Submitted:
08 May 2025
Posted:
09 May 2025
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Abstract
Keywords:
1. Introduction
2. Materials and Methods
2.1. Study Design and Setting
2.2. Participants
2.3. The FRESH Application
- Educational content (videos and articles on anemia, nutrition, and adolescent health)
- IFA tracking and reminders (calendar-based intake monitoring with push notifications)
- Behavioral motivation tools (testimonial stories, goal setting, and achievement badges)
- Interactive learning (quizzes and games reinforcing core messages)
2.4. Feasibility Assessment Instrument
- Acceptability (e.g., design attractiveness, ease of installation)
- Usability (e.g., ease of navigation, response speed, layout clarity)
- Content Quality (e.g., relevance, credibility, age-appropriateness)
- Implementation Potential (e.g., perceived usefulness in school settings, integration feasibility)
2.5. Data Collection
2.6. Data Analysis
2.7. Ethical Considerations
3. Results
3.1. Participant Demographics
3.2. Feasibility Domain Scores
3.3. Key Findings from Qualitative Data
- Adolescent Girls: The majority of participants reported that they found the content to be engaging and informative. Most adolescents appreciated the reminder system, stating that it helped them remember to take their IFA supplements. However, a few mentioned that the content was sometimes too detailed and could be simplified for easier understanding. Quote: “The reminders were helpful, and I liked the quizzes because I could test what I learned.”
- Health Workers: Health workers generally felt that the application could enhance adherence to IFA supplementation, especially as it integrates educational content with real-time tracking. Some health workers suggested adding more interactive features, such as live chat or community forums, to further support adolescent users. Quote: “It could be a great tool for school health programs. Maybe it could include more personalized advice for the girls.”
- School Representatives: Most school representatives felt the application was easy to integrate into the school’s health curriculum. However, they pointed out that internet access could be a barrier for some students in rural areas. Quote: “It’s a useful tool, but we need to ensure all students have reliable access to the internet.”
3.4. Visual Representation of Domain Scores
3.5. Discussion of Key Barriers and Recommendations
- Internet Access: A recurring concern was that some adolescent girls, particularly in rural areas, may not have consistent internet access, which could limit the app’s utility. Future iterations of the application could explore offline features or data-light versions.
- User Training: A few users noted that an introductory tutorial would help familiarize them with the app’s functionalities, especially the reminder system.
3.6. Summary of Feasibility
4. Discussion
4.1. Key Findings
4.2. Strengths of the FRESH Application
4.3. Challenges and Areas for Improvement
4.4. Implications for Future Research and Practice
5. Conclusions
6. Patents
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Abbreviations
| Abbreviation | Full Form |
| FRESH | Folates and Iron for REsilient Adolescent Girls’ Health.Mobile application for Iron Supplementation adherence |
| ID | Iron deficiency |
| TTD | Tablet Tambah Darah (Iron Supplement) |
| IRB | Institutional Review Board |
| mHealth | Mobile Health |
| Puskesmas | Community Health Centers |
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| Group | Number of Participants | Age Range | Gender | Key Characteristics |
|---|---|---|---|---|
| Adolescent Girls | 15 | 15-18 | Female | Users of IFA supplementation, smartphone owners |
| School Representatives | 10 | 25-50 | Male/Female | Teachers, school health coordinators |
| Health Workers | 5 | 30-55 | Male/Female | Involved in adolescent health programs |
| Domain | Mean Score (SD) | Percentage of Positive Responses (%) |
| Acceptability | 3.75 (0.32) | 85% |
| Usability | 3.62 (0.29) | 80% |
| Content Quality | 3.81 (0.28) | 90% |
| Implementation Potential | 3.58 (0.35) | 78% |
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