| Literature DB >> 35421920 |
Sky Wei Chee Koh1,2, Yiyang Liow3,4, Victor Weng Keong Loh4, Seaw Jia Liew4, Yiong-Huak Chan5, Doris Young4.
Abstract
BACKGROUND: Factors affecting COVID-19 vaccine acceptance and hesitancy among primary healthcare workers (HCW) remain poorly understood. This study aims to identify factors associated with vaccine acceptance and hesitancy among HCW.Entities:
Keywords: COVID-19 vaccine; General practice; Healthcare workers; Primary care; Singapore; Vaccine hesitancy
Mesh:
Substances:
Year: 2022 PMID: 35421920 PMCID: PMC9010198 DOI: 10.1186/s12875-022-01693-z
Source DB: PubMed Journal: BMC Prim Care ISSN: 2731-4553
Fig. 1Study inclusion and exclusion
Socio-demographics of respondents on COVID-19 vaccine acceptance
| Variables | Respondents (%) | COVID-19 vaccine acceptance | ||
|---|---|---|---|---|
| Acceptance (%) ( | Hesitancy (%) ( | |||
| Female | 463 (87.7) | 437 (94.4) | 26 (5.6) | 0.162 |
| Male | 65 (12.3) | 64 (98.5) | 1 (1.5) | |
| 21–25 years old | 50 (9.5) | 50 (100) | 0 (0) | 0.267 |
| 26–34 years old | 190 (36.0) | 178 (93.7) | 12 (6.3) | |
| 35–44 years old | 138 (26.1) | 131 (94.9) | 7 (5.1) | |
| 45–54 years old | 98 (18.6) | 91 (92.9) | 7 (7.1) | |
| ≥55 years old | 52 (9.8) | 51 (98.1) | 1 (1.9) | |
| Chinese | 378 (71.6) | 357 (94.4) | 21 (5.6) | 0.732 |
| Malay | 78 (14.8) | 75 (96.2) | 3 (3.8) | |
| Indian | 43 (8.1) | 42 (97.7) | 1 (2.3) | |
| Others | 29 (5.5) | 27 (93.1) | 2 (6.9) | |
| Nursing | 203 (38.4) | 188 (92.6) | 15 (7.4) | 0.117 |
| Allied Healtha | 142 (26.9) | 137 (96.5) | 5 (3.5) | |
| Administrativeb | 128 (24.2) | 121 (94.5) | 7 (5.5) | |
| Medicalc | 55 (10.4) | 55 (100) | 0 (0) | |
| ≤5 years | 176 (33.3) | 166 (94.3) | 10 (5.7) | 0.439 |
| 6–10 years | 136 (25.8) | 130 (95.6) | 6 (4.4) | |
| 11–15 years | 115 (21.8) | 111 (96.5) | 4 (3.5) | |
| 16–20 years | 44 (8.3) | 39 (88.6) | 5 (11.4) | |
| 21–25 years | 32 (6.1) | 30 (93.8) | 2 (6.3) | |
| 26–30 years | 13 (2.5) | 13 (100) | 0 (0) | |
| ≥31 years | 12 (2.3) | 12 (100) | 0 (0) | |
aCategory includes care coordinators, dieticians, financial counsellors, medical social workers, pharmacists, physiotherapists, podiatrists and radiographers
bcategory includes operation executives, call centre operators, patient care and service associates, IT support and temperature screening assistants
cCategory includes medical officers, residents, family physicians and dentists
Factors associated with COVID-19 vaccine acceptance
| Variables | Respondents (%) | COVID-19 vaccine acceptance | ||
|---|---|---|---|---|
| Acceptance (%) ( | Hesitancy (%) ( | |||
| Living with others | 472 (89.4) | 446 (94.5) | 26 (5.5) | 0.232 |
| Living alone | 56 (10.6) | 55 (98.2) | 1 (1.8) | |
| Yes | 102 (19.3) | 95 (93.1) | 7 (6.9) | 0.372 |
| No | 426 (80.7) | 406 (95.3) | 20 (4.7) | |
| Yes | 424 (80.3) | 406 (95.8) | 18 (4.2) | 0.067 |
| No | 104 (19.7) | 95 (91.3) | 9 (8.7) | |
| Yes | 313 (59.3) | 299 (95.5) | 14 (4.5) | 0.420 |
| No | 215 (40.7) | 202 (94.0) | 13 (6.0) | |
| Yes | 295 (55.9) | 280 (94.9) | 15 (5.1) | 0.973 |
| No | 233 (44.1) | 221 (94.8) | 12 (5.2) | |
| Yes | 487 (92.2) | 462 (94.9) | 25 (5.1) | 0.943 |
| No | 41 (7.8) | 39 (95.1) | 2 (4.9) | |
Fig. 2Reasons for COVID-19 vaccine acceptance
Fig. 35C psychological antecedents of vaccination (n = 27)