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急诊科影像学的应用:医生对其变化的影响有限。

Use of imaging in the emergency department: physicians have limited effect on variation.

机构信息

School of Health Policy and Management, York University, Toronto, Ontario, Canada.

出版信息

Radiology. 2013 Sep;268(3):779-89. doi: 10.1148/radiol.13130972. Epub 2013 Jun 25.

Abstract

PURPOSE

To quantify interphysician variation in imaging use during emergency department (ED) visits and examine the contribution of factors to this variation at the patient, visit, and physician level.

MATERIALS AND METHODS

This study was HIPAA compliant and approved by the institutional review board of Partners Healthcare System (Boston, Mass), with waiver of informed consent. In this retrospective study of 88 851 consecutive ED visits during 2011 at a large urban teaching hospital, a hierarchical logistic regression model was used to identify multiple predictors for the probability that low- or high-cost imaging would be ordered during a given visit. Physician-specific random effects were estimated to articulate (by odds ratio) and quantify (by intraclass correlation coefficient [ICC]) interphysician variation.

RESULTS

Patient- and visit-level factors found to be statistically significant predictors of imaging use included measures of ED busyness, prior ED visit, referral source to the ED, and ED arrival mode. Physician-level factors (eg, sex, years since graduation, annual workload, and residency training) did not correlate with imaging use. The remaining amount of interphysician variation was very low (ICC, 0.97% for low-cost imaging; ICC, 1.07% for high-cost imaging). These physician-specific odds ratios of imaging estimates were moderately reliable at 0.78 (95% confidence interval [CI]: 0.77, 0.79) for low-cost imaging and 0.76 (95% CI: 0.74, 0.78) for high-cost imaging.

CONCLUSION

After careful and comprehensive case-mix adjustment by using hierarchical logistic regression, only about 1% of the variability in ED imaging utilization was attributable to physicians.

摘要

目的

定量分析急诊科就诊过程中影像检查的应用在医师间的差异,并探讨患者、就诊和医师层面的因素对此差异的影响。

材料与方法

本研究符合 HIPAA 规定,并获得了波士顿 Partners Healthcare System 机构审查委员会的批准(豁免知情同意)。在这项对一家大型城市教学医院 2011 年连续 88851 例急诊科就诊的回顾性研究中,采用分层逻辑回归模型来确定在特定就诊中低或高成本影像检查的概率的多个预测因素。估计医师特定的随机效应,以(用优势比)阐明和(用组内相关系数 [ICC])量化医师间的差异。

结果

患者和就诊层面的因素被发现是影像应用的统计学显著预测因素,包括急诊科繁忙程度、既往急诊科就诊、急诊科就诊来源和就诊到达模式的相关指标。医师层面的因素(如性别、毕业年限、年工作量和住院医师培训)与影像应用无相关性。医师间差异的剩余量非常低(低费用影像的 ICC 为 0.97%;高费用影像的 ICC 为 1.07%)。这些医师特定的影像估计比值比在低费用影像为 0.78(95%置信区间 [CI]:0.77,0.79),在高费用影像为 0.76(95% CI:0.74,0.78),具有中度可靠性。

结论

在使用分层逻辑回归进行仔细和全面的病例组合调整后,只有约 1%的急诊科影像应用的变异性归因于医师。

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