| Literature DB >> 32505562 |
Nikhil Madhuripan1, Helen M C Cheung1, Li Hsia Alicia Cheong1, Anugayathri Jawahar1, Marc H Willis2, David B Larson3.
Abstract
The coronavirus disease 2019 (COVID-19) pandemic has reduced radiology volumes across the country as providers have decreased elective care to minimize the spread of infection and free up health care delivery system capacity. After the stay-at-home order was issued in our county, imaging volumes at our institution decreased to approximately 46% of baseline volumes, similar to the experience of other radiology practices. Given the substantial differences in severity and timing of the disease in different geographic regions, estimating resumption of radiology volumes will be one of the next major challenges for radiology practices. We hypothesize that there are six major variables that will likely predict radiology volumes: (1) severity of disease in the local region, including potential subsequent "waves" of infection; (2) lifting of government social distancing restrictions; (3) patient concern regarding risk of leaving home and entering imaging facilities; (4) management of pent-up demand for imaging delayed during the acute phase of the pandemic, including institutional capacity; (5) impact of the economic downturn on health insurance and ability to pay for imaging; and (6) radiology practice profile reflecting amount of elective imaging performed, including type of patients seen by the radiology practice such as emergency, inpatient, outpatient mix and subspecialty types. We encourage radiology practice leaders to use these and other relevant variables to plan for the coming weeks and to work collaboratively with local health system and governmental leaders to help ensure that needed patient care is restored as quickly as the environment will safely permit.Entities:
Keywords: COVID-19; utilization; volumes
Mesh:
Year: 2020 PMID: 32505562 PMCID: PMC7262523 DOI: 10.1016/j.jacr.2020.05.026
Source DB: PubMed Journal: J Am Coll Radiol ISSN: 1546-1440 Impact factor: 5.532
Fig 1Newly reported coronavirus disease 2019 (COVID-19) cases every 5 days in United States across a sample of illustrative states. (Based on data from CDC [5]).
Percentage of baseline imaging volumes by subspecialty and modality
| Exam Type By Subspecialty, Modality, Patient Status | Percent of Baseline Volumes |
|---|---|
| Radiology subspecialty | |
| Body imaging | 51 |
| Breast imaging | 28 |
| CV/thoracic imaging | 60 |
| IR and NIR | 57 |
| MSK imaging | 27 |
| Neuro-imaging | 52 |
| Nuclear medicine | 44 |
| Modality | |
| Radiography | 49 |
| CT | 55 |
| MRI | 44 |
| Ultrasound | 40 |
| Fluoroscopy | 35 |
| Mammography | 20 |
| Nuclear medicine | 24 |
| PET | 63 |
| Patient status | |
| Emergency department | 64 |
| Inpatient | 75 |
| Outpatient | 31 |
| All examinations | 46 |
Volumes correspond to examinations performed between March 30 and April 26, 2020. Baseline volumes correspond to the number of examinations performed between January 6 and February 28, 2020.
CV = cardiovascular; IR = interventional radiology; MSK = musculoskeletal; NIR = neuro-interventional radiology.
Fig 2Imaging volumes as a percentage of baseline volumes. Inpatient, outpatient, emergency department (ED), and total volumes at a single institution are depicted. Active deferral of elective examinations began on March 17, 2020. Resumption of examination scheduling began April 27, 2020.
Fig 3Weekly imaging volumes from January to April 2020. Volumes are shown by radiology subspecialty in (A) and by modality in (B). County stay-at-home orders were issued in week 11. The governor announced plans for resuming delayed medical care in week 16. Our practice resumed normal scheduling of patients beginning week 17. CV = cardiovascular; Fluoro = fluoroscopy; IR = interventional radiology; Mammo = mammography; MSK = musculoskeletal; Neuro = neuro-imaging; NIR = neuro-interventional radiology; Nuc Med = nuclear medicine; US = ultrasound.
Variables affecting rate of imaging volume recovery
| Variable | Description | High Impact | Low Impact | Comments |
|---|---|---|---|---|
| Severity of disease in the local region | Intensity and duration of local disease burden | High disease burden causing greater loss of and delayed return to normal imaging volumes (10 wk of daily new cases >10 per 100,000 population, eg, New York, New Jersey, Massachusetts [ | Low disease burden with less initial loss of and more rapid return to normal imaging volumes (peak daily new cases <10 per 100,000, eg, New Hampshire, California, Wyoming [ | Subsequent waves likely to have similar effects, though possibly to lesser degree |
| Lifting of government social distancing restrictions | Rapidity of lifting of social distancing restrictions for medical imaging | Delayed lifting of restrictions with delayed return to normal imaging volumes (restrictions on medical care lifted >8 wk after peak) | Prompt lifting of restrictions with more rapid return to normal imaging volumes (restrictions on medical care lifted <4 wk after peak) | May be related to severity of disease and other geopolitical factors |
| Patient concern | Public perception of leaving home or entering a health care facility | High concern with patients deciding to postpone or forgo care, leading to delayed return to normal imaging volumes (>50% of people staying at home [ | Low concern with rapid return to normal imaging volumes (<35% of people staying at home [ | May require multichannel communication to educate patients on safety protocols |
| Management of pent-up demand for imaging | Ability of the medical system to promptly re-order, reschedule, and perform postponed imaging examinations | Delays in re-ordering, rescheduling, and performing examinations to delayed return to normal volumes (full scheduling restored and postponed examinations rescheduled greater than 8 wk after lifting of social distancing restrictions) | Rapid rescheduling and performance of examinations, leading to an initial increase over normal imaging volumes before returning to baseline (full scheduling restored and postponed examinations rescheduled within 3 wk of lifting of social distancing restrictions) | Can have a positive impact on volumes if examinations can be quickly re-ordered and rescheduled and efficiently performed, while accounting for enhanced infection control protocols |
| Impact of economic downturn | Decreased ability to pay for health care, including unemployment, loss of insurance | High, widespread, and sustained unemployment, leading to delayed return to normal imaging volumes (real unemployment rate of 25%, lasting >6 months [ | Rapid improvement in economic outlook leading to more rapid return to normal imaging volumes (real unemployment rate of <8% within 6 months, from prepandemic rate of 4.4% [ | Insurance prior authorization requirements may also affect rate of rate of recovery and intermediate-term volumes |
| Radiology practice profile | Nature of examinations performed and availability of resources | Radiology practices with greater proportion of elective imaging, leading to greater loss of and delayed return to normal imaging volumes (>50% elective examinations) | Radiology practices with smaller proportion of elective imaging, leading to less initial loss of and more rapid return to normal imaging volumes (<20% elective examinations) | Although not an environmental variable, this factor will likely substantially affect radiology practices |
The effect of each variable for each region is hypothesized to be on a spectrum between high-impact and low-impact scenarios. The overall impact on imaging volumes is likely to represent a cumulative effect of all variables. Values that may represent high-impact and low-impact scenarios based on national data, as available, or based on our local experience are included in parentheses.
Fig 4Illustration of how key variables may affect imaging volumes. For each variable, two scenarios are presented: a low-impact scenario (associated with higher imaging volumes, in blue) and a high-impact scenario (associated with lower imaging volumes, in red). (See Table 2 for further explanation.) (A) Effect of severity of disease in the local region, (B) effect of lifting of government social distancing restrictions, (C) effects of patient concern, (D) management of pent-up demand for imaging, (E) impact of the economic downturn, and (F) effect of the radiology practice profile.