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筛查四类人群的日常健康信息素养。

Screening everyday health information literacy among four populations.

机构信息

Information Studies, Faculty of Humanities, University of Oulu, Oulu, Finland.

Information Studies, Faculty of Social Sciences, Business and Economics, Åbo Akademi University, Turku, Finland.

出版信息

Health Info Libr J. 2020 Sep;37(3):192-203. doi: 10.1111/hir.12304. Epub 2020 Apr 3.

DOI:10.1111/hir.12304
PMID:32243700
Abstract

BACKGROUND

People face varying obstacles when interacting with health information in their everyday lives.

OBJECTIVES

This study aims to examine the applicability of a multidimensional Everyday Health Information Literacy (EHIL) screening tool in detecting people with challenges in accessing, understanding, evaluating and using health information in everyday situations.

METHODS

Previously collected EHIL screening tool data from Finnish upper secondary school students (n = 217), Finnish young men (n = 1450), Finnish adults with an increased risk for metabolic syndrome (n = 559) and Namibian university students (n = 271) were reanalysed to examine the factorial structure of the tool and to compare the groups. Statistical analyses included exploratory factor analyses, calculation of mean factor scores and one-way analysis of variance.

RESULTS

A three factor structure ('awareness', 'access', 'assessment') for the screening tool was supported based on the Finnish samples. However, the Namibian data did not follow a similar structure. Significant differences in groupwise factor scores were discovered.

DISCUSSION

The findings suggest that the multidimensional EHIL screening tool can be used in pointing out areas where individuals or groups may need support.

CONCLUSION

The tool may be useful to health information and library services workers when counselling or educating the public.

摘要

背景

人们在日常生活中获取和使用健康信息时会遇到各种障碍。

目的

本研究旨在检验多维日常健康信息素养(EHIL)筛查工具在检测日常生活中获取、理解、评估和使用健康信息方面存在困难的人群的适用性。

方法

重新分析了先前从芬兰高中生(n=217)、芬兰年轻男性(n=1450)、芬兰代谢综合征风险增加的成年人(n=559)和纳米比亚大学生(n=271)中收集的 EHIL 筛查工具数据,以检验工具的因子结构并比较各组。统计分析包括探索性因子分析、平均因子得分计算和单因素方差分析。

结果

基于芬兰样本,支持了筛查工具的三因素结构(“意识”、“获取”、“评估”)。然而,纳米比亚的数据并不遵循类似的结构。发现组间因子得分存在显著差异。

讨论

研究结果表明,多维 EHIL 筛查工具可用于指出个人或群体可能需要支持的领域。

结论

该工具对于健康信息和图书馆服务工作者在为公众提供咨询或教育时可能是有用的。

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