Tine Nordgreen

Self-help treatment of anxiety disorders: a meta-analysis and meta-regression of effects and potential moderators.

Self-help treatments have the potential to increase the availability and affordability of evidence-based treatments for anxiety disorders. Although promising, previous research results are heterogeneous, indicating a need to identify factors that moderate treatment outcome. The present article reviews the literature on self-help treatment for anxiety disorders among adults, with a total sample of 56 articles with 82 comparisons. When self-help treatment was compared to wait-list or placebo, a meta-analysis indicated a moderate to large effect size (g=0.78). When self-help treatment was compared to face-to-face treatment, results indicated a small effect that favored the latter (g=-0.20). When self-help was compared to wait-list or placebo, subgroup analyses indicated that self-help treatment format, primary anxiety diagnosis and procedures for recruitment of subjects were related to treatment outcome in bivariate analyses, but only recruitment procedures remained significant in a multiple meta-regression analysis. When self-help was compared to face-to-face treatment, a multiple meta-regression indicated that the type of comparison group, treatment format and gender were significantly related to outcome. We conclude that self-help is effective in the treatment of anxiety disorders, and should be offered as part of stepped care treatment models in community services. Implications of the results and future directions are discussed.

Outcome predictors in guided and unguided self-help for social anxiety disorder

Internet-based self-help with therapist guidance has shown promise as an effective treatment and may increase access to evidence-based psychological treatment for social anxiety disorder (SAD). Although unguided self-help has been suggested primarily as a population-based preventive intervention, some studies indicate that patients with SAD may profit from unguided self-help. Gaining knowledge about predictors of outcome in guided and unguided self-help for SAD is important to ensure that these interventions can be offered to those who are most likely to respond. Utilizing a sample of 245 patients who received either guided or unguided self-help for SAD, the present study examined pre-treatment symptoms and program factors as predictors of treatment adherence and outcome. The results were in line with previous findings from the face-to-face treatment literature: namely, the intensity of baseline SAD symptoms, but not depressive symptoms, predicted treatment outcomes in both unguided and guided self-help groups. Outcomes were unrelated to whether a participant has generalized versus specific SAD. Furthermore, for the unguided self-help group, higher credibility ratings of the treatment program were associated with increased treatment adherence. The findings suggest that guided and unguided self-help may increase access to SAD treatment in a population that is more heterogeneous than previously assumed.

Internet-supported versus face-to-face cognitive behavior therapy for depression

Major depression and depressive symptoms are highly prevalent and there is a need for different forms of psychological treatments that can be delivered from a distance at a low cost. In the present review the authors contrast face-to-face and Internet-delivered cognitive behavior therapy (ICBT) for depression. A total of five studies are reviewed in which guided ICBT was directly compared against face-to-face CBT. Meta-analytic summary statistics were calculated for the five studies involving a total of 429 participants. The average effect size difference was Hedge’s g = 0.12 (95% CI: −0.06–0.30) in the direction of favoring guided ICBT. The small difference in effect has no implication for clinical practice. The overall empirical status of clinician-guided ICBT for depression is commented on and future challenges are highlighted. Among these are developing treatments for patients with more severe and long-standing depression and for children, adolescents and the elderly. Also, there is a need to investigate mechanisms of change.

Guided self-help via internet for panic disorder: Dissemination across countries

Guided self-help via Internet is a promising way of treating panic disorder (PD). The present study examined the effects of a self-help program via Internet with weekly therapist contact for PD after disseminated to a new country. Predictors of outcome were also examined. The study was an open trial with 27 participants with PD with or without agoraphobia as their primary diagnose. Medium to large effects on PD-symptoms were reported after treatment and at 6months follow-up, with smaller effects on secondary outcome measures, i.e. depression, interpersonal problems, and sleep problem. The attrition rate of 30% in present study was higher than in Swedish studies. Predictor analysis showed that participants with longer duration of PD-symptoms had less improvement on all outcome measurers, whereas higher age predicted more improvement. The guided self-help program remained effective when disseminated to a new country, but the high attrition rate needs to be addressed in future studies.

The implementation of guided Internet-based cognitive behaviour therapy for panic disorder in a routine-care setting: effectiveness and implementation efforts

Abstract Panic disorder is a common mental disorder. Guided Internet-based cognitive behavioural therapy (Guided Internet-based cognitive behaviour therapy (ICBT)) is a promising approach to reach more people in need of help. In the present effectiveness study, we investigated the outcome of guided ICBT for panic disorder after implementation in routine care. A total of 124 patients were included in the study, of which 114 started the treatment. Large within-group effect sizes were observed on the primary panic disorder symptoms (post-treatment: d = 1.24; 6-month follow-up: d = 1.39) and moderate and large effects on secondary panic disorder symptoms and depressive symptoms at post-treatment and follow-up (d = .55–1.13). More than half (56.1%) of the patients who started treatment recovered or improved at post-treatment. Among treatment takers (completed at least five of the nine modules), 69.9% recovered or improved. The effectiveness reported in the present trial is in line with previous effectiveness and efficacy trials of guided ICBT for panic disorder. This provides additional support for guided ICBT as a treatment alternative in routine care.

Guided Internet-based cognitive behavioral therapy for mild and moderate depression: A benchmarking study

Major depression is among the most common and debilitating disorders worldwide, associated with large societal and individual costs. Effective treatments exist, but accessibility is scarce. Guided Internet-Based Cognitive Behavioral Therapy (guided iCBT) is a promising approach to reach more people in need of help. In the present pilot study, we investigated the outcome of a guided iCBT program for mild and moderate depression when disseminated from Sweden to Norway. The guided iCBT intervention was implemented within a university-based outpatient clinic by six student therapists under supervision. Twenty-two participants with mild and moderate depression were included in the study. Large treatment effects were found for depressive symptoms, whereas small to medium effects were observed for anxiety symptoms. More than half (55%) of the participants were classified as recovered at post-treatment and more than a third (41%) at follow-up. No participants had a significant deterioration from pre- to post-treatment, but two reported a significant deterioration from post-treatment to 6-month follow-up. Benchmarking the present results against those reported in the four original Swedish studies, we found that the treatment effect in the Norwegian study was slightly higher at post-treatment and slightly lower at 6-month follow-up compared to the outcome in the Swedish studies. The results should be interpreted with caution, as our sample was small and had no control group.

Internet- and Mobile-Based Psychological Interventions: Applications, Efficacy, and Potential for Improving Mental Health

The majority of mental health disorders remain untreated. Many limitations of traditional psychological interventions such as limited availability of evidence-based interventions and clinicians could potentially be overcome by providing Internet- and mobile-based psychological interventions (IMIs). This paper is a report of the Taskforce E-Health of the European Federation of Psychologists’ Association and will provide an introduction to the subject, discusses areas of application, and reviews the current evidence regarding the efficacy of IMIs for the prevention and treatment of mental disorders. Meta-analyses based on randomized trials clearly indicate that therapist-guided stand-alone IMIs can result in meaningful benefits for a range of indications including, for example, depression, anxiety, insomnia, or posttraumatic stress disorders. The clinical significance of results of purely self-guided interventions is for many disorders less clear, especially with regard to effects under routine care conditions. Studies on the prevention of mental health disorders (MHD) are promising. Blended concepts, combining traditional face-to-face approaches with Internet- and mobile-based elements might have the potential of increasing the effects of psychological interventions on the one hand or to reduce costs of mental health treatments on the other hand. We also discuss mechanisms of change and the role of the therapist in such approaches, contraindications, potential limitations, and risk involved with IMIs, briefly review the status of the implementation into routine health care across Europe, and discuss confidentiality as well as ethical aspects that need to be taken into account, when implementing IMIs. Internet- and mobile-based psychological interventions have high potential for improving mental health and should be implemented more widely in routine care.

The Short-Term Efficacy of an Unguided Internet-Based Cognitive-Behavioral Therapy for Insomnia: A Randomized Controlled Trial With a Six-Month Nonrandomized Follow-Up

ABSTRACT Objective: Insomnia is a major health problem, and the need for effective and accessible treatment is urgent. The aim of the current study was to evaluate the short-term efficacy of an unguided Internet-based cognitive-behavioral treatment program for insomnia (CBTi), called SHUTi (Sleep Healthy Using the Internet). Methods: This study used a parallel arm randomized controlled trial in Norway. Participants were randomly allocated to the SHUTi condition or a Web-based patient education condition. Both groups were assessed before and after the nine-week intervention period (online sleep diaries and questionnaires). The SHUTi participants were reassessed in a six-month nonrandomized follow-up. Primary outcome measures were the Insomnia Severity Index (ISI) and the Bergen Insomnia Scale (BIS). Results: A total of 181 participants were included in the study; SHUTi condition (n = 95), patient education condition (n = 86). Intention-to-treat mixed-model repeated-measures analysis revealed that the SHUTi group had better short-term outcomes compared with the patient education group on most sleep measures. The SHUTi group showed a significant decrease on the primary outcomes, the ISI (dbetween = –1.77, 95% CI = –2.23, –1.31) and the BIS (dbetween = –1.00, 95% CI = –1.32, –.68). Improvements were maintained among the completing SHUTi participants at the six-month nonrandomized follow-up. However, dropout attrition was high. Conclusion: Unguided Internet-based CBTi produced significant short-term improvements in sleep in patients with chronic insomnia. This highlights the benefits of making Internet-delivered CBTi programs available as a standard first-line treatment option in public health services. Nevertheless, the rate of dropout attrition (participants not completing post-assessment) in this trial limits the generalizability of the findings.

Towards Technology-Based Interventions for Improving Emotional and Cognitive Control

In this paper, we address designing for the delivery of timely cues to initiate skill-building exercises for improving emotional and cognitive control. W focus on adults with ADHD, as they frequently experience difficulties related to such control. We describe the design and current user experience evaluation of TimeOut - a skill-building assistive technology to be used by adults with ADHD to improve long-term mastery of self-regulatory abilities. TimeOut, in its current iteration, consists of a wristband monitoring physiological signals, visualization of these signals, an algorithm to prompt interventions, and the delivery of a skill-building exercise on a mobile phone.

Mental health monitoring with multimodal sensing and machine learning: A survey

Abstract Personal and ubiquitous sensing technologies such as smartphones have allowed the continuous collection of data in an unobtrusive manner. Machine learning methods have been applied to continuous sensor data to predict user contextual information such as location, mood, physical activity, etc. Recently, there has been a growing interest in leveraging ubiquitous sensing technologies for mental health care applications, thus, allowing the automatic continuous monitoring of different mental conditions such as depression, anxiety, stress, and so on. This paper surveys recent research works in mental health monitoring systems (MHMS) using sensor data and machine learning. We focused on research works about mental disorders/conditions such as: depression, anxiety, bipolar disorder, stress, etc. We propose a classification taxonomy to guide the review of related works and present the overall phases of MHMS. Moreover, research challenges in the field and future opportunities are also discussed.