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

Wearables and MHealth Reviews (257) mHealth for Wellness, Behavior Change and Prevention (2728) mHealth for Diagnosis (48) mHealth for Screening (190) mHealth for Patient Education (214) e-Mental Health and Cyberpsychology (1386) Perinatal Depression; Postpartum Depression; PPD (88) Quality Evaluation and Descriptive Analysis/Reviews of Multiple Existing Mobile Apps (362)

Published on in Vol 10, No 1 (2022): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/30724, first published .
mHealth Solutions for Perinatal Mental Health: Scoping Review and Appraisal Following the mHealth Index and Navigation Database Framework

mHealth Solutions for Perinatal Mental Health: Scoping Review and Appraisal Following the mHealth Index and Navigation Database Framework

mHealth Solutions for Perinatal Mental Health: Scoping Review and Appraisal Following the mHealth Index and Navigation Database Framework

Authors of this article:

Benedetta Spadaro1 Author Orcid Image ;   Nayra A Martin-Key1 Author Orcid Image ;   Erin Funnell1 Author Orcid Image ;   Sabine Bahn1, 2 Author Orcid Image
Article Authors Cited by (12) Tweetations (14) Metrics

Journals

  1. Lazarevic N, Lecoq M, Bœhm C, Caillaud C. Pregnancy Apps for Self-Monitoring: Scoping Review of the Most Popular Global Apps Available in Australia. International Journal of Environmental Research and Public Health 2023;20(2):1012 View
  2. Stoeckl S, Torres-Hernandez E, Camacho E, Torous J. Assessing the Dynamics of the Mental Health Apple and Android App Marketplaces. Journal of Technology in Behavioral Science 2023;8(4):465 View
  3. Franco P, Olhaberry M, Cuijpers P, Kelders S, Muzard A. App-based intervention for reducing depressive symptoms in postpartum women: Protocol for a feasibility randomized controlled trial. Internet Interventions 2023;32:100616 View
  4. Zeng Z, Peng J, Liu L, Gong W. Translating Research Evidence Into Marketplace Application: Cohort Study of Internet-Based Intervention Platforms for Perinatal Depression. Journal of Medical Internet Research 2023;25:e42777 View
  5. Quach S, Benoit A, Oliveira A, Packham T, Goldstein R, Brooks D. Features and characteristics of publicly available mHealth apps for self-management in chronic obstructive pulmonary disease. DIGITAL HEALTH 2023;9:205520762311670 View
  6. Ting A, McLachlan C. Dr. Smartphone, can you support my trauma? An informatics analysis study of App Store apps for trauma- and stressor-related disorders. PeerJ 2023;11:e15366 View
  7. Quach S, Michaelchuk W, Benoit A, Oliveira A, Packham T, Goldstein R, Brooks D. Mobile health applications for self-management in chronic lung disease: a systematic review. Network Modeling Analysis in Health Informatics and Bioinformatics 2023;12(1) View
  8. Baumel A. Digital Tools in the Service of Peer and Social Support for Perinatal Mental Health. Current Psychiatry Reports 2023;25(11):741 View
  9. Whitworth K, Donnellan-Fernandez R, Fleet J. Digital transformation of antenatal education: A descriptive exploratory study of women’s experiences of online antenatal education. Women and Birth 2024;37(1):188 View
  10. Ur Rehman M, Shafique A, Azhar Q, Jamal S, Gheraibia Y, Usman A. Voice disorder detection using machine learning algorithms: An application in speech and language pathology. Engineering Applications of Artificial Intelligence 2024;133:108047 View
  11. Quach S. Que nous réservent les applis de santé mobile en réadaptation – se concentrer sur l’évaluation de la qualité. Physiotherapy Canada 2024;76(2):160 View
  12. Quach S. What’s Next in MHealth Apps in Rehabilitation: Re-Directing Our Attention to Evaluating Quality. Physiotherapy Canada 2024;76(2):157 View