| Literature DB >> 34636006 |
Walaa M Shehata1, Ahmed A Elshora2, Mira M Abu-Elenin3.
Abstract
Safe and effective vaccines became an important preventive tool against novel corona virus disease infection. Physicians were prioritized for early vaccination since they are at higher risk for contagion of the infection and they might affect the general populations' uptake of the vaccine. This study aimed to examine the acceptability of COVID-19 vaccines and the underpinnings of reluctance to uptake the vaccine among working physicians in Egypt. A cross-sectional study was conducted for 3 months, recruiting 1268 physicians using a snowballing random sampling technique. A self-administered electronic questionnaire was deployed to collect related data. Of participants, 24% expressed their acceptance towards COVID-19 vaccines, 39% would wait for further review, while 36.7% did not agree to get vaccinated. Findings revealed that 22% of them were vaccinated and the significant determinants of unacceptability included age, gender, higher educational attainments, prior infection, lack of direct patients' contact, and working in rural health facilities (p < 0.05). The most common reasons beyond their reluctance were fear of the vaccines' adverse effects and the short duration of its clinical trials (60% and 49.5%). Physicians had a low intention to receive COVID-19 vaccines particularly between females, senior staff, and those who had a low self-perceived risk for the infection. Integrated approaches should be designed to address concerns and factors associated with vaccine unacceptability to reduce vaccination reluctance between physicians, hence the general population.Entities:
Keywords: Acceptance; COVID-19; Egypt; Healthcare workers (HCWs); Infection; Physicians; Vaccines
Mesh:
Substances:
Year: 2021 PMID: 34636006 PMCID: PMC8504568 DOI: 10.1007/s11356-021-16574-8
Source DB: PubMed Journal: Environ Sci Pollut Res Int ISSN: 0944-1344 Impact factor: 5.190
Sociodemographic characteristics of the studied physicians
| Variables | Percentage | |
|---|---|---|
| 18-30 | 113 | 8.9 |
| 31-40 | 907 | 71.5 |
| 41-50 | 200 | 15.8 |
| 51-60 | 48 | 3.8 |
| Male | 515 | 40.6 |
| Female | 753 | 59.4 |
| Single | 246 | 19.4 |
| Married | 1022 | 80.6 |
| Urban | 1143 | 90.1 |
| Rural | 125 | 9.9 |
| Urban area | 979 | 77.2 |
| Suburban area | 119 | 9.4 |
| Rural area | 170 | 13.4 |
| Bachelor degree | 54 | 4.3 |
| Diploma degree | 79 | 6.2 |
| Associate degree | 105 | 8.3 |
| Master’s degree | 456 | 36 |
| Doctorate’s degree | 574 | 45.3 |
| Frontline position | 715 | 56.4 |
| Others, no direct patient contact | 553 | 43.6 |
| Primary medical and medical subspecialty | 551 | 43.5 |
| Primary surgical and surgical subspecialty | 139 | 11.0 |
| Diagnostic subspecialty | 306 | 24.1 |
| Others | 272 | 21.5 |
| Not enough | 320 | 25.2 |
| Enough | 712 | 56.2 |
| Enough and saving | 236 | 18.6 |
| Bachelor degree | 54 | 4.3 |
| Diploma degree | 79 | 6.2 |
| Associate degree | 105 | 8.3 |
| Master’s degree | 456 | 36 |
| Doctorate’s degree | 574 | 45.3 |
| No chronic morbidity | 835 | 65.9 |
| Cardiovascular diseases | 73 | 5.8 |
| COPD-lung diseases | 29 | 2.3 |
| Diabetes mellitus | 15 | 1.2 |
| Cancer | 3 | 0.2 |
| Immunocompromised/on immunosuppressant | 27 | 2.1 |
| Obesity | 112 | 8.8 |
| Smoking | 25 | 2.0 |
| Others | 149 | 11.8 |
Risks of COVID-19 infection and vaccine acceptance among the studied physicians (n=1268)
| I was diagnosed with COVID-19 | 243 | 19.2 |
| A family member was diagnosed with COVID-19 | 528 | 41.6 |
| Someone I personally know diagnosed with COVID-19 | 371 | 29.3 |
| No one I personally know diagnosed with COVID-19 | 126 | 9.9 |
| No | 465 | 36.7 |
| Wait for review | 495 | 39.0 |
| Yes | 308 | 24.3 |
| No | 274 | 21.6 |
| Not sure | 496 | 39.1 |
| Yes | 498 | 39.3 |
| Mandated by employer | 65 | 5.1 |
| Mandated by the government | 424 | 33.4 |
| Not sure | 343 | 27.1 |
| Voluntary | 436 | 34.4 |
| No | 986 | 77.8 |
| Yes | 282 | 22.2 |
| No, I already have the disease and I am immune to it (not diagnosed by PCR). | 234 | 18.5 |
| No, I am sure that I won’t get infected. | 124 | 9.8 |
| No, I have already recovered and won’t re-infect (diagnosed by PCR). | 28 | 2.1 |
| Yes, I believe I will get mild symptoms that will not require hospitalization. | 706 | 55.7 |
| Yes, I believe I will get moderate symptoms that probably will need hospitalization. | 160 | 12.6 |
| Yes, I believe I will get severe symptoms that will probably require admission to the intensive care unit. | 16 | 1.3 |
| No | 475 | 37.5 |
| Yes, but with no direct patients’ contact | 381 | 30.0 |
| Yes, with patients’ contact | 412 | 32.5 |
Sociodemographic characteristics studied participated physicians as predictors for vaccine acceptance
| 18-30 | 37(32.7%) | 15(13.3%) | 61(54%) | |
| 31-40 | 341(37.6%) | 219(24.1%) | 347(38.3%) | |
| 41-50 | 66(33%) | 62(31%) | 72(36%) | |
| 51-60 | 21(43.8%) | 12(25%) | 15(31.2%) | |
| Male | 169(32.8%) | 123(23.9%) | 223(43.3%) | |
| Female | 296(39.3%) | 185(24.6%) | 272(36.1%) | |
| Single | 89(36.1%) | 71(28.9%) | 86(35%) | |
| Married | 376(36.8%) | 237(23.2%) | 409(40%) | |
| Urban | 411(36%) | 274(24%) | 458(40%) | |
| Rural | 54(43.2%) | 34(27.2%) | 37(29.6%) | 0.07 |
| Bachelor degree | 6(11.1%) | 6(11.1%) | 42(77.8%) | |
| Diploma degree | 34(43.1%) | 20(25.3%) | 25(31.6%) | <0.0001* |
| Associate degree | 21(20%) | 15(14.3%) | 69 (65.7%) | |
| Master's degree | 172(37.7%) | 135(29.6%) | 149(32.7%) | |
| Doctorate degree | 232(40.4%) | 132(23%) | 210(36.6%) | |
| Not enough | 113(35.3%) | 91(28.4%) | 116(36.3%) | |
| Enough | 275(38.6%) | 168(23.6%) | 269(37.8%) | |
| Enough andsaving | 77(32.6%) | 49(20.8%) | 110(46.6%) | |
| Frontline position | 238(33.3%) | 187(26.2%) | 290(40.5%) | |
| Others, no direct patients contact | 227(41%) | 121(21.9%) | 205(37.1%) | |
| Primary medical and medical subspecialty | 195(35.4%) | 116 (21 %) | 240(43.6%) | |
| Primary surgical and surgical subspecialty | 33(23.7%) | 30 (21.6%) | 76(54.7%) | |
| Diagnostic subspecialty | 149 (48.7%) | 90 (29.4%) | 67 (21.9%) | |
| Others | 88(32.3%) | 72(26.5%) | 112(41.2%) | |
| Urban area | 361 (36.9%) | 223 (22.8%) | 395 (40.3%) | |
| Suburban area | 57 (33.5%) | 69 (40.6%) | 44 (25.9%) | 0.014* |
| Rural area | 47 (39.5%) | 41 (34.5%) | 31 (26%) | |
| I was diagnosed with COVID-19 | 70(28.8%) | 96(39.5%) | 77(31.7%) | |
| A family member was diagnosed with COVID-19 | 260(49.3%) | 83(15.7%) | 185 (35%) | |
| Someone I personally know diagnosed with COVID-19 | 93(25.1%) | 101(27.2%) | 177 (47.7%) | |
| No one I personally know diagnosed with COVID-19 | 42(33.3%) | 28(22.3%) | 56 (44.4%) | |
| No, I already have the disease and I am immune to it (not diagnosed by PCR). | 96(41%) | 55(23.5%) | 83(35.5%) | MCET |
| No, I am sure that I won’t get infected. | 43(34.7%) | 21(16.9%) | 60(48.4%) | |
| No, I have already recovered and won’t re-infect (diagnosed by PCR). | 0(0%) | 16(57.1%) | 12(42.9%) | |
| Yes, I believe I will get mild symptoms that will not require hospitalization. | 268(38.0%) | 171(24.2%) | 267(37.8%) | |
| Yes, I believe I will get moderate symptoms that probably will need hospitalization. | 58(36.3%) | 45(28.1%) | 57(35.6%) | |
| Yes, I believe I will get severe symptoms that will probably require admission to the intensive care unit. | 0(0%) | 0(0%) | 16(100%) | |
| No | 205(43.2%) | 88(18.5%) | 182(38.3%) | |
| Yes, but no direct patients’ contact | 125(32.8%) | 111(29.1%) | 145(38.1%) | |
| Yes, with patients’ contact | 135(32.7%) | 109(26.5%) | 186(40.8%) | |
X Chi square test, MCET Monte Carlo exact test
*P <0.05
Vaccination history and some medical comorbidity of studied physicians by vaccine acceptance
| No( | 380(44.4%) | 212(24.8%) | 264(30.8%) | |
| Yes ( | 85(20.6%) | 96(23.3%) | 231(56.1%) | |
| No( | 110 (36.3%) | 84 (27.7%) | 109 (36%) | |
| Yes( | 295 (38.7%) | 169 (22.1%) | 299 (39.2%) | |
| No applicable( | 60 (29.7%) | 55(27.2%) | 87(43.1%) | |
| No | 284 (34%) | 207 (24.8%) | 344 (41.2%) | |
| Yes | 181(41.8%) | 101 (23.3%) | 151 (34.9%) | |
| No ( | 436 (36.5%) | 293 (24.5%) | 466 (39%) | |
| Yes | 29 (39.7%) | 15 (20.6%) | 29 (39.7%) | |
| No ( | 459 (36.6%) | 302 (24.1%) | 492 (39.3%) | |
| Yes ( | 6 (40%) | 6 (40%) | 3 (20%) | |
| No ( | 459 (37%) | 295 (23.8%) | 485 (39.2%) | MCET |
| Yes ( | 6 (20.7%) | 13 (44.8%) | 10 (34.5%) | |
| No ( | 462 (36.5%) | 308 (24.3) | 495 (39.1%) | MCET |
| Yes ( | 3 (100) | 0 | 0 | |
| No ( | 430 (37.2%) | 288 (24.9%) | 438 (37.8%) | |
| Yes ( | 35 (31.3%) | 20 (17.9%) | 57 (50.9%) | |
| No ( | 451 (36.3%) | 301 (24.3%) | 489 (39.4%) | |
| Yes ( | 14 (51.9%) | 7 (25.9%) | 6 (22.2%) | |
| No ( | 458 (36.8%) | 296 (23.8%) | 489 (39.4%) | |
| Yes ( | 7 (28%) | 12 (48%) | 6 (24%) | |
| No ( | 384 (34.3%0 | 280 925%) | 455 (40.7%) | |
| Yes ( | 81 (54.4%) | 28 (18.8%) | 40 (26.8%) | |
X Chi square test, MCET Monte Carlo exact test
*P <0.05
Fig. 1Geographical map for location of El-Gharbia governorate in Egypt (Egypt’s Government Services Portal 2021)
Fig. 2Reasons for COVID-19 vaccine unacceptance