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Citing this Article

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Published on 08.06.18 in Vol 6, No 6 (2018): June

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

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

Puhong Zhang, Le Dong, Huan Chen, Yanling Chai, Jianbo Liu

JMIR Mhealth Uhealth 2018 (Jun 08); 6(6):e140 

According to Crossref, the following articles are citing this article (DOI 10.2196/mhealth.9302):

(note that this is only a small subset of citations)

  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
    CrossRef
  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
    CrossRef
  3. . Self-medication with Chinese Medicine Online. Medical Anthropology 2021;40(3):267
    CrossRef
  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
    CrossRef
  5. Gyselaers W, Lanssens D, Perry H, Khalil A. Mobile Health Applications for Prenatal Assessment and Monitoring. Current Pharmaceutical Design 2019;25(5):615
    CrossRef
  6. Wang N, Deng Z, Wen LM, 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
    CrossRef
  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
    CrossRef
  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
    CrossRef
  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
    CrossRef
  10. Muthelo L, Mbombi MO, Bopape MA, Mothiba TM, Densmore M, van Heerden A, Norris SA, Dias NV, 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
    CrossRef
  11. Zhang P, Chen H, Shang J, Ge J, Zhang H, Xu M, Bian C, Zhao Y, Chen M, Hirst JE. 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
    CrossRef
  12. Puspitasari IW, Rinawan FR, Purnama WG, Susiarno H, Susanti AI. 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
    CrossRef
  13. Benton M, Iman I, Goldsmith K, Forbes A, Ching SM, Papachristou Nadal I, Guess N, Murphy HR, Mohd Yusof B, Baharom A, Mahamad Sobri NH, Basri NI, Salim MS, Ismail IZ, Hassan F, Ismail K, Chew BH. 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
    CrossRef
  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
    CrossRef
  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
    CrossRef
  16. Saing CH, Ung M, Suy S, Oy S, Dary C, Yam ELY, 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)
    CrossRef
  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
    CrossRef
  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
    CrossRef
  19. Phillips JC, Alfano AR, Barfield LC, Cain L, Sadjadi M, Morales E, Phillips-Beck W, Galarza MG, Torres M, Zindani S, Rayani A, Edwards K, Jones SG, Hannan J. Exploring Maternal and Infant Health App Development and Effectiveness Research: Scoping Review. JMIR Pediatrics and Parenting 2024;7:e46973
    CrossRef
  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;
    CrossRef
  21. Fan XM, Kim HW. The status of intimate partner violence against pregnant women in contemporary China: a scoping review. Women's Health Nursing 2024;30(1):41
    CrossRef
  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
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/mhealth.9302):

  1. de Moraes Lopes MHB, Ferreira DD, Ferreira ACBH, da Silva GR, Caetano AS, Braz VN. Artificial Intelligence in Precision Health. 2020. :465
    CrossRef
  2. Mukami V, Millham R, Puckree T, Fong SJ. Proceeding of First Doctoral Symposium on Natural Computing Research. 2021. Chapter 18:173
    CrossRef
  3. Franco P, Olhaberry M, Muzard A, Lara MA, Cuijpers P. Prevention and Early Treatment of Depression Through the Life Course. 2023. Chapter 8:141
    CrossRef