Melnick Edward R, O'Brien Elizabeth G J, Kovalerchik Olga, Fleischman William, Venkatesh Arjun K, Taylor R Andrew
Department of Emergency Medicine, Yale University School of Medicine, New Haven, CT.
Robert Wood Johnson Clinical Scholar Program, Yale University School of Medicine, New Haven, CT.
Acad Emerg Med. 2016 Aug;23(8):895-904. doi: 10.1111/acem.13017. Epub 2016 Aug 1.
Variation in emergency physician computed tomography (CT) imaging utilization is well described, but little is known about what drives it. Physician empathy has been proposed as a potential characteristic affecting CT utilization.
The objective was to describe empathy in a cohort of emergency physicians and evaluate its association with CT utilization. We also sought to compare emergency physician performance on an empathy psychometric test with performance on other psychometric tests previously proposed as predictors of CT utilization.
This cross-sectional study included two parts: 1) a secondary analysis of emergency department (ED) CT imaging utilization data in a large health system from July 2013 to June 2014 and 2) a survey study of the cohort of physicians responsible for this imaging using four psychometric scales: the Jefferson Scale of Empathy (JSE), a risk-taking subset of the Jackson Personality Index (RTS), the Stress from Uncertainty Scale (SUS), and the Malpractice Fear Scale (MFS). The study included data and physicians from four EDs: one urban, academic ED, two community, and one free-standing. A hierarchical, mixed-effects regression model was used to evaluate the association between emergency physician performance on the four scales and risk-adjusted CT imaging utilization. The model incorporated physician-specific CT utilization rates adjusted for propensity scores that were calculated using over 500 patient-level variables via random forest methods, physician demographics, and a random provider effect to account for the clustering of observations.
CT variation analysis included 113,517 patients seen during the study period by the 74 eligible emergency physician survey respondents; 20,972 (18.5%) of these patients had at least one CT. The survey response rate was 74 of 82 (90.2%). Correlation coefficients between JSE and the other scales were not statistically significant. In subset analysis, there was a trend toward a physician's number of years in practice and RTS score contributing to CT utilization for traumatic head CT. There were no significant associations between performance on any of the psychometric scales and CT utilization.
Performance on the JSE, RTS, SUS, or MFS was not predictive of risk-adjusted CT utilization in the ED. The underlying physician-based factors that mediate interphysician variation remain to be clearly identified.
急诊医师计算机断层扫描(CT)成像利用率的差异已有详细描述,但对其驱动因素知之甚少。医师共情被认为是影响CT利用率的一个潜在特征。
描述一组急诊医师的共情情况,并评估其与CT利用率的关联。我们还试图比较急诊医师在共情心理测试中的表现与先前作为CT利用率预测指标的其他心理测试中的表现。
这项横断面研究包括两个部分:1)对2013年7月至2014年6月期间一个大型医疗系统急诊科(ED)CT成像利用率数据的二次分析,以及2)使用四种心理量表对负责该成像的医师群体进行的调查研究:杰斐逊共情量表(JSE)、杰克逊人格指数的冒险性子集(RTS)、不确定性压力量表(SUS)和医疗事故恐惧量表(MFS)。该研究纳入了来自四个急诊科的数据和医师:一个城市学术急诊科、两个社区急诊科和一个独立急诊科。使用分层混合效应回归模型来评估急诊医师在这四个量表上的表现与风险调整后的CT成像利用率之间的关联。该模型纳入了针对倾向得分调整后的医师特定CT利用率,倾向得分是通过随机森林方法使用5百多个患者层面变量计算得出的,还纳入了医师人口统计学数据以及一个随机提供者效应,以考虑观察值的聚类情况。
CT差异分析包括研究期间74名符合条件的急诊医师调查对象诊治的113,517名患者;其中20,972名(18.5%)患者至少进行了一次CT检查(CT扫描)。调查回复率为82人中的74人(90.2%)。JSE与其他量表之间的相关系数无统计学意义。在亚组分析中,对于创伤性头部CT扫描,医师的执业年限和RTS得分有影响CT利用率的趋势。任何心理量表上的表现与CT利用率之间均无显著关联。
JSE、RTS、SUS或MFS上的表现不能预测急诊科风险调整后的CT利用率。尚待明确识别介导医师间差异的潜在基于医师的因素。