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Effectiveness of online interventions in preventing depression: a protocol for systematic review and meta-analysis of randomised controlled trials

Authors :
Universidad de Sevilla. Departamento de Psicología Evolutiva y de la Educación
Rigabert, Alina
Motrico Martínez, Emma
Moreno Peral, Patricia
Resurrección, Davinia María
Conejo Cerón, Sonia
Navas Campaña, Desirée
Bellón Juan Antonio
Universidad de Sevilla. Departamento de Psicología Evolutiva y de la Educación
Rigabert, Alina
Motrico Martínez, Emma
Moreno Peral, Patricia
Resurrección, Davinia María
Conejo Cerón, Sonia
Navas Campaña, Desirée
Bellón Juan Antonio
Publication Year :
2018

Abstract

IntroductionAlthough evidence exists for the efficacy of psychosocial interventions in preventing depression, little is known about its prevention through online interventions. The objective of this study is to conduct a systematic review and meta-analysis of randomised controlled trials assessing the effectiveness of online interventions in preventing depression in heterogeneous populations.Methods and analysisWe will conduct a systematic review and meta-analysis of randomised controlled trials that will be identified through searches of PubMed, PsycINFO, WOS, Scopus, OpenGrey, Cochrane Central Register of Controlled Trials, ClinicalTrials. gov and Australia New Zealand Clinical Trials Register . We will also search the reference lists provided in relevant studies and reviews. Experts in the field will be contacted to obtain more references. Two independent reviewers will assess the eligibility criteria of all articles, extract data and determine their risk of bias (Cochrane Collaboration Tool). Baseline depression will be required to have been discarded through standardised interviews or validated self-reports with standard cut-off points. The outcomes will be the incidence of new cases of depression and/or the reduction of depressive symptoms as measured by validated instruments. Pooled standardised mean differences will be calculated using random-effect models. Heterogeneity and publication bias will be estimated. Predefined sensitivity and subgroup analyses will be performed. If heterogeneity is relevant, random-effect meta-regression will be performed.

Details

Database :
OAIster
Notes :
English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1240076086
Document Type :
Electronic Resource