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Study Objectives: Insomnia and sleep problems are common in pregnancy and have potentially negative impacts on both parental and infant health. This study examined the sleeping for two adaptation of cognitive behavioral therapy for insomnia (CBT-I) in pregnancy., Methods: A parallel (1:1) randomized controlled trial evaluated CBT-I (n=32) compared to a treatment as usual (TAU) waitlist (n=32) among pregnant individuals from Alberta, Canada experiencing insomnia. Five weekly individual sessions of CBT-I pivoted from in-person delivery to telehealth due to COVID-19 pandemic physical distancing regulations. Insomnia symptom severity (primary outcome), insomnia diagnosis by structured interview, self-reported sleep problems, as well as sleep parameters measured by diary and actigraphy, were assessed pre-treatment at 12-28 weeks gestation (T1), one-week post-treatment (T2), and six months postpartum (T3). Birth information (secondary outcomes) were collected via delivery record and parent report of infant sleep (exploratory outcome) was taken at T3., Results: Multilevel modeling using an intention-to-treat approach showed that CBT-I was associated with a decrease in insomnia symptoms and improved sleep quality across time compared to TAU. The CBT-I group had fewer diagnoses of insomnia post-treatment, but the difference did not reach statistical significance until 6-months postpartum. Participants with worse sleep quality at baseline benefitted substantially more from CBT-I vs. TAU waitlist., Conclusions: CBT-I delivered in pregnancy can reduce symptoms of insomnia and improve sleep quality, which could in turn minimize risk of negative consequences for birthing parent and infant health., Clinical Trial Registration: Registry: ClinicalTrials.gov; Identifier: NCT03918057; Name: Sleeping for Two: RCT of CBT-Insomnia in Pregnancy; URL: https://www.clinicaltrials.gov/study/NCT03301727., (© 2024 American Academy of Sleep Medicine.)

The perinatal period (pregnancy and the first-year postpartum) is a time of increased vulnerability to mental health difficulties including emotion dysregulation. Research conducted on treatments targeting emotion dysregulation during this time is limited. Dialectical behavioral therapy (DBT) skills groups are considered the gold standard for targeting emotion dysregulation. We developed and evaluated the effectiveness of a seven-session DBT informed skills group (perinatal emotion regulation skills [Peri-ERS]) tailored to meet the unique emotion dysregulation experienced by women within the perinatal period. N = 41 perinatal women participated in the Peri-ERS group within the Women's Health Concern's Clinic, St. Joseph's Healthcare Hamilton. Participants completed a semistructured assessment to determine eligibility. They completed self-report symptom measures at baseline, Sessions 1-6, and posttreatment assessments. Paired-samples t tests, Cohen's d , and Friedman's rank tests were run to examine change over time. Reliable and clinical change index (RCI) analysis was conducted on emotion dysregulation. Participants demonstrated significant improvements in all symptom domain measures. Forty-eight percent of participants exhibited reliable clinical change on emotion dysregulation. These findings suggest the Peri-ERS group is effective in reducing emotion dysregulation symptoms for perinatal women. These results are promising as this novel treatment addresses a gap in the literature and may potentially be implemented in women's health clinics as a way of improving overall perinatal care. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Background: Preeclampsia affects between 2% and 5% of pregnant people in North America. First-trimester preeclampsia screening based on the Fetal Medicine Foundation risk calculation algorithm combined with treatment of high-risk patients with aspirin effectively reduces the incidence of preterm preeclampsia more than the currently used risk factor-based screening. However, the impact of such screening on patient satisfaction and maternal anxiety is unknown., Objective: This study aimed to assess the impact of first-trimester prediction and prevention of preterm preeclampsia on patient satisfaction and anxiety., Study Design: Consenting pregnant patients participating in a local first-trimester (11-13+6 weeks) preterm preeclampsia screening and prevention implementation study 1 were contacted 6 weeks postpartum to complete an online patient satisfaction survey, designed to assess their satisfaction with the screening program and their levels of trait anxiety (using an abbreviated version of the State-Trait Anxiety Inventory [STAIT-5]). In addition to assessing overall patient satisfaction, the level of patient satisfaction was stratified and compared according to levels of patient risk for preterm preeclampsia., Results: Between June 2021 and December 2021, surveys were emailed to 765 participants. The response rate was 47.80% (358/765). Overall, 93% of participants reported high levels of satisfaction with preterm preeclampsia screening (70%-100%), and 98% stated that they would recommend the screening to all pregnant patients. With respect to levels of satisfaction with the program's support in reducing feelings of worry and anxiety, 87.9% of the total sample reported high satisfaction (70%-100%). The level of clinically significant symptoms of anxiety did not differ significantly between low- and high-risk groups (8% vs 10.8%, respectively)., Conclusion: Overall, first-trimester preeclampsia screening was associated with high patient satisfaction and did not lead to differences in patient anxiety between those with high- and low-risk screen results., (© 2023 The Authors.)

Background: Pregnancy is associated with an increased risk for depression, anxiety, and insomnia. eHealth interventions provide a promising and accessible treatment alternative to face-to-face interventions., Objective: The objective of this systematic review and meta-analysis is to determine the effectiveness of eHealth interventions in preventing and treating depression, anxiety, and insomnia during pregnancy. Secondary aims are to identify demographic and intervention moderators of effectiveness., Methods: A total of 5 databases (PsycINFO, Medline, CINAHL, Embase, and Cochrane) were searched from inception to May 2021. Terms related to eHealth, pregnancy, randomized controlled trials (RCTs), depression, anxiety, and insomnia were included. RCTs and pilot RCTs were included if they reported an eHealth intervention for the prevention or treatment of depression, anxiety, or insomnia in pregnant women. Study screening, data extractions, and quality assessment were conducted independently by 2 reviewers from an 8-member research team (KAS, PRS, Hangsel Sanguino, Roshni Sohail, Jasleen Kaur, Songyang (Mark) Jin, Makayla Freeman, and Beatrice Valmana). Random-effects meta-analyses of pooled effect sizes were conducted to determine the effect of eHealth interventions on prenatal mental health. Meta-regression analyses were conducted to identify potential moderators., Results: In total, 17 studies were included in this review that assessed changes in depression (11/17, 65%), anxiety (10/17, 59%), and insomnia (3/17, 18%). Several studies included both depression and anxiety symptoms as outcomes (7/17, 41%). The results indicated that during pregnancy, eHealth interventions showed small effect sizes for preventing and treating symptoms of anxiety and depression and a moderate effect size for treating symptoms of insomnia. With the exception of intervention type for the outcome of depressive symptoms, where mindfulness interventions outperformed other intervention types, no significant moderators were detected., Conclusions: eHealth interventions are an accessible and promising resource for treating symptoms of anxiety, depression, and insomnia during pregnancy. However, more research is necessary to identify ways to increase the efficacy of eHealth interventions for this population., Trial Registration: PROSPERO (International Prospective Register of Systematic Reviews) CRD42020205954; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=205954., (©Katherine A Silang, Pooja R Sohal, Katherine S Bright, Jennifer Leason, Leslie Roos, Catherine Lebel, Gerald F Giesbrecht, Lianne M Tomfohr-Madsen. Originally published in JMIR Mental Health (https://mental.jmir.org), 21.02.2022.)