TABLE 1.
Demographics and overview of patient characteristics.
| All | No missing items | No show | Missing imaging | Missing labs | |
|---|---|---|---|---|---|
| Gender | |||||
| Female | 53.1% (256) | 54.8% (190) | 49.5% (47) | 41.7% (10) | 56.3% (9) |
| Male | 46.9% (226) | 45.2% (157) | 50.5% (48) | 58.3% (14) | 43.8% (7) |
| Age | 51.8 (2–93, STD 21.36) | 51.1 (2–93, STD 21.0) | 49.2 (2–90, STD 21.91) | 72.5 (55–93, STD 9.02) | 52.3 (14–86, STD 24.3) |
| Race | |||||
| White | 89.8% (433) | 91.6% (318) | 81.1% (77) | 91.7% (22) | 100.0% (16) |
| Black | 4.1% (20) | 3.5% (12) | 8.4% (8) | — | — |
| Asian | 1.2% (6) | 1.4% (5) | 1.1% (1) | — | — |
| Native American | 0.8% (4) | 0.9% (3) | 1.1% (1) | — | — |
| No Reply | 3.9% (19) | 2.6% (9) | 8.4% (8) | 8.3% (2) | — |
| Marital status | |||||
| Single | 45.4% (219) | 43.2% (150) | 49.5% (47) | 45.8% (11) | 68.8% (11) |
| Married | 45.4% (219) | 50.1% (174) | 32.6% (31) | 37.5% (9) | 31.3% (5) |
| Unknown | 9.1% (44) | 6.6% (23) | 17.9% (17) | 16.7% (4) | — |
| First or subsequent appointment | |||||
| First | 41.7% (201) | 46.0% (160) | 14.7% (14) | 58.3% (14) | 43.8% (7) |
| Subsequent | 58.3% (281) | 56.2% (187) | 85.3% (81) | 41.7% (10) | 56.3% (9) |
| Subspeciality reason for appointment | |||||
| General facial plastics and reconstructive | 57.3% (276) | 54.5% (189) | 70.5% (67) | 45.8% (11) | 56.3% (9) |
| Head and neck oncology | 3.9% (19) | 4.3% (15) | 3.2% (3) | — | 6.3% (1) |
| Laryngology | 20.1% (97) | 22.2% (77) | 5.3% (5) | 37.5% (9) | 37.5% (6) |
| Otology, neurotology, and skull | 3.9% (19) | 4.3% (15) | 3.2% (3) | 4.2% (1) | — |
| Base | 3.9% (19) | 4.3% (15) | 2.1% (2) | 8.3% (2) | — |
| Pediatric | 3.9% (19) | 4.3% (15) | 4.2% (4) | — | — |
| Rhinology | 2.5% (12) | 2.6% (9) | 3.2% (3) | — | — |
| Sleep medicine | 0.6% (3) | 0.9% (3) | — | — | — |
| Most common zip code (mode) | 79424 | 79424 | 79404 | 79416 | 79424 |
Note: The table provides a demographic overview of our study population (n = 482). In addition, it stratifies our patient population based on their specific type of appointment (subspeciality vs. general otolaryngology) and whether the appointment is their first or subsequent appointment. The table highlights the relatively even distribution we have among gender and marital status.