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  2. Vol 29, No 3 (2025)
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Assessing the features of mobile Apps for self-management of postpartum depression

Manal Almalki(1), Asim Mehmood(2),


(1) Department of Public Health, College of Nursing and Health Sciences, Jazan University, Saudi Arabia
(2) Department of Public Health, College of Nursing and Health Sciences, Jazan University, Saudi Arabia
Corresponding Author

Abstract


Postpartum depression (PPD) is a significant global health concern, impacting the well-being of mothers and their infants during the postpartum period. Digital health solutions, particularly mobile applications, have emerged as promising tools for PPD management. This study systematically evaluates the landscape of PPD apps, identifying 115 relevant applications available on iOS and Android platforms. Through a comprehensive analysis, we assess their availability, popularity, key features, and technological advancements. Many of these apps integrate artificial intelligence (AI), machine learning, and wearable devices to enhance risk assessment, personalized support, and real-time monitoring. While these apps offer improved access to mental health resources, early screening, and self-management tools, considerable variability exists in their quality, functionality, and adherence to privacy and security standards. The lack of standardized evaluation frameworks raises concerns about their reliability and clinical effectiveness. Ensuring evidence-based practices, rigorous validation, and quality assurance is critical to optimizing their impact. Our findings emphasize the need for further research, standardized app evaluation frameworks, and implementation studies to facilitate clinical integration. Additionally, expanding multilingual support and telehealth features can improve accessibility for diverse populations. Strengthening mHealth solutions through these advancements can enhance maternal mental health care, benefiting both patients and healthcare providers.

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