与在Dusit模型原型区域接受远程医疗服务相关的因素
Nontawat Benjakul1,2,3, Utoomporn Wongsin4, Sukhontha Siri5
1M.Sc. (Public Health Administration), Faculty of Public Health, Mahidol University, Bangkok, 10400, Thailand.
Scientific reports
|July 13, 2025
概括
在曼谷接受远程医疗是由被认为易于使用和基础设施支持驱动的. 像婴儿潮一代和X一代这样的老一代人表现出较低的接受率,突出了针对性数字识字计划的需要.
科学领域:
- 医疗信息学 医疗信息学
- 数字健康数字健康
- 远程医疗的采用 远程医疗采用
背景情况:
- 泰国曼谷的Dusit模型试点将远程医疗整合到初级和三级医疗保健中,以缓解医疗过度拥挤和改善医疗服务的获取.
- 了解影响患者接受远程医疗的因素对于成功实施和公平提供医疗保健至关重要.
研究的目的:
- 确定Vajira@Home平台用户中远程医疗接受的关键决定因素.
- 应用扩展技术接受模型 (TAM) 来分析这些影响因素.
主要方法:
- 一项涉及389名参与者使用Vajira@Home远程医疗服务的横截面研究.
- 数据收集包括人口统计信息,扩展的TAM问卷和远程医疗接受度量.
- 统计分析包括描述性统计,奇平方测试和多变量二进制逻辑回归.
主要成果:
- 远程医疗的接受与用户生成,感知到的易用性 (aOR=3.95) 和促进条件 (aOR=5.78) 有显著的关联.
- 与Z一代相比,婴儿潮一代和X一代的远程医疗接受率较低.
- 扩展的TAM显示出一个很好的模型匹配 (AUC=0.79).
结论:
- 代际差异,感知可用性和可用的基础设施是影响远程医疗采用的关键因素.
- 未来的政策应侧重于提高老年人的数字素养,优化用户体验,并投资于强大的技术基础设施,以确保公平的远程医疗接入.
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