Integration of Virtual Reality and Traditional Acupuncture: From Education to Clinical Practice.

Chronic low back pain (cLBP) is one of the leading causes of disability and medical resource consumption worldwide, frequently disrupting patients' daily lives and work efficiency due to pain and restricted mobility. While traditional acupuncture has demonstrated clear efficacy in treating low back pain, patients in clinical settings often lack a clear understanding of the anatomical locations of the targeted acupoints and the needle insertion process. This lack of insight leads to reduced engagement in their treatment, which may, in turn, negatively affect treatment compliance and overall therapeutic outcomes.

In recent years, Virtual Reality (VR) technology has gained momentum in the field of pain management, utilizing visual immersion to enhance patient engagement and redirect attention. However, few studies to date have explored the application of modern VR technology within traditional Chinese medicine. Furthermore, existing research predominantly focuses on indirect therapeutic modes such as pain distraction or imagery therapy, rarely integrating VR directly with traditional acupuncture treatment itself.

Based on previous literature reviews and systematic reviews, acupuncturists select different acupuncture treatment protocols based on clinical experience, resulting in significant variation in acupoint selection across studies. Furthermore, because the experimental group must wear a virtual reality headset, a prone position is less feasible. Under this project, the study includes an Experimental Group 1 (Virtual Reality Acupuncture + Traditional Acupuncture), an Experimental Group 2 (Traditional Acupuncture), and a Control Group (Usual Conventional Physical Therapy or Medication Management).

Randomization will occur after baseline assessments and final eligibility confirmation. Participants will be randomly assigned in a 1:1:1 ratio to Experimental Group 1, Experimental Group 2, or the Control Group. The randomization sequence will utilize block randomization with variable block sizes of 4 and 6 to ensure allocation balance and minimize predictability. An independent biostatistician not involved in recruitment, assessment, or intervention procedures will generate the sequence.

The trial will evaluate Vital Signs (body temperature, blood pressure, pulse rate), Faces Pain Scale - Revised (FPS-R), Fingertip-to-Floor (FTF) distance, Oswestry Disability Index (ODI), and Heart Rate Variability (HRV).