Hemodialysis Clinical Trial
Official title:
Acupoint Stimulation Improves Fatigue and Sleep Quality in Patients With Postdialysis
Hemodialysis is a necessary treatment to prolong the lives of patients with end-stage kidney disease. However, long-term dialysis can lead to fatigue and decreased sleep quality. Acupoint stimulation can regulate meridians and improve physical function. Nevertheless, the effectiveness of low-level laser stimulation on fatigue and sleep quality in hemodialysis patients remains unclear. This study is designed to use low-level laser stimulation as an intervention measure to evaluate its effectiveness in improving fatigue and sleep quality in hemodialysis patients.
Hemodialysis is a necessary treatment to prolong the lives of patients with end-stage kidney disease. However, long-term dialysis can lead to fatigue and decreased sleep quality. Acupoint stimulation can regulate meridians and improve physical function. Nevertheless, the effectiveness of low-level laser stimulation on fatigue and sleep quality in hemodialysis patients remains unclear. This study is designed to use low-level laser stimulation as an intervention measure to evaluate its effectiveness in improving fatigue and sleep quality in hemodialysis patients. The experimental group will receive low-level laser stimulation on seven acupoints, including Shenmen (HT7), Neiguan (PC6), Hegu (LI4), Zusanli (ST36), Yanglingquan (GB34), Sanyinjiao (SP6), and Taixi (KI3). The stimulation will be administered three times per week for a duration of six weeks. The control group will receive sham low-level laser stimulation on the acupoints, without emitting laser beams. Before and after each intervention, fatigue will be measured using a visual analog scale for a total of 18 measurements. Additionally, at baseline and at the 2nd, 4th, and 6th weeks, the hemodialysis patients will be assessed using the Fatigue Scale for Hemodialysis Patients, Dialysis Recovery Time Scale, Pittsburgh Sleep Quality Index, Dialysis Symptom Index, and Beck Depression Inventory. ;
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