| Literature DB >> 35891323 |
Ilias Mahmud1, Mahmudul Hassan Al Imam2,3, Divya Vinnakota4, Khalid A Kheirallah5, Mahmoud F Jaber1, Adil Abalkhail1, Ibrahim Alasqah1, Thamer Alslamah1, Russell Kabir6.
Abstract
OBJECTIVE: This study assessed the intention and predictors of accepting the corona virus disease 2019 (COVID-19) vaccine in Jordan.Entities:
Keywords: COVID-19; Jordan; SARS-CoV-2; health belief model; vaccine hesitancy
Year: 2022 PMID: 35891323 PMCID: PMC9323963 DOI: 10.3390/vaccines10071159
Source DB: PubMed Journal: Vaccines (Basel) ISSN: 2076-393X
Socio-demographic factors associated with the intention to receive a COVID-19 vaccine in Jordan.
| Variables | Levels | Intention to Receive a COVID-19 Vaccine | ||||
|---|---|---|---|---|---|---|
| No | Yes | Total | Univariable Analysis | Multivariable Analysis a | ||
| N (Row %) | N (Col. %) | OR (95% CI of OR, | ||||
| Age group | 18–29 | 61 (11.9) | 452 (88.1) | 513 (22.2) | - | - |
| 30–39 | 70 (6.9) | 951 (93.1) | 1021 (44.3) | 1.83 (1.28–2.63, | 0.98 (0.53–1.81, | |
| 40–49 | 88 (20.0) | 351 (80.0) | 439 (19.0) | 0.54 (0.38–0.77, | 0.81 (0.43–1.54, | |
| 50–64 | 157 (47.0) | 177 (53.0) | 334 (14.5) | 0.15 (0.11–0.21, | 0.20 (0.10–0.41, | |
| Sex | Female | 233 (18.5) | 1024 (81.5) | 1257 (54.5) | - | - |
| Male | 143 (13.6) | 906 (86.4) | 1049 (45.5) | 1.44 (1.15–1.81, | 2.56 (1.78–3.72, | |
| Education | Secondary or below | 228 (25.3) | 674 (74.7) | 902 (39.1) | - | - |
| Tertiary | 148 (10.5) | 1257 (89.5) | 1405 (60.9) | 2.87 (2.29–3.61, | 1.01 (0.64–1.58, | |
| Nationality | Non-Jordanian | 74 (20.2) | 293 (79.8) | 367 (15.9) | - | - |
| Jordanian | 302 (15.6) | 1638 (84.4) | 1940 (84.1) | 1.37 (1.03–1.81, | 0.65 (0.44–0.97, | |
| Region | Other cities | 362 (27.2) | 967 (72.8) | 1329 (57.6) | - | - |
| Amman | 14 (1.4) | 964 (98.6) | 978 (42.4) | 25.78 (15.60-46.43, p < 0.001) | 51.78 (27.74-104.05, p < 0.001) | |
| Occupation | Health professionals | 30 (12.0) | 220 (88.0) | 250 (12.7) | - | - |
| Non-health professionals | 38 (5.6) | 644 (94.4) | 682 (34.5) | 2.31 (1.39–3.81, | 1.57 (0.87–2.84, | |
| Other | 230 (32.3) | 483 (67.7) | 713 (36.1) | 0.29 (0.19–0.43, | 0.16 (0.08–0.30, | |
| Student | 45 (13.6) | 285 (86.4) | 330 (16.7) | 0.86 (0.52–1.41, | 0.53 (0.24–1.13, | |
| Receive flu vaccine every year | Yes | 44 (18.3) | 197 (81.7) | 241 (10.4) | - | - |
| No | 332 (16.1) | 1734 (83.9) | 2066 (89.6) | 1.17 (0.82–1.64, | - | |
| History of COVID-19 infection | Yes | 240 (22.2) | 841 (77.8) | 1081 (46.9) | – | – |
| No | 136 (11.1) | 1090 (88.9) | 1226 (53.1) | 2.29 (1.82–2.88, | 5.97 (3.30–11.48, | |
| History of COVID-19 infection in the family | Yes | 255 (18.1) | 1153 (81.9) | 1408 (61.0) | – | – |
| No | 121 (13.5) | 778 (86.5) | 899 (39.0) | 1.42 (1.13–1.80, | 1.02 (0.52–1.93, | |
a All variables found significant in the unadjusted analysis were included in the adjusted model to identify potential predictors of intent to receive a COVID-19 vaccine.
Health belief model predictors of a positive intention to receive a COVID-19 vaccine in Jordan.
| Variables | Levels | Intention to Receive COVID-19 Vaccine | ||||
|---|---|---|---|---|---|---|
| No | Yes | Total | Univariable Analysis | Multivariable Analysis a | ||
| N (Row %) | N (Col. %) | OR (95% CI of OR, | ||||
| Perceived susceptibility | ||||||
| Chance of getting COVID-19 in the future is very high | Disagree | 301 (26.5) | 835 (73.5) | 1136 (49.2) | - | - |
| Agree | 75 (6.4) | 1096 (93.6) | 1171 (50.8) | 5.27 (4.05–6.93, | 2.81 (1.84–4.34, | |
| Currently, getting COVID-19 is a strong possibility | Disagree | 229 (27.9) | 591 (72.1) | 820 (35.5) | - | - |
| Agree | 147 (9.9) | 1340 (90.1) | 1487 (64.5) | 3.53 (2.81–4.45, | 5.00 (2.82–9.04, | |
| Perceived severity | ||||||
| Complications of COVID-19 are very serious | Disagree | 191 (35.9) | 341 (64.1) | 532 (23.1) | - | - |
| Agree | 185 (10.4) | 1590 (89.6) | 1775 (76.9) | 4.81 (3.81–6.08, | 9.93 (5.35–18.76, | |
| I will be very sick if I get COVID-19 | Disagree | 177 (24.9) | 534 (75.1) | 711 (30.8) | - | - |
| Agree | 199 (12.5) | 1397 (87.5) | 1596 (69.2) | 2.33 (1.86–2.92, | 0.14 (0.06–0.28, | |
| Perceived benefits | ||||||
| Vaccination will decrease my chances of getting COVID-19 | Disagree | 307 (63.7) | 175 (36.3) | 482 (20.9) | - | - |
| Agree | 69 (3.8) | 1756 (96.2) | 1825 (79.1) | 44.65 (33.14–60.89, | 100.77 (57.09–186.95, | |
| Perceived barriers | ||||||
| Concerned about the efficacy of the vaccine | Disagree | 17 (1.4) | 1185 (98.6) | 1202 (52.1) | - | - |
| Agree | 359 (32.5) | 746 (67.5) | 1105 (47.9) | 0.03 (0.02–0.05, | 0.22 (0.09–0.46, | |
| Concerned about the safety/side effects of the vaccine | Disagree | 17 (1.6) | 1068 (98.4) | 1085 (47.0) | - | - |
| Agree | 359 (29.4) | 863 (70.6) | 1222 (53.0) | 0.04 (0.02–0.06, | 0.19 (0.08–0.43, | |
| Concerned about the halal nature of the vaccine | Disagree | 194 (10.9) | 1587 (89.1) | 1781 (77.2) | - | - |
| Agree | 182 (34.6) | 344 (65.4) | 526 (22.8) | 0.23 (0.18–0.29, | 2.24 (1.31–3.92, | |
| Cues to action | ||||||
| Will get vaccine after receiving complete information | Disagree | 64 (14.7) | 371 (85.3) | 435 (18.9) | - | - |
| Agree | 312 (16.7) | 1560 (83.3) | 1872 (81.1) | 0.86 (0.64–1.15, | - | |
| Will get vaccine if it is first accepted by many people | Disagree | 80 (8.0) | 922 (92.0) | 1002 (43.4) | - | - |
| Agree | 296 (22.7) | 1009 (77.3) | 1305 (56.6) | 0.30 (0.23–0.38, | 0.29 (0.16–0.53, | |
| Will get vaccine if it does not cause undue problems to vaccinated people | Disagree | 64 (5.7) | 1062 (94.3) | 1126 (48.8) | - | - |
| Agree | 312 (26.4) | 869 (73.6) | 1181 (51.2) | 0.17 (0.13–0.22, | 0.21 (0.11–0.41, | |
a All variables found significant in the unadjusted analysis were included in the adjusted model to identify potential predictors of intent to receive a COVID-19 vaccine.