Toward Multidimensional Message Tailoring to Address COVID-19 and Influenza Vaccine-Hesitancy: A Latent Profile Analysis Approach

References

• Akaike, H. (1987). Factor analysis and AIC. Psychometrika, 52(3), 317–332. https://doi.org/10.1007/BF02294359
   Web of Science ®Google Scholar
• Albarracin, D., & Glasman, L. (2016). Multidimensional targeting for tailoring: A comment on Ogden (2016). Health Psychology Review, 10(3), 251–255. https://doi.org/10.1080/17437199.2016.1190294
   PubMed Web of Science ®Google Scholar
• Amin, A. B., Bednarczyk, R. A., Ray, C. E., Melchiori, K. J., Graham, G., Huntsinger, J. R., & Omer, S. B. (2017). Associations of moral values with vaccine hesitancy. Nature Human Behavior, 1(12), 873–880. https://doi.org/10.1038/s41562-017-0256-5
   PubMed Web of Science ®Google Scholar
• Annenberg Public Policy Center. (2023). The flu vaccination rate holds steady but misinformation about flu and COVID persists. https://www.annenbergpublicpolicycenter.org/flu-vaccination-rate-holds-steady-but-misinformation-about-flu-and-covid-persists/
   Google Scholar
• Atkin, C. K., & Salmon, C. T. (2013). Persuasive strategies in health campaign. In J. P. Dillard & L. Shen (Eds.), The handbook of persuasion: Development in theory and practice (2nd ed., pp. 278–295). Sage.
   Google Scholar
• Banfield, J. D., & Raftery, A. E. (1993). Model-based Gaussian and non-Gaussian clustering. Biometrics Bulletin, 49(3), 803–821. https://doi.org/10.2307/2532201
   Google Scholar
• Batteux, E., Mills, F., Jones, L. F., Symons, C., & Weston, D. (2022). The effectiveness of interventions for increasing COVID-19 vaccine uptake: A systematic review. Vaccines (Basel), 10(3), 386. https://doi.org/10.3390/vaccines10030386
   PubMed Web of Science ®Google Scholar
• Bean, S. J. (2011). Emerging and continuing trends in vaccine opposition website content. Vaccine, 29(10), 1874–1880. https://doi.org/10.1016/j.vaccine.2011.01.003
   PubMed Web of Science ®Google Scholar
• Bollen, K., & Diamantopoulos, A. (2017). In defense of causal-formative indicators: A minority report. Psychological Methods, 22(3), 581–596. https://doi.org/10.1037/met0000056
   PubMed Web of Science ®Google Scholar
• Bussink-Voorend, D., Hautvast, J. L. A., Vandeberg, L., Visser, O., & Hulscher, M. E. J. L. (2022). A systematic literature review to clarify the concept of vaccine hesitancy. Nature Human Behavior, 6(12), 1634–1648. https://doi.org/10.1038/s41562-022-01431-6
   PubMed Web of Science ®Google Scholar
• Centers for Disease Control and Prevention. (2023, February 28). COVID-19 vaccinations in the United States. https://covid.cdc.gov/covid-data-tracker/#vaccinations_vacc-total-admin-rate-total
   Google Scholar
• Chou, W. Y. S., & Budenz, A. (2020). Considering emotion in COVID-19 vaccine communication: Addressing vaccine hesitancy and fostering vaccine confidence. Health Communication, 35(14), 1718–1722. https://doi.org/10.1080/10410236.2020.1838096
   PubMed Web of Science ®Google Scholar
• Clark, S. L., & Muthén, B. (2009). Relating latent class analysis results to variables not included in the analysis. https://www.statmodel.com/download/relatinglca.pdf
   Google Scholar
• Davis, C. J., Golding, M., & McKay, R. (2022). Efficacy information influences intention to take COVID-19 vaccine. British Journal of Health Psychology, 27(2), 300–319. https://doi.org/10.1111/bjhp.12546
   PubMed Web of Science ®Google Scholar
• Dhanani, L. Y., & Franz, B. (2022). A meta-analysis of COVID-19 vaccine attitudes and demographic characteristics in the United States. Public Health, 207, 31–38. https://doi.org/10.1016/j.puhe.2022.03.012
   PubMed Web of Science ®Google Scholar
• Dillard, J. P., & Shen, L. (2018). Threat appeals as multi-emotion messages: An argument structure model of fear and disgust. Human Communication Research, 44(2), 103–126. https://doi.org/10.1093/hcr/hqx002
   Web of Science ®Google Scholar
• Dubé, E., Gagnon, D., Nickels, E., Jeram, S., & Schuster, M. (2014). Mapping vaccine hesitancy—Country-specific characteristics of a global phenomenon. Vaccine, 32(49), 6649–6654. https://doi.org/10.1016/j.vaccine.2014.09.039
   PubMed Web of Science ®Google Scholar
• Dubé, E., Laberge, C., Guay, M., Bramadat, P., Roy, R., & Bettinger, J. A. (2013). Vaccine hesitancy: An overview. Human Vaccines & Immunotherapeutics, 9(8), 1763–1773. https://doi.org/10.4161/hv.24657
   PubMed Web of Science ®Google Scholar
• Ferguson, S. L., Moore, E. W. G., & Hull, D. M. (2020). Finding latent groups in observed data: A primer on latent profile analysis in Mplus for applied researchers. International Journal of Behavioral Development, 44(5), 458–468. https://doi.org/10.1177/0165025419881721
   Web of Science ®Google Scholar
• Fishbein, M., & Ajzen, I. (2010). Predicting and changing behavior: The reasoned action approach. Psychology Press.
   Google Scholar
• Grunig, J. E. (1989). Publics, audiences and market segments: Segmentation principles for campaigns. In C. T. Salmon (Ed.), Information campaigns: Balancing social values and social change (pp. 199–228). Sage.
   Google Scholar
• Hornik, R., & Woolf, K. (1999). Using cross-sectional surveys to plan message strategies. Social Marketing Quarterly, 5(2), 34–41. https://doi.org/10.1080/15245004.1999.9961044
   Google Scholar
• Izikson, R., Brune, D., Bolduc, J., Bourron, P., Founier, M., Moore, T. M., Pandey, A., Perez, L., Sater, N., Shrestha, A., Wague, S., & Samson, S. (2022). Safety and immunogenicity of a high-dose quadrivalent influenza vaccine administered concomitantly with a third dose of the mRNA-1273 SARS-CoV-2 vaccine in adults aged ≥65 years: A phase 2, randomised, open-label study. The Lancet Respiratory Medicine, 10(4), 392–402. https://doi.org/10.1016/S2213-2600(21)00557-9
   PubMed Web of Science ®Google Scholar
• John, S. D. (2022). How long can you go? Justified hesitancy and ethics of childhood vaccination against COVID-19. Journal of Medical Ethics, 48(12), 1006–1009. https://doi.org/10.1136/medethics-2021-108097
   PubMed Web of Science ®Google Scholar
• Kline, B. (2016). Principles and practices of structural equation modeling (4th ed.). Guilford.
   Google Scholar
• Krawietz, C., & Pett, R. C. (2023). A systematic literature review of latent variable mixture modeling in communication scholarship. Communication Methods & Measures, 17(2), 83–110. https://doi.org/10.1080/19312458.2023.2179612
   Web of Science ®Google Scholar
• Kusurkar, R. A., Mak van der Vossen, M., Kors, J., Grijpma, J.-W., Van der Burgt, S. M. E., Koster, A. S., & De la Croix, A. (2021). ‘One size does not fit all’: The value of person-centred analysis in health professions education research. Perspectives on Medical Education, 10(4), 245–251. https://doi.org/10.1007/s40037-020-00633-w
   PubMed Web of Science ®Google Scholar
• Larson, H. J., Gakidou, E., Murray, C. J. L., & Longo, D. L. (2022). The vaccine-hesitant moment. The New England Journal of Medicine, 387(1), 58–65. https://doi.org/10.1056/NEJMra2106441
   PubMed Web of Science ®Google Scholar
• Lennon, R., Block, R., Schneider, E., Zephrin, L., & Shah, A. (2022). Underserved population acceptance of combination of influenza-COVID-19 booster vaccines. Vaccine, 40(4), 562–567. https://doi.org/10.1016/j.vaccine.2021.11.097
   PubMed Web of Science ®Google Scholar
• MacDonald, N. E. (2015). Vaccine hesitancy: Definition, scope, and determinants. Vaccine, 33(34), 4161–4164. https://doi.org/10.1016/j.vaccine.2015.04.036
   PubMed Web of Science ®Google Scholar
• McEachan, R., Taylor, N., Harrison, R., Lawton, R., Gardner, P., & Conner, M. (2016). Meta-analysis of the reasoned action approach (RAA) to understanding health behaviors. Annals of Behavioral Medicine, 50(4), 592–612. https://doi.org/10.1007/s12160-016-9798-4
   PubMed Web of Science ®Google Scholar
• McLachlan, G. J., & Peel, D. (2000). Finite mixture models. Wiley.
   Google Scholar
• Montano, D. E., & Kasprzyk, D. (2015). Theory of reasoned action, theory of planned behavior, and the integrated behavioral model. In K. Glanz, B. K. Rimer, & K. Viswanath (Eds.), Health behavior: Theory, research, and practice (pp. 95–124). Jossey-Bass.
   Google Scholar
• Monto, A. S. (2021). The future of SARS-CoV-2 vaccination—Lessons from influenza. The New England Journal of Medicine, 385(20), 1825–1827. https://doi.org/10.1056/NEJMp2113403
   PubMed Web of Science ®Google Scholar
• Morin, A. J. S., Meyer, J. P., Creusier, J., & Bietry, F. (2016). Multiple-group analysis of similarity in latent profile analysis. Organizational Research Methods, 19(2), 231–254. https://doi.org/10.1177/1094428115621148
   Web of Science ®Google Scholar
• Nan, X., Wang, Y., Their, K., Adebamowo, C., Quinn, S., & Ntiri, S. (2022). Moral foundations predict COVID-19 vaccine hesitancy: Evidence from a national survey of Black Americans. Journal of Health Communication, 27(11–12), 801–811. https://doi.org/10.1080/10810730.2022.2160526
   PubMed Web of Science ®Google Scholar
• Nature. (2022, December 23). Editorial: There’s no room for COVID complacency in 2023. https://doi.org/10.1038/d41586-022-04476-9
   Google Scholar
• Noar, S. M., Harrington, N. G., & Aldrich, R. S. (2009). The role of message tailoring in the development of persuasive health communication messages. Annals of the International Communication Association, 33(1), 73–133. https://doi.org/10.1080/23808985.2009.11679085
   Google Scholar
• Nylund-Gibson, K., Garber, A. C., Singh, J., Witkow, M. R., Nishina, A., & Bellmore, A. (2023). The utility of latent class analysis to understand heterogeneity in youth coping strategies: A methodological introduction. Behavioral Disorders, 48(2), 106–120. https://doi.org/10.1177/01987429211067214
   Web of Science ®Google Scholar
• Ofri, D. (2009). The emotional epidemiology of H1N1 influenza vaccination. New England Journal of Medicine, 361(27), 2594–2595. https://doi.org/10.1056/nejmp0911047
   PubMedGoogle Scholar
• Ofri, D. (2022). Covid vaccination: The last mile. https://danielleofri.com/covid-vaccination-last-mile/
   Google Scholar
• Ogden, J. (2016). Celebrating variability and a call to limit systematization: The example of the behavior change technique taxonomy and the behavior change wheel. Health Psychology Review, 10(3), 245–250. https://doi.org/10.1080/17437199.2016.1190291
   PubMed Web of Science ®Google Scholar
• Olivera-Aguilar, M., & Rikoon, S. H. (2017). Assessing measurement invariance in multiple-group latent profile analysis. Structural Equation Modeling, 25(3), 439–452. https://doi.org/10.1080/10705511.2017.1408015
   Google Scholar
• Rao, S., Fischman, V., Kaplan, D. W., Wilson, K. M., & Hyman, D. (2018). Evaluating interventions to increase influenza vaccination rates among pediatric inpatients. Pediatric Quality and Safety, 3(5), e102. https://doi.org/10.1097/pq9.0000000000000102
   PubMedGoogle Scholar
• Rimer, B. K., & Kreuter, M. W. (2006). Advancing tailored health communication: A persuasion and message effects perspective. Journal of Communication, 56(s1), S184–S201. https://doi.org/10.1111/j.1460-2466.2006.00289.x
   Web of Science ®Google Scholar
• Rogers, R. W., & Prentice-Dunn, S. (1997). Protection motivation theory. In D. S. Gochman (Ed.), Handbook of health behavior research 1: Personal and social determinants (pp. 113–132). Plenum Press.
   Google Scholar
• Salmon, D. A., Dudley, M. Z., Glanz, J. M., & Omer, S. B. (2015). Vaccine hesitancy: Causes, consequences, and a call to action. American Journal of Preventive Medicine, 49(6 Suppl 4), S391–398. https://doi.org/10.1016/j.amepre.2015.06.009
   PubMed Web of Science ®Google Scholar
• Sclove, S. L. (1987). Application of model-selection criteria to some problems in multivariate analysis. Psychometrika, 52(3), 333–343. https://doi.org/10.1007/BF02294360
   Web of Science ®Google Scholar
• Shen, L., & Zhou, Y. (2021). Epistemic egocentrism and processing of vaccine misinformation (vis-à-vis scientific evidence): The case of vaccine-autism link. Health Communication, 36(11), 1405–1416. https://doi.org/10.1080/10410236.2020.1761074
   PubMedGoogle Scholar
• Tomljenovic, H., Bubic, A., & Erceg, N. (2020). It just doesn’t feel right–the relevance of emotions and intuition for parental vaccine conspiracy beliefs and vaccination uptake. Psychology & Health, 35(5), 538–554. https://doi.org/10.1080/08870446.2019.1673894
   PubMed Web of Science ®Google Scholar
• Townsend, J. P., Hassler, H., & Dornburg, A. (2023). Infection by SARS-CoV-2 with alternate frequencies of mRNA vaccine boosting. Journal of Medical Virology, 95(2), e28461. https://doi.org/10.1002/jmv.28461
   PubMed Web of Science ®Google Scholar
• Verger, P., & Dubé, E. (2020). Restoring confidence in vaccines in the COVID-19 era. Expert Review of Vaccines, 19(11), 991–993. https://doi.org/10.1080/14760584.2020.1825945
   PubMed Web of Science ®Google Scholar
• Weller, B. E., Bowen, N. K., & Faubert, S. J. (2020). Latent class analysis: A guide to best practice. Journal of Black Psychology, 46(4), 263–343. https://doi.org/10.1177/0095798420930932
   Web of Science ®Google Scholar
• Witte, K. (1994). Fear control and danger control: A test of the extended parallel process model (EPPM). Communication Monographs, 61(2), 113–134. https://psycnet.apa.org/doi/10.1080/03637759409376328
   Web of Science ®Google Scholar
• Yale Institute of Global Health. (2020). Vaccine message guide. https://medicine.yale.edu/yigh/resources/Covid-19_Guide_v3_416091_40906_v1.pdf
   Google Scholar
• Yzer, M. (2012). The integrative model of behavior prediction as a tool for designing health messages. In H. Cho (Ed.), Designing messages for health campaigns: Theory and practice (pp. 21–40). Sage.
   Google Scholar
• Zhou, Y., Li, R., & Shen, L. (2023a). Psychological profiles of COVID vaccine-hesitant individuals and implications for vaccine message design strategies. Vaccine: X, 13, 100279. https://doi.org/10.1016/j.jvacx.2023.100279
   PubMedGoogle Scholar
• Zhou, Y., Li, R., & Shen, L. (2023b). Targeting COVID-19 vaccine-hesitancy in college students: An audience-centered approach. Journal of American College Health, 1–10. https://doi.org/10.1080/07448481.2023.2180988
   Google Scholar