Department of Biomedicine, Biotechnology, and Public Health, University of Cadiz, Cádiz, Spain.
Department of Quantitative Methods, Universidad Loyola Andalucía, Seville, Spain.
Int J Public Health. 2020 Apr;65(3):325-333. doi: 10.1007/s00038-020-01363-w. Epub 2020 Apr 10.
This study aimed to identify which are the socio-demographic factors that can describe health information users' profiles in Europe and assess which are the factors distinguishing users and non-users and their association with the use of health-related online information.
Data from the Flash Eurobarometer No. 404 (2014) was analysed through a multilevel logistic regression model and a propensity score matching.
There were significant differences in the use of the Internet for health information according to gender, age, education, long-term illness and health-related knowledge. Thus, some digital divides persisted in the use of health information online. Results showed that a poor health status was associated with a higher use of the Internet for health purposes only for people having chronic conditions.
Findings show a need to increase people's eHealth literacy, especially for males over 45 years old not suffering from a long-term illness. In order to limit the misuse of poor or untrustworthy health information that might contribute to higher health disparities, special interest should be focused on population socio-demographic characteristics.
本研究旨在确定哪些社会人口因素可以描述欧洲健康信息使用者的特征,并评估区分使用者和非使用者的因素及其与使用与健康相关的在线信息的关联。
通过多层次逻辑回归模型和倾向评分匹配分析了 2014 年 Flash 欧洲民意调查第 404 号的数据。
根据性别、年龄、教育、长期疾病和健康相关知识,互联网用于健康信息的使用存在显著差异。因此,在在线使用健康信息方面仍然存在一些数字鸿沟。结果表明,健康状况不佳与出于健康目的更多地使用互联网相关,但仅适用于患有慢性疾病的人群。
研究结果表明,需要提高人们的电子健康素养,特别是对于 45 岁以上没有长期疾病的男性。为了限制可能导致更高健康差距的不良或不可信健康信息的滥用,应特别关注人口的社会人口特征。