Published on in Vol 6, No 6 (2018): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/9302, first published .
The Rise and Need for Mobile Apps for Maternal and Child Health Care in China: Survey Based on App Markets

The Rise and Need for Mobile Apps for Maternal and Child Health Care in China: Survey Based on App Markets

The Rise and Need for Mobile Apps for Maternal and Child Health Care in China: Survey Based on App Markets

Journals

  1. Shang J, Wei S, Jin J, Zhang P. Mental Health Apps in China: Analysis and Quality Assessment. JMIR mHealth and uHealth 2019;7(11):e13236 View
  2. Wang Y, Liu Y, Shi Y, Yu Y, Yang J. User Perceptions of Virtual Hospital Apps in China: Systematic Search. JMIR mHealth and uHealth 2020;8(8):e19487 View
  3. Yao D. Self-medication with Chinese Medicine Online. Medical Anthropology 2021;40(3):267 View
  4. Yang H, Zhang X. Investigating the Effect of Paid and Free Feedback About Physicians' Telemedicine Services on Patients’ and Physicians’ Behaviors: Panel Data Analysis. Journal of Medical Internet Research 2019;21(3):e12156 View
  5. Gyselaers W, Lanssens D, Perry H, Khalil A. Mobile Health Applications for Prenatal Assessment and Monitoring. Current Pharmaceutical Design 2019;25(5):615 View
  6. Wang N, Deng Z, Wen L, Ding Y, He G. Understanding the Use of Smartphone Apps for Health Information Among Pregnant Chinese Women: Mixed Methods Study. JMIR mHealth and uHealth 2019;7(6):e12631 View
  7. Areemit R, Lumbiganon P, Suphakunpinyo C, Jetsrisuparb A, Sutra S, Sripanidkulchai K. A Mobile App, KhunLook, to Support Thai Parents and Caregivers With Child Health Supervision: Development, Validation, and Acceptability Study. JMIR mHealth and uHealth 2020;8(10):e15116 View
  8. Padró‐Arocas A, Quifer‐Rada P, Aguilar‐Camprubí L, Mena‐Tudela D. Description of an mHealth tool for breastfeeding support: LactApp. Analysis of how lactating mothers seek support at critical breastfeeding points and according to their infant's age. Research in Nursing & Health 2021;44(1):173 View
  9. Brunelli L, De Vita C, Cenedese F, Cinello M, Paris M, Samogizio F, Starec A, Bava M, Dal Cin M, Zanchiello S, Stampalija T. Gaps and Future Challenges of Italian Apps for Pregnancy and Postnatal Care: Systematic Search on App Stores. Journal of Medical Internet Research 2021;23(8):e29151 View
  10. Muthelo L, Mbombi M, Bopape M, Mothiba T, Densmore M, van Heerden A, Norris S, Dias N, Griffiths P, Mackintosh N. Reflections on Digital Maternal and Child Health Support for Mothers and Community Health Workers in Rural Areas of Limpopo Province, South Africa. International Journal of Environmental Research and Public Health 2023;20(3):1842 View
  11. Zhang P, Chen H, Shang J, Ge J, Zhang H, Xu M, Bian C, Zhao Y, Chen M, Hirst J. Mobile Phone App Use Among Pregnant Women in China and Associations Between App Use and Perinatal Outcomes: Retrospective Study. JMIR Formative Research 2022;6(1):e29644 View
  12. Puspitasari I, Rinawan F, Purnama W, Susiarno H, Susanti A. Development of a Chatbot for Pregnant Women on a Posyandu Application in Indonesia: From Qualitative Approach to Decision Tree Method. Informatics 2022;9(4):88 View
  13. Benton M, Iman I, Goldsmith K, Forbes A, Ching S, Papachristou Nadal I, Guess N, Murphy H, Mohd Yusof B, Baharom A, Mahamad Sobri N, Basri N, Salim M, Ismail I, Hassan F, Ismail K, Chew B. A Mobile Phone App for the Prevention of Type 2 Diabetes in Malaysian Women With Gestational Diabetes Mellitus: Protocol for a Feasibility Randomized Controlled Trial. JMIR Research Protocols 2022;11(9):e37288 View
  14. Matsubara K, Hattori T, Narumi S. Achievement of Developmental Milestones Recorded in Real Time: A Mobile App-Based Study. The Journal of Pediatrics 2022;245:201 View
  15. Areemit R, Saengnipanthkul S, Sutra S, Lumbiganon P, Pornprasitsakul P, Paopongsawan P, Sripanidkulchai K. Effectiveness of a Mobile App (KhunLook) Versus the Maternal and Child Health Handbook on Thai Parents’ Health Literacy, Accuracy of Health Assessments, and Convenience of Use: Randomized Controlled Trial. Journal of Medical Internet Research 2023;25:e43196 View
  16. Saing C, Ung M, Suy S, Oy S, Dary C, Yam E, Chhorn S, Nagashima-Hayashi M, Khuon D, Mam S, Kim R, Saphonn V, Yi S. i-MoMCARE: Innovative Mobile Technology for Maternal and Child Health Care in Cambodia—study protocol of a cluster randomized controlled trial. Trials 2023;24(1) View
  17. Tao X, Zhang P, Zhang X, Mao L, Peiris D. Features, functions, and quality of mobile applications for type 2 diabetes care in China: Systematic search of app stores. International Journal of Medical Informatics 2023;180:105273 View
  18. Hao J, Yang L, Wang Y, Lan Y, Xu X, Wang Z, Li Z, Ma L, Li J, Zhang S, Sun Y. Mobile Prenatal Education and Its Impact on Reducing Adverse Pregnancy Outcomes: Retrospective Real-World Study. JMIR mHealth and uHealth 2023;11:e46910 View
  19. Phillips J, Alfano A, Barfield L, Cain L, Sadjadi M, Morales E, Phillips-Beck W, Galarza M, Torres M, Zindani S, Rayani A, Edwards K, Jones S, Hannan J. Exploring Maternal and Infant Health App Development and Effectiveness Research: Scoping Review. JMIR Pediatrics and Parenting 2024;7:e46973 View
  20. Dai Y, Min H, Sun L, Wang X, Zhu C, Gu C. Assessing women's and health professionals' views on developing a midwifery‐led mobile health app intervention in pregnancy: A descriptive qualitative study. Journal of Advanced Nursing 2024 View
  21. Fan X, Kim H. The status of intimate partner violence against pregnant women in contemporary China: a scoping review. Women's Health Nursing 2024;30(1):41 View
  22. Sakamoto M, Ishikawa H, Suzuki A. Evaluation of Parents’ Use of a Child Health Care Information App and Their Health Literacy: Cross-Sectional Study. JMIR Pediatrics and Parenting 2024;7:e48478 View
  23. Liu Z, Zhang C, Ji X, Yi X, Yao J. Design of breastfeeding chairs for maternity rooms based on Kano-AHP-QFD: User requirement-driven design approach. Heliyon 2024;10(10):e31287 View

Books/Policy Documents

  1. de Moraes Lopes M, Ferreira D, Ferreira A, da Silva G, Caetano A, Braz V. Artificial Intelligence in Precision Health. View
  2. Mukami V, Millham R, Puckree T, Fong S. Proceeding of First Doctoral Symposium on Natural Computing Research. View
  3. Franco P, Olhaberry M, Muzard A, Lara M, Cuijpers P. Prevention and Early Treatment of Depression Through the Life Course. View