主管:国家卫生健康委员会
主办:国家卫生计生委医院管理研究所
中国科学引文数据库(CSCD)来源期刊
中国科技论文统计源期刊 中国科技核心期刊
《中文核心期刊要目总览》入选期刊

Chinese Nursing Management ›› 2025, Vol. 25 ›› Issue (11): 1714-1719.doi: 10.3969/j.issn.1672-1756.2025.11.021

• Evidence-based Nursing • Previous Articles     Next Articles

Effectiveness of remote interventions for improving fatigue symptoms in multiple sclerosis patients: a Meta-analysis

YIN Na, WANG Xuan, ZHAO Jie, LIU Mengrao, LI Cuijing, CHANG Hong   

  1. Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, 100053, China
  • Online:2025-11-15 Published:2025-11-15
  • Contact: E-mail:changhong19791111@126.com

Abstract: Objective: To evaluate the effectiveness of mobile health (mHealth)-based remote interventions in improving fatigue in patients with Multiple Sclerosis (MS) and to provide evidence for fatigue management in this population. Methods: We systematically searched Chinese and English databases from inception to August 29, 2025. Two researchers independently screened studies and assessed their quality. Meta-analysis were performed using RevMan 5.4 and Stata 18 software. Results: Ten studies involving 761 MS patients (371 in intervention groups, 390 in control groups) were included. The Meta-analysis demonstrated that mHealth-based remote interventions yielded significantly greater immediate improvements in fatigue severity [SMD=-1.02, 95%CI(-1.92, -0.13)] and fatigue impact [SMD=-0.88, 95% CI (-1.62, -0.15)] compared to controls. Further subgroup analyses revealed that remote interventions with a duration of ≤12 weeks exerted a more pronounced immediate improvement effect on both fatigue severity [SMD=-0.59, 95%CI (-1.12, -0.06)] and fatigue impact [SMD= -0.77, 95%CI (-1.34, -0.20)] compared with the control group; Remote interventions delivered via group video conferencing demonstrated a superior immediate improvement effect on fatigue impact compared with the control group [SMD= -0.53, 95% CI (-0.93, -0.13)]. However, no statistically significant long-term effects were observed for either fatigue severity [MD=-0.21, 95% CI (-0.46, 0.05)] or fatigue impact [MD=-6.17, 95% CI (-12.48, 0.14)]. Conclusion: mHealth-based remote interventions can provide immediate relief for MS-related fatigue severity and impact. Future studies should incorporate longer follow-up assessments to enhance understanding of long-term fatigue management in MS patients.

Key words: multiple sclerosis; fatigue; remote intervention; Meta-analysis

CLC Number: R47;R197