Exploring the Discontinuous Usage Behavior of Digital Cognitive Training Among Older Adults With Mild Cognitive Impairment and Their Family Members: Qualitative Study Using the Extended Model of IT Continuance.

IF 5.8 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES
Shangyang Zhang, Min Wu, Ruini Sun, Changjie Cui, Ziqing Zhang, Jing Liao, Ni Gong
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引用次数: 0

Abstract

Background: Digital cognitive training (DCT) has been found to be more effective than traditional paper-and-pencil training in enhancing overall cognitive function. However, a significant barrier to its long-term implementation is that older adults with mild cognitive impairment (MCI) do not continue to use it or even show a dropoff in usage after the initial engagement. Such short-term engagement may limit the potential benefits of DCT, as sustained use is required to achieve more pronounced cognitive improvements. Exploring the reasons for the shift in discontinuous usage behavior is crucial for promoting successful DCT implementation and maximizing its positive effects.

Objective: This study aimed to explore the intrinsic reasons for the transition from initial acceptance to discontinuous usage behavior among older adults with MCI throughout the DCT process, by employing the extended model of IT continuance (ECM-ITC).

Methods: We employed a qualitative research methodology and conducted 38 semistructured interviews before and after the use of DCT (3 times per week over 1 month, with each session lasting 30 minutes) with 19 older adults with MCI (aged 60 years or older) and 4 family members between January and March 2024. Thematic analysis and deductive framework analysis were used to identify the reasons for the discontinuous usage of DCT, with mapping to the ECM-ITC.

Results: Most participants failed to complete the standard dosage of DCT. Data analysis revealed the reasons for the shift to discontinuous usage. Despite their need to improve cognitive function, participants found the cognitive training confusing and discovered that DCT did not align with their preferred method of training upon actual use. The disparity between their vague expectations and reality, combined with the contradiction between the "delayed gratification" of DCT and their desire for "immediate gratification," made it difficult for them to discern the usefulness of DCT. Participants also viewed DCT as an additional financial burden and tended to avoid training under family pressure. They relied on motivational measures, which further weakened their intention to continue DCT, ultimately leading to the inability to develop continuous usage behavior.

Conclusions: Continuous usage behavior differs from initial acceptance as it evolves dynamically with user experience over time. To encourage older adults with MCI to persistently engage with DCT, it is essential to not only thoroughly consider their genuine preferences and the potential disruptions DCT may bring to their lives but also bridge the gap between expectations and actual experiences. While ensuring that older adults receive appropriate external incentives and encouragement, it is equally important to foster their intrinsic motivation, thereby gradually cultivating the habit of sustained DCT usage.

老年轻度认知障碍患者及其家庭成员数字认知训练间断使用行为研究:基于IT持续扩展模型的定性研究
背景:数字认知训练(DCT)在提高整体认知功能方面比传统的纸笔训练更有效。然而,长期实施的一个重大障碍是,患有轻度认知障碍(MCI)的老年人在最初参与后不会继续使用它,甚至出现使用率下降。这种短期参与可能会限制DCT的潜在益处,因为需要持续使用才能实现更明显的认知改善。探索不连续使用行为转变的原因对于促进DCT的成功实施和最大限度地发挥其积极作用至关重要。目的:本研究旨在通过扩展的信息技术持续模型(ECM-ITC),探讨老年MCI患者在DCT过程中从最初接受到不连续使用行为转变的内在原因。方法:我们采用定性研究方法,在使用DCT前后进行了38次半结构化访谈(每周3次,为期1个月,每次持续30分钟),于2024年1月至3月期间对19名老年MCI患者(60岁及以上)和4名家庭成员进行了访谈。使用主题分析和演绎框架分析来确定DCT不连续使用的原因,并映射到ECM-ITC。结果:大多数参与者未能完成标准剂量的DCT。数据分析揭示了转向不连续使用的原因。尽管他们需要提高认知功能,但参与者发现认知训练令人困惑,并且在实际使用中发现DCT与他们首选的训练方法不一致。他们模糊的期望和现实之间的差距,再加上DCT的“延迟满足”和他们渴望“立即满足”之间的矛盾,使得他们很难辨别DCT的有用性。与会者还认为DCT是额外的经济负担,并倾向于在家庭压力下避免培训。他们依赖于激励措施,这进一步削弱了他们继续DCT的意愿,最终导致无法发展持续的使用行为。结论:持续使用行为不同于最初的接受,因为它随着时间的推移随着用户体验而动态发展。为了鼓励患有轻度认知障碍的老年人坚持使用DCT,不仅要彻底考虑他们的真实偏好和DCT可能给他们的生活带来的潜在干扰,而且要弥合期望和实际经验之间的差距。在确保老年人获得适当的外部激励和鼓励的同时,培养他们的内在动机也同样重要,从而逐渐培养持续使用DCT的习惯。
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来源期刊
CiteScore
14.40
自引率
5.40%
发文量
654
审稿时长
1 months
期刊介绍: The Journal of Medical Internet Research (JMIR) is a highly respected publication in the field of health informatics and health services. With a founding date in 1999, JMIR has been a pioneer in the field for over two decades. As a leader in the industry, the journal focuses on digital health, data science, health informatics, and emerging technologies for health, medicine, and biomedical research. It is recognized as a top publication in these disciplines, ranking in the first quartile (Q1) by Impact Factor. Notably, JMIR holds the prestigious position of being ranked #1 on Google Scholar within the "Medical Informatics" discipline.
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