| Literature DB >> 35911329 |
Mohamad Abdullah1, Awni D Shahait2, Rami Qaisieh3, Rakan Wleidat4, Mohammad Al-Ramahi5, Ghayda Bader6, Muawia O AbuRajab6, Tala A Haddad6, Ahmad Y Al-Omari6, Mohammad S Bani Issa6, Taima Bader6, Sama Bani Ahmad6, Hala Hani7, Haya Hani8, Abed AlFattah AlNsour9, Basil Abdin10.
Abstract
Background Since the spread of the COVID-19 virus, governments are putting significant resources into ending the pandemic. Vaccination arises as the best solution to get back to our everyday lives. However, we are now facing vaccine hesitancy, which is a critical problem. Methods This cross-sectional study was conducted between December 15, 2020, and March 1, 2021, using a validated online-based questionnaire; participants were compared using the Statistical Package for the Social Sciences (SPSS) program based on multiple factors. Results A total of 1607 participants throughout Jordan have responded to the questionnaire, among which 880 (54.8%) have bachelor's degrees, 236 (14.7%) have a high educational level (master and doctoral), and 491 (30.5%) have a diploma or less. Although this is a non-probable sample, it is not a representative sample as, according to United Nations Educational, Scientific and Cultural Organization (UNESCO), only 33.6% of the Jordan population have a tertiary education. Overall, 892 (55.5%) of the studied subjects had the intention to take the vaccine, distributed as follows: 156 (66.1%) of the high educational participants wanted to take the vaccine, compared to 512 (58.2%) of those who have bachelor's degree and 224 (45.6%) of those who have diploma or less (p < 0.001). Reading scientific articles talking about the vaccines and their effects (55.6%, p < 0.001), knowing the mechanism of action (45.2%, p = 0.007), getting proper medical advice (27.2%, p < 0.001), encouraged by the increasing number of infections and deaths (39.7%, p < 0.001), and the number of people who received the vaccine (16.1%, p < 0.001) were the most critical factors that played a role in taking the vaccine by all of the studied groups. Male gender (OR = 2.02; 95% CI = 1.54-2.64; p < 0.001), high income of more than 1000 JDs (1400 USD) (OR = 3.23; 95% CI = 2.21-4.71; p < 0.001), having an educational level of either high education (OR = 3.39; 95% CI = 2.07-5.55; p < 0.001) or bachelor degree (OR = 1.67; 95% CI = 1.25-2.24; p = 0.001), and being encouraged by the increasing number of infections and deaths caused by COVID-19 (OR = 1.97; 95% CI = 1.46-2.66; p < 0.001) were all significantly associated with the willingness to take the vaccine. Conclusion As the world rushes toward vaccination to end the pandemic, efforts are needed to end this phenomenon of vaccine hesitancy by enlightening people with the precise knowledge regarding the vaccine's mechanism of action, side effects, and efficacy focusing mainly on people with lower educational levels.Entities:
Keywords: covid-19; covid-19 vaccine; covid-19 vaccine hesitancy; vaccine development; vaccine hesitancy
Year: 2022 PMID: 35911329 PMCID: PMC9315990 DOI: 10.7759/cureus.26337
Source DB: PubMed Journal: Cureus ISSN: 2168-8184
Demographic features of the studied population
| Characteristics | Educational level | Total | P-value | |||
| High educational level (n = 236) | Bachelor’s degree (n = 880) | Diploma or less (n = 491) | ||||
| Age (years) | 36.2 ± 12.5 | 0.072 | ||||
| Gender | Male | 165 (69.9) | 511 (58.1) | 285 (58) | 961 (59.8) | 0.002 |
| Female | 71 (30.1) | 369 (41.9) | 206 (42) | 646 (40.2) | ||
| Residency | North territory | 25 (10.6) | 101 (11.5) | 64 (13) | 190 (11.8) | 0.003 |
| Middle territory | 203(86) | 739 (84) | 382 (77.8) | 1324 (82.4) | ||
| South territory | 8 (3.4) | 40 (4.5) | 45 (9.2) | 93 (5.8) | ||
| Income (Jordanian Dinars) | Less than 500 JDs | 39 (16.5) | 404 (45.9) | 339 (69) | 782 (48.7) | <0.001 |
| 500–1000 JDs | 84 (35.6) | 271 (30.8) | 113 (23) | 468 (29.1) | ||
| More than 1000 JDs | 113 (47.9) | 205 (23.3) | 39 (8) | 357 (22.2) | ||
| Marital status | Married | 157(66.5) | 456 (51.8) | 299 (60.9) | 912 (56.8) | <0.001 |
| Single | 72 (30.5) | 412 (46.8) | 167 (34) | 651 (40.5) | ||
| Other | 7 (3) | 12 (1.4) | 25 (5.1) | 44 (2.7) | ||
| Smoker | 95 (40.3) | 345 (39.2) | 208 (42.4) | 648 (40.3) | 0.52 | |
| Having any chronic diseases | 53 (22.5) | 147 (16.7) | 123 (25.1) | 323 (20.1) | 0.001 | |
| Having a history of COVID-19 infection | 51 (21.6) | 201 (22.8) | 102 (20.8) | 354 (22) | 0.665 | |
| Having a member of family/friends infected with COVID-19 | 207 (87.7) | 772 (87.7) | 402 (81.9) | 1381 (85.9) | 0.010 | |
General beliefs and concerns regarding COVID-19 vaccines
| Characteristics | Educational level | Total | P-value | |||
| High educational level (n = 236) | Bachelor’s degree (n = 880) | Diploma or less (n = 491) | ||||
| Knowing what COVID-19 vaccines are | 190 (80.5) | 622 (70.7) | 270 (55) | 1082 (67.3) | <0.001 | |
| Knowing the side effects of COVID-19 vaccines | 178 (75.4) | 574 (65.2) | 261 (53.2) | 1013 (63) | <0.001 | |
| Believed that COVID-19 vaccines are safe and useful | 208 (88.1) | 736 (83.6) | 356 (72.5) | 1300 (80.9) | <0.001 | |
| Believed that the COVID-19 vaccine will protect you | 144 (61) | 485 (55.1) | 209 (42.6) | 838 (52.1) | <0.001 | |
| Believed that COVID-19 vaccines will decrease the symptoms once infected | 136 (57.6) | 430 (48.9) | 216 (44) | 782 (48.7) | 0.008 | |
| Believed that elderly and immunocompromised patients should take the vaccine first | 178 (75.4) | 663 (75.3) | 314 (64) | 1155 (71.9) | <0.001 | |
| Believed that COVID-19 vaccines will decrease the mortality rate worldwide | 160 (67.8) | 544 (61.8) | 234 (47.7) | 938 (58.4) | <0.001 | |
| Concerns regarding COVID-19 future after vaccination | ||||||
| Willing to take the vaccine | 156 (66.1) | 512 (58.2) | 224 (45.6) | 892 (55.5) | <0.001 | |
| Feeling positive about the vaccine's success | 139 (58.9) | 412 (46.8) | 176 (35.8) | 727 (45.2) | <0.001 | |
| Will pay to take the vaccine if it is not for free | 151 (64) | 469 (53.3) | 204 (41.5) | 824 (51.3) | <0.001 | |
| Feeling positive that life will get back to normal | 148 (62.7) | 506 (57.5) | 236 (48.1) | 890 (55.4) | <0.001 | |
| The trusted vaccine to be received if willing to take | ||||||
| Pfizer-BioNTech COVID-19 vaccine | 126 (53.4) | 46 (52.4) | 210 (42.8) | 797 (49.6) | 0.001 | |
| Moderna COVID-19 vaccine | 45 (19.1) | 156 (17.7) | 50 (10.2) | 251 (15.6) | <0.001 | |
| Sinopharm COVID-19 vaccine | 66 (28) | 208 (23.6) | 79 (16.1) | 353 (22) | <0.001 | |
| Sputnik COVID-19 vaccine | 24 (10.2) | 84 (9.5) | 35 (7.1) | 143 (8.9) | 0.232 | |
| Oxford/AstraZeneca COVID-19 vaccine | 20 (8.5) | 75 (8.5) | 44 (9) | 139 (8.6) | 0.957 | |
| I do not know | 66 (28) | 288 (32.7) | 201 (40.9) | 555 (34.5) | 0.001 | |
Effect of different factors on the willingness to get the COVID-19 vaccine
| Characteristics | Willing to take the vaccine based on educational level (N = 892) | |||||
| Educational level | Total | P-value | ||||
| High educational level (n = 156) | Bachelor’s degree (n = 512) | Diploma or less (n = 224) | ||||
| Age | 37.6 ± 13 | 36.7 ± 12.8 | 37.8 ± 13.1 | 37.1 ± 12.9 | 0.008 | |
| Gender | Male | 110 (70.5) | 318 (62.1) | 152 (67.9) | 580 (65) | <0.001 |
| Female | 46 (29.5) | 194 (37.9) | 72 (32.1) | 312 (35) | ||
| Income | Less than 500 JDs | 21 (13.5) | 191 (37.3) | 149 (66.5) | 361 (40.5) | <0.001 |
| 500–1000 JDs | 45 (28.8) | 172 (33.6) | 55 (24.6) | 272 (30.5) | ||
| More than 1000 JDs | 90 (57.7) | 149 (29.1) | 20 (8.9) | 259 (29) | ||
| Residency | North territory | 8 (5.1) | 53 (10.4) | 33 (14.7) | 94 (10.5) | <0.001 |
| Middle territory | 144 (92.3) | 444 (86.7) | 178 (79.5) | 766 (85.9) | ||
| South territory | 4 (2.6) | 15 (2.9) | 13 (5.8) | 32 (3.6) | ||
| Having a history of chronic disease | 38 (24.4) | 97 (18.9) | 63 (28.1) | 198 (22.2) | 0.062 | |
| Did not get COVID-19 infection before | 128 (82.1) | 412 (80.5) | 181 (80.8) | 721 (80.8) | 0.003 | |
| Having a member of family/friends infected with COVID-19 | 141 (90.4) | 457 (89.3) | 188 (83.9) | 786 (88.1) | 0.009 | |
| Encouraging factors to get vaccinated | ||||||
| Reading scientific articles | 109 (69.9) | 303 (59.2) | 84 (37.5) | 496 (55.6) | <0.001 | |
| Knowing the mechanism of action of the COVID-19 vaccine | 74 (47.4) | 248 (48.4) | 81 (36.2) | 403 (45.2) | 0.007 | |
| Medical advice | 34 (21.8) | 148 (28.9) | 61 (27.2) | 243 (27.2) | <0.001 | |
| Social media and family effect | 10 (6.4) | 59 (11.5) | 34 (15.2) | 103 (11.5) | 0.293 | |
| Past medical history | 20 (12.8) | 82 (16) | 19 (8.5) | 121 (13.6) | 0.553 | |
| The high number of infections and deaths | 58 (37.2) | 216 (42.2) | 80 (35.7) | 354 (39.7) | <0.001 | |
| Duration of immunity | 22 (14.1) | 128 (25) | 37 (16.5) | 187 (21) | 0.199 | |
| Knowing the side effects of the vaccine | 18 (11.5) | 60 (11.7) | 17 (7.6) | 95 (10.7) | <0.001 | |
| Increasing the number of people receiving the vaccine | 21 (13.5) | 90 (17.6) | 33 (14.7) | 144 (16.1) | 0.001 | |
Multivariant regression analysis of the factors affecting the willingness to get the COVID-19 vaccine
| Variables | Regression analysis | |||
| OR | 95% CI | P-value | ||
| Age | 0.98 | 0.97–0.99 | 0.002 | |
| Gender | Male | 2.02 | 1.54–2.64 | <0.001 |
| Female | 0.50 | 0.38–0.65 | <0.001 | |
| Income | Less than 500 JDs (700 USD) | 0.31 | 0.21–0.45 | <0.001 |
| 500–1000 JDs (700-1400 USD) | 0.62 | 0.40–0.95 | 0.027 | |
| More than 1000 JDs (1400 USD) | 3.23 | 2.21–4.71 | <0.001 | |
| Residency | North territory | 1.52 | 0.74–3.13 | 0.26 |
| Middle territory | 1.59 | 0.86–2.95 | 0.14 | |
| South territory | 0.66 | 0.32–1.36 | 0.26 | |
| Educational level | High educational level | 3.39 | 2.07–5.55 | <0.001 |
| Bachelor | 1.67 | 1.25–2.24 | 0.001 | |
| Diploma or less | 0.30 | 0.18–0.48 | <0.001 | |
| Did not get COVID-19 infection | 1.25 | 0.91–1.73 | 0.168 | |
| Having a member of family/friends infected with COVID-19 | 1.27 | 0.86–1.86 | 0.23 | |
| Being encouraged by reading scientific articles | 1.20 | 0.92–1.57 | 0.177 | |
| Being encouraged by knowing the mechanism of action of the vaccine | 0.65 | 0.50–0.84 | 0.002 | |
| Being encouraged by medical advice | 1.06 | 0.79–1.44 | 0.69 | |
| Being encouraged by the high number of infections and deaths | 1.97 | 1.46–2.66 | <0.001 | |
| Being encouraged by knowing the side effects of the vaccine | 0.50 | 0.34–0.71 | <0.001 | |
| Being encouraged by the increasing number of people vaccinated against COVID-19 | 0.59 | 0.43–0.81 | 0.001 | |