| Literature DB >> 35144030 |
Karashash Menlibayeva1, Aisha Babi2, Yerbol Makhambetov3, Serik Akshulakov3.
Abstract
BACKGROUND: The practice of neurosurgery has been profoundly affected by the coronavirus disease 2019 (COVID-19) pandemic in Kazakhstan. Many elective surgeries were postponed or canceled, which resulted in difficulties in hospitalization. In the present study, we aimed to describe the effects of COVID-19 on neurosurgical practice and to determine whether a discrepancy was present in the effects between metropolises and regional cities in Kazakhstan.Entities:
Keywords: COVID-19; Kazakhstan; Neurosurgery; Pandemic
Mesh:
Year: 2022 PMID: 35144030 PMCID: PMC8820954 DOI: 10.1016/j.wneu.2022.02.011
Source DB: PubMed Journal: World Neurosurg ISSN: 1878-8750 Impact factor: 2.210
Demographic Characteristics of the Participants
| Variable | Metropolises ( | Regional Cities ( | All ( | |
|---|---|---|---|---|
| Age (years) | 38.36 ± 2.05 | 39.57 ± 1.74 | 0.66 | 38.95 ± 8.77 |
| Subspecialty | 0.08 | |||
| Unspecified | 3 (13.64) | 8 (38.10) | 11 (25.58) | |
| Pediatric neurosurgery | 3 (13.64) | 6 (28.57) | 9 (20.93) | |
| Neuro-oncology | 1 (4.55) | 0 (0) | 1 (2.33) | |
| Spinal neurosurgery | 8 (36.36) | 3 (14.29) | 11 (25.58) | |
| Neurotrauma | 0 (0) | 1 (4.76) | 1 (2.33) | |
| Vascular neurosurgery | 7 (31.82) | 3 (14.29) | 10 (23.26) | |
| Sex | 0.518 | |||
| Male | 20 (90.91) | 20 (95.24) | 40 (93.02) | |
| Female | 2 (9.09) | 1 (4.75) | 3 (6.98) | |
| No. of beds | 0.86 | |||
| ≤25 | 12 (54.55) | 12 (57.14) | 24 (55.81) | |
| >26 | 10 (45.45) | 9 (42.86) | 19 (44.19) |
Data presented as mean ± standard deviation or n (%).
Effect of COVID-19 Pandemic on Neurosurgery Practice
| Variable | Metropolises ( | Regional Cities ( | All ( | |
|---|---|---|---|---|
| Increased telemedicine use (%) | 38.19 ± 34.79 | 21.19 ± 34.85 | 0.12 | 29.69 ± 35.45 |
| Attended online educational courses | 0.001 | |||
| No | 7 (31.82) | 17 (80.95) | 24 (55.81) | |
| Yes | 15 (68.18) | 4 (19.05) | 19 (44.19) | |
| Performed urgent surgery on COVID-19–positive patients | <0.001 | |||
| No | 17 (77.27) | 5 (23.81) | 22 (51.16) | |
| Yes | 5 (22.73) | 16 (76.19) | 21 (48.84) | |
| Performed elective surgery on COVID-19–positive patients | 1.00 | |||
| No | 20 (90.91) | 20 (9.09) | 40 (93.02) | |
| Yes | 2 (9.09) | 1 (4.76) | 3 (6.98) | |
| Enough PPE at workplace | 0.67 | |||
| No | 6 (6.7) | 7 (6.3) | 13 (30.23) | |
| Yes | 16 (15.3) | 14 (14.7) | 30 (69.77) | |
| Tested for COVID-19 | 0.49 | |||
| No | 7 (31.82) | 4 (19.05) | 11 (25.58) | |
| Yes | 15 (68.18) | 17 (80.95) | 32 (74.42) | |
| COVID-19 test result | 0.74 | |||
| NA | 7 (31.82) | 6 (28.57) | 13 (30.23) | |
| Negative | 8 (36.36) | 10 (47.62) | 18 (41.86) | |
| Positive | 7 (31.82) | 5 (23.81) | 12 (27.91) | |
| Decrease in consultations (%) | 71.02 ± 21.67 | 59.49 ± 33.32 | 0.18 | 65.34 ± 28.24 |
| Decreased consultation group | 0.09 | |||
| ≤50% | 2 (9.09) | 9 (42.86) | 11 (25.58) | |
| >50% to ≤75% | 10 (45.45) | 5 (23.81) | 15 (34.88) | |
| >75% to ≤84% | 5 (22.73) | 4 (19.09) | 9 (20.93) | |
| >84% | 5 (22.73) | 3 (14.29) | 8 (18.6) | |
| Decrease in surgery (%) | 56.02 ± 26.74 | 57.11 ± 26.57 | 0.89 | 56.55 ± 26.34 |
| Decreased surgery group | 0.66 | |||
| <50% | 5 (22.73) | 4 (19.05) | 9 (20.93) | |
| ≥50% to <54% | 5 (22.73) | 8 (38.10) | 13 (30.23) | |
| ≥54% to <75% | 6 (27.27) | 3 (14.29) | 9 (20.93) | |
| ≥75% | 6 (27.27) | 6 (28.57) | 12 (27.91) | |
| Changes in salary | 1.00 | |||
| Left without salary | 4 (18.18) | 3 (14.29) | 7 (16.28) | |
| Reduced salary | 9 (40.91) | 9 (42.86) | 18 (41.86) | |
| Salary stayed the same | 9 (40.91) | 9 (42.86) | 18 (41.86) |
COVID-19, coronavirus disease 2019.
Data presented as mean ± standard deviation or n (%).
Figure 1Most frequent surgeries performed during the quarantine. CSF, cerebrospinal fluid.