对于采用数字技术来实现结核病药物治疗的障碍和促进因素:定性系统审查协议
Zipporah Dery1,2, Celso Pagatpatan1,3,4,5, Margel Bonifacio1,5,6
1JBI De La Salle Committee on Evidence Synthesis, De La Salle Medical and Health Sciences Institute, Dasmarinas City, Cavite, Philippines.
JBI evidence synthesis
|January 28, 2026
概括
本综述探讨了结核病治疗中数字坚持技术的障碍和促进因素,重点关注人为因素. 了解这些因素对于改善结核病患者的治疗坚持和治疗结果至关重要.
科学领域:
- 公共卫生 公共卫生
- 传染性疾病 传染性疾病
- 医疗信息学 医疗信息学
背景情况:
- 结核病 (TB) 仍然是一个全球卫生挑战,每年有超过1000万例感染.
- 治疗不坚持是持续全球结核病负担的主要驱动因素.
- 数字坚持技术 (DATs) 显示混合的有效性,需要进一步的研究.
研究的目的:
- 质量地探索影响使用数字坚持技术治疗结核病的障碍和促进因素.
- 确定支持或阻碍DAT在结核病护理中的采用和有效性的人类因素.
主要方法:
- 按照JBI的方法进行定性系统审查.
- 在主要数据库 (PubMed,Embase,Scopus,Emcare) 和灰色文献中进行搜索.
- 由两名审稿人独立提取和综合数据,使用ConQual方法进行信任评估.
主要成果:
- 该部分在审查完成后将被填写.
- 关于患者和医疗保健工作者对DAT的观点的关键主题将出现.
- 将综合了解不同结核病群体中DAT的可用性,可接受性和整合性挑战.
结论:
- 这一审查将全面了解影响结核病治疗中DAT的人类因素.
- 调查结果将为开发和实施更有效的数字化遵守策略提供信息.
- 优化DAT可能会提高治疗坚持性,并减少全球结核病负担.
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