Research Institute of Pharmaceutical Sciences, College of Pharmacy, Seoul National University, Seoul, Republic of Korea.
Department of Pharmacy, Seoul National University Bundang Hospital, Gyeonggi-do, Republic of Korea.
J Med Internet Res. 2023 Jan 30;25:e40778. doi: 10.2196/40778.
With widespread use of the internet and mobile devices, many people have gained improved access to health-related information online for health promotion and disease management. As the health information acquired online can affect health-related behaviors, health care providers need to take into account how each individual's online health literacy (eHealth literacy) can affect health-related behaviors.
To determine whether an individual's level of eHealth literacy affects actual health-related behaviors, the correlation between eHealth literacy and health-related behaviors was identified in an integrated manner through a systematic literature review and meta-analysis.
The MEDLINE, Embase, Cochrane, KoreaMed, and Research Information Sharing Service databases were systematically searched for studies published up to March 19, 2021, which suggested the relationship between eHealth literacy and health-related behaviors. Studies were eligible if they were conducted with the general population, presented eHealth literacy according to validated tools, used no specific control condition, and measured health-related behaviors as the outcomes. A meta-analysis was performed on the studies that could be quantitatively synthesized using a random effect model. A pooled correlation coefficient was generated by integrating the correlation coefficients, and the risk of bias was assessed using the modified Newcastle-Ottawa Scale.
Among 1922 eHealth literacy-related papers, 29 studies suggesting an association between eHealth literacy and health-related behaviors were included. All retrieved studies were cross-sectional studies, and most of them used the eHealth Literacy Scale (eHEALS) as a measurement tool for eHealth literacy. Of the 29 studies, 22 presented positive associations between eHealth literacy and health-related behaviors. The meta-analysis was performed on 14 studies that presented the correlation coefficient for the relationship between eHealth literacy and health-related behaviors. When the meta-analysis was conducted by age, morbidity status, and type of health-related behavior, the pooled correlation coefficients were 0.37 (95% CI 0.29-0.44) for older adults (aged ≥65 years), 0.28 (95% CI 0.17-0.39) for individuals with diseases, and 0.36 (95% CI 0.27-0.41) for health-promoting behavior. The overall estimate of the correlation between eHealth literacy and health-related behaviors was 0.31 (95% CI 0.25-0.34), which indicated a moderate correlation between eHealth literacy and health-related behaviors.
Our results of a positive correlation between eHealth literacy and health-related behaviors indicate that eHealth literacy can be a mediator in the process by which health-related information leads to changes in health-related behaviors. Larger-scale studies with stronger validity are needed to evaluate the detailed relationship between the proficiency level of eHealth literacy and health-related behaviors for health promotion in the future.
随着互联网和移动设备的广泛应用,许多人在促进健康和疾病管理方面获得了更多获取在线健康信息的机会。由于在线获取的健康信息会影响与健康相关的行为,医疗保健提供者需要考虑个人的网络健康素养(电子健康素养)如何影响与健康相关的行为。
通过系统的文献回顾和荟萃分析,综合确定个体的电子健康素养水平是否会影响实际的与健康相关的行为,从而确定电子健康素养与与健康相关的行为之间的相关性。
系统检索 MEDLINE、Embase、Cochrane、KoreaMed 和 Research Information Sharing Service 数据库,检索截至 2021 年 3 月 19 日发表的关于电子健康素养与与健康相关的行为之间关系的研究。符合条件的研究需以一般人群为研究对象,根据经过验证的工具报告电子健康素养,使用无特定对照条件,并将与健康相关的行为作为结果进行测量。对于可以使用随机效应模型进行定量综合的研究进行荟萃分析。通过整合相关系数生成合并相关系数,并使用修改后的纽卡斯尔-渥太华量表评估偏倚风险。
在 1922 篇与电子健康素养相关的论文中,纳入了 29 项表明电子健康素养与与健康相关的行为之间存在关联的研究。所有检索到的研究均为横断面研究,其中大多数使用电子健康素养量表(eHEALS)作为电子健康素养的测量工具。在 29 项研究中,有 22 项研究表明电子健康素养与与健康相关的行为之间存在正相关关系。对 14 项研究进行了荟萃分析,这些研究报告了电子健康素养与与健康相关的行为之间的相关系数。当按年龄、发病状况和与健康相关的行为类型进行荟萃分析时,老年(年龄≥65 岁)人群电子健康素养与与健康相关的行为之间的合并相关系数为 0.37(95%CI 0.29-0.44),患病个体为 0.28(95%CI 0.17-0.39),促进健康行为为 0.36(95%CI 0.27-0.41)。电子健康素养与与健康相关的行为之间的总体相关性估计值为 0.31(95%CI 0.25-0.34),这表明电子健康素养与与健康相关的行为之间存在中等相关性。
我们关于电子健康素养与与健康相关的行为之间存在正相关关系的结果表明,电子健康素养可以作为健康相关信息导致与健康相关的行为发生变化的中介。未来需要进行更大规模、更具有效性的研究,以评估电子健康素养的熟练程度与促进健康的与健康相关的行为之间的详细关系。