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利用 2016-2018 年 77 个国家的数据估算联合外部评估分数。

Estimating Joint External Evaluation Scores Using Country Data from 77 Countries, 2016-2018.

机构信息

Cindy Chiu de Vázquez, PhD, MPH, was a Junior Associate Professor; Yuwen Cynthia Jou was a Research Assistant and Consultant; and Momoka Asakura and Kaho Watanabe were Research Students; all in the Department of Community Health, Tohoku University Graduate School of Medicine, Sendai, Japan, when this research was conducted. Hein Htet Linn Nyan, MBBS, was an Independent Consultant. Toungup, Myanmar. Christopher Lowbridge, DrPH, MPH, is a Research Fellow, Global and Tropical Health, Menzies School of Health Research, Charles Darwin University, Darwin, Australia.

出版信息

Health Secur. 2021 Mar-Apr;19(2):150-162. doi: 10.1089/hs.2019.0135. Epub 2021 Mar 26.

DOI:10.1089/hs.2019.0135
PMID:33769893
Abstract

Since 2016, Joint External Evaluations (JEEs) help countries assess their health security preparedness and capacity to respond to public health risks. JEEs are 1 of 4 components of the International Health Regulations 2005 (IHR) Monitoring and Evaluation Framework. Compared with the mandatory State Party Self-Assessment Annual Reporting tool, JEEs use a transparent, rigorous, and collaborative process with international and in-country experts to evaluate IHR implementation. Because it is voluntary and not all States Parties have completed JEEs, we conducted a multiple linear regression model using publicly available JEE data to estimate global IHR implementation. We extracted JEE scores from the published JEE reports for 78 States Parties to the IHR and 12 sociodemographic, economic, and health indicator variables from 3 official reports and 3 official databases for all 194 World Health Organization Member States. Our final model consisted of 4 variables that significantly account for the variance of JEE score: total score from IHR annual reporting, lost disability-adjusted life years due to communicable diseases, gross domestic product, and health professional density (adjusted R = 0.833;  < .0001). We estimated only 1 in 10 countries (n = 19, 9.7%) worldwide had achieved average scores indicating demonstrated capacity or sustainable capacity across the 19 technical areas in the JEE tool. All 19 of these countries were in the high-income group, according to the World Bank classification, and were ranked very high on the Human Development Index, according to the United Nations Development Programme. These findings highlight the importance of ongoing efforts toward advancing global health security, especially in middle- to lower-income countries with limited resources.

摘要

自 2016 年以来,联合外部评估(JEE)帮助各国评估其应对公共卫生风险的卫生安全准备情况和能力。JEE 是 2005 年《国际卫生条例》(IHR)监测和评估框架的 4 个组成部分之一。与强制性的国家缔约方年度自我评估报告工具相比,JEE 使用透明、严格和协作的国际和国内专家评估程序来评估 IHR 的实施情况。由于它是自愿的,并非所有缔约国都完成了 JEE,因此我们使用公开的 JEE 数据进行了多元线性回归模型分析,以估计全球 IHR 的实施情况。我们从已发布的 JEE 报告中提取了 78 个 IHR 缔约国的 JEE 得分,以及来自 3 份官方报告和 3 个官方数据库的 12 个社会人口、经济和卫生指标变量,涵盖了所有 194 个世界卫生组织成员国。我们的最终模型包括 4 个变量,这些变量显著解释了 JEE 得分的差异:来自 IHR 年度报告的总分、因传染病导致的丧失残疾调整生命年、国内生产总值和卫生专业人员密度(调整后的 R2=0.833; < .0001)。我们估计,在全球范围内,只有 1/10(n=19,9.7%)的国家实现了平均得分,表明在 JEE 工具的 19 个技术领域具有展示能力或可持续能力。根据世界银行的分类,所有这 19 个国家都属于高收入国家,根据联合国开发计划署的排名,它们在人类发展指数方面的排名非常高。这些发现强调了持续努力推进全球卫生安全的重要性,特别是在资源有限的中低收入国家。

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