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Citing this Article

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Published on 17.04.15 in Vol 3, No 2 (2015): Apr-Jun

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

Works citing "Usability and Feasibility of PIERS on the Move: An mHealth App for Pre-Eclampsia Triage"

According to Crossref, the following articles are citing this article (DOI 10.2196/mhealth.3942):

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

  1. Bellad MB, Goudar SS, Mallapur AA, Sharma S, Bone J, Charantimath US, Katageri GM, Ramadurg UY, Mark Ansermino J, Derman RJ, Dunsmuir DT, Honnungar NV, Karadiguddi C, Kavi AJ, Kodkany BS, Lee T, Li J, Nathan HL, Payne BA, Revankar AP, Shennan AH, Singer J, Tu DK, Vidler M, Wong H, Bhutta ZA, Magee LA, von Dadelszen P. Community Level Interventions for Pre-eclampsia (CLIP) in India: a cluster randomised controlled trial. Pregnancy Hypertension 2020;
    CrossRef
  2. Nagraj S, Kennedy SH, Norton R, Jha V, Praveen D, Hinton L, Hirst JE. Cardiometabolic Risk Factors in Pregnancy and Implications for Long-Term Health: Identifying the Research Priorities for Low-Resource Settings. Frontiers in Cardiovascular Medicine 2020;7
    CrossRef
  3. Sevene E, Sharma S, Munguambe K, Sacoor C, Vala A, Macuacua S, Boene H, Mark Ansermino J, Augusto O, Bique C, Bone J, Dunsmuir DT, Lee T, Li J, Macete E, Singer J, Wong H, Nathan HL, Payne BA, Sidat M, Shennan AH, Tchavana C, Tu DK, Vidler M, Bhutta ZA, Magee LA, von Dadelszen P. Community-level interventions for pre-eclampsia (CLIP) in Mozambique: A cluster randomised controlled trial. Pregnancy Hypertension 2020;21:96
    CrossRef
  4. Dick S, O’Connor Y, Heavin C. Approaches to Mobile Health Evaluation: A Comparative Study. Information Systems Management 2020;37(1):75
    CrossRef
  5. von Dadelszen P, Flint-O’Kane M, Poston L, Craik R, Russell D, Tribe RM, d’Alessandro U, Roca A, Jah H, Temmerman M, Koech Etyang A, Sevene E, Chin P, Lawn JE, Blencowe H, Sandall J, Salisbury TT, Barratt B, Shennan AH, Makanga PT, Magee LA. The PRECISE (PREgnancy Care Integrating translational Science, Everywhere) Network’s first protocol: deep phenotyping in three sub-Saharan African countries. Reproductive Health 2020;17(S1)
    CrossRef
  6. DeNicola N, Marko K. Connected Health and Mobile Apps in Obstetrics and Gynecology. Obstetrics and Gynecology Clinics of North America 2020;47(2):317
    CrossRef
  7. Chiu LYL, Sun T, Ree R, Dunsmuir D, Dotto A, Ansermino JM, Yarnold C. The evaluation of smartphone versions of the visual analogue scale and numeric rating scale as postoperative pain assessment tools: a prospective randomized trial. Canadian Journal of Anesthesia/Journal canadien d'anesthésie 2019;66(6):706
    CrossRef
  8. Magee LA, Sharma S, Nathan HL, Adetoro OO, Bellad MB, Goudar S, Macuacua SE, Mallapur A, Qureshi R, Sevene E, Sotunsa J, Valá A, Lee T, Payne BA, Vidler M, Shennan AH, Bhutta ZA, von Dadelszen P, Myers JE. The incidence of pregnancy hypertension in India, Pakistan, Mozambique, and Nigeria: A prospective population-level analysis. PLOS Medicine 2019;16(4):e1002783
    CrossRef
  9. Fang Y, Lin C. The Usability Testing of VR Interface for Tourism Apps. Applied Sciences 2019;9(16):3215
    CrossRef
  10. Carter J, Sandall J, Shennan AH, Tribe RM. Mobile phone apps for clinical decision support in pregnancy: a scoping review. BMC Medical Informatics and Decision Making 2019;19(1)
    CrossRef
  11. Hankins JS, Shah N, DiMartino L, Brambrilla D, Fernandez ME, Gibson RW, Gordeuk VR, Lottenberg R, Kutlar A, Melvin C, Simon J, Wun T, Treadwell M, Calhoun C, Baumann A, Potter MB, Klesges L, Bosworth H. Integration of Mobile Health Into Sickle Cell Disease Care to Increase Hydroxyurea Utilization: Efficacy and Implementation Study (Preprint). JMIR Research Protocols 2019;
    CrossRef
  12. Vasco M, Pandya S, Van Dyk D, Bishop D, Wise R, Dyer R. Maternal critical care in resource-limited settings. Narrative review. International Journal of Obstetric Anesthesia 2019;37:86
    CrossRef
  13. Haddad SM, Souza RT, Cecatti JG. Mobile technology in health (mHealth) and antenatal care–Searching for apps and available solutions: A systematic review. International Journal of Medical Informatics 2019;127:1
    CrossRef
  14. Purswani JM, Dicker AP, Champ CE, Cantor M, Ohri N. Big Data From Small Devices: The Future of Smartphones in Oncology. Seminars in Radiation Oncology 2019;29(4):338
    CrossRef
  15. Dunsmuir D, Wu H, Sun T, West NC, Lauder GR, Görges M, Ansermino JM. A Postoperative Pain Management Mobile App (Panda) for Children at Home After Discharge: Usability and Feasibility. JMIR Perioperative Medicine 2019;2(2):e12305
    CrossRef
  16. Rivera-Romero O, Olmo A, Muñoz R, Stiefel P, Miranda ML, Beltrán LM. Mobile Health Solutions for Hypertensive Disorders in Pregnancy: Scoping Literature Review. JMIR mHealth and uHealth 2018;6(5):e130
    CrossRef
  17. Chib A, Lin SH. Theoretical Advancements in mHealth: A Systematic Review of Mobile Apps. Journal of Health Communication 2018;23(10-11):909
    CrossRef
  18. Edwards EA, Caton H, Lumsden J, Rivas C, Steed L, Pirunsarn Y, Jumbe S, Newby C, Shenvi A, Mazumdar S, Smith JQ, Greenhill D, Griffiths CJ, Walton RT. Creating a Theoretically Grounded, Gamified Health App: Lessons From Developing the Cigbreak Smoking Cessation Mobile Phone Game. JMIR Serious Games 2018;6(4):e10252
    CrossRef
  19. Abejirinde IO, Ilozumba O, Marchal B, Zweekhorst M, Dieleman M. Mobile health and the performance of maternal health care workers in low- and middle-income countries: A realist review. International Journal of Care Coordination 2018;21(3):73
    CrossRef
  20. Sun T, Dunsmuir D, Miao I, Devoy GM, West NC, Görges M, Lauder GR, Ansermino JM. In-hospital usability and feasibility evaluation of Panda, an app for the management of pain in children at home. Pediatric Anesthesia 2018;28(10):897
    CrossRef
  21. Zhang J, Tüshaus L, Nuño Martínez N, Moreo M, Verastegui H, Hartinger SM, Mäusezahl D, Karlen W. Data Integrity–Based Methodology and Checklist for Identifying Implementation Risks of Physiological Sensing in Mobile Health Projects: Quantitative and Qualitative Analysis. JMIR mHealth and uHealth 2018;6(12):e11896
    CrossRef
  22. Firoz T, Makanga PT, Nathan HL, Payne B, Magee LA. Reverse innovation in maternal health. Obstetric Medicine 2017;10(3):113
    CrossRef
  23. Alexander JC, Minhajuddin A, Joshi GP. Comparison of smartphone application-based vital sign monitors without external hardware versus those used in clinical practice: a prospective trial. Journal of Clinical Monitoring and Computing 2017;31(4):825
    CrossRef
  24. Khanum S, de Souza M, Sayyed A, Naz N. Designing a Pregnancy Care Network for Pregnant Women. Technologies 2017;5(4):80
    CrossRef
  25. von Dadelszen P, Magee LA. Strategies to reduce the global burden of direct maternal deaths. Obstetric Medicine 2017;10(1):5
    CrossRef
  26. White BK, Martin A, White JA, Burns SK, Maycock BR, Giglia RC, Scott JA. Theory-Based Design and Development of a Socially Connected, Gamified Mobile App for Men About Breastfeeding (Milk Man). JMIR mHealth and uHealth 2016;4(2):e81
    CrossRef
  27. von Dadelszen P, Magee LA. Preventing deaths due to the hypertensive disorders of pregnancy. Best Practice & Research Clinical Obstetrics & Gynaecology 2016;36:83
    CrossRef
  28. English LL, Dunsmuir D, Kumbakumba E, Ansermino JM, Larson CP, Lester R, Barigye C, Ndamira A, Kabakyenga J, Wiens MO. The PAediatric Risk Assessment (PARA) Mobile App to Reduce Postdischarge Child Mortality: Design, Usability, and Feasibility for Health Care Workers in Uganda. JMIR mHealth and uHealth 2016;4(1):e16
    CrossRef
  29. Li L, Zheng Y, Zhu Y, Li J. Serum biomarkers combined with uterine artery Doppler in prediction of preeclampsia. Experimental and Therapeutic Medicine 2016;12(4):2515
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/mhealth.3942)

:
  1. Chiou W, Lai S, Huang D. Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Healthcare Applications. 2019. Chapter 2:23
    CrossRef