|
| |
 |
|
| ORIGINAL ARTICLE |
|
| Year : 2021 | Volume
: 14
| Issue : 4 | Page : 159-164 |
|
COVID-19 vaccination intention among healthcare workers in Vietnam
Giao Huynh1, Thien Thuan Tran1, Han Thi Ngoc Nguyen2, Le An Pham3
1 Faculty of Public Health, University of Medicine and Pharmacy at Ho Chi Minh City, Ho Chi Minh City, Vietnam
2 Infection Control Department, University Medical Center Ho Chi Minh City, Ho Chi Minh City, Vietnam
3 Family Medicine Training Center, University of Medicine and Pharmacy at Ho Chi Minh City, Ho Chi Minh City, Vietnam
| Date of Submission | 05-Mar-2021 |
| Date of Decision | 21-Mar-2021 |
| Date of Acceptance | 22-Mar-2021 |
| Date of Web Publication | 12-Apr-2021 |
Correspondence Address:
Giao Huynh
Faculty of Public Health, University of Medicine and Pharmacy at Ho Chi Minh City, Ho Chi Minh City
Vietnam
 Source of Support: This research received a grant from University of Medicine and Pharmacy at Ho Chi Minh City, Conflict of Interest: None  | 35 |
DOI: 10.4103/1995-7645.312513
Objective: To assess the acceptance of coronavirus disease (COVID-19) vaccine among healthcare workers at two general hospitals in Vietnam when it is available.
Methods: A cross-sectional study was conducted using a convenience sampling from January to February 2021 among 410 healthcare workers at two general hospitals in Vietnam via a self-administered questionnaire. A multivariable regression analysis was performed to determine predictors of vaccine acceptance including the demographic factors, COVID-19 knowledge, and vaccine beliefs based on the domains of Health Belief Model.
Results: Among 410 healthcare workers, 76.10% showed vaccination willingness. Predictors of acceptance were determined that the group reporting as “vaccine acceptance” was more likely to be positive towards the perceived susceptibility and severity of COVID-19 (OR 2.45; 95% CI 1.48-4.06, P<0.05), perceived benefits of vaccination, and cues to action (OR 4.36; 95% CI 2.35-8.09, and OR 5.49; 95% CI 2.84-10.61, respectively, all P<0.001), but less likely to have the perceived barriers to vaccination (OR 0.19; 95% CI 0.09-0.38; P<0.001) compared with the no acceptance group. Besides, people who had a good knowledge regarding the severity of illness were 3.37 times more likely to have identified as vaccine acceptance (OR 3.37; 95% CI 1.04-10.86, P<0.05). The demographic factors were also associated with willingness to receive the vaccine, with participants who were staff and received COVID-19 information from relatives were less likely to accept the vaccine over those who were doctors and not receiving information from relatives (OR 0.36; 95% CI 0.13-0.96, and OR 0.37; 95% CI 0.17-0.78, respectively, all P<0.05).
Conclusions: A rate of willingness to get vaccinated against COVID-19 was relatively high with discrepancies between occupation, receiving information from relatives, knowledge toward the severity of illness, and the elements of Health Belief Model. The findings will provide information for the management authorities to develop relevant interventions to promote COVID-19 vaccination uptake. Keywords: Acceptance; COVID-19; Healthcare workers; Intention; SARS-CoV-2; Vaccination
How to cite this article:
Huynh G, Tran TT, Nguyen HT, Pham LA. COVID-19 vaccination intention among healthcare workers in Vietnam. Asian Pac J Trop Med 2021;14:159-64 |
How to cite this URL:
Huynh G, Tran TT, Nguyen HT, Pham LA. COVID-19 vaccination intention among healthcare workers in Vietnam. Asian Pac J Trop Med [serial online] 2021 [cited 2023 Jun 9];14:159-64. Available from: https://www.apjtm.org/text.asp?2021/14/4/159/312513 |
| 1. Introduction | |  |
Since its emergence, the ongoing coronavirus disease 2019 (COVID-19) pandemic has threatened all the aspects of life, globally. As of March 19, 2021, the virus was identified in 223 regions of the world with over 120 million confirmed cases, of which over 2.6 million deaths have been reported[1]. Until now, Vietnam has been ranked amongst one of the most successful countries in managing COVID-19 with 2 572 confirmed cases and 35 deaths since the beginning of the outbreak[2]. During this period, there were no specified treatments, so a set of strong interventions were applied, such as a lockdown, banning travel, isolation, closing schools and workplaces, limiting the size of gatherings, plus, the release of guidelines included intensive public health measures such as wearing of masks, washing hands regularly, cleaning surfaces and social distancing policies[3]. On the other hand, COVID-19 has devastated the healthcare facilities even in some well-resourced nations, and healthcare workers are at high risk of infection because they constantly expose to patients with SARS-CoV-2. It is estimated that at least 20% of healthcare providers have been diagnosed with the virus, so protecting them from infection plays an important role, not only for themselves but also the preservation of healthcare resources[4]. Previously, influenza vaccination has been recognized as the most efficient method of preventing outbreaks and reducing morbidity and mortality, especially for healthcare workers[5]. No doubt, the introduction of a safe and effective vaccination is just one of the required urgent responses needed during this pandemic, which is suggested to mitigate the possibility of infection and control the pandemic. As of 18 February 2021, WHO listed at least seven different vaccines that have been dispensed in a number of countries and healthcare workers (HCWs) are nominated as the highest priority for vaccination. Also, more than 200 additional vaccines are currently under development, of which more than 60 are currently in clinical trials[6]. In Vietnam, the government has ordered about 5 million doses of the vaccine available through the COVID-19 Vaccines Global Access Program as well as other commercial sources. Besides, the production of vaccines made in Vietnam is progressing and is currently in phase III trials, which is intended to vaccinate the entire population. The vaccination campaigns are expected to begin in the first quarter of 2021 with the highest-risk groups, including healthcare practitioners, being offered the first vaccinations[7]. As a result, achieving high vaccination coverage of healthcare workers early not only ensures an adequate workforce to treat infected patients, but also allows medical authorities to share their positive vaccination experiences with patients and their family members, so as to encourage vaccine uptake to achieve herd immunity to the COVID-19, which is estimated to be 67.0%[8]. Nevertheless, some concerns are presented about the newness and safety of the vaccine, as well as[9] vaccine hesitancy, are likely to impair the effectiveness of the roll-out of the COVID-19 vaccine programs[10]. The findings of some studies that assessed the acceptance of vaccines amongst HCWs showed that the proportion differed from areas where the prevalence was 73.9% in the European population but only 40% and 27.7% in Hong Kong and Congo, respectively[9],[11],[12]. Besides, some elements including the costs and attitude of a vaccine as well as misinformation or misperceptions that may influence the intention[13]. The Health Belief Model is a useful framework to predict intention and beliefs regarding previous immunization[14],[15]. The model assesses four aspects including perceived susceptibility and severity, perceived benefits, perceived barriers, and cues to action. Therefore, it is crucial to further investigate the willingness to be vaccinated and to understand beliefs towards the COVID-19 vaccine among healthcare workers to devise some strategies in order to have a positive and seamless vaccination role out plan for COVID-19.
| 2. Subjects and methods | | |
2.1. Participants and survey design
A cross-sectional study was conducted by using a convenience sampling from January to February 2021 among 410 HCWs at two general hospitals in Vietnam, where they did not directly care for patients with COVID-19. Data was collected via a self-administered questionnaire which addressed: (1) demographical characteristics, (2) knowledge about COVID-19, (3) 12-item beliefs towards vaccination developed based on the Health Belief Model, and (4) intent to get a vaccine against COVID-19 when it’s available.
2.2. Measures
Nine items for assessing COVID-19 knowledge were introduced in our prior research with Cronbach’s alpha of 0.60 in the current sample[16]. Response options ranged from 0 (no correct answer) to 1 (correct answer) for each. The total knowledge score was calculated by the sum of 9 items. Beliefs towards vaccination were assessed by using the 12-item scale based on four subscales of Health Belief Model based on previous study[17] including the perceived susceptibility and severity of COVID-19 illness (4 items), perceived benefits (3 items) and barriers (3 items) of vaccination, and cues to action (2 items) to which the internal consistency of the questionnaire in the current study was good (Cronbach’s alpha of 0.77). Responses were evaluated on a five-point Likert scale ranged from 1 “strongly disagree” to 5 “strongly agree”. Acceptance of the COVID-19 vaccination was measured using one item each (“do you think you will get a COVID-19 vaccination when it’s available”). Response option ranged from 0 (no agree) to 1 (agree).
2.3. Statistical analysis
All data was calculated using STATA version 14.0 software. The descriptive analysis reported the frequencies (percentages) and mean scores (standard deviation). The chi-square test and t-test were used to analyze the relationship between the dependent (intent to get a COVID-19 vaccine), and independent variables (demographic characteristics of the participants, COVID-19 knowledge, beliefs towards vaccination) in the univariate analysis, all variables that were significant at P<0.05 were then considered in a multivariable regression model. Odds ratios (OR) with corresponding 95% confidence intervals (CI) were reported for each independent variable. P<0.05 was defined as a statistically significant difference.
2.4. Ethics approval
All participants agreed and signed the consent form before taking part in the survey. Ethical approval for the study was obtained from the University of Medicine and Pharmacy at Ho Chi Minh City review board with the number 27/UMP- BOARD.
| 3. Results | | |
3.1. Demographic characteristics of participants
Demographic characteristics of participants were presented in [Table 1]. Four-hundred and ten HCWs (410/854; 48.0%) participated in the survey and returned the questionnaire with a mean age of (39.33±9.31) years. Two-hundred and eighty-two (282, 68.78%) of respondents were women, around one-third of them (146, 35.61%) are nurses. Most of them reported receiving COVID-19 information including social media (348, 84.88%), television (324, 79.02%), and website of hospital/ministry of health (308, 75.12%). Among the HCWs, 76.10% answered that they had the intention of being vaccinated the COVID-19 vaccine when it is available, compared with 23.90% who were unwilling. A significant difference between the groups of intention to get vaccination was found for the occupational groups and source of COVID-19 information (P<0.05) on the univariate analysis.
3.2. Knowledge about COVID-19
Knowledge about COVID-19 was displayed in [Table 2]. The majority of participants had good knowledge regarding pathogens (400, 97.56%), common symptoms including fever, dry cough and shortness of breath (346, 84.39%), the isolation period if suspected infection (342, 83.41%), treatment (322, 78.54%), preventive measures for transmission (360, 87.80%), subjects at high risk of infection (354, 86.34%), and the severity of illness (386, 94.15%). A slightly lower knowledge rate, (262, 63.90%), and (214, 52.20%) identified the transmission route of COVID-19 and available vaccine for all people, respectively. The total knowledge score was (7.28±1.56) (0-9). On the univariate analysis, there were significant differences between the groups of intention to get vaccination and knowledge about COVID-19 including the availability of a vaccine, and the severity of illness, with all P<0.05. | Table 2: Associated factors between knowledge and acceptance COVID-19 vaccine.
Click here to view |
3.3. Beliefs and intention to get a vaccination against COVID-19
Results from the multiple regression model predicting determinants for intention to vaccinate with the COVID-19 vaccine are presented in [Table 3]. Significant differences were observed between the groups of willing and unwilling participants to vaccinate in all four subscales of vaccination beliefs (susceptibility and severity, benefits, barriers of vaccination, and cues to action), and knowledge regarding the severity of illness (all P<0.05). The group nominating to receive the vaccine was more likely to have positively perceived susceptibility and severity of illness (OR 2.45; 95% CI 1.48-4.06, P<0.05), perceived benefits of vaccination, and cues to action (OR 4.36; 95% CI 2.35-8.09, and OR 5.49; 95% CI 2.84-10.61, respectively, all P<0.001). Also, people who have a good knowledge regarding the severity of illness were 3.37 times more likely to report as “vaccine acceptance” (OR 3.37; 95% CI 1.04-10.86, P<0.05). Conversely, the vaccine acceptance group was less likely to have the perceived barriers to vaccination (OR 0.19; 95% CI 0.09-0.38; P<0.001) compared with the unwilling group. The demographic factors were also associated with willingness to receive the COVID-19 vaccine, with participants who were staff and received COVID-19 information from relatives being less likely to accept the vaccine over those who were doctors and not receiving information from relatives (OR 0.36 95% CI 0.13-0.96, and OR 0.37; 95% CI 0.17-0.78, respectively, all P<0.05). | Table 3: Multivariable logistic analysis of factors associated with acceptance COVID-19 vaccine.
Click here to view |
| 4. Discussion | | |
In this survey, we found that the prevalence of HCWs that intend to take up the vaccine when it is available was relatively high (76.10%) while there still be approximately one-fifth (23.90%) of the respondents showed to be vaccine-hesitant. This indicated that HCWs are probably more agreeable to getting vaccinated than other people because they are likely to be the huge affected by the health consequences of COVID-19[4]. These results corroborate the findings of Gagneux et al. who recorded 76.9% of the healthcare providers would accept a vaccine, however, the data differed from the study in Congo and Hong Kong ranging from 27.7% to 40%[11],[18]. Moreover, the previous study showed that the acceptance vaccination proportionate against seasonal influenza and H1N1 among healthcare providers in Asia was low (37.4%) although they were at high risk of infection[19]. According to the influenza vaccination coverage rate, there was much higher coverage in Europe than in Asia and Africa, with a difference towards national vaccination policies and recommendations in most countries[20]. Several studies have shown that the willingness to receive vaccination may be different in various areas and different periods of the pandemic[21]. The other reason may be influenced by occupation and gender, being that nurses and women accounted for 35.61% and 68.78%, respectively, and found that these groups reported less acceptance to vaccination[10],[22]. Furthermore, we found that the difference to accept the COVID-19 vaccination across occupations who were staff and they received COVID-19 information from relatives compared to who were doctors and not receiving information from relatives (OR 0.36 95% CI 0.13-0.96, and OR 0.37; 95% CI 0.17-0.78, respectively, all P<0.05). These results are in line with those of previous studies recorded physicians were the highest intention and had a positive attitude regarding vaccine as well as who were the most important influencers of vaccine decision-making[23],[24]. Some evidence suggested that correcting the misinformation from an individual comment, or on social media, may change health beliefs about vaccination[25]. Moreover, receiving information from relatives can lead to greater misconceptions about vaccines, and people may fear and doubt the vaccine efficacy. Therefore, public health campaigns should monitor and prevent the spread of fringe notions about a future COVID-19 vaccine before dangerous myths take root in the public psyche. Also, doctors will play an important role to encourage COVID-19 vaccination. Thus, strong physician recommendations can bolster public and individual support for a COVID-19 vaccine. They can share personal knowledge about being immunized and immunizing with their family members or friends and relatives to encourage the vaccine uptake[26]. In terms of knowledge, (400, 97.56%) of the sample had good knowledge towards the pathogens, common symptoms including fever, dry cough, and shortness of breath (346, 84.39%), the isolation period if suspected of infection (342, 83.41%), treatment (322, 78.54%), preventive measures for transmission (360, 87.80%), persons at high risk of infection (354, 86.34%), and the severity of illness (386, 94.15%), with a mean score of (7.28±1.56). These results were higher compared to our previous study, which indicates that HCWs have improved their knowledge regarding the pandemic[16]. Moreover, there were significant differences between the groups of intention to get vaccination and knowledge about COVID-19 including the availability of a vaccine and the severity of illness, with all P<0.05. Also, people who have a good knowledge regarding the severity of illness were 3.37 times more likely to be vaccine acceptance (OR 3.37; 95% CI 1.04-10.86, P<0.05). Knowledge is one of the important factors that affects intention to receive the COVID-19 vaccination among HCWs. Therefore, HCWs should be updated with the latest information about COVID-19 through trustworthy channels of information including the website of Ministry of Health/Hospital, as well as training at workplace for all healthcare providers.
Another important finding was that significant differences were observed between the intention to get vaccinated and vaccination beliefs. The group of vaccine willingness was more likely to be positive towards the perceived susceptibility and severity of illness (OR 2.45; 95% CI 1.48-4.06, P<0.05). These results are in accord with recent studies indicating that the perceived susceptibility and seriousness of vaccine-preventable diseases may contribute to a higher vaccine acceptance[27]. This may be because HCWs are involved in the treatment of patients so they consider themselves at a higher risk of infection over others not in this industry. Besides, the intention is also influenced by perceived benefits of vaccination, and cues to action (OR 4.36; 95% CI 2.35-8.09, and OR 5.49; 95% CI 2.84-10.61, respectively, all P<0.001). These results are in line with Wong LP et al’s survey, which showed that the perceived benefits of vaccination reduce the likelihood of infection (OR 2.51, 95% CI 1.19-5.26)[28]. Conversely, the vaccine acceptance group was less likely to have the perceived barriers to vaccination (OR 0.19; 95% CI 0.09-0.38; P<0.01). A previous study showed that the variation of vaccine hesitancy depends on the potential vaccine characteristics and safety, and side effects of a vaccine were also essential factors towards being vaccinated, which accounted for 44.6% to 57.1%, respectively in Chen et al’s study[10],[29]. A previous survey also found that the side effects and safety of the influenza vaccination was the most common reasons for vaccine hesitancy[30]. Therefore, the provision of characteristics of COVID-19 vaccines (efficacy and risk of severe side-effects), as well as vaccination strategies (herd immunity target and place of vaccine administration) should be released to the public to increase the acceptance rate.
The limitation of our study was the timing of the investigation at the beginning of the production of the vaccine in Vietnam, therefore HCWs’ vaccination intentions maybe change over time with the new information. Nevertheless, the results presented in the survey can contribute to the start of a mass vaccination strategy as it draws nearer.
A rate of willingness to get vaccinated against COVID-19 was relatively high with discrepancies between occupation, receiving information from relatives, knowledge toward the severity of illness and the elements of Health Belief Model. The findings will provide information for the management authorities to develop relevant interventions to promote COVID-19 vaccination uptake.
Conflict of interest statement
The authors declare that there is no conflict of interest.
Acknowledgments
We wish to acknowledge the cooperation and support of all healthcare workers at District 5 Hospital, University Medical Center Ho Chi Minh City (branch 2) for the time and effort that they devoted to the study.
Funding
This research received a grant from University of Medicine and Pharmacy at Ho Chi Minh City.
Authors’ contributions
All authors substantially contributed to drafting and revising the article, as well as the final approval of the version to be submitted. HG, PLA, and NTNH contributed to the conception and design of the study and acquisition of the data. HG and NTNH conducted the data analysis and HG, TTT, and PLA were the contributors to the interpretation of the data.
| References | | |
| 1. | |
| 2. | Ministry of Health Vietnam. Trang tin về dich bênh viêm đuòng hô hấp cấp COVID-19 2021. [Online]. Available from: https://ncov.moh.gov.vn/. [Assessed on 21 March 2021].  |
| 3. | |
| 4. | Nguyen LH, Drew DA, Graham MS, Joshi AD, Guo CG, Ma W, et al. Risk of COVID-19 among front-line health-care workers and the general community: A prospective cohort study. Lancet Public Health 2020; 5: e475e83. |
| 5. | Poland GA, Tosh P, Jacobson RM. Requiring influenza vaccination for health care workers: Seven truths we must accept. Vaccine 2005; 23(17-18): 2251-2255. |
| 6. | |
| 7. | |
| 8. | Randolph HE, Barreiro LB. Herd immunity: Understanding COVID-19. Immunity 2020; 52(5): 737-741. |
| 9. | Neumann-Böhme S, Varghese NE, Sabat I, Barros PP, Brouwer W, van Exel J, et al. Once we have it, will we use it? A European survey on willingness to be vaccinated against COVID-19. Eur J Health Econ 2020; 21(7): 977-982. |
| 10. | Dror AA, Eisenbach N, Taiber S, Morozov NG, Mizrachi M, Zigron A, et al. Vaccine hesitancy: The next challenge in the fight against COVID-19. Eur J Epidemiol 2020; 35: 775-779. |
| 11. | Wang K, Wong E, Ho KF, Cheung A, Chan E, Yeoh EK, et al. Intention of nurses to accept coronavirus disease 2019 vaccination and change of intention to accept seasonal influenza vaccination during the coronavirus disease 2019 pandemic: A cross-sectional survey. Vaccine 2020; 38(45): 7049-7056. |
| 12. | Kabamba Nzaji M, Kabamba Ngombe L, Ngoie Mwamba G, Banza Ndala DB, Mukamba Musenga E, Luhata Lungoyo C, et al. Acceptability of vaccination against COVID-19 among healthcare workers in the Democratic Republic of the Congo. Pragmat Obs Res 2020; 11: 103-109. |
| 13. | Korn L, Betsch C, Böhm R, Meier NW. Social nudging: The effect of social feedback interventions on vaccine uptake. Health Psychol 2018; 37(11): 1045-1054. |
| 14. | Myers LB, Goodwin R. Determinants of adults’ intention to vaccinate against pandemic swine flu. BMC Public Health 2011; 11: 15. |
| 15. | Giao H, Quang VB, Huynh TLN, Le AP. Parents’ attitude about hepatitis B disease and practice of hepatitis B vaccination among children in Ho Chi Minh City, Vietnam. BioMed Res Intern 2019; 2019: 9323814. |
| 16. | Huynh G, Nguyen TNH, Tran VK, Vo KN, Pham LA. Knowledge and attitude toward COVID-19 among healthcare workers at District 2 Hospital, Ho Chi Minh City. Asian Pac J Trop Med 2020; 13: 260-265. |
| 17. | Huynh G, Pham DUB, Nguyen TV, Bui VQ, Nguyen TNH, Nguyen DD, et al. Validity and reliability assessment of attitude scales for hepatitis B vaccination among parents in Ho Chi Minh City, Vietnam. Risk Manag Healthc Policy 2020; 13: 2149-2158. |
| 18. | Gagneux-Brunon A, Detoc M, Bruel S, Tardy B, Rozaire O, Botelho-Nevers E, et al. Intention to get vaccinations against COVID-19 in French healthcare workers during the first pandemic wave: A cross-sectional survey. J Hosp Infect 2021; 108: 168-173. |
| 19. | Sheldenkar A, Lim F, Yung CF, Lwin MO. Acceptance and uptake of influenza vaccines in Asia: A systematic review. Vaccine 2019; 37: 4896-4905. |
| 20. | de Lataillade C, Auvergne S, Delannoy I. 2005 and 2006 seasonal influenza vaccination coverage rates in 10 countries in Africa, Asia Pacific, Europe, Latin America and the Middle East. J Public Health Policy 2009; 30(1): 83-101. |
| 21. | Dodd RH, Cvejic E, Bonner C, Pickles K, McCaffery KJ, Sydney Health Literacy Lab COVID-19 group. Willingness to vaccinate against COVID-19 in Australia. Lancet Infect Dis 2021; 21(3): 318-319. |
| 22. | Detoc M, Bruel S, Frappe P, Tardy B, Botelho-Nevers E, Gagneux-Brunon A, et al. Intention to participate in a COVID-19 vaccine clinical trial and to get vaccinated against COVID-19 in France during the pandemic. Vaccine 2020; 38(45): 7002-7006. |
| 23. | Lu PJ, O’ Halloran AC, Ding H, Williams WW, Black CL. Influenza vaccination of healthcare personnel by work setting and occupation-U.S., 2014. Am J Prev Med 2016; 51(6): 1015-1026. |
| 24. | Edwards KM, Hackell JM, Committee on infectious diseases, the committee on practice and ambulatory medicine. Countering vaccine hesitancy. Pediatrics 2016; 138(3): e20162146. |
| 25. | Bode L, Vraga EK. See something, say something: Correction of global health misinformation on social media. Health Commun 2018; 33(9): 1131-1140. |
| 26. | Kempe A, O’Leary ST, Kennedy A, Crane LA, Allison MA, Beaty BL, et al. Physician response to parental requests to spread out the recommended vaccine schedule. Pediatrics 2015; 135(4): 666-677. |
| 27. | Dubé E, Laberge C, Guay M, Bramadat P, Bettinger J. Vaccine hesitancy: An overview. Hum Vaccin Immunother 2013; 9(8): 1763-1773. |
| 28. | Wong LP, Alias H, Wong PF, Lee HY, AbuBakar S. The use of the health belief model to assess predictors of intent to receive the COVID-19 vaccine and willingness to pay. Hum Vaccin Immunother 2020; 16(9): 2204-2214. |
| 29. | Chen M, Li Y, Chen J, Wen Z, Sun C, Zou H, et al. An online survey of the attitude and willingness of Chinese adults to receive COVID-19 vaccination. Hum Vaccin Immunother 2021; doi: 10.1080/21645515.2020.1853449. |
| 30. | Lau AY, Sintchenko V, Crimmins J, Magrabi F, Gallego B, Coiera E. Impact of a web-based personally controlled health management system on influenza vaccination and health services utilization rates: A randomized controlled trial. J Am Med Inform Assoc 2012; 19(5): 719-727. |
[Table 1], [Table 2], [Table 3]
| This article has been cited by | | 1 |
Psychosocial factors associated with the intention to get a COVID-19 booster vaccine: evidence from a low-income country |
|
| Dayanne Orellana, Andrea Mercado, Eric Roth | | Journal of Public Health. 2023; | | [Pubmed] | [DOI] | | | 2 |
COVID-19 vaccine acceptance and associated factors among health workers in West Guji zone, Southern Ethiopia: Cross-sectional study |
|
| Lechisa Asefa, Hailu Lemma, Chala Daba, Degefa Dhengesu, Mommedgezali Ibrahim | | Frontiers in Public Health. 2023; 11 | | [Pubmed] | [DOI] | | | 3 |
Willingness to accept COVID-19 vaccine and its determinants in Ethiopia: A systematic review and meta-analysis |
|
| Tadesse Tolossa, Getahun Fetensa, Bikila Regassa Feyisa, Bizuneh Wakuma, Matiyos Lema | | Frontiers in Virology. 2023; 3 | | [Pubmed] | [DOI] | | | 4 |
How Well the Constructs of Health Belief Model Predict Vaccination Intention: A Systematic Review on COVID-19 Primary Series and Booster Vaccines |
|
| Yam B. Limbu, Rajesh K. Gautam | | Vaccines. 2023; 11(4): 816 | | [Pubmed] | [DOI] | | | 5 |
Evaluation of COVID-19 Vaccination Rate in Healthcare Workers in a Tertiary Hospital in Mogadishu Somalia: A Cross-sectional Study |
|
| Mohamed Osman Omar Jeele, Mohamed Farah Yusuf Mohamud, Ahmed Muhammad Bashir, Liban Hassan Jimale, Abdulkamil Abdullahi Adani | | Somalia Turkiye Medical Journal (STMJ). 2023; 2(1): 1 | | [Pubmed] | [DOI] | | | 6 |
Knowledge, attitude, and practices of front line health workers after receiving a COVID-19 vaccine: a cross-sectional study in Pakistan |
|
| Sadia Minhas, Aneequa Sajjad, Iram Manzoor, Atika Masood, Agha Suhail, Gul Muhammad Shaikh, Muhammad Kashif | | PeerJ. 2023; 11: e14727 | | [Pubmed] | [DOI] | | | 7 |
COVID-19 Vaccine Refusal among Nurses Worldwide: Review of Trends and Predictors |
|
| Jagdish Khubchandani, Elizabeth Bustos, Sabrina Chowdhury, Nirbachita Biswas, Teresa Keller | | Vaccines. 2022; 10(2): 230 | | [Pubmed] | [DOI] | | | 8 |
Fear of Illness and Convenient Access to Vaccines Appear to Be the Missing Keys to Successful Vaccination Campaigns: Analysis of the Factors Influencing the Decisions of Hospital Staff in Poland concerning Vaccination against Influenza and COVID-19 |
|
| Robert Suslo, Piotr Pobrotyn, Artur Mierzecki, Jaroslaw Drobnik | | Vaccines. 2022; 10(7): 1026 | | [Pubmed] | [DOI] | | | 9 |
COVID-19 Vaccination Intent, Barriers and Facilitators in Healthcare Workers: Insights from a Cross-Sectional Study on 2500 Employees at LMU University Hospital in Munich, Germany |
|
| Ana Zhelyazkova, Selina Kim, Matthias Klein, Stephan Prueckner, Sophia Horster, Philipp Kressirer, Alexander Choukér, Michaela Coenen, Kristina Adorjan | | Vaccines. 2022; 10(8): 1231 | | [Pubmed] | [DOI] | | | 10 |
Prevalence and Determinants of COVID-19 Vaccine Hesitancy Among the Ethiopian Population: A Systematic Review |
|
| Delelegn Emwodew Yehualashet, Binyam Tariku Seboka, Getanew Aschalew Tesfa, Tizalegn Tesfaye Mamo, Mulugeta Namaro Yawo, Samuel Hailegebreal | | Risk Management and Healthcare Policy. 2022; Volume 15: 1433 | | [Pubmed] | [DOI] | | | 11 |
COVID-19 Vaccination Acceptance and its Predicting Factors among Internet Users in Ho Chi Minh City and Other Regions in Vietnam |
|
| Hoang Bac Nguyen, Thi Hong Minh Nguyen, Thi Hong Nhan Vo, Hoang Phong Le, Thi Mai Ca Vo, Thi Anh Nhung Nguyen, Tuan-Ngan Tang, Thi-Hiep Nguyen, Anh Long Dang, Quang Binh Truong | | The Open COVID Journal. 2022; 2(1) | | [Pubmed] | [DOI] | | | 12 |
COVID-19 Vaccination Behavior Among Frontline Healthcare Workers in Pakistan: The Theory of Planned Behavior, Perceived Susceptibility, and Anticipated Regret |
|
| Muhammad Khayyam, Shuai Chuanmin, Muhammad Asad Salim, Arjumand Nizami, Jawad Ali, Hussain Ali, Nawab Khan, Muhammad Ihtisham, Raheel Anjum | | Frontiers in Psychology. 2022; 13 | | [Pubmed] | [DOI] | | | 13 |
Prevalence and Determinants of COVID-19 Vaccine Acceptance Among Healthcare Workers: A Systematic Review |
|
| Belay Desye | | Frontiers in Public Health. 2022; 10 | | [Pubmed] | [DOI] | | | 14 |
Assessing COVID-19 Vaccine’s Acceptability Amongst Health Care Workers in Oman: A cross-sectional study |
|
| Salah T. Al Awaidy, Huda Al Siyabi, Madan Khatiwada, Amal Al Siyabi, Said Al Mukhaini, Carine Dochez, Dennis Misac Giron, Sitwat Usman Langrial, Ozayr Mahomed | | Journal of Infection and Public Health. 2022; 15(8): 906 | | [Pubmed] | [DOI] | | | 15 |
Trust is the common denominator for COVID-19 vaccine acceptance: a literature review |
|
| Bipin Adhikari, Phaik Yeong Cheah, Lorenz von Seidlein | | Vaccine: X. 2022; : 100213 | | [Pubmed] | [DOI] | | | 16 |
Determinants of COVID-19 vaccine hesitancy among parents in Ho Chi Minh City, Vietnam |
|
| Giao Huynh, Han Thi Ngoc Nguyen, Khanh Van Tran, Pham Le An, Tuan Diep Tran | | Postgraduate Medicine. 2022; | | [Pubmed] | [DOI] | | | 17 |
Measuring the Intention in Favour and Against Getting Vaccinated from COVID-19 Using the Health Belief Model: Cross-Sectional Study of Pakistan |
|
| Bakhtawar Khan, Arshiya Khan, Ruqia Khan | | Illness, Crisis & Loss. 2022; : 1054137322 | | [Pubmed] | [DOI] | | | 18 |
Knowledge, attitudes, and perceptions of COVID-19 vaccine and refusal to receive COVID-19 vaccine among healthcare workers in northeastern Ethiopia |
|
| Metadel Adane, Ayechew Ademas, Helmut Kloos | | BMC Public Health. 2022; 22(1) | | [Pubmed] | [DOI] | | | 19 |
Assessing public knowledge, attitudes and determinants of third COVID-19 vaccine booster dose acceptance: current scenario and future perspectives |
|
| Ammar Abdulrahman Jairoun, Sabaa Saleh Al-Hemyari, Faris El-Dahiyat, Maimona Jairoun, Moyad Shahwan, Mena Al Ani, Mustafa Habeb, Zaheer-Ud-Din Babar | | Journal of Pharmaceutical Policy and Practice. 2022; 15(1) | | [Pubmed] | [DOI] | | | 20 |
Hesitancy in COVID-19 vaccine uptake and its associated factors among the general adult population: a cross-sectional study in six Southeast Asian countries |
|
| Roy Rillera Marzo, Waqas Sami, Md. Zakiul Alam, Swosti Acharya, Kittisak Jermsittiparsert, Karnjana Songwathana, Nhat Tan Pham, Titik Respati, Erwin Martinez Faller, Aries Moralidad Baldonado, Yadanar Aung, Sharmila Mukund Borkar, Mohammad Yasir Essar, Sunil Shrestha, Siyan Yi | | Tropical Medicine and Health. 2022; 50(1) | | [Pubmed] | [DOI] | | | 21 |
Validity and Reliability of a Brief Scale of Intention to Vaccinate Against COVID-19 in a Peruvian Sample |
|
| Wilter C. Morales-García, Salomón Huancahuire-Vega, JackSaint Saintila, Percy G. Ruiz Mamani | | Journal of Primary Care & Community Health. 2022; 13: 2150131922 | | [Pubmed] | [DOI] | | | 22 |
Covid-19 Vaccine Acceptance and Determinant Factors among General Public in East Africa: A Systematic Review and Meta-Analysis |
|
| Astawus Alemayehu, Abebaw Demissie, Mohammed Yusuf, Abebe Gemechu Lencha, Lemessa Oljira | | Health Services Research and Managerial Epidemiology. 2022; 9: 2333392822 | | [Pubmed] | [DOI] | | | 23 |
Assessment of COVID-19 Preventive Practice and Associated Factors Among Educators in Vietnam |
|
| Pham Le An, Giao Huynh, Han Thi Ngoc Nguyen, Pham Duong Uyen Binh, Tam Thao Tuyet Tran, Tuong Vy Nguyen, Huong Thi Thu Vu, Tuan Diep Tran | | Infection and Drug Resistance. 2022; Volume 15: 183 | | [Pubmed] | [DOI] | | | 24 |
The Willingness to Receive COVID-19 Vaccine and Its Associated Factors: “Vaccination Refusal Could Prolong the War of This Pandemic” – A Systematic Review |
|
| Addisu Dabi Wake | | Risk Management and Healthcare Policy. 2021; Volume 14: 2609 | | [Pubmed] | [DOI] | | | 25 |
Predictors of Intention to Get a COVID-19 Vaccine of Health Science Students: A Cross-Sectional Study |
|
| Van Tap Nguyen,Minh Quan Nguyen,Ngoc Thi Le,Thi Ngoc Han Nguyen,Giao Huynh | | Risk Management and Healthcare Policy. 2021; Volume 14: 4023 | | [Pubmed] | [DOI] | | | 26 |
The Acceptance Rate Toward COVID-19 Vaccine in Africa: A Systematic Review and Meta-analysis |
|
| Addisu Dabi Wake | | Global Pediatric Health. 2021; 8: 2333794X21 | | [Pubmed] | [DOI] | | | 27 |
Knowledge About COVID-19, Beliefs and Vaccination Acceptance Against COVID-19 Among High-Risk People in Ho Chi Minh City, Vietnam |
|
| Giao Huynh,Tap Van Nguyen,Dung Dang Nguyen,Quang Minh Lam,Tuan Nhat Pham,Han Thi Ngoc Nguyen | | Infection and Drug Resistance. 2021; Volume 14: 1773 | | [Pubmed] | [DOI] | | | 28 |
Knowledge, Attitude, and Practice Towards COVID-19 Among Healthcare Students in Vietnam |
|
| Pham Le An,Giao Huynh,Han Thi Ngoc Nguyen,Binh Duong Uyen Pham,Tuong Vy Nguyen,Tam Thao Tuyet Tran,Tuan Diep Tran | | Infection and Drug Resistance. 2021; Volume 14: 3405 | | [Pubmed] | [DOI] | | | 29 |
Integrating Health Behavior Theories to Predict Intention to Get a COVID-19 Vaccine |
|
| Pham Le An, Han Thi Ngoc Nguyen, Hop Thi Bich Dang, Quynh Ngoc Ho Huynh, Binh Duong Uyen Pham, Giao Huynh | | Health Services Insights. 2021; 14: 1178632921 | | [Pubmed] | [DOI] | | | 30 |
Acceptability of COVID-19 vaccination among health care workers: a cross-sectional survey in Morocco |
|
| Mohamed Khalis, Asmaa Hatim, Latifa Elmouden, Mory Diakite, Abdelghafour Marfak, Soukaina Ait El Haj, Rachid Farah, Mohamed Jidar, Kaba Kanko Conde, Kenza Hassouni, Hafida Charaka, Mark Lacy, Fatima-Zahra Aazi, Chakib Nejjari | | Human Vaccines & Immunotherapeutics. 2021; : 1 | | [Pubmed] | [DOI] | | | 31 |
Determinants of COVID-19 vaccine hesitancy among health care workers in Amhara region referral hospitals, Northwest Ethiopia: a cross-sectional study |
|
| Agazhe Aemro, Nakachew Sewnet Amare, Belayneh Shetie, Basazinew Chekol, Mulugeta Wassie | | Epidemiology and Infection. 2021; 149 | | [Pubmed] | [DOI] | | | 32 |
A Hybrid Spherical Fuzzy MCDM Approach to Prioritize Governmental Intervention Strategies against the COVID-19 Pandemic: A Case Study from Vietnam |
|
| Phi-Hung Nguyen, Jung-Fa Tsai, Thanh-Tuan Dang, Ming-Hua Lin, Hong-Anh Pham, Kim-Anh Nguyen | | Mathematics. 2021; 9(20): 2626 | | [Pubmed] | [DOI] | | | 33 |
A rapid review of evidence on the determinants of and strategies for COVID-19 vaccine acceptance in low- and middle-income countries |
|
| Sandeep Moola, Nachiket Gudi, Devaki Nambiar, Neha Dumka, Tarannum Ahmed, Isha Ramesh Sonawane, Atul Kotwal | | Journal of Global Health. 2021; 11 | | [Pubmed] | [DOI] | | | 34 |
Factors Influencing the COVID-19 Vaccination Intentions in Nurses: Korea, February 2021 |
|
| Ju Young Park, Jiyeon Ha | | Journal of Korean Academy of Nursing. 2021; 51(5): 537 | | [Pubmed] | [DOI] | | | 35 |
Intention of healthcare workers to accept COVID-19 vaccination and related factors: A systematic review and meta-analysis |
|
| Petros Galanis, Irene Vraka, Despoina Fragkou, Angeliki Bilali, Daphne Kaitelidou | | Asian Pacific Journal of Tropical Medicine. 2021; 14(12): 543 | | [Pubmed] | [DOI] | |
|
 |
|
|
|
Search Pubmed for