发展中国家糖尿病视网膜病症查的经济评估:系统性审查
Ari Andayani1,2, Kevin Anggakusuma Hendrawan3, Yudistira4
1Department of Ophthalmology, Faculty of Medicine, Udayana University, Denpasar, Indonesia.
Korean journal of ophthalmology : KJO
|September 21, 2025
概括
人工智能 (AI) 和远程医疗在发展中国家提供具有成本效益的糖尿病视网膜病变 (DR) 查. 这些策略是可行的,尽管经济效益因实施模式和患者坚持不同而有所不同.
科学领域:
- 眼科医生 眼科 眼科
- 卫生经济学 卫生经济学
- 数字健康数字健康
背景情况:
- 糖尿病视网膜病变 (DR) 是一个重大的公共卫生挑战,特别是在发展中国家.
- 有效的查策略对于早期发现和预防视力丧失至关重要.
- 在资源有限的环境中,对DR查的现有标准护理可能在可访问性和成本效益方面受到限制.
研究的目的:
- 评估发展中国家糖尿病视网膜病变 (DR) 查策略的经济方面.
- 将人工智能 (AI) 和远程医疗干预措施的成本效益与DR查的标准护理进行比较.
主要方法:
- 在主要的科学数据库 (PubMed,ScienceDirect,Cochrane Library,Google Scholar) 中进行了系统的文献搜索.
- 包括专注于低收入或中等收入国家的1型或2型糖尿病患者的研究.
- 研究将人工智能或远程医疗干预与标准护理进行了比较,并纳入了健康经济评估.
主要成果:
- 包括来自中国,泰国,巴西和印度的7项研究,使用了成本效益和成本效益分析.
- 评估的干预措施包括基于人工智能的查,远程医疗和结合人工智能辅助远程医疗模型.
- 与标准护理相比,所有审查的策略都显示出成本效益,经济效益程度各不相同.
结论:
- 人工智能和基于远程医疗的DR查被支持为发展中国家的成本效益和可行的选择.
- 虽然通常在经济上可行,但成本节省和健康收益的程度受到特定模型,设置和假设的影响.
- 成功实施的关键因素包括适当的查频率和高患者遵守.
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