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The recent lifestyle has put many people in a state of high stress, and the outbreak of COVID-19 in recent years has caused a steady increase in the number of people diagnosed with "Coronasomnia" (Covid-somnia) after recovering from the disease. For reasons outlined above, a lot number of people were suffering from Insomnia. To propose some method to improve patients' sleep disorders become a popular research issue. The American Academy of Sleep Medicine strongly recommends using the Cognitive Behavioral Therapy for insomnia (CBT-I) method, one of the non-pharmacological treatments for insomnia. However, CBT-I is primarily a physical therapy, so patients may not be able to access this therapy due to time and location constraints. This project aims to combine the technology of Cognitive Behavioral Therapy for Insomnia (CBT-I) and chatbot to help insomnia patients learn more about their sleep habits and improve their sleep quality at home through remote access. Investigators will design a friendly chatbot based on the CBT-I concept to assist insomnia patients to improve their sleep quality and life quality.
This project will be executed at Taipei Municipal Wanfang Hospital. Patients of insomnia will be referred by the attending physician from outpatient clinic. It is estimated that 120 patients will be enrolled, 60 in the experimental group and 60 in the control group. The experimental group will receive four weeks of cognitive behavioral therapy for insomnia via a chatbot, while the control group will be treated as usual. Patients will be assessed for improvement in sleep severity at the end of four weeks and follow up after 12 weeks.
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Inclusion criteria
Age ≥ 18
Significant insomnia symptoms, including difficulty initiating sleep, difficulty maintaining sleep, early-morning awakening.
The sleep difficulty occurs at least three nights per week and is present for at least 3 months.
Patient possess a personal internet-connected cell phone or communicator.
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72 participants in 2 patient groups, including a placebo group
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Data sourced from clinicaltrials.gov
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