Background/Objectives:The prevalence of breast cancer (BC) is significant globally. The malignancy itself and the related treatments have a considerable impact on patients’ overall well-being. The adoption of e-health solutions for patients is increasing rapidly worldwide, since these innovative tools hold significant potential to positively impact the mental health and quality of life (QoL) of BC patients. However, their overall impact is still being explored, and further understanding and analysis are required. This review paper aims to present, quantify, and summarize the cumulative available randomized evidence on the state of the art of supportive interventions delivered via e-health applications for patients’ mental health and QoL before, during, and after BC treatment.Methods: A systematic review was conducted following the PRISMA guidelines in the Scopus and PubMed databases on 7 November 2024 to identify studies that utilized internet-based interventions in BC patients. The inclusion criteria were as follows: adult men and women (aged > 18 years) diagnosed with breast cancer (BC) who received patient-directed e-health interventions, compared to standard care or control interventions. The studies had to focus on outcomes such as quality of life (QoL), anxiety, depression, and distress, and be limited to randomized controlled trials (RCTs). The PRISMA-P guidelines were followed. Risk of bias was assessed using the Cochrane risk-of-bias (RoB) tool for randomized controlled trials.Results: A total of 27 randomized studies, involving 2898 patients, were included in this systematic review. The e-health interventions significantly affected patients’ anxiety (SMD = −0.80; 95% CI: −1.33 to −0.27;p< 0.01; and I2= 94%), depression (SMD = −0.74; 95% CI: −1.40 to −0.09;p= 0.026; and I2= 95%) and QoL (SMD = 0.65; 95% CI: 0.27 to 1.04;p< 0.01; and I2= 90%) but had no significant effect on distress (SMD = −0.78; 95% CI: −1.93 to 0.37;p= 0.184; and I2= 95%).Conclusions: This study showed that e-health interventions can improve QoL, reduce anxiety, and decrease depression in adult BC patients. However, no noticeable impact on reducing distress levels was observed. Additionally, given the diversity of interventions, these results should be interpreted with caution. To determine the optimum duration, validate different intervention approaches, and address methodological gaps in previous studies, more extensive clinical studies are needed.
**背景/目的:** 乳腺癌在全球范围内发病率显著。恶性肿瘤本身及其相关治疗对患者的整体健康状况有重大影响。面向患者的电子健康解决方案在全球范围内正迅速普及,因为这些创新工具在改善乳腺癌患者的心理健康和生活质量方面具有巨大潜力。然而,其总体影响仍在探索中,需要进一步的理解和分析。本综述旨在呈现、量化并总结现有的随机证据,这些证据涉及在乳腺癌治疗前、治疗期间及治疗后,通过电子健康应用程序为患者心理健康和生活质量提供支持性干预措施的最新进展。 **方法:** 于2024年11月7日,遵循PRISMA指南,在Scopus和PubMed数据库中进行了系统综述,以识别在乳腺癌患者中应用基于互联网干预措施的研究。纳入标准如下:诊断为乳腺癌的成年男性和女性(年龄>18岁),接受针对患者的电子健康干预,并与标准护理或对照干预进行比较。研究必须关注生活质量、焦虑、抑郁和痛苦等结局指标,并仅限于随机对照试验。遵循PRISMA-P指南。使用Cochrane随机对照试验偏倚风险评估工具评估偏倚风险。 **结果:** 本系统综述共纳入27项随机研究,涉及2898名患者。电子健康干预显著影响了患者的焦虑(SMD = -0.80;95% CI:-1.33 至 -0.27;p < 0.01;I² = 94%)、抑郁(SMD = -0.74;95% CI:-1.40 至 -0.09;p = 0.026;I² = 95%)和生活质量(SMD = 0.65;95% CI:0.27 至 1.04;p < 0.01;I² = 90%),但对痛苦无显著影响(SMD = -0.78;95% CI:-1.93 至 0.37;p = 0.184;I² = 95%)。 **结论:** 本研究表明,电子健康干预可以改善成年乳腺癌患者的生活质量,减轻焦虑和抑郁。然而,未观察到其对降低痛苦水平有明显影响。此外,鉴于干预措施的多样性,应谨慎解读这些结果。为了确定最佳干预时长、验证不同的干预方法并弥补先前研究的方法学不足,需要进行更广泛的临床研究。