Efficacy of Digital Cognitive Behavioral Therapy for the Treatment of Insomnia Symptoms Among Pregnant Women: A Randomized Clinical Trial

Jennifer N Felder, Elissa S Epel, John Neuhaus, Andrew D Krystal, Aric A Prather, Jennifer N Felder, Elissa S Epel, John Neuhaus, Andrew D Krystal, Aric A Prather

Abstract

Importance: Despite the prevalence and adverse consequences of prenatal insomnia, a paucity of research is available regarding interventions to improve insomnia symptoms during pregnancy.

Objective: To test the efficacy of digital cognitive behavioral therapy for insomnia (CBT-I) compared with standard treatment among pregnant women with insomnia symptoms.

Design, setting, and participants: This randomized clinical trial enrolled pregnant women from November 23, 2016, to May 22, 2018. Of the 2258 women assessed for eligibility using an online self-report questionnaire, 208 were randomized to receive digital CBT-I (n = 105) or standard treatment (n = 103) for insomnia. Participants were pregnant up to 28 weeks' gestation, and they either had elevated insomnia symptom severity or met the criteria for insomnia caseness as determined by self-report questionnaires. Participants completed outcome measures at 10 weeks (postintervention) and 18 weeks (follow-up) after randomization. All study visits were completed remotely, and the intervention was delivered digitally. Data were analyzed between December 12, 2018, and July 2, 2019.

Interventions: Digital CBT-I consisted of 6 weekly sessions of approximately 20 minutes each. Standard treatment reflected standard care. Women receiving standard treatment had no limits placed on the receipt of nonstudy treatments, including medication and psychotherapy.

Main outcomes and measures: All outcomes were assessed remotely using self-report questionnaires administered via online survey. The primary outcome was the change in insomnia symptom severity (measured by the Insomnia Severity Index) from baseline to postintervention. Secondary outcomes were sleep efficiency and nightly sleep duration (defined by sleep diary), global sleep quality (measured by the Pittsburgh Sleep Quality Index), depressive symptom severity (measured by the Edinburgh Postnatal Depression Scale), and anxiety symptom severity (measured by the Generalized Anxiety Disorder Scale-7). For each outcome, we also examined the change from baseline to follow-up.

Results: The 208 participants had a mean (SD) age of 33.6 (3.7) years and a mean (SD) gestational age of 17.6 (6.3) weeks at baseline. Most of the participants were white (138 [66.3%]), married or cohabiting (196 [94.2%]), had a college degree (180 [86.5%]), and earned $100 000 or more per year (141 [67.8%]). Women randomized to receive digital CBT-I experienced statistically significantly greater improvements in insomnia symptom severity from baseline to postintervention compared with women randomized to receive standard treatment (time-by-group interaction, difference = -0.36; 95% CI, -0.48 to -0.23; χ2 = 29.8; P < .001; d = -1.03). Improvements from baseline to postintervention for all secondary outcomes, with the exception of sleep duration, were statistically significant. A similar pattern of results was evident for the change from baseline to follow-up.

Conclusions and relevance: In this trial, digital CBT was an effective, scalable, safe, and acceptable intervention for improving insomnia symptoms during pregnancy.

Trial registration: ClinicalTrials.gov identifier: NCT02805998.

Conflict of interest statement

Conflict of Interest Disclosures: Dr Felder reported receiving voucher codes for Sleepio, the digital cognitive behavioral therapy for insomnia intervention, from Big Health. All authors reported receiving grants from the National Institutes of Health during the conduct of the study. Dr Krystal reported receiving grants from Janssen Pharmaceuticals, Axsome Therapeutics, Reveal Biosensors, and the National Institutes of Health and personal fees from Adare, Axsome Therapeutics, Eisai, Ferring Pharmaceuticals, Galderma, Harmony Biosciences, Janssen Pharmaceuticals, Jazz Pharmaceuticals, Millennium Pharmaceuticals, Merck, Neurocrine Biosciences, Otsuka Pharmaceuticals, Pernix, Reveal Biosensors, and Takeda outside the submitted work. Dr Prather reported receiving grants from Headspace outside the submitted work. Dr Epel reported that she is a scientific advisor to Meru Health. No other disclosures were reported.

Figures

Figure.. CONSORT Diagram
Figure.. CONSORT Diagram

Source: PubMed

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