印度的一种健康指数计算器,用于政策管理的实证方法:开发和可用性研究
Saveetha Meganathan1, Arpit Katiyar1, Esha Srivastava1
1Tata Institute for Genetics and Society, Bengaluru, 560065, India, 91 9441902188.
Online journal of public health informatics
|June 26, 2025
概括
这项研究为印度开发了一种One Health Index (OHI) 计算器,证明其用于基于证据的治理和政策决策. 通过评估人类,动物和环境健康的相互联系,OHI计算器有助于加强全球卫生安全.
科学领域:
- 公共卫生 公共卫生
- 环境科学 环境科学
- 兽医医学 兽医医学 兽医医学
背景情况:
- 一个健康方法强调人,动物和环境健康的相互联系,以有效管理疾病和全球卫生安全.
- 经验评估通过指数指导资金,资源分配,数据管理和政策决策的干预.
- 为印度开发一个健康指数 (OHI) 计算器对于基于证据的治理至关重要,特别是在低收入和中等收入国家.
研究的目的:
- 为印度开发一个用户友好的One Health Index (OHI) 计算器,采用高效的权重方法.
- 使用可靠的二次数据源创建印度特定的数据集.
- 识别数据缺口,这对于有效的政策管理和"一个健康"治理至关重要.
主要方法:
- 一个健康指数 (OHI) 计算器是基于全球健康指数框架提出的,包括3个类别,13个关键指标,57个指标和216个子指标.
- 印度特定的数据集是从可靠的二次来源编制的.
- 采用了两种权重方法:基于专家的模糊范围分析和基于的修改方法.
主要成果:
- 该研究证明了OHI的逐步计算,使用模糊范围分析和修改的基于的权重.
- 创建了一个印度特定的数据集,其中有216个子指标中的156个可用数据,突出显示剩余60个子指标的数据差距.
- 试点分析显示,预算分配增加与指标得分改善之间存在正相关性,这突显了金融投资的影响.
结论:
- 开发的OHI计算器可以作为治理工具,促进数据透明度和道德管理.
- 协作数据联合对于解决数据缺口和提高数据完整性至关重要.
- 相关性分析为决策者提供经验证据,以加强跨部门沟通,利益相关者参与和资源分配,以便明智作出决策.
关键词:
这是一个指数指数指数指数指数指数指数.印度 印度 印度这是一个LMIC.模糊程度分析分析模糊程度分析这是一个指标指标指标.低收入和中等收入国家.修改的基于的权重方法.一个健康的健康.一个健康指数计算器政策管理管理管理政策管理.收集二次数据收集二次数据收集更多相关视频
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