在以健康公平为重点,资源有限的环境中,衡量用于实施和干预活动的时间的挑战和建议:定性分析
Douglas E Levy1,2, Deepinder Singh3, Kelly A Aschbrenner4,5
1Mongan Institute Health Policy Research Center, Massachusetts General Hospital, 100 Cambridge St., Suite 1600, Boston, MA, 02114, USA. dlevy3@mgh.harvard.edu.
Implementation science communications
|September 1, 2023
概括
在资源有限的环境中,为健康公平研究收集员工时间数据是具有挑战性的. 被动方法是最不负担的,但积极和基于典型的自我报告可以在与定性数据相结合时产生可操作的见解.
科学领域:
- 卫生经济学 卫生经济学
- 实施科学 实施科学
- 医疗服务研究 医疗服务研究
背景情况:
- 对于在资源有限的环境中对健康公平干预措施的经济评估,存在有限的指导.
- 准确的员工时间使用数据对于了解干预成本和公平影响至关重要.
- 将数据收集负担与对优先次群的详细信息的需求相平衡是一个关键的挑战.
研究的目的:
- 评估在实施捆绑查干预期间收集人员成本数据的方法.
- 评估被动和主动数据收集方法对员工时间使用的可行性和准确性.
- 在联邦合格卫生中心 (FQHCs) 收集以健康公平为重点的经济数据的最佳策略.
主要方法:
- 在四个FQHC进行了试点研究,实施了捆绑查干预措施.
- 评估了被动和积极的员工时间数据收集方法.
- 与FQHC工作人员进行的定性访谈和数据完整性评估为评估提供了信息.
主要成果:
- 被动数据收集简单而完整,但错过了一些活动.
- 使用电子表格进行主动数据收集对于例行任务是有效的,但对于非标准化的任务是具有挑战性的.
- 自我报告的时间使用数据在询问典型任务和患者时最可靠,尽管由于患者特征存在变化.
结论:
- 由于负担较低,被动时间使用数据收集是首选的,但可能需要进行定性验证.
- 积极的数据收集适用于已建立的工作流程.
- 优化自我报告的时间使用包括专注于典型的任务和患者个人资料,以提高健康公平经济评估的数据准确性.
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