IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2021i1p329-d713538.html
   My bibliography  Save this article

Attitudes towards Mandatory Occupational Vaccination and Intention to Get COVID-19 Vaccine during the First Pandemic Wave among Mongolian Healthcare Workers: A Cross-Sectional Survey

Author

Listed:
  • Battsetseg Turbat

    (Ph.D. Program in Global Health and Health Security, College of Public Health, Taipei Medical University, Taipei 11031, Taiwan
    Department of Nursing, Mongolian University of Pharmaceutical Sciences, Ulaanbaatar 18130, Mongolia)

  • Bold Sharavyn

    (Department of Traditional Medicine, International School of Mongolian Medicine, Mongolian National University of Medical Sciences, Ulaanbaatar 14210, Mongolia)

  • Feng-Jen Tsai

    (Ph.D. Program in Global Health and Health Security, College of Public Health, Taipei Medical University, Taipei 11031, Taiwan
    Master’s Program in Global Health and Development, College of Public Health, Taipei Medical University, Taipei 11031, Taiwan)

Abstract

Mandatory occupational vaccination for health care workers (HCWs) is a debatable issue, especially during the COVID-19 pandemic. This study aimed to determine Mongolian HCWs’ attitudes towards mandatory occupational vaccination, the intention to get the COVID-19 vaccine, and the associated factors. A cross-sectional study based on an online survey with a convenience sampling strategy was conducted from February to April 2021 among 238 Mongolia HCWs. Chi-square and logistic regression were performed for analysis. While only 39.9% of HCWs were aware of recommended occupational vaccinations, they highly agreed with the mandatory occupational vaccination on HCWs (93.7%). The agreement rate is significantly higher than their attitude toward general vaccination (93.7% vs. 77.8%). HCW’s willingness to get the COVID-19 vaccine was high (67.2%). HCWs aged 26–35 years old who worked in tertiary level hospitals had less willingness to get the COVID-19 vaccine (50%). Participants with lower confidence in the efficacy of the COVID-19 vaccine (ORs = 15.659) and less positive attitudes toward general vaccination (ORs = 5.288) were less likely to get the COVID-19 vaccine. Mongolian HCWs’ agreement rate of mandatory occupational vaccination is higher than other countries. Their intention to get the COVID-19 vaccine is high and associated with confidence in the effectiveness of the vaccine.

Suggested Citation

  • Battsetseg Turbat & Bold Sharavyn & Feng-Jen Tsai, 2021. "Attitudes towards Mandatory Occupational Vaccination and Intention to Get COVID-19 Vaccine during the First Pandemic Wave among Mongolian Healthcare Workers: A Cross-Sectional Survey," IJERPH, MDPI, vol. 19(1), pages 1-13, December.
  • Handle: RePEc:gam:jijerp:v:19:y:2021:i:1:p:329-:d:713538
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/1/329/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/19/1/329/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ling, Mathew & Kothe, Emily J. & Mullan, Barbara A., 2019. "Predicting intention to receive a seasonal influenza vaccination using Protection Motivation Theory," Social Science & Medicine, Elsevier, vol. 233(C), pages 87-92.
    2. Romana Ulbrichtova & Viera Svihrova & Maria Tatarkova & Henrieta Hudeckova & Jan Svihra, 2021. "Acceptance of COVID-19 Vaccination among Healthcare and Non-Healthcare Workers of Hospitals and Outpatient Clinics in the Northern Region of Slovakia," IJERPH, MDPI, vol. 18(23), pages 1-9, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zubairu Iliyasu & Rayyan M. Garba & Mansur A. Aliyu & Auwalu U. Gajida & Taiwo G. Amole & Amina A. Umar & Hadiza M. Abdullahi & Fatimah I. Tsiga-Ahmed & Aminatu A. Kwaku & Meira S. Kowalski & Hamisu M, 2022. "“I Would Rather Take the Vaccine Than Undergo Weekly Testing” : Correlates of Health Workers’ Support for COVID-19 Vaccine Mandates," IJERPH, MDPI, vol. 19(21), pages 1-16, October.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Farooq, Ali & Laato, Samuli & Islam, A.K.M. Najmul & Isoaho, Jouni, 2021. "Understanding the impact of information sources on COVID-19 related preventive measures in Finland," Technology in Society, Elsevier, vol. 65(C).
    2. Ni, Lei & Chen, Yu-wang & de Brujin, Oscar, 2021. "Towards understanding socially influenced vaccination decision making: An integrated model of multiple criteria belief modelling and social network analysis," European Journal of Operational Research, Elsevier, vol. 293(1), pages 276-289.
    3. Talal Daghriri & Michael Proctor & Sarah Matthews, 2022. "Evolution of Select Epidemiological Modeling and the Rise of Population Sentiment Analysis: A Literature Review and COVID-19 Sentiment Illustration," IJERPH, MDPI, vol. 19(6), pages 1-20, March.
    4. Ying Zhu & Xiaowei Wen & May Chu & Gongliang Zhang & Xuefan Liu, 2021. "Consumers’ Food Safety Risk Communication on Social Media Following the Suan Tang Zi Accident: An Extended Protection Motivation Theory Perspective," IJERPH, MDPI, vol. 18(15), pages 1-19, July.
    5. Omar, Nor Asiah & Nazri, Muhamad Azrin & Ali, Mohd Helmi & Alam, Syed Shah, 2021. "The panic buying behavior of consumers during the COVID-19 pandemic: Examining the influences of uncertainty, perceptions of severity, perceptions of scarcity, and anxiety," Journal of Retailing and Consumer Services, Elsevier, vol. 62(C).
    6. Thiam, Habibatou I. & Owusu, Victor & Villamor, Grace B. & Schuler, Johannes & Hathie, Ibrahima, 2024. "Farmers’ intention to adapt to soil salinity expansion in Fimela, Sine-Saloum area in Senegal: A structural equation modelling approach," Land Use Policy, Elsevier, vol. 137(C).
    7. Griffin, Bethany & Conner, Mark & Norman, Paul, 2022. "Applying an extended protection motivation theory to predict Covid-19 vaccination intentions and uptake in 50–64 year olds in the UK," Social Science & Medicine, Elsevier, vol. 298(C).
    8. Ngqabutho Moyo & Anita D. Bhappu & Moment Bhebhe & Farai Ncube, 2022. "Perceived Risk of COVID-19 and Employee Decision-Making: How Psychological Distress during the Pandemic Increases Negative Performance Outcomes among Healthcare Workers," IJERPH, MDPI, vol. 19(11), pages 1-16, June.
    9. Eeman Almokdad & Kiattipoom Kiatkawsin & Mosab Kaseem, 2022. "The Role of COVID-19 Vaccine Perception, Hope, and Fear on the Travel Bubble Program," IJERPH, MDPI, vol. 19(14), pages 1-15, July.
    10. Laato, Samuli & Islam, A.K.M. Najmul & Farooq, Ali & Dhir, Amandeep, 2020. "Unusual purchasing behavior during the early stages of the COVID-19 pandemic: The stimulus-organism-response approach," Journal of Retailing and Consumer Services, Elsevier, vol. 57(C).
    11. Suk Min Pang & Booi Chen Tan & Teck Chai Lau, 2021. "Antecedents of Consumers’ Purchase Intention towards Organic Food: Integration of Theory of Planned Behavior and Protection Motivation Theory," Sustainability, MDPI, vol. 13(9), pages 1-18, May.
    12. Meng Zhou & Li Liu & Shu-Yan Gu & Xue-Qing Peng & Chi Zhang & Qi-Feng Wu & Xin-Peng Xu & Hua You, 2022. "Behavioral Intention and Its Predictors toward COVID-19 Booster Vaccination among Chinese Parents: Applying Two Behavioral Theories," IJERPH, MDPI, vol. 19(12), pages 1-13, June.
    13. Yi-Lung Chen & Yen-Ju Lin & Yu-Ping Chang & Wen-Jiun Chou & Cheng-Fang Yen, 2021. "Differences in the Protection Motivation Theory Constructs between People with Various Latent Classes of Motivation for Vaccination and Preventive Behaviors against COVID-19 in Taiwan," IJERPH, MDPI, vol. 18(13), pages 1-13, July.
    14. Fredy S. Monge-Rodríguez & He Jiang & Liwei Zhang & Andy Alvarado-Yepez & Anahí Cardona-Rivero & Enma Huaman-Chulluncuy & Analy Torres-Mejía, 2021. "Psychological Factors Affecting Risk Perception of COVID-19: Evidence from Peru and China," IJERPH, MDPI, vol. 18(12), pages 1-16, June.
    15. Phi-Hung Nguyen & Jung-Fa Tsai & Ming-Hua Lin & Yi-Chung Hu, 2021. "A Hybrid Model with Spherical Fuzzy-AHP, PLS-SEM and ANN to Predict Vaccination Intention against COVID-19," Mathematics, MDPI, vol. 9(23), pages 1-26, November.
    16. Abu Elnasr E. Sobaih & Fatheya Moustafa, 2022. "Panic Food Purchasing amid COVID-19 Pandemic: Does the Impact of Perceived Severity, Anxiety and Self-Isolation Really Matter?," IJERPH, MDPI, vol. 19(22), pages 1-16, November.
    17. Martina Baránková & Katarína Greškovičová & Bronislava Strnádelová & Katarina Krizova & Júlia Halamová, 2022. "Let Us Take It into Our Own Hands: Patient Experience during the COVID-19 Pandemic," IJERPH, MDPI, vol. 19(21), pages 1-15, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:19:y:2021:i:1:p:329-:d:713538. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.