乳腺癌长期以来都对患者的身体和心理健康产生了重大负担，在疾病的所有阶段都需要提供高质量的支持性护理。近年来技术的广泛应用，电子健康干预可能成为一种方便和易达的支持性护理方法。在这种情况下，我们进行了系统性回顾，以描述和量化电子健康在乳腺癌支持性护理中的使用。我们在MEDLINE、EMBASE和CINAHL数据库中搜索了2016至2021年（现在）发表的评估成人乳腺癌患者电子健康干预效果的原始研究。我们探讨了干预对患者症状、生活方式、满意度和障碍以及与可行性和实施相关的因素的影响。同时，每项研究的偏倚风险也进行了评估。研究结果根据癌症护理阶段进行呈现。我们共发现了43项相关研究，涵盖n=6,285名患者（30项随机对照试验和13项非随机干预性研究）；其中5项评估了新诊断的患者，16项评估了接受积极治疗的患者，22项评估了后治疗随访的患者。总共有19项研究使用了移动应用程序，18项使用了在线患者门户，5项使用了短信，1项同时使用了患者门户和短信。我们发现患者普遍对电子健康干预感到满意；但对症状和与生活方式有关的结局的结果不那么一致。8项研究被认为高偏倚风险。研究之间存在重大的异质性，这使得确定一致趋势具有挑战性。总体而言，未来的研究应继续探索电子健康在乳腺癌支持性护理中的应用，重点是改善患者症状。 版权所有© 2023 Elsevier Ltd.

Breast cancer places a substantial burden on patient physical and mental wellbeing, and the delivery of high-quality supportive care is essential at all stages of the disease. Given the increased uptake of technology in recent years, eHealth interventions may be a convenient and accessible method for supportive care. Within this context, we conducted a systematic review to describe and quantify the use of eHealth for breast cancer supportive care. We searched MEDLINE, EMBASE, and CINAHL databases for primary research studies published from 2016 to 2021 (present) that assessed the effects of eHealth interventions on adult patients with breast cancer. We explored the effects of the interventions on patient symptoms, lifestyle, satisfaction, and barriers, as well as factors related to feasibility and implementation. The risk of bias of each study was also assessed. Findings were presented according to stage of cancer care. We identified 43 relevant studies capturing n = 6,285 patients (30 randomized controlled trials and 13 non-randomized interventional studies); 5 evaluated patients who were newly diagnosed, 16 evaluated patients undergoing active treatment, and 22 evaluated patients in post-treatment follow-up. A total of 19 studies used mobile apps, 18 used online patient portals, 5 used text messaging, and 1 used both a patient portal and text messaging. We found that patients were broadly satisfied with the eHealth interventions; however, findings were less consistent for symptom and lifestyle-related outcomes. Eight studies were judged as high risk of bias. There was substantial between-study heterogeneity, which made it challenging to discern consistent trends. Overall, future research should continue to explore the use of eHealth for breast cancer supportive care, with a focus on improving patient symptoms.Copyright © 2023 Elsevier Ltd. All rights reserved.