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

Methods and New Tools in Mental Health Research (463) Special Issue on Computing and Mental Health (2018) (33) Design and Formative Evaluation of Mobile Apps (706) mHealth for Data Collection and Research (981) Users' and Patients' Needs for Mental Health Services (409) Perinatal Depression; Postpartum Depression; PPD (96) Perinatal Education for Parents (224) Pregnancy Information, Education and Lifestyle Interventions (304)

Published on in Vol 5, No 4 (2018): Oct-Dec

A Mobile App for the Self-Report of Psychological Well-Being During Pregnancy (BrightSelf): Qualitative Design Study

A Mobile App for the Self-Report of Psychological Well-Being During Pregnancy (BrightSelf): Qualitative Design Study

A Mobile App for the Self-Report of Psychological Well-Being During Pregnancy (BrightSelf): Qualitative Design Study

Authors of this article:

Kevin Doherty1 Author Orcid Image ;   Marguerite Barry2 Author Orcid Image ;   José Marcano-Belisario3 Author Orcid Image ;   Bérenger Arnaud1 Author Orcid Image ;   Cecily Morrison4 Author Orcid Image ;   Josip Car3 Author Orcid Image ;   Gavin Doherty1 Author Orcid Image
Article Authors Cited by (33) Tweetations (12) Metrics

Journals

  1. Hussain-Shamsy N, Shah A, Vigod S, Zaheer J, Seto E. Mobile Health for Perinatal Depression and Anxiety: Scoping Review. Journal of Medical Internet Research 2020;22(4):e17011 View
  2. Doherty K, Balaskas A, Doherty G. The Design of Ecological Momentary Assessment Technologies. Interacting with Computers 2020;32(3):257 View
  3. Doherty K, Barry M, Belisario J, Morrison C, Car J, Doherty G. Personal information and public health: Design tensions in sharing and monitoring wellbeing in pregnancy. International Journal of Human-Computer Studies 2020;135:102373 View
  4. Van Til K, McInnis M, Cochran A. A comparative study of engagement in mobile and wearable health monitoring for bipolar disorder. Bipolar Disorders 2020;22(2):182 View
  5. Buitenweg D, Bongers I, van de Mheen D, van Oers H, van Nieuwenhuizen C. Cocreative Development of the QoL-ME: A Visual and Personalized Quality of Life Assessment App for People With Severe Mental Health Problems. JMIR Mental Health 2019;6(3):e12378 View
  6. Otiono J, Olaosebikan M, Shaer O, Nov O, Ball M. Understanding Users Information Needs and Collaborative Sensemaking of Microbiome Data. Proceedings of the ACM on Human-Computer Interaction 2019;3(CSCW):1 View
  7. Dosani A, Arora H, Mazmudar S. mHealth and Perinatal Depression in Low-and Middle-Income Countries: A Scoping Review of the Literature. International Journal of Environmental Research and Public Health 2020;17(20):7679 View
  8. Carissoli C, Gasparri D, Riva G, Villani D. Mobile well-being in pregnancy: suggestions from a quasi-experimental controlled study. Behaviour & Information Technology 2022;41(8):1639 View
  9. Lloyd N, Kenny A, Hyett N. Evaluating health service outcomes of public involvement in health service design in high-income countries: a systematic review. BMC Health Services Research 2021;21(1) View
  10. Garaialde D, Cox A, Cowan B. Designing gamified rewards to encourage repeated app selection: Effect of reward placement. International Journal of Human-Computer Studies 2021;153:102661 View
  11. Zingg A, Singh T, Myneni S. Analysis of Online Peripartum Depression Communities: Application of Multilabel Text Classification Techniques to Inform Digitally-Mediated Prevention and Management. Frontiers in Digital Health 2021;3 View
  12. Bao H, Lee E. Examining the antecedents and health outcomes of health apps and wearables use: an integration of the technology acceptance model and communication inequality. Behaviour & Information Technology 2024;43(4):695 View
  13. Zhao L, Chen J, Lan L, Deng N, Liao Y, Yue L, Chen I, Wen S, Xie R. Effectiveness of Telehealth Interventions for Women With Postpartum Depression: Systematic Review and Meta-analysis. JMIR mHealth and uHealth 2021;9(10):e32544 View
  14. Haldar S, Studd H, Wong N, Mohr D, Reddy M, Miller E. Collaboration Challenges and Technology Opportunities at the Intersection of Perinatal and Mental Health Journeys. Proceedings of the ACM on Human-Computer Interaction 2022;6(CSCW2):1 View
  15. Chen A, Väyrynen K, Leskelä R, Torkki P, Heinonen S, Tekay A, Acharya G. The acceptability of implementing patient‐reported measures in routine maternity care: A systematic review. Acta Obstetricia et Gynecologica Scandinavica 2023;102(4):406 View
  16. Vial S, Boudhraâ S, Dumont M. Human-Centered Design Approaches in Digital Mental Health Interventions: Exploratory Mapping Review. JMIR Mental Health 2022;9(6):e35591 View
  17. 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
  18. Smits M, Kim C, van Goor H, Ludden G. From Digital Health to Digital Well-being: Systematic Scoping Review. Journal of Medical Internet Research 2022;24(4):e33787 View
  19. Zingg A, Singh T, Franklin A, Ross A, Selvaraj S, Refuerzo J, Myneni S. Digital health technologies for peripartum depression management among low-socioeconomic populations: perspectives from patients, providers, and social media channels. BMC Pregnancy and Childbirth 2023;23(1) View
  20. Inkster B, Kadaba M, Subramanian V. Understanding the impact of an AI-enabled conversational agent mobile app on users’ mental health and wellbeing with a self-reported maternal event: a mixed method real-world data mHealth study. Frontiers in Global Women's Health 2023;4 View
  21. Nadal C, Earley C, Enrique A, Sas C, Richards D, Doherty G. Patient Acceptance of Self-Monitoring on a Smartwatch in a Routine Digital Therapy: A Mixed-Methods Study. ACM Transactions on Computer-Human Interaction 2024;31(1):1 View
  22. O'Connell J, Gilmartin E, Roche D, Rogers S. Conversational artificial intelligence: the interface with the patient concerns inventory. British Journal of Oral and Maxillofacial Surgery 2024;62(5):391 View
  23. Alexe A, Lewis D, Harrison K. An innovative mobile app for the provision of medical information and collection of safety data on exposure to medicines during pregnancy or breastfeeding: An IHI ConcePTION contribution. Reproductive, Female and Child Health 2024;3(1) View
  24. Clarke J, Gibson M, Savaglio M, Navani R, Mousa M, Boyle J. Digital screening for mental health in pregnancy and postpartum: A systematic review. Archives of Women's Mental Health 2024;27(4):489 View
  25. Bilal A, Pagoni K, Iliadis S, Papadopoulos F, Skalkidou A, Öster C. Exploring User Experiences of the Mom2B mHealth Research App During the Perinatal Period: Qualitative Study. JMIR Formative Research 2024;8:e53508 View

Books/Policy Documents

  1. Perego P, Terraroli M. Wireless Mobile Communication and Healthcare. View
  2. Asadi A, Prabhakar A. Proceedings of the Future Technologies Conference (FTC) 2024, Volume 3. View
  3. Akanbi K, Lekwa S, Prabhakar A. Proceedings of the Future Technologies Conference (FTC) 2024, Volume 4. View