Table 1.
Demographic characteristics and multinomial logistic regression for COVID-19 vaccine acceptance among HCWs in Nigeria.
| Variables | n (%) | COVID-19 Vaccine Acceptance (Total = 418/705; 59.3% n (%)) |
OR | p-Value | 95% CI |
|---|---|---|---|---|---|
| Gender | |||||
| Male | 281 (39.6%) | 188 (66.9%) | 2.8 | <0.001 | 1.7–4.6 |
| Female | 429 (60.4%) | 232 (54.1%) | Ref | ||
| Age | |||||
| 15–25 | 308 (43.4%) | 163 (52.8%) | 0.6 | 0.5 | 0.1–2.9 |
| 26–36 | 202 (28.5%) | 126 (62.4%) | 0.8 | 0.8 | 0.7–4.0 |
| 37–47 | 102(14.3%) | 70 (68.6%) | 0.7 | 0.6 | 0.1–3.3 |
| 48–58 | 75 (10.5%) | 42 (65.3%) | 0.8 | 0.8 | 0.1–4.4 |
| 59–69 | 22 (3.1%) | 13 (59.1%) | Ref | ||
| Zone in Nigeria | |||||
| North | 307(43.2%) | 169 (55.1%) | 0.4 | 0.004 | 0.2–0.8 |
| East | 202 (28.5%) | 85 (42.1%) | 0.1 | <0.001 | 0.1– 0.3 |
| West | 201 (28.3%) | 167 (83.0%) | Ref | ||
| Ethnicity | |||||
| Igbo | 229 (32.5%) | 110 (48.2%) | 0.8 | 0.357 | 0.5–1.3 |
| Hausa | 135 (19.2%) | 82 (60.9%) | 4.5 | <0.001 | 1.8–10.9 |
| Yoruba | 193 (27.4%) | 152 (78.6%) | 3.5 | <0.001 | 1.8–7.1 |
| Others | 147 (20.9%) | 71 (48.6%) | Ref | ||
| Location | |||||
| Urban | 421 (60.0%) | 269 (63.9%) | 2.4 | 0.004 | 1.5–4.8 |
| Suburban | 192 (27.4%) | 98 (51.1%) | 1.1 | 0.7 | 0.3–1.4 |
| Rural | 89 (12.7%) | 48 (53.9%) | Ref | ||
| Facility | |||||
| Teaching Hospital | 119 (17.0%) | 55.9 (47.0%) | 0.364 | 1.442 | 0.7–3.2 |
| Federal Medical Centre | 228(32.5%) | 132 (57.9%) | 0.083 | 1.733 | 0.9–3.2 |
| Private Hospital | 138 (19.7%) | 91 (65.7%) | 1.7 | <0.020 | 0.8–3.7 |
| Primary Healthcare | 103 (14.7%) | 86 (83.2%) | 4.4 | <0.004 | 1.6–12.3 |
| Others | 114 (16.2%) | 52 (45.6%) | Ref | ||
| Ward | |||||
| Respiratory Unit | 53 (7.6%) | 29 (54.7%) | 2.9 | 0.1 | 0.6–3.8 |
| Emergency Unit | 104 (14.9%) | 67 (64.4%) | 2.0 | 0.17 | 0.3–2.0 |
| Intensive Unit | 106(15.2%) | 71 (67.0%) | 2.0 | 0.18 | 0.3–2.0 |
| Medical Imaging | 28 (4.0) | 19 (66.7%) | 2.5 | 0.2 | 0.2–2.4 |
| Medical Laboratory Unit | 41 (5.9%) | 23 (56.5%) | 1.4 | 0.5 | 0.5–2.3 |
| Others | 367 (52.5%) | 197 (53.7%) | Ref | ||
| Cohort | |||||
| Physician | 111(15.7%) | 69 (62.4%) | 2.4 | 0.031 | 1.1–5.4 |
| Nurse | 46(6.5%) | 29 (62.2%) | 2.0 | 0.9 | 0.4–2.2 |
| Pharmacist | 157(22.2%) | 101 (64.1%) | 1.2 | 0.5 | 0.7–2.2 |
| Physiotherapist | 20(2.8%) | 15 (75.0%) | 4.8 | 0.1 | 0.6–37.8 |
| Scientist | 114(16.1%) | 50 (43.9%) | 0.6 | 0.2 | 0.3–1.2 |
| Radiographer | 27(3.8%) | 21 (76.9%) | 3.2 | 0.1 | 0.7–14.4 |
| Administrative Staff | 50(7.0%) | 35 (70.0%) | 2.8 | 0.7 | 0.9–8.5 |
| Others | 181 (25.5%) | 100 (55.2%) | Ref | ||
| Chronic Illness | |||||
| Yes | 128 (18.0%) | 79 (61.4%) | 1.1 | 0.8 | 0.670–1.665 |
| No | 578(81.9%) | 339 (58.7%) | Ref |