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Using an extended protection motivation theory to explain vaccine hesitancy: a cross-sectional study among Chinese adults.
Hum Vaccin Immunother. 2022 12 31; 18(1):2026136.HV

Abstract

BACKGROUND

Vaccine hesitancy was listed as one of the top 10 issues threatening global health in 2019. The objectives of this study were to (a) use an extended protection motivation theory (PMT) with an added trust component to identify predictors of vaccine hesitancy and (b) explore the predictive ability of vaccine hesitancy on vaccination behavior.

METHODS

We conducted an online questionnaire from February 9 to April 9, 2021, in China. The target population was Chinese residents aged 18 and over. A total of 14,236 responses were received. Structural equation modeling was used to test the extended PMT model hypotheses.

RESULTS

A total of 10,379 participants were finally included in this study, of whom 52.0% showed hesitancy toward vaccination. 2854 (27.5%) participants reported that they got flu shots in the past year, and 2561 (24.7%) participants were vaccinated against COVID-19. 2857 (27.5%) participants engaged in healthcare occupation. The model explained 85.7% variance of vaccine hesitancy. Self-efficacy was the strongest predictor, negatively associated with vaccine hesitancy (β = -0.584; p < .001). Response efficacy had a negative effect on vaccine hesitancy (β = -0.372; p < .001), while threat appraisal showed a positive effect (β = 0.104; p < .001). Compared with non-health workers, health workers showed more vaccine hesitancy, and response efficacy was the strongest predictor (β = -0.560; p < .001). Vaccine hesitancy had a negative effect on vaccination behavior (β = -0.483; p < .001), and the model explained 23.4% variance of vaccination behavior.

CONCLUSIONS

This study demonstrates that the extended PMT model is efficient in explaining vaccine hesitancy. However, the predictive ability of vaccine hesitancy on vaccination behavior is limited.

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Authors+Show Affiliations

Liu M
Key Laboratory of Environmental Medicine Engineering, Ministry of Education School of Public Health Southeast University Nanjing, PR China. Department of Epidemiology and Health Statistics, School of Public Health, Southeast University Nanjing, PR China.
Cui T
Key Laboratory of Environmental Medicine Engineering, Ministry of Education School of Public Health Southeast University Nanjing, PR China. Department of Epidemiology and Health Statistics, School of Public Health, Southeast University Nanjing, PR China.
Wang Q
Key Laboratory of Environmental Medicine Engineering, Ministry of Education School of Public Health Southeast University Nanjing, PR China. Department of Epidemiology and Health Statistics, School of Public Health, Southeast University Nanjing, PR China.
Han Y
Key Laboratory of Environmental Medicine Engineering, Ministry of Education School of Public Health Southeast University Nanjing, PR China. Department of Epidemiology and Health Statistics, School of Public Health, Southeast University Nanjing, PR China.
Han Y
Key Laboratory of Environmental Medicine Engineering, Ministry of Education School of Public Health Southeast University Nanjing, PR China. Department of Epidemiology and Health Statistics, School of Public Health, Southeast University Nanjing, PR China.
Yang L
Key Laboratory of Environmental Medicine Engineering, Ministry of Education School of Public Health Southeast University Nanjing, PR China. Department of Epidemiology and Health Statistics, School of Public Health, Southeast University Nanjing, PR China.
Shi N
Key Laboratory of Environmental Medicine Engineering, Ministry of Education School of Public Health Southeast University Nanjing, PR China. Department of Epidemiology and Health Statistics, School of Public Health, Southeast University Nanjing, PR China.
Yi Y
Key Laboratory of Environmental Medicine Engineering, Ministry of Education School of Public Health Southeast University Nanjing, PR China. Department of Epidemiology and Health Statistics, School of Public Health, Southeast University Nanjing, PR China.
Jin H
Key Laboratory of Environmental Medicine Engineering, Ministry of Education School of Public Health Southeast University Nanjing, PR China. Department of Epidemiology and Health Statistics, School of Public Health, Southeast University Nanjing, PR China.

MeSH

AdolescentAdultCOVID-19COVID-19 VaccinesChinaCross-Sectional StudiesHumansMotivationSARS-CoV-2VaccinationVaccination Hesitancy

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

35103578

Citation

Liu, Minqi, et al. "Using an Extended Protection Motivation Theory to Explain Vaccine Hesitancy: a Cross-sectional Study Among Chinese Adults." Human Vaccines & Immunotherapeutics, vol. 18, no. 1, 2022, p. 2026136.
Liu M, Cui T, Wang Q, et al. Using an extended protection motivation theory to explain vaccine hesitancy: a cross-sectional study among Chinese adults. Hum Vaccin Immunother. 2022;18(1):2026136.
Liu, M., Cui, T., Wang, Q., Han, Y., Han, Y., Yang, L., Shi, N., Yi, Y., & Jin, H. (2022). Using an extended protection motivation theory to explain vaccine hesitancy: a cross-sectional study among Chinese adults. Human Vaccines & Immunotherapeutics, 18(1), 2026136. https://doi.org/10.1080/21645515.2022.2026136
Liu M, et al. Using an Extended Protection Motivation Theory to Explain Vaccine Hesitancy: a Cross-sectional Study Among Chinese Adults. Hum Vaccin Immunother. 2022 12 31;18(1):2026136. PubMed PMID: 35103578.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Using an extended protection motivation theory to explain vaccine hesitancy: a cross-sectional study among Chinese adults. AU - Liu,Minqi, AU - Cui,Tingting, AU - Wang,Qiang, AU - Han,Ying, AU - Han,Yue, AU - Yang,Liuqing, AU - Shi,Naiyang, AU - Yi,Youqin, AU - Jin,Hui, Y1 - 2022/02/01/ PY - 2022/2/2/pubmed PY - 2022/4/9/medline PY - 2022/2/1/entrez KW - Vaccine hesitancy KW - adults KW - behavior KW - protection motivation theory SP - 2026136 EP - 2026136 JF - Human vaccines & immunotherapeutics JO - Hum Vaccin Immunother VL - 18 IS - 1 N2 - BACKGROUND: Vaccine hesitancy was listed as one of the top 10 issues threatening global health in 2019. The objectives of this study were to (a) use an extended protection motivation theory (PMT) with an added trust component to identify predictors of vaccine hesitancy and (b) explore the predictive ability of vaccine hesitancy on vaccination behavior. METHODS: We conducted an online questionnaire from February 9 to April 9, 2021, in China. The target population was Chinese residents aged 18 and over. A total of 14,236 responses were received. Structural equation modeling was used to test the extended PMT model hypotheses. RESULTS: A total of 10,379 participants were finally included in this study, of whom 52.0% showed hesitancy toward vaccination. 2854 (27.5%) participants reported that they got flu shots in the past year, and 2561 (24.7%) participants were vaccinated against COVID-19. 2857 (27.5%) participants engaged in healthcare occupation. The model explained 85.7% variance of vaccine hesitancy. Self-efficacy was the strongest predictor, negatively associated with vaccine hesitancy (β = -0.584; p < .001). Response efficacy had a negative effect on vaccine hesitancy (β = -0.372; p < .001), while threat appraisal showed a positive effect (β = 0.104; p < .001). Compared with non-health workers, health workers showed more vaccine hesitancy, and response efficacy was the strongest predictor (β = -0.560; p < .001). Vaccine hesitancy had a negative effect on vaccination behavior (β = -0.483; p < .001), and the model explained 23.4% variance of vaccination behavior. CONCLUSIONS: This study demonstrates that the extended PMT model is efficient in explaining vaccine hesitancy. However, the predictive ability of vaccine hesitancy on vaccination behavior is limited. SN - 2164-554X UR - https://www.unboundmedicine.com/medline/citation/35103578/Using_an_extended_protection_motivation_theory_to_explain_vaccine_hesitancy:_a_cross_sectional_study_among_Chinese_adults_ DB - PRIME DP - Unbound Medicine ER -