使用常规健康数据监测疟疾干预的有效性:一个范围审查
Richard Reithinger1, Donal Bisanzio1,2, Anya Cushnie3
1Country Health Information System and Data Use Program, RTI International, Washington, DC, USA.
Tropical medicine & international health : TM & IH
|August 25, 2025
概括
常规的健康数据可以有效地跟踪疟疾干预. 这份范围审查强调使用健康管理信息系统评估干预影响并指导国家疟疾控制战略的分析方法.
科学领域:
- 公共卫生
- 流行病学
- 医疗信息学
背景情况:
- 疟疾干预措施在全球显著降低了疾病负担.
- 传统的有效性评估依赖于研究,调查和建模.
- 常规健康数据提供了一个补充和替代的数据来源.
研究的目的:
- 描述估计疟疾干预有效性的分析方法.
- 探索常规健康管理信息系统 (HMIS) 数据的使用.
主要方法:
- 对PubMed文献进行综述.
- 搜索词包括"疟疾"",干预"",影响"",系统"",监测".
- 仅包括过去十年的有强有力的HMIS数据的研究.
主要成果:
- 在957个初始记录中,有49项研究符合纳入标准.
- 研究因地理,结果,人口,干预和数据平台而异.
- 确定了一系列建模和非建模分析方法.
结论:
- 常规HMIS数据是定期评估疟疾干预有效性的可行资源.
- 这种定期评估对于确保干预措施达到国家战略目标至关重要.
- 使用常规数据支持持续的疟疾控制计划优化.
相关概念视频
Principles of Disease Surveillance
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Disease surveillance is the systematic collection, analysis, and interpretation of health data essential to the planning, implementation, and evaluation of public health practice. This process integrates data dissemination to entities responsible for preventing and controlling disease, injury, and disability. Surveillance systems provide crucial information for action, helping public health authorities make informed decisions to manage and prevent outbreaks, ensure public safety, optimize...
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Post-marketing surveillance is a critical component of pharmaceutical regulation, often uncovering unanticipated adverse drug reactions (ADRs) once a drug is widely used over an extended period.
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This process, termed pharmacovigilance, aims to detect, evaluate, and minimize harmful effects related to medication use. The data collection for pharmacovigilance depends on spontaneous reporting systems, where healthcare professionals or patients voluntarily report suspected ADRs.
In some cases, there...
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