| Literature DB >> 33992654 |
Beesan Maraqa1, Zaher Nazzal2, Razan Rabi3, Nafez Sarhan4, Kamal Al-Shakhra1, Mai Al-Kaila1.
Abstract
With the planned COVID-19 vaccine, vaccine hesitation is a great challenge, particularly for healthcare professionals. In this study, we examined the acceptance of the COVID-19 vaccine by health care workers, their concerns about it, and the reasons that might prevent them from getting vaccinated. We conducted a cross-sectional study using an anonymous online survey from December 25, 2020, to January 6, 2021. The questionnaire consisted of demographic characteristics (age, gender, profession, sector, medical history, and general health), COVID-19 related knowledge, and personal history of influenza vaccination. The intention to get the vaccine once it is available was directly asked, and attitudes towards the diseases and the vaccine were studied using a four-point Likert scale statement based on the health belief model's constructs. The study included 1159 HCWs; 62.9% were females, and 52.5% were between the ages of 30-49 years. The intention to get vaccinated was only 37.8% [95%CI: 35.0%-40.6%], while 31.5% were undecided, and 30.7% planned to refuse it. Higher levels of intention were reported among males (OR; 2.7, 95%CI: 2.0-3.7), younger ages (OR 1.7, 95%CI: 1.1-2.8), physicians (OR; 2.9, 95%CI: 2.0-4.0), HCWs at non-governmental settings (OR; 1.4, 95%CI: 1.1-1.9), those who previously received the influenza vaccine (OR 4.0, 95%CI: 2.3-7.1), and those who had higher COVID-19 related knowledge (OR; 1.7, 95%CI: 2.3-7.1). In conclusion, vaccine acceptance among HCWs was much lower than expected, which would greatly diminish the role of vaccination in reducing the burden of the COVID-19 pandemic throughout the community.Entities:
Keywords: Attitudes; COVID-19 vaccine; Healthcare workers; Palestine; Vaccine hesitancy
Mesh:
Substances:
Year: 2021 PMID: 33992654 PMCID: PMC8117476 DOI: 10.1016/j.ypmed.2021.106618
Source DB: PubMed Journal: Prev Med ISSN: 0091-7435 Impact factor: 4.018
Background and demographic characteristics of health care workers by profession (n = 1159).
| Total sample | Health care workers /profession | |||
|---|---|---|---|---|
| Physicians ( | Nurse ( | Other HCWs* ( | ||
| Female | 729 (62.9%) | 145 (38.8%) | 384 (79.5%) | 200 (66.2%) |
| Male | 430 (37.1%) | 229 (61.2%) | 99 (20.5%) | 102 (33.8%) |
| Under 30 years | 392 (33.8%) | 156 (41.7%) | 124 (25.7%) | 112 (37.1%) |
| 30–49 years | 609 (52.5%) | 184 (49.2%) | 265 (54.9%) | 160 (53.0%) |
| Above 50 years | 158 (13.6%) | 34 (9.1%) | 94 (19.5%) | 30 (9.9%) |
| North west-bank | 526 (45.4%) | 178 (47.6%) | 216 (44.7%) | 132 (43.7%) |
| South west-bank | 403 (34.8%) | 63 (16.8%) | 114 (23.6%) | 53 (17.5%) |
| North west-bank | 230 (19.8%) | 133 (35.6%) | 153 (31.7%) | 117 (38.7%) |
| Governmental | 814 (70.2%) | 240 (64.2%) | 408 (84.5%) | 166 (55.5%) |
| Non- governmental | 345 (29.8%) | 134 (35.8%) | 75 (15.5%) | 136 (45.5%) |
| Less than 5000 (ILS) | 833 (71.9%) | 172 (46.0%) | 424 (85.9%) | 237 (78.5%) |
| 5000-10,000 (ILS) | 272 (23.5%) | 186 (44.9%) | 41 (8.5%) | 63 (20.9%) |
| >10,000 (ILS) | 54 (4.7%) | 34 (9.1%) | 18 (3.7%) | 2 (0.7%) |
| Patients contact per day | ||||
| Less than 10 patients | 216 (18.6%) | 70 (18.7%) | 68 (14.1%) | 78 (25.8%) |
| 10–40 patients | 581 (50.1%) | 197 (52.7%) | 260 (53.8%) | 124 (41.1%) |
| More than 40 patients | 326 (31.2%) | 107 (28.6%) | 155 (32.1%) | 100 (33.1%) |
| Poor or very poor | 228 (19.7%) | 50 (13.4%) | 125 (25.9%) | 53 (17.5%) |
| Excellent or very good | 931 (80.3%) | 324 (86.6%) | 358 (74.1%) | 249 (82.5%) |
| No | 908 (78.3%) | 300 (80.2%) | 356 (73.7%) | 252 (83.4%) |
| Yes | 251 (21.7%) | 74 (19.8%) | 127 (26.3%) | 50 (16.6%) |
| Influenza vaccine uptake | ||||
| Never | 723 (62.4%) | 215 (57.5%) | 301 (62.3%) | 207 (68.5%) |
| Once or more | 355 (30.6%) | 133 (35.6%) | 141 (29.2%) | 81 (26.8%) |
| Every year | 081 (07.0%) | 26 (7.0%) | 41 (8.5%) | 14 (4.6%) |
| Poor to good | 307 (26.5%) | 87 (23.3%) | 132 (27.3%) | 88 (29.1%) |
| Very good to excellent | 852 (73.5%) | 278 (76.7%) | 351 (72.7%) | 214 (70.9%) |
| Received COVID-19 training | ||||
| No | 833 (71.9%) | 262 (70.1%) | 324 (67.1%) | 247 (81.8%) |
| Yes | 326 (28.1%) | 112 (29.9%) | 159 (32.9%) | 55 (18.2%) |
| History of infection with COVID-19 | ||||
| No | 897 (77.4%) | 305 (81.6%) | 364 (75.4%) | 228 (75.5%) |
| Yes | 262 (22.6%) | 69 (18.4%) | 119 (24.6%) | 74 (42.5%) |
®Include lab technicians, radiology technicians, and occupational and physiotherapists.
HCWs' concerns and attitudes towards COVID-19 vaccines with gender and profession (n = 1159).
| Vaccine-related attitude | Total (%) | Gender (%) | Profession (%) | |||
|---|---|---|---|---|---|---|
| Female | Male | Physician | Nurse | Other | ||
| Long-lasting immunity | 767 (66.2%) | 34.4% | 32.8% | 35.0% | 34.4% | 31.5% |
| Get COVID-19 from the vaccine. | 640 (55.2%) | 55.0% | 55.6% | 54.0% | 56.9% | 54.0% |
| Effectiveness in COVID-19 prevention | 490 (42.3) | 57.0% | 58.4% | 57% | 59% | 56.6% |
| Vaccine long-term side effects. | 696 (60.1%) | 59.8% | 60.1% | 59.4% | 59.8% | 60.1% |
| Vaccine significant side-effects | 705 (60.8%) | 60.1% | 62.1% | 60.7% | 61.9% | 59.3% |
| Lack of vaccine related information | 1012 (87.3%) | 88.6% | 85.1% | 86.4% | 89.6% | 84.8% |
| Painful vaccine | 392 (33.8%) | 34.4% | 32.8% | 35% | 34.4% | 31.5% |
Factors predicting HCWs' intention to get the COVID-19 vaccine.
| Univariable analysis | Multivariate analysis | |||
|---|---|---|---|---|
| Intend to get vaccine | Hesitant | P-value | Adjusted OR (95% CI) | |
| Male | 250 (58.1%) | 180 (41.9%) | <0.001 | 2.7 (2.0–3.7) |
| Female | 188 (25.8%) | 541 (74.2%) | ||
| Under 30 years | 166 (42.3%) | 226 (57.7%) | 0.073 | 1.7 (1.1–2.8) |
| 30–49 years | 216 (35.5%) | 393 (64.5%) | 1.1 (0.7–1.7) | |
| Above 50 years | 56 (35.4%) | 102 (64.6%) | 1 | |
| Less than 5000 | 261 (31.3%) | 572 (68.7%) | <0.001 | 1 |
| More than 5000 | 177 (54.3%) | 149 (45.7%) | 0.75 (0.5–1.1) | |
| Physicians | 231 (61.8%) | 143 (38.2%) | <0.001 | 2.9 (2.0–4.2) |
| Nurse | 118 (24.4%) | 365 (75.6%) | 1.1 (0.7–1.6) | |
| Other HCWs® | 89 (29.5%) | 213 (70.5%) | 1 | |
| Governmental | 265 (32.6%) | 549 (67.4%) | <0.001 | 1 |
| Non-governmental | 173 (50.1%) | 172 (49.9%) | 1.4 (1.1–1.9) | |
| Never | 238 (32.9%) | 485 (67.1%) | <0.001 | 1 |
| Once or more | 153 (43.1%) | 202 (56.9%) | 1.6 (1.2–2.2) | |
| Every year | 47 (58.0%) | 34 (42.0%) | 4.0 (2.3–7.1) | |
| Less than 10 patients | 98 (45.4%) | 118 (54.6%) | 0.016 | |
| 10–40 patients | 219 (37.7%) | 326 (62.3%) | 1.19 (0.56–1.1) | |
| More than 40 patients | 121 (33.4%) | 241 (66.6%) | 1.4(0.47–1.1) | |
| Poor to good | 84 (27.4%) | 223 (72.6%) | <0.001 | 1.7 (1.3–2.4) |
| Very good to excellent | 354 (41.5%) | 498 (58.5%) | ||
| Yes | 90 (34.8%) | 172 (65.5%) | 0.218 | – |
| No | 348 (38.8%) | 90 (34.4%) | ||
| 3.3 (0.62) | 3.4 (0.62) | 0.001 | 0.63 (0.43–0.91) | |
| 3.3 (0.58) | 3.4 (0.55) | 0.009 | 1.2 (0.78–1.7) | |
| 2.6 (0.63) | 2.7 (0.58) | 0.289 | 1.2 (0.80–1.7) | |
| 2.7 (0.47) | 2.8 (0.0.37) | 0.008 | 0.85 (0.48–1.5) | |
Reference group.
Chi-square test.
Binary logistic regression model.
Independent T-test, OR = Odds Ratio, CI=Confidence Interval, ®Include lab technicians, radiology technicians, and occupational and physiotherapists.
Fig. 1Distribution of cues to actions expected to affect HCWs intention towards the COVID-19 vaccine.