普拉亚斯:个人患者数据元分析数据库,用于聚合研究和分析,以在印度提供无贫血解决方案
Anuj Kumar Pandey1, Anju Pradhan Sinha2, Ramu Rawat3
1Department of Health Systems and Implementation Research, International Institute of Health Management Research, New Delhi, India.
Frontiers in public health
|January 8, 2026
概括
PRAYAS数据库分析了印度儿童和妇女的贫血患病率和干预效果. 它通过基于证据的策略支持印度的贫血解放印度计划.
科学领域:
- 公共卫生 公共卫生
- 营养科学 营养科学
- 流行病学 流行病学
背景情况:
- 贫血是印度的一个重大公共卫生问题,影响儿童,非怀孕/非哺乳期 (NPNL) 妇女和孕妇.
- 了解贫血患病率和促成因素对于有效的公共卫生干预至关重要.
研究的目的:
- 用个人患者数据元分析 (IPD-MA) 来估计印度不同人口群体的贫血患病率.
- 确定导致贫血的病因因素,包括微量营养素缺乏,有助于贫血.
- 评估贫血预防和治疗干预措施的有效性以及影响非反应的因素.
主要方法:
- 普拉雅斯IPD-MA数据库收集了88个数据集 (1994-2023) 的数据,涵盖了流行和干预研究.
- 分析包括超过319,721名参与者的流行率和59,292的干预,按年龄,地区和干预类型分层.
- 数据包括人口统计信息,干预细节和有限的微量营养素状态 (例如,费里,维生素B12).
主要成果:
- 数据库包括大量的患病率和干预分析的参与者,大多数数据集是随机对照试验.
- 地理分布显示,研究的很大一部分来自印度北部.
- 干预数据涵盖了孕妇,NPNL妇女和儿童的各种治疗方法,包括补充铁和基于食物的方法.
结论:
- PRAYAS数据库为了解印度贫血病提供了一个全面的资源.
- 这些发现将为贫血解放印度计划的策略提供信息和改进.
- 生成的证据将支持有针对性的干预措施,以减少弱势群体的贫血负担.
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