| Literature DB >> 35277726 |
F Gomez1,2, P Reimer3, P L Pereira4, C Bent5, R L Cazzato6, M Das7, A Diamantopoulos8,9, B Zeka10, N Kaufmann11, G Makris9.
Abstract
BACKGROUND: The COVID-19 pandemic had an unprecedented impact on clinical practice and healthcare professionals. We aimed to assess how interventional radiology services (IR services) were impacted by the pandemic and describe adaptations to services and working patterns across the first two waves.Entities:
Keywords: COVID-19; Coronavirus; IR; IR services; Interventional radiology; Pandemic; Second wave
Mesh:
Year: 2022 PMID: 35277726 PMCID: PMC8916069 DOI: 10.1007/s00270-022-03090-6
Source DB: PubMed Journal: Cardiovasc Intervent Radiol ISSN: 0174-1551 Impact factor: 2.797
Fig. 1Flowchart summarising number of respondents per survey part (a). World map indicating number of respondents (percentage) per region. The colour code ranges from the highest number of respondents (dark) to the lowest number of respondents (light) (b)
Demographic information
| Respondents | % | |
|---|---|---|
| Board certified radiologist | 139 | 43 |
| Completed interventional radiology training/specialist | 136 | 42 |
| Resident | 17 | 5 |
| Interventional radiology fellow in training | 13 | 4 |
| Head/director of interventional radiology/radiology department | 9 | 3 |
| Consultant interventional radiologist | 4 | 1 |
| Chief physician/interventional radiologist | 3 | 1 |
| Radiographer | 1 | 1 |
| < 35 | 42 | 13 |
| 35–45 | 129 | 39 |
| 46–55 | 99 | 30 |
| 56+ | 57 | 17 |
| Male | 270 | 83 |
| Female | 57 | 17 |
| Central Europe | 59 | 18 |
| Southern Europe | 72 | 22 |
| Northern Europe | 34 | 10 |
| Western Europe | 38 | 12 |
| Eastern Europe | 15 | 5 |
| South America and Central America | 65 | 20 |
| North America | 13 | 4 |
| Asia | 28 | 9 |
| Oceania | 2 | < 1 |
| Africa | 1 | < 1 |
| Tertiary centre | 149 | 46 |
| Public district general hospital (> 500 beds) | 74 | 23 |
| Public district general hospital (< 500 beds) | 52 | 16 |
| Public district general hospital | 8 | 2 |
| Private hospital | 55 | 17 |
| University hospital | 4 | 1 |
Fig. 2Effect on IR services, work load and staff. Percentage of selections for the type of effect are listed for the respective service (a). Bar plots indicating percentage of selections of statements (b–c). Violin plots with type of effect on x-axis and services on y-axis
Fig. 3Effect on people and team. Violin plots for extent of effect (a, c) or satisfaction (e) on x-axis and areas on y-axis. Percentage of selections for the extent are listed for the respective areas. Heatmap of effect on people with type of effect on the y-axis and extent of effect on x-axis generated using the R heatmap function with no clustering (b). Bar plot indicating percentage of selections of statements (d)
Fig. 4Comparing the first wave of the pandemic to the second wave. Changes in working patterns and effect in emergency work and patient care during the first wave and the second wave of the pandemic. Bar plots indicating % of selections of statements for March to June 2020 (left) and September onwards (right) (a–d). Bar plot indicating percentage of selections of statements (e, f). Significant differences between categorical variables were assessed using Fisher exact test (*p ≤ 0.05, **p ≤ 0.01, ***p ≤ 0.001)
Fig. 5Returning to pre-COVID routine. Bar plots indicating percentage of selections of statements