Table 1.
Sample Characteristics Pre-COVID and Post-COVID Lockdown
| Pre-lockdown | Post-lockdown | P | |||
|---|---|---|---|---|---|
| No. patients | 506 | 278 | |||
| Age | 59.40 ± 15.67 | 61.04 ± 14.76 | 0.154 | ||
| Gender | 0.315 | ||||
| Men | 241 | 47.63% | 122 | 43.88% | |
| Women | 265 | 52.37% | 156 | 56.12% | |
| Ethnicity | 0.086 | ||||
| White | 210 | 41.50% | 115 | 41.37% | |
| Black | 231 | 45.65% | 141 | 50.72% | |
| Other | 65 | 12.85% | 22 | 7.91% | |
| Insurance type | 0.669 | ||||
| Commercial | 214 | 42.29% | 114 | 41.01% | |
| Medicaid | 76 | 15.02% | 37 | 13.31% | |
| Medicare | 216 | 42.69% | 127 | 45.68% | |
| Locality | 0.353 | ||||
| City | 232 | 45.85% | 114 | 41.01% | |
| Suburb | 193 | 38.14% | 111 | 39.93% | |
| Rural | 81 | 16.01% | 53 | 19.06% | |
| History of wounds | 0.713 | ||||
| Yes | 404 | 79.84% | 225 | 80.94% | |
| No | 102 | 20.16% | 53 | 19.06% | |
| SVI | 0.40 ± 0.29 | 0.41 ± 0.29 | 0.559 | ||
| Median income by ZCTA | $98,881.18 ± $38,228.90 | $99,222.17 ± $41,316.30 | 0.908 | ||
| Visit type | <0.001 | ||||
| In-person | 499 | 98.62% | 154 | 55.40% | |
| Video | 3 | 0.59% | 73 | 26.26% | |
| Phone | 4 | 0.79% | 51 | 18.35% | |
| Patient status | <0.001 | ||||
| New patient | 119 | 23.52% | 26 | 9.35% | |
| Established patient | 387 | 76.48% | 252 | 90.65% | |
| History of surgery | <0.001 | ||||
| Yes | 259 | 51.19% | 190 | 68.35% | |
| No | 247 | 48.81% | 88 | 31.65% | |
| No-show | 0.544 | ||||
| Yes | 65 | 12.85% | 40 | 14.39% | |
| No | 441 | 87.15% | 238 | 85.61% | |
Percentages are expressed by columns. Numbers are accompanied with ± 95% SD. An SVI score of “0” denotes the lowest vulnerability, and that of “1” denotes the highest vulnerability.