| Literature DB >> 35155687 |
Eman Omer Mohamed Yassin1, Haybat Awad Allah Faroug1, Zainab Bushra Yousif Ishaq1, Mustafa Mohammed Alfaki Mustafa1, Mohammed Meshal Abdulkareem Idris1, Samah Elnour Khalifa Widatallah1, Ghada Omer Hamad Abd El-Raheem1, Maha Y Suliman1.
Abstract
Elderly and patients with comorbid conditions have higher risk of infection and complications. Vaccination hesitancy is defined as the refusal of vaccine or the delay in accepting it despite the availability of vaccines and vaccination services. This study was aimed at assessing knowledge, perception, and acceptability of healthcare staff towards different types of COVID-19 vaccination. A multicenter hospital-based descriptive cross-sectional study was implemented to study the knowledge, perception, and acceptability of healthcare staff towards COVID-19 vaccination. Multistage sampling technique was applied. Data were collected through a self-administered questionnaire filled by the participants. 400 participants were studied. 61% of the participants were females, and the most frequent age reported was between 18 and 35 years (67%). A statistically significant association (p = 0.048) was found between knowledge about vaccination and professions. The most common vaccine type known and accepted was AstraZeneca vaccine. On assessing acceptability of COVID-19 vaccination, acceptance rate was high (63.8%) and 22.7% of the participants had already got vaccinated. The rejection rate among our staff was 27.4%. This study was conducted in April, 2021. Majority of our healthcare staff believed that vaccination is the key to combat the pandemic. One of the issues and concerns about vaccination was the safety and the risk of developing acute adverse events (p = 0.001). Encouraging factor for vaccination was the fear of getting infection themselves and their families. The present study revealed the presence of good knowledge and acceptability among medical staff towards COVID-19 vaccinations in Sudan.Entities:
Mesh:
Substances:
Year: 2022 PMID: 35155687 PMCID: PMC8832156 DOI: 10.1155/2022/3392667
Source DB: PubMed Journal: J Immunol Res ISSN: 2314-7156 Impact factor: 4.818
Characteristics of the study participants (n = 400).
| Characteristics |
| % | Characteristics |
| % |
|---|---|---|---|---|---|
| Gender | Chronic conditions | ||||
| Male | 156 | 39 | None | 338 | 84.5 |
| Female | 244 | 61 | Cardiovascular conditions (HTN, heart disease) | 14 | 3.5 |
| Age | Diabetes mellitus | 18 | 4.5 | ||
| 18-35 years | 268 | 67 | Asthma, COPD | 10 | 2.5 |
| 36-55 years | 124 | 31 | Others | 20 | 5 |
| >55 years | 8 | 2 | Any vaccination taken last year | ||
| Professions | Yes | 120 | 30 | ||
| Physician | 124 | 31 | No | 280 | 70 |
| Pharmacist | 60 | 15 | |||
| Nurse | 112 | 28 | |||
| Lab technician | 71 | 17.8 | |||
| Administrator | 19 | 4.8 | |||
| Others | 14 | 3.5 |
Assessment of knowledge of participants about COVID-19 vaccination based on their professions.
| Professions | |||||||||
|---|---|---|---|---|---|---|---|---|---|
| Knowledge | Doctors | % | Pharmacists | % | Nurses/technicians | % | Total | % |
|
| Are you aware of COVID-19 vaccines | |||||||||
| Yes | 119 | 35.7 | 55 | 16.5 | 159 | 47.7 | 333 | 91.2 | 0.048∗ |
| No | 5 | 15.6 | 5 | 15.6 | 22 | 68.8 | 32 | 8.8 | |
| Total | 124 | 34.0 | 60 | 16.4 | 181 | 49.6 | 365 | 100.0 | |
| COVID-19 vaccines safety | |||||||||
| Not safe | 71 | 37.0 | 28 | 14.6 | 93 | 48.4 | 192 | 53.5 | 0.404 |
| Safe | 52 | 31.1 | 31 | 18.6 | 84 | 50.3 | 167 | 46.5 | |
| Total | 123 | 34.3 | 59 | 16.4 | 177 | 49.3 | 359 | 100.0 | |
| Number of vaccines shots | |||||||||
| One shot | 12 | 31.6 | 6 | 15.8 | 20 | 52.6 | 38 | 10.4 | 0.152 |
| Two shots | 104 | 35.3 | 52 | 17.6 | 139 | 47.1 | 295 | 80.4 | |
| More than two shots | 7 | 25.9 | 2 | 7.4 | 18 | 66.7 | 27 | 7.4 | |
| Do not know | 1 | 14.3 | 0 | 0.0 | 6 | 85.7 | 7 | 1.9 | |
| Total | 124 | 33.8 | 93 | 25.3 | 183 | 49.9 | 367 | 100.0 | |
∗Statistically significant.
Figure 1Sources of information about COVID-19 vaccines as reported by participants (n = 400).
Figure 2Knowledge of participants about types of COVID-19 vaccines (n = 400).
Assessment of perception of participants about COVID-19 vaccination based on their professions.
| Professions | |||||||||
|---|---|---|---|---|---|---|---|---|---|
| Perception | Doctors | % | Pharmacists | % | Nurses/technicians | % | Total | % |
|
| Is vaccination the key to stop the pandemic | |||||||||
| Yes | 87 | 32.8 | 44 | 16.6 | 134 | 50.6 | 265 | 72.8 | 0.716 |
| No | 37 | 37.4 | 15 | 15.2 | 47 | 47.5 | 99 | 27.2 | |
| Total | 124 | 34.1 | 59 | 16.2 | 181 | 49.7 | 364 | 100.0 | |
| Vaccination for recovered people from COVID-19 | |||||||||
| Yes | 81 | 36.0 | 36 | 16.0 | 108 | 48.0 | 225 | 61.3 | 0.801 |
| No | 23 | 28.8 | 13 | 16.3 | 44 | 55.0 | 80 | 21.8 | |
| Do not know | 20 | 32.3 | 11 | 17.7 | 31 | 50.0 | 62 | 16.9 | |
| Total | 124 | 33.8 | 60 | 16.3 | 183 | 49.9 | 367 | 100.0 | |
| Vaccination for COVID-19 infected people | |||||||||
| Yes | 46 | 29.9 | 30 | 19.5 | 78 | 50.6 | 154 | 42.0 | 0.389 |
| No | 57 | 39.0 | 19 | 13.0 | 70 | 47.9 | 146 | 39.8 | |
| Do not know | 21 | 31.3 | 11 | 16.4 | 35 | 52.2 | 67 | 18.3 | |
| Total | 124 | 33.8 | 60 | 16.3 | 183 | 49.9 | 367 | 100.0 | |
Figure 3Perception of participants about criteria for vaccination (n = 400).
Acceptability of the participants regarding COVID-19 vaccination based on their professions.
| Professions | |||||||||
|---|---|---|---|---|---|---|---|---|---|
| Acceptability | Doctors | % | Pharmacists | % | Nurses/technicians | % | Total | % |
|
| Accepting to get vaccinated | |||||||||
| Yes | 89 | 38.2 | 39 | 16.7 | 105 | 45.1 | 233 | 63.8 | 0.032∗ |
| No | 34 | 25.8 | 21 | 15.9 | 77 | 58.3 | 132 | 36.2 | |
| Total | 123 | 33.7 | 60 | 16.4 | 182 | 49.9 | 365 | 100.0 | |
| Encourage family to take COVID-19 vaccine | |||||||||
| Yes | 94 | 38.2 | 39 | 15.9 | 113 | 45.9 | 246 | 68.1 | 0.135 |
| No | 30 | 26.8 | 17 | 15.2 | 65 | 58.0 | 112 | 31.0 | |
| Do not know | 0 | 0.0 | 1 | 33.3 | 2 | 66.7 | 3 | 0.8 | |
| Total | 124 | 34.3 | 57 | 15.8 | 180 | 49.9 | 361 | 100.0 | |
| When are you going to get vaccinated | |||||||||
| Already did | 41 | 50.0 | 13 | 15.9 | 28 | 34.1 | 82 | 22.7 | 0.001∗ |
| As soon as possible | 42 | 33.9 | 20 | 16.1 | 62 | 50.0 | 124 | 34.3 | |
| After few months | 20 | 35.7 | 12 | 21.4 | 24 | 42.9 | 56 | 15.5 | |
| Never | 20 | 20.2 | 14 | 14.1 | 65 | 65.7 | 99 | 27.4 | |
| Total | 123 | 34.1 | 59 | 16.3 | 179 | 49.6 | 361 | 100.0 | |
∗Statistically significant.
Association between acceptability of COVID-19 vaccination and the characteristics of the participants.
| Accepting to get vaccinated | |||||||
|---|---|---|---|---|---|---|---|
| Characteristics | Yes | % | No | % | Total | % |
|
| Gender | |||||||
| Male | 102 | 65.8 | 53 | 34.2 | 155 | 39.0 | 0.544 |
| Female | 152 | 62.8 | 90 | 37.2 | 242 | 61.0 | |
| Total | 254 | 64.0 | 143 | 36.0 | 397 | 100.0 | |
| Age | |||||||
| 18-35 years | 163 | 61.0 | 104 | 39.0 | 267 | 67.3 | 0.13 |
| 36-55 years | 85 | 69.1 | 38 | 30.9 | 123 | 31.0 | |
| >55 years | 6 | 85.7 | 1 | 14.3 | 7 | 1.8 | |
| Total | 254 | 64.0 | 143 | 36.0 | 397 | 100.0 | |
| Professions | |||||||
| Physician | 89 | 72.4 | 34 | 27.6 | 123 | 31.0 | |
| Pharmacist | 39 | 65.0 | 21 | 35.0 | 60 | 15.1 | 0.127 |
| Nurse | 67 | 60.4 | 44 | 39.6 | 111 | 28.0 | |
| Lab technician | 38 | 53.5 | 33 | 46.5 | 71 | 17.9 | |
| Administrator | 13 | 72.2 | 5 | 27.8 | 18 | 4.5 | |
| Others | 8 | 57.1 | 6 | 42.9 | 14 | 3.5 | |
| Total | 254 | 64.0 | 143 | 36.0 | 397 | 100.0 | |
| Chronic conditions | |||||||
| Yes | 40 | 66.67 | 20 | 33.33 | 60 | 15.11 | 0.638 |
| No | 214 | 63.5 | 123 | 36.5 | 337 | 84.89 | |
| Total | 254 | 63.98 | 143 | 36.02 | 397 | 100 | |
| Received any vaccination last year | |||||||
| Yes | 79 | 69.3 | 35 | 30.7 | 114 | 29.1 | 0.207 |
| No | 174 | 62.6 | 104 | 37.4 | 278 | 70.9 | |
| Total | 253 | 64.5 | 139 | 35.5 | 392 | 100.0 | |
| COVID-19 vaccine safety | 0.001∗ | ||||||
| Not safe | 120 | 57.4 | 89 | 42.6 | 209 | 54.0 | |
| Safe | 131 | 73.6 | 47 | 26.4 | 178 | 46.0 | |
| Total | 251 | 64.9 | 136 | 35.1 | 387 | 100.0 | |
∗Statistically significant.
Figure 4Types of vaccines accepted to be taken by the participants.
Figure 5Factors affecting the choice of COVID-19 vaccines as reported by the participants.
Figure 6Reasons behind not taking COVID-19 vaccines as reported by participants (n = 400).