University of Michigan School of Medicine, Ann Arbor, Michigan 48109; email:
Center for Healthcare Outcomes and Policy, University of Michigan, Ann Arbor, Michigan 48105; email:
Annu Rev Med. 2018 Jan 29;69:481-491. doi: 10.1146/annurev-med-060116-022805.
Surgeons are increasingly under pressure to measure and improve their quality. While there is broad consensus that we ought to track surgical quality, there is far less agreement about which metrics matter most. This article reviews the important statistical concepts of case mix and chance as they apply to understanding the observed wide variation in surgical quality. We then discuss the benefits and drawbacks of current measurement strategies through the framework of structure, process, and outcomes approaches. Finally, we describe emerging new metrics, such as video evaluation and network optimization, that are likely to take on an increasingly important role in the future of measuring surgical quality.
外科医生面临着越来越大的压力,需要衡量和提高他们的医疗质量。虽然人们普遍认为我们应该跟踪手术质量,但对于哪些指标最重要,却远没有那么一致的意见。本文回顾了病例组合和机会在理解手术质量广泛差异方面的重要统计概念。然后,我们通过结构、过程和结果方法的框架讨论了当前测量策略的优缺点。最后,我们描述了新兴的新指标,如视频评估和网络优化,这些指标在未来衡量手术质量方面可能会发挥越来越重要的作用。