Frontiers in Sleep (Nov 2024)
Duration of insomnia and success expectancy predict treatment outcome of iCBT for insomnia
Abstract
IntroductionIdentifying prognostic factors of treatment outcome may assist in customizing an intervention to a patient's needs. Hence, we conducted a secondary analysis of data from a randomized controlled trial to investigate the effectiveness of an internet-based cognitive behavioral therapy for insomnia (iCBT-I) to find patient characteristics that may predict the change of insomnia severity after treatment.Materials and methodsIn this exploratory analysis involving 94 chronic insomnia patients, we examined the predictive value of several self-reported measures, medical history, and sociodemographic variables to psychological distress with separate linear regression models. The main outcome was the Insomnia Severity Index score improvement from pre- to post-treatmentResultsThe study found that duration of insomnia, b (SE) = −0.02 (0.01), p = 0.01, and attitudes about the expected treatment success, b (SE) = 0.80 (0.27), p = 0.004, were predictors of a better outcome. Moreover, a better outcome was associated with a lower level of the following traits: attention seeking, b (SE) = −1.06 (0.51), p = 0.04; grandiosity, b (SE) = −1.50 (0.57), p = 0.01; distractibility, b (SE) = −1.57 (0.75), p = 0.04; and rigid perfectionism, b (SE) = −1.32 (0.65), p = 0.05.ConclusionOur results suggest that iCBT-I might be particularly beneficial for patients with higher expectations from the therapy and those who have a shorter duration of insomnia. Some pronounced personality traits, such as attention seeking, grandiosity, distractibility, and rigid perfectionism, may predict worse outcomes. However, because this was a post-hoc analysis, our results must be considered exploratory and verified in further studies.Clinical trial registrationhttps://clinicaltrials.gov/study/NCT04300218?cond=NCT04300218&rank=1, Identifier NCT04300218.
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