Predicting Vaccination Intention against COVID-19 Using Theory of Planned Behavior: A Systematic Review and Meta-Analysis
This study systematically analyzed the literature using the theory of planned behavior (TPB) as a theoretical framework to examine the influence of its constructs on vaccination intention against COVID-19. Quantitative studies were searched in PubMed, CINAHL, Web of Science, and Google Scholar follo...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-11-01
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| Series: | Vaccines |
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| Online Access: | https://www.mdpi.com/2076-393X/10/12/2026 |
| _version_ | 1827636622730985472 |
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| author | Yam B. Limbu Rajesh K. Gautam Wencang Zhou |
| author_facet | Yam B. Limbu Rajesh K. Gautam Wencang Zhou |
| author_sort | Yam B. Limbu |
| collection | DOAJ |
| description | This study systematically analyzed the literature using the theory of planned behavior (TPB) as a theoretical framework to examine the influence of its constructs on vaccination intention against COVID-19. Quantitative studies were searched in PubMed, CINAHL, Web of Science, and Google Scholar following the PRISMA guidelines. The average rate of COVID-19 vaccination intention was 73.19%, ranging from 31% to 88.86%. Attitude had the strongest association with vaccination intention (<i>r<sub>+</sub></i> = 0.487, 95% CI: 0.368–0.590), followed by subjective norms (<i>r<sub>+</sub></i> = 0.409, 95% CI: 0.300–0.507), and perceived behavioral control (<i>r<sub>+</sub></i> = 0.286, 95% CI: 0.198–0.369). Subgroup analyses showed that the pooled effect sizes of TPB constructs on vaccination intention varied across geographic regions and study populations. Attitude had large effect sizes in Asia, Europe, and Oceania, especially among the adult general population, parents, and patients. Subjective norms had large effect sizes in Asia and Oceania, especially among parents and patients. Perceived behavioral control was the most dominant predictor of vaccination acceptance in Africa among patients. These findings suggest that TPB provides a useful framework for predicting intention to receive a COVID-19 vaccine. Hence, public awareness and educational programs aimed at promoting COVID-19 vaccination intention should consider using TPB as a framework to achieve the goal. |
| first_indexed | 2024-03-09T15:45:22Z |
| format | Article |
| id | doaj.art-0c00f9a1bc2747a294a82a96d6f7e97a |
| institution | Directory Open Access Journal |
| issn | 2076-393X |
| language | English |
| last_indexed | 2024-03-09T15:45:22Z |
| publishDate | 2022-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Vaccines |
| spelling | doaj.art-0c00f9a1bc2747a294a82a96d6f7e97a2023-11-24T18:31:23ZengMDPI AGVaccines2076-393X2022-11-011012202610.3390/vaccines10122026Predicting Vaccination Intention against COVID-19 Using Theory of Planned Behavior: A Systematic Review and Meta-AnalysisYam B. Limbu0Rajesh K. Gautam1Wencang Zhou2Feliciano School of Business, Montclair State University, 1 Normal Ave., Montclair, NJ 07043, USADepartment of Anthropology, Dr. Harisingh Gour Central University, University Road, Sagar 470003, MP, IndiaFeliciano School of Business, Montclair State University, 1 Normal Ave., Montclair, NJ 07043, USAThis study systematically analyzed the literature using the theory of planned behavior (TPB) as a theoretical framework to examine the influence of its constructs on vaccination intention against COVID-19. Quantitative studies were searched in PubMed, CINAHL, Web of Science, and Google Scholar following the PRISMA guidelines. The average rate of COVID-19 vaccination intention was 73.19%, ranging from 31% to 88.86%. Attitude had the strongest association with vaccination intention (<i>r<sub>+</sub></i> = 0.487, 95% CI: 0.368–0.590), followed by subjective norms (<i>r<sub>+</sub></i> = 0.409, 95% CI: 0.300–0.507), and perceived behavioral control (<i>r<sub>+</sub></i> = 0.286, 95% CI: 0.198–0.369). Subgroup analyses showed that the pooled effect sizes of TPB constructs on vaccination intention varied across geographic regions and study populations. Attitude had large effect sizes in Asia, Europe, and Oceania, especially among the adult general population, parents, and patients. Subjective norms had large effect sizes in Asia and Oceania, especially among parents and patients. Perceived behavioral control was the most dominant predictor of vaccination acceptance in Africa among patients. These findings suggest that TPB provides a useful framework for predicting intention to receive a COVID-19 vaccine. Hence, public awareness and educational programs aimed at promoting COVID-19 vaccination intention should consider using TPB as a framework to achieve the goal.https://www.mdpi.com/2076-393X/10/12/2026vaccination intentionCOVID-19theory of planned behaviorattitudesubjective normsperceived behavioral control |
| spellingShingle | Yam B. Limbu Rajesh K. Gautam Wencang Zhou Predicting Vaccination Intention against COVID-19 Using Theory of Planned Behavior: A Systematic Review and Meta-Analysis Vaccines vaccination intention COVID-19 theory of planned behavior attitude subjective norms perceived behavioral control |
| title | Predicting Vaccination Intention against COVID-19 Using Theory of Planned Behavior: A Systematic Review and Meta-Analysis |
| title_full | Predicting Vaccination Intention against COVID-19 Using Theory of Planned Behavior: A Systematic Review and Meta-Analysis |
| title_fullStr | Predicting Vaccination Intention against COVID-19 Using Theory of Planned Behavior: A Systematic Review and Meta-Analysis |
| title_full_unstemmed | Predicting Vaccination Intention against COVID-19 Using Theory of Planned Behavior: A Systematic Review and Meta-Analysis |
| title_short | Predicting Vaccination Intention against COVID-19 Using Theory of Planned Behavior: A Systematic Review and Meta-Analysis |
| title_sort | predicting vaccination intention against covid 19 using theory of planned behavior a systematic review and meta analysis |
| topic | vaccination intention COVID-19 theory of planned behavior attitude subjective norms perceived behavioral control |
| url | https://www.mdpi.com/2076-393X/10/12/2026 |
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