Multimedia health education intervention incorporating health behavior theories for improving parental intention to vaccinate daughters against HPV in Armenia
Bibliographic record
Abstract
Human Papillomavirus (HPV) is a common sexually transmitted disease and causes cervical cancer. Although the HPV vaccine is available in Armenia, the coverage is low, attributed to the lack of parental knowledge and awareness about HPV and vaccine safety. The study aimed to evaluate changes in knowledge, belief and intent to vaccinate their daughters against HPV among parents of school-going girls after a video intervention in Yerevan, Armenia. The study followed a pre- and post-test design with a 10-minute multimedia intervention created using constructs of health belief model and theory of planned behavior. Parents from two randomly selected primary schools who had a daughter(s) not vaccinated against HPV and aged between 9 and 14 years participated in the study. The study used a paired t-test to analyze differences in composite knowledge and beliefs scores, and Wilcoxon signed-rank tests to compare paired responses for intention to vaccinate between the pre-test and post-test measurements. All 39 participants were mothers with a mean age of 38 years (SD = 5.90). The knowledge scores [M1 = 4.51 (SD = 2.92); M2 = 9.31 (SD = 3.15)] and belief scores [M1 = 20.54 (SD = 3.79); M2 = 23.56 (SD = 4.51)] of the participants improved significantly (p < 0.001) after the intervention [by 4.80 (SD = 2.92) and 3.03 (SD = 4.58), respectively]; 34.2% of participants improved their intent to vaccinate their daughter against HPV . In conclusion, multimedia education was well received by parents and could be an efficient tool in HPV education.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".