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Showing content from https://pubmed.ncbi.nlm.nih.gov/32853538/ below:

Initial Impact of COVID-19 on Radiology Practices: An ACR/RBMA Survey

. 2020 Nov;17(11):1525-1531. doi: 10.1016/j.jacr.2020.07.028. Epub 2020 Aug 4. Initial Impact of COVID-19 on Radiology Practices: An ACR/RBMA Survey Xiao Wu², Howard B Fleishon³, Richard Duszak Jr⁴, Ezequiel Silva 3rd⁵, Geraldine B McGinty⁶, Claire Bender⁷, Beth Williams⁸, Neale Pashley⁹, Casey J B Stengel¹⁰, Jason J Naidich¹¹, Danny Hughes¹², Pina C Sanelli¹¹

Affiliations

¹ Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut. Electronic address: ajay.malhotra@yale.edu.
² Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut.
³ Chair, ACR Board of Chancellors, American College of Radiology, Reston, Virginia; Chief of Radiology Services, Emory Johns Creek Hospital, Johns Creek, Georgia.
⁴ Vice Chair for Health Policy and Practice, Department of Radiology and Imaging Sciences, Emory University, Atlanta, Georgia.
⁵ South Texas Radiology Group, San Antonio, Texas; Department of Radiology, UT Health - San Antonio, San Antonio, Texas.
⁶ Departments of Radiology and Population Science, Weill Cornell Medicine, New York, New York.
⁷ Professor of Radiology, Mayo Clinic, Rochester, Minnesota.
⁸ Co-Chair, Data Committee, Radiology Business Management Association, Fairfax, Virginia; Executive Director, Vantage Radiology, Renton, Washington.
⁹ Co-Chair, Data Committee, Radiology Business Management Association, Fairfax, Virginia.
¹⁰ Radiology Business Management Association, Fairfax, Virginia.
¹¹ Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, New York; Feinstein Institutes for Medical Research, Manhasset, New York.
¹² Executive Director, Harvey L. Neiman Health Policy Institute, Reston, Virginia; Professor School of Economics, Director, Health Economics and Analytics Lab (HEAL), Georgia Institute of Technology, Atlanta, Georgia; Department of Radiology and Imaging Sciences, Emory University, Atlanta, Georgia.

PMID: 32853538
PMCID: PMC7402108
DOI: 10.1016/j.jacr.2020.07.028

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Initial Impact of COVID-19 on Radiology Practices: An ACR/RBMA Survey

Ajay Malhotra et al. J Am Coll Radiol. 2020 Nov.

. 2020 Nov;17(11):1525-1531. doi: 10.1016/j.jacr.2020.07.028. Epub 2020 Aug 4. Authors Ajay Malhotra¹, Xiao Wu², Howard B Fleishon³, Richard Duszak Jr⁴, Ezequiel Silva 3rd⁵, Geraldine B McGinty⁶, Claire Bender⁷, Beth Williams⁸, Neale Pashley⁹, Casey J B Stengel¹⁰, Jason J Naidich¹¹, Danny Hughes¹², Pina C Sanelli¹¹ Affiliations

¹ Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut. Electronic address: ajay.malhotra@yale.edu.
² Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut.
³ Chair, ACR Board of Chancellors, American College of Radiology, Reston, Virginia; Chief of Radiology Services, Emory Johns Creek Hospital, Johns Creek, Georgia.
⁴ Vice Chair for Health Policy and Practice, Department of Radiology and Imaging Sciences, Emory University, Atlanta, Georgia.
⁵ South Texas Radiology Group, San Antonio, Texas; Department of Radiology, UT Health - San Antonio, San Antonio, Texas.
⁶ Departments of Radiology and Population Science, Weill Cornell Medicine, New York, New York.
⁷ Professor of Radiology, Mayo Clinic, Rochester, Minnesota.
⁸ Co-Chair, Data Committee, Radiology Business Management Association, Fairfax, Virginia; Executive Director, Vantage Radiology, Renton, Washington.
⁹ Co-Chair, Data Committee, Radiology Business Management Association, Fairfax, Virginia.
¹⁰ Radiology Business Management Association, Fairfax, Virginia.
¹¹ Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, New York; Feinstein Institutes for Medical Research, Manhasset, New York.
¹² Executive Director, Harvey L. Neiman Health Policy Institute, Reston, Virginia; Professor School of Economics, Director, Health Economics and Analytics Lab (HEAL), Georgia Institute of Technology, Atlanta, Georgia; Department of Radiology and Imaging Sciences, Emory University, Atlanta, Georgia.

PMID: 32853538
PMCID: PMC7402108
DOI: 10.1016/j.jacr.2020.07.028

Item in Clipboard

Abstract

Purpose: The coronavirus disease 2019 (COVID-19) pandemic affected radiology practices in many ways. The aim of this survey was to estimate declines in imaging volumes and financial impact across different practice settings during April 2020.

Methods: The survey, comprising 48 questions, was conducted among members of the ACR and the Radiology Business Management Association during May 2020. Survey questions focused on practice demographics, volumes, financials, personnel and staff adjustments, and anticipation of recovery.

Results: During April 2020, nearly all radiology practices reported substantial (56.4%-63.7%) declines in imaging volumes, with outpatient imaging volumes most severely affected. Mean gross charges declined by 50.1% to 54.8% and collections declined by 46.4% to 53.9%. Percentage reductions did not correlate with practice size. The majority of respondents believed that volumes would recover but not entirely (62%-88%) and anticipated a short-term recovery, with a surge likely in the short term due to postponement of elective imaging (52%-64%). About 16% of respondents reported that radiologists in their practices tested positive for COVID-19. More than half (52.3%) reported that availability of personal protective equipment had become an issue or was inadequate. A majority (62.3%) reported that their practices had existing remote reading or teleradiology capabilities in place before the pandemic, and 22.3% developed such capabilities in response to the pandemic.

Conclusions: Radiology practices across different settings experienced substantial declines in imaging volumes and collections during the initial wave of the COVID-19 pandemic in April 2020. Most are actively engaged in both short- and long-term operational adjustments.

Keywords: COVID-19; imaging volume; impact; radiology practice; survey.

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Figures
Fig 1

Plots of reported percentages of…

Fig 1

Plots of reported percentages of reduction in total imaging volume against the number…

Fig 1

Plots of reported percentages of reduction in total imaging volume against the number of estimated full-time equivalents (FTEs). The best-fit linear regression line is the solid black line, with the 95% confidence interval depicted by dotted lines.

Fig 2

Plots of reported percentages of…

Fig 2

Plots of reported percentages of reduction in receipts against the number of estimated…

Fig 2

Plots of reported percentages of reduction in receipts against the number of estimated full-time equivalents (FTEs). The best-fit linear regression line is the solid black line, with the 95% confidence interval depicted by dotted lines.

Fig 3

Plots of reported percentages of…

Fig 3

Plots of reported percentages of reduction in gross charges against the number of…

Fig 3

Plots of reported percentages of reduction in gross charges against the number of estimated full-time equivalents (FTEs). The best-fit linear regression line is the solid black line, with the 95% confidence interval depicted by dotted lines.