ArticleJMIR mHealth and uHealth2022
mHealth Solutions for Perinatal Mental Health: Scoping Review and Appraisal Following the mHealth Index and Navigation Database Framework.
Article in JMIR mHealth and uHealth, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.
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Who cites it
20 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Digital health technologies for self-identification of the risk of perinatal mental illness: a systematic review.Frontiers in public health · 2026Pooled it
- Efficacy of Nurse-led Telepsychological Intervention for Patients with Postpartum Depression: A Systematic Review and Meta-analysis.Alpha psychiatry · 2024Pooled it
- Applying a multi-level usability framework for evaluation of a pregnancy health promotion app.BMC medical informatics and decision making · 2026Article
- Exploring Serious Games in Supporting Postnatal Depression: Narrative Review.Interactive journal of medical research · 2026Review
- Implementing a Telehealth Perinatal Depression Prevention Program: Perspectives of Rural and Urban Clinical Staff.Journal of nursing management · 2026Article
- Summary of current evidence for digital health interventions in the screening and management of postpartum depression.Frontiers in psychiatry · 2026Article
- Five years of app evaluation: Insights from a framework in practice - a systematic review on the m-health index and navigation database.Internet interventions · 2025Article
- The Need to Enhance the Use of Teleconsultation: A Qualitative Study Among Health Providers to Reduce the Burden of Low Birth Weight.International journal of telemedicine and applications · 2025Article
- Effectiveness of family support-based companion video sharing to improve depression in perinatal maternity: a randomized controlled trial study protocol.Frontiers in psychiatry · 2025Article
- What's Next in MHealth Apps in Rehabilitation: Re-Directing Our Attention to Evaluating Quality.Physiotherapy Canada. Physiotherapie Canada · 2024Article
- Article
- Translating Research Evidence Into Marketplace Application: Cohort Study of Internet-Based Intervention Platforms for Perinatal Depression.Journal of medical Internet research · 2023Article
- App-based intervention for reducing depressive symptoms in postpartum women: Protocol for a feasibility randomized controlled trial.Internet interventions · 2023Article
- Exploring how informed mental health app selection may impact user engagement and satisfaction.PLOS digital health · 2023Article
- Assessing the Dynamics of the Mental Health Apple and Android App Marketplaces.Journal of technology in behavioral science · 2023Article
- Pregnancy Apps for Self-Monitoring: Scoping Review of the Most Popular Global Apps Available in Australia.International journal of environmental research and public health · 2023Article
- Mobile heath applications for self-management in chronic lung disease: a systematic review.Network modeling and analysis in health informatics and bioinformatics · 2023Review
- Article
- A Chilean survey of perinatal women and health care professionals' views towards perinatal apps.mHealth · 2023Article
- Features and characteristics of publicly available mHealth apps for self-management in chronic obstructive pulmonary disease.Digital healthArticle
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe ever-increasing pressure on health care systems has resulted in the underrecognition of perinatal mental disorders. Digital mental health tools such as apps could provide an option for accessible perinatal mental health screening and assessment. However, there is a lack of information regarding the availability and features of perinatal app options.
objectiveThis study aims to evaluate the current state of diagnostic and screening apps for perinatal mental health available on the Google Play Store (Android) and Apple App Store (iOS) and to review their features following the mHealth Index and Navigation Database framework.
methodsFollowing a scoping review approach, the Apple App Store and Google Play Store were systematically searched to identify perinatal mental health assessment apps. A total of 14 apps that met the inclusion criteria were downloaded and reviewed in a standardized manner using the mHealth Index and Navigation Database framework. The framework comprised 107 questions, allowing for a comprehensive assessment of app origin, functionality, engagement features, security, and clinical use.
resultsMost apps were developed by for-profit companies (n=10), followed by private individuals (n=2) and trusted health care companies (n=2). Out of the 14 apps, 3 were available only on Android devices, 4 were available only on iOS devices, and 7 were available on both platforms. Approximately one-third of the apps (n=5) had been updated within the last 180 days. A total of 12 apps offered the Edinburgh Postnatal Depression Scale in its original version or in rephrased versions. Engagement, input, and output features included reminder notifications, connections to therapists, and free writing features. A total of 6 apps offered psychoeducational information and references. Privacy policies were available for 11 of the 14 apps, with a median Flesch-Kincaid reading grade level of 12.3. One app claimed to be compliant with the Health Insurance Portability and Accountability Act standards and 2 apps claimed to be compliant with General Data Protection Regulation. Of the apps that could be accessed in full (n=10), all appeared to fulfill the claims stated in their description. Only 1 app referenced a relevant peer-reviewed study. All the apps provided a warning for use, highlighting that the mental health assessment result should not be interpreted as a diagnosis or as a substitute for medical care. Only 3 apps allowed users to export or email their mental health test results.
conclusionsThese results indicate that there are opportunities to improve perinatal mental health assessment apps. To this end, we recommend focusing on the development and validation of more comprehensive assessment tools, ensuring data protection and safety features are adequate for the intended app use, and improving data sharing features between users and health care professionals for timely support.
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