Study on the "digital divide" in the continuous utilization of Internet medical services for older adults: Combination with PLS-SEM and fsQCA analysis approach.

IF 4.5 2区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Wang Yu, Ying Ji, Zhijing Li, Kun Wang, Xue Jiang, Chun Chang
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引用次数: 0

Abstract

Background: With the rapid digitalization of healthcare and an aging population, understanding the factors influencing older adults' sustained adoption of Internet medical services is critical. However, existing research often oversimplifies these factors by relying on linear models. This study integrates Partial Least Squares Structural Equation Modeling (PLS-SEM) and fuzzy-set Qualitative Comparative Analysis (fsQCA) to explore the complex pathways driving continued use.

Methods: A survey of 1,920 older adults (60-75 years) in China assessed satisfaction, e-health literacy, self-efficacy, social support, social influence, social participation, and willingness to use Internet medical services. PLS-SEM examined the relationships between variables, while fsQCA identified multiple configurations leading to sustained use.

Results: PLS-SEM identified satisfaction as the strongest predictor of sustained use (β = 0.281, p < 0.001), acting as both a direct determinant and a mediator for e-health literacy and social participation. Social influence (β = 0.189, p < 0.001) and social support (β = 0.172, p < 0.001) also contributed significantly. FsQCA revealed six distinct configurations, with satisfaction and e-health literacy as core conditions across most pathways.

Conclusions: By integrating linear and configurational approaches, this study provides a nuanced understanding of older adults' digital healthcare behaviors. Enhancing satisfaction, digital literacy, and social engagement is key to fostering sustained adoption. Tailored interventions based on distinct configurations can maximize the effectiveness of digital health programs.

Implications: This research bridges gaps in understanding complex behaviors and provides actionable insights for policymakers and healthcare providers, highlighting the critical role of digital literacy and social support.

老年人持续利用互联网医疗服务的“数字鸿沟”研究:结合PLS-SEM和fsQCA分析方法
背景:随着医疗保健的快速数字化和人口老龄化,了解影响老年人持续采用互联网医疗服务的因素至关重要。然而,现有的研究往往依赖于线性模型,过度简化了这些因素。本研究结合偏最小二乘结构方程模型(PLS-SEM)和模糊集定性比较分析(fsQCA)来探索驱动持续使用的复杂途径。方法:对中国1,920名老年人(60-75岁)进行调查,评估满意度、电子卫生素养、自我效能、社会支持、社会影响力、社会参与和使用互联网医疗服务的意愿。PLS-SEM检查了变量之间的关系,而fsQCA确定了导致持续使用的多种配置。结果:PLS-SEM发现满意度是持续使用的最强预测因子(β = 0.281, p)。结论:通过整合线性和配置方法,本研究提供了对老年人数字医疗保健行为的细致理解。提高满意度、数字素养和社会参与度是促进持续采用的关键。基于不同配置的量身定制的干预措施可以最大限度地提高数字健康计划的有效性。启示:本研究弥补了理解复杂行为的空白,并为政策制定者和医疗保健提供者提供了可操作的见解,突出了数字素养和社会支持的关键作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
7.80
自引率
4.20%
发文量
162
审稿时长
28 weeks
期刊介绍: International Journal for Equity in Health is an Open Access, peer-reviewed, online journal presenting evidence relevant to the search for, and attainment of, equity in health across and within countries. International Journal for Equity in Health aims to improve the understanding of issues that influence the health of populations. This includes the discussion of political, policy-related, economic, social and health services-related influences, particularly with regard to systematic differences in distributions of one or more aspects of health in population groups defined demographically, geographically, or socially.
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