This paper is in the following e-collection/theme issue:

mHealth for Wellness, Behavior Change and Prevention (2743) Design and Formative Evaluation of Mobile Apps (661) Pregnancy Information, Education and Lifestyle Interventions (284)

Published on in Vol 6, No 4 (2018): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/9718, first published .
Development of a Healthy Lifestyle Mobile App for Overweight Pregnant Women: Qualitative Study

Development of a Healthy Lifestyle Mobile App for Overweight Pregnant Women: Qualitative Study

Development of a Healthy Lifestyle Mobile App for Overweight Pregnant Women: Qualitative Study

Authors of this article:

Ying Lau1 Author Orcid Image ;   Ling Jie Cheng2 Author Orcid Image ;   Claudia Chi3 Author Orcid Image ;   Cammy Tsai4 Author Orcid Image ;   Kai Wen Ong5 Author Orcid Image ;   Sarah Su Tin Ho-Lim3 Author Orcid Image ;   Wei Wang6 Author Orcid Image ;   Kian-Lee Tan6 Author Orcid Image
Article Authors Cited by (19) Tweetations (4) Metrics

Journals

  1. Cher B, Kembhavi G, Toh K, Audimulam J, Chia W, Vrijhoef H, Lim Y, Lim T. Understanding the Attitudes of Clinicians and Patients Toward a Self-Management eHealth Tool for Atrial Fibrillation: Qualitative Study. JMIR Human Factors 2020;7(3):e15492 View
  2. van Haasteren A, Gille F, Fadda M, Vayena E. Development of the mHealth App Trustworthiness checklist. DIGITAL HEALTH 2019;5:205520761988646 View
  3. Bogaerts A, Bijlholt M, Mertens L, Braeken M, Jacobs B, Vandenberghe B, Ameye L, Devlieger R. Development and Field Evaluation of the INTER-ACT App, a Pregnancy and Interpregnancy Coaching App to Reduce Maternal Overweight and Obesity: Mixed Methods Design. JMIR Formative Research 2020;4(2):e16090 View
  4. Fiordelli M, Zanini C, Amann J, Scheel-Sailer A, Brach M, Stucki G, Rubinelli S. Selecting Evidence-Based Content for Inclusion in Self-Management Apps for Pressure Injuries in Individuals With Spinal Cord Injury: Participatory Design Study. JMIR mHealth and uHealth 2020;8(5):e15818 View
  5. Pinillos-Patiño Y, Herazo-Beltrán Y, Rodríguez-Cordero O, Escorcia-Bermejo A, Martelo-López E, Vidarte-Claros J, García J, Moreno G. User Preferences Related to Multimedia Elements of a Mobile Application to Prevent Diabetes. Healthcare Informatics Research 2020;26(4):295 View
  6. Skuse A, Rodger D, Wilmore M, Humphreys S, Dalton J, Clifton V. Solving ‘wicked problems’ in the app co-design process. Convergence: The International Journal of Research into New Media Technologies 2021;27(2):539 View
  7. Schoenberg N, Dunfee M, Yeager H, Rutledge M, Pfammatter A, Spring B. Rural Residents’ Perspectives on an mHealth or Personalized Health Coaching Intervention: Qualitative Study With Focus Groups and Key Informant Interviews. JMIR Formative Research 2021;5(2):e18853 View
  8. Wu X, Guo X, Zhu H. Exploring the human factors for mindfulness in mHealth service usage: An Elaboration Likelihood Model. Information Development 2021;37(3):511 View
  9. Lee C, Hsiung Y, Chi L, Huang J, Chen H. “Help me fight my constant battle”: A focus group study of overweight and obese women's mHealth app experiences to manage gestational weight gain. Midwifery 2023;116:103552 View
  10. Ku C, Loo R, Lim C, Tan J, Ho J, Han W, Ng X, Chan J, Yap F, Loy S. Development and Validation of a Lifestyle Behavior Tool in Overweight and Obese Women through Qualitative and Quantitative Approaches. Nutrients 2021;13(12):4553 View
  11. Duan B, Liu Z, Liu W, Gou B. Assessing the Views and Needs of People at High Risk of Gestational Diabetes Mellitus for the Development of Mobile Health Apps: Descriptive Qualitative Study. JMIR Formative Research 2022;6(7):e36392 View
  12. Ruiz-Burga E, Bruijning-Verhagen P, Palmer P, Sandcroft A, Fernandes G, de Hoog M, Bryan L, Pierre R, Bailey H, Giaquinto C, Thorne C, Christie C. Detection of Potential Arbovirus Infections and Pregnancy Complications in Pregnant Women in Jamaica Using a Smartphone App (ZIKApp): Pilot Evaluation Study. JMIR Formative Research 2022;6(7):e34423 View
  13. Ku C, Leow S, Ong L, Erwin C, Ong I, Ng X, Tan J, Yap F, Chan J, Loy S. Developing a lifestyle intervention program for overweight or obese preconception, pregnant and postpartum women using qualitative methods. Scientific Reports 2022;12(1) View
  14. Bas-Sarmiento P, Fernández-Gutiérrez M, Poza-Méndez M, Carrasco-Bernal M, Cuenca-García M, Díaz-Rodríguez M, Gómez-Jiménez M, Paloma-Castro O, Torres-Castaño A, Marín-Paz A. Needs of patients with multi-morbidity and heart failure for the development of a mHealth to improve their self-management: A qualitative analysis. DIGITAL HEALTH 2023;9:205520762311804 View
  15. Raab R, Geyer K, Zagar S, Hauner H. App-Supported Lifestyle Interventions in Pregnancy to Manage Gestational Weight Gain and Prevent Gestational Diabetes: Scoping Review. Journal of Medical Internet Research 2023;25:e48853 View
  16. Lim J, Ali N, Rajikan R, Amit N, Hamid H, Leong H, Mohamad M, Koh B, Musa A. Need analysis of a dietary application among caregivers of patients with disorders of amino acid metabolism (AAMDs): A mixed-method approach. International Journal of Medical Informatics 2023;177:105120 View
  17. Karim J, Wan R, Tabet R, Chiu D, Talhouk A. Person-Generated Health Data in Women’s Health: Scoping Review. Journal of Medical Internet Research 2024;26:e53327 View
  18. Raju S, Cowdell F, Dyson J. Barriers and facilitators to healthy gestational weight gain amongst pregnant women from ethnic minority groups: A systematic search and narrative synthesis. Midwifery 2024;135:104051 View

Books/Policy Documents

  1. . Design and Quality Considerations for Developing Mobile Apps for Medication Management. View