数字方法减少结核病治疗损失后续
C Oeser1, M X Rangaka1, I Abubakar1
1Institute for Global Health, University College London, London, UK.
概括
像视频观察治疗这样的数字工具可以改善结核病 (TB) 治疗的坚持,并且具有成本效益. 整合行为数据是实现这些数字依从支持工具的最佳实施的关键.
科学领域:
- 公共卫生 公共卫生
- 医疗信息学 医疗信息学
- 传染病管理 传染病管理
背景情况:
- 对结核病 (TB) 治疗的不良坚持显著影响临床结果.
- 随着COVID-19的流行,数字健康干预措施的采用加速了.
- 之前的审查已经为理解遵守支持工具奠定了基础.
研究的目的:
- 审查有关结核病治疗数字依从性支持工具的现有证据.
- 将研究结果与从2018年到现在出版的研究更新.
- 评估这些数字工具的有效性,成本效益和可接受性.
主要方法:
- 包括干预和观察研究,以及初级和二级分析.
- 总结关于有效性,成本效益和可接受性的证据.
- 对异质研究进行分析,采用多种结果测量和方法.
主要成果:
- 数字方法,包括数字药盒和异步视频观察治疗,是可以接受的.
- 这些数字工具显示了改善治疗坚持治疗的潜力.
- 有证据表明,当大规模实施时,数字坚持支持可以具有成本效益.
结论:
- 数字坚持支持工具是多策略方法的有价值组成部分,以改善结核病治疗的坚持.
- 需要进一步研究整合行为数据,以优化在不同环境中的技术实施.
- 数字干预措施有望提高结核病护理中的患者坚持和治疗结果.
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