Radiology Practice Environment: Options, Variations, and Differences—A Report of the ACR Commission on Human Resources

Dutton, Sharon C.; Sze, Gordon; Lund, Philip L.; Bluth, Edward I.

doi:10.1016/j.jacr.2013.12.025

Cited by 11 publications

(3 citation statements)

References 15 publications

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“…Additionally, recent changes in the radiology workforce challenge the traditional concept of generalists interpreting mammography in community practice (27). Increasing breast imaging fellowships and growing demands for subspecialization may have increased breast imaging specialists in community practice (28,29). We also identified higher utilization in Suburban and West census regions.…”

Section: Discussionmentioning

confidence: 99%

ACR BI-RADS Assessment Category 4 Subdivisions in Diagnostic Mammography: Utilization and Outcomes in the National Mammography Database

Elezaby

Bhargavan-Chatfield

et al. 2018

Radiology

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Purpose To determine the utilization and positive predictive value (PPV) of the American College of Radiology (ACR) Breast Imaging Data and Reporting System (BI-RADS) category 4 subdivisions in diagnostic mammography in the National Mammography Database (NMD). Materials and Methods This study involved retrospective review of diagnostic mammography data submitted to the NMD from January 1, 2008 to December 30, 2014. Utilization rates of BI-RADS category 4 subdivisions were compared by year, facility (type, location, census region), and examination (indication, finding type) characteristics. PPV3 (positive predictive value for biopsies performed) was calculated overall and according to category 4 subdivision. The χ test was used to test for significant associations. Results Of 1 309 950 diagnostic mammograms, 125 447 (9.6%) were category 4, of which 33.3% (41 841 of 125 447) were subdivided. Subdivision utilization rates were higher (P < .001) in practices that were community, suburban, or in the West; for examination indication of prior history of breast cancer; and for the imaging finding of architectural distortion. Of 41 841 category 4 subdivided examinations, 4A constituted 55.6% (23 258 of 41 841) of the examinations; 4B, 31.8% (13 302 of 41 841) of the examinations; and 4C, 12.6% (5281 of 41 841) of the examinations. Pathologic outcomes were available in 91 563 examinations, and overall category 4 PPV3 was 21.1% (19 285 of 91 563). There was a statistically significant difference in PPV3 according to category 4 subdivision (P < .001): The PPV of 4A was 7.6% (1274 of 16 784), that of 4B was 22% (2317 of 10 408), and that of 4C was 69.3% (2839 of 4099). Conclusion Although BI-RADS suggests their use, subdivisions were utilized in the minority (33.3% [41 841 of 125 447]) of category 4 diagnostic mammograms, with variability based on facility and examination characteristics. When subdivisions were used, PPV3s were in BI-RADS-specified malignancy ranges. This analysis supports the use of subdivisions in broad practice and, given benefits for patient care, should motivate increased utilization. RSNA, 2018 Online supplemental material is available for this article.

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Section: Discussionmentioning

confidence: 99%

ACR BI-RADS Assessment Category 4 Subdivisions in Diagnostic Mammography: Utilization and Outcomes in the National Mammography Database

Elezaby

Bhargavan-Chatfield

et al. 2018

Radiology

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“…In addition, in this type of work, previous examinations for comparative reports are often inaccessible, possibly leading to a more simplified report which requires less analysis time. There is also a trend toward lower pay for teleradiology reports, which could lead to higher productivity at the risk of commoditization of the service provided, as well as greater exposure of professionals to physical and mental burnout (15) .…”

Section: Discussionmentioning

confidence: 99%

Estimating the productivity of radiologists in Brazil: the search for a benchmark

et al. 2020

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Objective: To determine the average productivity of radiologists, as measured by number of reports issued per 6-h shift, evaluating variables that could affect the results. Materials and Methods: This was a study utilizing an online questionnaire sent to radiologists affiliated with the Brazilian College of Radiology and Diagnostic Imaging. The questions were related to the demographic profile and professional practice characteristics (form of remuneration, primary imaging method employed, and subspecialty) of the radiologists, as well as their individual productivity (average personal productivity) and the productivity considered reasonable in a 6-h shift. The association between productivity and the practice characteristics of the radiologists was determined by using Poisson regression to calculate the prevalence ratio. Results: A total of 510 radiologists completed the questionnaire. The great majority of the respondents (84%) reported that their remuneration is directly related to their productivity. The productivity varied according to the subspecialty, work environment, and remuneration model. Conclusion: We demonstrated that the productivity of radiologists is associated with the characteristics of their employment. We hope that this study will encourage other studies aimed at evaluating the productive capacity of the radiologists in Brazil, addressing the various functions they perform in their daily routine, including activities other than issuing reports.

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“…Still, there is the problem of fairness. For the field to be leveled, we would need either an upturn in the radiology job market that pressures private practices to offer partnership track positions or a trend toward hospital-based employment [4] that brings the private practice model, and with it the two-tiered system, to an end.…”

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confidence: 99%

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Journal of the American College of Radiology

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Radiology Practice Environment: Options, Variations, and Differences—A Report of the ACR Commission on Human Resources

Cited by 11 publications

References 15 publications

ACR BI-RADS Assessment Category 4 Subdivisions in Diagnostic Mammography: Utilization and Outcomes in the National Mammography Database

ACR BI-RADS Assessment Category 4 Subdivisions in Diagnostic Mammography: Utilization and Outcomes in the National Mammography Database

Estimating the productivity of radiologists in Brazil: the search for a benchmark

Are We Spain?

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