Table 2.
Demographic Characteristics of No-show Appointments before Lockdown
| Pre-lockdown | |||||
|---|---|---|---|---|---|
| No-show Appointment | Yes | No | P | ||
| No. patients | 65 | 441 | |||
| Age | 54.38 ± 15.43 | 60.14 ± 15.58 | 0.006 | ||
| Gender | 0.032 | ||||
| Men | 39 | 16.18% | 202 | 83.82% | |
| Women | 26 | 9.81% | 239 | 90.19% | |
| Ethnicity | 0.075 | ||||
| White | 19 | 9.05% | 191 | 90.95% | |
| Black | 35 | 15.15% | 196 | 84.85% | |
| Other | 11 | 16.92% | 54 | 83.08% | |
| Insurance type | 0.027 | ||||
| Commercial | 24 | 11.21% | 190 | 88.79% | |
| Medicaid | 17 | 22.37% | 59 | 77.63% | |
| Medicare | 24 | 11.11% | 192 | 88.89% | |
| Locality | 0.968 | ||||
| City | 29 | 12.50% | 203 | 87.50% | |
| Suburb | 25 | 12.95% | 168 | 87.05% | |
| Rural | 11 | 13.58% | 70 | 86.42% | |
| SVI | 0.49 ± 0.31 | 0.39 ± 0.28 | 0.007 | ||
| Median income by ZCTA | $98,920.51 ± $34,886.35 | $98,875.39 ± $38,733.93 | 0.993 | ||
| Visit type | 0.620 | ||||
| In-person | 64 | 12.83% | 435 | 87.17% | |
| Video | 0 | 0% | 3 | 100% | |
| Phone | 1 | 25% | 3 | 75% | |
| Patient status | 0.035 | ||||
| New patients | 43 | 11.11% | 344 | 88.89% | |
| Established patients | 22 | 18.49% | 97 | 81.51% | |
| History of surgery | 0.006 | ||||
| Yes | 23 | 8.88% | 236 | 91.12% | |
| No | 42 | 17.00% | 205 | 83.00% | |
| History of wounds | 0.174 | ||||
| Yes | 56 | 13.86% | 348 | 86.14% | |
| No | 9 | 8.82% | 93 | 91.18% | |
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.