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应对评估医生层面筛查表现的挑战:以乳腺钼靶检查为例。

Addressing the challenge of assessing physician-level screening performance: mammography as an example.

作者信息

Burnside Elizabeth S, Lin Yunzhi, Munoz del Rio Alejandro, Pickhardt Perry J, Wu Yirong, Strigel Roberta M, Elezaby Mai A, Kerr Eve A, Miglioretti Diana L

机构信息

Department of Radiology, University of Wisconsin School of Medicine and Public Health, E3/311 Clinical Science Center, Madison, Wisconsin, United States of America ; Department of Biostatistics and Medical Informatics, University of Wisconsin, Madison Wisconsin, United States of America.

Department of Biostatistics and Medical Informatics, University of Wisconsin, Madison Wisconsin, United States of America.

出版信息

PLoS One. 2014 Feb 21;9(2):e89418. doi: 10.1371/journal.pone.0089418. eCollection 2014.

Abstract

BACKGROUND

Motivated by the challenges in assessing physician-level cancer screening performance and the negative impact of misclassification, we propose a method (using mammography as an example) that enables confident assertion of adequate or inadequate performance or alternatively recognizes when more data is required.

METHODS

Using established metrics for mammography screening performance-cancer detection rate (CDR) and recall rate (RR)-and observed benchmarks from the Breast Cancer Surveillance Consortium (BCSC), we calculate the minimum volume required to be 95% confident that a physician is performing at or above benchmark thresholds. We graphically display the minimum observed CDR and RR values required to confidently assert adequate performance over a range of interpretive volumes. We use a prospectively collected database of consecutive mammograms from a clinical screening program outside the BCSC to illustrate how this method classifies individual physician performance as volume accrues.

RESULTS

Our analysis reveals that an annual interpretive volume of 2770 screening mammograms, above the United States' (US) mandatory (480) and average (1777) annual volumes but below England's mandatory (5000) annual volume is necessary to confidently assert that a physician performed adequately. In our analyzed US practice, a single year of data uniformly allowed confident assertion of adequate performance in terms of RR but not CDR, which required aggregation of data across more than one year.

CONCLUSION

For individual physician quality assessment in cancer screening programs that target low incidence populations, considering imprecision in observed performance metrics due to small numbers of patients with cancer is important.

摘要

背景

鉴于评估医生层面癌症筛查表现存在挑战以及错误分类的负面影响,我们提出一种方法(以乳腺钼靶检查为例),该方法能够可靠地判定表现是否充分或不充分,或者在需要更多数据时予以识别。

方法

利用既定的乳腺钼靶筛查表现指标——癌症检出率(CDR)和召回率(RR)——以及来自乳腺癌监测协会(BCSC)的观察基准,我们计算出要以95%的置信度确定一名医生的表现达到或高于基准阈值所需的最小病例量。我们以图形方式展示在一系列解读病例量范围内,可靠判定表现充分所需的最低观察到的CDR和RR值。我们使用一个前瞻性收集的来自BCSC之外的临床筛查项目的连续乳腺钼靶检查数据库,来说明随着病例量的增加该方法如何对个体医生的表现进行分类。

结果

我们的分析表明,每年解读2770例筛查乳腺钼靶检查,高于美国的强制性年病例量(480例)和平均年病例量(1777例)但低于英国的强制性年病例量(�000例),对于可靠判定一名医生表现充分而言是必要的。在我们分析的美国实践中,单一年度的数据一致地能够可靠判定在RR方面表现充分,但在CDR方面不行,后者需要汇总超过一年的数据。

结论

对于针对低发人群的癌症筛查项目中的个体医生质量评估,考虑到由于癌症患者数量少导致观察到的表现指标存在不精确性很重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f12b/3931752/3b3700081069/pone.0089418.g001.jpg

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