0444 A Digital Therapy Based on Real-time Sleep Sensing Data

Abstract Introduction CBT-I has been known to be effective in treating insomnia. However, CBT-I showed problems such as shortage of medical staff and the need to visit the hospital several times. Therefore, CBT-I had implemented as digital CBT-I to overcome those demerits. However, it takes about over 6 weeks and is very tedious. In addition, it requires daily sleep diary to evaluate the efficacy of CBT-I treatment. These lowered patient’s compliance. To overcome this, a new digital CBT-I with sleep sensing device is proposed. Methods The proposed digital CBT-I was developed based on four basic ideas: (1) 17h of activity and 7h of sleep (2) discrepancy between desired time in bed (TIB) and desired total sleep time -DBST index (3) TIB during 24h and (4) taking sleeping pills 7h before wake-up time. The digital CBT-I consists of four weeks sessions: (1) sleep hygiene education (W0), (2) 17h of activity and 7h of sleep (W1), (3) educating about DBST index (W2), (4) TIB during 24h (W3), (5) final evaluation (W4). The clinical trial was a double-blind, randomized with 30 participants (15 test and 15 control) who were over ISI > 15 at W0. Conventional digital CBT-I were provided for control, and SOMNUM Scanning were used to record automatic sleep diary for all groups. Results ISI of test group were W0=18.9, W1=13.9, W2=12.0, W3=10.8, W4=10.2, and ISI of control group were W0=19.1, W1=16.1, W2=15.5, W3=14.2, W4=13.1. In terms of the proportion of participants whose ISI was reduced by < 15 at each visit, there was a significantly higher proportion in the test group than in the control group at W2 (83% vs. 43%,). Conclusion The results showed a significant improvement in ISI scores in both test and control groups. However, the mean ISI score of test group was significantly lower and the proportion of participants with ISI score below 15 points was also significantly higher at W2. This means that insomnia may improve at a faster rate when patients use the proposed this solution. This result also showed that automatic sleep diary recording by SOMNUM Scanning will be helpful to increase patient’s compliance. Support (if any)