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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2021-06-16
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en
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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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Faculteit der Sociale Wetenschappen