Digital Storytelling Intervention to Promote Human Papillomavirus Vaccination Among At-Risk Asian Immigrant Populations: Pilot Intervention Study
Bibliographic record
Abstract
BACKGROUND: The high morbidity, mortality, and economic burden attributed to cancer-causing human papillomavirus (HPV) calls for researchers to address this public health concern through HPV vaccination. Despite disparities in HPV-associated cancers in Korean Americans and Vietnamese Americans, their vaccination rates remain low. Evidence points to the importance of developing culturally and linguistically congruent interventions to improve HPV vaccination rates. Digital storytelling (a specific form of cultural narrative) shows promise as an effective culture-centric health promotion strategy. OBJECTIVE: The aim of this quasi-experimental single-group study was to assess the feasibility, acceptability, and preliminary effects of a culturally and linguistically congruent digital storytelling intervention on Korean American and Vietnamese American mothers' attitudes and intention in vaccinating their children against HPV. We also examined if the association between attitudes and intention differed by their child's sex (boy vs girl) and by ethnicity (Korean American vs Vietnamese American). METHODS: Participants were recruited via multiple avenues (eg, ethnic minority community organizations, social media, and flyers posted in local Asian supermarkets and nail salons). Web-based, valid, and reliable measures were administered to collect data preintervention and postintervention. Descriptive statistics, paired and independent sample t tests, the chi-square test, and the McNemar test were used to describe the distributions of variables and to examine the differences between subgroups and changes in key variables over time. Logistic regression models were used to examine associations of mothers' HPV- and vaccine-related attitudes with vaccination intention and to explore if the association between attitudes and vaccination intention differed by the target children's sex or ethnicity. RESULTS: =18.38, P<.001). The measure of mothers' negative attitudes toward HPV and the vaccine was significantly associated with higher vaccination intention (odds ratio 0.27, 95% CI 0.14-0.51; P<.001), adjusting for background variables (sociodemographic characteristics) and other HPV-related variables (family cancer history, prior HPV education, and HPV communication with health care providers). Findings did not suggest that a child's sex or ethnicity moderated the association between attitudes and vaccination intention. CONCLUSIONS: This remotely delivered intervention using digital stories was feasible and acceptable, and showed preliminary effects on promoting Korean American and Vietnamese American mothers' intention to vaccinate their children against HPV. Future research that uses a randomized controlled trial design with a larger and more diverse sample and includes children's vaccination status will help understand the effect of the intervention.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".