Aarhus University Hospital
Aarhus, 8000, Denmark
Location status: Recruiting
NCT Number: NCT06781203
Insomnia is a widespread public health challenge considering its impact on daily life, comorbidity with other disorders, and socio-economic costs. Previous research has shown the efficacy of cognitive behavioral therapy for insomnia (CBTI), and recent research indicates that digitally delivered CBTI (eCBTI) is highly efficacious, and statistically significantly equivalent to in-person delivered CBTI (ipCBTI) for treating insomnia. However, research is limited as to how eCBTI can be integrated into general practice as a non-pharmacological alternative to hypnotics. This study aims to evaluate the feasibility, acceptability, and effectiveness of a fully automated mobile application for treating insomnia in general practice. The secondary aims are to examine effects on psychological and physical comorbidities, possible moderators and mediators of the effect of eCBTI, and cost-effectiveness.
Interested in participating?
Request Info18 year and older
All sexes
Interventional
Not applicable
Aarhus, 8000, Denmark
Location status: Recruiting
Insomnia is prevalent in the general population (10%) and particularly so among patients in general practice (30-50%), with considerable costs to the individual and society. Hypnotics, which remain the most common treatment option in general practice, are usually not curative and are associated with risks of side effects, dependence, tolerance, and increased mortality. In contrast, cognitive behavioral therapy for insomnia (CBTI) has been shown to be highly efficacious and is recommended as the first-line treatment for insomnia by organizations such as the American Academy of Sleep Medicine, the American College of Physicians, and the European Sleep Research Society.
However, the challenge remains to make CBTI available to meet population needs due to several barriers, including a limited number of trained therapists, the costs of delivering CBTI face-to-face, and physical and geographical constraints. Digitally delivered CBTI (eCBTI) has been shown to be a possible approach to overcoming these challenges, but research on the effectiveness of eCBTI in a general practice setting remains limited.
Given the current lack of non-pharmacological treatment options for insomnia in general practice and the considerable potential of eCBTI to treat insomnia, the primary aim of the proposed study is to evaluate the feasibility, acceptability, and short- and longer-term efficacy of eCBTI for the treatment of insomnia in general practice. Our secondary aims are: a) to evaluate the possible benefits of treating insomnia on psychological and physical symptoms and comorbidities, b) to explore for whom the intervention works by examining the possible moderating effects of information technology proficiency and socio-demographic, clinical, and work-related factors, c) to investigate the possible working mechanisms, including changes in sleep-related cognitions and behaviors, and d) to assess the cost-effectiveness of the intervention.
The study is designed as a cluster-randomized controlled trial, randomizing general practitioners (GPs) from three Danish regions to screen patients for insomnia and offer either hvil®, a mobile-based program for delivering CBTI (eCBTI), or care as usual to those with moderate to-severe insomnia (ISI ≥ 10). A total of 2 X 50 GPs are expected to recruit a minimum of 2 X 250 patients who will complete the intervention. The intervention lasts 10 weeks, including an initial one-week assessment period.
The primary outcome is insomnia severity, assessed with the Insomnia Severity Index (ISI). Secondary sleep diary-based outcomes include sleep onset latency (SOL), wake after sleep onset (WASO), total sleep time (TST), time in bed (TiB), and sleep efficiency (SE). Secondary non-sleep outcomes include quality-of-life (QoL) and psychological and physical symptoms such as anxiety, depression, fatigue, and pain. Cost-effectiveness will be assessed using data on healthcare utilization, social benefits, and employment from Danish national registries. Outcomes will be assessed at baseline (week 0) (T1), halfway through the intervention (week 5), post-intervention (week 11) (T3), and follow-up (6 months) (T4).
Baseline group differences (concerning socio-demographic, disease-related, and psychosocial data) will be explored to test the success of the randomization. If differences are found, sensitivity analyses will be made to evaluate their possible influence on the results. Main effects will be analysed using Mixed Linear Models (MLMs) based on the intent-to-treat sample. MLMs account for the hierarchical, non-independent nature of the data (i.e., repeated measures nested within patients and treatment conditions), testing the time*group interaction effect, reflecting the effect of treatment. Moderation analyses will evaluate whether individual differences in various baseline variables (e.g., physical function, expectations, computer proficiency, chronotype, etc.) or treatment adherence influence intervention effects.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Based on the existing consensus concerning non-pharmacological treatment of insomnia, Hvil® includes the following treatment components: sleep hygiene, sleep optimization, stimulus control therapy, deactivation/relaxation training, and cognitive therapy. Intervention duration is approximately six to nine weeks.
Time frame: Baseline (week 0), post-treatment (approximately week 11), follow-up (approximately week 37)
Assessed with the Insomnia Severity Index (ISI), with scores ranging from 0 to 28, where higher scores indicate higher insomnia severity, and a score equal to or above 10 indicates clinical significance.
Time frame: Baseline (week 0), post-treatment (approximately week 11), follow-up (approximately week 37)
Assessed with the Consensus Sleep Diary (CSD), which measures sleep- and waking time, sleep onset latency (SOL), wakefulness after initial sleep onset (WASO), early morning awakenings (EMA), and risetime, allowing for total sleep time (TST), total time in bed (TIB), and sleep efficiency (SE) to be calculated.
Time frame: Baseline (week 0), post-treatment (approximately week 11), follow-up (approximately week 37)
Assessed with the Pittsburgh sleep quality index (PSQI), which measures clinically derived domains of sleep difficulties (i.e., subjective sleep quality, sleep latency, sleep duration, habitual sleep efficiency, sleep disturbances, use of sleep medication, and daytime dysfunction).
Time frame: Baseline (week 0), post-treatment (approximately week 11), follow-up (approximately week 37)
Assessed with the Functional Assessment of Chronic Illness Therapy for Fatigue (FACIT-Fatigue), which covers physical fatigue, functional fatigue, and social consequences of fatigue.
Time frame: Baseline (week 0), post-treatment (approximately week 11), follow-up (approximately week 37)
Assessed with the Dysfunctional Beliefs and Attitudes about Sleep Scale (DBAS-16).
Time frame: Baseline (week 0), post-treatment (approximately week 11), follow-up (approximately week 37)
Assessed with the Short Form Health Survey (SF-12), which addresses different aspects of emotional states and daily activities. The questionnaire allows for sub-scores for mental and physical health to be calculated based on population norms, with higher scores indicating better health
Time frame: Baseline (week 0), post-treatment (approximately week 11), follow-up (approximately week 37)
Assessed with the Depression, Anxiety, and Stress Scales-21 (DASS-21), which evaluates the constructs depression, anxiety, and stress on sub-scales.
Time frame: Baseline (week 0), post-treatment (approximately week 11), follow-up (approximately week 37)
Assessed with the 5-item World Health Organisation's Well-Being Index (WHO-5).
Time frame: Post-treatment (approximately week 11)
Assessed with the short version of the mHealth App Usability Questionnaire (MAUQ-S).
Time frame: Baseline (week 0), post-treatment (approximately week 11), follow-up (approximately week 37)
Assessed with the five-dimensional EuroQol (EQ-5D-5L), which measures self-reported health and well-being across five dimensions: mobility, self-care, usual activities, pain/discomfort and anxiety/depression, as well as overall health on a 0-100 VAS. A higher score indicates better quality of life.
Time frame: Throughout the study period, from study enrollment (week 0) to follow-up at 37 weeks
Assessed with data from Danish national registers on redeemed medicine prescriptions, use of primary and secondary health care services, long-term sickness absence
Contact information is provided by the study sponsor or research team.
Aarhus University Hospital
Other
Determination of Optimal Sleep Treatment Elements (The DOSE Project) - DISA RCT
Acronym: DISA
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