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急性心肌梗死(SAMI)后生存研究:一项正偏离研究的设计与实施。

Survival after acute myocardial infarction (SAMI) study: the design and implementation of a positive deviance study.

机构信息

Section of Cardiovascular Medicine, Yale University School of Medicine, New Haven, CT 06510, USA.

出版信息

Am Heart J. 2011 Dec;162(6):981-987.e9. doi: 10.1016/j.ahj.2011.09.004. Epub 2011 Oct 24.

Abstract

Positive deviance studies combining qualitative and quantitative designs-a mixed-methods approach-can discover strategies to produce exemplary performance. We present the SAMI study, a national positive deviance study to discover hospital strategies associated with lower 30-day hospital risk-standardized mortality rates (RSMRs). There is marked variation across hospitals in 30-day hospital RSMRs for patients with acute myocardial infarction and little information about what accounts for differences in performance. We first conducted a qualitative study of hospitals in the United States (n = 11; 158 key staff) that ranked in the top 5% of RSMRs for each of the 2 most recent years of data (2005-2006 and 2006-2007) from the Centers for Medicare & Medicaid Services at the time of sample selection and in the bottom 5% for contrast, with diversity among hospitals in key characteristics. Using hypotheses generated in this qualitative stage, we constructed a quantitative survey that was administered in a cross-sectional study of acute care hospitals in the United States operating from July 1, 2005, through June 30, 2008, that publicly reported Centers for Medicare & Medicaid Services data for RSMRs during this time. We included hospitals with at least 75 acute myocardial infarction discharges during the 3-year period. Of the 600 hospitals we attempted to contact, 10 had closed, leaving a final sample of 590, of which 537 responded (91%). This type of study, using a positive deviance approach and mixed-methods design, can generate and test hypotheses about factors most strongly associated with exemplary performance based on practices currently in use.

摘要

积极偏差研究结合了定性和定量设计——一种混合方法——可以发现产生卓越表现的策略。我们介绍了 SAMI 研究,这是一项全国性的积极偏差研究,旨在发现与较低的 30 天医院风险标准化死亡率(RSMR)相关的医院策略。在急性心肌梗死患者的 30 天医院 RSMR 方面,医院之间存在明显差异,而关于导致绩效差异的原因的信息却很少。我们首先对美国的医院进行了定性研究(n = 11;排名前 5%的医院在最近两年的数据中,每个医院有 158 名关键员工),2005-2006 年和 2006-2007 年的数据来自医疗保险和医疗补助服务中心,在样本选择时,排名最后 5%的医院则相反,医院之间存在关键特征的差异。在这个定性阶段生成的假设的基础上,我们构建了一个定量调查,该调查是在美国急性护理医院的横断面研究中进行的,该研究从 2005 年 7 月 1 日至 2008 年 6 月 30 日进行,在此期间,医院公开报告了医疗保险和医疗补助服务中心的数据,用于 RSMR。我们包括了在 3 年期间至少有 75 例急性心肌梗死出院的医院。在我们试图联系的 600 家医院中,有 10 家已经关闭,最后样本为 590 家,其中 537 家(91%)做出了回应。这种使用积极偏差方法和混合方法设计的研究可以生成和测试基于当前使用的实践与卓越表现最密切相关的因素的假设。

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