Assessing fetal health by pregnant women in China using mobile health application
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...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Published: |
Asian Scholar Network
2023
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| Online Access: | http://psasir.upm.edu.my/id/eprint/106722/ |
| _version_ | 1848864811587207168 |
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| author | Yu, Xinxin Ramli, Saiful Hasley Mohad Norowi, Noris Surip, Siti Suhaily Ibrahim, Rahinah Yang, Xiaolin Li, Ziming |
| author_facet | Yu, Xinxin Ramli, Saiful Hasley Mohad Norowi, Noris Surip, Siti Suhaily Ibrahim, Rahinah Yang, Xiaolin Li, Ziming |
| author_sort | Yu, Xinxin |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-15T13:54:45Z |
| format | Article |
| id | upm-106722 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-15T13:54:45Z |
| publishDate | 2023 |
| publisher | Asian Scholar Network |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-1067222024-10-03T04:59:06Z http://psasir.upm.edu.my/id/eprint/106722/ Assessing fetal health by pregnant women in China using mobile health application Yu, Xinxin Ramli, Saiful Hasley Mohad Norowi, Noris Surip, Siti Suhaily Ibrahim, Rahinah Yang, Xiaolin Li, Ziming 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. Asian Scholar Network 2023-09-01 Article PeerReviewed Yu, Xinxin and Ramli, Saiful Hasley and Mohad Norowi, Noris and Surip, Siti Suhaily and Ibrahim, Rahinah and Yang, Xiaolin and Li, Ziming (2023) Assessing fetal health by pregnant women in China using mobile health application. International Journal of Business and Technology Management, 5 (3). 79 - 94. ISSN 2682-7646 https://myjms.mohe.gov.my/index.php/ijbtm/article/view/23738 10.55057/ijbtm.2023.5.3.7 |
| spellingShingle | Yu, Xinxin Ramli, Saiful Hasley Mohad Norowi, Noris Surip, Siti Suhaily Ibrahim, Rahinah Yang, Xiaolin Li, Ziming Assessing fetal health by pregnant women in China using mobile health application |
| title | Assessing fetal health by pregnant women in China using mobile health application |
| title_full | Assessing fetal health by pregnant women in China using mobile health application |
| title_fullStr | Assessing fetal health by pregnant women in China using mobile health application |
| title_full_unstemmed | Assessing fetal health by pregnant women in China using mobile health application |
| title_short | Assessing fetal health by pregnant women in China using mobile health application |
| title_sort | assessing fetal health by pregnant women in china using mobile health application |
| url | http://psasir.upm.edu.my/id/eprint/106722/ http://psasir.upm.edu.my/id/eprint/106722/ http://psasir.upm.edu.my/id/eprint/106722/ |