免疫不良的根本原因 数据质量和经过验证的干预措施:系统文献综述
Olivia Wetherill1, Chung-Won Lee1, Vance Dietz2
1Monitoring & Evaluation, Policy and Performance, Gavi, The Vaccine Alliance, Switzerland.
Annals of infectious disease and epidemiology
|December 15, 2023
概括
免疫数据质量不佳源于工作人员的态度和有限的人力资源,而不仅仅是技术问题. 未来的干预措施必须解决行为因素,并建立在现有的做法上,以获得更好的健康数据和疫苗覆盖率.
科学领域:
- 全球健康 全球健康
- 卫生信息系统 卫生信息系统
- 疫苗计划 疫苗计划
背景情况:
- 在全球卫生方面有效地分配资源,特别是像Gavi,疫苗联盟等组织的疫苗计划,需要高质量,具有代表性的数据.
- 越来越多的疫苗投资加剧了准确和可靠数据的紧迫性,以最大限度地提高影响和覆盖率.
研究的目的:
- 确定免疫数据质量差的根本原因.
- 提出经过验证的解决方案,以改善免疫计划中的数据质量.
主要方法:
- 进行了科学和灰色文献的定性系统审查.
- 关键词集中在免疫和健康信息系统.
- 文章根据确定的根本原因或数据质量干预措施进行了选和分类.
主要成果:
- 从最初的8,646.6篇文章中,共分析了26篇文章.
- 关键主题包括卫生设施的表现不佳和边缘层面的人力资源能力有限.
- 鉴定出一种普遍存在的数据收集,报告和使用不良的"文化",这种文化是由工作人员的态度和行为所驱动的.
结论:
- 在已识别的行为/组织根源原因和主要的技术干预措施之间存在重大不兼容性.
- 未来的干预措施应优先考虑基于实践的逐步方法,这些方法建立在现有的卫生工作者技能上,并解决行为变化.
- 文献上的差距包括缺乏中央/中级评估,人口普查数据不准确与质量差之间的联系,以及针对政策/行为改变的干预措施.
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