Effectiveness of web-based and mobile-based psychological interventions to prevent perinatal depression: Study protocol for a systematic review and meta-analysis of randomized controlled trials

Abstract

Introduction: Perinatal depression is one of the most common complications during pregnancy and one year following childbirth. A negative impact on the mental and physical health of women, their children, partners, or significant others has been associated with this disease. Web-based and Mobile-based psychological interventions can reduce the burden of the disease through prevention of new cases of depression. It is crucial to know the effectiveness of these interventions to implement them around the globe. This systematic review and meta analysis aims to assess the effectiveness of Web-based and Mobile-based psychological interventions to prevent depression during the perinatal period. Method and analysis: A systematic review and meta-analysis will adhere to the PRISMA guidelines. Studies will be identified through MEDLINE, PsycINFO, Web of Science, Scopus, CINAHL, CENTRAL, Opengrey, Australian New Zealand Clinical Trial Registry, National Institute for Mental Health Research at the Australian National University, clinicaltrial.gov, beacon.anu.edu.au, and evidencebasedpsychotherapies.org from inception until 31 March 2021. We will also search the reference lists provided in relevant studies and reviews. The selection criteria will be as follows: 1) pregnant women or women who have given birth in the last 12 months and who were non-depressive at baseline; 2) Web-based and Mobile-Based psychological interventions; 3) comparators will be usual care, attention control, waiting list or no intervention; 4) outcomes will be the incidence of new cases of perinatal depression and/or the reduction of depressive symptoms as measured by validated instruments; and 5) the design of the studies will be randomized controlled trials. No restrictions regarding the year or language of publication will be considered. Pooled standardized mean differences and 95% confidence intervals will be calculated. The risk of bias of the studies will be assessed through the Cochrane Collaboration risk of bias 2.0 tool. Heterogeneity and publication bias will be estimated. Sensitivity and sub-group analyses will also be conducted. Random effects meta-regression will be performed.