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构建公共卫生规划中疫苗纳入的指标框架:德尔菲-熵法研究。

Construction of an indicator framework for vaccine inclusion in public health programs: A Delphi-entropy method study.

机构信息

School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.

Division of Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing, China.

出版信息

Hum Vaccin Immunother. 2023 Dec 15;19(3):2272539. doi: 10.1080/21645515.2023.2272539. Epub 2023 Oct 31.

Abstract

Governments must decide which vaccine priority to include in their public health programs. Using the modified Delphi and entropy method, we developed an indicator framework for vaccine inclusion at the national, provincial, municipal, and district/county levels, each containing three dimensions. In total, 4 primary indicators, 17 secondary indicators, and 45 tertiary indicators were selected, covering vaccine-preventable diseases, candidate vaccines, and social drivers of the supply and demand sides. From a subjective perspective, there was no significant weighting difference in the primary and secondary indicators at all administrative levels. "Vaccine-preventable diseases" as a primary indicator had the greatest weight in the peer group, of which "Health burden" had the highest weight among the secondary indicators. From the objective perspective, the social drivers on the supply and demand sides of the primary indicators accounted for 65% and higher. Among the secondary indicators, "the characteristics of the candidate vaccine" and "vaccine-related policies on the supply side" held 8% of weights or more at both national and provincial levels. "Demographic characteristics" held the highest weight at the municipal (13.50) and district/county (15.45) level. This study indicates that China needs different considerations when using WHO-recommended vaccines at the national, provincial, municipal, and district/county levels. In addition, this study highlights that behavioral and social drivers are important indicators that need to be considered for decision-making. This framework provides a tool for policymakers to determine the inclusion priority of candidate vaccines.

摘要

政府必须决定将哪些疫苗纳入其公共卫生计划。我们使用改良 Delphi 和熵方法,为国家、省、市和区/县级疫苗纳入制定了一个指标框架,每个框架包含三个维度。总共选择了 4 个主要指标、17 个次要指标和 45 个三级指标,涵盖了可预防疾病、候选疫苗以及供需双方的社会驱动因素。从主观角度来看,各级别主要和次要指标之间没有明显的权重差异。作为主要指标的“可预防疾病”在同行组中权重最大,其中二级指标中的“健康负担”权重最高。从客观角度来看,主要指标供需双方的社会驱动因素占 65%及以上。在二级指标中,“候选疫苗的特点”和“供应方面的疫苗相关政策”在国家和省级层面的权重均达到 8%或以上。“人口特征”在市级(13.50)和区级/县级(15.45)层面的权重最高。本研究表明,中国在国家、省、市和区/县级层面使用世界卫生组织推荐的疫苗时需要不同的考虑。此外,本研究强调行为和社会驱动因素是决策中需要考虑的重要指标。该框架为决策者确定候选疫苗的纳入优先级提供了工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f0e/10760382/0a73a490667b/KHVI_A_2272539_F0001_B.jpg

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