老年人对流感疫苗的犹豫:我们站在哪里?

IF 3.5
Carla Pires
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引用次数: 0

摘要

背景:季节性流感可导致严重疾病和死亡,尤其是在老年人等高危人群中。目的:确定和分析与流感疫苗犹豫有关的研究,并确定报告最多的解释老年人疫苗犹豫的因素/变量。方法:采用叙述性回顾法。每个筛选的数据库定义关键词:PubMed, SciELO和DOAJ。纳入标准:确定老年人流感疫苗犹豫的潜在解释因素的研究(最近十年)。排除标准:摘要、给编辑的信、评论、评论、试点和非西班牙语、英语、葡萄牙语和意大利语的论文。确定并收集与疫苗犹豫有关的变量,直至数据饱和。根据疫苗犹豫5C模型对这些变量进行编码。用叙述性评论文章评估量表检查质量。结果:入选论文43篇。总体而言,确定了一组社会人口学变量和与5C模型相关的变量(例如,信心、自满、约束、风险计算或集体责任)可能与解释老年人疫苗犹豫有关。目前叙述的质量被列为可接受。结论:本研究为了解老年人群流感疫苗犹豫做出了宝贵贡献,并提出了文献支持的实用建议。然而,它的叙述方式和单一作者的设计限制了分析的深度和结果的概括。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Influenza vaccine hesitancy in the elderly: Where do we stand?

Background: Seasonal flu can cause severe illnesses and death, especially in risk groups, such as elderly.

Objectives: To identify and analyze studies related to influenza vaccine hesitancy and to identify the most reported factors/variables that explain vaccine hesitancy, regarding elderly.

Methods: A narrative review was carried out. Keywords were defined per each screened database: PubMed, SciELO and DOAJ.

Inclusion criteria: studies identifying potential explanatory factors of influenza vaccine hesitancy in older adults (last ten years).

Exclusion criteria: abstracts, letters to editors, commentaries, reviews, pilot and papers not written in Spanish, English, Portuguese and Italian. Variables related to vaccine hesitancy were identified and collected until saturation of data. These variables were codified according to 5C Model of Vaccine Hesitancy. Quality was checked with the Scale for the Assessment of Narrative Review Articles.

Results: 43 papers were selected. Overall, a set of sociodemographic variables and variables related to the 5C Model (e.g., confidence, complacency, constraints, risk calculation or collective responsibility) were identified as potentially relevant to explain vaccine hesitancy in elderly. The quality of the present narrative was classified as acceptable.

Conclusion: The present work makes a valuable contribution to the understanding influenza vaccine hesitancy in older populations, with the proposal of practical recommendations supported by literature. However, its narrative approach and single-author design limit the depth of analysis and the generalization of findings.

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