传染病控制 (IDC) 专业人员对数据驱动工作 (DDW) 有积极的态度,但面临实施障碍. 加强DDW需要一个支持的环境,有明确的定义和角色,以改善公共卫生准备.
科学领域:
- 公共卫生 公共卫生
- 传染病流行病学 传染病流行病学
- 医疗信息学 医疗信息学
背景情况:
- 数据驱动的策略对于及时和主动的传染病控制 (IDC) 变得越来越重要.
- 成功实施取决于将这些策略与IDC专业人员的需求相协调.
- 对于专业人士对数据驱动的IDC的看法,人们的理解有限.
研究的目的:
- 评估IDC专业人员关于数据驱动工作 (DDW) 的知识,态度和看法.
- 确定专业人员的需求,促进者和在采用DDW时的障碍.
- 探索IDC中数据利用的当前做法和观点.
主要方法:
- 探索性在线焦点小组讨论 (FGD) 与来自荷兰公共卫生服务 (PHS) 的IDC专业人员进行.
- 参与者包括不同的角色:医生,护士,感染预防专家,流行病学家,政策顾问,项目负责人和经理.
- 该研究采用了态度-社会影响力-效率模型和实施研究综合框架,并进行了主题和框架分析.
主要成果:
- 与36名专业人士一起进行的9次FGD揭示了五个关键主题:工作环境背景,DDW解释,附加值,团队参与以及开发/实施视角.
- 虽然一些数据驱动的策略正在使用,但数据往往没有转化为行动,这表明未开发的潜力.
- 对DDW的态度各不相同,受角色,工作量和感知价值等因素的影响;在个人,过程和组织层面上确定了促进者和障碍.
结论:
- IDC专业人士通常对DDW持积极态度,但强调了实施障碍和需求.
- 一个支持性的工作环境,有DDW的共同定义,明确的角色和责任,对于有效实施至关重要.
- 对这些领域的投资可以使人们从反应性转向战略性,以数据为基础的行动,提高对未来公共卫生威胁的准备.
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