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

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

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

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

Journals

  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 View
  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 View
  3. von Dadelszen P, Magee L. Strategies to reduce the global burden of direct maternal deaths. Obstetric Medicine 2017;10(1):5 View
  4. Nagraj S, Kennedy S, Norton R, Jha V, Praveen D, Hinton L, Hirst J. 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 View
  5. Qureshi R, Sheikh S, Hoodbhoy Z, Sharma S, Vidler M, Payne B, Ahmed I, Mark Ansermino J, Bone J, Dunsmuir D, Lee T, Li J, Nathan H, Shennan A, Singer J, Tu D, Wong H, Magee L, von Dadelszen P, Bhutta Z. Community-level interventions for pre-eclampsia (CLIP) in Pakistan: A cluster randomised controlled trial. Pregnancy Hypertension 2020;22:109 View
  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 D, Lee T, Li J, Macete E, Singer J, Wong H, Nathan H, Payne B, Sidat M, Shennan A, Tchavana C, Tu D, Vidler M, Bhutta Z, Magee L, von Dadelszen P. Community-level interventions for pre-eclampsia (CLIP) in Mozambique: A cluster randomised controlled trial. Pregnancy Hypertension 2020;21:96 View
  7. Zhang J, Tüshaus L, Nuño Martínez N, Moreo M, Verastegui H, Hartinger S, 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 View
  8. Dick S, O’Connor Y, Heavin C. Approaches to Mobile Health Evaluation: A Comparative Study. Information Systems Management 2020;37(1):75 View
  9. Purswani J, Dicker A, Champ C, Cantor M, Ohri N. Big Data From Small Devices: The Future of Smartphones in Oncology. Seminars in Radiation Oncology 2019;29(4):338 View
  10. von Dadelszen P, Bhutta Z, Sharma S, Bone J, Singer J, Wong H, Bellad M, Goudar S, Lee T, Li J, Mallapur A, Munguambe K, Payne B, Qureshi R, Sacoor C, Sevene E, Vidler M, Magee L, Macete E, Boene H, Amose F, Augusto O, Bique C, Biz A, 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 G, Charantimath U, Bannale S, Chougala K, Dhamanekar V, Honnungar N, Joshi A, Kamble N, Karadiguddi C, Kavi A, Kengapur G, Kodkany B, Kudachi U, Mastiholi S, Mungarwadi G, Ramdurg U, Revankar A, Drebit S, Dunsmuir D, Kariya C, Lui M, Sawchuck D, Tu D, Ukah U, Woo Kinshella M, Ansermino J, Betrán A, Derman R, Dharamsi S, Donnay F, Dumont G, Engelbrecht S, 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 J. 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 View
  11. Khanum S, De Souza M, Sayyed A, Naz N. Designing a Pregnancy Care Network for Pregnant Women. Technologies 2017;5(4):80 View
  12. Alexander J, Minhajuddin A, Joshi G. 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 View
  13. White B, Martin A, White J, Burns S, Maycock B, Giglia R, Scott J. 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 View
  14. Firoz T, Makanga P, Nathan H, Payne B, Magee L. Reverse innovation in maternal health. Obstetric Medicine 2017;10(3):113 View
  15. Dunsmuir D, Wu H, Sun T, West N, Lauder G, Görges M, Ansermino J. A Postoperative Pain Management Mobile App (Panda) for Children at Home After Discharge: Usability and Feasibility. JMIR Perioperative Medicine 2019;2(2):e12305 View
  16. Chiu L, Sun T, Ree R, Dunsmuir D, Dotto A, Ansermino J, 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 View
  17. Haddad S, Souza R, Cecatti J. 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 View
  18. Hankins J, Shah N, DiMartino L, Brambilla D, Fernandez M, Gibson R, Gordeuk V, Lottenberg R, Kutlar A, Melvin C, Simon J, Wun T, Treadwell M, Calhoun C, Baumann A, Potter M, 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 View
  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 View
  20. von Dadelszen P, Magee L. Preventing deaths due to the hypertensive disorders of pregnancy. Best Practice & Research Clinical Obstetrics & Gynaecology 2016;36:83 View
  21. Carter J, Sandall J, Shennan A, Tribe R. Mobile phone apps for clinical decision support in pregnancy: a scoping review. BMC Medical Informatics and Decision Making 2019;19(1) View
  22. Rivera-Romero O, Olmo A, Muñoz R, Stiefel P, Miranda M, Beltrán L. Mobile Health Solutions for Hypertensive Disorders in Pregnancy: Scoping Literature Review. JMIR mHealth and uHealth 2018;6(5):e130 View
  23. Chib A, Lin S. Theoretical Advancements in mHealth: A Systematic Review of Mobile Apps. Journal of Health Communication 2018;23(10-11):909 View
  24. von Dadelszen P, Flint-O’Kane M, Poston L, Craik R, Russell D, Tribe R, d’Alessandro U, Roca A, Jah H, Temmerman M, Koech Etyang A, Sevene E, Chin P, Lawn J, Blencowe H, Sandall J, Salisbury T, Barratt B, Shennan A, Makanga P, Magee L. 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) View
  25. Edwards E, Caton H, Lumsden J, Rivas C, Steed L, Pirunsarn Y, Jumbe S, Newby C, Shenvi A, Mazumdar S, Smith J, Greenhill D, Griffiths C, Walton R. Creating a Theoretically Grounded, Gamified Health App: Lessons From Developing the Cigbreak Smoking Cessation Mobile Phone Game. JMIR Serious Games 2018;6(4):e10252 View
  26. Abejirinde I, 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 View
  27. Sun T, Dunsmuir D, Miao I, Devoy G, West N, Görges M, Lauder G, Ansermino J. 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 View
  28. Fang Y, Lin C. The Usability Testing of VR Interface for Tourism Apps. Applied Sciences 2019;9(16):3215 View
  29. English L, Dunsmuir D, Kumbakumba E, Ansermino J, Larson C, Lester R, Barigye C, Ndamira A, Kabakyenga J, Wiens M. 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 View
  30. Magee L, Sharma S, Nathan H, Adetoro O, Bellad M, Goudar S, Macuacua S, Mallapur A, Qureshi R, Sevene E, Sotunsa J, Valá A, Lee T, Payne B, Vidler M, Shennan A, Bhutta Z, von Dadelszen P, Myers J. The incidence of pregnancy hypertension in India, Pakistan, Mozambique, and Nigeria: A prospective population-level analysis. PLOS Medicine 2019;16(4):e1002783 View
  31. Bellad M, Goudar S, Mallapur A, Sharma S, Bone J, Charantimath U, Katageri G, Ramadurg U, Mark Ansermino J, Derman R, Dunsmuir D, Honnungar N, Karadiguddi C, Kavi A, Kodkany B, Lee T, Li J, Nathan H, Payne B, Revankar A, Shennan A, Singer J, Tu D, Vidler M, Wong H, Bhutta Z, Magee L, von Dadelszen P. Community level interventions for pre-eclampsia (CLIP) in India: A cluster randomised controlled trial. Pregnancy Hypertension 2020;21:166 View
  32. Ryan N, Vieira D, Goffman D, Bloch E, Akaba G, D’mello B, 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 View
  33. Davidson L, Boland M. Towards deep phenotyping pregnancy: a systematic review on artificial intelligence and machine learning methods to improve pregnancy outcomes. Briefings in Bioinformatics 2021;22(5) View
  34. ÜNLÜ G, GÜNGÖR İ. ANTENATAL DÖNEMDE MOBİL SAĞLIK HİZMETLERİ. İnönü Üniversitesi Sağlık Hizmetleri Meslek Yüksek Okulu Dergisi 2020;8(3):919 View
  35. Khasawneh E, Gosling C, Williams B. Ten-Year Comparison of Medication Complications Rates in Public and Private Hospitals in Victoria, Australia. Hospital Topics 2021;99(1):37 View
  36. Magee L, Bone J, Owasil S, Singer J, Lee T, Bellad M, Goudar S, Logan A, Macuacua S, Mallapur A, Nathan H, Qureshi R, Sevene E, Shennan A, Valá A, Vidler M, Bhutta Z, 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 A, 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 U, Katageri G, Kavi A, Revankar A, Ramdurg U, Bannale S, Dhamanekar V, Mungarwadi G, Honnungar N, Kodkany B, Joshi A, Kudachi U, Mastiholi S, Karadiguddi C, Kengapur G, Kamble N, Chougala K, Dunsmuir D, Drebit S, Kariya C, Woo Kinshella M, Lee T, Li J, Lui M, Payne B, Sawchuck D, Sharma S, Tu D, Ukah U, Ansermino J, Betrán A, Derman R, Dharamsi S, Donnay F, Drebit S, Dumont G, Engelbrecht S, Fillipi V, Firoz T, Grobman W, Knight M, Langer A, Lewin S, Lewis G, Mitton C, Schuurman N, Thornton J, Wong H, Adetoro O, Sotunsa J, Byaruhanga R, 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 View
  37. von Dadelszen P, Vidler M, Tsigas E, Magee L. 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 View
  38. Boene H, Valá A, Kinshella M, La M, Sharma S, Vidler M, Magee L, von Dadelszen P, Sevene E, Munguambe K, Payne B. 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 View
  39. Kinshella M, Sheikh S, Bawani S, La M, Sharma S, Vidler M, Magee L, Dadelszen P, Bhutta Z, Qureshi R, Payne B. “Now You Have Become Doctors”: Lady Health Workers' Experiences Implementing an mHealth Application in Rural Pakistan. Frontiers in Global Women's Health 2021;2 View
  40. Adepoju A, Vidler M, Akadri A, Jaiyesimi E, Nwankpa C, Odubena O, Sharma S, Li L, Tu D, Drebit S, Payne B, Akeju D, Bhutta Z, Magee L, Nathan H, Shennan A, Sotunsa J, Adetoro O, von Dadelszen P, Dada O, 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 View
  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 View
  42. Bone J, Magee L, Singer J, Nathan H, Qureshi R, Sacoor C, Sevene E, Shennan A, Bellad M, Goudar S, Mallapur A, Munguambe K, Vidler M, Bhutta Z, von Dadelszen P, Woo Kinshella M, Wong H, Vilanculo F, Vala A, Ukah U, Tu D, Thabane L, Tchavana C, Thornton J, Sotunsa J, Sheikh S, Sharma S, Schuurman N, Sawchuck D, Revankar A, Raza F, Ramdurg U, Pires R, Payne B, Nobela V, Nkumbula C, Nhancolo A, Nhamirre Z, Mungarwadi G, Mulungo D, Mocumbi S, Mitton C, Merialdi M, Memon J, Matavele A, Mastiholi S, Mandlate E, Maculuve S, Macuacua S, Macete E, Macamo M, Lui M, Li J, Lewis G, Lewin S, Lee T, Langer A, Kudachi U, Kodkany B, Knight M, Kengapur G, Kavi A, Katageri G, Kariya C, Karadiguddi C, Kamble N, Joshi A, Hutton E, Hussain A, Hoodbhoy Z, Honnungar N, Grobman W, Gonçálves E, Firoz T, Fillipi V, Filimone P, Engelbrecht S, Dunsmuir D, Dumont G, Drebit S, Donnay F, Dharamsi S, Dhamanekar V, Derman R, Darlow B, Cutana S, Chougala K, Chiaú R, Charantimath U, Byaruhanga R, Boene H, Biz A, Bique C, Betrán A, Bannale S, Augusto O, Ansermino J, Amose F, Ahmed I, Adetoro O. 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 View
  43. Till S, Mkhize M, Farao J, Shandu L, Muthelo L, Coleman T, Mbombi M, Bopape M, Klingberg S, van Heerden A, Mothiba T, Densmore M, Verdezoto Dias N. 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 View
  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 View
  45. Kavi A, Kinshella M, Ramadurg U, Charantimath U, Katageri G, Karadiguddi C, Honnungar N, Bannale S, Mungarwadi G, Bone J, Vidler M, Magee L, Mallapur A, Goudar S, Bellad M, Derman R, von Dadelszen P, Working Group T. 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 View
  46. Feldman A, Moore S, Bull S, Morris M, Wilson K, Bell C, Collins M, Denize K, 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 View
  47. Heestermans T, Payne B, Kayode G, Amoakoh-Coleman M, Schuit E, Rijken M, Klipstein-Grobusch K, Bloemenkamp K, Grobbee D, Browne J. Prognostic models for adverse pregnancy outcomes in low-income and middle-income countries: a systematic review. BMJ Global Health 2019;4(5):e001759 View
  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) View
  49. Charanthimath U, Katageri G, Kinshella M, Mallapur A, Goudar S, Ramadurg U, Vidler M, Sharma S, Derman R, Magee L, Dadelszen P, Bellad M, Payne B. 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 View
  50. Kinshella M, Boene H, Sevene E, Valá A, Sharma S, Vidler M, Magee L, von Dadelszen P, Munguambe K, Payne B. 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 View
  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 View
  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 View
  53. von Dadelszen P, Bone J, Sandhu A, Ansermino J, Qureshi R, Sacoor C, Sevene E, Li J, Vidler M, Bellad M, Bhutta Z, Dunsmuir D, Goudar S, Mallapur A, Munguambe K, Dumont G, Magee L. 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 View
  54. Choudhury A, Shahsavar Y, Sarkar K, Choudhury M, Nimbarte A. 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 View

Books/Policy Documents

  1. Chiou W, Lai S, Huang D. Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Healthcare Applications. View
  2. González-Fernández D, Koski K, Bhutta Z. Encyclopedia of Human Nutrition. View