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Coronavirus – Research Article

The choice of Taiwanese college students to vaccinate against severe special infectious pneumonia COVID-19 based on the integrated theory of planning behavior

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Article: 2148500 | Received 24 Aug 2022, Accepted 05 Nov 2022, Published online: 22 Nov 2022

References

  • Taiwan Centers of Disease Control, Ministry of Health and Welfare. Introduction of severe special infectious pneumonia diseases. 2022 [ accessed 2020 Apr 27]. https://www.cdc.gov.tw/Category/Page/vleOMKqwuEbIMgqaTeXG8A.
  • Jiang N, Gub P, Liud K, Song N, Jiang X. Acceptance of COVID-19 vaccines among college students: a study of the attitudes, knowledge, and willingness of students to vaccinate. Hum Vaccin Immunother. 2021;17(12):4914–13. doi:10.1080/21645515.2021.2013077.
  • Kecojevic A, Basch CH, Sullivan M, Chen YT, Davi NK. COVID‑19 vaccination and intention to vaccinate among a sample of college Students in New Jersey. J Community Health. 2021;46(6):1059–68. doi:10.1007/s10900-021-00992-3.
  • Sharma M, Davis RE, Wilkerson AH. COVID-19 vaccine acceptance among college students: a theory-based analysis. Int J Environ Res Public Health. 2021;18(9):4617. doi:10.3390/ijerph18094617.
  • Brunson EK, Rohde RE, Fulton LV. College students’ willingness to accept COVID-19 vaccines. J Am Coll Health. 2021;14:1–9. doi:10.1080/07448481.2021.1996375.
  • Wotring AJ, Hutchins M, Johnson MK, Ferng S-F, Strawser C, Pfrank H, Warner M, Behrendt L. COVID-19 vaccine uptake among college students at a Midwest university. J Community Health. 2022;47(2):292–97. doi:10.1007/s10900-021-01051-7.
  • Xiao X, Wong RM. Vaccine hesitancy and perceived behavioral control: a meta-analysis. Vaccine. 2020;38(33):5131–38. doi:10.1016/j.vaccine.2020.04.076.
  • Fan CW, Chen IH, Ko NY, Yen CF, Lin CY, Griffiths MD, Pakpour AH. Extended theory of planned behavior in explaining the intention to COVID-19 vaccination uptake among mainland Chinese university students: an online survey study. Hum Vaccin Immunother. 2021;17(10):3413–20. doi:10.1080/21645515.2021.1933687.
  • Li J, Liu X, Zou Y, Deng Y, Zhang M, Yu M, Wu D, Zheng H, Zhao X. Factors affecting COVID-19 preventive behaviors among university students in Beijing, China: an empirical study based on the extended theory of planned behavior. Int J Environ Res Public Health. 2021;18(13):7009. doi:10.3390/ijerph18137009.
  • Shmueli L. Predicting intention to receive COVID-19 vaccine among the general population using the health belief model and the theory of planned behavior model. BMC Public Health. 2021;21(1):804. doi:10.1186/s12889-021-10816-7.
  • Ullah I, Lin CY, Malik NI, Wu TY, Araban M, Griffiths MD, Pakpour AH. Factors affecting Pakistani young adults’ intentions to uptake COVID-19 vaccination: an extension of the theory of planned behavior. Brain Behav. 2021;11(11):e2370. doi:10.1002/brb3.2370.
  • Zhang KC, Fang Y, Cao H, Chen H, Hu T, Chen Y, Zhou X, Wang Z. Behavioral intention to receive a COVID-19 vaccination among Chinese factory workers: cross-sectional online survey. J Med Internet Res. 2021;23(3):e24673. doi:10.2196/24673.
  • Gülpınar G, Uzun MB. Examining community pharmacists’ intention to provide pharmacist-driven vaccination services: a structural equation modelling. Vaccine. 2022;40(1):67–75. doi:10.1016/j.vaccine.2021.11.044.
  • Ajzen I. From intentions to action: a theory of planned behavior. In: Kuhl J Beckmann J, editors. Action-control: from cognition to behavior. Heidelberg: Springer-Verlag; 1985. p. 11–39.
  • Fishbein M. An investigation of the relationships between beliefs about an object and the attitude toward the object. Hum Relat. 1963;16:233–40. doi:10.1177/001872676301600302.
  • Ajzen I, Fishbein M. Belief, attitude, intention, and behavior: an introduction to theory and research. Reading, MA: Addison-Wesley; 1975pp. 53–89.
  • Ajzen I, Fishbein M. Understanding attitudes and predicting social behavior. Englewood Cliffs, NJ: Prentice-Hall; 1980.
  • Ajzen I. Attitudes, personality, and behavior. Chicago (IL): The Dorsey Press; 1988.
  • Ajzen I. The theory of planned behavior. Organ Behav Hum Decis Process. 1991;50(2):179–211. doi:10.1016/0749-5978(91)90020-T.
  • Akerlof GA. The market for “lemons”: quality uncertainty and the market mechanism. Q J Econ. 1970;84(3):488–500. doi:10.2307/1879431.
  • Alam MM, Melhim LKB, Ahmad MT, Jemmali M. Public attitude towards covid-19 vaccination: validation of covid-vaccination attitude scale (c-vas). J Multidiscip Healthc. 2022;15:941–54. doi:10.2147/JMDH.S353594.
  • Graupensperger S, Abdallah DA, Lee CM. Social norms and vaccine uptake: college students’ COVID vaccination intentions, attitudes, and estimated peer norms and comparisons with influenza vaccine. Vaccine. 2021;39(15):2060–67. doi:10.1016/j.vaccine.2021.03.018.
  • Dou K, Yang J, Wang L-X, Li J-B. 2022. Theory of planned behavior explains males’ and females’ intention to receive COVID-19 vaccines differently. Hum Vaccines Immunother. 18(5). doi:10.1080/21645515.2022.2086393.
  • Antonopoulou V, Goffe L, Meyer CJ, Grimani A, Graham F, Lecouturier J, Tang MY, Chadwick P, Sniehotta FF. 2022. A comparison of seasonal influenza and novel Covid-19 vaccine intentions: a cross-sectional survey of vaccine hesitant adults in England during the 2020 pandemic. Hum Vaccines Immunother. 18(5). doi:10.1080/21645515.2022.2085461.
  • Husain F, Shahnawaz MG, Khan NH, Parveen H, Savani K. Intention to get COVID-19 vaccines: exploring the role of attitudes, subjective norms, perceived behavioral control, belief in COVID-19 misinformation, and vaccine confidence in Northern India. Hum Vaccines Immunother. 2021;17(11):3941–53. doi:10.1080/21645515.2021.1967039.
  • Li L, Li J. Factors affecting young Chinese women’s intentions to uptake human papillomavirus vaccination: an extension of the theory of planned behavior model. Hum Vaccines Immunother. 2020;16(12):3123–30. doi:10.1080/21645515.2020.1779518.
  • Hohmann LA, Garza KB. The moderating power of impulsivity: a systematic literature review examining the theory of planned behavior. Pharmacy. 2022 18;10(4):85. doi:10.3390/pharmacy10040085.
  • Koskan A, Stecher C, Helitzer D. College males’ behaviors, intentions, and influencing factors related to vaccinating against HPV. Hum Vaccines Immunother. 2021;17(4):1044–51. doi:10.1080/21645515.2020.1819101.
  • Armitage CJ, Conner M. Efficacy of the theory of planned behaviour: a meta-analytic review. Br J Soc Psychol. 2001;40(4):471–99. doi:10.1348/014466601164939.
  • An PL, Nguyen HTN, Nguyen DD, Vo LY, Huynh G. The intention to get a COVID-19 vaccine among the students of health science in Vietnam. Hum Vaccines Immunother. 2021;17(12):4823–28. doi:10.1080/21645515.2021.1981726.
  • Taylor S, Todd PA. Understanding information technology usage: a text of competing models. Inf Syst Res. 1995;6(2):144–76. doi:10.1287/isre.6.2.144.
  • Bandura A. Self-efficacy: toward a unifying theory of behavioral change. Psychol Rev. 1977;84(2):191–215. doi:10.1037/0033-295X.84.2.191.
  • Triandis HC. International behavior. Monterey (CA): Brooks/Cole; 1977.
  • Triandis HC Values, attitudes, and interpersonal behavior. Nebraska Symposium on Motivation Nebraska; 1979; University of Nebraska Press.
  • Shiau WL, Yuan Y, Pu X, Ray S, Chen CC. Understanding fintech continuance: perspectives from self-efficacy and ECT-IS theories. Ind Manag Data Syst. 2020;120(9):1659–89. doi:10.1108/IMDS-02-2020-0069.
  • Kulkarni SP. The influence of information technology on information asymmetry in product markets. J Bus Econ Stud. 2000;6:55–71.
  • Larson HJ, Clarke RM, Jarrett C, Eckersberger E, Levine Z, Schulz WS, Paterson P. Measuring trust in vaccination: a systematic review. Hum Vaccin Immunother. 2018;14(7):1599–609. doi:10.1080/21645515.2018.1459252.
  • Kennedy J. Populist politics and vaccine hesitancy in Western Europe: an analysis of national-level data. Eur J Public Health. 2019;29(3):512–16. doi:10.1093/eurpub/ckz004.
  • Lee W Individual vaccination decision under uncertainty and information asymmetry. Master of Public Policy unpublished thesis. KDI School of Public Policy and Management; 2021.
  • Silva J, Bratberg J, Lemay V. COVID-19 and influenza vaccine hesitancy among college students. J Am Pharm Assoc. 2021;61(6):709–14. doi:10.1016/j.japh.2021.05.009.
  • Dryhurst S, Schneider CR, Kerr J, Freeman ALJ, Recchia G, Bles AM, Spiegelhalter D, Linden S. Risk perceptions of COVID-19 around the world. J Risk Res. 2020;23(7–8):994–1006. doi:10.1080/13669877.2020.1758193.
  • Duong HT, Nguyen HT, McFarlane SJ, Van-Nguyen LT. Risk perception and COVID-19 preventive behaviors: application of the integrative model of behavioral prediction. Soc Sci J. 2021 Feb 3;1–14. doi:10.1080/03623319.2021.1874176.
  • Roma P, Monaro M, Muzi L, Colasanti M, Ricci E, Biondi S, Napoli C, Ferracuti S, Mazza C. How to improve compliance with protective health measures during the COVID-19 outbreak: testing a moderated mediation model and machine learning algorithms. Int J Environ Res Public Health. 2003;17(19):7252. doi:10.3390/ijerph17197252.
  • Bao H, Cao B, Xiong Y, Tang W. Digital media’s role in the COVID-19 pandemic. JMIR Mhealth Uhealth. 2020;8(9):e20156. doi:10.2196/20156.
  • Limaye RJ, Sauer M, Ali J, Bernstein J, Wahl B, Barnhill A, Labrique A. Building trust while influencing online COVID-19 content in the social media world. Lancet Digital Health. 2020 Jun;2(6):e277–78. doi:10.1016/s2589-7500(20)30084-4.
  • Pennycook G, McPhetres J, Zhang Y, Rand D. Fighting COVID-19 misinformation on social media experimental evidence for a scalable accuracy-nudge intervention. Psychol Sci. 2020;31(7):770–80. doi:10.1177/0956797620939054.
  • Lockyer B, Islam S, Rahman A, Dickerson J, Pickett K, Sheldon T, Wright J, McEachan R, Sheard L. Understanding COVID-19 misinformation and vaccine hesitancy in context: findings from a qualitative study involving citizens in Bradford, UK. Health Expect. 2021;1–10. doi:10.1111/hex.13240.
  • Samal J. Impact of COVID-19 infodemic on psychological wellbeing and vaccine hesitancy. Egypt J Bronchol. 2021;15(1):14. doi:10.1186/s43168-021-00061-2.
  • Ullah I, Khan KS, Tahir MJ, Ahmed A, Harapan H. Myths and conspiracy theories on vaccines and COVID-19: potential effect on global vaccine refusals. Vacunas. 2021;22(2):93–97. doi:10.1016/j.vacun.2021.01.001.
  • Roozenbeek J, Schneider CR, Dryhurst S, Kerr J, Freeman ALJ, Recchia G, van der Bles AM, Van Der Linden S. Susceptibility to misinformation about COVID-19 around the world. R Soc Open Sci. 2020;7(10):201199. doi:10.1098/rsos.201199.
  • Islam MS, Kamal AHM, Kabir A, Southern DL, Khan SH, Hasan SMM, Sarkar T, Sharmin S, Das S, Roy T, et al. COVID-19 vaccine rumors and conspiracy theories: the need for cognitive inoculation against misinformation to improve vaccine adherence. PLoS One. 2021;16(5):e0251605. doi:10.1371/journal.pone.0251605.
  • Hair JF, Anderson RE, Tatham RL, Black WC. Multivariate data analysis. 5th ed. New York: Macmillan; 1998.
  • Fornell C, Larcker DF. Evaluating structural equation models with unobservable variables and measurement error. J Mark Res. 1981;18(1):39–50. doi:10.1177/002224378101800104.
  • Jöreskog KG, Sörbom D. LISREL 8: User’s reference guide. Chicago: Scientific Software International; 1996.
  • Jöreskog KG. Simultaneous factor analysis in several populations. Psychometrika. 1971;36(4):409–26. doi:10.1007/BF02291366.
  • Dijkstra TK, Henseler J. Consistent partial least squares path modeling. MIS Q. 2015;39(2):297–316. doi:10.25300/MISQ/2015/39.2.02.
  • Wixom BH, Watson HJ. An empirical investigation of the factors affecting data warehousing success. MIS Q. 2001;25(1):17–41. doi:10.2307/3250957.
  • Chin WW, Marcolin B, Newsted PR. A partial least squares latent variable modeling approach for measuring interaction effects: results from a Monte Carlo simulation study and an electronic-mail emotion/adoption study. Inf Syst Res. 2003;14(2):189–217. doi:10.1287/isre.14.2.189.16018.
  • Hair JF, Ringle CM, Sarstedt M. PLS-SEM: indeed a silver bullet. J Mark Theory Pract. 2011;19(2):139–52. doi:10.2753/MTP1069-6679190202.
  • Hair JF, Hult GTM, Ringle CM, Sarstedt M. A primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). Thousand Oaks: Sage; 2016.
  • Zhao X, Lynch JG Jr, Chen Q. Reconsidering Baron and Kenny: myths and truths about mediation analysis. J Consum Res. 2010;37(2):197–206. doi:10.1086/651257.
  • Podsakoff PM, MacKenzie SB, Lee J-Y, Podsakoff NP. Common method biases in behavioral research: a critical review of the literature and recommended remedies. J Appl Psychol. 2003;88(5):879–903. doi:10.1037/0021-9010.88.5.879.
  • Hu L-T, Bentler PM. Fit indices in covariance structure modeling: sensitivity to under parameterized model misspecification. Psychol Methods. 1998;3(4):424–53. doi:10.1037/1082-989X.3.4.424.
  • Hu L-T, Bentler PM. Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Struct Equ Model. 1999;6(1):1–55. doi:10.1080/10705519909540118.
  • Shi D, Maydeu-Olivares A, DiStefano C. The relationship between the standardized root mean square residual and model misspecification in factor analysis models. Multivariate Behav Res. 2018;53(5):676–94. doi:10.1080/00273171.2018.1476221.
  • Taiwan Centers of Disease Control, Ministry of Health and Welfare. COVID-19 vaccination statistics. 2022 [ accessed 2022 May 23]. https://www.cdc.gov.tw/File/Get/pEAZCvlPsFk6wbkouevsHg.