Guided and unguided internet-delivered psychodynamic therapy for social anxiety disorder: A randomized controlled trial.

Social Anxiety Disorder (SAD) is highly prevalent and debilitating disorder. Treatments exist but are not accessible and/or helpful for all patients, indicating a need for accessible treatment alternatives. The aim of the present trial was to evaluate internet-delivered psychodynamic therapy (IPDT) with and without therapist guidance, compared to a waitlist control condition, in the treatment of adults with SAD. In this randomized, clinical trial, we tested whether IPDT was superior to a waitlist control, and whether IPDT with therapeutic guidance was superior to unguided IPDT. Participants were recruited nationwide in Sweden. Eligible participants were ≥ 18 years old and scoring ≥ 60 on the Liebowitz Social Anxiety Scale self-report (LSAS-SR) whilst not fulfilling any of the exclusion criteria. Included participants were randomly assigned to IPDT with guidance (n = 60), IPDT without guidance (n = 61), or waitlist (n = 60). The IPDT intervention comprised eight self-help modules based on affect-focused dynamic therapy, delivered over 8 weeks on a secure online platform. The primary outcome was SAD symptoms severity measured weekly by the LSAS-SR. Primary analyses were calculated on an intention-to-treat sample including all participants randomly assigned. Secondary outcomes were depressive symptoms, generalized anxiety, quality of life, emotion regulation and defensive functioning. At post-treatment, both active treatments were superior to the waitlist condition with guided treatment exhibiting larger between group effects than unguided treatment (d = 1.07 95% CI [0.72, 1.43], p < .001 and d = 0.61, 95% CI [0.25, 0.98], p = .0018) on the LSAS-SR respectively. Guided IPDT lead to larger improvements than unguided IPDT (d = 0.46, 95% CI [0.11, 0.80], p < .01). At post-treatment, guided IPDT was superior to waitlist on all secondary outcome measures. Unguided IPDT was superior to waitlist on depressive symptoms and general anxiety, but not on emotion regulation, self-compassion or quality of life. Guided IPDT was superior to unguided PDT on depressive symptoms, with a trend towards superiority on a measure of generalized anxiety. At six and twelve month follow-up there were no significant differences between guided and unguided IPDT. In conclusion, IPDT shows promising effects in the treatment of SAD, with larger benefits from guided IPDT compared to non-guided, at least at post-treatment. This finding increases the range of accessible and effective treatment alternatives for adults suffering from SAD. The study was prospectively registered at ClinicalTrials (NCT05015166).

Revealing the source: How awareness alters perceptions of AI and human-generated mental health responses.

In mental health care, the integration of artificial intelligence (AI) into internet interventions could significantly improve scalability and accessibility, provided that AI is perceived as being as effective as human professionals. This longitudinal study investigates the comparative perceptions of ChatGPT and human mental health support professionals across three dimensions: authenticity, professionalism, and practicality. Initially, 140 participants evaluated responses from both sources without knowing their origin, revealing that AI-generated responses were rated significantly higher across all dimensions. Six months later, the same cohort (n = 111) reassessed these messages with the source of each response disclosed, aiming to understand the impact of source transparency on perceptions and trust towards AI. The results indicate a shift in perception towards human responses, only in terms of authenticity (Cohen's d = 0.45) and reveal a significant correlation between trust in AI and its practicality rating (r = 0.25), but not with authenticity or professionalism. A comparative analysis between blind and informed evaluations revealed a significant shift in favour of human response ratings (Cohen's d = 0.42-0.57), while AI response ratings experienced minimal variation. These findings highlight the nuanced acceptance and role of AI in mental health support, emphasizing that the disclosure of the response source significantly shapes perceptions and trust in AI-generated assistance.

From alcohol detoxification to treatment: A qualitative interview study on perceived barriers and assessed potential of mHealth among individuals postdetoxification.

OBJECTIVE: Most individuals attending detoxification clinics do not pursue subsequent treatment. Earlier research has suggested that emerging technologies like mHealth interventions could address the postdetoxification treatment gap, yet it remains unclear whether patients themselves endorse such approaches. Our study aimed to qualitatively explore perceived treatment barriers and assessed potential of mHealth among individuals who have undergone alcohol detoxification. METHOD: We conducted a single-interview-per-participant qualitative study, sampling participants (n = 23) that had visited the Stockholm substance use disorder emergency department for alcohol-related reasons, of whom n = 8 were purposively included due to having missed their scheduled follow-up outpatient appointment. Semistructured telephone interviews were conducted (2021-2022) and then systematically analyzed using reflexive thematic analysis. RESULTS: Across both areas of analysis, we identified six themes in total. We clustered barriers to postdetoxification treatment into three themes (10 subthemes) that may offer a nuancing perspective on previous research: "Misalignment between the treatment system and the individual," "Practical hurdles" and "Between reaching out and retreating." We identified three themes in participants' perspectives on mHealth as aftercare support, revealing expectations that such an approach may promote "self-awareness on own terms," assist in "navigating from solitary substance use struggles to supportive connections," and "offer a lifeline when needed most," thereby potentially resolving several barriers to treatment. CONCLUSIONS: This first qualitative study on barriers to alcohol treatment and mHealth potential postdetoxification offered various insights that may be translated into effective, real-world solutions to bridge the postdetoxification treatment gap. A natural next step for future research is to evaluate the impact of mHealth postdetoxification. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Treating perfectionism via the Internet: a randomized controlled trial comparing cognitive behavior therapy to unified protocol.

Perfectionism can be problematic when your self-worth is dependent on achievements and leads to inflexible standards, cognitive biases, and rigid behaviors. Cognitive behavior therapy for perfectionism is shown to be effective, including for targeting psychiatric symptoms and when delivered via the Internet (iCBT-P). However, few studies have compared it to an active comparator. The current study randomly assigned 138 participants seeking help for perfectionism to iCBT-P or Internet-based Unified Protocol (iUP). Both treatments provided guidance on demand from a therapist and were eight weeks in duration. The results indicated large within-group effects of Cohen's d 2.03 (iCBT) and 2.51 (iUP) on the Clinical Perfectionism Questionnaire at post-treatment, and maintained effects at 6- and 12-month follow-up, but no between-group difference (ß = 0.02, SE = 1.04, p = .98). Secondary outcomes of depression, anxiety, quality of life, self-compassion, procrastination, and stress ranged from small to large, with no differences between the conditions. Both treatments were deemed credible, relevant, of high quality, and well-adhered by the participants. Further research needs to be conducted, but the findings could indicate a lack of specificity, perhaps suggesting there is no need to differentiate between different treatments that are transdiagnostic in nature.

Offering an auto-play feature likely increases total gambling activity at online slot-machines: preliminary evidence from an interrupted time series experiment at a real-life online casino.

Auto-play is a ubiquitous feature in online casino gambling and virtual slot machines especially, allowing gamblers to initiate spin sequences of pre-set length and value. While theoretical accounts diverge on the hypothesized causal effect on gambling behavior of using the auto-play feature, observational findings show that this feature is used to a higher degree by problem and/or high-intensity gamblers, suggesting that banning this feature may constitute a global responsible gambling measure. Direct, experimental research on causal effects of offering auto-play at online casinos is however lacking. Here, we report the findings of an interrupted time series experiment, conducted at a real-life online casino in Sweden, in which the auto-play feature was made available during a pre-set duration on 40 online slot machines, with 40 matched slots serving as control. Aggregated time series on daily betted amount, spins and net losses were analyzed using a structural Bayesian framework that compared observed developments during the peri-intervention period to modeled counterfactual estimates. Results suggest that offering an auto-play feature on online casinos likely increases total gambling activity in terms of betted amount (approx.+ 7-9%) and (perhaps) number of spins (approx. +3%) but has no effect on net losses. Limitations of studying auto-play effects on a population-level, as well as the complexities of banning this feature within a complex ecosystem of non-perfect channelization to licensed providers, are discussed, including suggestions for future research.

Guided Online Mindfulness-Based Intervention for Community Residents with Emotional Distress during the COVID-19 Pandemic.

This study aimed to assess the efficacy of a guided online mindfulness-based intervention (iMBI) for community residents experiencing emotional distress during the COVID-19 pandemic in Hong Kong. In a randomized controlled trial, 64 participants were recruited from collaborating community-based mental health service units in Hong Kong and assigned to either the treatment (n = 32) or control (n = 32) groups. The treatment group received a guided iMBI consisting of 16 online modules, weekly telephone counseling, and two half-day online workshops on mindfulness practice. In contrast, the waitlist control group did not receive any intervention during the initial stage. Using a 2 (two groups) × time (pre versus post) repeated measures linear mixed model and one-way analysis of variance, authors demonstrated that the treatment group experienced a significantly larger reduction in anxiety and depressive symptoms with a large effect size compared with the control group. Additionally, the treatment group showed a significantly greater improvement in mindfulness with a moderate effect size. The findings support the effectiveness of guided iMBI for community residents experiencing emotional distress during the COVID-19 pandemic in Hong Kong.

A pilot study of the perceptions and acceptability of guidance using artificial intelligence in internet cognitive behaviour therapy for perfectionism in young people.

Perfectionism is a transdiagnostic process associated with a range of psychological disorders. Cognitive Behaviour Therapy for Perfectionism (CBT-P) has been demonstrated as efficacious across guided and unguided internet delivered interventions in reducing perfectionism and psychopathology. The aim of this pilot study was to understand perceptions and acceptability of an artificial intelligence supplemented CBT-P intervention (AI-CBT-P) in young people with lived experience of anxiety and depression (n = 8; age range 19-29 years, M = 24 years, SD = 3.77; 50 % female, 38 % male, 12 % non-binary). Young people reported that they were frequent users of artificial intelligence for study, work and general information, were positive about the intervention and using artificial intelligence for guidance in a self-help intervention, but also noted several concerns. Young people perceived numerous benefits to AI-CBT-P, including ease of access, low cost, lack of stigma and benefits for individuals with social anxiety. Overall, young people appear to be interested in, and have a positive view of, AI-CBT-P. Further research is now required to examine the feasibility and acceptability of the intervention.

Bridging the adherence gap in internet interventions: A randomized controlled trial study protocol investigating context-specific self-efficacy.

Low adherence in self-guided internet interventions is linked to poorer outcomes. Although some predictors of adherence have been identified, few are modifiable for widespread application. One personal variable with the potential to increase adherence in internet interventions is context-specific self-efficacy. This protocol outlines a randomized controlled trial design, divided into two phases. In Phase 1 (students, N = 216), participants will complete a self-efficacy-enhancing exercise, which will be compared to a waitlist control group to test its effectiveness in increasing internet intervention adherence self-efficacy. Phase 2 will be the main two-arm trial, where all participants (medical students, N = 952) will undergo an internet intervention called Med-Stress Student. In the experimental group, the program will be preceded by the self-efficacy-enhancing exercise developed in Phase 1. We anticipate that participants in the experimental group will show higher adherence (primary outcome) to the intervention and greater improvement in intervention outcomes (secondary outcomes i.e., lower stress and higher work engagement) at posttest, as well as at six-month and one-year follow-ups. If effective, enhancing context-specific self-efficacy could be recommended before any internet intervention as a relatively simple way to boost participants' adherence.

Learning how to recover from stress: Results from an internet-based randomized controlled pilot trial.

•One of the first trials examining the efficacy of a brief preventive recovery training program in a sample of distressed employees.•Preliminary results suggest that employees across a wide range of professions could learn to recover, reduce stress, and improve quality-of-life.•This type of accessible and brief recovery intervention might shape the future of workplace stress prevention, however, more research is needed.

A Pilot Randomized Controlled Trial Among People Recovering from Mental Illness: A Tailored Mindfulness-Based Intervention versus Relaxation Training.

BACKGROUND: This study assessed the potential effectiveness, acceptability and feasibility of a tailored mindfulness-based intervention (MBI, REMIND 2.0) for personal recovery among people with mental illness during the COVID-19 pandemic. METHODS: In this pilot mixed methods randomized controlled trial, participants were assigned to either the MBI (n = 14) or the relaxation training (RT) (n = 14). Quantitative measures were used to assess primary outcomes, including personal recovery, mindfulness, self-compassion, resilience, and secondary outcomes, including depression, stress, anxiety, positive and negative moods, quality of life and general health at baseline (T0), post-intervention (T1) and one-month follow-up (T2). Quantitative interviews were conducted to explore the experiences and perceptions toward the MBI. RESULTS: Results indicated significant group and time interactions for all outcomes except anxiety and stress. MBI participants showed significant improvements in all outcomes at T1, which were maintained at T2, except for positive mood. RT participants showed a significant decline in resilience but significant improvements in all secondary outcomes at T1, but all outcomes significantly declined at T2, except for anxiety and stress. MBI participants were receptive toward the programme in all aspects of personal recovery. CONCLUSIONS: The tailored MBI is a potentially effective, feasible and acceptable approach to facilitate personal recovery among people with mental illness. Differences between MBI and RT are discussed.

Low-intensity online mindfulness-based intervention for university students with anxiety during the COVID-19 pandemic-A randomized controlled trial with 3-month follow-up.

Objective: This study investigated the effectiveness of a low-intensity online mindfulness-based Intervention (iMBI) for alleviating anxiety in university students during the COVID-19 pandemic. Methods: In a randomized controlled trial involving 134 participants from a local university in Hong Kong, subjects were randomly assigned to either the intervention group (n = 67) or the inactive control group (n = 67). The intervention group participated in a low-intensity iMBI comprising 16 online modules and two half-day online mindfulness workshops over an eight-week period. Outcomes were measured via an online platform using standardized assessment scales, including the Beck Anxiety Inventory and the Chinese Five Facets Mindfulness Questionnaire, at three different time points: pre-intervention, post-intervention and at a three-month follow-up. Results: Intent-to-treat analysis using 2 (group) × 3 (time) repeated measures of covariance (ANCOVA) showed that the intervention group, compared to the control group, showed a significant reduction in anxiety symptoms with a medium effect size (Cohen's d = 0.5) and a significant improvement in mindfulness skills with a medium effect size (Cohen's d = 0.5) at post-intervention. The effects of the intervention in reducing anxiety and improving mindfulness persisted at the three-month follow-up. Conclusion: The results of this study demonstrate the effectiveness of the low-intensity iMBI in alleviating anxiety among university students.

Selecting and describing control conditions in mobile health randomized controlled trials: a proposed typology.

Hundreds of randomized controlled trials (RCTs) have tested the efficacy of mobile health (mHealth) tools for a wide range of mental and behavioral health outcomes. These RCTs have used a variety of control condition types which dramatically influence the scientific inferences that can be drawn from a given study. Unfortunately, nomenclature across mHealth RCTs is inconsistent and meta-analyses commonly combine control conditions that differ in potentially important ways. We propose a typology of control condition types in mHealth RCTs. We define 11 control condition types, discuss key dimensions on which they differ, provide a decision tree for selecting and identifying types, and describe the scientific inferences each comparison allows. We propose a five-tier comparison strength gradation along with four simplified categorization schemes. Lastly, we discuss unresolved definitional, ethical, and meta-analytic issues related to the categorization of control conditions in mHealth RCTs.

Assessing the risk of symptom worsening in psilocybin-assisted therapy for depression: A systematic review and individual participant data meta-analysis.

We conducted a meta-analysis using individual participant data from three, two-dose psilocybin trials for depression (N = 102) with the aim of assessing the risk of symptom worsening. Clinically significant symptom worsening occurred for a minority of participants in the psilocybin and escitalopram conditions (∼10%) and for a majority of participants in the waitlist condition (63.6%). Using data from the two trials with control arms, the psilocybin arm showed a lower likelihood of symptom worsening versus waitlist, and no difference in the likelihood of symptom worsening versus escitalopram. The limitation of a relatively small sample size should be addressed in future studies.

Efficacy of transdiagnostic cognitive-behavioral therapy for assertiveness: A randomized controlled trial.

Assertiveness training has been an essential component in cognitive-behavioral therapy (CBT), for example, in the treatment of social anxiety and in dialectical behavioral therapy. However, the assertiveness construct has garnered little attention in recent clinical research. The objective of this study was to investigate the efficacy of an eight-week transdiagnostic stand-alone internet-based CBT intervention specifically aimed at increasing levels of assertive behavior. Following inclusion, we randomized N = 210 participants into three groups: therapist-guided self-help, unguided self-help, and a wait-list control condition. After a one-year follow-up, we employed a linear mixed model to estimate the effects at both post-test and follow-up for the primary outcome measures of assertiveness, Adaptive and Aggressive Assertiveness Scales, the Rathus Assertiveness Schedule, and secondary outcome measures of anxiety, depression, and general well-being. We also assessed reliable clinical change. Compared to the wait list at the post-treatment, estimated between-group effect sizes on self-rated adaptive assertiveness were statistically equivalent for the two treatment groups both at the post and at the one-year follow-up time points, ranging from ES = 0.95 to 1.73, with reliable clinical recovery proportions from 19 % to 36 %. The increase in aggressive assertiveness ranged from ES = 0.62 to 0.90 compared to the wait-list condition at post. For social anxiety symptoms, the effects compared to the wait list at post-treatment ranged from ES = 0.67 to 0.93, with a reliable clinical recovery rate from 16 % to 26 %. For self-assessed well-being, the effects compared to the wait list at post ranged from ES = 0.70 to 1.05. No effects were observed for generalized anxiety, although within-group evidence was found for a medium effect on depression one year after treatment. Overall, the two treatment conditions produced similar effects. In general, participation increased healthy assertive expressions regardless of treatment condition, all the while reducing self-assessed social anxiety and, over time, possibly also depression. Participation also improved general well-being. The findings demonstrate that the assertiveness construct can be a suitable target for intervention, with reductions of both psychiatric symptoms and non-syndromal problems in daily life. The study was preregistered at ClinicalTrials.gov (NCT04240249).

Therapist-supported Internet-based cognitive behaviour therapy yields similar effects as face-to-face therapy for psychiatric and somatic disorders: an updated systematic review and meta-analysis.

Providing therapist-guided cognitive behaviour therapy via the Internet (ICBT) has advantages, but a central research question is to what extent similar clinical effects can be obtained as with gold-standard face-to-face cognitive behaviour therapy (CBT). In a previous meta-analysis published in this journal, which was updated in 2018, we found evidence that the pooled effects for the two formats were equivalent in the treatment of psychiatric and somatic disorders, but the number of published randomized trials was relatively low (n=20). As this is a field that moves rapidly, the aim of the current study was to conduct an update of our systematic review and meta-analysis of the clinical effects of ICBT vs. face-to-face CBT for psychiatric and somatic disorders in adults. We searched the PubMed database for relevant studies published from 2016 to 2022. The main inclusion criteria were that studies had to compare ICBT to face-to-face CBT using a randomized controlled design and targeting adult populations. Quality assessment was made using the Cochrane risk of bias criteria (Version 1), and the main outcome estimate was the pooled standardized effect size (Hedges' g) using a random effects model. We screened 5,601 records and included 11 new randomized trials, adding them to the 20 previously identified ones (total n=31). Sixteen different clinical conditions were targeted in the included studies. Half of the trials were in the fields of depression/depressive symptoms or some form of anxiety disorder. The pooled effect size across all disorders was g=0.02 (95% CI: -0.09 to 0.14) and the quality of the included studies was acceptable. This meta-analysis further supports the notion that therapist-supported ICBT yields similar effects as face-to-face CBT.

Therapeutic alliance is calming and curing-The interplay between alliance and emotion regulation as predictors of outcome in Internet-based treatments for adolescent depression.

OBJECTIVE: Therapeutic alliance is one of the most stable predictors of outcome in psychotherapy, regardless of theoretical orientation. The alliance-outcome relationship in internet-based treatments has been investigated with mixed results. There is preliminary evidence that emotion regulation can work as a mediator for the alliance-outcome relationship. The present study aimed to investigate whether alliance predicted outcome session by session in two internet-based treatments for adolescent depression, and whether this relationship was mediated by emotion regulation. METHOD: Two hundred and seventy-two participants aged 15-19 years and diagnosed with depression were randomized to 10 weeks of internet-based psychodynamic or cognitive behavioral treatment. Both therapists and patients rated the alliance weekly. Patients also rated depressive symptoms and emotion regulation weekly. Analyses were made using cross-lagged panel modeling. RESULTS: Alliance, as rated by both therapist and patient, predicted depression scores the following week. Emotion regulation rated by the patient also predicted depression scores the following week. Furthermore, alliance scores predicted emotion regulation scores the following week, which in turn predicted depression scores the week after, supporting the hypothesis that alliance influences outcome partly through emotion regulation. There were no group differences in any of these relationships. CONCLUSION: Alliance seems to play an important role in internet-based treatments, partly through emotion regulation. Clinicians working with text-based treatments should pay attention to the working alliance. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Baseline Severity as a Moderator of the Waiting List-Controlled Association of Cognitive Behavioral Therapy With Symptom Change in Social Anxiety Disorder: A Systematic Review and Individual Patient Data Meta-analysis.

Importance: Social anxiety disorder (SAD) can be adequately treated with cognitive behavioral therapy (CBT). However, there is a large gap in knowledge on factors associated with prognosis, and it is unclear whether symptom severity predicts response to CBT for SAD. Objective: To examine baseline SAD symptom severity as a moderator of the association between CBT and symptom change in patients with SAD. Data Sources: For this systematic review and individual patient data meta-analysis (IPDMA), PubMed, PsycInfo, Embase, and the Cochrane Library were searched from January 1, 1990, to January 13, 2023. Primary search topics were social anxiety disorder, cognitive behavior therapy, and randomized controlled trial. Study Selection: Inclusion criteria were randomized clinical trials comparing CBT with being on a waiting list and using the Liebowitz Social Anxiety Scale (LSAS) in adults with a primary clinical diagnosis of SAD. Data Extraction and Synthesis: Authors of included studies were approached to provide individual-level data. Data were extracted by pairs of authors following the Preferred Reporting Items for Systematic Reviews and Meta-analyses reporting guideline, and risk of bias was assessed using the Cochrane tool. An IPDMA was conducted using a 2-stage approach for the association of CBT with change in LSAS scores from baseline to posttreatment and for the interaction effect of baseline LSAS score by condition using random-effects models. Main Outcomes and Measures: The main outcome was the baseline to posttreatment change in symptom severity measured by the LSAS. Results: A total of 12 studies including 1246 patients with SAD (mean [SD] age, 35.3 [10.9] years; 738 [59.2%] female) were included in the meta-analysis. A waiting list-controlled association between CBT and pretreatment to posttreatment LSAS change was found (b = -20.3; 95% CI, -24.9 to -15.6; P < .001; Cohen d = -0.95; 95% CI, -1.16 to -0.73). Baseline LSAS scores moderated the differences between CBT and waiting list with respect to pretreatment to posttreatment symptom reductions (b = -0.22; 95% CI, -0.39 to -0.06; P = .009), indicating that individuals with severe symptoms had larger waiting list-controlled symptom reductions after CBT (Cohen d = -1.13 [95% CI, -1.39 to -0.88] for patients with very severe SAD; Cohen d = -0.54 [95% CI, -0.80 to -0.29] for patients with mild SAD). Conclusions and Relevance: In this systematic review and IPDMA, higher baseline SAD symptom severity was associated with greater (absolute but not relative) symptom reductions after CBT in patients with SAD. The findings contribute to personalized care by suggesting that clinicians can confidently offer CBT to individuals with severe SAD symptoms.