本文由小咖机器人翻译整理

期刊来源：Ann Intern Med

原文链接：https://doi.org/10.7326/M23-3077

摘要内容如下：

重度抑郁症（MDD）是一种严重的情绪障碍，在美国至少影响8.4%的成年人。抑郁症的特征包括持续的悲伤，对日常活动的兴趣减退，以及绝望的状态。如果不及时治疗，这种疾病可能会迅速发展，并产生毁灭性的后果。八个性能指标可用于评估MDD的筛查、诊断和成功管理。然而，许多绩效指标不符合有效性、可靠性、证据和意义的标准。

美国内科医师学会（ACP）将绩效评估作为一种手段，从外部验证诊所、医疗团体和健康计划的护理质量，并推动报销流程。然而，过多的绩效指标对患者护理的价值很低或没有价值，已经淹没了医生、实践和系统，并加重了他们收集和报告数据的负担。ACP的绩效评估委员会（PMC）使用经过验证的流程来审查绩效指标，以通知监管和认证机构，从而认可高质量的绩效指标，解决绩效指标中的差距和需要改进的领域，并帮助减少报告负担。在8个绩效指标中，PMC发现只有1个指标（自杀风险评估）在所有归因水平上都有效。本文对MDD性能度量进行了回顾，并强调了改进解决MDD管理的性能度量的机会。

英文原文如下：

Abstracts

Major depressive disorder (MDD) is a severe mood disorder that affects at least 8.4% of the adult population in the United States. Characteristics of MDD include persistent sadness, diminished interest in daily activities, and a state of hopelessness. The illness may progress quickly and have devastating consequences if left untreated. Eight performance measures are available to evaluate screening, diagnosis, and successful management of MDD. However, many performance measures do not meet the criteria for validity, reliability, evidence, and meaningfulness.

The American College of Physicians (ACP) embraces performance measurement as a means to externally validate the quality of care of practices, medical groups, and health plans and to drive reimbursement processes. However, a plethora of performance measures that provide low or no value to patient care have inundated physicians, practices, and systems and burdened them with collecting and reporting of data. The ACP's Performance Measurement Committee (PMC) reviews performance measures using a validated process to inform regulatory and accreditation bodies in an effort to recognize high-quality performance measures, address gaps and areas for improvement in performance measures, and help reduce reporting burden. Out of 8 performance measures, the PMC found only 1 measure (suicide risk assessment) that was valid at all levels of attribution. This paper presents a review of MDD performance measures and highlights opportunities to improve performance measures addressing MDD management.

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