Health Informatics Department, Medicine and Health science college, Debre Markos University, Debre Markos, Ethiopia.
Health Informatics Department, College of Medicine and Health science, University of Gondar, Gondar, Ethiopia.
BMC Med Inform Decis Mak. 2020 Aug 6;20(1):181. doi: 10.1186/s12911-020-01202-1.
Chronic patients persistently seek for health information on the internet for medication information seeking, nutrition, disease management, information regarding disease preventive actions and so on. Consumers ability to search, find, appraise and use health information from the internet is known as eHealth literacy skill. eHealth literacy is a congregate set of six basic skills (traditional literacy, health literacy, information literacy, scientific literacy, media literacy and computer literacy). The aim of this study was to assess eHealth literacy level and associated factors among internet user chronic patients in North-west Ethiopia.
Institutional based cross-sectional study design was conducted. Stratified sampling technique was used to select 423 study participants among chronic patients. The eHealth literacy scale (eHEALS) was used for data collection. The eHEALS is a validated eight-item Likert scaled questionnaire used to asses self-reported capability of eHealth consumers to find, appraise, and use health related information from the internet to solve health problems. Statistical Package for Social science version 20 was used for data entry and further analysis. Multivariable logistic regression was used to examine the association between the eHealth literacy skill and associated factors. Significance was obtained at 95% CI and p < 0.05.
In total, 423 study subjects were approached and included in the study from February to May, 2019. The response rate to the survey was 95.3%. The majority of respondents 268 (66.3%) were males and mean age was 35.58 ± 14.8 years. The multivariable logistic regression model indicated that participants with higher education (at least having the diploma) are more likely to possess high eHealth literacy skill with Adjusted Odds Ratio (AOR): 3.48, 95% CI (1.54, 7.87). similarly, being government employee AOR: 1.71, 95% CI (1.11, 2.68), being urban resident AOR: 1.37, 95% CI (0.54, 3.49), perceived good health status AOR: 3.97, 95% CI (1.38, 11.38), having higher income AOR: 4.44, 95% CI (1.32, 14.86), Daily internet use AOR: 2.96, 95% CI (1.08, 6.76), having good knowledge about the availability and importance of online resources AOR: 3.12, 95% CI (1.61, 5.3), having positive attitude toward online resources AOR: 2.94, 95% CI (1.07, 3.52) and higher level of computer literacy AOR: 3.81, 95% CI (2.19, 6.61) were the predictors positively associated with higher eHealth literacy level.
Besides the mounting indication of efficacy, the present data confirm that internet use and eHealth literacy level of chronic patients in this setting is relatively low which clearly implicate that there is a need to fill the skill gap in eHealth literacy among chronic patients which might help them in finding and evaluating relevant online sources for their health-related decisions.
慢性患者持续在互联网上搜索健康信息,以获取药物信息查询、营养、疾病管理、疾病预防措施等方面的信息。消费者在互联网上搜索、查找、评估和使用健康信息的能力被称为电子健康素养技能。电子健康素养是由六项基本技能(传统素养、健康素养、信息素养、科学素养、媒体素养和计算机素养)组成的综合集合。本研究旨在评估西北埃塞俄比亚互联网使用者慢性患者的电子健康素养水平及其相关因素。
采用基于机构的横断面研究设计。采用分层抽样技术,从慢性患者中选择 423 名研究对象。使用电子健康素养量表(eHEALS)进行数据收集。eHEALS 是一个经过验证的八项李克特量表问卷,用于评估电子健康消费者从互联网上查找、评估和使用与健康相关信息以解决健康问题的自我报告能力。使用社会科学统计软件包 20 进行数据录入和进一步分析。多变量逻辑回归用于检验电子健康素养技能与相关因素之间的关联。在 95%置信区间和 p<0.05 时获得显著性。
总共从 2019 年 2 月至 5 月对 423 名研究对象进行了调查并纳入研究。调查的应答率为 95.3%。大多数受访者(66.3%)为男性,平均年龄为 35.58±14.8 岁。多变量逻辑回归模型表明,具有较高教育水平(至少具有文凭)的参与者更有可能具备较高的电子健康素养技能,调整后的优势比(AOR)为 3.48,95%置信区间(1.54,7.87)。同样,政府雇员 AOR:1.71,95%置信区间(1.11,2.68),城市居民 AOR:1.37,95%置信区间(0.54,3.49),认为健康状况良好 AOR:3.97,95%置信区间(1.38,11.38),收入较高 AOR:4.44,95%置信区间(1.32,14.86),每日使用互联网 AOR:2.96,95%置信区间(1.08,6.76),对在线资源的可用性和重要性有较好的了解 AOR:3.12,95%置信区间(1.61,5.3),对在线资源持积极态度 AOR:2.94,95%置信区间(1.07,3.52)和较高的计算机素养 AOR:3.81,95%置信区间(2.19,6.61)是与较高电子健康素养水平呈正相关的预测因素。
除了疗效的明显迹象外,本数据还证实,该环境中慢性患者的互联网使用和电子健康素养水平相对较低,这清楚地表明,需要填补慢性患者电子健康素养技能方面的差距,这可能有助于他们寻找和评估与健康相关的决策的相关在线资源。