Issue |
E3S Web Conf.
Volume 609, 2025
The 7th International Conference on Multidiscipline Approaches for Sustainable Rural Development (ICMA SURE 2024)
|
|
---|---|---|
Article Number | 04003 | |
Number of page(s) | 5 | |
Section | Health Sciences | |
DOI | https://doi.org/10.1051/e3sconf/202560904003 | |
Published online | 24 January 2025 |
Usability test of the “Denia-IS” mobile application for sustainability high-risk pregnancy early detection in rural areas
1 Nursing Department, Faculty of Health Sciences, Universitas Jenderal Soedirman, Indonesia
2 Chemistry Department, Faculty of Math and Sciences, Universitas Jenderal Soedirman, Indonesia
3 Faculty of Nursing, Princess of Naradhiwas University, Thailand
* Corresponding author: mekar.anggraeni @unsoed.ac.id
Maternal Mortality Rate is one of the Sustainable Development Goals (SDGs) indicators and a major health problem in South East Asia. The majority of maternal mortality cases could be prevented through early detection. The objectives of this study were to examine the usability of Denia-IS. This study used a descriptive research design with respondents from pregnant women in Indonesia rural areas. The inclusion criteria in this study were pregnant women, gestational age 25-38 weeks, having an Android-based smartphone, and being willing to be respondents. The exclusion criteria in this study were a history of chronic hypertension, chronic bleeding, thalassemia, and suffering from malaria. For usability evaluation, 120 respondents were recruited from the outpatient clinic. This study used System Usability Scale (SUS). The response rate was 95% and respondents reported that the app had an excellent usability (mean= 88.73; SD= 0.4). Most of the respondents found that Denia-IS easy to use and would like to use it again. The respondents reported that the system helped them feel in control, and the information was useful. This App has reasonably good usability to asses and communicate high risk during pregnancy in a typically hard-to-reach population and personalized distance obstetrical care in rural areas.
Key words: Early detection / high-risk pregnancy / mHealth / rural area / usability test
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.