Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Citing this Article

Right click to copy or hit: ctrl+c (cmd+c on mac)

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. 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
  2. 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
  3. von Dadelszen P, Magee LA. Strategies to reduce the global burden of direct maternal deaths. Obstetric Medicine 2017;10(1):5
    CrossRef
  4. 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
  5. Qureshi RN, Sheikh S, Hoodbhoy Z, Sharma S, Vidler M, Payne BA, Ahmed I, Mark Ansermino J, Bone J, Dunsmuir DT, Lee T, Li J, Nathan HL, Shennan AH, Singer J, Tu DK, Wong H, Magee LA, von Dadelszen P, Bhutta ZA. Community-level interventions for pre-eclampsia (CLIP) in Pakistan: A cluster randomised controlled trial. Pregnancy Hypertension 2020;22:109
    CrossRef
  6. 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
  7. 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
  8. Dick S, O’Connor Y, Heavin C. Approaches to Mobile Health Evaluation: A Comparative Study. Information Systems Management 2020;37(1):75
    CrossRef
  9. 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
  10. von Dadelszen P, Bhutta ZA, Sharma S, Bone J, Singer J, Wong H, Bellad MB, Goudar SS, Lee T, Li J, Mallapur AA, Munguambe K, Payne BA, Qureshi RN, Sacoor C, Sevene E, Vidler M, Magee LA, Macete E, Boene H, Amose F, Augusto O, Bique C, Biz AI, Chiaú R, Cutana S, Filimone P, Gonçálves E, Macamo M, Macuacua S, Maculuve S, Mandlate E, Matavele A, Mocumbi S, Mulungo D, Nhamirre Z, Nhancolo A, Nkumbula C, Nobela V, Pires R, Tchavana C, Vala A, Vilanculo F, Sheikh S, Hoodbhoy Z, Ahmed I, Hussain A, Memon J, Raza F, Katageri GM, Charantimath US, Bannale SG, Chougala KS, Dhamanekar VB, Honnungar NV, Joshi AM, Kamble NA, Karadiguddi CC, Kavi AJ, Kengapur GS, Kodkany BS, Kudachi US, Mastiholi SS, Mungarwadi GI, Ramdurg UY, Revankar AP, Drebit SK, Dunsmuir DT, Kariya C, Lui M, Sawchuck D, Tu DK, Ukah UV, Woo Kinshella M, Ansermino JM, Betrán AP, Derman R, Dharamsi S, Donnay F, Dumont G, Engelbrecht SM, Fillipi V, Firoz T, Grobman W, Knight M, Langer A, Lewin S, Lewis G, Mitton C, Schuurman N, Shennan A, Thornton J, Adetoro O, Sotunsa JO. The Community-Level Interventions for Pre-eclampsia (CLIP) cluster randomised trials in Mozambique, Pakistan, and India: an individual participant-level meta-analysis. The Lancet 2020;396(10250):553
    CrossRef
  11. Khanum S, de Souza M, Sayyed A, Naz N. Designing a Pregnancy Care Network for Pregnant Women. Technologies 2017;5(4):80
    CrossRef
  12. 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
  13. 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
  14. Firoz T, Makanga PT, Nathan HL, Payne B, Magee LA. Reverse innovation in maternal health. Obstetric Medicine 2017;10(3):113
    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. 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
  17. 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
  18. Hankins JS, Shah N, DiMartino L, Brambilla 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: Protocol for an Efficacy and Implementation Study. JMIR Research Protocols 2020;9(7):e16319
    CrossRef
  19. 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
  20. von Dadelszen P, Magee LA. Preventing deaths due to the hypertensive disorders of pregnancy. Best Practice & Research Clinical Obstetrics & Gynaecology 2016;36:83
    CrossRef
  21. 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
  22. 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
  23. Chib A, Lin SH. Theoretical Advancements in mHealth: A Systematic Review of Mobile Apps. Journal of Health Communication 2018;23(10-11):909
    CrossRef
  24. 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
  25. 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
  26. 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
  27. 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
  28. Fang Y, Lin C. The Usability Testing of VR Interface for Tourism Apps. Applied Sciences 2019;9(16):3215
    CrossRef
  29. 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
  30. 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
  31. 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;21:166
    CrossRef
  32. Ryan N, Vieira D, Goffman D, Bloch EM, Akaba GO, D’mello BS, Egekeze C, Snyder A, Lyimo M, Nnodu O, Peprah E. Implementation outcomes of policy and programme innovations to prevent obstetric haemorrhage in low- and middle-income countries: a systematic review. Health Policy and Planning 2020;35(9):1208
    CrossRef
  33. Davidson L, Boland MR. Towards deep phenotyping pregnancy: a systematic review on artificial intelligence and machine learning methods to improve pregnancy outcomes. Briefings in Bioinformatics 2021;22(5)
    CrossRef
  34. ÜNLÜ G, GÜNGÖR . ANTENATAL DÖNEMDE MOBİL SAĞLIK HİZMETLERİ. İnönü Üniversitesi Sağlık Hizmetleri Meslek Yüksek Okulu Dergisi 2020;8(3):919
    CrossRef
  35. Khasawneh EA, Gosling CM, Williams BA. Ten-Year Comparison of Medication Complications Rates in Public and Private Hospitals in Victoria, Australia. Hospital Topics 2021;99(1):37
    CrossRef
  36. Magee LA, Bone J, Owasil SB, Singer J, Lee T, Bellad MB, Goudar SS, Logan AG, Macuacua SE, Mallapur AA, Nathan HL, Qureshi RN, Sevene E, Shennan AH, Valá A, Vidler M, Bhutta ZA, von Dadelszen P, Macete E, Munguambe K, Sacoor C, Boene H, Amose F, Pires R, Nhamirre Z, Macamo M, Chiaú R, Matavele A, Vilanculo F, Nhancolo A, Cutana S, Mandlate E, Bique C, Mocumbi S, Gonçálves E, Maculuve S, Biz AI, Mulungo D, Augusto O, Filimone P, Nobela V, Tchavana C, Nkumbula C, Hoodbhoy Z, Raza F, Sheikh S, Memon J, Ahmed I, Hussain A, Charantimath US, Katageri GM, Kavi AJ, Revankar AP, Ramdurg UY, Bannale SG, Dhamanekar VB, Mungarwadi GI, Honnungar NV, Kodkany BS, Joshi AM, Kudachi US, Mastiholi SS, Karadiguddi CC, Kengapur GS, Kamble NA, Chougala KS, Dunsmuir DT, Drebit SK, Kariya C, Woo Kinshella M, Lee T, Li J, Lui M, Payne BA, Sawchuck D, Sharma S, Tu DK, Ukah UV, Ansermino JM, Betrán AP, Derman R, Dharamsi S, Donnay F, Drebit S, Dumont G, Engelbrecht SM, Fillipi V, Firoz T, Grobman W, Knight M, Langer A, Lewin S, Lewis G, Mitton C, Schuurman N, Thornton J, Wong H, Adetoro OO, Sotunsa JO, Byaruhanga RN, Darlow B, Hutton E, Merialdi M, Thabane L. Pregnancy Outcomes and Blood Pressure Visit-to-Visit Variability and Level in Three Less-Developed Countries. Hypertension 2021;77(5):1714
    CrossRef
  37. von Dadelszen P, Vidler M, Tsigas E, Magee LA. Management of Preeclampsia in Low- and Middle-Income Countries: Lessons to Date, and Questions Arising, from the PRE-EMPT and Related Initiatives. Maternal-Fetal Medicine 2021;3(2):136
    CrossRef
  38. Boene H, Valá A, Kinshella MW, La M, Sharma S, Vidler M, Magee LA, von Dadelszen P, Sevene E, Munguambe K, Payne BA. Implementation of the PIERS on the Move mHealth Application From the Perspective of Community Health Workers and Nurses in Rural Mozambique. Frontiers in Global Women's Health 2021;2
    CrossRef
  39. Kinshella MW, Sheikh S, Bawani S, La M, Sharma S, Vidler M, Magee LA, Dadelszen PV, Bhutta Z, Qureshi RN, Payne BA. “Now You Have Become Doctors”: Lady Health Workers' Experiences Implementing an mHealth Application in Rural Pakistan. Frontiers in Global Women's Health 2021;2
    CrossRef
  40. Adepoju AA, Vidler M, Akadri AA, Jaiyesimi E, Nwankpa CC, Odubena OO, Sharma S, Li L, Tu D, Drebit S, Payne B, Akeju DO, Bhutta Z, Magee LA, Nathan HL, Shennan AH, Sotunsa J, Adetoro OO, von Dadelszen P, Dada OA, Soyinka O. The ability and safety of community-based health workers to safely initiate lifesaving therapies for pre-eclampsia in Ogun State, Nigeria: An analysis of 260 community treatments with MgSO4 and/or methyldopa. Pregnancy Hypertension 2021;25:179
    CrossRef
  41. Fang Y, Huang Y. Comparison of the usability and flow experience of an exercise promotion virtual reality programme for different age groups. Behaviour & Information Technology 2021;40(12):1250
    CrossRef
  42. Bone JN, Magee LA, Singer J, Nathan H, Qureshi RN, Sacoor C, Sevene E, Shennan A, Bellad MB, Goudar SS, Mallapur AA, Munguambe K, Vidler M, Bhutta ZA, von Dadelszen P, Woo Kinshella M, Wong H, Vilanculo F, Vala A, Ukah UV, Tu DK, Thabane L, Tchavana C, Thornton J, Sotunsa JO, Sheikh S, Sharma S, Schuurman N, Sawchuck D, Revankar AP, Raza F, Ramdurg UY, Pires R, Payne BA, Nobela V, Nkumbula C, Nhancolo A, Nhamirre Z, Mungarwadi GI, Mulungo D, Mocumbi S, Mitton C, Merialdi M, Memon J, Matavele A, Mastiholi SS, Mandlate E, Maculuve S, Macuacua S, Macete E, Macamo M, Lui M, Li J, Lewis G, Lewin S, Lee T, Langer A, Kudachi US, Kodkany BS, Knight M, Kengapur GS, Kavi AJ, Katageri GM, Kariya C, Karadiguddi CC, Kamble NA, Joshi AM, Hutton E, Hussain A, Hoodbhoy Z, Honnungar NV, Grobman W, Gonçálves E, Firoz T, Fillipi V, Filimone P, Engelbrecht SM, Dunsmuir DT, Dumont G, Drebit SK, Donnay F, Dharamsi S, Dhamanekar VB, Derman R, Darlow B, Cutana S, Chougala KS, Chiaú R, Charantimath US, Byaruhanga RN, Boene H, Biz AI, Bique C, Betrán AP, Bannale SG, Augusto O, Ansermino JM, Amose F, Ahmed I, Adetoro OO. Blood pressure thresholds in pregnancy for identifying maternal and infant risk: a secondary analysis of Community-Level Interventions for Pre-eclampsia (CLIP) trial data. The Lancet Global Health 2021;9(8):e1119
    CrossRef
  43. Till S, Mkhize M, Farao J, Shandu LD, Muthelo L, Coleman TL, Mbombi M, Bopape M, Klingberg S, van Heerden A, Mothiba T, Densmore M, Verdezoto Dias NX. Digital Health Technologies for Maternal and Child Health in Africa and Other Low- and Middle-Income Countries: Cross-disciplinary Scoping Review With Stakeholder Consultation. Journal of Medical Internet Research 2023;25:e42161
    CrossRef
  44. Dougherty K, Hobensack M, Bakken S. Scoping review of health information technology usability methods leveraged in Africa. Journal of the American Medical Informatics Association 2022;
    CrossRef
  45. Kavi A, Kinshella MW, Ramadurg UY, Charantimath U, Katageri GM, Karadiguddi CC, Honnungar NV, Bannale SG, Mungarwadi GI, Bone JN, Vidler M, Magee L, Mallapur A, Goudar SS, Bellad M, Derman R, von Dadelszen P, Working Group TCI. Community engagement for birth preparedness and complication readiness in the Community Level Interventions for Pre-eclampsia (CLIP) Trial in India: a mixed-method evaluation. BMJ Open 2022;12(12):e060593
    CrossRef
  46. Feldman AG, Moore S, Bull S, Morris MA, Wilson K, Bell C, Collins MM, Denize KM, Kempe A. A Smartphone App to Increase Immunizations in the Pediatric Solid Organ Transplant Population: Development and Initial Usability Study. JMIR Formative Research 2022;6(1):e32273
    CrossRef
  47. Heestermans T, Payne B, Kayode GA, Amoakoh-Coleman M, Schuit E, Rijken MJ, Klipstein-Grobusch K, Bloemenkamp K, Grobbee DE, Browne JL. Prognostic models for adverse pregnancy outcomes in low-income and middle-income countries: a systematic review. BMJ Global Health 2019;4(5):e001759
    CrossRef
  48. Liu H, Cai X, Liu J, Zhang F, He A, Li R. The MEG3 lncRNA promotes trophoblastic cell growth and invasiveness in preeclampsia by acting as a sponge for miR-21, which regulates BMPR2 levels. European Journal of Histochemistry 2021;65(4)
    CrossRef
  49. Charanthimath U, Katageri G, Kinshella MW, Mallapur A, Goudar S, Ramadurg U, Vidler M, Sharma S, Derman R, Magee LA, Dadelszen PV, Bellad M, Payne BA. Community Health Worker Evaluation of Implementing an mHealth Application to Support Maternal Health Care in Rural India. Frontiers in Global Women's Health 2021;2
    CrossRef
  50. Kinshella MW, Boene H, Sevene E, Valá A, Sharma S, Vidler M, Magee LA, von Dadelszen P, Munguambe K, Payne BA. How Gender Influenced the Experience of Using a mHealth Intervention in Rural Mozambique: Secondary Qualitative Analysis of Community Health Worker Survey Data. Frontiers in Global Women's Health 2022;3
    CrossRef
  51. Shahil Feroz A, Afzal N, Seto E. Exploring digital health interventions for pregnant women at high risk for pre-eclampsia and eclampsia in low-income and-middle-income countries: a scoping review. BMJ Open 2022;12(2):e056130
    CrossRef
  52. Bachmann N, Tripathi S, Brunner M, Jodlbauer H. The Contribution of Data-Driven Technologies in Achieving the Sustainable Development Goals. Sustainability 2022;14(5):2497
    CrossRef
  53. von Dadelszen P, Bone JN, Sandhu A, Ansermino JM, Qureshi RN, Sacoor C, Sevene E, Li J, Vidler M, Bellad MB, Bhutta ZA, Dunsmuir DT, Goudar SS, Mallapur AA, Munguambe K, Dumont GA, Magee LA. Choosing blood pressure thresholds to inform pregnancy care in the community: An analysis of cluster trials. BJOG: An International Journal of Obstetrics & Gynaecology 2023;130(10):1275
    CrossRef
  54. Choudhury A, Shahsavar Y, Sarkar K, Choudhury MM, Nimbarte AD. Exploring Perceptions and Needs of Mobile Health Interventions for Nutrition, Anemia, and Preeclampsia among Pregnant Women in Underprivileged Indian Communities: A Cross-Sectional Survey. Nutrients 2023;15(17):3699
    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
  2. González-Fernández D, Koski KG, Bhutta Z. Encyclopedia of Human Nutrition. 2023. :185
    CrossRef