通过更好的质量衡量实现公正、公平、多样性和包容性的可持续方法

Nkem Okeke, Kerrilynn C. Hennessey, Amy M. Sitapati, Dana Weisshaar, Nishant P. Shah, Rebecca Alicki, Howard Haft
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引用次数: 0

摘要

美国医疗保健行业已广泛采用从电子健康记录中提取的绩效和质量衡量标准,并将其与支付激励措施挂钩,希望以此改善不断下降的预期寿命和健康状况,并降低成本。虽然基于电子健康记录数据的质量衡量基础设施的开发是解决美国健康结果问题的重要的第一步,但这些反映不同人群平均表现的衡量标准并不能充分调整人群的人口差异、健康的社会决定因素或生态系统的脆弱性。与整个社会一样,医疗保健必须正视健康的社会决定因素、种族、民族和其他人口统计差异对关键医疗保健绩效指标和质量指标的强大影响。目前可用于捕捉和报告美国人健康状况的工具缺乏改善健康状况和解决地方差距所需的粒度、复杂性和标准化。在本文中,我们将从公平的角度探讨电子临床质量测量的现状和未来。
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Sustainable Approach to Justice, Equity, Diversity, and Inclusion Through Better Quality Measurement
The US health care industry has broadly adopted performance and quality measures that are extracted from electronic health records and connected to payment incentives that hope to improve declining life expectancy and health status and reduce costs. While the development of a quality measurement infrastructure based on electronic health record data was an important first step in addressing US health outcomes, these metrics, reflecting the average performance across diverse populations, do not adequately adjust for population demographic differences, social determinants of health, or ecosystem vulnerability. Like society as a whole, health care must confront the powerful impact that social determinants of health, race, ethnicity, and other demographic variations have on key health care performance indicators and quality metrics. Tools that are currently available to capture and report the health status of Americans lack the granularity, complexity, and standardization needed to improve health and address disparities at the local level. In this article, we discuss the current and future state of electronic clinical quality measures through a lens of equity.
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