Comparative Efficacy of Mind-Body Exercise for Treating Chronic Non-Specific Neck Pain: A Systematic Review and Network Meta-Analysis.

PURPOSE OF REVIEW: This systematic review and network meta-analysis aims to compare the efficacy of different mind-body exercise (MBE) interventions, including Yoga, Pilates, Qigong, and Tai Chi, in managing chronic non-specific neck pain (CNNP). We searched randomized controlled trials in PubMed, Embase, Web of Science and Cochrane Library. After screening eligible studies and extracting relevant data, risk of bias of included studies was assessed by the Cochrane Risk of Bias assessment tool, and network meta-analysis was performed by the Stata software version 16.0. RECENT FINDINGS: Of the 1019 studies retrieved, 18 studies with 1442 subjects were included. Fourteen studies were graded as high quality. Yoga plus hot sand fomentation was the most effective in reducing pain intensity and functional disability, and improving the quality of physical life in patients with CNNP. Yoga achieved the most improvement in cervical mobility. And Pilates was the best MBE intervention for improving the quality of mental life. Overall, Yoga, Pilates, Qigong, and Tai Chi demonstrated considerable effectiveness in improving pain intensity, functional disability, cervical mobility, and quality of life in patients with CNNP. Yoga or Yoga plus heat therapy was the most effective method for patients with CNNP. Additional high-quality, large-scale, multi-center, long-term follow-up studies are necessary to fully understand the comparative effectiveness of different MBE interventions for CNNP, and to recognize the potential benefits of each MBE intervention and the need for individualized treatment approaches.

[Development of Intelligent Infusion Management System].

OBJECTIVE: The intelligent infusion management system is established through intelligent internet of things, by using the gravity sensor, acceleration sensor and other equipment. METHODS: Establish an infusion management platform based on B/S architecture. Combined with the intelligent terminal and get the major values, including:the infusion speed, the remaining liquid and so on. Besides, it can integrate with the HIS, EMR and PDA. RESULTS: It has solved the data collection of the whole infusion process, realized the real-time visualization during the infusion, and improved the quality of nursing management. CONCLUSIONS: In the paper, it has been used in wards more than 2 years, which has reduced the workload of the infusion and improved the satisfaction of patients. At the same time, it has provided the infusion big data collection and statistics for the research and auxiliary treatment.