| Literature DB >> 34934372 |
Najla Al-Ayyadhi1, Marwa Mohsen Ramadan2, Eman Al-Tayar3, Radhia Al-Mathkouri3, Shaimaa Al-Awadhi3.
Abstract
BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic has wrought havoc upon healthcare and economic systems worldwide. COVID-19 vaccines considered a beacon of hope for normal life to return. We wished to understand the willingness of people in Kuwait to be vaccinated against COVID-19.Entities:
Keywords: COVID-19; barriers; hesitancy; vaccine acceptance; vaccine uptake
Year: 2021 PMID: 34934372 PMCID: PMC8684437 DOI: 10.2147/RMHP.S338520
Source DB: PubMed Journal: Risk Manag Healthc Policy ISSN: 1179-1594
Figure 1Participation rate.
Sociodemographic Characteristics of the Participants
| Items | N=6943 | |
|---|---|---|
| No. | % | |
| Age groups in years | ||
| ● 18–29 | 1124 | 16.1 |
| ● 30–39 | 2020 | 29.1 |
| ● 40–59 | 2913 | 42.0 |
| ● ≥ 60 | 886 | 12.8 |
| Gender | ||
| ● Male | 2309 | 33.3 |
| ● Female | 4634 | 66.7 |
| Nationality | ||
| ● Kuwaiti | 5533 | 79.7 |
| ● Non-Kuwaiti | 1410 | 20.3 |
| Governorates | ||
| ● Capital | 2317 | 33.4 |
| ● Hawally | 2308 | 33.2 |
| ● Farwanya | 862 | 12.4 |
| ● Ahmadi | 1195 | 17.2 |
| ● Jahra | 261 | 3.8 |
| Education Level | ||
| ● ≤ 12 years | 886 | 12.8 |
| ● College/University Graduate | 4597 | 66.2 |
| ● Higher Education | 1460 | 21.0 |
| Occupation | ||
| ● Healthcare workers | 902 | 13.0 |
| ● Government sector | 2493 | 35.9 |
| ● Private sector | 1291 | 18.6 |
| ● Unemployed (including retirees, students, and housewives) | 2257 | 32.5 |
| Marital Status | ||
| ● Married | 4914 | 70.8 |
| ● Single (including divorced, widowed) | 2029 | 29.2 |
| Having Children | ||
| ● Yes | 5065 | 73.0 |
| ● No | 1878 | 27.0 |
| Having chronic disease | ||
| ● Yes | 2018 | 29.1 |
| ● No | 4925 | 70.9 |
| Previous seasonal influenza vaccine | ||
| ● Yes | 2570 | 37.0 |
| ● No | 3934 | 56.7 |
| ● Not sure | 439 | 6.3 |
| Family member or a friend had COVID-19 infection | ||
| ● Yes | 4958 | 71.4 |
| ● No | 1985 | 28.6 |
| Family member or a friend died of COVID-19 infection | ||
| ● Yes | 1955 | 28.2 |
| ● No | 4988 | 71.8 |
COVID-19 Vaccine Perception
| Studied Groups Item | N=6943 | ||
|---|---|---|---|
| No | Not sure | Yes | |
| N (%) | N (%) | N (%) | |
| - Do you think that COVID-19 vaccination, whenever available, would be safe? | 2535 (36.5%) | 3025 (43.6%) | 1383 (19.9%) |
| - Do you think that COVID-19 vaccination, whenever available, would be effective? | 2070 (29.8%) | 3289 (47.4%) | 1584 (22.8%) |
| - Do you think that the best way to avoid the complications of COVID-19 is by being vaccinated? | 2823 (40.7%) | 1895 (27.3%) | 2225 (32.0%) |
| - If COVID-19 vaccination is available, are you planning to get it? | 3528 (50.8%) | 1635 (23.5%) | 1780 (25.6%) |
| - Perception Score Mean± (SD)* | 3.4± (2.8) | ||
| ● Negative perception | 4635 (66.8%) | ||
| ● Positive perception | 2308 (33.2%) | ||
Notes: *Each question answers on 3-likert scale (No, Not sure, Yes) and the items were summed for a possible range of 0–8. Accordingly perception score was calculated according to the mean score: and participants with ≥4 considered as of positive perception and those <4 as negative perception.
Factors Affecting COVID-19 Vaccine Uptake Decision
| Studied Groups Factors | COVID-19 Vaccine Uptake Decision | ||
|---|---|---|---|
| No/ Not Sure n.= 5163 | Yes n.= 1780 | ||
| N (%) | N (%) | ||
| Age groups in years | |||
| ● 18–39 | 2297 (73.1%) | 847 (26.9%) | 0.024* |
| ● ≥ 40 | 2866 (75.4%) | 933 (24.6%) | |
| Gender | |||
| ● Male | 1428 (61.8%) | 881 (38.2%) | <0.001* |
| ● Female | 3735 (80.6%) | 899 (19.4%) | |
| Nationality | |||
| ● Kuwaiti | 4276 (77.3%) | 1257 (22.7%) | <0.001* |
| ● Non-Kuwaiti | 887 (62.9%) | 523 (37.1%) | |
| Governorates | |||
| ● Capital | 1769 (76.3%) | 548 (23.7%) | <0.001* |
| ● Hawally | 1614 (69.9%) | 694 (30.1%) | |
| ● Farwanya | 646 (74.9%) | 216 (25.1%) | |
| ● Ahmadi | 933 (78.1%) | 262 (21.9%) | |
| ● Jahra | 201 (77.0%) | 60 (23.0%) | |
| Education Level | |||
| ● ≤ 12 years education | 679 (76.6%) | 207 (23.4%) | <0.001* |
| ● University | 3532 (76.8%) | 1065 (23.2%) | |
| ● Higher Education | 952 (65.2%) | 508 (34.8%) | |
| Occupation | |||
| ● Healthcare workers | 591 (65.5%) | 311 (34.5%) | <0.001* |
| ● Government sector | 1956 (78.5%) | 537 (21.5%) | |
| ● Private sector | 827 (64.1%) | 464 (35.9%) | |
| ● Unemployed a | 1789 (79.3%) | 468 (20.7%) | |
| Marital Status | |||
| ● Married | 3646 (74.2%) | 1268 (25.8%) | 0.621 |
| ● Single (including divorced, widowed) | 1517 (74.8%) | 512 (25.2%) | |
| Having Children | |||
| ● No | 1361 (72.5%) | 517 (27.5%) | 0.028 * |
| ● Yes | 3802 (75.1%) | 1263 (24.9%) | |
| Having chronic disease | |||
| ● No | 3647 (74.1%) | 1278 (25.9%) | 0.352 |
| ● Yes | 1516 (75.1%) | 502 (24.9%) | |
| Previous seasonal influenza vaccine | |||
| ● No | 3545 (81.1%) | 828 (18.9%) | <0.001* |
| ● Yes | 1618 (63.0%) | 952 (37.0%) | |
| Family member or a friend had COVID-19 infection | |||
| ● No | 1397 (70.4%) | 588 (29.6%) | <0.001* |
| ● Yes | 3766 (76.0%) | 1192 (24.0%) | |
| Family member or a friend died of COVID-19 infection | |||
| ● No | 3686 (73.9%) | 1302 (26.1%) | 0.156 |
| ● Yes | 1477 (75.5%) | 478 (24.5%) | |
Notes: Row percentages. aUnemployed (including retirees, students, and housewives). - * P<0.05, that is, significant difference between hesitant and willing to take vaccine at the 5% level of significance.
Multiple Logistic Regression Analysis for Factors Affecting Decision Uptake of COVID-19 Vaccine
| Determinants | Decision Uptake of COVID-19 Vaccine Yes = 1780, No/ Not Sure = 5163 | ||
|---|---|---|---|
| B | Adjusted Odds Ratio (95% CI) | ||
| ● ≥ 40 years old | −0.941 | 0.390 (0.349–0.436) | 0.001* |
| ● Male Gender | 0.774 | 2.169 (1.915–2.457) | <0.001* |
| ● Education Level | |||
| ● High school | 0.309 | 1 (Ref) | <0.001* |
| ● University | 1.044 (0.869–1.255) | ||
| ● Post graduate | 1.362 (1.104–1.681) | ||
| ● Occupation | |||
| ● Unemployed a | 0.206 | 1 (Ref) | <0.001* |
| ● Government sector | 0.994 (0.855–1.156) | ||
| ● Private sector | 1.228 (1.008–1.497) | ||
| ● Healthcare workers | 1.366 (1.140–1.636) | ||
| ● Previous seasonal influenza vaccine | 0.520 | 2.706 (2.396–3.056) | <0.001* |
| ● Kuwaiti Nationality | 0.426 | 1.329 (1.131–1.561) | 0.001 * |
| ● Governorates | |||
| ● Capital | −0.071 | 1 (Ref) | 0.004* |
| ● Hawally | 1.119 (0.971–1.291) | ||
| ● Farwanya | 0.822 (0.674–1.002) | ||
| ● Ahmadi | 0.810 (0.653–1.004) | ||
| ● Jahra | 0.836 (0.602–1.160) | ||
| ● Family member or a friend had COVID-19 infection | −0.154 | 0.844 (0.743–0.958) | 0.009 * |
Notes: aUnemployed (including retirees, students, and housewives). The variables included in the equation: age, gender, nationality, residence governorate, occupation, educational level, having children, history of seasonal flu vaccination and family member or a friend had COVID-19 infection, * P<0.05, that is, significant difference between hesitant and willing to take vaccine at the 5% level of significance.
Figure 2Main barriers regarding hesitancy of COVID-19 vaccine uptake.
Main Barriers of COVID-19 Vaccine Uptake
| Barriers/Concerns | Total, N=5163 (%) | Hesitancy to Take COVID-19 Vaccine (No/ Not Sure) | ||
|---|---|---|---|---|
| No, 3528 n (%) | Not Sure, 1635 n (%) | P value | ||
| ● I am concerned about the vaccine’s side effects. | 4962 (96.1%) | 3409 (96.6%) | 1553 (95.0%) | 0.005* |
| ● I do not believe that this vaccine will stop the infection. | 3944 (76.4%) | 2960 (83.9%) | 984 (60.2%) | <0.001* |
| ● I do not need the vaccine because I do all the right things (wash hands and wear mask and gloves). | 3731 (72.3%) | 2890 (81.9%) | 841 (51.4%) | <0.001* |
| ● COVID-19 vaccination is a conspiracy. | 2847 (55.1%) | 2394 (67.9%) | 453 (27.7%) | <0.001* |
| ● I do not need the vaccine because I am young and healthy. | 2206 (42.7%) | 1784 (50.6%) | 422 (25.8%) | <0.001* |
| ● I do not believe in vaccines at all. | 1491 (28.9%) | 1277 (36.2%) | 214 (13.1%) | <0.001* |
| ● I do not like needles. | 1412 (27.3%) | 996 (28.2%) | 416 (25.4%) | 0.037* |
| ● I do not need the vaccine because I think I had the infection earlier. | 974 (18.9%) | 763 (21.6%) | 211 (12.9%) | <0.001* |
| ● I do not need the vaccine because I was tested positive for COVID-19. | 633 (12.3%) | 482 (13.7%) | 151 (9.2%) | <0.001* |
Notes: *The level of significance was P<0.05.
Figure 3Options to encourage future decision to take COVID-19 Vaccine.
Options to Encourage Uptake COVID-19 Vaccine
| No/ Not Sure 4810 | Yes | P value | |
|---|---|---|---|
| N (%) | N (%) | ||
| - Agree | 2793 (58.1%) | 1725 (97.0%) | <0.001* |
| - Not Sure | 1049 (21.8%) | 42 (2.4%) | |
| - Do not Agree | 968 (20.1%) | 11 (0.6%) | |
| - Agree | 1169 (24.3%) | 1586 (89.2%) | <0.001* |
| - Not Sure | 1833(38.1%) | 164 (9.2%) | |
| - Do not Agree | 1808 (37.6%) | 28 (1.6%) | |
| - Agree | 1215 (25.3%) | 1406 (79.1%) | <0.001* |
| - Not Sure | 1168 (24.2%) | 217 (12.2%) | |
| - Do not Agree | 2427 (50.5%) | 155 (8.7%) | |
| - Agree | 956 (19.9%) | 1344 (75.6%) | <0.001* |
| - Not Sure | 1549 (32.2%) | 311 (17.5%) | |
| - Do not Agree | 2305(47.9%) | 123 (6.9%) | |
| - Agree | 1004 (20.9%) | 1178 (66.3%) | <0.001* |
| - Not Sure | 1180 (24.5%) | 323 (18.2%) | |
| - Do not Agree | 2626 (54.6%) | 277 (15.6%) | |
| - Agree | 851(17.7%) | 1110 (62.4%) | <0.001* |
| - Not Sure | 1244 (25.9%) | 364 (20.5%) | |
| - Do not Agree | 2715 (56.4%) | 304 (17.1%) | |
| - Agree | 1756 (36.5%) | 0 (0.0%) | <0.001* |
| - Not Sure | 1918 (39.9%) | 260 (14.6%) | |
| - Do not Agree | 1136 (23.6%) | 1518 (85.4%) | |
| - Agree | 855 (17.8%) | 725 (40.8%) | <0.001* |
| - Not Sure | 1347 (28.0%) | 581 (32.7%) | |
| - Do not Agree | 2608 (54.2%) | 472 (26.5%) | |
Notes: * P<0.05, that is, significant difference between hesitant and willing to take vaccine at the 5% level of significance.
Figure 4Tools affecting perception towards covid-19 vaccine.