慢性病患者使用互联网诊断和治疗服务的意图的决定因素:基于UTAUT2模型
Jing Zhao1, Bei Li1, Jianwei Sun2
1Department of Biomedical Informatics, School of Life Sciences, Central South University, Changsha, China.
Frontiers in digital health
|August 18, 2025
概括
互联网诊断和治疗服务对于慢性疾病管理至关重要. 绩效预期,信任和电子健康素养等关键因素显著影响患者采用这些数字健康服务.
科学领域:
- 数字健康数字健康
- 医疗保健服务研究 医疗服务研究
- 公共卫生 公共卫生
背景情况:
- 慢性疾病对公众健康构成重大挑战,增加了医疗保健系统的负担.
- 互联网诊断和治疗服务为监测慢性疾病和减轻医疗保健压力提供了可行的解决方案.
- 这项研究专门研究了中国深的慢性病患者,将UTAUT2框架与信任和医疗习惯相结合.
研究的目的:
- 开发和测试一种理论模型,解释慢性疾病患者对使用互联网诊断和治疗服务的行为意图.
- 确定影响这些数字健康服务的接受和利用的关键决定因素.
- 为提高服务采用和质量提供基于证据的政策建议.
主要方法:
- 基于UTAUT2框架,专家咨询和初步调查,开发了一个理论模型.
- 在深,对823名慢性病患者进行了采用五点利克尔特比例的问卷调查.
- 数据使用SPSS和AMOS进行分析,采用描述统计,结构方程建模和Bootstrap方法进行调解分析.
主要成果:
- 绩效预期,努力预期,社会影响,价值,信任和电子健康素养对使用互联网诊断和治疗服务的行为意图产生了积极的影响.
- 感知到的风险对行为意图产生了负面影响,而医疗习惯没有显著影响.
- 绩效预期和努力预期部分调解了其他关键因素和行为意图之间的关系.
结论:
- 绩效预期,努力预期,社会影响,价值,信任,感知风险和电子健康素养是慢性疾病患者在互联网诊断和治疗服务采用的主要驱动因素.
- 调查结果支持有针对性的政策建议,以改善用户体验,并促进数字卫生服务的可持续发展,用于慢性疾病管理.
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