| Literature DB >> 33123688 |
Alexander Heinze1,2, Paolo Umari3, Mario Basulto-Martínez4,5, Rodrigo Suárez-Ibarrola6, Evangelos Liatsikos7, Jens Rassweiler8, Selcuk Guven9, Ali S Gözen8.
Abstract
BACKGROUND: The unexpected coronavirus disease 2019 (COVID-19) pandemic has spread worldwide rapidly, developing into a global health crisis. At the same time, it has seriously impacted the daily activities in all the fields of urology.Entities:
Keywords: COVID-19; Education; Pandemics; Severe acute respiratory syndrome coronavirus 2; Survey; Urology
Year: 2020 PMID: 33123688 PMCID: PMC7430276 DOI: 10.1016/j.euros.2020.08.001
Source DB: PubMed Journal: Eur Urol Open Sci ISSN: 2666-1683
List of centers and countries involved
| No. | Country | No. of responders |
|---|---|---|
| 1 | Austria | 5 |
| 2 | Belgium | 4 |
| 3 | Bosnia and Herzegovina | 3 |
| 4 | Bulgaria | 1 |
| 5 | Czech Republic | 1 |
| 6 | France | 7 |
| 7 | Germany | 12 |
| 8 | Greece | 6 |
| 9 | Italy | 16 |
| 10 | Macedonia | 1 |
| 11 | Montenegro | 1 |
| 12 | Netherlands | 3 |
| 13 | Poland | 2 |
| 14 | Portugal | 3 |
| 15 | Romania | 2 |
| 16 | Russia | 7 |
| 17 | Serbia | 1 |
| 18 | Spain | 9 |
| 19 | Switzerland | 1 |
| 20 | Turkey | 13 |
| 21 | Ukraine | 2 |
| 22 | UK | 7 |
| Overall | 107 |
Demographic information
| Demographic data | |
|---|---|
| No. of responders | 107 |
| Participating countries, | 24 |
| Time to respond (s), SD (range) | 480 ± 222 (125–976) |
| Age (yr), SD (range) | 45 ± 9 (30–71) |
| Gender, | |
| Male | 100 (93.46) |
| Female | 7 (6.54) |
| Current position, | |
| Consultant (senior) | 46 (42.99) |
| Head of department | 32 (29.91) |
| Board-certified urologist (junior) | 15 (14.02) |
| Resident | 5 (4.67) |
| Clinical fellow | 5 (4.67) |
| Research fellow | 2 (1.87) |
| MSc/PhD student | 2 (1.87) |
| Hospital type, | |
| University hospital | 68 (63.55) |
| Public hospital | 27 (25.23) |
| Private clinic/hospital | 26 (24.30) |
| Tertiary center | 10 (9.35) |
| Government-based research hospitals | 2 (1.87) |
SD = standard deviation.
Fig. 1Impact of COVID-19 on academic, personal, and social aspects. COVID-19 = coronavirus disease 2019.
Summary of hospitals’ clinical activities during COVID-19
| Hospital data | |
|---|---|
| COVID-19 hospital's bed occupancy (%) | 37.01 |
| Urology bed reduction (%) | 48.63 |
| Modifications in clinical activity, | |
| Yes | 58 (54.21) |
| No | 45 (42.06) |
| Elective procedure cancellation, | |
| Yes | 91 (85.05) |
| No | 16 (14.95) |
| % | 84 |
| Main reason, | |
| Department assigned to COVID-19 pts | 34 (31.78) |
| Hospital management prohibition | 67 (62.62) |
| Patient's decision | 38 (35.51) |
| Personal decision | 22 (20.56) |
| Other | 13 (12.15) |
| Follow recommendation/guidelines, | |
| Yes—international recommendations | 18 (19.78) |
| Yes—internal protocols | 73 (80.22) |
| No | 0 (0) |
| Patients’ preoperative pathway, | |
| COVID-19 test performed routinely | 44 (41.12) |
| COVID-19 test in suspected cases | 45 (42.06) |
| Chest CT performed routinely | 12 (11.21) |
| Chest CT in suspected cases | 22 (20.56) |
| No | 19 (17.76) |
| Minimally invasive surgery, | |
| Yes—malignant cases | 69 (64.49) |
| Yes—benign cases | 11 (10.28) |
| No | 38 (35.51) |
| Insufflation system, | |
| With integrated smoke evacuation | 19 (17.76) |
| With intelligent flow system | 23 (21.50) |
| Standard 2-way system | 36 (33.64) |
| Concerns about bed occupancy, | |
| Yes | 76 (71.03) |
| No | 31 (28.97) |
| Shortage of medical staff, | |
| Yes—due to sickness | 31 (28.97) |
| Yes—increased workload | 27 (25.23) |
| No | 51 (47.66) |
| Operating COVID-19–positive patients, | |
| Yes—elective and urgent | 9 (8.41) |
| Yes—only urgent cases | 62 (57.94) |
| No | 36 (33.64) |
| Specially equipped theaters, | |
| Yes | 62 (57.94) |
| No | 36 (33.64) |
| PPE availability, | |
| Every time | 18 (16.82) |
| Almost every time | 49 (45.79) |
| Occasionally | 29 (27.10) |
| Almost never | 7 (6.54) |
| Never | 4 (3.74) |
| PPE usage, | |
| Every time | 42 (39.25) |
| Almost every time | 37 (34.58) |
| Occasionally | 24 (22.43) |
| Almost never | 2 (1.87) |
| Never | 2 (1.87) |
| Recruited as a front-line provider, | |
| Yes | 34 (31.78) |
| No | 73 (68.22) |
COVID-19 = coronavirus disease 2019; CT = computed tomography; PPE = personal protective equipment; pts = patients.
Scientific activities and quality of life (QoL) data
| Scientific activities and QoL data | |
|---|---|
| Negative impact on scientific/academic/educational activities, | |
| Yes | 78 (72.90) |
| Undecided | 11 (10.28) |
| No | 18 (16.82) |
| Time dedicated to academic activity (h/wk) | |
| Before COVID-19 | 9.9.2 |
| After COVID-19 | 4.78 |
| Remotely conducted meeting/grand rounds/lectures, | |
| Yes | 75 (70.09) |
| No | 32 (29.91) |
| Scientific meeting/congress cancellation, | |
| Yes | 89 (83.18) |
| No | 18 (16.82) |
| Abstract presentation/lecture/workshop scheduled, | |
| Yes | 79 (88.76) |
| No | 10 (11.24) |
| Inapplicable | 82 (77) |
| Negative impact on QoL, | |
| Yes | 88 (82.25) |
| Undecided | 6 (5.61) |
| No | 13 (12.15) |
| Impact on country's healthcare system, | |
| Severe | 32 (29.91) |
| Major | 52 (48.60) |
| Moderate | 15 (14.02) |
| Minor | 6 (5.61) |
| Insignificant | 2 (1.87) |
COVID-19 = coronavirus disease 2019.