Enablers and Barriers of COVID-19 Vaccination in the Philippines
Abstract
1. Introduction
2. Materials and Methods
3. Results
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Abbreviations
COVID-19 | Coronavirus disease |
aOR | Adjusted odds ratio |
WHO | World Health Organization |
ASEAN | Association of South East Asian Nations |
DOH | Department of Health |
PHOC | Public Health Operations Center |
MIMAROPA | Mindoro, Marinduque, Romblon, and Palawan |
CHD | Centers for Health Development |
RHUs | Rural Health Units |
SAGE | Strategic Advisory Group of Experts |
LRT | Likelihood ratio test |
ORs | Odds ratio |
Cis | Confidence intervals |
UPMREB | University of the Philippines Manila Research Ethics Board |
LGUs | Local government units |
HCWs | Healthcare workers |
References
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n | % | |
---|---|---|
Age | ||
18–29 | 290 | 37.5 |
30–45 | 382 | 38.4 |
46–59 | 86 | 11.1 |
≥60 | 16 | 2.1 |
Sex | ||
Female | 752 | 97 |
Male | 20 | 2.6 |
Civil status | ||
Single | 25 | 3.2 |
Married | 371 | 47.9 |
Live-in | 327 | 42.2 |
Separated | 14 | 1.8 |
Widowed | 25 | 3.2 |
Unspecified | 13 | 1.7 |
Municipal Class | ||
First Class Municipality | 263 | 33.9 |
Second Class Municipality | 198 | 25.6 |
Third Class Municipality | 260 | 33.6 |
Fifth Class Municipality | 54 | 6.9 |
Religion | ||
Catholic | 649 | 83.7 |
Other Christian denominations | 110 | 14.2 |
Islam | 9 | 1.2 |
Others | 6 | 0.8 |
Educational attainment | ||
Elementary Level | 210 | 27.1 |
High School Level | 458 | 59.1 |
College Level | 107 | 13.8 |
Employment status | ||
Unemployed | 455 | 58.7 |
Student | 6 | 0.8 |
Pensioner | 5 | 0.6 |
Self-employed | 75 | 9.7 |
Employed | 233 | 30.1 |
n | % | |
---|---|---|
Unvaccinated | 189 | 24.4 |
Incomplete primary COVID-19 vaccine series | 26 | 3.3 |
Complete primary series | 443 | 57.2 |
Complete primary series with one booster dose | 79 | 10.2 |
Complete primary series with two booster doses | 38 | 4.9 |
Reasons for Vaccination Among Those Respondents Who Received at Least One Dose (n = 586) * | n | % |
---|---|---|
Protection of self, family, and community | 545 | 93 |
Influence of government-mandated regulations ** | 238 | 40.6 |
Recommendation of family, friends, neighbors, etc. | 35 | 6 |
Provision of incentives and rewards | 15 | 2.6 |
Requirement for giving birth | 2 | 0.3 |
Unspecified | 4 | 0.7 |
Reasons for non-vaccination among unvaccinated respondents (n = 189) * | n | % |
Distrust in vaccine safety/fear of side effects | 154 | 81.4 |
Lack of time | 15 | 7.9 |
Being pregnant | 14 | 7.4 |
Doubt in vaccine effectiveness | 10 | 5.3 |
Perception of COVID-19 vaccines being in experimental stage | 8 | 4.2 |
Influence of religion/culture | 7 | 3.7 |
Dislike of vaccine brand offered in the area | 6 | 3.2 |
Perception that COVID-19 is not severe | 4 | 2.1 |
Inaccessibility of vaccination sites | 2 | 1.1 |
Others *** | 6 | 3.2 |
Reasons for incomplete vaccination among respondents with incomplete primary vaccine series (n = 26) * | n | % |
Fear of side effects | 6 | 23.1 |
Low perceived need of vaccination | 3 | 1.2 |
Inaccessibility of vaccination sites | 3 | 1.2 |
Doubt in vaccine effectiveness | 3 | 1.2 |
Difficulty in arranging schedules/long queues | 2 | 0.8 |
Lack of time | 2 | 0.8 |
Doubt in the quality of vaccine | 1 | 0.0 |
Unvaccinated or Incomplete Primary Series (n = 215) | Complete Primary Series with or Without Boosters (n = 560) | Total (n = 775) | |
---|---|---|---|
DOH announcements | 100 (46.5%) | 404 (72.1%) | 504 (65%) |
Mass media outlets | 139 (64.7%) | 315 (56.3%) | 454 (58.6%) |
LGU/health center and healthcare workers | 69 (32.1%) | 288 (51.4%) | 357 (46.1%) |
Social media | 82 (38.1%) | 198 (35.4%) | 280 (36.1%) |
Online articles/pages of legitimate news outlets | 20 (9.3%) | 67 (12%) | 87 (11.2%) |
International agencies (e.g., WHO and CDC) | 13 (6.1%) | 54 (9.6%) | 67 (8.7%) |
Family and friends | 21 (9.8%) | 41 (7.3%) | 63 (8.1%) |
Own reading/research | 11 (5.1%) | 33 (5.9%) | 44 (5.7%) |
School | 10 (4.7%) | 22 (3.4%) | 32 (4.1%) |
Church and religious leaders | 10 (4.7%) | 17 (3%) | 27 (3.5%) |
Workplace | 2 (0.9%) | 11 (2%) | 13 (1.7%) |
Celebrities and influencers | 2 (0.9%) | 8 (1.4%) | 10 (1.3%) |
Tribal chief/leader | 3 (1.4%) | 5 (0.9%) | 1 (0.1%) |
Unspecified | 3 (1.4%) | 5 (0.9%) | 9 (1.2%) |
No information | 1 (0.5%) | 1 (0.2%) | 2 (0.3%) |
Sociodemographic Characteristics and Perceptions on COVID-19 Infection and COVID-19 Vaccination | n (%) † | Crude OR (95% CI) | Adjusted OR Final Model †† (95% CI) |
---|---|---|---|
Age | |||
18–29 | 290 (37.5) | 1.0 | 1.0 |
30–45 | 382 (38.4) | 2.37 (1.69–3.32) *** | 2.23 (1.49–3.35) *** |
46–59 | 86 (11.1) | 4.05 (2.11–7.79) *** | 2.84 (1.36–5.95) ** |
≥60 | 16 (2.1) | 1.97 (0.62–6.26) | 1.41 (0.33–6.06) |
Educational attainment | |||
Elementary level | 210 (27.1) | 1.0 | 1.0 |
High school level | 458 (59.1) | 2.27 (1.61–3.21) *** | 2.25 (1.47–3.43) *** |
College level | 107 (13.8) | 4.89 (2.62–9.13) *** | 4.93 (2.37–19.27) ** |
Employment status | |||
Unemployed | 455 (58.7) | 1.0 | 1.0 |
Student | 6 (0.8) | 2.51 (0.29–21.66) | 1.39 (0.12–15.81) |
Pensioner | 5 (0.6) | 0.75 (0.12–4.55) | 0.21 (0.03–1.80) |
Self-employed | 75 (9.7) | 1.48 (0.85–2.58) | 1.27 (0.64–2.46) |
Employed | 233 (30.1) | 2.35 (1.59–3.47) *** | 1.99 (1.24–3.19) ** |
Statements on COVID-19 infection and COVID-19 vaccination | |||
COVID-19 vaccines are safe. | |||
Neutral | 139 (17.9) | 1.0 | 1.0 |
Disagree | 75 (9.7) | 0.73 (0.41–1.28) | 0.93 (0.47–1.85) |
Agree | 554 (71.5) | 3.71 (2.50–5.51) *** | 1.92 (1.16–3.18) * |
Vaccines cannot protect me from severe COVID-19 disease. | |||
Neutral | 146 (18.8) | 1.0 | 1.0 |
Disagree | 485 (62.7) | 3.23 (2.19–4.78) *** | 2.23 (1.38–3.63) ** |
Agree | 132 (17.0) | 2.08 (1.27–3.41) ** | 1.58 (0.86–2.88) |
I am satisfied with COVID-19 vaccination efforts in my area. | |||
Neutral | 122 (15.7) | 1.0 | 1.0 |
Disagree | 82 (10.6) | 0.73 (0.42–1.28) | 1.34 (0.67–2.68) |
Agree | 565 (72.9) | 2.94 (1.95–4.40) *** | 2.39 (1.14–4.06) ** |
Vaccination should be required in schools and workplaces. | |||
Neutral | 154 (19.9) | 1.0 | 1.0 |
Disagree | 146 (18.8) | 0.28 (0.17–0.45) *** | 0.31 (0.18–0.55) *** |
Agree | 470 (60.7) | 1.78 (1.17–2.72) * | 1.10 (0.65–1.86) |
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Roxas, E.; Acacio-Claro, P.J.; Lota, M.M.; Abeleda, A.; Dalisay, S.N.; Landicho, M.; Fujimori, Y.; Rosuello, J.Z.; Kaufman, J.; Danchin, M.; et al. Enablers and Barriers of COVID-19 Vaccination in the Philippines. Vaccines 2025, 13, 719. https://doi.org/10.3390/vaccines13070719
Roxas E, Acacio-Claro PJ, Lota MM, Abeleda A, Dalisay SN, Landicho M, Fujimori Y, Rosuello JZ, Kaufman J, Danchin M, et al. Enablers and Barriers of COVID-19 Vaccination in the Philippines. Vaccines. 2025; 13(7):719. https://doi.org/10.3390/vaccines13070719
Chicago/Turabian StyleRoxas, Evalyn, Paulyn Jean Acacio-Claro, Maria Margarita Lota, Alvin Abeleda, Soledad Natalia Dalisay, Madilene Landicho, Yoshiki Fujimori, Jan Zarlyn Rosuello, Jessica Kaufman, Margaret Danchin, and et al. 2025. "Enablers and Barriers of COVID-19 Vaccination in the Philippines" Vaccines 13, no. 7: 719. https://doi.org/10.3390/vaccines13070719
APA StyleRoxas, E., Acacio-Claro, P. J., Lota, M. M., Abeleda, A., Dalisay, S. N., Landicho, M., Fujimori, Y., Rosuello, J. Z., Kaufman, J., Danchin, M., Belizario, V., Jr., & Vogt, F. (2025). Enablers and Barriers of COVID-19 Vaccination in the Philippines. Vaccines, 13(7), 719. https://doi.org/10.3390/vaccines13070719