弥合乌干达社区卫生工作者接受数字健康和实际使用之间的差距:基于技术接受模型探索关键的外部因素
Miiro Chraish1, Chisato Oyama2, Yuma Aoki3
1MobiKlinic Foundation, Kampala, Uganda.
PLOS digital health
|November 19, 2025
概括
社区卫生工作者 (CHWs) 对数字健康工具的接受度很高,但智能手机的有限访问阻碍了实际使用. 解决基础设施不平等问题对于有效的医疗系统数字化至关重要.
科学领域:
- 公共卫生 公共卫生
- 医疗信息学 医疗信息学
- 卫生系统研究 卫生系统研究
背景情况:
- 社区卫生系统对于低收入和中等收入国家普遍医疗覆盖至关重要.
- 卫生信息技术为加强社区卫生服务提供了机会.
- 了解社区卫生工作者 (CHW) 技术接受是扩展数字健康解决方案的关键.
研究的目的:
- 应用技术接受模型 (TAM) 来预测医疗保健机构对健康信息技术的接受和使用情况.
- 确定影响CHWs采用技术的外部因素.
- 评估技术对社区卫生系统的影响.
主要方法:
- 与170名社区卫生工作者进行了半结构化采访.
- 方便和雪球采样方法用于参与者招募.
- 定量分析包括响应编码,交叉表格,相关性和回归分析.
主要成果:
- 该TAM有效地预测了CHW使用数字健康工具的行为意图.
- 在高的行为意图和较低的实际使用之间存在很大的差距.
- 智能手机访问是实际技术使用的主要决定因素,超过了其他TAM变量.
结论:
- 医疗保健机构表现出强烈的愿意采用数字健康工具.
- 结构性障碍,特别是有限的智能手机接入,阻碍了医疗信息技术的实际使用.
- 公平获得基础设施对于成功数字化社区卫生系统至关重要.
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