Covid-19 vaccinesa model of acceptance behavior in the healthcare sector

  1. Jorge Pelegrín-Borondo 1
  2. Mario Arias-Oliva 2
  3. Ala Ali Almahameed 3
  4. Miguel Prado Román 4
  1. 1 Universidad de La Rioja
    info

    Universidad de La Rioja

    Logroño, España

    ROR https://ror.org/0553yr311

  2. 2 omplutense University of Madrid,
  3. 3 Universitat Rovira, Tarragona
  4. 4 Rey Juan Carlos University, Madrid
Revista:
European Research on Management and Business Economics

ISSN: 2444-8834

Año de publicación: 2021

Volumen: 27

Número: 3

Páginas: 10-18

Tipo: Artículo

DOI: 10.1016/J.IEDEEN.2021.100171 DIALNET GOOGLE SCHOLAR

Otras publicaciones en: European Research on Management and Business Economics

Resumen

The emergence of Covid-19 has affected all aspects of human life across the globe. Lockdowns everywhere are having dramatic social and economic consequences. No therapy has yet been approved, and vaccines are a priority potential tool to control the pandemic and its impacts. Multiple vaccines are in the last stage of the development process, but part of the population is not willing to get vaccinated for Covid-19. Several studies have examined the percentage of the population willing to get vaccinated, but few have analyzed the reasons for their decision. In this context, researching the factors influencing individuals’ intention to use a potential Covid-19 vaccine will be important to public health strategies. This paper analyzes these factors with an adapted Cognitive-Affective-Normative (CAN) model. Perceived vaccine efficacy is used as a cognitive vari- able, fear of the vaccine and fear of Covid-19 are used as affective variables, and social influence is used as the normative variable. The proposed model strongly explains the intention to use the Covid-19 vaccine (R2 = 0.81). The results show that vaccine efficacy will be the most important determinant of Covid-19 vac- cine acceptance, followed by social influence. The findings can be very helpful for public health policies aimed at achieving widespread vaccination, a must for vaccine success

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Referencias bibliográficas

  • Abbas, K. M., Kang, G. J., Chen, D., Werre, S. R., & Marathe, A. (2018). Demographics, per- ceptions, and socioeconomic factors affecting influenza vaccination among adults in the United States. PeerJ, 2018(7), 1–18. doi:10.7717/peerj.5171.
  • Abebe, A. M., Mengistu, T., & Mekuria, A. D. (2019). Measles case, immunization cover- age and its determinant factors among 12−23 month children, in Bassona Worena Woreda, Amhara Region, Ethiopia, 2018. BMC Research Notes, 12(1), 1–6. doi:10.1186/s13104-019-4104-8.
  • Ainslie, K. E. C., Haber, M., & Orenstein, W. A. (2019). Challenges in estimating influenza vaccine effectiveness. Expert Review of Vaccines, 18(6), 615–628. doi:10.1080/ 14760584.2019.1622419.
  • Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50, 179–211. doi:10.1016/0749-5978(91)90020-T.
  • Alkuwari, M. G., Aziz, N. A., Nazzal, Z. A. S., & Al-Nuaimi, S. A. (2011). Pandemic influ- enza A/H1N1 vaccination uptake among health care workers in Qatar: Motivators and barriers. Vaccine, 29(11), 2206–2211. doi:10.1016/j.vaccine.2010.08.093.
  • Anraad, C., Lehmann, B. A., Visser, O., van Empelen, P., Paulussen, T. G. W., Ruiter, R. A. C., et al. (2020). Social-psychological determinants of maternal pertus- sis vaccination acceptance during pregnancy among women in the Netherlands. Vaccine, 38(40), 6254–6266. doi:10.1016/j.vaccine.2020.07.047.
  • Borena, W., Luckner-Hornischer, A., Katzgraber, F., & Holm-von Laer, D. (2016). Factors affecting HPV vaccine acceptance in west Austria: Do we need to revise the current immunization scheme? Papillomavirus Research, 2(June), 173–177. doi:10.1016/j. pvr.2016.10.001.
  • CDC. (2014). Vaccine testing and the approval process. Retrieved September 19, 2020, from https://www.cdc.gov/vaccines/basics/test-approve.html
  • CDC. (2020). Seasonal influenza vaccine effectiveness, 2019−2020. Retrieved August 28, 2020, from https://www.cdc.gov/flu/vaccines-work/2019-2020.html
  • Chin, W. W. (1998). The partial least squares approach to structural equation model- ling. In George A. Marcoulides (Ed.), Modern methods for business research (pp. 295 −336). Mahwah, NJ, USA: Lawrence Erlbaum Associates.
  • Cordoba-Sanchez, V., Tovar-Aguirre, O. L., Franco, S., Arias Ortiz, N. E., Louie, K., Sanchez, G. I., et al. (2019). Perception about barriers and facilitators of the school- based HPV vaccine program of Manizales, Colombia: A qualitative study in school- enrolled girls and their parents. Preventive Medicine Reports, 16,(February) 100977. doi:10.1016/j.pmedr.2019.100977.
  • Corera, G. (2020). Coronavirus vaccine: Short cuts and allegations of dirty tricks in race to be first. BBC News. Retrieved from https://www.bbc.com/news/world- 53864069.
  • Corum, J., Wee, S.-. L., & Zimmer, C. (2020). Coronavirus vaccine tracker (pp. 1−17). The New York Times. Retrieved from https://www.nytimes.com/interactive/2020/sci ence/coronavirus-vaccine-tracker.html.
  • Dijkstra, T. K., & Henseler, J. (2015). Consistent partial least squares path modeling. MIS Quarterly, 39(2), 297–316. doi:10.25300/MISQ/2015/39.2.02.
  • Dub e, E., Gagnon, D., Ouakki, M., Bettinger, J. A., Witteman, H. O., MacDonald, S., et al. (2018). Measuring vaccine acceptance among Canadian parents: A survey of the Canadian Immunization Research Network. Vaccine, 36(4), 545–552. doi:10.1016/j.vaccine.2017.12.005.
  • Ekman, P. (1999). Basic emotions. In T. Dalgleish, & M. Power (Eds.), Handbook of cogni- tion and emotion (pp. 45−60). Sussex, UK: John Wiley & Sons.
  • Esen, S., & Derya, T. (2010). Knowledge, attitudes and anxiety towards influenza A/H1N1 vaccination of healthcare workers in Turkey. BMC Infectious Diseases, 10, 281. Retrieved from http://ovidsp.ovid.com/ovidweb.cgi?T=JS&PAGE=reference& D=emed9&NEWS=N&AN=20863386.
  • Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention and behavior: An introduction to theory and research. Reading, MA: Addison-Wesley.
  • Fu, L. Y., Zimet, G. D., Latkin, C. A., & Joseph, J. G. (2017). Associations of trust and healthcare provider advice with HPV vaccine acceptance among African American parents. Vaccine, 35(5), 802–807. doi:10.1016/j.vaccine.2016.12.045.
  • Gallagher, A. (2020). Coronavirus: What we still don’t know about Covid-19BBC News. Retrieved from https://www.bbc.com/news/health-52006988.
  • García-Milon, A., Juaneda-Ayensa, E., Olarte-Pascual, C., & Pelegrín-Borondo, J. (2020). Towards the smart tourism destination: Key factors in information source use on the tourist shopping journey. Tourism Management Perspectives, 36, 100730. doi:10.1016/j.tmp.2020.100730.
  • Gefen, D., Rigdon, E. E., & Straub, D. (2011). Editor’s comments: An update and exten- sion to SEM guidelines for administrative and social science research. MIS Quar- terly, 35(2), iii–xiv. doi:10.2307/23044042.
  • Grady, C., Shah, S., Miller, F., Danis, M., Nicolini, M., Ochoa, J., et al. (2020). So much at stake: Ethical tradeoffs in accelerating SARSCoV-2 vaccine development. Vaccine, 38(41), 6381–6387. doi:10.1016/j.vaccine.2020.08.017.
  • Hair, J. F., Ringle, C. M., & Sarstedt, M. (2013). Partial least squares structural equation modeling: Rigorous applications, better results and higher acceptance. Long Range Planning, 46(1−2), 1–12. doi:10.1016/j.lrp.2013.01.001.
  • Han, S., Lerner, J., & Keltner, D. (2006). Feelings and consumer decision making. Journal of Consumer Psychology, 17(3), 158–168. doi:10.1126/science.1125877.
  • Harapan, H., Wagner, A. L., Yufika, A., Winardi, W., Anwar, S., Gan, A. K., et al. (2020). Acceptance of a COVID-19 vaccine in southeast asia: A cross-sectional study in Indonesia. Frontiers in Public Health, 8(July), 1–8. doi:10.3389/fpubh.2020.00381.
  • Harrison, N., Poeppl, W., Miksch, M., Machold, K., Kiener, H., Aletaha, D., et al. (2018). Predictors for influenza vaccine acceptance among patients with inflammatory rheumatic diseases. Vaccine, 36(32), 4875–4879. doi:10.1016/j. vaccine.2018.06.065.
  • Heisbourg, F. (2020). From Wuhan to the world: How the pandemic will reshape geo- politics. Survival: Global Politics and Strategy, 62(3), 7–24. doi:10.1080/ 00396338.2020.1763608
  • Izard, C. E. (1977). Human emotions. New York: Plenum Press. Jonathan, L., & Mcgraw, A. P. (2009). Emotional accounting: How feelings about money influence consumer choice. Journal of Marketing Research, 46(1), 66–80.
  • Kyaw, W. M., Chow, A., Hein, A. A., Lee, L. T., Leo, Y. S., & Ho, H. J. (2019). Factors influ- encing seasonal influenza vaccination uptake among health care workers in an adult tertiary care hospital in Singapore: A cross-sectional survey. American Journal of Infection Control, 47(2), 133–138. doi:10.1016/j.ajic.2018.08.011.
  • LaFraniere, S., Thomas, K., Weiland, N., Baker, P., & Karni, A. (2020). Scientists worry about political influence over coronavirus vaccine project. The New York Times. Retrieved from https://www.nytimes.com/2020/08/02/us/politics/coronavirus-vac cine.html.
  • Lazarus, J. V., Ratzan, S., Palayew, A., Gostin, L. O., Larson, H. J., Rabin, K., et al. (2020). Hesitant or not? A global survey of potential acceptance of a COVID-19 vaccine. medRxiv. doi:10.1101/2020.08.23.20180307.
  • Leung, S. O. (2011). A comparison of psychometric properties and normality in 4-, 5-, 6- , and 11-point Likert scales. Journal of Social Service Research, 37(4), 412–421. doi:10.1080/01488376.2011.580697.
  • Lwin, M. O., Lu, J., Sheldenkar, A., Schulz, P. J., Shin, W., Gupta, R., et al. (2020). Global sentiments surrounding the COVID-19 pandemic on Twitter: Analysis of Twitter trends. JMIR Public Health and Surveillance, 6(2), e19447. doi:10.2196/19447.
  • Malik, A.A., .McFadden, S.M., .Elharake, J., & Omer, S.B. (2020). Determinants of COVID- 19 vaccine acceptance in the US. medRxiv. doi:10.1016/j.eclinm.2020.100495
  • Maltezou, H. C., Pelopidas Koutroumanis, P., Kritikopoulou, C., Theodoridou, K., Katerelos, P., Tsiaousi, I., et al. (2019). Knowledge about influenza and adherence to the recommendations for influenza vaccination of pregnant women after an educational intervention in Greece. Human Vaccines and Immunotherapeutics, 15 (5), 1070–1074. doi:10.1080/21645515.2019.1568158.
  • Nan, X., Daily, K., Richards, A., Holt, C., Wang, M. Q., Tracy, K., et al. (2019). The role of trust in health information from medical authorities in accepting the HPV vaccine among African American parents. Human Vaccines and Immunotherapeutics, 15(7 −8), 1723–1731. doi:10.1080/21645515.2018.1540825.
  • Nguyen, T. T. M., Lafond, K. E., Nguyen, T. X., Tran, P. D., Nguyen, H. M., Ha, V. T. C., et al. (2020). Acceptability of seasonal influenza vaccines among health care workers in Vietnam in 2017. Vaccine, 38(8), 2045–2050. doi:10.1016/j.vac- cine.2019.12.047.
  • O’Grady, S. (2020). Why is coronavirus making the economy worse? The Washington Post. Retrieved August 25, 2020 from https://www.washingtonpost.com/world/ 2020/07/03/how-has-coronavirus-pandemic-affected-global-poverty/.
  • Oldin, C., Gols€ater, M., Schollin Ask, L., Fredriksson, S., & Stenmarker, M. (2019). Intro- duction of rotavirus vaccination in a Swedish region: Assessing parental decision- making, obtained vaccination coverage and resulting hospital admissions. Acta Paediatrica. International Journal of Paediatrics, 108(7), 1329–1337. doi:10.1111/ apa.14674.
  • Ortony, A., & Turner, T. J. (1990). What’s basic about basic emotions? Psychological Review, 97(3), 315–331. doi:10.1037//0033-295x.97.3.315.
  • Otieno, N. A., Otiato, F., Nyawanda, B., Adero, M., Wairimu, W. N., Ouma, D., et al. (2020). Drivers and barriers of vaccine acceptance among pregnant women in Kenya. Human Vaccines and Immunotherapeutics, 00(00), 1–9. doi:10.1080/21645515.2020.1723364.
  • Padhi, B.K., .& Almohaithef, M.A. (.2020). Determinants of COVID-19 vaccine acceptance in Saudi Arabia: A web-based national survey. MedRxiv, 2020.05.27.20114413. https://doi.org/10.1101/2020.05.27.20114413
  • Patil, S. S., Patil, S. R., Ganla, A., & Durgawale, P. M. (2020). Knowledge and awareness about cervical cancer and human papilloma virus (HPV) vaccine among nursing students. Journal of Critical Reviews, 7(12), 384–393. doi:10.31838/jcr.07.12.73.
  • Pelegrín-Borondo, J., Ara ujo-Vila, N., & Fraid-Brea, J. A. (2020). Comparison of spa choice betweenwellness tourists and healthcare/medical tourists. Hearlcare, 8 (544), 1–16. doi:10.3390/healthcare8040544.
  • Pelegrín-Borondo, J., Arias-Oliva, M., & Olarte-Pascual, C. (2017). Emotions, price and quality expectations in hotel services. Journal of Vacation Marketing, 23(4), 322– 338. doi:10.1177/1356766716651305.
  • Pelegrín-Borondo, J., Juaneda-Ayensa, E., Gonz alez-Menorca, L., & Gonz alez-Menorca, C. (2015). Dimensions and basic emotions: A complementary approach to the emotions produced to tourists by the hotel. Journal of Vacation Marketing, 21(4), 351–365. doi:10.1177/1356766715580869.
  • Pelegrín-Borondo, J., Reinares-Lara, E., Olarte-Pascual, C., & Garcia-Sierra, M. (2016). Assessing the moderating effect of the end user in consumer behavior: The accep- tance of technological implants to increase innate human capacities. Frontiers in Psychology, 7(132), 1–13. doi:10.3389/fpsyg.2016.00132.
  • Petter, S., Straub, D., & Rai, A. (2007). Specifying formative constructs in information systems research. MIS Quarterly, 31(4), 623–656. doi:10.2307/25148814.
  • Poland, G. A. (2010). The 2009-2010 influenza pandemic: Effects on pandemic and sea- sonal vaccine uptake and lessons learned for seasonal vaccination campaigns. Vac- cine, 28(Suppl. 4), 3–13. doi:10.1016/j.vaccine.2010.08.024.
  • Quinn, S. C., Jamison, A. M., An, J., Hancock, G. R., & Freimuth, V. S. (2019). Measuring vaccine hesitancy, confidence, trust and flu vaccine uptake: Results of a national survey of White and African American adults. Vaccine, 37(9), 1168–1173. doi:10.1016/j.vaccine.2019.01.033.
  • Ram, J., Corkindale, D., & Wu, M.-. L. (2014). ERP adoption and the value creation: examining the contributions of antecedents. Journal of Engineering and Technology Management, 33, 113–133. doi:10.1016/j.jengtecman.2014.04.001.
  • Ramsey, M. A., & Marczinski, C. A. (2011). College students’ perceptions of H1N1 flu risk and attitudes toward vaccination. Vaccine, 29(44), 7599–7601. doi:10.1016/j.vac- cine.2011.07.130.
  • Reinares-Lara, E., Olarte-Pascual, C., & Pelegrín-Borondo, J. (2018). Do you want to be a cyborg? The moderating effect of ethics on neural implant acceptance. Computers in Human Behavior, 85, 43–53.
  • Remschmidt, C., Walter, D., Schmich, P., Wetzstein, M., Deler e, Y., & Wichmann, O. (2014). Knowledge, attitude, and uptake related to human papillo- mavirus vaccination among young women in Germany recruited via a social media site. Human Vaccines and Immunotherapeutics, 10(9), 2527–2535. doi:10.4161/ 21645515.2014.970920.
  • Richins, M. L. (1997). Measuring emotions in the consumption experience. Journal of Consumer Research, 24, 127–146.
  • Rold an, J. L., & S anchez-Franco, M. J. (2012). Variance-based structural equation model- ing: guidelines for using partial least squares in information systems research. Research methodologies, innovations and philosophies in software systems engi- neering and information systems (pp. 193−221). doi:10.4018/978-1-4666-0179-6. ch010.
  • Russell, J. A. (2003). Core affect and the psychological construction of emotion. Psycho- logical Review, 110(1), 145–172. doi:10.1037/0033-295X.110.1.145.
  • Russell, J. A. (2009). Emotion, core affect, and psychological construction. Cognition and Emotion, 23(7), 1259–1283. doi:10.1080/02699930902809375.
  • Russell, J. A., & Barrett, L. F. (1999). Core affect, prototypical emotional episodes, and other things called emotion: Dissecting the elephant. Journal of Personality and Social Psychology, (5), 76. doi:10.1037//0022-3514.76.5.805.
  • Salmon, D. A., Moulton, L. H., Omer, S. B., DeHart, M. P., Stokley, S., & Halsey, N. A. (2005). Factors associated with refusal of childhood vaccines among parents of school-aged children: A case-control study. Archives of Pediatrics and Adolescent Medicine, 159(5), 470–476. doi:10.1001/archpedi.159.5.470.
  • Sarathchandra, D., Navin, M. C., Largent, M. A., & McCright, A. M. (2018). A survey instrument for measuring vaccine acceptance. Preventive Medicine, 109, 1–7. doi:10.1016/j.ypmed.2018.01.006.
  • Scherer, K. R. (2005). What are emotions? And how can they be measured? Social Sci- ence Information, 44(4), 695–729. doi:10.1177/0539018405058216.
  • Shmueli, G., Ray, S., Velasquez-Estrada, J.-. M., & Chatla, S. B. (2016). The elephant in the room: Predictive performance of PLS models. Journal of Business Research, 69(10), 4552–4564. doi:10.1016/j.jbusres.2016.03.049.
  • Sun, X., Wagner, A. L., Ji, J., Huang, Z., Zikmund-Fisher, B. J., Boulton, M. L., et al. (2020). A conjoint analysis of stated vaccine preferences in Shanghai, China. Vaccine, 38(6), 1520–1525. doi:10.1016/j.vaccine.2019.11.062.
  • Teo, L. M., Smith, H. E., Lwin, M. O., & Tang, W. E. (2019). Attitudes and perception of influenza vaccines among older people in Singapore: A qualitative study. Vaccine, 37(44), 6665–6672. doi:10.1016/j.vaccine.2019.09.037.
  • Venkatesh, Morris, Davis, & Davis (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425. doi:10.2307/30036540.
  • Venkatesh, V., & Davis, F. D. (2000). A Theoretical extension of the technology accep- tance model: Four longitudinal field studies. Management Science, 46(2), 186–204. doi:10.1287/mnsc.46.2.186.11926.
  • Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012). Consumer acceptance and use of informa- tion technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157–178. doi:10.2307/41410412.
  • Watson, D., Clark, L. A., & Tellegen, A. (1988). Development and validation of brief measures of brief measures of positive and negative affect: The PANAS scales. Jour- nal of Personality and Social Psychology, 54(6), 1063–1070.
  • WHO. (2018). The Global Vaccine Safety Initiative (GVSI). Retrieved August 28, 2020, from https://www.who.int/vaccine_safety/initiative/en/
  • WHO. (2020). Coronavirus disease (COVID-19). Retrieved August 25, 2020, from https://www.who.int/emergencies/diseases/novel-coronavirus-2019
  • World Bank (2020). Global economic prospects. 2020. Retrieved August 25, 2020, from https://www.worldbank.org/en/publication/global-economic-prospects