Development and effectiveness of a digital health literacy improvement program (DHL-Up) for multicultural children and adolescents in South Korea: a quasi-experimental study

PURPOSE: Digital health literacy is essential for health management among children and adolescents, with multicultural youth being particularly vulnerable to challenges in accessing, appraising, and using digital health information. This study aimed to develop a digital health literacy improvement program (DHL-Up) tailored to multicultural children and adolescents and evaluate its effectiveness. METHODS: Guided by the Transactional Model of eHealth Literacy and the ADDIE (Analysis, Design, Development, Implementation, Evaluation) model, a five-session program was developed to strengthen functional, communicative, critical, and translational digital health literacy. A non-equivalent control group pretest-posttest design was used. The participants included 31 multicultural children and adolescents aged 10-15 years (experimental group: 14; control group: 17). The experimental group participated in a 5-week online program (60 minutes per session) delivered to small groups via Zoom. Data were collected before and after the intervention and analyzed using descriptive statistics, independent t-tests, Mann-Whitney U tests, chi-square tests, and Fisher's exact tests. RESULTS: The experimental group showed significantly greater improvements in digital health literacy (t=2.73, p=.011) and the usefulness of Internet health information (t=3.11, p=.004) than the control group. No significant difference was found for information overload (t=-0.17, p=.854). CONCLUSION: This study developed and validated a tailored digital health literacy intervention for multicultural children and adolescents, demonstrating its applicability in schools, public health centers, and community settings. These findings provide foundational evidence to support the institutionalization of digital health literacy education and highlight its potential to mitigate digital health information disparities among vulnerable populations.