Weiner J P, Starfield B H, Lieberman R N
Johns Hopkins University, Baltimore, MD 21205.
HMO Pract. 1992 Mar;6(1):13-9.
This paper describes a new ambulatory case-mix system developed at The Johns Hopkins University and known as Ambulatory Care Groups (ACGs). ACGs categorize a person into one of 51 categories based on the diseases and conditions for which they received treatment over a period of time, such as a year. ACGs can be used to describe the "illness-burden" of a population and are up to ten times more predictive of ambulatory care resource use than age and sex alone. ACGs can be determined using a computerized "grouper" software package based on ICD-9-CM diagnosis codes and demographic information presently found in virtually all claims or encounter data systems. They were developed and tested at four HMOs and a state's Medicaid program. This paper discusses the potential application of ACGs to analysis, financing, and management of ambulatory care, specifically as it relates to utilization review (UR), quality assurance (QA) and the adjustment of capitation payment within managed care settings.
本文介绍了约翰·霍普金斯大学开发的一种新的门诊病例组合系统,称为门诊护理组(ACGs)。ACGs根据一个人在一段时间(如一年)内接受治疗的疾病和状况,将其归入51个类别中的一类。ACGs可用于描述人群的“疾病负担”,其对门诊护理资源使用的预测能力比仅使用年龄和性别高出多达十倍。ACGs可以使用基于ICD-9-CM诊断代码和目前几乎所有理赔或诊疗数据系统中都有的人口统计信息的计算机化“分组器”软件包来确定。它们是在四家健康维护组织和一个州的医疗补助计划中开发和测试的。本文讨论了ACGs在门诊护理分析、融资和管理方面的潜在应用,特别是与利用审查(UR)、质量保证(QA)以及管理式医疗环境中的按人头付费调整相关的应用。