mHealth apps for maternal mental well-being among pregnant and postpartum women: a systematic review.

IF 3.3 Q2 HEALTH CARE SCIENCES & SERVICES
mHealth Pub Date : 2026-04-24 eCollection Date: 2026-01-01 DOI:10.21037/mhealth-2025-72
Syed Niaz Mohtasim, Faiza Omar Arpita, Istiaq Ahmed, Ashraful Islam, M Ashraful Amin, Beenish Moalla Chaudhry
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引用次数: 0

Abstract

Background: Maternal mental well-being during and after pregnancy is often overlooked, posing serious long-term risks to mothers and children. This systematic review aims to synthesize research on mobile health (mHealth) applications (apps) designed to support perinatal and postpartum mental well-being, with a focus on their design characteristics, intervention approaches, and reported effectiveness.

Methods: We conducted a systematic review following the PRISMA 2020 guidelines. PubMed and Scopus were searched up to August 2025. Studies were included if they reported original research on mHealth apps targeting maternal mental well-being during or after pregnancy with a diagnostic or intervention component for mental health. Review papers, conference abstracts, and studies without an mHealth component were excluded.

Results: From 2,127 articles, 15 met the inclusion criteria. These studies, published between 2017 and 2024, evaluated 13 distinct mHealth apps targeting primarily anxiety (12 studies), depression (8 studies), and stress (4 studies). Across all 15 studies, 24 screening methods were reported. Apps delivered interventions including mindfulness and guided meditation (7 studies) and cognitive behavioral therapy (CBT)-based tools and mood tracking (7 studies). Six app feature categories were identified: mental health screening, physical and mental well-being exercises and meditation, health education, visual design elements, healthcare support, and additional support features. Usability and engagement were most commonly evaluated using questionnaires and surveys (4 studies) and the Mobile Application Rating Scale (MARS) (3 studies). Six studies reported positive outcomes for depression symptoms. Common methodological limitations included small sample sizes, high dropout rates, and lack of long-term follow-up, constraining the generalizability of findings.

Conclusions: This review demonstrates the potential of mHealth apps as accessible tools for supporting maternal mental well-being during pregnancy and the postpartum period. Clinicians should regard these tools as supplementary rather than standalone interventions until larger-scale efficacy trials are available. App developers are encouraged to design solutions that span both prenatal and postnatal periods, address multiple mental health conditions simultaneously, integrate validated screening methods, and combine health education, therapeutic, and behavioral support within a single platform. Future research should prioritize robust, longitudinal trials with diverse populations and standardized outcome measures to establish the evidence base needed for broader integration of mHealth into perinatal care.

用于孕妇和产后妇女产妇心理健康的移动健康应用程序:系统回顾。
背景:母亲在怀孕期间和之后的心理健康往往被忽视,对母亲和儿童构成严重的长期风险。本系统综述旨在综合研究旨在支持围产期和产后心理健康的移动健康(mHealth)应用程序,重点关注其设计特点,干预方法和报告的有效性。方法:我们按照PRISMA 2020指南进行了系统评价。PubMed和Scopus检索截止到2025年8月。如果研究报告了针对怀孕期间或怀孕后孕产妇心理健康的移动健康应用程序的原始研究,并包含心理健康的诊断或干预成分,则将其纳入研究。没有移动健康成分的综述论文、会议摘要和研究被排除在外。结果:2127篇文章中,15篇符合纳入标准。这些研究发表于2017年至2024年之间,评估了13种不同的移动健康应用程序,主要针对焦虑(12项研究)、抑郁(8项研究)和压力(4项研究)。在所有15项研究中,报告了24种筛查方法。应用程序提供的干预措施包括正念和引导冥想(7项研究)、基于认知行为疗法(CBT)的工具和情绪追踪(7项研究)。确定了六个应用程序功能类别:心理健康筛查、身心健康锻炼和冥想、健康教育、视觉设计元素、医疗保健支持和其他支持功能。可用性和用户粘性通常是通过问卷调查(4项研究)和移动应用评级量表(MARS)(3项研究)来评估的。六项研究报告了抑郁症状的积极结果。常见的方法学局限性包括样本量小,辍学率高,缺乏长期随访,限制了研究结果的推广。结论:本综述证明了移动健康应用程序作为孕期和产后支持产妇心理健康的可访问工具的潜力。临床医生应该将这些工具视为补充而不是独立的干预措施,直到有更大规模的疗效试验。App开发者被鼓励设计出涵盖产前和产后的解决方案,同时解决多种心理健康问题,整合有效的筛查方法,并将健康教育、治疗和行为支持结合在一个平台上。未来的研究应优先考虑具有不同人群的可靠的纵向试验和标准化的结果测量,以建立将移动医疗更广泛地整合到围产期护理中所需的证据基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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