■随着科学技术的进步和健康素养的提高,更多的研究集中在通过促进药物依从性来预防虚弱,强调电子健康素养的作用。然而,在虚弱的老年人中,电子健康素养与药物依从性之间的关系尚未得到很好的研究,这种关系是否存在城乡差异尚不清楚。
■本研究旨在研究不同虚弱状态的老年人的电子健康素养与药物依从性之间的关系,强调城乡之间的差异。
■在2020年11月至12月期间,采用多阶段随机抽样方法,招募了中国4218名城乡社区成员(年龄≥60岁)作为参与者。进行面对面的结构化问卷调查,收集人口学特征信息,电子健康素养(包括应用程序,评估,和决策维度),和药物依从性。使用Norman和Skinner开发的中文版电子健康素养量表评估电子健康素养,使用4项Morisky量表测量药物依从性。我们使用一般描述性分析和分层逻辑回归模型来研究电子健康素养如何与药物依从性和城乡差异相关联。
■有4218名受访者,其中2316人(54.9%)生活在城市地区,1902人(45.1%)生活在农村地区,分别。在调整了潜在的混杂因素后,在有偏好的参与者中,就较少的应用而言,eHealth素养与城市地区的药物依从性相关(调整后的优势比[AOR]1.16,95%CI0.82-1.63),评估较低(AOR1.29,95%CI0.92-1.81),决策能力较低(AOR1.20,95%CI0.86-1.68);就较少的应用而言,农村地区的电子卫生素养与药物依从性有关(AOR1.10,95%CI0.56-2.13),评估较低(AOR1.05,95%CI0.61-1.79),决策能力较低(AOR1.10,95%CI0.64-1.90)。在脆弱的参与者中,电子健康素养较低(AOR0.85,95%CI0.48-1.51),以及它的尺寸,包括较少的应用(AOR0.85,95%CI0.47-1.54),评估(AOR0.89,95%CI0.50-1.57),和决策能力(AOR0.99,95%CI0.55-1.76),与城市地区的用药依从性相关;电子健康素养较低(AOR0.89,95%CI0.48-1.65),以及它的尺寸,包括较少应用(AOR1.23,95%CI0.62-2.44),评估(AOR0.98,95%CI0.53-1.82),和决策能力(AOR0.90,95%CI0.49-1.67),与农村地区的药物依从性有关。
■这项研究的结果表明,在体弱多病的老年人中,电子健康素养与药物依从性之间存在关联。为了促进药物依从性,电子健康素养有助于定制干预措施。
UNASSIGNED: With advances in science and technology and improvements in health literacy, more studies have focused on frailty prevention by promoting medication adherence, emphasizing the role of eHealth literacy. However, the association between eHealth literacy and medication adherence in frail older adults has not been well studied, and it is unknown whether urban-rural differences exist in this relationship.
UNASSIGNED: This study aims to examine the relationship between eHealth literacy and medication adherence in older people with different frailty statuses, emphasizing variations between rural and urban areas.
UNASSIGNED: Between November and December 2020, a total of 4218 urban and rural community members (aged ≥60 years) in China were recruited as participants using a multistage random sampling method. A face-to-face structured questionnaire survey was conducted to collect information on demographic characteristics, eHealth literacy (consisting of application, evaluation, and decision dimensions), and medication adherence. eHealth literacy was assessed using the Chinese version of the eHealth Literacy Scale developed by Norman and Skinner, and medication adherence was measured using the 4-item Morisky scale. We used a general descriptive analysis and stratified logistic regression models to examine how eHealth literacy is linked to medication adherence and urban-rural differences.
UNASSIGNED: There were 4218 respondents, of which 2316 (54.9%) lived in urban areas and 1902 (45.1%) in rural areas, respectively. After adjusting for potential confounders, among participants with prefrailty, eHealth literacy was associated with medication adherence in urban areas in terms of less application (adjusted odds ratio [AOR] 1.16, 95% CI 0.82-1.63), less evaluation (AOR 1.29, 95% CI 0.92-1.81), and less decision ability (AOR 1.20, 95% CI 0.86-1.68); eHealth literacy was linked with medication adherence in the rural areas in terms of less application (AOR 1.10, 95% CI 0.56-2.13), less evaluation (AOR 1.05, 95% CI 0.61-1.79), and less decision ability (AOR 1.10, 95% CI 0.64-1.90). Among frail participants, less eHealth literacy (AOR 0.85, 95% CI 0.48-1.51), along with its dimensions, including less application (AOR 0.85, 95% CI 0.47-1.54), evaluation (AOR 0.89, 95% CI 0.50-1.57), and decision ability (AOR 0.99, 95% CI 0.55-1.76), were associated with medication adherence in urban areas; less eHealth literacy (AOR 0.89, 95% CI 0.48-1.65), along with its dimensions, including less application (AOR 1.23, 95% CI 0.62-2.44), evaluation (AOR 0.98, 95% CI 0.53-1.82), and decision ability (AOR 0.90, 95% CI 0.49-1.67), were associated with medication adherence in rural areas.
UNASSIGNED: The results of this study suggest that there is an association between eHealth literacy and medication adherence among older people with frailty and prefrailty. To promote medication adherence, eHealth literacy can be helpful in tailoring interventions.