Copyright
©The Author(s) 2022.
World J Orthop. Oct 18, 2022; 13(10): 921-931
Published online Oct 18, 2022. doi: 10.5312/wjo.v13.i10.921
Published online Oct 18, 2022. doi: 10.5312/wjo.v13.i10.921
Table 1 Timelines for each phase evaluated
Phase | Description | Dates | Days |
Phase 0 | Pre-lockdown | 1st January - 22nd March | 81 |
Phase 1 | Lockdown | 23rd March - 31st May | 70 |
Phase 2 | Post-lockdown | 1st June - 30st September | 122 |
Phase 3 | To year end | 1st October - 31st December | 92 |
Table 2 Subspecialty trauma breakdown (2018-2020)
Subspecialty | Year | Phase 0 | Phase 1 | Phase 2 | Phase 3 | Total |
Pre-lockdown | Lockdown | Post-lockdown | To year end | |||
Hip | 2018 | 183 (39.8%) | 131 (37.9%) | 311 (37.0%) | 118 (39.6%) | 743 (38.2%) |
2019 | 172 (39.3%) | 146 (41.6%) | 339 (40.4%) | 139 (45.4%) | 796 (41.2%) | |
2020 | 163 (41.3%) | 146 (48.8%) | 291 (36.6%) | 76 (35.3%) | 676 (39.7%) | |
Knee | 2018 | 26 (5.7%) | 14 (4.0%) | 47 (5.6%) | 16 (5.4%) | 103 (5.3%) |
2019 | 37 (8.4%) | 24 (6.8%) | 53 (6.3%) | 27 (8.8%) | 141 (7.3%) | |
2020 | 36 (9.1%) | 16 (5.4%) | 55 (6.9%) | 7 (3.3%) | 114 (6.7%) | |
Foot & ankle | 2018 | 69 (15.0%) | 60 (17.3%) | 120 (14.3%) | 45 (15.1%) | 294 (15.1%) |
2019 | 65 (14.8%) | 47 (13.4%) | 102 (12.2%) | 39 (12.7%) | 253 (13.1%) | |
2020 | 45 (11.4%) | 26 (8.7%) | 98 (12.3%) | 36 (16.7%) | 205 (12.0%) | |
Hand & wrist | 2018 | 70 (15.2%) | 53 (15.3%) | 148 (17.6%) | 51 (17.1%) | 322 (16.6%) |
2019 | 58 (13.2%) | 54 (15.4%) | 149 (17.8%) | 33 (10.8%) | 294 (15.2%) | |
2020 | 60 (15.2%) | 44 (14.7%) | 147 (18.5%) | 42 (19.5%) | 293 (17.2%) | |
Shoulder | 2018 | 27 (5.9%) | 25 (7.2%) | 45 (5.4%) | 20 (6.7%) | 117 (6.0%) |
2019 | 30 (6.8%) | 22 (6.3%) | 47 (5.6%) | 21 (6.9%) | 120 (6.2%) | |
2020 | 27 (6.8%) | 13 (4.3%) | 52 (6.5%) | 21 (9.8%) | 113 (6.6%) | |
Elbow | 2018 | 32 (7.0%) | 32 (9.2%) | 87 (10.3%) | 16 (5.4%) | 167 (8.6%) |
2019 | 29 (6.6%) | 19 (5.4%) | 62 (7.4%) | 12 (3.9%) | 122 (6.3%) | |
2020 | 24 (6.1%) | 21 (7.0%) | 75 (9.4%) | 15 (7.0%) | 135 (7.9%) | |
Complex multi-site | 2018 | 16 (3.5%) | 8 (2.3%) | 16 (1.9%) | 7 (2.3%) | 47 (2.4%) |
2019 | 4 (0.9%) | 7 (2.0%) | 14 (1.7%) | 7 (2.3%) | 32 (1.7%) | |
2020 | 4 (1.0%) | 1 (0.3%) | 9 (1.1%) | 3 (1.4%) | 17 (1.0%) | |
Polytrauma | 2018 | 37 (8.0%) | 23 (6.6%) | 67 (8.0%) | 25 (8.4%) | 152 (7.8%) |
2019 | 43 (9.8%) | 32 (9.1%) | 73 (8.7%) | 28 (9.2%) | 176 (9.1%) | |
2020 | 36 (9.1%) | 32 (10.7%) | 68 (8.6%) | 15 (7.0%) | 151 (8.9%) |
Table 3 Patient demographics, length of stay, comorbidity indices and theatre parameters for 2018
Phase 0 (n = 709) | Phase 1 (n = 571) | Phase 2 (n = 1363) | Phase 3 (n = 486) | Total (n = 3129) | |
mean ± SD | |||||
Age at injury | 61.23 ± 22.40 | 56.40 ± 24.04 | 57.52 ± 24.36 | 59.06 ± 23.79 | 58.39 ± 23.83 |
Length of spell (d) | 8.39 ± 10.31 | 6.84 ± 8.57 | 6.76 ± 10.19 | 7.02 ± 9.45 | 7.18 ± 9.84 |
Charlson Comorbidity Index | 0.72 ± 1.31 | 0.65 ± 1.24 | 0.68 ± 1.26 | 0.60 ± 1.21 | 0.67 ± 1.26 |
Elixhauser Comorbidity Index | 1.19 ± 1.39 | 1.09 ± 1.36 | 1.14 ± 1.38 | 1.06 ± 1.31 | 1.13 ± 1.37 |
Hours to surgery | 29.24 ± 50.75 | 31.46 ± 48.29 | 34.72 ± 91.27 | 26.22 ± 52.95 | 31.54 ± 71.10 |
Time in theatre | 98.59 ± 58.34 | 92.86 ± 48.23 | 94.33 ± 46.30 | 95.49 ± 48.66 | 95.23 ± 50.04 |
Time in theatre/recovery | 61.23 ± 22.40 | 56.40 ± 24.04 | 57.52 ± 24.36 | 59.06 ± 23.79 | 58.39 ± 23.83 |
Sex: Female | 383 ± 54.0% | 296 ± 51.8% | 726 ± 53.3% | 249 ± 51.2% | 1654 ± 52.9% |
Sex: Male | 326 ± 46.0% | 275 ± 48.2% | 637 ± 46.7% | 237 ± 48.8% | 1475 ± 47.1% |
Table 4 Patient demographics, length of stay, comorbidity indices and theatre parameters for 2019
Phase 0 (n = 664) | Phase 1 (n = 563) | Phase 2 (n = 1315) | Phase 3 (n = 471) | Total (n = 3013) | |
mean ± SD | |||||
Age at injury | 58.89 ± 24.03 | 60.66 ± 23.17 | 58.66 ± 23.95 | 61.11 ± 22.98 | 59.47 ± 23.68 |
Length of spell (d) | 7.30 ± 8.05 | 7.50 ± 9.90 | 6.67 ± 8.60 | 8.01 ± 10.88 | 7.18 ± 9.14 |
Charlson Comorbidity Index | 0.71 ± 1.28 | 0.84 ± 1.49 | 0.78 ± 1.35 | 0.77 ± 1.30 | 0.77 ± 1.35 |
Elixhauser Comorbidity Index | 1.20 ± 1.38 | 1.36 ± 1.55 | 1.39 ± 1.53 | 1.34 ± 1.42 | 1.33 ± 1.49 |
Hours to surgery | 32.02 ± 57.64 | 32.13 ± 51.56 | 29.17 ± 47.03 | 31.96 ± 56.83 | 30.79 ± 51.99 |
Time in theatre | 101.03 ± 49.49 | 96.30 ± 67.04 | 94.85 ± 57.61 | 95.95 ± 47.63 | 96.64 ± 56.36 |
Time in theatre/recovery | 213.08 ± 110.23 | 208.29 ± 115.17 | 214.99 ± 141.51 | 228.39 ± 146.20 | 215.56 ± 131.70 |
Sex: Female | 332 ± 50.0% | 291 ± 51.7% | 675 ± 51.3% | 239 ± 50.7% | 1537 ± 51.0% |
Sex: Male | 332 ± 50.0% | 272 ± 48.3% | 640 ± 48.7% | 232 ± 49.3% | 1476 ± 49.0% |
Table 5 Patient demographics, length of stay, comorbidity indices and theatre parameters for 2020
Phase 0 (n = 640) | Phase 1 (n = 425) | Phase 2 (n = 1210) | Phase 3 (n = 413) | Total (n = 2688) | |
mean ± SD | |||||
Age at injury | 59.46 ± 23.95 | 62.16 ± 23.61 | 57.70 ± 24.07 | 60.97 ± 23.47 | 59.33 ± 23.93 |
Length of spell (d) | 7.05 ± 7.87 | 5.69 ± 5.90 | 5.71 ± 7.54 | 7.53 ± 8.86 | 6.30 ± 7.64 |
Charlson Comorbidity Index | 0.77 ± 1.23 | 0.90 ± 1.45 | 0.68 ± 1.19 | 0.68 ± 1.25 | 0.73 ± 1.26 |
Elixhauser Comorbidity Index | 1.27 ± 1.46 | 1.55 ± 1.63 | 1.21 ± 1.37 | 1.19 ± 1.39 | 1.28 ± 1.44 |
Hours to surgery | 30.71 ± 49.37 | 30.84 ± 34.56 | 24.50 ± 37.98 | 24.59 ± 37.14 | 26.97 ± 40.41 |
Time in theatre | 95.62 ± 50.10 | 144.25 ± 64.24 | 127.98 ± 54.37 | 123.20 ± 54.48 | 122.11 ± 57.35 |
Time in theatre/recovery | 215.97 ± 124.31 | 175.22 ± 117.92 | 195.23 ± 106.09 | 203.28 ± 132.37 | 199.65 ± 117.42 |
Sex: Female | 347 ± 54.2% | 237 ± 55.8% | 649 ± 53.6% | 234 ± 56.7% | 1467 ± 54.6% |
Sex: Male | 293 ± 45.8% | 188 ± 44.2% | 561 ± 46.4% | 179 ± 43.3% | 1221 ± 45.4% |
- Citation: Kulkarni K, Shah R, Mangwani J, Ullah A, Gabbar O, James E, Dias J. Utilising the impact of COVID-19 on trauma throughput to adapt elective care models for more efficient trauma care. World J Orthop 2022; 13(10): 921-931
- URL: https://www.wjgnet.com/2218-5836/full/v13/i10/921.htm
- DOI: https://dx.doi.org/10.5312/wjo.v13.i10.921