Research Trends and Gaps in Human Papillomavirus Vaccination Intention in South Korea: A Scoping Review
Abstract
1. Introduction
- What are the general characteristics and trends of studies on HPV vaccination intention in South Korea? (Descriptive Mapping)
- What are the key individual and social/structural determinants of HPV vaccination intention, and how do they differ across diverse population? (Analytical Comparison)
- To what extent have researchers of existing studies utilized theoretical frameworks, and what are the limitations of these models in explaining emerging public health factors? (Thematic Synthesis)
2. Materials and Methods
2.1. Study Design
2.2. Stage 1: Identifying the Research Question
- (1)
- What are the characteristics of studies on HPV vaccination intentions in Korea?
- (2)
- What patterns can be observed when the key determinants of HPV vaccination intention are classified into individual-and social/structural-level factors?
- (3)
- What are the differences in the determinants between the direct and indirect groups, and what are the implications of these differences for public health policy?
2.3. Stage 2: Identifying Relevant Studies
2.3.1. Literature Search Process
2.3.2. Study Selection and Exclusion Criteria
2.4. Stage 3: Study Selection
2.5. Stage 4: Charting the Data
2.6. Stage 5: Collating, Summarizing, and Reporting the Results
3. Results
3.1. General Characteristics
3.2. Factors Influencing HPV Vaccination Intention
3.3. Comparison of Influencing Factors on HPV Vaccination Intention Between Direct and Indirect Target Groups
4. Discussion
4.1. Population-Based Public Health Research: Expanding Direct Recipient Studies
4.2. Sex-Inclusive Vaccination Policy: Expanding Research on Males
4.3. Beyond Traditional Behavioral Models: Emerging Public Health Determinants
4.4. Consideration of Distinct Patterns of Influencing Factors Between the Direct Group and the Indirect Group
Strengths and Limitations
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Abbreviations
| HBM | Health Belief Model |
| HPV | Human papillomavirus |
| JBI | Joanna Briggs Institute |
| KISS | Korean Studies Information Service System |
| NDSL | National Digital Science Library |
| NIP | National Immunization Program |
| PCC | Population, Concept, Context |
| RISS | Research Information Sharing Service |
| TPB | Theory of Planned Behavior |
| WHO | World Health Organization |
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| Category | Definition | Included Variables | Theoretical Rationale |
|---|---|---|---|
| Individual Factors | Psychological characteristics based on individual beliefs and perceptions. | Attitude, Knowledge Perceived benefits Perceived barriers, Perceived susceptibility Perceived severity Self-efficacy, Perceived behavioral control | Aligned with core constructs of TPB and HBM. |
| Social/Structural Factors | Factors reflecting social expectations, environment, and policy-related constraints. | Subjective norms Cues to action Age Sex Socioeconomic status | Reflects social norms and NIP policy eligibility in Korea. |
| Variables | Categories | N (%) | |
|---|---|---|---|
| Published year | >2015 | 9 (25.0) | |
| 2016~2020 | 16 (44.4) | ||
| 2020~< | 11 (30.6) | ||
| Study design | Quantitative | 36 (100) | |
| Qualitative | 0 (0) | ||
| Participant group | Direct target group | 22 (61.1) | |
| Indirect target group | 14 (38.9) | ||
| Target population (years) | Direct (n =22) | Adolescents (<19) | 4 (11.1) |
| Adult (≥19) | 16 (44.4) | ||
| Adolescents + Adult | 2 (5.6) | ||
| Indirect (n = 14) | Elementary school (7~12) | 6 (16.7) | |
| Middle school (13~15) | 3 (8.3) | ||
| High school (16~18) | 0 (0) | ||
| Elementary to high school (7~18) | 5 (13.9) | ||
| Sex | Direct (n = 22) | Male | 4 (11.1) |
| Female | 10 (27.8) | ||
| Male + Female | 8 (22.2) | ||
| Indirect (n = 14) | Male (son) | 2 (5.6) | |
| Female (daughter) | 8 (22.2) | ||
| Male + Female | 4 (11.1) | ||
| Theory | Theory of Planned Behavior | 13 (36.1) | |
| Health Belief Model | 6 (16.7) | ||
| None | 17 (47.2) | ||
| Category | Factor | n (%) | Study Number |
|---|---|---|---|
| Individual factor | Attitude | 17 (47.2) | 1, 7, 8, 14, 15, 16, 17, 18, 19, 20, 23, 26, 27, 29, 30, 34, 36 |
| Perceived behavior control | 11 (30.9) | 6, 7, 8, 16, 17, 18, 20, 23, 30, 34, 36 | |
| Knowledge | 10 (27.8) | 2, 4, 9, 10, 11, 13, 24, 27, 28, 31 | |
| Perceived benefits | 8 (22.2) | 1, 5, 13, 15, 21, 28, 33, 35 | |
| Self-efficacy | 7 (19.4) | 1, 19, 23, 25, 27, 28, 32 | |
| Perceived barriers | 6 (16.7) | 5, 15, 21, 28, 31, 35 | |
| Perceived susceptibility | 4 (11.1) | 10, 14, 33, 35 | |
| Perceived severity | 4 (11.1) | 1, 13, 33, 35 | |
| Socio-Structural factor | Subjective norm | 14 (38.9) | 6, 7, 8, 16, 17, 18, 19, 20, 23, 25, 27, 30, 32, 36 |
| Age | 6 (16.7) | 1, 2, 3, 4, 8, 19 | |
| Sex | 4 (11.1) | 19, 24, 33, 36 | |
| Socioeconomic state | 3 (8.3) | 1, 4, 10 | |
| Cue to action | 1 (2.8) | 28 |
| Direct Group | Indirect Group | ||||
|---|---|---|---|---|---|
| Factor | N (%) | Study Number | Factor | N (%) | Study Number |
| Attitude | 10 (27.8) | 1, 14, 15, 17, 19, 26, 29, 30, 34, 36 | Subjective norm | 9 (25.0) | 7, 8, 16, 18, 20, 23, 25, 27, 32 |
| Knowledge | 6 (16.7) | 2, 4, 9, 13, 24, 31 | Attitude | 6 (16.7) | 7, 8, 16, 18, 20, 23 |
| Subjective norm | 5 (13.9) | 6, 17, 19, 30, 36 | Perceived behavior control | 6 (16.7) | 7, 8, 16, 18, 20, 23 |
| Perceived behavior control | 5 (13.9) | 6, 17, 30, 34, 36 | Perceived benefits | 3 (8.3) | 5, 21, 35 |
| Perceived benefits | 5 (13.9) | 1, 13, 15, 28, 33 | Perceived barriers | 3 (8.3) | 5, 21, 35 |
| Perceived susceptibility | 3 (8.3) | 14, 28, 33 | Self-efficacy | 3 (8.3) | 23, 25, 32 |
| Perceived severity | 3 (8.3) | 1, 13, 33 | Perceived susceptibility | 2 (5.6) | 10, 35 |
| Perceived barriers | 3 (8.3) | 15, 28, 31 | Knowledge | 2 (5.6) | 10, 11 |
| Self-efficacy | 3 (8.3) | 1, 19, 28 | Perceived severity | 1 (2.8) | 35 |
| Cue to action | 1 (2.8) | 28 | Cue to action | 0 (0.0) | |
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Bark, J.; Kim, H.; Seo, S. Research Trends and Gaps in Human Papillomavirus Vaccination Intention in South Korea: A Scoping Review. Healthcare 2026, 14, 355. https://doi.org/10.3390/healthcare14030355
Bark J, Kim H, Seo S. Research Trends and Gaps in Human Papillomavirus Vaccination Intention in South Korea: A Scoping Review. Healthcare. 2026; 14(3):355. https://doi.org/10.3390/healthcare14030355
Chicago/Turabian StyleBark, Jiyeon, Haejin Kim, and Soyoung Seo. 2026. "Research Trends and Gaps in Human Papillomavirus Vaccination Intention in South Korea: A Scoping Review" Healthcare 14, no. 3: 355. https://doi.org/10.3390/healthcare14030355
APA StyleBark, J., Kim, H., & Seo, S. (2026). Research Trends and Gaps in Human Papillomavirus Vaccination Intention in South Korea: A Scoping Review. Healthcare, 14(3), 355. https://doi.org/10.3390/healthcare14030355

