Demonstrate the effectiveness of mobile app-based cognitive behavioral therapy
Jul 30, 2024
A joint research team (first author: Professor Shin Ji-yoon of Uijeongbu Eulji University Hospital) led by Lee Yoo-jin of Seoul National University Hospital, Kim Seok-ju of Samsung Seoul Hospital, and Lee Heon-jung of the Department of Mental Health Medicine of Korea University Cancer Hospital proved the effectiveness of mobile cognitive behavior therapy (MCBTi) using the Somzz app, Korea's first digital treatment device.
As a result of the study, it was confirmed that Somz app-based MCBTi, which provides real-time customized feedback, is effective in treating chronic insomnia by improving insomnia severity, sleep efficiency, wakefulness after sleeping, sleep satisfaction, depression symptoms, and quality of life.
Insomnia is a common sleep disorder with a prevalence of about 10% in the general population, and its treatment is important because it adversely affects physical and mental health.
Insomnia Cognitive Behavioral Therapy (CBTi) is the primary treatment for chronic insomnia, but accessibility is limited due to time constraints of face-to-face treatment and lack of skilled professionals.
Mobile app-based cognitive behavioral therapy developed as a solution to this has the advantage of being able to easily provide treatment to more patients. Until now, there have been few studies evaluating the effectiveness of cognitive behavioral therapy through mobile apps, and few studies have rigorously verified them with multi-center, single-blind, and randomized research methods.
The study was conducted with a total of 98 participants recruited from Seoul National University Hospital, Samsung Medical Center, and Korea University Anam Hospital. Participants were adults diagnosed with chronic insomnia, randomized into a group (49) using the Somz app and a control group (49) using a simple sleep habit education app. Both groups had six sessions for six weeks, followed by four months of follow-up.
Sommes received real-time feedback on his sleep behavior, a sleep restriction that sets a personalized bedtime and wake-up timeI was given the law. In addition, they received stimulation control therapy, relaxation therapy, sleep habit education, and recurrence prevention education. The control group received basic sleep education through sleep hygiene education and audiovisual materials, allowing them to keep a daily sleep log.
The main evaluation index was 'Insomnia Severity Index (ISI)', and the sleep diary and mental health self-report questionnaire were used as supplementary indicators.
As a result of the study, the Sommes group had a significantly lower ISI score after the end of treatment and at 3-month follow-up. After the intervention, the ISI score in the Sommes group was 9.0, which was significantly lower than the 12.8 in the control group. In the 3-month follow-up, the ISI score of the Somz group was 11.3, which was lower than the control group's 14.7, confirming that the treatment effect lasted.
This shows that cognitive behavioral therapy for insomnia through the Somz app reduces the severity of insomnia more effectively. In particular, the rate of post-treatment insomnia remission (less than 8 ISI score) in the somz group was 45%, and the treatment response rate (less than 7 ISI score) was 57%. It has been demonstrated to be effective in reducing insomnia treatment results and symptoms.
In addition, sleep efficiency (SE) represents the ratio of the total sleep time divided by the time spent in bed, and the sleep efficiency of the somz group was 78.3%, higher than the control group's 70.6%. The wake-up time after sleep (WASO) was a measure of wake-up time after the start of sleep, with the somz group at 53.0 minutes, shorter than the control group's 65.3 minutes. This means that the quality of sleep has improved.
In terms of mental health indicators, Somz-gun also showed excellent results. The depression score (PHQ-9) was 6.6 in the somz group, lower than the 8.7 in the control group. The quality of life score (SF-36) was 72.4 in the Sommes group, higher than 63.5 in the control group.
The dropout rate during treatment of the somz group was as low as 12.2% (6 out of 49). This is lower than the dropout rate (up to 40%) of face-to-face insomnia cognitive behavioral therapy, showing high compliance with non-face-to-face digital treatment devices such as SOMZ.
The research team emphasized that this study is significant in that it is the first multicenter, single-blind, and randomized clinical trial to investigate not only sleep-related indicators but also their effects on mental health.
Professor Lee Yoo-jin (Department of Psychiatry at Seoul National University Hospital), the head of the clinical trial research, said, "This study shows that cognitive behavioral therapy through SOMZ, Korea's No. 1 digital therapy device, is very effective in treating insomnia. In particular, significant improvements have been shown in terms of insomnia severity, sleep efficiency, wakefulness time after sleep, sleep satisfaction, and mental health, suggesting that SOMZ can be useful as an efficient and accessible treatment for insomnia."
The findings were published in the latest issue of the journal Journal of Medical Internet Research (JMIR), an international academic journal in the field of digital health and medical informatics.
As a result of the study, it was confirmed that Somz app-based MCBTi, which provides real-time customized feedback, is effective in treating chronic insomnia by improving insomnia severity, sleep efficiency, wakefulness after sleeping, sleep satisfaction, depression symptoms, and quality of life.
Insomnia is a common sleep disorder with a prevalence of about 10% in the general population, and its treatment is important because it adversely affects physical and mental health.
Insomnia Cognitive Behavioral Therapy (CBTi) is the primary treatment for chronic insomnia, but accessibility is limited due to time constraints of face-to-face treatment and lack of skilled professionals.
Mobile app-based cognitive behavioral therapy developed as a solution to this has the advantage of being able to easily provide treatment to more patients. Until now, there have been few studies evaluating the effectiveness of cognitive behavioral therapy through mobile apps, and few studies have rigorously verified them with multi-center, single-blind, and randomized research methods.
The study was conducted with a total of 98 participants recruited from Seoul National University Hospital, Samsung Medical Center, and Korea University Anam Hospital. Participants were adults diagnosed with chronic insomnia, randomized into a group (49) using the Somz app and a control group (49) using a simple sleep habit education app. Both groups had six sessions for six weeks, followed by four months of follow-up.
Sommes received real-time feedback on his sleep behavior, a sleep restriction that sets a personalized bedtime and wake-up timeI was given the law. In addition, they received stimulation control therapy, relaxation therapy, sleep habit education, and recurrence prevention education. The control group received basic sleep education through sleep hygiene education and audiovisual materials, allowing them to keep a daily sleep log.
The main evaluation index was 'Insomnia Severity Index (ISI)', and the sleep diary and mental health self-report questionnaire were used as supplementary indicators.
As a result of the study, the Sommes group had a significantly lower ISI score after the end of treatment and at 3-month follow-up. After the intervention, the ISI score in the Sommes group was 9.0, which was significantly lower than the 12.8 in the control group. In the 3-month follow-up, the ISI score of the Somz group was 11.3, which was lower than the control group's 14.7, confirming that the treatment effect lasted.
This shows that cognitive behavioral therapy for insomnia through the Somz app reduces the severity of insomnia more effectively. In particular, the rate of post-treatment insomnia remission (less than 8 ISI score) in the somz group was 45%, and the treatment response rate (less than 7 ISI score) was 57%. It has been demonstrated to be effective in reducing insomnia treatment results and symptoms.
In addition, sleep efficiency (SE) represents the ratio of the total sleep time divided by the time spent in bed, and the sleep efficiency of the somz group was 78.3%, higher than the control group's 70.6%. The wake-up time after sleep (WASO) was a measure of wake-up time after the start of sleep, with the somz group at 53.0 minutes, shorter than the control group's 65.3 minutes. This means that the quality of sleep has improved.
In terms of mental health indicators, Somz-gun also showed excellent results. The depression score (PHQ-9) was 6.6 in the somz group, lower than the 8.7 in the control group. The quality of life score (SF-36) was 72.4 in the Sommes group, higher than 63.5 in the control group.
The dropout rate during treatment of the somz group was as low as 12.2% (6 out of 49). This is lower than the dropout rate (up to 40%) of face-to-face insomnia cognitive behavioral therapy, showing high compliance with non-face-to-face digital treatment devices such as SOMZ.
The research team emphasized that this study is significant in that it is the first multicenter, single-blind, and randomized clinical trial to investigate not only sleep-related indicators but also their effects on mental health.
Professor Lee Yoo-jin (Department of Psychiatry at Seoul National University Hospital), the head of the clinical trial research, said, "This study shows that cognitive behavioral therapy through SOMZ, Korea's No. 1 digital therapy device, is very effective in treating insomnia. In particular, significant improvements have been shown in terms of insomnia severity, sleep efficiency, wakefulness time after sleep, sleep satisfaction, and mental health, suggesting that SOMZ can be useful as an efficient and accessible treatment for insomnia."
The findings were published in the latest issue of the journal Journal of Medical Internet Research (JMIR), an international academic journal in the field of digital health and medical informatics.
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