Table 5.
COVID-19 practice impact stratified by previous epidemic experience
| All respondents (n = 902) | Previous epidemic experience (%) (n = 255) | No previous epidemic experience (%) (n = 647) | p value | |
|---|---|---|---|---|
| Performing elective spine surgery | 0.0005 | |||
| Yes | 149 (18.5) | 59 (26.1) | 90 (15.6) | |
| No | 655 (81.5) | 167(73.9) | 488 (84.4) | |
| Performing essential spine surgery | 0.88 | |||
| Yes | 700 (87.3) | 197 (87.6) | 503 (87.2) | |
| No | 102 (12.7) | 28 (12.4) | 74 (12.8) | |
| Percent cases cancelled/postponed per week | 0.22 | |||
| < 25% | 72 (9.0) | 24 (10.7) | 48 (8.3) | |
| 25–50% | 69 (8.6) | 19 (8.4) | 50 (8.7) | |
| 51–75% | 123 (15.3) | 42 (18.7) | 81 (14.0) | |
| > 75% | 539 (67.1) | 140 (62.2) | 399 (69.0) | |
| Top allocation of time | 0.95 | |||
| Spending time with family | 312 (49.5) | 90 (51.4) | 222 (48.8) | |
| Personal wellness | 59 (9.4) | 18 (10.3) | 41 (9.0) | |
| Resting | 38 (6.0) | 10 (5.7) | 28 (6.2) | |
| Planning for future | 19 (3.0) | 6 (3.4) | 13 (2.9) | |
| Engaging in hobbies | 17 (2.7) | 5 (2.9) | 12 (2.6) | |
| Academic projects/research | 32 (5.1) | 6 (3.4) | 26 (5.7) | |
| Community outreach programs | 13 (2.1) | 3 (1.7) | 10 (2.2) | |
| Spine practice/medical center-related work | 140 (22.2) | 37 (21.1) | 103 (22.6) | |
| Impact on income | 0.004 | |||
| Planned reduction, on salary | 138 (18.1) | 51 (24.5) | 87 (15.7) | |
| No impact, on salary | 244 (32.1) | 62 (29.8) | 182 (32.9) | |
| Planned reduction, compensation-based income | 64 (8.4) | 22 (10.6) | 42 (7.6) | |
| No impact, compensation-based income | 7 (0.9) | 4 (1.9) | 3 (0.5) | |
| Losing income | 308 (40.5) | 69 (33.2) | 239 (43.2) | |
| Percent of personal revenue lost | 0.042 | |||
| < 25% | 219 (28.9) | 57 (27.5) | 162 (29.5) | |
| 25–50% | 226 (29.9) | 77 (37.2) | 149 (27.1) | |
| 51–75% | 142 (18.8) | 36 (17.4) | 106 (19.3) | |
| > 75% | 170 (22.5) | 37 (17.9) | 133 (24.2) | |
| Percent of hospital revenue lost | 0.36 | |||
| < 25% | 169 (22.3) | 47 (22.5) | 122 (22.3) | |
| 25–50% | 199 (26.3) | 64 (30.6) | 135 (24.6) | |
| 51–75% | 207 (27.3) | 53 (25.4) | 154 (28.1) | |
| > 75% | 182 (24.0) | 45 (21.5) | 137 (25.0) | |
| Staff furlough | 0.57 | |||
| Yes | 307 (40.5) | 91 (43.5) | 216 (39.3) | |
| No | 286 (37.7) | 74 (35.4) | 212 (38.6) | |
| Potentially | 165 (21.8) | 44 (21.1) | 121 (22.0) | |
| Hospital layoffs | 0.41 | |||
| Yes | 67 (8.8) | 15 (7.2) | 52 (9.4) | |
| No | 586 (77.0) | 160 (76.6) | 426 (77.2) | |
| No, but have plans to | 108 (14.2) | 34 (16.3) | 74 (13.4) | |
| Personally laid off staff | 0.38 | |||
| Yes | 39 (5.1) | 10 (4.8) | 29 (5.2) | |
| No | 683 (89.8) | 191 (91.8) | 492 (89.0) | |
| No, but have plans to | 39 (5.1) | 7 (3.4) | 32 (5.8) | |
| Time frame to resume elective surgeries | 0.052 | |||
| No current stoppage | 85 (10.6) | 29 (13) | 56 (9.7) | |
| < 2 weeks | 31 (3.9) | 12 (5.4) | 19 (3.3) | |
| 2–4 weeks | 136 (16.9) | 44 (19.6) | 92 (15.9) | |
| 1–2 months | 127 (15.8) | 40 (17.9) | 87 (15.0) | |
| > 2 months | 33 (4.1) | 10 (4.5) | 23 (4.0) | |
| Unknown time frame | 392 (48.76) | 89 (39.7) | 303 (52.2) | |
| Timeline to resume “baseline operation” | 0.38 | |||
| < 2 weeks | 96 (12.7) | 23 (11.0) | 73 (13.3) | |
| 2–4 weeks | 177 (23.3) | 59 (28.2) | 118 (21.5) | |
| 4–6 weeks | 177 (23.3) | 44 (21.1) | 133 (24.2) | |
| 6–8 weeks | 108 (14.2) | 29 (13.9) | 79 (14.4) | |
| 8 + weeks | 201 (26.5) | 54 (25.8) | 147 (26.7) | |
| Impact on how you treat patients in 1 year | ||||
| No change | 133 (14.8) | 36 (14.1) | 97 (15.0) | 0.74 |
| Heightened awareness of hygiene | 435 (48.2) | 119 (46.7) | 316 (48.8) | 0.56 |
| Will increase use of PPE | 344 (38.1) | 94 (36.9) | 250 (38.6) | 0.62 |
| Ask patient to reschedule if they feel sick | 285 (31.6) | 86 (3.7) | 199 (30.8) | 0.39 |
| Pursue increased non-operative measures prior to surgery | 150 (16.6) | 43 (16.9) | 107 (16.5) | 0.96 |
| Growth in digital options for communication | 314 (34.8) | 77 (30.2) | 237 (36.6) | 0.068 |