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

Formative Evaluation of Digital Health Interventions (3229) mHealth for Wellness, Behavior Change and Prevention (3315) Design and Formative Evaluation of Mobile Apps (809) Formative Studies and eHealth/mHealth Development (575) Pregnancy Information, Education and Lifestyle Interventions (400) Perinatal Education for Parents (276) Perinatal Depression; Postpartum Depression; PPD (133) Prevention and Health Promotion (1362) Usability of Apps and User Perceptions of mHealth (1188)

Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/44500, first published .
Acceptability of an mHealth App for Monitoring Perinatal and Postpartum Mental Health: Qualitative Study With Women and Providers

Acceptability of an mHealth App for Monitoring Perinatal and Postpartum Mental Health: Qualitative Study With Women and Providers

Acceptability of an mHealth App for Monitoring Perinatal and Postpartum Mental Health: Qualitative Study With Women and Providers

Authors of this article:

Deepthi S Varma1 Author Orcid Image ;   Maya Mualem1 Author Orcid Image ;   Amie Goodin2 Author Orcid Image ;   Kelly K Gurka1 Author Orcid Image ;   Tony Soo-Tung Wen3 Author Orcid Image ;   Matthew J Gurka4, 5 Author Orcid Image ;   Kay Roussos-Ross5, 6 Author Orcid Image
Article Authors Cited by (10) Tweetations (3) Metrics

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  1. Collins A, Bhattacharya S, Oh J, Salzhauer A, Taylor C, Wolitzky-Taylor K, Aupperle R, Budney A, Jacobson N. Inclusion of Individuals With Lived Experiences in the Development of a Digital Intervention for Co-Occurring Depression and Cannabis Use: Mixed Methods Investigation. JMIR Formative Research 2024;8:e54751 View
  2. Mancinelli E, Magnolini S, Gabrielli S, Salcuni S. A Chatbot (Juno) Prototype to Deploy a Behavioral Activation Intervention to Pregnant Women: Qualitative Evaluation Using a Multiple Case Study. JMIR Formative Research 2024;8:e58653 View
  3. Tzitiridou-Chatzopoulou M, Zournatzidou G. Bibliometric Analysis on of the Impact of Screening to Minimize Maternal Mental Health on Neonatal Outcomes: A Systematic Review. Journal of Clinical Medicine 2024;13(19):6013 View
  4. Monasor Ortola D, Mira Solves J, Esteve Ríos A. Análisis de habilidades y percepciones sobre mHealth en el manejo de pacientes crónicos por profesionales de atención primaria. Atención Primaria 2025;57(2):103142 View
  5. Zhang X, Cui W, Yao J, Zhang Y, Wang Y. Feasibility and utility of ecological momentary assessment to measure mental health issues in perinatal women: Scoping review. Psychiatry Research 2025;348:116400 View
  6. Godage P, Giggins O, Doyle J, Byrne A. The effectiveness of mHealth mindfulness interventions on perinatal psychological health: a systematic review. Oxford Open Digital Health 2025;3 View
  7. Killinger K, Seyfried V, Brusniak K, Wallwiener M, Abou-Dakn M, Scholle D, Wallwiener S. Preuse Acceptance of a Family-Centered, Need-Based, and Interprofessional Perinatal Care Mobile Health Intervention: Exploratory Study. JMIR Human Factors 2025;12:e66658 View
  8. Xiaocui H, Shengyao Y, Samsudin N, Kuan L, Xuefen L. Empowering postpartum women: the role of mHealth apps in promoting mental health and obesity prevention. BMC Women's Health 2025;25(1) View
  9. Endalifer B, Kassa M, Ejigu Y, Ambaye A. Epidemiology, risk factors, and prevention of women’s mental health during the perinatal period. Global Reproductive Health 2025;10(3) View
  10. Fertig M, Lee J, Rabie S, Tshukuse Y, Ncukana M, Ashar D, Carnes C, O’Cleirigh C, Joska J, Chai P, Stanton A. Attitudes toward digital pill systems for antiretroviral therapy adherence among pregnant and postpartum women living with HIV in South Africa: a qualitative study. Frontiers in Psychiatry 2025;16 View