在政策制定中严格使用证据:翻译早期证据
Daniel Max Crowley1, J Taylor Scott2
1assistant professor of human development and family studies at Pennsylvania State University and directs the Prevention Economics Planning and Research Program in the Edna Bennett Pierce Prevention Research Center. His research focuses on strengthening methods for conducting benefit-cost analyses of preventive interventions, leveraging administrative data to understand the fiscal impact of prevention, and facilitating evidence-based policy making through strategic investments in preventive services.
早期证据,包括计划成本和实施质量,补充了随机对照试验. 这种方法有助于制定政策,通过全面了解各种群体的计划影响.
科学领域:
- 医疗保健服务研究 医疗服务研究
- 基于证据的政策.
背景情况:
- 随机对照试验 (RCT) 提供了关键的疗效数据,但往往缺乏上下文信息.
- 对计划成本,实施质量和子组影响的早期证据对于政策决策至关重要.
研究的目的:
- 为评估早期证据的质量和影响提供一个框架.
- 引导早期证据转化为可行的政策建议.
主要方法:
- 这篇文章介绍了成分证据评估 (QICEA) 框架的质量和影响.
- 它概述了战略审查,证据质量标准和决策者沟通的流程.
主要成果:
- QICEA框架促进了各种早期证据类型的整合.
- 榜样性的努力证明了早期证据的成功转化为政策.
结论:
- 结合早期证据的共同框架提高了政策相关性和决策.
- 整合成本,质量和影响数据提供了一个更完整的图片,超出了RCT疗效.
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