Personalizing Digital Cognitive Behavioral Therapy for Insomnia Through Automation of Micro-Intervention Selection Based on Data from Wearable Technology; A Case Study on the Oura Ring

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Because of the low supply and high demand for the treatment of insomnia, researchers have decided to provide Cognitive Behavioral Therapy through digital means because it has the potential to reach many people. However, due to the large intended userbase it is very hard to personalize the treatment program, meaning that patients have to follow the long, full program. This leads to low adherence rates and therefore less efficacy. One way to increase personalization in these programs on such a scale, is through the integration of wearables. Currently this data is being used as an automated substitution of the sleep diary, even though this data can be used to reach a much higher level of personalization. For example by providing short, directly actionable interventions, from the superset of Cognitive Behavioral Therapy for Insomnia, to the user, that specifically target the sleep problems of the user. This is a much more effective way of helping patients.
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