Table 5.
Characteristics of four clusters.
| Total (n = 304) | Group 1 (n = 38) | Group 2 (n = 94) | Group 3 (n = 86) | Group 4 (n = 86) | |
|---|---|---|---|---|---|
| Gender | |||||
| Male | 53 (17) | 10 (27) | 14 (15) | 16 (19) | 13 (15) |
| Female | 251 (83) | 28 (73) | 80 (85) | 70 (81) | 73 (85) |
| Age | |||||
| 1946–1964 | 50 (16) | 16 (42) | 18 (19) | 9 (10) | 7 (8) |
| 1965–1980 | 87 (29) | 10 (26) | 29 (31) | 28 (33) | 20 (23) |
| 1981–1996 | 155 (51) | 11 (29) | 46 (49) | 46 (53) | 52 (61) |
| After 1996 | 12 (4) | 1 (3) | 1 (1) | 3 (4) | 7 (8) |
| Race | |||||
| White | 242 (80) | 29 (77) | 76 (81) | 72 (84) | 65 (75) |
| African American | 27 (9) | 2 (5) | 8 (9) | 6 (7) | 11 (13) |
| Asian American | 19 (6) | 4 (10) | 5 (5) | 6 (7) | 4 (5) |
| Pacific Islander | 4 (1) | 0 (0) | 1 (1) | 1 (1) | 2 (2) |
| Native American | 12 (4) | 3 (8) | 4 (4) | 1 (1) | 4 (5) |
| Ethnicity | |||||
| Hispanic | 98 (32) | 13 (34) | 44 (47) | 21 (24) | 20 (23) |
| Non-Hispanic | 206 (68) | 25 (66) | 50 (53) | 65 (76) | 66 (77) |
| Education | |||||
| Some college | 40 (13) | 3 (8) | 28 (30) | 7 (8) | 2 (2) |
| Associate degree | 56 (18) | 4 (10) | 28 (30) | 16 (19) | 9 (10) |
| Bachelor’s degree | 128 (42) | 15 (39) | 31 (33) | 46 (53) | 36 (42) |
| Graduate degree | 48 (16) | 9 (24) | 5 (5) | 10 (12) | 24 (28) |
| Doctoral degree | 31 (10) | 7 (18) | 2 (2) | 7 (8) | 15 (17) |
| Political Affiliation | |||||
| Democratic | 54 (18) | 2 (5) | 8 (9) | 6 (7) | 38 (44) |
| Republican | 155 (51) | 26 (68) | 44 (47) | 52 (60) | 33 (38) |
| No lean | 95 (31) | 10 (27) | 42 (44) | 28 (33) | 15 (18) |
| Occupation | |||||
| Physician | 11 (4) | 2 (5) | 0 (0) | 2 (2) | 7 (8) |
| Nurse | 144 (47) | 20 (54) | 31 (33) | 49 (57) | 44 (51) |
| NP/PA | 5 (2) | 2 (5) | 0 (0) | 1 (1) | 2 (2) |
| Pharmacist | 4 (1) | 0 (0) | 1 (1) | 0 (0) | 3 (3) |
| CRT/RRT | 23 (7) | 2 (5) | 5 (5) | 14 (16) | 2 (2) |
| Administrator | 11 (4) | 5 (13) | 1 (1) | 3 (3) | 2 (2) |
| Allied health | 106 (35) | 7 (18) | 56 (60) | 17 (20) | 26 (30) |
| Clinical Area | |||||
| ICU | 95 (32) | 14 (37) | 20 (21) | 43 (51) | 18 (21) |
| Non-ICU | 116 (38) | 10 (27) | 41 (44) | 25 (29) | 40 (47) |
| Emergency room | 25 (8) | 5 (13) | 2 (2) | 9 (10) | 9 (10) |
| Outpatient | 68 (22) | 9 (23) | 31 (33) | 9 (10) | 19 (22) |
| Willingness to receive COVID-19 vaccine | |||||
| Definitely not | 121 (40) | 26 (69) | 56 (60) | 17 (20) | 22 (26) |
| Probably not | 102 (33) | 12 (31) | 31 (33) | 27 (31) | 32 (37) |
| Not sure | 81 (27) | 0 (0) | 7 (7) | 42 (49) | 32 (37) |
| Willingness to recommend COVID-19 vaccine | |||||
| Definitely not | 55 (18) | 22 (58) | 24 (25) | 8 (9) | 1 (1) |
| Probably not | 98 (32) | 14 (37) | 41 (44) | 25 (29) | 18 (21) |
| Not sure | 103 (39) | 2 (5) | 27 (29) | 41 (48) | 33 (38) |
| Probably yes | 35 (11) | 0 (0) | 2 (2) | 7 (8) | 26 (31) |
| Definitely yes | 13 (4) | 0 (0) | 0 (0) | 5 (6) | 8 (9) |
| Knowledge of COVID-19 vaccine efficacy | |||||
| Accurate | 119 (39) | 6 (16) | 24 (25) | 40 (47) | 49 (57) |
| Underestimate | 185 (61) | 32 (84) | 70 (75) | 46 (53) | 37 (43) |
| Recent Flu vaccination receipt | |||||
| Yes | 195 (64) | 12 (41) | 62 (66) | 53 (61) | 68 (79) |
| No | 109 (36) | 26 (59) | 32 (34) | 33 (39) | 18 (21) |
| Perceived likelihood of dying from COVID-19 | |||||
| Low | 261 (86) | 33 (87) | 90 (96) | 63 (73) | 75 (87) |
| Average | 21 (7) | 3 (8) | 2 (2) | 12 (14) | 4 (5) |
| High | 22 (7) | 2 (5) | 2 (2) | 11 (13) | 7 (8) |
| Estimated mortality from COVID-19 | |||||
| Underestimate | 137 (45) | 29 (76) | 55 (58) | 31 (36) | 22 (26) |
| Accurate | 119 (39) | 8 (21) | 29 (31) | 38 (44) | 44 (51) |
| High | 48 (16) | 1 (3) | 10 (11) | 17 (20) | 20 (23) |
| Seasonal flu is more contagious than COVID-19 | |||||
| Yes | 68 (22) | 30 (79) | 18 (19) | 12 (14) | 8 (9) |
| No | 93 (31) | 2 (5) | 19 (20) | 31 (36) | 41 (48) |
| Not sure | 142 (47) | 6 (16) | 57 (61) | 43 (50) | 37 (43) |
| Seasonal flu is deadlier than COVID-19 | |||||
| Yes | 48 (16) | 24 (63) | 15 (16) | 5 (6) | 4 (5) |
| No | 136 (45) | 4 (10) | 19 (20) | 66 (77) | 47 (55) |
| Not sure | 120 (39) | 10 (26) | 60 (64) | 15 (17) | 35 (40) |
| COVID-19 is a manmade virus | |||||
| Yes | 108 (35) | 35 (92) | 40 (42) | 22 (25) | 11 (13) |
| No | 94 (31) | 2 (5) | 17 (18) | 13 (15) | 62 (72) |
| Not sure | 102 (34) | 1 (3) | 37 (40) | 51 (60) | 13 (15) |
| COVID-19 is a hoax | |||||
| Yes | 32 (10) | 27 (71) | 2 (2) | 2 (2) | 1 (1) |
| No | 238 (78) | 5 (13) | 69 (73) | 79 (92) | 85 (99) |
| Not sure | 33 (11) | 6 (16) | 22 (25) | 5 (6) | 0 (0) |
| The impact of COVID-19 is exaggerated | |||||
| Yes | 104 (33) | 34 (89) | 50 (53) | 11 (13) | 9 (10) |
| No | 153 (50) | 1 (3) | 24 (25) | 60 (70) | 68 (80) |
| Not sure | 47 (15) | 3 (8) | 20 (22) | 15 (17) | 9 (10) |