Jaap Lancee

Guided Internet-delivered cognitive behavioural treatment for insomnia: a randomized trial

BACKGROUND Insomnia is a prevalent problem with a high burden of disease (e.g. reduced quality of life, reduced work capacity) and a high co-morbidity with other mental and somatic disorders. Cognitive behavioural therapy (CBT) is effective in the treatment of insomnia but is seldom offered. CBT delivered through the Internet might be a more accessible alternative. In this study we examined the effectiveness of a guided Internet-delivered CBT for adults with insomnia using a randomized controlled trial (RCT). METHOD A total of 118 patients, recruited from the general population, were randomized to the 6-week guided Internet intervention (n = 59) or to a wait-list control group (n = 59). Patients filled out an online questionnaire and a 7-day sleep diary before (T0) and after (T1) the 6-week period. The intervention group received a follow-up questionnaire 3 months after baseline (T2). RESULTS Almost three-quarters (72.9%) of the patients completed the whole intervention. Intention-to-treat (ITT) analysis showed that the treatment had statistically significant medium to large effects (p < 0.05; Cohens d between 0.40 and 1.06), and resulted more often in clinically relevant changes, on all sleep and secondary outcomes with the exception of sleep onset latency (SOL) and number of awakenings (NA). There was a non-significant difference in the reduction in sleep medication between the intervention (a decrease of 6.8%) and control (an increase of 1.8%) groups (p = 0.20). Data on longer-term effects were inconclusive. CONCLUSIONS This study adds to the growing body of literature that indicates that guided CBT for insomnia can be delivered through the Internet. Patients accept the format and their sleep improves.

BASELINE DEPRESSION LEVELS DO NOT AFFECT EFFICACY OF COGNITIVE-BEHAVIORAL SELF-HELP TREATMENT FOR INSOMNIA

Cognitive‐behavioral therapy can effectively treat insomnia (CBT‐I). Randomized controlled trials have shown efficacy of self‐help CBT‐I, but unclear is whether excluding depressive patients boosted treatment effects.

Cognitive-behavioral self-help treatment for nightmares: a randomized controlled trial.

Background: Several cognitive-behavioral techniques are effective in reducing nightmare frequency, but the therapeutic factor (e.g. cognitive restructuring, systematic desensitization) remains unclear. The aim of this study was to compare the nightmare treatments imagery rehearsal therapy (IRT), exposure, and recording (keeping a diary) – in a self-help format – with a waiting list. Methods: Participants were recruited through a Dutch nightmare website. After completion of the baseline questionnaires, 399 participants were randomly assigned to a condition, received a 6-week self-help treatment (or were placed on the waiting list), and filled out the post-treatment measurements 11 weeks after baseline. Results: Compared to the waiting list, IRT and exposure were effective in ameliorating nightmare frequency and distress, subjective sleep quality, anxiety (after imagery rehearsal), and depression (after exposure; Δd = 0.25–0.56). Compared to recording, IRT reduced nightmare frequency while exposure reduced nightmare distress (Δd = 0.20–0.30; p < 0.05). The recording condition was more effective compared to the waiting list in ameliorating nightmare frequency, nightmare distress, and subjective sleep quality (Δd = 0.19–0.28; p < 0.05). IRT had a more rapid reduction on the diary compared to exposure and recording. Conclusions: IRT and exposure appear equally effective in ameliorating nightmare complaints. Exposure to nightmare imagery may function as the crucial therapeutic factor; however, cognitive restructuring may be a useful addition to increase immediate effects.

Guided Online or Face-to-Face Cognitive Behavioral Treatment for Insomnia: A Randomized Wait-List Controlled Trial.

STUDY OBJECTIVES To compare the efficacy of guided online and individual face-to-face cognitive behavioral treatment for insomnia (CBT-I) to a wait-list condition. METHODS A randomized controlled trial comparing three conditions: guided online; face-to-face; wait-list. Posttest measurements were administered to all conditions, along with 3- and 6-mo follow-up assessments to the online and face-to-face conditions. Ninety media-recruited participants meeting the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) criteria for insomnia were randomly allocated to either guided online CBT-I (n = 30), individual face-to-face CBT-I (n = 30), or wait-list (n = 30). RESULTS At post-assessment, the online (Cohen d = 1.2) and face-to-face (Cohen d = 2.3) intervention groups showed significantly larger treatment effects than the wait-list group on insomnia severity (insomnia severity index). Large treatment effects were also found for the sleep diary estimates (except for total sleep time), and anxiety and depression measures (for depression only in the face-to-face condition). Face-to-face treatment yielded a statistically larger treatment effect (Cohen d = 0.9) on insomnia severity than the online condition at all time points. In addition, a moderate differential effect size favoring face-to-face treatment emerged at the 3- and 6-mo follow-up on all sleep diary estimates. Face-to-face treatment further outperformed online treatment on depression and anxiety outcomes. CONCLUSIONS These data show superior performance of face-to-face treatment relative to online treatment. Yet, our results also suggest that online treatment may offer a potentially cost-effective alternative to and complement face-to-face treatment. CLINICAL TRIAL REGISTRATION Clinicaltrials.gov, NCT01955850. COMMENTARY A commentary on this article appears in this issue on page 13.

Internet-based exposure and behavioral activation for complicated grief and rumination: a randomized controlled trial

This study examined the effectiveness and feasibility of therapist-guided Internet-delivered exposure (EX) and behavioral activation (BA) for complicated grief and rumination. Forty-seven bereaved individuals with elevated levels of complicated grief and grief rumination were randomly assigned to three conditions: EX (N=18), BA (N=17), or a waiting-list (N=12). Treatment groups received 6 homework assignments over 6 to 8weeks. Intention-to-treat analyses showed that EX reduced complicated grief, posttraumatic stress, depression, grief rumination, and brooding levels relative to the control group at posttreatment (d=0.7-1.2). BA lowered complicated grief, posttraumatic stress, and grief rumination levels at posttreatment (d=0.8-0.9). At 3-month follow-up, effects of EX were maintained on complicated grief and grief rumination (d=0.6-1.2), and for BA on complicated grief, posttraumatic stress, and grief rumination (d=0.8-0.9). EX reduced depression more strongly than BA (d=0.6). Completers analyses corroborated results for EX, and partially those for BA, but no group differences were detected. BA suffered from high dropout (59%), relative to EX (33%) and the waiting-list (17%). Feasibility appeared higher for EX than BA. Results supported potential applicability of online exposure but not behavioral activation to decrease complicated grief and rumination.

Sleep-Related Safety Behaviors and Dysfunctional Beliefs Mediate the Efficacy of Online CBT for Insomnia: A Randomized Controlled Trial

Several trials have demonstrated the efficacy of online cognitive behavioral therapy (CBT) for insomnia. However, few studies have examined putative mechanisms of change based on the cognitive model of insomnia. Identification of modifiable mechanisms by which the treatment works may guide efforts to further improve the efficacy of insomnia treatment. The current study therefore has two aims: (1) to replicate the finding that online CBT is effective for insomnia and (2) to test putative mechanism of change (i.e., safety behaviors and dysfunctional beliefs). Accordingly, we conducted a randomized controlled trial in which individuals with insomnia were randomized to either online CBT for insomnia (n = 36) or a waiting-list control group (n = 27). Baseline and posttest assessments included questionnaires assessing insomnia severity, safety behaviors, dysfunctional beliefs, anxiety and depression, and a sleep diary. Three- and six-month assessments were administered to the CBT group only. Results show moderate to large statistically significant effects of the online treatment compared to the waiting list on insomnia severity, sleep measures, sleep safety behaviors, and dysfunctional beliefs. Furthermore, dysfunctional beliefs and safety behaviors mediated the effects of treatment on insomnia severity and sleep efficiency. Together, these findings corroborate the efficacy of online CBT for insomnia, and suggest that these effects were produced by changing maladaptive beliefs, as well as safety behaviors. Treatment protocols for insomnia may specifically be enhanced by more focused attention on the comprehensive fading of sleep safety behaviors, for instance through behavioral experiments.

Adherence to technology-mediated insomnia treatment: a meta-analysis, interviews, and focus groups

Background Several technologies have been proposed to support the reduction of insomnia complaints. A user-centered assessment of these technologies could provide insight into underlying factors related to treatment adherence. Objective Gaining insight into adherence to technology-mediated insomnia treatment as a solid base for improving those adherence rates by applying adherence-enhancing strategies. Methods Adherence to technology-mediated sleep products was studied in three ways. First, a meta-analysis was performed to investigate adherence rates in technology-mediated insomnia therapy. Several databases were queried for technology-mediated insomnia treatments. After inclusion and exclusion steps, data from 18 studies were retrieved and aggregated to find an average adherence rate. Next, 15 semistructured interviews about sleep-support technologies were conducted to investigate perceived adherence. Lastly, several scenarios were written about the usage of a virtual sleep coach that could support adherence rates. The scenarios were discussed in six different focus groups consisting of potential users (n=15), sleep experts (n=7), and coaches (n=9). Results From the meta-analysis, average treatment adherence appeared to be approximately 52% (95% CI 43%-61%) for technology-mediated insomnia treatments. This means that, on average, half of the treatment exercises were not executed, suggesting there is a substantial need for adherence and room for improvement in this area. However, the users in the interviews believed they adhered quite well to their sleep products. Users mentioned relying on personal commitment (ie, willpower) for therapy adherence. Participants of the focus groups reconfirmed their belief in the effectiveness of personal commitment, which they regarded as more effective than adherence-enhancing strategies. Conclusions Although adherence rates for insomnia interventions indicate extensive room for improvement, users might not consider adherence to be a problem; they believe willpower to be an effective adherence strategy. A virtual coach should be able to cope with this “adherence bias” and persuade users to accept adherence-enhancing strategies, such as reminders, compliments, and community building.

Imagery Rehearsal Therapy in Addition to Treatment as Usual for Patients With Diverse Psychiatric Diagnoses Suffering From Nightmares: A Randomized Controlled Trial

OBJECTIVE Nightmares are associated with psychopathology and daily distress. They are highly prevalent in a psychiatric population (30%). Currently, imagery rehearsal therapy (IRT) is the treatment of choice for nightmares. With IRT, the script of the nightmare is changed into a new dream, which is imagined during the day. However, the effects of IRT in a psychiatric population remain unknown. The aim of this study was to determine the effectiveness of IRT in a heterogeneous psychiatric population. METHOD Between January 2006 and July 2010, 90 patients with psychiatric disorders (DSM-IV-TR) were randomized to IRT or treatment-as-usual conditions. IRT consisted of 6 individual sessions added to the treatment as usual. Nightmare frequency was assessed using daily nightmare logs and the Nightmare Frequency Questionnaire. Nightmare distress was assessed using the Nightmare Distress Questionnaire and the Nightmare Effects Survey. General psychiatric symptoms were assessed using the Symptom Checklist-90 and a PTSD symptom questionnaire. Assessments were administered at the start of the trial, after the IRT and at follow-up 3 months later. RESULTS IRT showed a moderate effect (Cohen d = 0.5-0.7, P < .05) on nightmare frequency, nightmare distress, and psychopathology measures compared with treatment as usual. These effects were largely sustained at the 3-month follow-up (Cohen d = 0.4-0.6, P < .10). CONCLUSIONS IRT is an effective treatment for nightmares among patients with comorbid psychiatric disorders and can be employed in addition to the on-going treatment. TRIAL REGISTRATION ClinicalTrials.gov identifier: NCT00291031.

The effect of support on internet-delivered treatment for Insomnia: Does baseline depression severity matter?

Internet-delivered cognitive-behavioral treatment is effective for insomnia. However, little is known about the beneficial effects of support. Recently we demonstrated that motivational support moderately improved the effects of Internet-delivered treatment for insomnia. In the present study, we tested whether depressive symptoms at baseline moderate the effect of support on Internet-delivered treatment for insomnia. We performed a multilevel intention-to-treat analysis on 262 participants in a randomized controlled trial. We found that baseline depressive symptoms moderated the effect of support on sleep efficiency, total sleep time, and sleep onset latency (but not on wake after sleep onset, number of nightly awakenings, or the Insomnia Severity Index). This means that for these variables, people with high levels of depressive symptoms benefit from support, whereas people with low levels of depressive symptoms improve regardless of support. The data show that baseline depression severity plays an important role in the way Internet treatments need to be delivered. These findings open up opportunities to personalize the support offered in Internet-delivered treatments.

Improving Adherence in Automated e-Coaching

Non-adherence is considered a problem that seriously undermines the outcome of behavior change therapies, in particular of self-help therapies delivered without human interference. This paper presents the design rationale behind a computer system in the domain of adherence enhancing strategies in automated e-coaching. A variety of persuasive strategies is introduced and implemented in a mobile e-coaching system in the domain of insomnia therapy. The system integrates two types of interface elements, i.e. dedicated tools and natural language conversation, to simplify therapy related activities and to include social strategies to improve motivation. We focus on the crucial role of communication and adaptation.