设计和实施适应性学习会议周期:布基纳法索的 (重新) 解决项目经验
Reshma Trasi1, Cecelia Angelone2, Ginette Hounkanrin3
1Trasi Duarte Consulting, Alexandria, VA, USA. trasiduarte@gmail.com.
Global health, science and practice
|December 18, 2023
概括
响应反机制 (RFM) 允许程序适应. (re) solve项目使用适应性学习会议 (ALM) 进行计划生育干预措施的代改进,在动态环境中展示价值.
科学领域:
- 公共卫生 公共卫生
- 计划实施科学 计划实施科学
- 加强卫生系统 加强卫生系统
背景情况:
- 响应反机制 (RFM) 对于在实施过程中调整卫生计划至关重要.
- 该 (re) 解决项目旨在通过特定环境的解决方案来解决计划生育方面的未满足需求.
- 代适应是提高计划适应性,可行性和有效性的关键.
研究的目的:
- 描述适应式学习会议 (ALM) 周期的设计和实施,作为 (re) 解决项目的RFM.
- 评估ALM周期在促进计划生育干预措施快速调整方面的有用性.
- 在复杂的,动态的程序设置中,分享 RFM 实现的经验教训.
主要方法:
- 在布基纳法索,ALM周期是一个结构化,便利的会议过程,每两周实施一次,持续三个月.
- 数据和来自不同利益相关者的反,例行监测和观察得到迅速收集和分析.
- 团队参与解释数据,评估可行的选择,并决定短期和长期的调整.
主要成果:
- 该ALM周期促进了假设的浮出水面和检查,数据解释,选项分析和决策.
- 该过程强调了针对干预措施改进的可操作反,而不是严格的发现.
- 在指导代适应以提高项目实施,协调,效率和成果方面,ALM周期被证明是有效的.
结论:
- 在需要灵活性和代适应的程序中,ALM周期是一个有价值的RFM.
- 这种方法支持在复杂和动态的实施环境中响应性调整程序.
- (re) solve项目的经验为实施RFM的其他项目提供了实际见解,特别是在技术有限的地方.
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