手术质量监测系统确保手术安全、及时和有效，这对高质量的医疗保健至关重要。这些系统的核心是健康行政数据库，其中包含患者临床人口学信息、医疗过程和结果。通过分析监测系统的输出，我们可以识别医疗保健提供、患者体验和手术结果方面的差距。然而，我们的医疗保健中的差距只能通过我们收集的变量来衡量。公平筛选因素是可以识别患者人群的社会人口学描述符，他们在健康和医疗保健方面可能经历的差异可能被认为是不公正或不公平的。他们包括年龄、教育、性别、地理位置、收入、土著身份、种族群体和出生时的性别。这些公平分层因素代表着健康行政数据库中的社会健康决定因素的可衡量组成部分，允许对于健康不平等进行标准化分析和报告。然而，并非所有数据库都收集这些分层因素，这使得无法对可能经历健康不平等的患者亚组进行细致分析。而且，在收集此类信息的数据库中，使用的分类系统差异很大，使得跨司法管辖区的比较具有挑战性。本叙述性评论的重点是应用公平分层框架的原则，研究在美国和加拿大的手术质量改进数据库、癌症监测系统和省/州级健康行政数据库中收集的措施。本叙述性评论的目标是：1）向研究人员、外科医生和决策者介绍常见健康行政数据库中收集的社会变量的当前情况；2）概述当前收集系统的优点和缺点；3）呼吁决策者在数据的收集和报告中整合健康公平框架。版权所有©2023 Elsevier Inc.保留所有权利。

Ensuring safe, timely, and effective surgery is critical for high-quality healthcare and is the goal of surgical quality monitoring systems. At the heart of these systems are health administrative databases which house patient clinico-demographic information, healthcare processes and outcomes. Through analysis of monitoring systems outputs, we can identify gaps within healthcare delivery, patient experience, and surgical outcomes. However, gaps in our healthcare can only be measured by the variables we collect. Equity stratifiers are sociodemographic descriptors that can identify patient populations who experience differences in health and healthcare that may be considered unjust or unfair. They include age, education, gender, geographic location, income, Indigenous identity, racialized group, and sex at birth. These equity stratifiers represent measurable components of the social determinants of health housed within health administrative databases and allow for standardized analysis and reporting of health inequity. However, not all databases collect these stratifiers - making granular analysis of patient subgroups who may experience health inequity impossible to measure. Moreover, in databases that do collect this information, a wide range in the classification systems used makes for comparisons across jurisdictions challenging. The focus of this narrative review will be to apply the principles of the equity stratifier framework to examine what measures are collected in surgical quality improvement databases, cancer monitoring systems and provincial/state health administrative databases in the United States of America and Canada. The goal of this narrative review is to 1) inform researchers, surgeons, and policymakers of the current landscape of social variables collected within common health administrative databases. 2) Outline the pros and cons of the current collection system. 3) Issue a call to action for policymakers to incorporate health equity frameworks into the collection and reporting of data.Copyright © 2023 Elsevier Inc. All rights reserved.