超越虚拟学习:利用ECHO项目来维持和本地化LMIC国家癌症控制计划的实施
Nathkapach Kaewpitoon Rattanapitoon1, Natnapa Heebkaew Padchasuwan2, Nav La3
1FMC Medical Center of Thailand, Nakhon Ratchasima, Thailand.
Journal of cancer policy
|September 15, 2025
概括
工程ECHO的虚拟同行学习模型显示了低收入和中等收入国家 (LMICs) 癌症控制的前景. 然而,它的有效性受到结构性障碍的限制,需要国家整合和政策协调才能产生可持续的影响.
科学领域:
- 全球健康 全球健康
- 卫生系统研究 卫生系统研究
- 控制癌症 控制癌症
背景情况:
- 项目ECHO (社区医疗保健成果的扩展) 是一个虚拟的同行学习模型.
- 它支持低收入和中等收入国家的国家癌症控制计划 (NCCP).
- 它与全球预防和控制非传染性疾病的战略保持一致.
研究的目的:
- 为了解 ECHO 项目在结构性障碍方面的局限性提供洞察力.
- 争取一个系统层面的视角,以实现可持续的项目ECHO的实施.
- 强调国家层面的整合和政策协调的重要性.
主要方法:
- 该研究从博茨瓦纳 (宫癌预防) 和印度 (息治疗能力建设) 的案例中汲取教训.
- 它呈现了一种对应,提供额外的见解,以回应先前的评估.
- 强调了系统层面的观点.
主要成果:
- 当结构性障碍仍然存在时,通过ECHO项目进行个人级别的培训是不够的.
- 通过国家一体化,跨部门政策协调和本地化实施,实现ECHO项目的全部潜力.
- 基于ECHO的知识的可持续嵌入需要解决系统性问题.
结论:
- 项目ECHO在LMICs中的成功取决于超越个人培训,以应对结构性和政策层面的挑战.
- 系统层面的方法对于将ECHO知识纳入国家癌症控制计划至关重要.
- 国家协调和多部门行动是最大限度地发挥像Project ECHO这样的虚拟学习模式影响的关键.
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