整合实施科学和干预优化,优化干预
Kate Guastaferro1, Corrina Moucheraud2, Jonathan Purtle2
1School of Global Public Health, New York University, 708 Broadway, Room 636, New York, NY, 10003, USA. Kate.guastaferro@nyu.edu.
本研究将干预优化原则引入实施科学. 它展示了多阶段优化策略 (MOST) 如何为基于证据的干预制定高效和可扩展的实施策略.
科学领域:
- 实施科学 实施科学
- 医疗保健服务研究 医疗服务研究
- 干预优化 干预优化
背景情况:
- 承认需要基于证据的干预措施 (EBI) 具有成本效益的实施策略.
- 强调平衡战略有效性与可负担性,可扩展性和效率的挑战.
研究的目的:
- 为了说明干预优化原则在实施科学中的整合.
- 展示多阶段优化策略 (MOST) 的应用,以开发和优化实施策略.
主要方法:
- 使用一个假设的例子来展示多相优化策略 (MOST).
- 详细介绍了MOST的三个阶段:准备,优化和评估.
- 检查了四个候选实施策略的选择,优化和评估.
主要成果:
- 为应用MOST在实施科学研究中提供了逐步指南.
- 讨论使用MOST的实际考虑和关键方法论点.
- 描述了优化策略,如培训,治疗指南,工作流重新设计和监督.
结论:
- 鼓励实施科学家采用干预优化原则.
- 旨在激发进一步的进步,将优化整合到实施科学中.
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