691
Views
7
CrossRef citations to date
0
Altmetric
Original Research

Public Attitude Towards COVID-19 Vaccination: Validation of COVID-Vaccination Attitude Scale (C-VAS)

, , &
Pages 941-954 | Published online: 29 Apr 2022

References

  • Coronavirus deaths worldwide by country | statista; 2021. Available from: https://www.statista.com/statistics/1093256/novel-coronavirus-2019ncov-deaths-worldwide-by-country/. Accessed April 2, 2022.
  • Gerend MA, Shepherd JE. Predicting human papillomavirus vaccine uptake in young adult women: comparing the health belief model and theory of planned behavior. Ann Behav Med. 2012;44(2):171–180. doi:10.1007/s12160-012-9366-5
  • Yaqub O, Castle-Clarke S, Sevdalis N, Chataway J. Attitudes to vaccination: a critical review. Soc Sci Med. 2014;112:1–11. doi:10.1016/j.socscimed.2014.04.018
  • Phillips N. The coronavirus is here to stay-here’s what that means. Nature. 2021;590(7846):382–384. doi:10.1038/d41586-021-00396-2
  • Alimoradi Z, Lin C-Y, Pakpour AH. Coronavirus disease-19 vaccine inequity and gross domestic product. Asian J Soc Health Psychol. 2021;4:129–130.
  • Ahorsu DW, Lin C-Y, Alimoradi Z, et al. Cyberchondria, fear of COVID-19, and risk perception mediate the association between social media addiction and intention to get COVID-19 vaccine. Vaccines. 2022;10(1):122. doi:10.3390/vaccines10010122
  • Ahorsu DK, Lin C-Y, Yahaghai R, et al. The mediational role of trust in the healthcare system in the association between generalized trust and willingness to get COVID-19 vaccination in Iran. Hum Vaccin Immunother. 2021;2:1–8.
  • Bartsch SM, O’Shea KJ, Ferguson MC, et al. Vaccine efficacy needed for a COVID-19 coronavirus vaccine to prevent or stop an epidemic as the sole intervention. Am J Prev Med. 2020;59(4):493–503. doi:10.1016/j.amepre.2020.06.011
  • Vosoughi S, Roy D, Aral S. The spread of true and false news online. Science. 2018;359(6380):1146–1151. doi:10.1126/science.aap9559
  • MacDonald NE. Vaccine hesitancy: definition, scope and determinants. Vaccine. 2015;33(34):4161–4164. doi:10.1016/j.vaccine.2015.04.036
  • MacDonald NE, Butler R, Dubé E. Addressing barriers to vaccine acceptance: an overview. Hum Vaccin Immunother. 2018;14(1):218–224. doi:10.1080/21645515.2017.1394533
  • Kukreti S, Lu M-Y, Lin Y-H, et al. Willingness of Taiwan’s healthcare workers and outpatients to vaccinate against COVID-19 during a period without community outbreaks. Vaccines. 2021;9(3):246. doi:10.3390/vaccines9030246
  • Alam MM, Sikdar P, Kumar A, Mittal A. Assessing adherence and patient satisfaction with medication: validation of TSQM in emerging markets. Int J Pharm Healthc Mark. 2018;12(4):409–432. doi:10.1108/IJPHM-10-2016-0053
  • Alam MM, Mittal A, Chawla D. Patients’ perception towards branded and generic medicines in an emerging economy: a scale development and validation study. Glob Bus Rev. 2019;20(5):1292–1310. doi:10.1177/0972150919846812
  • Fan C-W, Chen J-S, Addo F-M, et al. Examining the validity of the drivers of COVID-19 vaccination acceptance scale using rasch analysis. Expert Rev Vaccines. 2021. doi:10.1080/14760584.2022.2011227
  • Yeh YC, Chen I-H, Ahorsu DK, Ko N-Y, Chen K-L. Measurement invariance of the Drivers of COVID-19 Vaccination Acceptance Scale: comparison between Taiwanese and mainland Chinese-speaking populations. Vaccines. 2021;9(3):297. doi:10.3390/vaccines9030297
  • Chen I-H, Ahorsu DK, Ko N-Y, et al. Adapting the motors of influenza vaccination acceptance scale into the motors of COVID-19 vaccination acceptance scale: psychometric evaluation among mainland Chinese university students. Vaccine. 2021;39(32):4510–4515. doi:10.1016/j.vaccine.2021.06.044
  • Al-Mohaithef M, Padhi BK. Determinants of COVID-19 vaccine acceptance in Saudi Arabia: a web-based national survey. J Multidiscip Healthc. 2020;13:1657. doi:10.2147/JMDH.S276771
  • Qattan A, Alshareef N, Alsharqi O, Al Rahahleh N, Chirwa GC, Al-Hanawi MK. Acceptability of a COVID-19 vaccine among healthcare workers in the Kingdom of Saudi Arabia. Front Med. 2021;8:83. doi:10.3389/fmed.2021.644300
  • Fishbein M, Ajzen A. Understanding Attitudes and Predicting Social Behaviour. Englewood Cliffs: Preventive-Hall. Inc; 1980.
  • Rosenstock IM. The health belief model and preventive health behavior. Health Educ Monogr. 1974;2(4):354–386. doi:10.1177/109019817400200405
  • Bandura A, Walters RH. Social Learning Theory. Vol. 1. Englewood cliffs: Prentice Hall; 1977.
  • Rosenstock IM, Strecher VJ, Becker MH. Social learning theory and the health belief model. Health Educ Q. 1988;15(2):175–183. doi:10.1177/109019818801500203
  • Kocoglu‐Tanyer D, Dengiz KS, Sacikara Z. Development and psychometric properties of the public attitude towards vaccination scale–Health belief model. J Adv Nurs. 2020;76(6):1458–1468.
  • Jeihooni AK, Hidarnia A, Kaveh MH, Hajizadeh E, Askari A. The effect of an educational program based on health belief model on preventing osteoporosis in women. Int J Prev Med. 2015;6. doi:10.4103/2008-7802.151436
  • Tuzcu A, Bahar Z, Gözüm S. Effects of interventions based on health behavior models on breast cancer screening behaviors of migrant women in Turkey. Cancer Nurs. 2016;39(2):E40–E50. doi:10.1097/NCC.0000000000000268
  • Zareban I, Karimy M, Ahmadi R, Tabasi Darmiyan A, Taher M. Effectiveness of a theory-based education program in prevention of HIV transmission risk behaviors in HIV+ patients: an intervention in health belief model framework. Quart Horizon Med Sci. 2015;21:13–18.
  • Yahaghi R, Ahmadizade S, Fotuhi R, et al. Fear of COVID-19 and perceived COVID-19 infectability supplement theory of planned behavior to explain Iranians’ intention to get COVID-19 vaccinated. Vaccines. 2021;9:684. doi:10.3390/vaccines9070684
  • Fan C-W, Chen I-H, Ko N-Y, et al. 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):3413–3420. doi:10.1080/21645515.2021.1933687
  • 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. doi:10.1080/21645515.2020.1790279
  • 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
  • Sullivan KA, White KM, Young RM, Chang A, Roos C, Scott C. Predictors of intention to reduce stroke risk among people at risk of stroke: an application of an extended health belief model. Rehabil Psychol. 2008;53(4):505. doi:10.1037/a0013359
  • Armstrong K, Berlin M, Schwartz JS, Propert K, Ubel PA. Barriers to influenza immunization in a low-income urban population. Am J Prev Med. 2001;20(1):21–25. doi:10.1016/S0749-3797(00)00263-4
  • Smith PJ, Humiston SG, Marcuse EK, et al. Parental delay or refusal of vaccine doses, childhood vaccination coverage at 24 months of age, and the Health Belief Model. Public Health Rep. 2011;126(2_suppl):135–146. doi:10.1177/00333549111260S215
  • Rogers RW. A protection motivation theory of fear appeals and attitude change. J Psychol. 1975;91(1):93–114. doi:10.1080/00223980.1975.9915803
  • Wang PW, Ahorsu DK, Lin CY, et al. Motivation to have COVID-19 vaccination explained using an extended protection motivation theory among university students in China: the role of information sources. Vaccines. 2021;9(4):380. doi:10.3390/vaccines9040380
  • Huang P-C, Hung C-H, Kuo Y-J, et al. Expanding protection motivation theory to explain willingness of COVID-19 vaccination uptake among Taiwanese university students. Vaccines. 2021;9:1046. doi:10.3390/vaccines9091046
  • Dubé E, Gagnon D, MacDonald NE. Strategies intended to address vaccine hesitancy: review of published reviews. Vaccine. 2015;33(34):4191–4203. doi:10.1016/j.vaccine.2015.04.041
  • Healy CM, Montesinos DP, Middleman AB. Parent and provider perspectives on immunization: are providers overestimating parental concerns? Vaccine. 2014;32(5):579–584. doi:10.1016/j.vaccine.2013.11.076
  • Kettunen C, Nemecek J, Wenger O. Evaluation of low immunization coverage among the Amish population in rural Ohio. Am J Infect Control. 2017;45(6):630–634. doi:10.1016/j.ajic.2017.01.032
  • Larson HJ, Jarrett C, Eckersberger E, Smith DM, Paterson P. Understanding vaccine hesitancy around vaccines and vaccination from a global perspective: a systematic review of published literature, 2007–2012. Vaccine. 2014;32(19):2150–2159. doi:10.1016/j.vaccine.2014.01.081
  • McCarthy EM, Azeez MA, Fitzpatrick FM, Donnelly S. Knowledge, attitudes, and clinical practice of rheumatologists in vaccination of the at-risk rheumatology patient population. JCR. 2012;18(5):237–241.
  • Elbeshbishi S, King L. Exclusive: two-thirds of Americans say they won’t get COVID-19 vaccine when it’s first available. USA Today/Suffolk Poll Shows USA Today Sep. 2020;7:456.
  • Magadmi RM, Kamel FO. Beliefs and barriers associated with COVID-19 vaccination among the general population in Saudi Arabia. BMC Public Health. 2021;21(1):1–8. doi:10.1186/s12889-021-11501-5
  • Tustin JL, Crowcroft NS, Gesink D, Johnson I, Keelan J, Lachapelle B. Facebook recruitment of vaccine-hesitant Canadian parents: cross-sectional study. JMIR Public Health Surveillance. 2017;3(3):e6870. doi:10.2196/publichealth.6870
  • Phadke VK, Bednarczyk RA, Salmon DA, Omer SB. Association between vaccine refusal and vaccine-preventable diseases in the United States: a review of measles and pertussis. JAMA. 2016;315(11):1149–1158. doi:10.1001/jama.2016.1353
  • Hak E, Schönbeck Y, De Melker H, Van Essen GA, Sanders EA. Negative attitude of highly educated parents and health care workers towards future vaccinations in the Dutch childhood vaccination program. Vaccine. 2005;23(24):3103–3107. doi:10.1016/j.vaccine.2005.01.074
  • Maurer J, Uscher-Pines L, Harris KM. Perceived seriousness of seasonal and A (H1N1) influenzas, attitudes toward vaccination, and vaccine uptake among US adults: does the source of information matter? Prev Med. 2010;51(2):185–187. doi:10.1016/j.ypmed.2010.05.008
  • Guillemin F, Bombardier C, Beaton D. Cross-cultural adaptation of health-related quality of life measures: literature review and proposed guidelines. J Clin Epidemiol. 1993;46(12):1417–1432. doi:10.1016/0895-4356(93)90142-N
  • Wild D, Grove A, Martin M, et al. Principles of good practice for the translation and cultural adaptation process for patient reported outcomes (PRO) measures: report of the ISPOR task force for translation and cultural adaptation. Value Health. 2005;8:94–104. doi:10.1111/j.1524-4733.2005.04054.x
  • Cochran WG. Sampling techniques, New York, 1953. Statistical Surveys E. Grebenik and CA Moser; 1963.
  • Hinkin TR. A review of scale development practices in the study of organizations. J Manage. 1995;21(5):967–988. doi:10.1177/014920639502100509
  • Holsti OR. Content Analysis for the Social Sciences and Humanities. Reading, MA: Addison-Wesley; 1969:602–611.
  • Churchill GA Jr. A paradigm for developing better measures of marketing constructs. J Mark Res. 1979;16(1):64–73. doi:10.1177/002224377901600110
  • Nunnally J. Psychometric Theory. New York, NY: McGraw-Hill; 1978.
  • Kim JO, Mueller CW. Factor Analysis: Statistical Methods and Practical Issues. Beverly Hills, CA: SAGE Publications; 1978.
  • Hair JJ, Black WC, Babin BJ, Anderson RT, &tatham RL. Multivariate Data Analysis (6thed.). Upper Saddle River: Prentice Hall; 2006.
  • Costello AB, Osborne JW. Best practices in exploratory factor analysis: four recommendations for getting the most from your analysis. Pract Assess Res Eval. 2005;10(7):1–9.
  • Teo T. Evaluating the intention to use technology among student teachers: a structural equation modeling approach. Int J Technol Teach Learn. 2009;5(2):e34.
  • Teo T, Lee CB, Chai CS, Wong SL. Assessing the intention to use technology among pre-service teachers in Singapore and Malaysia: a multigroup invariance analysis of the Technology Acceptance Model (TAM). Comput Educ. 2009;53(3):1000–1009. doi:10.1016/j.compedu.2009.05.017
  • Mardia KV. Measures of multivariate skewness and kurtosis with applications. Biometrika. 1970;57(3):519–530. doi:10.1093/biomet/57.3.519
  • Raykov T, Marcoulides GA. A First Course in Structural Equation Modeling. Routledge; 2012.
  • Nunnally JC, Bernstein I. Psychometric theory. d. Intentar embellecer nuestras ciudades y también las. New York: MacGraw-Hill; 1978.
  • O’Leary-Kelly SW, Vokurka RJ. The empirical assessment of construct validity. J Oper Manag. 1998;16(4):387–405. doi:10.1016/S0272-6963(98)00020-5
  • Hair JF, Black WC, Babin BJ, Anderson RE. Multivariate Data Analysis. Prentice Hall. 7th ed. Pearson; 2010.
  • Gaskin J. Validity master. Stats Tools Package; 2016. Available from: http://statwiki.kolobkreations.com. Accessed April 2, 2022.
  • Hu LT, 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
  • Hu LT, Bentler PM. Fit indices in covariance structure modeling: sensitivity to underparameterized model misspecification. Psychol Methods. 1998;3(4):424. doi:10.1037/1082-989X.3.4.424
  • Podsakoff NP. Common method biases in behavioral research: a critical review of the literature and recommended remedies. J Appl Psychol. 2003;885(879):10–1037.
  • Klein R, Rai A, Straub DW. Competitive and cooperative positioning in supply chain logistics relationships. Decis Sci. 2007;38(4):611–646. doi:10.1111/j.1540-5915.2007.00172.x
  • Bollyky TJ, Bown CP. The tragedy of vaccine nationalism: only cooperation can end the pandemic. Foreign Aff. 2020;99:96.
  • Dubé E, Gagnon D, Kiely M, et al. Seasonal influenza vaccination uptake in Quebec, Canada, 2 years after the influenza A (H1N1) pandemic. Am J Infect Control. 2014;42(5):e55–e59. doi:10.1016/j.ajic.2014.01.006
  • Alsaad A, Al-Okaily M. Acceptance of protection technology in a time of fear: the case of Covid-19 exposure detection apps. Info Technol People. 2021;4:156.