| Literature DB >> 34594141 |
Van Tap Nguyen1, Minh Quan Nguyen2, Ngoc Thi Le3, Thi Ngoc Han Nguyen4, Giao Huynh5.
Abstract
BACKGROUND: Vaccination is one of the interventions that can be employed to control coronavirus disease (COVID-19). The aim of this study is to identify factors that affect vaccination intention among health science students, by using the health belief model (HBM) as a theoretical framework.Entities:
Keywords: COVID-19 vaccine; Vietnam; health science; intention; student
Year: 2021 PMID: 34594141 PMCID: PMC8478496 DOI: 10.2147/RMHP.S328665
Source DB: PubMed Journal: Risk Manag Healthc Policy ISSN: 1179-1594
Demographics and COVID-19 Vaccine Acceptance (N= 412)
| Variables | Overall n (%) |
|---|---|
| Age (Mean ± SD) | 22.5±2.8 |
| Gender | |
| Male | 189(45.9) |
| Female | 223(54.1) |
| Religion | |
| No | 366(88.8) |
| Yes | 46(11.2) |
| Education Field | |
| General medicine | 219(53.2) |
| Preventive medicine | 49(11.9) |
| Public health | 144(34.9) |
| Year of education | |
| 1 | 87(21.1) |
| 2 | 106(25.7) |
| 3 | 48(11.7) |
| 4 | 50(12.1) |
| 5 | 55(13.4) |
| 6 | 66(16.0) |
| Source of information on COVID-19 vaccines | |
| Television | 332(80.6) |
| Social media | 342(83.0) |
| Relatives | 270(65.5) |
| Website of Hospital/Ministry of Health | 264(64.1) |
| COVID-19 vaccine acceptance | |
| Yes | 320 (77.7) |
| No | 92 (22.3) |
Knowledge and Attitudes Toward the COVID-19 (N=412)
| Knowledge Toward the COVID-19 | Correct Answer No. (%) |
|---|---|
| COVID-19 is caused by a virus ( | 392(95.2) |
| COVID-19 spreads via respiratory droplets of infected people ( | 212(51.5) |
| Fever, cough, dry cough, or tiredness are common symptoms of COVID-19 ( | 404(98.1) |
| Isolation at least 14 days ( | 293(71.1) |
| The COVID-19 vaccine is available for the entire population ( | 168(40.8) |
| Specific treatment ( | 316(76.7) |
| Washing hands, wearing face masks, avoiding crowded places, social distance ( | 347(84.2) |
| Patients with underlying chronic diseases are more likely to have severe symptoms ( | 349(84.7) |
| Health care workers are more likely to be at risk of infection ( | 383(92.9) |
| COVID-19 could be fatal ( | 368(89.3) |
| Overall Knowledge ( | 7.8 ± 1.5 |
| Attitudes toward the COVID-19 | |
| Susceptibility and Severity ( | 3.1 ± 0.7 |
| Benefits of vaccination ( | 3.1 ± 0.7 |
| Barriers of vaccination ( | 2.4 ± 0.5 |
| Cues to action ( | 4.0 ± 0.6 |
Factors Associated with Vaccination Acceptance in Univariate Analysis (N= 412)
| Variables | COVID-19 Vaccine Intention | p | |
|---|---|---|---|
| Yes, n (%) 320 (77.7%) | No, n (%) 92 (22.3%) | ||
| Age (Mean ± SD) | 22.6 ± 2.7 | 22.2 ± 2.8 | 0.149 |
| Gender | |||
| Male | 146(77.3) | 43(22.7) | 0.850 |
| Female | 174(78.0) | 49(22.0) | |
| Religion | |||
| No | 288(78.7) | 78(21.3) | 0.161 |
| Yes | 32(69.6) | 14(30.4) | |
| Education Field | |||
| General Medicine | 178(81.3) | 41(18.7) | |
| Preventive Medicine | 21(42.9) | 28(57.1) | <0.001 |
| Public health | 121(84.0) | 23(16.0) | |
| Year of education | |||
| 1 | 67(77.0) | 20(23.0) | |
| 2 | 67(63.2) | 39(36.8) | |
| 3 | 38(79.2) | 10(20.8) | <0.001* |
| 4 | 48(96.0) | 2(4.0) | |
| 5 | 50(90.9) | 5(9.1) | |
| 6 | 50(75.8) | 16(21.2) | |
| Source of information on COVID-19 vaccines | |||
| Television | 261(78.6) | 71(21.4) | 0.348 |
| Social media | 282(82.5) | 60(17.5) | <0.001 |
| Relatives | 225(83.3) | 45(16.7) | <0.001 |
| Website of Hospital/Ministry of Health | 216(81.8) | 48(18.2) | 0.007 |
| 7.9 ± 1.4 | 7.5 ± 1.7 | 0.021** | |
| Susceptibility and Severity | 3.2 ± 0.7 | 2.9 ± 0.9 | <0.001** |
| Benefits of vaccination | 3.2 ± 0.7 | 2.9 ± 0.6 | <0.001** |
| Barriers of vaccination | 2.3 ± 0.5 | 2.5 ± 0.6 | <0.001** |
| Cues to action | 4.1 ± 0.6 | 3.8 ± 0.5 | <0.001** |
Notes: *Fisher exact, **t-test.
Multivariable Logistic Analysis of Factors Associated with COVID-19 Vaccine Acceptance (N= 412)
| Variables | COVID-19 Vaccine Intention | OR (95% CI) | p | |
|---|---|---|---|---|
| Yes, n (%) 320 (77.7%) | No, n (%) 92 (22.3%) | |||
| Age (Mean ± SD) | 22.6 ± 2.7 | 22.2 ± 2.8 | 1.1 (0.97–1.19) | 0.150 |
| Education Field | ||||
| General Medicine | 178 (81.3) | 41(18.7) | ||
| Preventive Medicine | 21(42.9) | 28 (57.1) | 0.2 (0.09–0.39) | <0.001 |
| Public health | 121(84.0) | 23 (16.0) | 1.7 (0.88–3.43) | 0.112 |
| Knowledge | 7.9 ± 1.4 | 7.5 ± 1.7 | 1.3 (1.04–1.57) | 0.020 |
| Attitudes | ||||
| Susceptibility and Severity | 3.2 ± 0.7 | 2.9 ± 0.9 | 1.5 (1.03–2.16) | 0.035 |
| Benefits of vaccination | 3.2 ± 0.7 | 2.9 ± 0.6 | 1.9 (1.31–2.98) | 0.001 |
| Barriers of vaccination | 2.3 ± 0.5 | 2.5 ± 0.6 | 0.4 (0.26–0.76) | 0.003 |
| Cues to action | 4.1 ± 0.6 | 3.8 ± 0.5 | 2.1(1.29–3.49) | 0.003 |
Reasons for COVID-19 Vaccine Hesitancy (n=92)
| Reasons | N(%) |
|---|---|
| Afraid of the side effects | 73 (79.3) |
| A desire to delay and follow up on the safety of the vaccine | 62 (67.4) |
| Afraid of the process of new vaccine development is too quickly | 54 (58.7) |
| The vaccines could lead to COVID-19 | 43 (46.7) |
| Afraid of the expensive vaccination costs | 43 (46.7) |
| Having a plan to use other preventive measures such as masks, washing hand, social distance, avoid crowded places | 36 (39.1) |
| Not in the high-risk group | 36 (39.1) |
| Afraid of needles | 11 (11.9) |
| Do not trust the government | 11 (11.9) |
| Vaccines are not effective | 8 (8.7) |