Effect of eHealth interventions on perinatal depression: A meta-analysis

Abstract

BackgroundPerinatal depression (PND) is a common mental health problem, and eHealth interventions may provide a strategy for alleviating PND. AimThis meta-analysis aimed to determine the effect of eHealth interventions on PND. MethodsSix databases were searched to retrieve published randomized controlled trials (RCTs) on the effect of eHealth interventions on PND. A meta-analysis was performed on the data of these studies using a random effects model. ResultsA total of 21 RCTs were included in the meta-analysis, which revealed that eHealth interventions significantly reduced antenatal depression (WMD = −1.64, 95 % CI [−2.92, −0.35], P = .013), postpartum depression (SMD = −0.41, 95 % CI [−0.52, −0.29], P < .001), anxiety (SMD = −0.39, 95 % CI [−0.51, −0.28], P < .001), stress (WMD = −2.93, 95 % CI [−4.58, −1.27], P = .001), and improved self-efficacy (SMD = 0.42, 95 % CI [0.21, 0.63], P < .001) compared with the control group. However, eHealth interventions did not significantly improve social support (SMD = 0.27, 95 % CI [−0.01, 0.56], P = .058). For antenatal depression, significant subgroup differences were observed in the digital platform and material presentation format. In addition, for postpartum depression, significant subgroup differences were found in the type of therapy. ConclusionsThe meta-analysis results suggest that eHealth interventions can relieve depression, anxiety, and stress symptoms and improve self-efficacy in perinatal women. However, these interventions did not improve social support. Additional high-quality studies on eHealth interventions in PND are needed to validate these results.