Literature DB >> 32281939

Mobile Health for Perinatal Depression and Anxiety: Scoping Review.

Neesha Hussain-Shamsy1,2, Amika Shah1,2, Simone N Vigod1,3,4, Juveria Zaheer4,5, Emily Seto1,2.   

Abstract

BACKGROUND: The perinatal period is a vulnerable time during which depression and anxiety commonly occur. If left untreated or undertreated, there may be significant adverse effects; therefore, access to rapid, effective treatment is essential. Treatments for mild-to-moderate symptoms according to a stepped-care approach involve psychoeducation, peer support, and psychological therapy, all of which have been shown to be efficaciously delivered through digital means. Women experience significant barriers to care because of system- and individual-level factors, such as cost, accessibility, and availability of childcare. The use of mobile phones is widespread in this population, and the delivery of mental health services via mobile phones has been suggested as a means of reducing barriers.
OBJECTIVE: This study aimed to understand the extent, range, and nature of mobile health (mHealth) tools for prevention, screening, and treatment of perinatal depression and anxiety in order to identify gaps and inform opportunities for future work.
METHODS: Using a scoping review framework, 4 databases were searched for terms related to mobile phones, perinatal period, and either depression or anxiety. A total of 477 unique records were retrieved, 81 of which were reviewed by full text. Peer-reviewed publications were included if they described the population as women pregnant or up to 1 year postpartum and a tool explicitly delivered via a mobile phone for preventing, screening, or treating depression or anxiety. Studies published in 2007 or earlier, not in English, or as case reports were excluded.
RESULTS: A total of 26 publications describing 22 unique studies were included (77% published after 2017). mHealth apps were slightly more common than texting-based interventions (12/22, 54% vs 10/22, 45%). Most tools were for either depression (12/22, 54%) or anxiety and depression (9/22, 41%); 1 tool was for anxiety only (1/22, 4%). Interventions starting in pregnancy and continuing into the postpartum period were rare (2/22, 9%). Tools were for prevention (10/22, 45%), screening (6/22, 27%), and treatment (6/22, 27%). Interventions delivered included psychoeducation (16/22, 73%), peer support (4/22, 18%), and psychological therapy (4/22, 18%). Cost was measured in 14% (3/22) studies.
CONCLUSIONS: Future work in this growing area should incorporate active psychological treatment, address continuity of care across the perinatal period, and consider clinical sustainability to realize the potential of mHealth. ©Neesha Hussain-Shamsy, Amika Shah, Simone N Vigod, Juveria Zaheer, Emily Seto. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 13.04.2020.

Entities:  

Keywords:  anxiety; depression; mHealth; mental health; mobile phone; postpartum; pregnancy; smartphone; text message

Year:  2020        PMID: 32281939     DOI: 10.2196/17011

Source DB:  PubMed          Journal:  J Med Internet Res        ISSN: 1438-8871            Impact factor:   5.428


  22 in total

1.  Mothers and Babies Online Course: Participant Characteristics and Behaviors in a Web-Based Prevention of Postpartum Depression Intervention.

Authors:  Alinne Z Barrera; Sydney Y Morris; Adriana Ruiz
Journal:  Front Glob Womens Health       Date:  2022-06-24

Review 2.  Text Messages in the Field of Mental Health: Rapid Review of the Reviews.

Authors:  Reham Shalaby; Medard K Adu; Hany M El Gindi; Vincent I O Agyapong
Journal:  Front Psychiatry       Date:  2022-06-24       Impact factor: 5.435

3.  Study protocol for a multisite randomized controlled trial of an internet and mobile-based intervention for preventing and reducing perinatal depressive symptoms.

Authors:  Patricia Kinser; Nancy Jallo; Jennifer Huberty; Evelyn Jones; Leroy Thacker; Sara Moyer; Breanne Laird; Amy Rider; Susan Lanni; Filip Drozd; Silje Haga
Journal:  Res Nurs Health       Date:  2020-12-15       Impact factor: 2.228

Review 4.  A systematic review of mHealth application interventions for peripartum mood disorders: trends and evidence in academia and industry.

Authors:  Natalie Feldman; Diana Back; Robert Boland; John Torous
Journal:  Arch Womens Ment Health       Date:  2021-04-30       Impact factor: 3.633

5.  Evaluation of Repeated Web-Based Screening for Predicting Postpartum Depression: Prospective Cohort Study.

Authors:  Kathrin Haßdenteufel; Katrin Lingenfelder; Cornelia E Schwarze; Manuel Feisst; Katharina Brusniak; Lina Maria Matthies; Maren Goetz; Markus Wallwiener; Stephanie Wallwiener
Journal:  JMIR Ment Health       Date:  2021-12-10

6.  Analysis of Online Peripartum Depression Communities: Application of Multilabel Text Classification Techniques to Inform Digitally-Mediated Prevention and Management.

Authors:  Alexandra Zingg; Tavleen Singh; Sahiti Myneni
Journal:  Front Digit Health       Date:  2021-05-21

Review 7.  Protecting the infant-parent relationship: special emphasis on perinatal mood and anxiety disorder screening and treatment in neonatal intensive care unit parents.

Authors:  Julie Johnson Rolfes; Megan Paulsen
Journal:  J Perinatol       Date:  2021-10-28       Impact factor: 3.225

8.  Person-Generated Health Data in Women's Health: Protocol for a Scoping Review.

Authors:  Jalisa Lynn Karim; Aline Talhouk
Journal:  JMIR Res Protoc       Date:  2021-05-28

9.  Perinatal Predictors of Postpartum Depression: Results of a Retrospective Comparative Study.

Authors:  Jolanta Banasiewicz; Kornelia Zaręba; Małgorzata Bińkowska; Hanna Rozenek; Stanisław Wójtowicz; Grzegorz Jakiel
Journal:  J Clin Med       Date:  2020-09-12       Impact factor: 4.241

Review 10.  mHealth and Perinatal Depression in Low-and Middle-Income Countries: A Scoping Review of the Literature.

Authors:  Aliyah Dosani; Harshmeet Arora; Sahil Mazmudar
Journal:  Int J Environ Res Public Health       Date:  2020-10-21       Impact factor: 3.390

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