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

mHealth for Wellness, Behavior Change and Prevention (2922) Consumer & Patient Education and Shared-Decision Making (695) mHealth in a Clinical Setting (624) Pregnancy Information, Education and Lifestyle Interventions (304)

Published on in Vol 5, No 4 (2017): April

Development and Testing of the MyHealthyPregnancy App: A Behavioral Decision Research-Based Tool for Assessing and Communicating Pregnancy Risk

Development and Testing of the MyHealthyPregnancy App: A Behavioral Decision Research-Based Tool for Assessing and Communicating Pregnancy Risk

Development and Testing of the MyHealthyPregnancy App: A Behavioral Decision Research-Based Tool for Assessing and Communicating Pregnancy Risk

Authors of this article:

Tamar Krishnamurti1 Author Orcid Image ;   Alexander L Davis1 Author Orcid Image ;   Gabrielle Wong-Parodi1 Author Orcid Image ;   Baruch Fischhoff1 Author Orcid Image ;   Yoel Sadovsky2, 3 Author Orcid Image ;   Hyagriv N Simhan2 Author Orcid Image
Article Authors Cited by (47) Tweetations (13) Metrics

Journals

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  4. van den Heuvel J, Groenhof T, Veerbeek J, van Solinge W, Lely A, Franx A, Bekker M. eHealth as the Next-Generation Perinatal Care: An Overview of the Literature. Journal of Medical Internet Research 2018;20(6):e202 View
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  7. Meedya S, Win K, Yeatman H, Fahy K, Walton K, Burgess L, McGregor D, Shojaei P, Wheatley E, Halcomb E. Developing and testing a mobile application for breastfeeding support: The Milky Way application. Women and Birth 2021;34(2):e196 View
  8. Bogaerts A, Bijlholt M, Mertens L, Braeken M, Jacobs B, Vandenberghe B, Ameye L, Devlieger R. Development and Field Evaluation of the INTER-ACT App, a Pregnancy and Interpregnancy Coaching App to Reduce Maternal Overweight and Obesity: Mixed Methods Design. JMIR Formative Research 2020;4(2):e16090 View
  9. Krishnamurti T, Simhan H, Borrero S. Competing demands in postpartum care: a national survey of U.S. providers’ priorities and practice. BMC Health Services Research 2020;20(1) View
  10. Moraes Carrilho J, Oliveira I, Santos D, Osanan G, Cruz-Correia R, Reis Z. Pregnant Users’ Perceptions of the Birth Plan Interface in the “My Prenatal Care” App: Observational Validation Study. JMIR Formative Research 2019;3(1):e11374 View
  11. Hussain T, Smith P, Yee L. Mobile Phone–Based Behavioral Interventions in Pregnancy to Promote Maternal and Fetal Health in High-Income Countries: Systematic Review. JMIR mHealth and uHealth 2020;8(5):e15111 View
  12. Arbour M, Stec M. Mobile Applications for Women's Health and Midwifery Care: A Pocket Reference for the 21st Century. Journal of Midwifery & Women's Health 2018;63(3):330 View
  13. Wang G, Zhou S, Rezaei S, Liu X, Huang A. An Ambulatory Blood Pressure Monitor Mobile Health System for Early Warning for Stroke Risk: Longitudinal Observational Study. JMIR mHealth and uHealth 2019;7(10):e14926 View
  14. ÜNLÜ G, GÜNGÖR İ. ANTENATAL DÖNEMDE MOBİL SAĞLIK HİZMETLERİ. İnönü Üniversitesi Sağlık Hizmetleri Meslek Yüksek Okulu Dergisi 2020;8(3):919 View
  15. Iyawa G, Dansharif A, Khan A. Mobile apps for self-management in pregnancy: a systematic review. Health and Technology 2021;11(2):283 View
  16. Krishnamurti T, Davis A, Quinn B, Castillo A, Martin K, Simhan H. Mobile Remote Monitoring of Intimate Partner Violence Among Pregnant Patients During the COVID-19 Shelter-In-Place Order: Quality Improvement Pilot Study. Journal of Medical Internet Research 2021;23(2):e22790 View
  17. Jani S, Nguyen A, Abraham Z, Scala M, Blumenfeld Y, Morton J, Nguyen M, Ma J, Hsing J, Moiwa-Grant M, Profit J, Wang C. PretermConnect: Leveraging mobile technology to mitigate social disadvantage in the NICU and beyond. Seminars in Perinatology 2021;45(4):151413 View
  18. Bjelica D, Bjelica A, Despotović-Zrakić M, Radenković B, Barać D, Đogatović M. Designing an IT Ecosystem for Pregnancy Care Management Based on Pervasive Technologies. Healthcare 2020;9(1):12 View
  19. Dansharif A, Iyawa G, Owoseni A, Iyawa R. mHealth for Self-Management in Pregnancy: Perceptions of Women in Low-Resource Settings. Procedia Computer Science 2021;181:738 View
  20. Tucker L, Villagomez A, Krishnamurti T. Comprehensively addressing postpartum maternal health: a content and image review of commercially available mobile health apps. BMC Pregnancy and Childbirth 2021;21(1) View
  21. Nwolise C, Carey N, Shawe J. Preconception and Diabetes Information (PADI) App for Women with Pregestational Diabetes: a Feasibility and Acceptability Study. Journal of Healthcare Informatics Research 2021;5(4):446 View
  22. Hall J, Hiebert B, Facca D, Donelle L. ‘Putting all my eggs into the app’: Self, relational and systemic surveillance of mothers’ use of digital technologies during the transition to parenting. DIGITAL HEALTH 2023;9 View
  23. Krishnamurti T, Davis A, Rodriguez S, Hayani L, Bernard M, Simhan H. Use of a Smartphone App to Explore Potential Underuse of Prophylactic Aspirin for Preeclampsia. JAMA Network Open 2021;4(10):e2130804 View
  24. Carrandi A, Hu Y, Karger S, Eddy K, Vogel J, Harrison C, Callander E. Systematic review on the cost and cost-effectiveness of mHealth interventions supporting women during pregnancy. Women and Birth 2023;36(1):3 View
  25. Krishnamurti T, Birru Talabi M, Callegari L, Kazmerski T, Borrero S. A Framework for Femtech: Guiding Principles for Developing Digital Reproductive Health Tools in the United States. Journal of Medical Internet Research 2022;24(4):e36338 View
  26. Sadeghi M, Kahouei M, Pahlevanynejad S, Valinejadi A, Momeni M, Kermani F, Seddighi H. Mobile applications for prematurity: a systematic review protocol. BMJ Paediatrics Open 2021;5(1):e001183 View
  27. Burns S, Krishnamurti T, Doan T, Kahn J, Ray K. Parent Care-Seeking Decisions for Pediatric Acute Respiratory Tract Infections in the United States: A Mental Models Approach. Academic Pediatrics 2023;23(7):1326 View
  28. Krishnamurti T, Allen K, Hayani L, Rodriguez S, Davis A. Identification of maternal depression risk from natural language collected in a mobile health app. Procedia Computer Science 2022;206:132 View
  29. Alexander K, Clary‐Muronda V. A scoping review of interventions seeking to improve aspects of patient–provider relationships involving Black pregnant and post‐partum people. Journal of Advanced Nursing 2023;79(5):2014 View
  30. Castillo A, Davis A, Krishnamurti T. Using implementation science frameworks to translate and adapt a pregnancy app for an emerging Latino community. BMC Women's Health 2022;22(1) View
  31. Li J, Silvera-Tawil D, Varnfield M, Hussain M, Math V. Users’ Perceptions Toward mHealth Technologies for Health and Well-being Monitoring in Pregnancy Care: Qualitative Interview Study. JMIR Formative Research 2021;5(12):e28628 View
  32. Souza F, Santos W, Dantas J, Sousa H, Moreira O, Silva R. Desenvolvimento de aplicativo móvel para o acompanhamento pré-natal e validação de conteúdo. Acta Paulista de Enfermagem 2022;35 View
  33. Eisner E, Lewis S, Stockton-Powdrell C, Agass R, Whelan P, Tower C. Digital screening for postnatal depression: mixed methods proof-of-concept study. BMC Pregnancy and Childbirth 2022;22(1) View
  34. Persis J, Kathirvel S, Chopra S, Singh A. Effectiveness of mHealth‐based educational interventions to improve self‐care during pregnancy: A pragmatic randomized controlled trial from northern India. International Journal of Gynecology & Obstetrics 2023;163(1):177 View
  35. Auxier J, Bender M, Hakojärvi H, Axelin A. Patient engagement practice within perinatal eHealth: A scoping review. Nursing Open 2023;10(8):4971 View
  36. Rivera-Romero O, Gabarron E, Ropero J, Denecke K. Designing personalised mHealth solutions: An overview. Journal of Biomedical Informatics 2023;146:104500 View
  37. Raab R, Geyer K, Zagar S, Hauner H. App-Supported Lifestyle Interventions in Pregnancy to Manage Gestational Weight Gain and Prevent Gestational Diabetes: Scoping Review. Journal of Medical Internet Research 2023;25:e48853 View
  38. Walec M, Ślusarska B, Nowicki G. Do mobile health applications supporting self-monitoring during pregnancy strengthen the sense of security, life satisfaction, and social support among pregnant women? – comparative analysis. Pielegniarstwo XXI wieku / Nursing in the 21st Century 2023;22(4):254 View
  39. Mazaheri Habibi M, Moghbeli F, Langarizadeh M, Fatemi Aghda S. Mobile health apps for pregnant women usability and quality rating scales: a systematic review. BMC Pregnancy and Childbirth 2024;24(1) View
  40. Krishnamurti T, Rodriguez S, Wilder B, Gopalan P, Simhan H. Predicting first time depression onset in pregnancy: applying machine learning methods to patient-reported data. Archives of Women's Mental Health 2024;27(6):1019 View
  41. Smit A, Al-Dhahir I, Schiphof-Godart L, Breeman L, Evers A, Joosten K. Investigating eHealth Lifestyle Interventions for Vulnerable Pregnant Women: Scoping Review of Facilitators and Barriers. Journal of Medical Internet Research 2024;26:e54366 View
  42. Krishnamurti T, Moon R, Richichi R, Berger R. Integrating Infant Safe Sleep and Breastfeeding Education into an App: A Novel Approach to Reaching High-Risk Populations (Preprint). JMIR Pediatrics and Parenting 2024 View

Books/Policy Documents

  1. Meedya S, Sheikh M, Win K, Halcomb E. Persuasive Technology: Development of Persuasive and Behavior Change Support Systems. View
  2. Krishnamurti T, Bruine de Bruin W. Psychological Perspectives on Risk and Risk Analysis. View
  3. Detels R, Karim Q, Baum F, Li L, Leyland A, Fischhoff B, Krishnamurti T. Oxford Textbook of Global Public Health. View