scholarly journals Treating Insomnia with High Risk of Depression Using Therapist-Guided Digital Cognitive, Behavioral, and Circadian Rhythm Support Interventions to Prevent Worsening of Depressive Symptoms: A Randomized Controlled Trial

2021 ◽  
pp. 1-12
Author(s):  
Jeanne Leerssen ◽  
Oti Lakbila-Kamal ◽  
Laura M.S. Dekkers ◽  
Savannah L.C. Ikelaar ◽  
Anne C.W. Albers ◽  
...  

<b><i>Introduction:</i></b> The global disease burden of major depressive disorder urgently requires prevention in high-risk individuals, such as recently discovered insomnia subtypes. Previous studies targeting insomnia with fully automated eHealth interventions to prevent depression are inconclusive: dropout was high and likely biased, and depressive symptoms in untreated participants on average improved rather than worsened. <b><i>Objective:</i></b> This randomized controlled trial aimed to efficiently prevent the worsening of depressive symptoms by selecting insomnia subtypes at high risk of depression for internet-based circadian rhythm support (CRS), cognitive behavioral therapy for insomnia (CBT-I), or their combination (CBT-I+CRS), with online therapist guidance to promote adherence. <b><i>Methods:</i></b> Participants with an insomnia disorder subtype conveying an increased risk of depression (<i>n</i> = 132) were randomized to no treatment (NT), CRS, CBT-I, or CBT-I+CRS. The Inventory of Depressive Symptomatology – Self Report (IDS-SR) was self-administered at baseline and at four follow-ups spanning 1 year. <b><i>Results:</i></b> Without treatment, depressive symptoms indeed worsened (<i>d</i> = 0.28, <i>p</i> = 0.041) in high-risk insomnia, but not in a reference group with low-risk insomnia. Therapist-guided CBT-I and CBT-I+CRS reduced IDS-SR ratings across all follow-up assessments (respectively, <i>d</i> = –0.80, <i>p</i> = 0.001; <i>d</i> = –0.95, <i>p</i> &#x3c; 0.001). Only CBT-I+CRS reduced the 1-year incidence of clinically meaningful worsening (<i>p</i> = 0.002). Dropout during therapist-guided interventions was very low (8%) compared to previous automated interventions (57–62%). <b><i>Conclusions:</i></b> The findings tentatively suggest that the efficiency of population-wide preventive strategies could benefit from the possibility to select insomnia subtypes at high risk of developing depression for therapist-guided digital CBT-I+CRS. This treatment may provide effective long-term prevention of worsening of depressive symptoms. <b><i>Trial registration:</i></b> the Netherlands Trial Register (NL7359).

Author(s):  
Kelly A Hyland ◽  
Ashley M Nelson ◽  
Sarah L Eisel ◽  
Aasha I Hoogland ◽  
Javier Ibarz-Pinilla ◽  
...  

Abstract Background Cognitive behavioral therapy for targeted-therapy related fatigue (CBT-TTF) has demonstrated preliminary efficacy in reducing fatigue in patients treated with tyrosine kinase inhibitors (TKIs) for chronic myeloid leukemia (CML). Purpose The aim of the current analyses was to explore whether fatigue perpetuating factors (disturbed sleep/wake cycle, dysregulated activity patterns, maladaptive cognitions about fatigue and cancer, insufficient processing of cancer and treatment, inadequate social support and interactions, heightened fear of cancer progression) changed over time in patients receiving CBT-TTF, and whether the effect of CBT-TTF on fatigue was mediated by these factors. Methods Secondary data analyses were conducted from a pilot randomized controlled trial. Patients with CML treated with a TKI who reported moderate to severe fatigue were randomized 2:1 to CBT-TTF delivered via FaceTime for iPad or a waitlist control condition (WLC). Self-report measures of fatigue and fatigue perpetuating factors were obtained before randomization and post-intervention (i.e., approximately 18 weeks later). Mixed model and mediation analyses using bootstrap methods were used. Results A total of 36 participants (CBT-TTF n = 22, WLC n = 14) who had baseline and 18-week follow-up data and attended &gt;5 sessions for CBT-TTF were included. Participants randomized to CBT-TTF reported improvements in activity (mental, physical, social, p’s ≤ .023) and cognitions (helplessness, catastrophizing, focusing on symptoms, self-efficacy, p’s ≤ .003) compared to WLC. Mental activity, social activity, self-efficacy, helplessness, and focusing on symptoms, as well as sleep and insufficient processing (avoidance) mediated the relationship between treatment group and fatigue. Conclusions CBT-TTF appears to improve TKI-related fatigue in CML patients through changes in behavior (sleep, activity patterns) and cognitions about fatigue and cancer. A larger randomized controlled trial is warranted to confirm these findings.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
H. Riese ◽  
L. von Klipstein ◽  
R. A. Schoevers ◽  
D. C. van der Veen ◽  
M. N. Servaas

Abstract Background Major depressive disorder (MDD) is a highly prevalent mental disorder with large disease burden, high levels of relapse or persistence, and overall suboptimal outcomes of protocolized pharmacological and psychotherapeutic treatments. There is an urgent need to improve treatment effectiveness, possibly through systematic treatment personalization. In psychotherapeutic treatments this can be achieved by case conceptualization. To support this process, we developed the Therap-i module, which consists of personalized Experienced Sampling Methodology (ESM) and feedback. The Therap-i module is integrated into outpatient psychotherapeutic treatment as usual (TAU) for depression. The study aim is to investigate the efficacy of the Therap-i module in decreasing symptomatology in unresponsive or relapsing patients diagnosed with MDD. We hypothesize that the Therap-i module will contribute to TAU by i) decreasing depressive symptoms, and ii) improving general functioning, therapeutic working alliance, and illness perception. This paper provides details of the study rationale, aims, procedures, and a discussion on potential pitfalls and promises of the module. Methods Patients diagnosed with MDD (n = 100) will enrol in a pragmatic two-armed randomized controlled trial. Randomization is stratified according to the patient’s treatment resistance level assessed with the Dutch Method for quantification of Treatment Resistance in Depression (DM-TRD). All fill-out the Inventory of Depressive Symptomatology Self Report (IDS-SR), Outcome Questionnaire (OQ-45), Illness Perception Questionnaire Mental Health (IPQ-MH), and Work Alliance Inventory Self Report (WAI-SR). In the intervention arm, through close collaboration between patient, clinician, and researcher, a personalized ESM diary is developed based on the patient’s case conceptualization. During the ESM monitoring period (8 weeks, 5 assessments/day), patients receive feedback three times, which is discussed among the abovementioned three parties. Both patients and clinicians will evaluate the Therap-i module. Results Data collection is ongoing. Discussion This is the first study in which personalized ESM and feedback is integrated in outpatient psychotherapeutic TAU for depression. The labour intensive procedure and methodological pitfalls are anticipated challenges and were taken into account when designing the study. When hypotheses are confirmed, the Therap-i module may advance treatment for depression by providing insights into personalized patterns driving or perpetuating depressive complaints. Trial registration Trial NL7190 (NTR7381), registered prospectively 03-08-2018.


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