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Multicenter Study
. 2024 Jul;21(7):1040-1048.
doi: 10.1016/j.jacr.2024.01.005. Epub 2024 Jan 12.

Actionability of Recommendations for Additional Imaging in Head and Neck Radiology

Jeffrey P Guenette  1 , Elyse Lynch  2 , Nooshin Abbasi  2 , Kathryn Schulz  2 , Shweta Kumar  2 , Sebastien Haneuse  3 , Neena Kapoor  4 , Ronilda Lacson  5 , Ramin Khorasani  6
Affiliations
Multicenter Study

Actionability of Recommendations for Additional Imaging in Head and Neck Radiology

Jeffrey P Guenette et al. J Am Coll Radiol. 2024 Jul.

Abstract

Purpose: The aims of this study were to measure the actionability of recommendations for additional imaging (RAIs) in head and neck CT and MRI, for which there is a near complete absence of best practices or guidelines; to identify the most common recommendations; and to assess radiologist factors associated with actionability.

Methods: All head and neck CT and MRI radiology reports across a multi-institution, multipractice health care system from June 1, 2021, to May 31, 2022, were retrospectively reviewed. The actionability of RAIs was scored using a validated taxonomy. The most common RAIs were identified. Actionability association with radiologist factors (gender, years out of training, fellowship training, practice type) and with trainees was measured using a mixed-effects model.

Results: Two hundred nine radiologists generated 60,543 reports, of which 7.2% (n = 4,382) contained RAIs. Only 3.9% of RAIs (170 of 4,382) were actionable. More than 60% of RAIs were for eight examinations: thyroid ultrasound (14.1%), neck CT (12.6%), brain MRI (6.9%), chest CT (6.5%), neck CT angiography (5.5%), temporal bone CT (5.3%), temporal bone MRI (5.2%), and pituitary MRI (4.6%). Radiologists >23 years out of training (odds ratio, 0.39; 95% confidence interval, 0.15-1.02; P = .05) and community radiologists (odds ratio, 0.53; 95% confidence interval, 0.22-1.31; P = .17) had substantially lower estimated odds of making actionable RAIs than radiologists <7 years out of training and academic radiologists, respectively.

Conclusions: The studied radiologists rarely made actionable RAIs, which makes it difficult to identify and track clinically necessary RAIs to timely performance. Multifaceted quality improvement initiatives including peer comparisons, clinical decision support at the time of reporting, and the development of evidence-based best practices, may help improve tracking and timely performance of clinically necessary RAIs.

Keywords: Health care quality assurance; diagnostic errors; health services research.

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Figures

Figure 1:
Figure 1:
Study Cohort Flow Chart
See this image and copyright information in PMC

References

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