Assessing Fetal Health by Pregnant Women in China Using Mobile Health Application

  • Xinxin Yu
  • Saiful Hasley Ramli
  • Noris Mohad Norowi
  • Siti Suhaily Surip
  • Rahinah Ibrahim
  • Xiaolin Yang
  • Ziming Li

Abstract

This study endeavours to tackle the critical problem of inadequate evidence-based content in mobile health applications (mHealth apps), which adversely impact the accuracy of pregnancy outcomes. To this end, a conceptual framework for evaluating the visualization of fetal health is proposed through a systematic literature review method. This research aims to achieve the following objectives: (1) identify crucial health information that pregnant women in China need to know, (2) determine the best mHealth apps for pregnant women in China, and (3) evaluate the key components for assessing fetal health using mHealth apps among pregnant women in China. The results include fetal health variables, pregnancy complication variables, healthy diet variables, self-care practice variables, and user interface variables. This study contributes to proposing a design of mHealth apps by generating evidence-based visualized fetal assessment methods to foster prenatal attachment and reduce adverse pregnancy outcomes. This study presents a theoretical framework for mHealth apps aimed at pregnant women.

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Published
2023-09-01
How to Cite
YU, Xinxin et al. Assessing Fetal Health by Pregnant Women in China Using Mobile Health Application. International Journal of Business and Technology Management, [S.l.], v. 5, n. 3, p. 79-94, sep. 2023. ISSN 2682-7646. Available at: <https://myjms.mohe.gov.my/index.php/ijbtm/article/view/23738>. Date accessed: 24 june 2024.
Section
Articles