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Review of Android Apps for Monitoring Pregnancy Symptoms and Care.
- Source :
- Ingénierie des Systèmes d'Information; Apr2024, Vol. 29 Issue 2, p627-636, 10p
- Publication Year :
- 2024
-
Abstract
- A scarcity of apps for high-risk pregnancy detection motivated researchers thoroughly to evaluate the various Android mobile applications to unveil the gaps in accuracy, functionality, and usability. This review provides crucial recommendations for future investigations in pregnancy monitoring app development. The current study systematically assess Android mobile appplications deploying Mobile Application Rating Scale (MARS) for engagement, functionality, aesthetics, and information evaluation. Additionally, app characteristics, pregnancy monitoring features, guidance, and minor pregnancy disorder monitoring were assessed. A total of 1,176 mobile apps are reviewed, with a mere 18 (1.53%) meeting inclusion criteria. 17 (94.44%) of these focus on assessing pregnancyrelated concerns, and exceptional MARS grade of 4.29 out of 5. Notably, the app functionality evaluation received the maximum score of 4.72. Furthermore, 7 (27%) track particular pregnancy issues, while 16 (88.88%) apps track tiredness. In addition, 14 applications (77.78%) are dedicated to monitoring minor pregnancy problems. Pregnancy Tracker, Pregnancy App, and Baby Tracker have a commendable 4.7-star rating and provide thorough pregnancy information. Minor disorders are tracked by Mylo Pregnancy, Pregnancy Track, Maternal Care, Pregnancy Calculator, and Ovia Pregnancy. What to Expect, Healofy, Amma Pregnancy, and My Pregnancy outshine with MARS scores above 4.75 to 5, confirming best user experiences. Due to certain security and privacy considerations, the study was limited to evaluate selective applications. This review findings guide future mobile health research in a moving context. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 16331311
- Volume :
- 29
- Issue :
- 2
- Database :
- Complementary Index
- Journal :
- Ingénierie des Systèmes d'Information
- Publication Type :
- Academic Journal
- Accession number :
- 177131726
- Full Text :
- https://doi.org/10.18280/isi.290224