Development of an Internet of things-based treatment adherence program among older adults with mild cognitive impairment using Intervention Mapping: A developmental study

利用干预映射技术开发基于物联网的轻度认知障碍老年人治疗依从性项目:一项发展性研究

阅读:2

Abstract

PURPOSE: Dementia and altered cognitive function are highly prevalent among older adults with mild cognitive impairment (MCI); hence, prevention is necessary before it develops into dementia. Treatment adherence-medication adherence and physical activity-is essential to prevent and delay dementia; however, comprehensive interventions to promote it in this population are lacking. This study aimed to develop a program for treatment adherence utilizing an Internet of Things (IoT) device. METHODS: The six-step mapping protocol was used to develop the IoT-based treatment adherence intervention (ITAI). The intervention was based on a literature review, expert opinions, and input from older adults with MCI. RESULTS: In Step 1, a needs assessment was conducted to gain insights into health problems and their underlying determinants. In Steps 2 and 3, performance objectives were identified for behavior change and selected theoretical and evidence-based methods were linked to the intervention outcomes. In Step 4, the ITAI was designed with components and materials consistent with the identified change goals and methods, and specific intervention components were developed. In Step 5, implementation plans and solutions to barriers to its application were identified. In Step 6, the plan to evaluate intervention effectiveness was outlined. CONCLUSION: The Intervention Mapping provided a systematic procedure for developing an ITAI for older adults with MCI and preparing a randomized controlled trial. Utilizing Intervention Mapping is useful as ITAI systematically processes treatment adherence for MCI using the IoT and is acceptable and valid. ITAI is expected to increase medication adherence and physical activity in older adults with MCI.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。