Ozminkowski R J, Noether M, Nathanson P, Smith K M, Raney B E, Mickey D, Hawley P M
MEDSTAT Group, Inc., Ann Arbor, MI 48108, USA.
Health Serv Manage Res. 1997 Aug;10(3):173-86. doi: 10.1177/095148489701000304.
We developed methods for comparing physicians who would be selected to participate in a major employer's self-insurance program. These methods used insurance claims data to identify and profile physicians according to deviations from prevailing practice and outcome patterns, after considering differences in case-mix and severity of illness among the patients treated by those providers. The discussion notes the usefulness and limitations of claims data for this and other purposes. We also comment on policy implications and the relationships between our methods and health care reform strategies designed to influence overall health care costs.
我们开发了一些方法,用于比较那些将被选中参与一家大型雇主的自保计划的医生。这些方法利用保险理赔数据,在考虑了这些医疗服务提供者所治疗患者的病例组合和疾病严重程度差异之后,根据与普遍的医疗实践和治疗结果模式的偏差来识别医生并描绘其特征。讨论指出了理赔数据在此目的及其他目的方面的有用性和局限性。我们还对政策影响以及我们的方法与旨在影响总体医疗保健成本的医疗改革策略之间的关系发表了评论。