Effectiveness of web-based intervention on reducing symptom burden, improving self-management capabilities and self-efficacy among prostate cancer survivors: a systematic review and meta-analysis protocol.

Abstract

Prostate cancer is the most common malignant disease within the male genitourinary system. Advances in cancer screening and treatment have significantly ameliorated the survival rates of patients with prostate cancer. Nonetheless, prostate cancer survivors report various degrees of cancer-related symptoms. These symptoms cause physiological and psychological suffering, leading to a deterioration of quality of life. Web-based interventions may facilitate the management of symptoms due to their flexibility, accessibility and convenience. However, the efficacy of web-based interventions in reducing symptom burden remains to be confirmed. Consequently, this systematic review and meta-analysis aims to comprehensively synthesise existing evidence, evaluate the effectiveness of web-based interventions in reducing symptom burden among patients and furnish a reference for clinical practice. This protocol strictly adheres to the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocol guidelines. We will comprehensively search six databases (PubMed, Web of Science, Cochrane, Embase, CINAHL and PsycINFO) from their inception to March 2024 in order to identify clinical trials on the efficacy of web-based interventions for prostate cancer survivors. Two reviewers will independently conduct study selection, data extraction and quality assessment. The risk bias of included studies will be assessed using the Cochrane Risk of Bias Tool for randomised trials 2.0, and the strength of evidence will be assessed using Grading of Recommendations Assessment, Development and Evaluation (GRADE) guideline. Meta-analysis will be performed using STATA V.16.0, and the effect size will be calculated using the standardised mean difference and its 95% CI. Heterogeneity will be assessed using Cochran's Q statics and inconsistency will be measured using the I² statistics. Potential sources of bias will be evaluated. Ethics approval is not required for this review as no human participants will be involved. The results will be disseminated via a peer-reviewed journal or an academic conference. CRD42023457718.