Table 1.
Demographics of participants who provided at least one open-ended comment.
| Characteristic | Overall | Unvaccinated (N = 417, 36.4%) |
Vaccinated (N = 727, 63.5%) |
p (Unvaccinated vs. Vaccinated) |
|---|---|---|---|---|
| Sex—n (%) | 0.59 | |||
| Female | 377 (32.9) | 141 (33.8) | 236 (32.5) | |
| Male | 753 (65.8) | 269 (64.5) | 483 (66.4) | |
| Missing | 15 (1.3) | 7 (1.7) | 8 (1.1) | |
| Age—n (%) | <0.001 | |||
| <28 years | 232 (20.3) | 113 (27.1) | 119 (16.4) | |
| 29–38 years | 292 (25.5) | 129 (30.9) | 163 (22.4) | |
| 39–50 years | 296 (25.9) | 93 (22.3) | 202 (27.8) | |
| >51 years | 325 (28.4) | 82 (19.7) | 243 (33.4) | |
| Race and Ethnicity—n (%) | 0.45 | |||
| White, Non-Hispanic | 967 (84.5) | 357 (85.6) | 609 (83.8) | |
| All others | 134 (11.7) | 45 (10.8) | 89 (12.2) | |
| Missing | 44 (3.8) | 15 (3.6) | 29 (4.0) | |
| Certification—n (%) | 0.01 | |||
| Basic Life Support | 418 (36.5) | 172 (41.2) | 246 (33.8) | |
| Advanced Life Support | 727 (63.5) | 245 (58.8) | 481 (66.2) | |
| Educational Level—n (%) | <0.001 | |||
| HS/GED | 113 (9.9) | 44 (10.6) | 69 (9.5) | |
| Some College | 327 (28.6) | 146 (35.0) | 181 (24.9) | |
| Associate’s | 220 (19.2) | 78 (18.7) | 141 (19.4) | |
| Bachelor’s | 250 (21.8) | 69 (16.5) | 181 (24.9) | |
| Master’s/Doctorate | 79 (6.9) | 18 (4.3) | 61 (8.4) | |
| Missing | 156 (13.6) | 62 (14.9) | 94 (12.9) | |
| Urbanicity—n (%) | 0.02 | |||
| Rural | 390 (34.1) | 167 (40.0) | 222 (30.5) | |
| Suburban | 465 (40.6) | 152 (36.5) | 313 (43.1) | |
| Urban | 202 (17.6) | 57 (13.7) | 145 (19.9) | |
| Missing | 88 (7.7) | 41 (9.8) | 47 (6.5) | |
| Has a health condition that makes them at high risk for increased COVID-19 disease severity—n (%) | <0.001 | |||
| No | 714 (62.4) | 280 (67.1) | 433 (59.6) | |
| Yes | 346 (30.2) | 99 (23.7) | 247 (34.0) | |
| Missing | 85 (7.4) | 38 (9.1) | 47 (6.5) | |
| Agency Type—n (%) | 0.40 | |||
| Fire | 283 (24.7) | 109 (26.1) | 174 (23.9) | |
| Private | 254 (22.2) | 91 (21.8) | 163 (22.4) | |
| Government Non-fire | 149 (13.0) | 53 (12.7) | 95 (13.1) | |
| Hospital | 124 (10.8) | 35 (8.4) | 89 (12.2) | |
| Other * | 116 (10.1) | 42 (10.1) | 74 (10.2) | |
| Missing | 219 (19.1) | 87 (20.9) | 132 (18.2) | |
| Service Type—n (%) | 0.64 | |||
| 911 | 350 (30.6) | 127 (30.5) | 223 (30.7) | |
| All Others ** | 141 (12.3) | 48 (11.5) | 93 (12.8) | |
| Missing | 654 (57.1) | 242 (58.0) | 411 (56.5) | |
| Years in EMS—mean (IQR) | 15.1 (18.0) | 12.7 (16.0) | 16.5 (19.0) | <0.001 |
| Employment Status—n (%) | 0.22 | |||
| Full-Time | 666 (58.2) | 247 (59.2) | 418 (57.5) | |
| Part-Time | 123 (10.7) | 38 (9.1) | 85 (11.7) | |
| Volunteer | 108 (9.4) | 33 (7.9) | 75 (10.3) | |
| Missing | 248 (21.7) | 99 (23.7) | 149 (20.5) |
Abbreviations: HS/GED, High school/General Educational Development; IQR, Interquartile range; MIHCP, Mobile Integrated Healthcare or Community Paramedicine. * Other includes air medical, tribal, military, and other; ** All Others includes medical transport, 911 and medical transport, clinical services, MIHCP, and other. p-values are based on Chi-square tests for categorical variables and independent samples t-test for continuous variables.