Effectiveness of telehealth interventions on depression symptoms after stroke: A systematic review and meta-analysis

Depression symptoms are common after stroke, and affect survivors' recovery of neurological function, ability to return to society, and quality of life. Telehealth has been shown to improve depression symptoms and quality of life among patients post-stroke. However, evidence from clinical trials has not previously been systematically synthesized.

This study aimed to systematically evaluate the effectiveness of telehealth interventions in reducing depression symptoms among patients post-stroke.

Following the PRISMA guidelines, we conducted a meta-analysis of randomized control trials of telehealth interventions for post-stroke depression symptoms. The quality of included studies was assessed using the Cochrane risk of bias tool. RevMan 5.4 software was used for the meta-analysis. Data were synthesized by fixed (I² ≤ 50 %) or random (I² > 50 %) effects models based on a heterogeneity test.

In total, ten studies with 1717 participants were included, eight of which were eligible for the meta-analysis. There were no significant differences in efficacy between the telehealth and control groups for depression symptoms (standardized mean difference [SMD] = -0.16, 95 % confidence interval [CI] -0.67 to 0.36; P = .54), quality of life (SMD = 0.00, 95%CI -0.18 to 0.18; P = .99), limb function (SMD = 0.46, 95%CI -0.26 to 1.18; P = .21), and daily living ability (SMD = 0.38, 95%CI -1.39 to 2.15; P = .67). The telemedicine group had significantly lower anxiety scores than the control group (SMD = -1.05, 95%CI -1.22 to -0.89; P < .001).

The number of randomized controlled trials (RCTs) included in the review was relatively small.

This study suggests that telehealth interventions have comparable effects to usual nursing care in improving depression symptoms after a stroke. However, large-scale, high-quality RCTs are needed to further explore the potential of telehealth interventions in improving mental health among patients post-stroke.