Abstract

BackgroundPerinatal depression is strikingly common with a prevalence of 10–15 %. The adverse effects of perinatal depression on maternal and child health are profound with considerable costs. Despite this, few women seek medical attention. E-health, providing healthcare via the Internet is an accessible and effective solution for the treatment of depression in the general population. We aimed to conduct a systematic review of web-based interventions for the prevention and treatment of mood disorders in the perinatal period, defined as the start of pregnancy to 1 year post-partum.MethodsSix databases were searched until 26th March 2015. Two researchers independently screened articles for eligibility. Of the 547 screened articles, four met the inclusion criteria. These included three randomised-controlled trials and one feasibility trial, with total data from 1274 participants. MOOSE and PRISMA guidelines were adhered to for the conduct and reporting of the systematic review.ResultsAll studies were conducted in the post-partum period. All reported an improvement in maternal mood following intervention. A significant improvement in depressive symptoms was measured using validated rating scales, such as the Edinburgh Postnatal Depression Scale (EPDS), either at post-treatment or follow-up which ranged from 3 to 12 months post study completion. For the two RCTs utilising the EPDS, the EPDS score reductions were (mean ± SEM) 8.52 ± 0.22 (Range 19.46 to10.94) and 9.19 ± 0.63 (Range, 20.24 to 11.05) for treatment groups and 5.16 ± 0.25 (Range 19.44 to 14.28) and 6.81 ± 0.71 (Range 21.07 to 14.26) for comparator groups. However attrition within studies ranged from 13 to 61 %. One study was rated as ‘good’ quality.ConclusionsPreliminary data suggests web-based therapies for perinatal depression delivered in the post-partum period may play a role in improving maternalmood but more studies are needed, particularly with interventions delivered antenatally. Further research is needed to address the limitations of the existing evidence base.Electronic supplementary materialThe online version of this article (doi:10.1186/s12884-016-0831-1) contains supplementary material, which is available to authorized users.

Highlights

  • Perinatal depression is strikingly common with a prevalence of 10–15 %

  • Before Computerised Cognitive Behavioural Therapy (CCBT) is embedded in clinical practice for treatment of perinatal depression, there is a need for a systematic review of the existing evidence to determine whether web-interventions for pregnant and post-partum women are efficacious for prevention and treatment of perinatal mood disorders and potentially to inform the design of future studies if gaps in the current evidence base are identified

  • Data sources The Meta-analysis of Observational Studies in Epidemiology (MOOSE) guidelines were followed for the conduct [34], and the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines for the reporting [35] of this systematic review

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Summary

Introduction

Perinatal depression is strikingly common with a prevalence of 10–15 %. Computerised Cognitive Behavioural Therapy (CCBT) has proved an acceptable and effective treatment for depression in non-pregnant individuals [17,18,19,20,21,22,23,24,25,26] with a comprehensive meta-analysis demonstrating significant superiority compared to comparator therapies in the general population [18] Based on this evidence, CCBT is one of the low-intensity psychosocial interventions that the National Institute for Health and Care Excellence (NICE) (which provides national guidelines for delivery of healthcare in England and Wales in the UK) recommends for treating persistent subthreshold depressive symptoms or mild to moderate depression in nonpregnant individuals [27]. Before CCBT is embedded in clinical practice for treatment of perinatal depression, there is a need for a systematic review of the existing evidence to determine whether web-interventions for pregnant and post-partum women are efficacious for prevention and treatment of perinatal mood disorders and potentially to inform the design of future studies if gaps in the current evidence base are identified

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