Table 1.
Characteristics of Original Patients with Early Syphilis Interviewed by Public Health - Seattle and King County Partner Services from 2010 to 2014, by Method of Interview (In-Person versus Telephone)
| Original Patient Characteristic | Syphilis In-Person Interview N=682 |
Syphilis Telephone Interview N=646 |
P- value |
||
|---|---|---|---|---|---|
| Age | |||||
| Median years (interquartile range) | 37 | (28-45) | 41 | (32-48) | <0.001 |
| Sex, n (%) | |||||
| Male | 668 | (98) | 627 | (97) | 0.299 |
| Female | 14 | (2) | 19 | (3) | |
| Race/ethnicity, n (%) | |||||
| White | 426 | (63) | 455 | (70) | |
| Black | 79 | (12) | 48 | (7) | |
| Latino | 80 | (12) | 76 | (12) | 0.001 |
| Asian | 25 | (4) | 15 | (2) | |
| Other | 49 | (7) | 26 | (4) | |
| Sexual orientation, n (%) | |||||
| MSM | 632 | (93) | 594 | (92) | |
| MSWE | 36 | (5) | 27 | (4) | 0.114 |
| WSM | 12 | (2) | 17 | (3) | |
| Other | 2 | (<1) | 8 | (1) | |
| HIV status, n (%) | |||||
| Negative | 358 | (52) | 226 | (35) | <0.001 |
| Positive | 324 | (48) | 420 | (65) | |
| Location of interview, n (%) | |||||
| STD clinic | 624 | (91) | - | ||
| Field | 26 | (4) | - | ||
| Time to interview | |||||
| Median days (interquartile range) | 6 | (0-14) | 21 | (12-34) | <0.001 |
| Place of diagnosis, n (%) | |||||
| STD Clinic and/or MSM CBO | 405 | (59) | 57 | (9) | |
| MSM and/or HIV Specialty Clinic | 125 | (18) | 304 | (47) | |
| Non-Specialty Provider | 152 | (22) | 285 | (44) | <0.001 |
| Caseworker, n (%) | |||||
| DIS #1 | 328 | (48) | 171 | (26) | |
| DIS #2 | 91 | (13) | 275 | (43) | |
| DIS #3 | 111 | (16) | 123 | (19) | |
| DIS #4 | 6 | (1) | 44 | (7) | |
| DIS #5 | 40 | (6) | 12 | (2) | <0.001 |
| Other DIS | 106 | (16) | 21 | (3) | |
HIV: Human immunodeficiency virus, STD: Sexually transmitted disease, MSM: Men who have sex with men, MSWE: Men who have sex with women exclusively, WSM: Women who have sex with men, CBO: Community based organization, DIS: Disease intervention specialist. Other DIS category includes all other small volume caseworkers. Numbers may not sum to total because of missing data; all variables have ≤ 5% missing.