Barriers to mobile personal health assistant in patients living with diabetes.

IF 2.2 3区 医学 Q2 HEALTH CARE SCIENCES & SERVICES
Mei-Chen Kuo, Chiou-Fang Liou, Jyh-Horng Lin, Ching-Feng Huang, Li-Chueh Weng
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引用次数: 0

Abstract

Objectives: Continued use of a digital health assistant that helps patients living with diabetes to self-manage and deal with complex problems in order to enhance their health status is a healthcare priority. The objective was to explore the barriers related to the use of a mobile personal health assistant for patients with type 2 diabetes.

Methods: Eighty-one participants were offered a personal health assistant through a smartphone application. They completed a questionnaire after initial training (T0) and after 1 month's experience (T1).

Results and conclusion: Most had a positive behavioral intention before using it, but the opposite was found after 1 month. There were positive correlations between behavioral intention and the eight related factors. The strongest correlations were with satisfaction and perceived usefulness at T0 and T1, respectively. The factors' mean values decreased after 1 month. The best predictors of behavioral intention were satisfaction and performance expectancy at T0 and T1, respectively, which predicted the status of 88.4% and 82.7% of the sample. Our findings will help health experts to build better tools that satisfy patients and meet their expectations.

糖尿病患者使用移动个人健康助理的障碍。
目标:继续使用数字健康助手帮助糖尿病患者自我管理和处理复杂问题,以改善他们的健康状况,是医疗保健领域的当务之急。本研究旨在探讨与 2 型糖尿病患者使用移动个人健康助手有关的障碍:81名参与者通过智能手机应用程序获得了个人健康助理。结果和结论:大多数人在使用前都有积极的行为意向:大多数人在使用前都有积极的行为意向,但使用 1 个月后发现情况恰恰相反。行为意向与八个相关因素之间存在正相关。在 T0 和 T1,与满意度和感知有用性的相关性最强。1 个月后,这些因素的平均值有所下降。行为意向的最佳预测因子分别是 T0 和 T1 时的满意度和绩效预期,它们分别预测了 88.4% 和 82.7% 样本的行为意向。我们的研究结果将帮助医疗专家开发出更好的工具,以满足患者的需求和期望。
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
Health Informatics Journal
Health Informatics Journal HEALTH CARE SCIENCES & SERVICES-MEDICAL INFORMATICS
CiteScore
7.80
自引率
6.70%
发文量
80
审稿时长
6 months
期刊介绍: Health Informatics Journal is an international peer-reviewed journal. All papers submitted to Health Informatics Journal are subject to peer review by members of a carefully appointed editorial board. The journal operates a conventional single-blind reviewing policy in which the reviewer’s name is always concealed from the submitting author.
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