Table 3.
Demographic Characteristics of No-show Appointments after Lockdown
| Post-lockdown | |||||
|---|---|---|---|---|---|
| No-show Appointments | Yes | No | P | ||
| No. patients | 40 | 238 | |||
| Age | 63.86 ± 14.11 | 60.56 ± 14.84 | 0.192 | ||
| Gender | 0.235 | ||||
| Men | 21 | 17.21% | 101 | 82.79% | |
| Women | 19 | 12.18% | 137 | 87.82% | |
| Ethnicity | 0.527 | ||||
| White | 14 | 12.17% | 101 | 87.83% | |
| Black | 24 | 17.02% | 117 | 82.98% | |
| Other | 2 | 9.09% | 20 | 90.91% | |
| Insurance type | 0.243 | ||||
| Commercial | 12 | 10.53% | 102 | 89.47% | |
| Medicaid | 5 | 13.51% | 32 | 86.49% | |
| Medicare | 23 | 18.11% | 104 | 81.89% | |
| Locality | 0.746 | ||||
| City | 18 | 15.79% | 96 | 84.21% | |
| Suburb | 16 | 14.41% | 95 | 85.59% | |
| Rural | 6 | 11.32% | 47 | 88.68% | |
| SVI | 0.40 ± 0.31 | 0.42 ± 0.29 | 0.780 | ||
| Median income by ZCTA | $101,590.60 ± $45,629.108 | $98,824.11 ± $40,637.767 | 0.696 | ||
| Visit type | 0.050 | ||||
| In-person | 29 | 18.83% | 125 | 81.17% | |
| Video | 8 | 10.96% | 65 | 89.04% | |
| Phone | 3 | 5.88% | 48 | 94.12% | |
| Patient status | 0.307 | ||||
| New patients | 2 | 7.69% | 24 | 92.31% | |
| Established patients | 38 | 15.08% | 214 | 84.92% | |
| History of surgery | 0.111 | ||||
| Yes | 23 | 12.11% | 167 | 87.89% | |
| No | 17 | 19.32% | 71 | 80.68% | |
| History of wounds | 0.044 | ||||
| Yes | 37 | 16.44% | 188 | 83.56% | |
| No | 3 | 5.66% | 50 | 94.34% | |
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.