Objective To construct the sequential management model of networked drug-cognitive behavior in patients with chronic insomnia,and to explore the effects of this model on treatment and management of patients with chronic insomnia. Methods A total of 160 patients with chronic insomnia treated from January 2014 to June 2015 were randomly divided into the experimental group and the control group. The experimental group was treated with networked drug-cognitive behavior sequential therapy and management. Through the establishment of patient management files in the network management system,the disease was assessed,treatment programs were developed, remote implementation of 8 weeks of drug-cognitive behavior sequential treatment was conducted,12 months of net-work remote dynamic management and efficacy evaluation was performed. The control group received 8 weeks of traditional medical care with face-to-face drug-cognitive behavior sequential treatment and 12 months outpatient fol-low-up management. Results Comparison of management core indicators:there were significant differences between two groups in number of visiting hospital,exit status,treatment completion and documentation,sleep diary comple-tion,sleep scale completion and patient satisfaction. Comparison of sleep quality:after 2 months of treatment,there was no difference in quality of sleep between two groups; after 12 months of treatment,there were significant dif-ferences in sleep latency,awakening time after sleep,total sleep time and sleep efficiency between two groups. Scale score:after 12 months of treatment,there were significant differences in Pittsburgh sleep quality index,sleep personal beliefs and attitude scale score between two groups. Conclusion Network-based management improves the compliance of patients with chronic insomnia,reduces the loss of follow-up rate,improves sleep cognition,increases sleep quality,saves patients' time and cost,increases patient satisfaction,which is worth promoting in clinical application.

Cross-Sectional Studies ; Urodynamics ; China