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Introduction: Internet interventions for alcohol problems are effective, but not all participants are helped. Further, the importance of adherence has often been neglected in research on internet interventions for alcohol problems. Prediction analysis can help in prospectively assessing participants’ probability of success, and ideally, this information could be used to tailor internet interventions to individual needs. Methods: Data were obtained from a randomized controlled trial on internet interventions for alcohol use disorders. Twenty-nine candidate predictors were run in univariate logistic regressions with two dichotomous dependent outcomes: adherence (defined as completing at least 60% of the treatment modules) and low-risk drinking (defined as drinking within national public health guidelines) at two time points – immediately post-treatment and at the 6-month follow-up. Significant predictors were entered hierarchically into domain-specific logistic regressions. In the final models, predictors still showing significant effects were run in multiple logistic regressions. Results: One predictor significantly predicted adherence: treatment credibility (as in how logical the treatment is and how successful one perceives the treatment to be) assessed during the third week of the intervention. Four predictors significantly predicted low-risk drinking at the post-treatment follow-up: pre-treatment abstinence (i.e., not drinking during the 7 days before treatment started), being of the male gender, and two personality factors – a low degree of antagonism and a high degree of alexithymia. At the 6-month follow-up, pre-treatment abstinence was the only significant predictor. Conclusion: Adherence was not predictive of low-risk drinking. Personality variables may have predictive value and should be studied further. Those who abstain from alcohol during the week before treatment starts have a higher likelihood of achieving low-risk drinking than people who initially co

Background Digital interventions based on cognitive–behavioural therapy and relapse prevention can increase treatment access for people with problematic alcohol use, but for these interventions to be cost-effective, clinician workload needs to remain low while ensuring patient adherence and effects. Digital psychological self-care is the provision of a self-guided digital intervention within a structured care process. Aims To investigate the feasibility and preliminary effects of digital psychological self-care for reducing alcohol consumption. Method Thirty-six adults with problematic alcohol use received digital psychological self-care during 8 weeks, including telephone assessments as well as filling out self-rated questionnaires, before, directly after and 3 months after the intervention. Intervention adherence, usefulness, credibility and use of clinician time were assessed, along with preliminary effects on alcohol consumption. The study was prospectively registered as a clinical trial (NCT05037630). Results Most participants used the intervention daily or several times a week. The digital intervention was regarded as credible and useful, and there were no reported adverse effects. Around 1 h of clinician time per participant was spent on telephone assessments. At the 3-month follow-up, preliminary within-group effects on alcohol consumption were moderate (standardised drinks per week, Hedge's g = 0.70, 95% CI = 0.19–1.21; heavy drinking days, Hedge's g = 0.60, 95% CI = 0.09–1.11), reflecting a decrease from 23 to 13 drinks per week on average. Conclusions Digital psychological self-care for reducing alcohol consumption appears both feasible and preliminarily effective and should be further optimised and studied in larger trials.

Objective: The labor market for mental health professionals increasingly requires competency in digital mental health treatment (DMHT). This presentation targets DMHT practitioners as course developers and teachers, describing proof-of-concept findings based on a) development of a remotely delivered DMHT course; and b) results from a qualitative evaluation of students’ experiences from the first course round. Methods: The course syllabus was developed through two structured workshops, attended by 11 stakeholders with DMHT experience. For the qualitative evaluation, interviews with seven women participants in the first course round were analyzed according to an inductive, phenomenographic approach. Results: The course development process established a 12-week syllabus covering historical development and evidence for DMHT and an 8-week DMHT clinical practicum treating students with common mental health problems. Examination was formulated as individual case reports encompassing reflections on a) the therapist and client roles; b) ethical aspects of DMHT; and c) future innovations for DMHT. The course is offered via a standard learning management system, with the practicum completed on a separate DMHT platform. The qualitative analysis of the first pilot course round, where students role-played therapists and clients, yielded six themes: overall course experience, treatment program and platform, therapist role, client role, supervision and the alliance. Conclusions: This proof-of-concept procedure led to course establishment in two formats: as an ordinary elective course for advanced clinical psychology students, and as a stand-alone national course for health professionals with basic psychotherapy training. Following local adaptation, the course could be replicated at additional universities globally., This work was supported by Uppsala University and funds from the Swedish Research Council.

BACKGROUND: Research shows that internet-based cognitive behavioural therapy (iCBT) is an effective treatment for depression. However, little is known about how the length of the text material in iCBT affects outcomes. OBJECTIVE: The aim of this study was to test whether a condensed iCBT version for depression would be non-inferior to the existing full-text version in reducing depressive symptoms at post-treatment. We also wanted to test non-inferiority for secondary outcomes and explore reading speed and ADHD symptoms as potential moderators. METHOD: A single-blind randomized controlled trial was conducted (N = 267) comparing two versions of guided iCBT for depression; full-text (around 60,000 words) and condensed (around 30,000 words, with the option to listen to the text). Estimated between-group effect sizes and their confidence intervals for depression, anxiety and quality of life, were compared to a pre-determined non-inferiority margin (ES = 0.4). Moderation analyses of reading speed and ADHD symptoms were conducted. RESULTS: The condensed version of iCBT was non-inferior to the full-text version on post-treatment measures for depressive symptoms (95 % CI = -0.42-0.24), anxiety symptoms (95 % CI = -0.24-0.32), and quality of life (95 % CI = -0.09-0.49). Non-inferiority was inconclusive for depressive symptoms at the one-year follow-up (95 % CI = -0.60-0.47). There was no significant moderation effects of reading speed (p = 0.06) or ADHD symptoms (p = 0.11) on depressive symptoms. CONCLUSION: These results indicate that a condensed version of iCBT for depression is as effective at treating depression as the full-text version. By shortening texts, iCBT may be made available to more people. Due to unequal dropout rates between the groups, these results are preliminary and need to be replicated., This work was supported by the L.J. Boethius foundation, Sweden; and ALF funding, Region Örebro County, Sweden.

Background: Research show that internet-based CBT (iCBT) is an effective treatment for depression. However, little is known about how length of treatment text material affect outcomes. Accessibility to treatment would improve if treatment could be presented with less text, especially for patients with ADHD symptoms and lower reading speed.Objective: The aim of this study was to test the hypothesis that a Condensed treatment would be non-inferior to a Full-length treatment. We further hypothesized that a Condensed treatment would be extra helpful for participants with a low reading speed and more ADHD symptoms. Method: A single-blind randomised controlled trial was conducted (N = 267) comparing two versions of guided iCBT for depression; Full-length (60 000 words) and Condensed (30 000 words). Estimated between-group effect sizes and their confidence intervals were compared to a pre-determined non-inferiority margin (Cohen’s d = 0.4). Moderation analyses of reading speed and ADHD symptoms were conducted, as well as comparisons of treatment engagement and knowledge acquisition. Results: The Condensed version of iCBT was non-inferior at endpoint for depressive symptoms, anxiety symptoms, and quality of life compared to the Full-length version. There was a significant interaction effect between reading speed and treatment version. No significant differences between the treatment versions were found on measures of treatment engagement or knowledge acquisition. Conclusion: A condensed version of iCBT for depression can be used with non-inferior results. A condensed treatment might be extra helpful for patients with lower reading speed. Given a high degree of missing data, these results need to be replicated.

Insomnia is a common and chronic disorder, and cognitive behavioral therapy (CBT) is the recommended treatment. Very long-term follow-ups of CBT are very rare, and this study aimed to investigate if improvements were stable one and ten years after CBT for insomnia (CBT-i). Based on a three-armed randomized controlled trial of bibliotherapeutic CBT-i, participants received an insomnia-specific self-help book and were randomized to therapist guidance, no guidance, or a waitlist receiving unguided treatment after a delay. Six weeks of treatment was given to 133 participants diagnosed with insomnia disorder. After one and ten years, participants were assessed with self-reports and interviews. Improvements were statistically significant and well maintained at one- and ten-year follow-ups. Average Insomnia Severity Index score [95%CI] was 18.3 [17.7-18.8] at baseline, 10.1 [9.3-10.9] at post-treatment, 9.2 [8.4-10.0] at one- and 10.7 [9.6-11.8] at ten-year follow-up, and 64% and 66% of participants no longer fulfilled criteria for an insomnia diagnosis at one and ten years, respectively. Positive effects of CBT were still present after ten years. Insomnia severity remained low, and two-thirds of participants no longer fulfilled criteria for an insomnia diagnosis. This extends previous findings of CBT, further confirming it as the treatment of choice for insomnia.

Cognitive behavioural therapy for insomnia is efficacious and recommended for insomnia, but availability is scarce. Cognitive behavioural therapy for insomnia self-help interventions could increase availability, especially if unguided. Optimizing cognitive behavioural therapy for insomnia methods and system user-friendliness, we developed a short, digital, self-help programme-FastAsleep-based on the behavioural components of sleep restriction and stimulus control. This study investigated its feasibility and preliminary effects. Thirty media-recruited participants with moderate to severe insomnia were assessed via telephone before using FastAsleep for 4 weeks, and were interviewed afterwards. Self-ratings with web questionnaires were conducted at screening, pre-, mid- and post-treatment, and at 3-month follow-up. Primary outcomes were feasibility (credibility, adherence, system user-friendliness and adverse effects), and secondary outcomes were changes in symptom severity (insomnia, depression and anxiety). Adherence was generally high, participants' feasibility ratings were favourable, and adverse effects matched previously reported levels for cognitive behavioural therapy for insomnia. Symptoms of insomnia decreased after the treatment period (Hedge's g = 1.79, 95% confidence interval = 1.20-2.39), as did symptoms of depression and anxiety. FastAsleep can be considered feasible and promising for alleviating insomnia symptoms among patients fit for self-care. Future controlled trials are needed to establish the efficacy of FastAsleep and its suitability in a stepped care model.

Importance: Personalized treatment choices would increase the effectiveness of internet-based cognitive behavioral therapy (iCBT) for depression to the extent that patients differ in interventions that better suit them. Objective: To provide personalized estimates of short-term and long-term relative efficacy of guided and unguided iCBT for depression using patient-level information. Data Sources: We searched PubMed, Embase, PsycInfo, and Cochrane Library to identify randomized clinical trials (RCTs) published up to January 1, 2019. Study Selection: Eligible RCTs were those comparing guided or unguided iCBT against each other or against any control intervention in individuals with depression. Available individual patient data (IPD) was collected from all eligible studies. Depression symptom severity was assessed after treatment, 6 months, and 12 months after randomization. Data Extraction and Synthesis: We conducted a systematic review and IPD network meta-analysis and estimated relative treatment effect sizes across different patient characteristics through IPD network meta-regression. Main Outcomes and Measures: Patient Health Questionnaire-9 (PHQ-9) scores. Results: Of 42 eligible RCTs, 39 studies comprising 9751 participants with depression contributed IPD to the IPD network meta-analysis, of which 8107 IPD were synthesized. Overall, both guided and unguided iCBT were associated with more effectiveness as measured by PHQ-9 scores than control treatments over the short term and the long term. Guided iCBT was associated with more effectiveness than unguided iCBT (mean difference [MD] in posttreatment PHQ-9 scores, -0.8; 95% CI, -1.4 to -0.2), but we found no evidence of a difference at 6 or 12 months following randomization. Baseline depression was found to be the most important modifier of the relative association for efficacy of guided vs unguided iCBT. Differences between unguided and guided iCBT in people with baseline symptoms of subthreshold depression (P

Background Treatment involvement, including involvement with written material as well as homework assignments, has previously been associated with better outcomes in cognitive behavioral therapy, but there is a lack of knowledge on which specific aspects of involvement that are the most promising for use as predictors of treatment effects. Methods The objective of this study was to use a battery of weekly self-rated questions regarding different aspects of participant involvement during 8 weeks of either guided internet cognitive behavioral therapy for insomnia (ICBT-i, n = 73), or an active internet-delivered control treatment also including homework (ICBT-ctrl, n = 75), to predict reductions in insomnia severity after treatment. The markers of involvement were single questions on amount of time spent on treatment, amount of text read, amount of subjective knowledge gained and index scores of homework quantity (based on ratings of how many times specific techniques were used) and homework quality (based on ratings of the understanding, used as intended, and helpfulness of each specific technique). Results While none of the markers predicted reductions in insomnia severity for participants in the ICBT-ctrl group, text read, subjective knowledge gain, and homework quality predicted larger reductions in insomnia severity for participants in ICBT-i. Amount of subjective knowledge gained was a particularly useful marker in the ICBT-i group, since weekly ratings from the first half of treatment sufficed to explain a rather large proportion of variance in insomnia severity post treatment (14%). Conclusions The results strengthen subjective knowledge gain as a candidate for use as a predictor of treatment effects in ICBT-i.

The objectives were to investigate the potential for sleep-related behaviours, acceptance and cognitions to predict outcome (insomnia severity) of cognitive behavioural therapy for insomnia (CBT-I). Baseline and outcome data from four randomised controlled trials (n = 276) were used. Predictors were the Dysfunctional Beliefs and Attitudes about Sleep-10 (DBAS-10), Sleep-Related Behaviours Questionnaire (SRBQ), and Sleep Problems Acceptance Questionnaire (SPAQ), and empirically derived factors from a factor analysis combining all items at baseline (n = 835). Baseline values were used to predict post-treatment outcome, and pre-post changes in the predictors were used to predict follow-up outcomes after 3-6 months, 1 year, or 3-10 years, measured both as insomnia severity and as better or worse long-term sleep patterns. A majority (29 of 52) of predictions of insomnia severity were significant, but when controlling for insomnia severity, only two (DBAS-10 at short-term and SRBQ at mid-term follow-up) of the 12 predictions using established scales, and three of the 40 predictions using empirically derived factors, remained significant. The strongest predictor of a long-term, stable sleep pattern was insomnia severity reduction during treatment. Using all available predictors in an overfitted model, 21.2% of short- and 58.9% of long-term outcomes could be predicted. We conclude that although the explored constructs may have important roles in CBT-I, the present study does not support that the DBAS-10, SRBQ, SPAQ, or factors derived from them, would be unique predictors of outcome.

Objective: To develop a very brief scale with selected items from the Insomnia Severity Index (ISI), and to investigate the psychometric properties of the proposed scale in a psychiatric sample. Methods: Patient data from seven Cognitive Behavioral Therapy (CBT) for insomnia trials and from regular care were used in psychometric analyses (N = 280-15 653). The samples included patients screening (N = 6936) or receiving treatment (N = 1725) for insomnia and other psychiatric conditions. Six criteria relating to component structure, sensitivity to change and clinical representativeness were used to select items. Psychometric analyses for the proposed very brief scale were performed. Results: One item representing satisfaction/dissatisfaction with current sleep pattern and one item representing interferences with daily functioning, were selected to create the 2-item ISI version. Correlations with the full scale were high at screening, pre and post, and for change (0.82-0.94). Categorical omega was omega(C) = 0.86. With a cut-off of 6 points, the scale could detect Insomnia Disorder with a sensitivity of 84% and a specificity of 76%, which was close to the full ISI showing 86% and 80% respectively. Conclusions: The systematic psychometric evaluation based on a large sample from different contexts makes the proposed 2-item ISI version (ISI-2) a strong candidate for a very brief scale measuring insomnia, both for detecting cases and for measuring change during CBT with an overall high discriminative validity. ISI-2 is especially useful in clinical settings or population studies where there is a need to measure more than one condition at a time without overburdening patients. (c) 2021 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

Aims To test the efficacy of a therapist-guided high-intensity internet intervention compared with an unguided low-intensity internet intervention among individuals with alcohol use disorder. Design A three-group randomized controlled trial with follow-up assessments post-treatment (12 weeks) and 6 months post-randomization (primary end-point). Settings General population sample in Sweden. Participants A total of 166 on-line self-referred adults (49% males) with a score of 14 (females)/16 (males) or more on the Alcohol Use Disorders Identification Test, a preceding week alcohol consumption of 11 (females)/14 (males) or more standard drinks and an alcohol use disorder according to a diagnostic interview. Interventions and comparators Both the high- (n = 72) and low-intensity internet interventions (n = 71) consisted of modules based on relapse prevention. Controls were on a waiting-list (n = 23), and were only followed until the post-treatment follow-up. Participants were randomized at a 7 : 7 : 2 ratio. Measurements Primary outcome was self-reported alcohol consumption in the preceding week measured as (1) number of standard drinks and (2) number of heavy drinking days at the 6-month follow-up. Findings Alcohol use disorders were largely in the severe category (74.7%), with the majority of participants having had alcohol problems for more than 5 years. Attrition was 13 and 22% at the post-treatment and 6-month follow-up, respectively. At the 6-month follow-up, an intent-to-treat analysis showed no significant differences in alcohol consumption between the high- and low-intensity interventions [standard drinks d = -0.17, 95% confidence interval (CI) = -0.50 to 0.16; heavy drinking days: d = -0.07, 95% CI = -0.40 to 0.26]. Prevalence of negative effects was somewhat low (8-14%) in both intervention groups, as was deterioration (3-5%). Conclusions At 6-month follow-up, there were no significant differences between a therapist-guided high-intensity internet intervention

Telomere attrition is a hallmark of cellular aging and shorter telomeres have been reported in mood and anxiety disorders. Telomere shortening is counteracted by the enzyme telomerase and cellular protection is also provided by the antioxidant enzyme glutathione peroxidase (GPx). Here, telomerase, GPx, and telomeres were investigated in 46 social anxiety disorder (SAD) patients in a within-subject design with repeated measures before and after cognitive behavioral therapy. Treatment outcome was assessed by the Liebowitz Social Anxiety Scale (self-report), administered three times before treatment to control for time and regression artifacts, and posttreatment. Venipunctures were performed twice before treatment, separated by 9 weeks, and once posttreatment. Telomerase activity and telomere length were measured in peripheral blood mononuclear cells and GPx activity in plasma. All patients contributed with complete data. Results showed that social anxiety symptom severity was significantly reduced from pretreatment to posttreatment (Cohen’s d = 1.46). There were no significant alterations in telomeres or cellular protection markers before treatment onset. Telomere length and telomerase activity did not change significantly after treatment, but an increase in telomerase over treatment was associated with reduced social anxiety. Also, lower pretreatment telomerase activity predicted subsequent symptom improvement. GPx activity increased significantly during treatment, and increases were significantly associated with symptom improvement. The relationships between symptom improvement and putative protective enzymes remained significant also after controlling for body mass index, sex, duration of SAD, smoking, concurrent psychotropic medication, and the proportion of lymphocytes to monocytes. Thus, indices of cellular protection may be involved in the therapeutic mechanisms of psychological treatment for anxiety.

The objective of this study was to explore the effects of treatment compliance in a guided individually tailored internet-based treatment (TAIL) in relation to depression and co-morbid symptoms. Compliance with the homework in the different treatment components in TAIL, each aimed at a specific condition, was rated for 207 participants by independent assessors. Six subgroups (n = 34-131) were constructed consisting of participants with co-occurring symptoms of worry, panic, social anxiety, stress, insomnia, or pain. For each group, hierarchical regression was used to investigate whether the total sum of compliance points, Overall Compliance, predicted reductions in depression and in condition-specific symptoms. Also, in each subgroup, it was tested whether working with specific treatment components, Specific Compliance, predicted reduction of the targeted symptoms. Overall Compliance predicted 15% of the reduction in depression symptoms. For participants with worry, panic, social anxiety, stress, or insomnia, Overall Compliance also predicted symptom reductions in that specific condition. Specific Compliance predicted reduction in the targeted symptoms for participants with social anxiety, stress, and insomnia. Specific Compliance with stress and insomnia components also predicted reductions in depression. Our results strengthen the importance of compliance in internet-based treatments. Because compliance with stress and insomnia components was particularly important for broad symptom reductions, these conditions should not be ignored when treating patients with co-morbid symptoms.

Objective: To minimize the burden in detecting and monitoring Panic Disorder and Agoraphobia by developing a very brief scale with selected items from the Panic Disorder Severity Scale-Self Report (PDSS-SR), and to investigate the proposed scale's psychometric properties in a comorbid sample. Methods: A sample of 5103 patients from the Internet Psychiatry Clinic in Sweden, diagnosed and treated with Internet-based cognitive behavioral therapy for panic disorder (n = 1390), social anxiety disorder (n = 1313) or depression (n = 2400), responded to the PDSS-SR. Six criteria related to factor structure, sensitivity to change and clinical representativeness were used to select items. Psychometric analyses for the selected very brief scale were performed. Results: Items 2 (distress during panic attacks) and 4 (agoraphobic avoidance), were selected to create the very brief PDSS-SR version. Correlations with the full scale were high at screening, pre and post, and for change (0.87-0.93). Categorical Omega was omega(c) = 0.74. With a cut-off of 3 points, the scale could detect panic disorder in a psychiatric sample with a sensitivity of 85% and a specificity of 66%. Limitations: Limitations include lack of healthy controls and lack of blinding on secondary outcome measures. Conclusion: The proposed 2-item PDSS-SR version is a good candidate for a very brief panic disorder questionnaire, both for detecting cases and for measuring change. This is especially useful in clinical settings when measuring more than one condition at a time.

Objective: This study aimed to demonstrate proof of concept for an adaptive treatment strategy in Internet-delivered cognitive-behavioral therapy (ICBT), where risk of treatment failure is assessed early in treatment and treatment for at-risk patients is adapted to prevent treatment failure. Methods: A semiautomated algorithm assessed risk of treatment failure early in treatment in 251 patients undergoing ICBT for insomnia with therapist guidance. At-risk patients were randomly assigned to continue standard ICBT or to receive adapted ICBT. The primary outcome was self-rated insomnia symptoms using the Insomnia Severity Index in a linear mixed-effects model. The main secondary outcome was treatment failure (having neither responded nor remitted at the posttreatment assessment). Results: A total of 102 patients were classified as at risk and randomly assigned to receive adapted ICBT (N=51) or standard ICBT (N=51); 149 patients were classified as not at risk. Patients not at risk had significantly greater score reductions on the Insomnia Severity Index than at-risk patients given standard ICBT. Adapted ICBT for at-risk patients was significantly more successful in reducing symptoms compared with standard ICBT, and it decreased the risk of failing treatment (odds ratio= 0.33). At-risk patients receiving adapted ICBT were not more likely to experience treatment failure than those not at risk (odds ratio= 0.51), though they were less likely to experience remission. Adapted treatment required, on average, 14 more minutes of therapist-patient time per remaining week. Conclusions: An adaptive treatment strategy can increase treatment effects for at-risk patients and reduce the number of failed treatments. Future studies should improve accuracy in classification algorithms and identify key factors that boost the effect of adapted treatments.

OBJECTIVES: Depression can negatively impact work capacity, but treatment effects on sick leave and employment are unclear. This study evaluates if internet-based cognitive behavioural therapy (ICBT) or physical exercise (PE), with already reported positive effects on clinical outcome and short-term work ability, has better effects on employment, sick leave and long-term work ability compared with treatment as usual (TAU) for depressed primary care patients (German clinical trials: DRKS00008745). METHODS: After randomisation and exclusion of patients not relevant for work-related analysis, patients were divided into two subgroups: initially unemployed (total n=118) evaluated on employment, and employed (total n=703) evaluated on long-term sick leave. Secondary outcomes were self-rated work ability and average number of sick days per month evaluated for both subgroups. Assessments (self-reports) were made at baseline and follow-up at 3 and 12 months. RESULTS: For the initially unemployed subgroup, 52.6% were employed after 1 year (response rate 82%). Both PE (risk ratio (RR)=0.44; 95% CI 0.23 to 0.87) and ICBT (RR=0.37; 95% CI 0.16 to 0.84) showed lower rates compared with TAU after 3 months, but no difference was found after 1 year (PE: RR=0.97; 95% CI 0.69 to 1.57; ICBT: RR=1.23; 95% CI 0.72 to 2.13). For those with initial employment, long-term sick leave (response rate 75%) decreased from 7.8% to 6.5%, but neither PE (RR=1.4; 95% CI 0.52 to 3.74) nor ICBT (RR=0.99; 95% CI 0.39 to 2.46) decreased more than TAU, although a temporary positive effect for PE was found. All groups increased self-rated work ability with no differences found. CONCLUSIONS: No long-term effects were found for the initially unemployed on employment status or for the initially employed on sick leave. New types of interventions need to be explored., Regassa-studien

Disorder-specific internet-based cognitive-behavioural therapy (ICBT) is effective for depression, panic disorder and social anxiety. In this benchmarking study, a new, individually tailored, ICBT programme (TAIL) showed effects on depression (n = 284, d = 1.33) that were non-inferior to disorder-specific ICBT for depression in routine care (n = 2358, d = 1.35). However, the hypotheses that TAIL for individuals with social anxiety or panic disorder is inferior to disorder-specific ICBT could not be rejected (social anxiety: TAIL d = 0.74 versus disorder-specific d = 0.81; panic: TAIL d = 1.11 versus disorder-specific d = 1.47). Our findings strengthen the empirical base for TAIL as an alternative to disorder-specific ICBT for depression.

Little is known about clinically relevant changes in guided Internet-based interventions for depression. Moreover, methodological and power limitations preclude the identification of patients’ groups that may benefit more from these interventions. This study aimed to investigate response rates, remission rates, and their moderators in randomized controlled trials (RCTs) comparing the effect of guided Internet-based interventions for adult depression to control groups using an individual patient data meta-analysis approach. Literature searches in PubMed, Embase, PsycINFO and Cochrane Library resulted in 13,384 abstracts from database inception to January 1, 2016. Twenty-four RCTs (4889 participants) comparing a guided Internet-based intervention with a control group contributed data to the analysis. Missing data were multiply imputed. To examine treatment outcome on response and remission, mixed-effects models with participants nested within studies were used. Response and remission rates were calculated using the Reliable Change Index. The intervention group obtained significantly higher response rates (OR = 2.49, 95% CI 2.17–2.85) and remission rates compared to controls (OR = 2.41, 95% CI 2.07–2.79). The moderator analysis indicated that older participants (OR = 1.01) and native-born participants (1.66) were more likely to respond to treatment compared to younger participants and ethnic minorities respectively. Age (OR = 1.01) and ethnicity (1.73) also moderated the effects of treatment on remission.Moreover, adults with more severe depressive symptoms at baseline were more likely to remit after receiving internet-based treatment (OR = 1.19). Guided Internet-based interventions lead to substantial positive treatment effects on treatment response and remission at post-treatment. Thus, such interventions may complement existing services for depression and potentially reduce the gap between the need and provision of evidence-based treatments.

Background Both internet-based cognitive-behavioural therapy (ICBT) and physical exercise are alternatives to treatment as usual (TAU) in managing mild to moderate depression in primary care. Aims To determine the cost-effectiveness of ICBT and physical exercise compared with TAU in primary care. Method Economic evaluation of a randomised controlled trial (N=945) in Sweden. Costs were estimated by a service use questionnaire and used together with the effects on quality-adjusted life-years (QALYs). The primary 3-month healthcare provider perspective in primary care was complemented by a 1-year societal perspective. Results The primary analysis showed that incremental cost per QALY gain was (sic)8817 for ICBT and (sic)14 571 for physical exercise compared with TAU. At the established willingness-to-pay threshold of (sic) 21 536 ( pound 20 000) per QALY, the probability of ICBT being cost-effective is 90%, and for physical exercise is 76%, compared with TAU. Conclusions From a primary care perspective, both ICBT and physical exercise for depression are likely to be cost-effective compared with TAU. (c) The Royal College of Psychiatrists 2018.

Background: Depression is a large societal problem. People suffering from depression are heterogeneous and have a high degree of comorbid conditions. Pharmacological treatment is widespread, but not effective for all sufferers, and patients often have a preference for psychological treatment. There are effective psychological treatment alternatives, but access to treatment is low. Individually tailored internet-based treatment has the ability to target several conditions within the same treatment. It has shown promising effects on depression and anxiety but needs to be further evaluated against other interventions. The effects of specific treatment components also need to be explored. Aims: The aims of this thesis were to evaluate the effects and cost-effectiveness of individually tailored internet-based treatment compared to other treatment alternatives, to compare its effects to disorder-specific benchmark treatments, and to explore if compliance to treatment components for specific conditions predict reductions in the targeted symptoms. Methods: Study I-IV were based on the randomized trial REGASSA (n = 946) where an individually tailored internet-based treatment (TAIL) were compared to structured physical exercise (PE) and to treatment as usual in primary care (TAU). In Study I, the effects of TAIL and PE on depression symptoms were evaluated against TAU. Study II evaluated the cost-effectiveness of TAIL and PE against TAU. In Study III, TAIL was compared to similar, but disorder-specific, benchmark treatments for depression (n = 2358), panic disorder (n = 1176) and social anxiety disorder (n = 1335). In Study IV, the participants’ compliance to the different specific components in the TAIL-intervention were rated, and related to symptom reductions. Results: The effects of TAIL on depression symptoms were large (g = 1.47, 95% CI 1.29-1.66), and there were significantly larger reductions in depression symptoms than in the TAU-group. There were no significant diff