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Digital CBT-I versus stepped-care CBT-I to prevent depression one year later
Published online by Cambridge University Press: 19 July 2023
Abstract
Insomnia is a robust risk factor for depression. Treating insomnia with digital CBT-I (dCBT-I) has been shown to prevent future episodes of depression; however, remission rate of insomnia following dCBT-I is lower compared to face-to-face CBT-I (fCBT-I), which may reduce the effect on depression prevention. A stepped-care model can optimize care by starting with a least resource intensive intervention (step 1: dCBT-I) and stepping-up non-remitters to specialized treatment (step 2: face-to-face CBT-I).
This study examined the efficacy of a stepped-care approach to prevent depression.
1018 individuals with DSM-5 insomnia and no depression were randomized into two conditions at step 1: dCBT-I (n=613), or an online sleep education control (n=624). Participants in the dCBT-I condition who did not show remission for insomnia (ISI>9) were further randomized to either face-to-face CBT-I (n=103) or sleep education (n=104). Rates of clinically significant depression (moderate severity and above) was assessed at one-year follow-up.
Insomnia remission rates were higher in the dCBT-I group (40%) compared to the control group (22%). Those who did not remit following step-1 dCBT-I showed step-2 insomnia remission rates of 75% following fCBT-I compared to 38% following the step 2 control.
At one year follow-up, the incident rate of clinically significant depression was 2.4 times higher in those who received control (13.2%) compared to fCBT-I (5.5%) at step 2. Depression rate was 10.1% in those who did not receive dCBT-I at step-1.
Preliminary evidence from this study provide supported that a stepped-care approach may produce greater protection against incident depression than dCBT-I alone.
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- Information
- European Psychiatry , Volume 66 , Special Issue S1: Abstracts of the 31st European Congress of Psychiatry , March 2023 , pp. S110
- Creative Commons
- This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
- Copyright
- © The Author(s), 2023. Published by Cambridge University Press on behalf of the European Psychiatric Association
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