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INTRODUCTION: Meta-analytical evidence confirms a range of interventions, including mindfulness, physical activity and sleep hygiene, can reduce psychological distress in university students. However, it is unclear which intervention is most effective. Artificial intelligence (AI)-driven adaptive trials may be an efficient method to determine what works best and for whom. The primary purpose of the study is to rank the effectiveness of mindfulness, physical activity, sleep hygiene and an active control on reducing distress, using a multiarm contextual bandit-based AI-adaptive trial method. Furthermore, the study will explore which interventions have the largest effect for students with different levels of baseline distress severity. METHODS AND ANALYSIS: The Vibe Up study is a pragmatically oriented, decentralised AI-adaptive group sequential randomised controlled trial comparing the effectiveness of one of three brief, 2-week digital self-guided interventions (mindfulness, physical activity or sleep hygiene) or active control (ecological momentary assessment) in reducing self-reported psychological distress in Australian university students. The adaptive trial methodology involves up to 12 sequential mini-trials that allow for the optimisation of allocation ratios. The primary outcome is change in psychological distress (Depression, Anxiety and Stress Scale, 21-item version, DASS-21 total score) from preintervention to postintervention. Secondary outcomes include change in physical activity, sleep quality and mindfulness from preintervention to postintervention. Planned contrasts will compare the four groups (ie, the three intervention and control) using self-reported psychological distress at prespecified time points for interim analyses. The study aims to determine the best performing intervention, as well as ranking of other interventions. ETHICS AND DISSEMINATION: Ethical approval was sought and obtained from the UNSW Sydney Human Research Ethics Committee (HRE

OBJECTIVE: To examine and describe telehealth use and attitudes among mental health professionals in Australia and New Zealand during the initial stages of the COVID-19 pandemic. METHODS: Participants completed a brief online survey between May and July 2020. Participants were recruited via peak and professional organisations and through psychology-focused social media groups and networks. The survey examined frequency of telehealth use, reasons for non-use, telehealth modalities, prior use, attitudes towards use, plans for future use, and training, information or resource needs. RESULTS: A total of 528 professionals (85.2% female) participated in the survey, of which 98.9% reported using telehealth and 32.2% reported using telehealth exclusively. Respondents were less likely to use telehealth if they worked with clients experiencing complex issues (e.g. trauma), had more hours of weekly client contact, had a choice about whether to use telehealth or felt less positive about using technology. Respondents were more likely to hold positive views towards telehealth if they were female, had used online programmes with clients previously, were frequent telehealth users and were comfortable using technology. Participants expressed mixed views on client safety and the impact of telehealth on therapeutic process and effectiveness. CONCLUSION: Telehealth has a clear and ongoing role within mental healthcare and there is a need for strong guidance for professionals on how to manage client risk, privacy, security and adapt therapy for delivery via telehealth. In particular, there is a need for individual-, organisational-, professional- and policy-level responses to ensure that telehealth remains a viable and effective healthcare medium into the future.

Purpose: Evaluate the feasibility, acceptability and potential efficacy of a form of online therapy for clinical depression and/or anxiety in people living with advanced cancer. Methods: A single-arm open trial of a six-lesson clinician-supervised, internet-delivered cognitive behavioural therapy (iCBT) transdiagnostic intervention (iCanADAPT Advanced) was undertaken. Qualitative (semi-structured telephone interview conducted at 3-months) and quantitative data (questionnaires collected at pre-, post-, and 3-month follow-up) were analysed. Results: 27 participants partook (26 women, 56% breast cancer, mean age 56yo; average number of mental health diagnoses 1.8, with majority (81%) meeting criteria for generalised anxiety disorder). Feasibility - Unanticipated numbers (48%) of participants had physical health deterioration (cancer progression or death). iCBT had high adherence overall (completion rates: 37% did 6 lessons; 70% did 4 lessons) but adherence was higher for those whose cancer remained stable (completion rates: 43% did 6 lessons; 85% did 4 lessons). Acceptability - the intervention was acceptable to the majority of participants, with high treatment satisfaction. Advisory data was achieved regarding future versions. Potential efficacy - regardless of physical health status, participants who completed the iCBT showed a significant decrease over time in anxiety and depression symptoms. Conclusions: Online therapies may be useful in assisting those living with advanced cancer dealing with clinical depression and anxiety disorders. The specific modality of clinician supervised iCBT has significant potential to be a suitable modality of online therapy.

BACKGROUND: Internet cognitive behavioural therapy (iCBT) is a viable delivery format of CBT for depression. However, iCBT programmes include training in a wide array of cognitive and behavioural skills via different delivery methods, and it remains unclear which of these components are more efficacious and for whom. METHODS: We did a systematic review and individual participant data component network meta-analysis (cNMA) of iCBT trials for depression. We searched PubMed, PsycINFO, Embase, and the Cochrane Library for randomised controlled trials (RCTs) published from database inception to Jan 1, 2019, that compared any form of iCBT against another or a control condition in the acute treatment of adults (aged ≥18 years) with depression. Studies with inpatients or patients with bipolar depression were excluded. We sought individual participant data from the original authors. When these data were unavailable, we used aggregate data. Two independent researchers identified the included components. The primary outcome was depression severity, expressed as incremental mean difference (iMD) in the Patient Health Questionnaire-9 (PHQ-9) scores when a component is added to a treatment. We developed a web app that estimates relative efficacies between any two combinations of components, given baseline patient characteristics. This study is registered in PROSPERO, CRD42018104683. FINDINGS: We identified 76 RCTs, including 48 trials contributing individual participant data (11 704 participants) and 28 trials with aggregate data (6474 participants). The participants' weighted mean age was 42·0 years and 12 406 (71%) of 17 521 reported were women. There was suggestive evidence that behavioural activation might be beneficial (iMD -1·83 [95% credible interval (CrI) -2·90 to -0·80]) and that relaxation might be harmful (1·20 [95% CrI 0·17 to 2·27]). Baseline severity emerged as the strongest prognostic factor for endpoint depression. Combining human and automated encouragement reduc

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 (PHQ

Purpose: To evaluate internet-delivered cognitive behavioural therapy (iCBT) on clinical depression and/or anxiety, distress, fear of cancer recurrence, and quality of life in cancer survivors. Methods: Random assignation of 114 participants to iCBT or treatment-as-usual (TAU). The clinician-supervised iCBT program (iCanADAPT Early) consisted of eight lessons over 16 weeks. Self-report questionnaires occurred at baseline, midpoint, and posttreatment for both groups with 3-month follow-up for iCBT participants. A mixed modelling approach to compare groups occurred. Results: iCBT was superior to TAU on all outcome measures at posttreatment. Compared with TAU, the iCBT group showed a significant decrease over time in anxiety and depression symptoms (primary outcome, Hospital Anxiety and Depression Scale, Hedges g = 1.51). Additionally the iCBT group had significantly lower general distress (Kessler-10, g = 1.56), fear of cancer recurrence (Fear of Cancer Recurrence Inventory, g = 0.39), and significantly higher quality of life (Functional Assessment of Cancer Therapy—General, g = 0.74) at posttreatment compared with the TAU group. High adherence and satisfaction were found for iCBT with low clinician time. Conclusion: Clinician-supervised iCBT has significant benefits for cancer survivors with clinical depression and anxiety disorders.

Background and objectives: Health anxiety is characterised by a tendency to interpret benign bodily sensations as a sign of serious illness. This study aimed to examine whether computerised cognitive bias modification (CBM-I) training to facilitate benign interpretations of bodily symptoms could reduce these negative interpretations of bodily symptoms, health anxiety and comorbid symptoms. Methods: Participants (N = 89) with clinical levels of health anxiety (Short Health Anxiety Inventory [SHAI] scores ≥20) were randomised to receive two internet-delivered 30-min sessions of either CBM-I interpretation training (Intervention) or control CBM-I training over 1-week. Participants were assessed at pre-treatment, post-treatment and 2-weeks follow-up on self-reported health anxiety, cognitions and attributions of bodily symptoms, and comorbid symptoms (e.g., depression). Results: Results showed significantly reduced catastrophic attributions, health anxiety and related symptoms at post-treatment in both groups, which were maintained at 2-week follow-up. Although there were no significant group differences at post-treatment or follow-up, we found small non-significant effect sizes in favour of the CBM-I Intervention group on health anxiety and cognitions (Cohen's d's between-group effect sizes of 0.28 at post-treatment and d = 0.35 at follow-up on the 18-item Short Health Anxiety Inventory). Limitations: The study was conducted online, limiting control over the setting in which participants completed training. Additionally, training was not tailored to the specific symptoms or diseases that participants feared. Conclusions: This study is the first to evaluate the effect of internet-delivered CBM-I training targeting benign interpretations of bodily symptoms on health anxiety. Further research is needed before this intervention is disseminated.

This is the first pilot study to explore the feasibility, acceptability and preliminary efficacy of intensive cognitive behavioral therapy (CBT) for panic disorder and/or agoraphobia delivered via the internet. Ten participants who met DSM-5 criteria for panic disorder and/or agoraphobia (6 males; mean age = 43.40, SD = 15.25) completed The Intensive Panic Program: a six-lesson exposure-based CBT program, delivered online over seven days. Clinician support was provided via phone and email. All 10 participants completed the program (100% adherence) and high levels of satisfaction were reported. We found large and significant reductions in panic symptom severity at post-treatment (d = 1.40), which were maintained at two-month follow-up. We also found large reductions in agoraphobic avoidance (d = 0.92) and functional impairment (d = 1.04) at follow-up, and days out of role were halved. On average, 132 min (SD = 42, range: 47–183) of clinician time was spent per participant during the treatment week. The results provide promising preliminary evidence for the feasibility and acceptability of internet-delivered intensive CBT for panic disorder and/or agoraphobia. A larger, randomized control trial is now needed to evaluate the efficacy of this program compared to a control group and to explore long-term outcomes. Clinical trial registration number ACTRN12618001501235

The acute and long-term mental health impacts of the COVID-19 pandemic are unknown. The current study examined the acute mental health responses to the COVID-19 pandemic in 5070 adult participants in Australia, using an online survey administered during the peak of the outbreak in Australia (27th March to 7th April 2020). Self-report questionnaires examined COVID-19 fears and behavioural responses to COVID-19, as well as the severity of psychological distress (depression, anxiety and stress), health anxiety, contamination fears, alcohol use, and physical activity. 78% of respondents reported that their mental health had worsened since the outbreak, one quarter (25.9%) were very or extremely worried about contracting COVID-19, and half (52.7%) were worried about family and friends contracting COVID-19. Uncertainty, loneliness and financial worries (50%) were common. Rates of elevated psychological distress were higher than expected, with 62%, 50%, and 64% of respondents reporting elevated depression, anxiety and stress levels respectively, and one in four reporting elevated health anxiety in the past week. Participants with self-reported history of a mental health diagnosis had significantly higher distress, health anxiety, and COVID-19 fears than those without a prior mental health diagnosis. Demographic (e.g., non-binary or different gender identity; Aboriginal and Torres Strait Islander status), occupational (e.g., being a carer or stay at home parent), and psychological (e.g., perceived risk of contracting COVID-19) factors were associated with distress. Results revealed that precautionary behaviours (e.g., washing hands, using hand sanitiser, avoiding social events) were common, although in contrast to previous research, higher engagement in hygiene behaviours was associated with higher stress and anxiety levels. These results highlight the serious acute impact of COVID-19 on the mental health of respondents, and the need for proactive, accessible digital mental

Cyberchondria refers to an emotional-behavioural pattern whereby excessive online searches lead to increased anxiety about one's own health status. It has been shown to be associated with health anxiety, however it is unknown whether existing cognitive behavioural therapy (CBT) interventions targeting health anxiety also improve cyberchondria. This study aimed to determine whether internet-delivered cognitive behavioural therapy (iCBT) for severe health anxiety led to improvements in self-reported cyberchondria and whether improvements in cyberchondria were associated with improvements in health anxiety observed during treatment. Methods: We analysed secondary data from a randomised controlled trial (RCT) comparing an iCBT group (n = 41) to an active control group who underwent psychoeducation, monitoring and clinical support (n = 41) in health anxious patients with a DSM-5 diagnosis of Illness Anxiety Disorder and/or Somatic Symptom Disorder. The iCBT group showed a significantly greater reduction in cyberchondria compared to the control group, with large differences at post-treatment on the Cyberchondria Severity Scale Total scale (CSS; Hedges g = 1.09), and the Compulsion, Distress, Excessiveness subscales of the CSS (g's: 0.8–1.13). Mediation analyses showed improvements in health anxiety in the iCBT group were mediated by improvements in all of the CSS subscales, except for the Mistrust subscale. Conclusions: Internet CBT for health anxiety improves cyberchondria.

The current systematic review and meta-analysis examined the efficacy and effectiveness of internet-delivered cognitive behavioral therapy (iCBT) on panic disorder and agoraphobia symptom severity. Twenty-seven studies were identified. Results from nine randomised controlled trials (RCTs) showed that iCBT outperformed waiting list and information controls for panic (g = 1.22) and agoraphobia (g = .91) symptoms, but the quality of RCTs varied and heterogeneity was high. Results from three RCTs suggested iCBT may have similar outcomes to face-to-face CBT in reducing panic and agoraphobia symptoms. Within-group effect sizes between baseline and post-treatment were large for panic (n = 29, g = 1.16) and medium for agoraphobia symptom severity (n = 18, g = .73). Subgroup analyses of within-group pre/post treatment effect sizes showed larger within-group effect sizes for efficacy studies (n = 15) compared to effectiveness studies (n = 14) for panic severity (g = 1.38 vs. g = .98) but not agoraphobia severity. There was no impact of program length, inclusion or arousal reduction techniques, or degree of clinician support. Within-group effects of iCBT suggest the reduction in panic and agoraphobia symptom severity is maintained at 3–6 month follow-up (n = 12).

Aim: To examine the efficacy of transdiagnostic internet-delivered cognitive behavioural therapy (iCBT), mindfulness-enhanced iCBT, and stand-alone online mindfulness training compared with a usual care control group (TAU) for clinical anxiety and depression. Method: Individuals (N = 158) with a DSM-5 diagnosis of a depressive and/or anxiety disorder were randomised to one of the three clinician-guided online interventions, or TAU over a 14-week intervention period. The primary outcomes were self-reported depression (PHQ-9) and anxiety (GAD-7) severity at post-treatment. Secondary outcomes included adherence rates, functional impairment (WHODAS-II), general distress (K−10), and diagnostic status at the 3-month follow-up (intervention groups). Results: All three programs achieved significant and large reductions in symptoms of depression (g = 0.89–1.53), anxiety (g = 1.04–1.40), and distress (g = 1.25–1.76); and medium to large reductions in functional impairment (g = 0.53–0.98) from baseline to post-treatment and 3-month follow-up. Intention-to-treat linear mixed models showed that all three online programs were superior to usual care at reducing symptoms of depression (g = 0.89–1.18) and anxiety (g = 1.00–1.23). Conclusion: Transdiagnostic iCBT, mindfulness-enhanced iCBT and online mindfulness training are more efficacious for treating depression and anxiety disorders than usual care, and represent an accessible treatment option for these disorders.

Background: Anxiety and depression are common during pregnancy and associated with adverse outcomes for the mother and infant if left untreated. Despite the need to improve treatment accessibility and uptake in this population, no studies have investigated internet-delivered cognitive behavioural therapy (iCBT) for antenatal anxiety and depression. In a randomised controlled trial, we examined the efficacy and acceptability of a brief, unguided iCBT intervention – the MUMentum Pregnancy program – in pregnant women with anxiety and/or depression. Methods: Participants meeting clinical threshold on validated self-report measures of generalised anxiety and/or depression were recruited online and randomised to iCBT (n = 43) or a treatment as usual (TAU) control (n = 44). Outcomes were assessed at baseline, post-treatment and four-week follow-up; and included anxiety, depression, psychological distress, antenatal bonding, quality of life, and treatment acceptability. Results: Of the 36 women who started iCBT, 26 completed all three lessons of treatment (76% adherence rate). iCBT produced moderate to large effect size reductions for anxiety on the GAD-7 (Hedges’ g = 0.76) and psychological distress on the Kessler-10 (g = 0.88) that were superior to TAU. Only small nonsignificant differences were found for depression outcomes (g = < 0.35). Participants reported that iCBT was an acceptable treatment for antenatal anxiety and/or depression. Limitations: Lack of an active control condition and long-term postpartum follow-up. Conclusions: This is the first study to evaluate brief unguided iCBT for antenatal anxiety and depression. While our findings are promising, particularly for anxiety reduction, additional RCTs are required to establish treatment efficacy.

Perinatal anxiety and depression are common and associated with negative outcomes if left untreated. Internet-delivered treatments can improve treatment accessibility and have demonstrated effectiveness in treating anxiety and depression in the general adult population. However, little is known about how effective and acceptable these interventions are for perinatal women. This paper describes a systematic review and preliminary meta-analysis of internet-delivered psychological interventions for the treatment of clinical anxiety and depression in perinatal women. A systematic search was carried out of seven electronic databases. Seven studies evaluating six distinct internet-delivered psychological interventions were identified. Of the seven studies included, two were open trials and five were randomized controlled trials with a total of 595 participants. Preliminary findings indicate large improvements in depression (Hedges g = 1.67; 95% CI 1.38–1.96) and anxiety (Hedges g = 1.08; 95% CI 0.80–1.36) from pre- to post-treatment. However, between-group differences between interventions and control conditions were only moderate for depression (Hedges g = 0.60; 95% CI 0.43–0.78) and anxiety (Hedges g = 0.54; 95% CI 0.24–0.85). While our preliminary findings are promising, this review identifies an area of research still in its early stages with significant gaps in the literature that need to be addressed. Further research is needed to establish the efficacy and acceptability of these interventions in this population, especially for antenatal depression and anxiety disorders.

Background First responders (police, fire and ambulance officers) are at a significantly increased risk of experiencing poor mental health, including depression and post-Traumatic stress disorder. These conditions are associated with high rates of cardiovascular disease, in part due to low levels of physical activity (PA) and high levels of sedentary behaviour. Using a person's social support system may be an effective solution to help increase PA levels to improve mental and physical health outcomes. We will examine the efficacy of a group-based online intervention in increasing PA in first responders and their support partners, iteratively codesigned with advisors with lived experience of mental illness among first responders. Methods This study will recruit a convenience sample of self-identified sedentary first responders and their self-selected support partners to a 10-week PA programme delivered through a private Facebook group. We will deliver education on predetermined topics related to PA and diet and provide participants with an activity tracker (Fitbit). A stepped-wedged design will be applied to compare multiple baselines to intervention and follow-up phases within subjects. Five cohorts of n=20 will be recruited, with each cohort randomised to a different baseline length. Our primary outcome will be psychological distress (Kessler-6). Secondary outcomes include feasibility, self-report and objective PA data (Simple Physical Activity Questionnaire and Fitbit accelerometry), depression and anxiety (Depression Anxiety and Stress Scale-21 items), post-Traumatic stress disorder symptoms (PTSD Checklist for DSM-5), quality of life Assessment of Quality of Life-6 dimensions, sleep quality (The Pittsburgh Sleep Quality Index), suicidal ideation (Suicidal Ideation Attributes Scale) and social support for exercise. The mobile data collection platform MetricWire will be used. Ethics and dissemination Ethical approval was obtained from the University of New South W

Recent research has sought to identify maladaptive behaviors that are associated with generalized anxiety disorder (GAD). Although maladaptive behaviors may contribute to the maintenance of the disorder, little is known about how these behaviors change during the course of cognitive behavior therapy and whether such changes relate to treatment outcomes. This study examined changes in maladaptive behaviors, symptoms of GAD and depression, and disability across internet-based cognitive behavior therapy (iCBT) for GAD in two large clinical samples (N = 206 and 298). Assessments were completed at pre and post-treatment. Significant reductions in patients’ maladaptive behaviors (WBI), GAD and depression severity (GAD-7 and PHQ-9), and disability (WHODAS-II) were observed following iCBT. Reductions in maladaptive behaviors predicted post-treatment GAD symptom severity after controlling for pre-treatment GAD symptom severity and reductions in depression and disability. Findings provide further support for the importance of maladaptive behaviors in contemporary conceptualizations of GAD and highlight the need for experimental investigations to examine the possible causal relationships between maladaptive behaviors and GAD.

Objective: Chronic pain is a prevalent and burdensome condition. Reboot Online was developed to address treatment barriers traditionally associated with accessing face-to-face chronic pain management programs. It is a comprehensive multidisciplinary online treatment program, based on an existing and effective face-to-face multidisciplinary pain program (the Reboot program). Design & Participants: A CONSORT-compliant randomized controlled trial was conducted, enrolling adults who had experienced pain for three months or longer. Methods: Participants were randomly allocated to either an eight-lesson multidisciplinary pain management program, Reboot Online (N = 41), or to a usual care (UC) control group (N = 39). Clinical oversight was provided by a multidisciplinary team remotely, including physiotherapists and clinical psychologists. Participants were measured at baseline, post-treatment (week 16), and three-month follow-up (week 28). Results: Intention-to-treat analyses revealed that Reboot Online was significantly more effective than UC at increasing pain self-efficacy (g = 0.69) at post-treatment, and these gains were maintained at follow-up. Similarly, Reboot Online was significantly more effective than UC on several secondary measures at post-treatment and follow-up, including movement-based fear avoidance and pain-related disability, but it did not significantly reduce pain interference or depression compared with UC. Clinician input was minimal, and adherence to Reboot Online was moderate, with 61% of participants (N = 25) completing all eight lessons. Conclusions: Reboot Online presents a novel approach to multidisciplinary pain management and offers an accessible, efficacious alternative and viable treatment option for chronic pain management.

Background: A 2010 meta-analysis of internet-delivered CBT (iCBT) RCTs argued ‘computer therapy for the anxiety and depressive disorders was effective, acceptable and practical health care’ without data on effectiveness or practicality in routine practice. Methods: Databases, reviews and meta-analyses were searched for randomised controlled trials of cCBT or iCBT versus a control group (care as usual, waitlist, information control, psychological placebo, pill placebo, etc.) in people who met diagnostic criteria for major depression, panic disorder, social anxiety disorder or generalised anxiety disorder. Number randomised, superiority of treatment versus control (Hedges'g) on primary outcome measure, length of follow-up, follow up outcome, patient adherence and satisfaction/harm were extracted; risk of bias was assessed. A search for studies on effectiveness of iCBT in clinical practice was conducted. Results: 64 trials were identified. The mean effect size (efficacy) was g = 0.80 (NNT 2.34), and benefit was evident across all four disorders. Improvement was maintained at follow-with good acceptability. Research probity was good, and bias risk low. In addition, nine studies comparing iCBT with traditional face-to-face CBT and three comparing iCBT with bibliotherapy were identified. All three modes of treatment delivery appeared equally beneficial. The results of effectiveness studies were congruent with the results of the efficacy trials. Limitations: Studies variably measured changes in quality of life and disability, and the lack of comparisons with medications weakens the field. Conclusions: The conclusions drawn in the original meta-analysis are now supported: iCBT for the anxiety and depressive disorders is effective, acceptable and practical health care.

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.

Anxiety, mood and trauma-related disorders are common, affecting up to 20% of adults. Many of these individuals will experience symptoms of more than one disorder as diagnostically defined. However, most psychological treatments focus on individual disorders and are less effective for those who experience comorbid disorders. The Healthy and Resilient Mind Programme: Building Blocks for Mental Wellbeing (HARMONIC) trial introduces a novel transdiagnostic intervention (Shaping Healthy Minds (SHM)), which synthesises several evidence-based treatment techniques to address the gap in effective interventions for people with complex and comorbid difficulties. This early phase trial aims to estimate the efficacy and feasibility of the transdiagnostic intervention in preparation for a later-phase randomised controlled trial, and to explore mechanisms of change.

Objectives. Chronic pain causes significant disability and psychological distress, but barriers often prevent people with pain from engaging in traditional face-To-face pain management programs. Accessible, feasible, and effective alternative treatment options are needed. Methods. A prospective, feasibility pilot study was conducted to trial a novel, multidisciplinary online pain management program: The "Reboot Online" program. Twenty participants experiencing pain of at least three months duration were recruited. All participants were enrolled in the "Reboot Online" program, consisting of eight online lessons completed over 16 weeks. Lessons incorporated multidisciplinary input from medical pain specialists, physiotherapists, and psychologists. Participants were assessed at pretreatment, posttreatment, and follow-up using a suite of outcome measures examining pain, disability, catastrophising, self-efficacy, mood, and psychological distress. Results. 13 participants completed the program (65% adherence). Following treatment, the participants had significantly improved scores on measures of pain-related disability, self-efficacy, catastrophising thoughts, acceptance of pain, symptoms of depression, and general psychological distress. These findings were retained at three months posttreatment. Participants also reported high levels of acceptability and satisfaction with the program. Discussion. This study provides pilot evidence for the feasibility, acceptability, and effectiveness of an online, multidisciplinary pain program: "Reboot Online." Future investigations will focus on conducting a randomised controlled trial of this innovative and promising treatment for chronic pain. This trial is registered with ACTRN12615000660583.

Transdiagnostic internet-delivered cognitive behavioural therapies (iCBT) are effective in treating anxiety and depression, but there is room for improvement. In this study, we developed a new Mindfulness-Enhanced iCBT intervention by incorporating formal and informal mindfulness exercises within an existing transdiagnostic iCBT program for mixed depression and anxiety. We examined the acceptability, feasibility, and outcomes of this new program in a sample of 22 adults with anxiety disorders and/or major depression. Participants took part in the 7-lesson clinician-guided online intervention over 14 weeks, and completed measures of distress (K-10), anxiety (GAD-7), depression (PHQ-9), mindfulness (FFMQ) and well-being (WEMBWS) at pre-, mid-, post-treatment, and three months post-treatment. Treatment engagement, satisfaction, and side-effects were assessed. We found large, significant reductions in distress (Hedges g = 1.55), anxiety (g = 1.39), and depression (g = 1.96), and improvements in trait mindfulness (g = 0.98) and well-being (g = 1.26) between baseline and post-treatment, all of which were maintained at follow-up. Treatment satisfaction was high for treatment-completers, with minimal side-effects reported, although adherence was lower than expected (59.1% completed). These findings show that it is feasible to integrate online mindfulness training with iCBT for the treatment of anxiety and depression, but further research is needed to improve adherence. A randomised controlled trial is needed to explore the efficacy of this program.

Background: The use of maladaptive behaviors by individuals with generalized anxiety disorder (GAD) is theoretically important and clinically meaningful. However, little is known about the specificity of avoidant behaviors to GAD and how these behaviors can be reliably assessed. Aims: This study replicated and extended the psychometric evaluation of the Worry Behaviors Inventory (WBI), a brief self-report measure of avoidant behaviors associated with GAD. Method: The WBI was administered to a hospital-based sample of adults seeking treatment for symptoms of anxiety and/or depression (n = 639) and to a community sample (n = 55). Participants completed measures of symptom severity (GAD, depression, panic disorder, health anxiety, and personality disorder), and measures of checking, reassurance-seeking and behavioral inhibition. Analyses evaluated the factor structure, convergent, divergent, incremental, and discriminant validity, as well the temporal stability and treatment sensitivity of the WBI. Results: The two-factor structure found in the preliminary psychometric evaluation of the WBI was replicated. The WBI was sensitive to changes across treatment and correlated well with measures of GAD symptom severity and maladaptive behaviors. The WBI was more strongly related to GAD symptom severity than other disorders. The WBI discriminated between clinical and community samples. Conclusions: The WBI provides clinicians and researchers with a brief, clinically meaningful index of problematic behaviors that may guide treatment decisions and contribute to our understanding of maintaining factors in GAD.

OBJECTIVE: To determine the efficacy of an internet-based cognitive-behavioral therapy (iCBT) program for depression in older adults with osteoarthritis (OA) of the knee and comorbid major depressive disorder (MDD). METHODS: We conducted a randomized controlled trial in 69 adults (ages ≥50 years) meeting criteria for MDD and OA of the knee with 1-week postintervention (week 11) and 3-month followup (week 24) end points. Patients were allocated to either a 10-week iCBT program for depression added to treatment as usual (TAU) or to a TAU control group. Primary outcomes were depression symptoms (9-Item Patient Health Questionnaire [PHQ-9]) and psychological distress (Kessler-10 [K-10]). Secondary outcomes included arthritis self-efficacy (Arthritis Self-Efficacy Scale [ASES]), OA pain, stiffness, physical function (Western Ontario and McMaster Universities Osteoarthritis Index [WOMAC]), and physical and mental health (Short Form 12-Item health survey physical component and mental component summaries). Depression status was assessed by blinded diagnostic interview (the Mini-International Neuropsychiatric Interview) at intake and followup. RESULTS: Intent-to-treat analyses indicated between-group superiority of iCBT over TAU on the primary outcomes (PHQ-9: Hedges g = 1.01, 95% confidence interval [95% CI] 0.47, 1.54; K-10: Hedges g = 0.75, 95% CI 0.23, 1.28), at postintervention and 3-month followup (PHQ-9: Hedges g = 0.90, 95% CI 0.36, 1.44; K-10: Hedges g = 0.94, 95% CI 0.41, 1.48), and on secondary OA-specific measures (ASES: Hedges g = -0.81, 95% CI -0.29, -1.33; WOMAC: Hedges g = 0.56-0.65, 95% CI 0.04, 1.18) at the 3-month followup. The majority of iCBT participants (84%) no longer met diagnostic criteria at 3-month followup. CONCLUSION: Results support the efficacy of an iCBT program (requiring no face-to-face contact) for depression in individuals with comorbid depression and OA of the knee. Importantly, the benefits of the program extended beyond reduced depress

BACKGROUND: We aimed to evaluate the acceptability and efficacy of two brief, Internet-delivered cognitive behavioural therapy interventions-MUMentum Pregnancy (study 1) and MUMentum Postnatal (study 2)-in reducing maternal symptoms of anxiety, depression and overall psychological distress compared to usual care in the perinatal period. METHODS/DESIGN: Women who are pregnant (study 1) or < 12 months postpartum (study 2) with current clinically elevated symptoms of anxiety and/or depression according to validated self-report measures, will be recruited via the research arm of a not-for-profit clinical and research unit in Australia and randomised to the intervention group or treatment as usual control group. The minimum sample size for each study (alpha 0.05; power 0.80 for a g of 0.80) was identified as 50 with at least 10% more to be recruited to account for expected attrition. The co-primary outcome measures are the Patient Health Questionnaire 9-item scale and Generalised Anxiety Disorder 7-item scale to measure depression and anxiety symptom severity, respectively, and will be administered at the following primary time-points: baseline; post treatment; and at one-month follow-up. Psychological distress will be measured according to the Kessler-10 psychological distress scale at each primary time-point and will also be completed before each lesson for those in the intervention group. The total trial period nine weeks for study 1 and 11 weeks for study 2. Program efficacy will be determined using intent-to-treat mixed models. Maintenance of gains will be assessed at one-month follow-up. DISCUSSION: The current randomised controlled trial seeks to extend the literature by evaluating the efficacy of a self-help intervention for women in the perinatal period. If efficacious, the MUMentum programs have the potential to be easily disseminated via https://thiswayup.org.au/ to large numbers of women across Australia as an intervention for women screening positive for anx

INTRODUCTION: Anxiety, mood and trauma-related disorders are common, affecting up to 20% of adults. Many of these individuals will experience symptoms of more than one disorder as diagnostically defined. However, most psychological treatments focus on individual disorders and are less effective for those who experience comorbid disorders. The Healthy and Resilient Mind Programme: Building Blocks for Mental Wellbeing (HARMONIC) trial introduces a novel transdiagnostic intervention (Shaping Healthy Minds (SHM)), which synthesises several evidence-based treatment techniques to address the gap in effective interventions for people with complex and comorbid difficulties. This early phase trial aims to estimate the efficacy and feasibility of the transdiagnostic intervention in preparation for a later-phase randomised controlled trial, and to explore mechanisms of change. METHODS/ANALYSIS: We outline a patient-level two-arm randomised controlled trial (HARMONIC) that compares SHM to treatment-as-usual for individuals aged >18 years (n=50) with comorbid mood, anxiety, obsessive-compulsive or trauma/stressor disorders diagnoses, recruited from outpatient psychological services within the UK National Health Service (NHS). The co-primary outcomes will be 3-month follow-up scores on self-report measures of depressive symptoms, anxiety symptoms, and disability and functional impairment. Secondary outcomes include changes in symptoms linked to individual disorders. We will assess the feasibility and acceptability of SHM, the utility of proposed outcome measures, and refine the treatment manuals in preparation for a later-phase trial. ETHICS AND DISSEMINATION: This trial protocol has been approved by the Health Research Authority of the NHS of the UK (East of England, Reference: 16/EE/0095). We anticipate that trial findings will inform future revisions of clinical guidelines for numerous forms of mood, anxiety and stressor-related disorders. Findings will be disseminated broadly

After publication of the original article [1], the authors noted that the affiliation for Ms. Jessica Smith was incorrect. In the original version of the manuscript, the affiliation is listed as affiliation 4 from the Author details list: Psycho-oncology Co-operative Research Group (PoCoG), School of Psychology, Level 6, Chris O'Brien Lifehouse (C39Z), The University of Sydney, Sydney, NSW 2006, Australia. However this is incorrect and the correct affiliation should be affiliation 1 from the Author details list: Clinical Research Unit for Anxiety and Depression (CRUfAD), UNSW School of Psychiatry at St Vincent's Hospital, Level 4, O'Brien Centre, St Vincent's Hospital, 394 Victoria Street, Sydney, NSW 2010, Australia. This has been updated in the affiliations used for this Correction.

Clinician-guided internet-delivered cognitive behavioral therapy (iCBT) is an effective treatment for depression and anxiety disorders. However, few studies have examined the effectiveness of completely unguided iCBT. The current research investigated adherence to, and the effects of two brief unguided iCBT programs on depression and anxiety symptom severity, and psychological distress. Study 1 evaluated a four-lesson transdiagnostic iCBT program for anxiety and depression (N = 927). Study 2 then evaluated a three-lesson version of the same program (N = 5107) in order to determine whether reducing the duration of treatment would influence adherence and treatment effects. Cross-tabulations and independent t-tests were used to examine the extent to which users adhered and remitted with treatment. Linear mixed models were used to evaluate the effects of treatment in the entire sample, and stratified by gender and completer-type (e.g., users who completed some but not all lessons vs. those who completed all lessons of treatment). Among those who began treatment, 13.83% completed all four lessons in Study 1. Shortening the course to three lessons did not improve adherence (e.g., 13.11% in Study 2). In both studies, users, on average, experienced moderate to large effect size reductions in anxiety and depressive symptom severity, as well as psychological distress. This pattern of results was robust across gender and for those who did and did not complete treatment. Approximately two-thirds of those who completed treatment experienced remission. These data show that unguided iCBT programs, which have the capacity to attract large numbers of individuals with clinically significant symptoms of depression and anxiety, and psychological distress, can produce significant improvements in wellbeing.

Objective To investigate the reliability, validity and utility of DSM-5 illness anxiety disorder (IAD) and somatic symptom disorder (SSD), and explore their overlap with DSM-IV Hypochondriasis in a health anxious sample. Methods Treatment-seeking patients with health anxiety (N = 118) completed structured diagnostic interviews to assess DSM-IV Hypochondriasis, DSM-5 IAD, SSD, and comorbid mental disorders, and completed self-report measures of health anxiety, comorbid symptoms, cognitions and behaviours, and service utilization. Results IAD and SSD were more reliable diagnoses than Hypochondriasis (kappa estimates: IAD: 0.80, SSD: 0.92, Hypochondriasis: 0.60). 45% of patients were diagnosed with SSD, 47% with IAD, and 8% with comorbid IAD/SSD. Most patients with IAD fluctuated between seeking and avoiding care (61%), whereas care-seeking (25%) and care-avoidant subtypes were less common (14%). Half the sample met criteria for DSM-IV Hypochondriasis; of those, 56% met criteria for SSD criteria, 36% for IAD, and 8% for comorbid IAD/SSD. Compared to IAD, SSD was characterized by more severe health anxiety, somatic symptoms, depression, and higher health service use, and higher rates of major depressive disorder, panic disorder and agoraphobia. Conclusions DSM-5 IAD and SSD classifications reliably detect more cases of clinically significant health anxiety than DSM-IV Hypochondriasis. The differences between IAD and SSD appear to be due to severity. Future research should explore the generalizability of these findings to other samples, and whether diagnostic status predicts treatment response and long-term outcome.

Cognitive behavioural therapy (CBT) is an effective treatment for health anxiety, but more research is needed to evaluate accessible, low cost ways of delivering CBT. Internet CBT may be effective, but there are no iCBT programs available outside of Sweden. We developed the first English-language clinician-guided iCBT program for health anxiety and conducted an open pilot trial (n = 16) to examine its acceptability, and impact on health anxiety and comorbidity, disability, and the cognitive and behavioural factors thought to maintain the disorder (e.g., catastrophising, hypervigilance). 13/16 participants completed the program (81% adherence). We found large and significant reductions in health anxiety, depression, distress, anxiety and disability (g's > 1.0), dysfunctional cognitions, behaviours and body vigilance between pre- and post-treatment, which were maintained at 3-month follow-up. The results provide preliminary support for the use of iCBT for health anxiety. Randomised controlled efficacy trials are now needed to evaluate this program.

Background Internet cognitive-behavioural therapy (iCBT) for panic disorder of up to 10 lessons is well established. The utility of briefer programmes is unknown. Aims To determine the efficacy and effectiveness of a five-lesson iCBT programme for panic disorder. Method Study 1 (efficacy): Randomised controlled trial comparing active iCBT (n=27) and waiting list control participants (n=36) on measures of panic severity and comorbid symptoms. Study 2 (effectiveness): 330 primary care patients completed the iCBT programme under the supervision of primary care practitioners. Results iCBT was significantly more effective than waiting list control in reducing panic (g=0.97, 95% CI 0.34 to 1.61), distress (g=0.92, 95% CI 0.28 to 1.55), disability (g=0.81, 95% CI 0.19 to 1.44) and depression (g=0.79, 95% CI 0.17 to 1.41), and gains were maintained at 3 months post-treatment (iCBT group). iCBT remained effective in primary care, but lower completion rates were found (56.1% in study 2 v. 63% in study 1). Adherence appeared to be related to therapist contact. Conclusions The five-lesson Panic Program has utility for treating panic disorder, which translates to primary care. Adherence may be enhanced with therapist contact.

Background Understanding behavioral avoidance associated with generalized anxiety disorder (GAD) has implications for the classification, theoretical conceptualization, and clinical management of the disorder. This study describes the development and preliminary psychometric evaluation of a self-report measure of avoidant behaviors associated with GAD: the Worry Behaviors Inventory (WBI). Methods The WBI was administered to treatment-seeking patients (N=1201). Convergent validity was assessed by correlating the WBI with measures of GAD symptom severity. Divergent validity was assessed by correlating the WBI with measures of general disability and measures of depression, social anxiety and panic disorder symptom severity. Results Exploratory and confirmatory factor analyses supported a two-factor structure (Safety Behaviors and Avoidance). Internal reliability was acceptable for the 10-item WBI scale (α=.86), Safety Behaviors (α=.85) and Avoidance subscales (α=.75). Evidence of convergent, divergent, and discriminant validity is reported. WBI subscales demonstrated differential associations with measures of symptom severity. The Safety Behaviors subscale was more strongly associated with GAD symptoms than symptoms of other disorders, whereas the Avoidance subscale was as strongly correlated with GAD severity as it was with depression, social anxiety and panic disorder severity. Limitations Structured diagnostic interviews were not conducted therefor validity analyses are limited to probable diagnoses based on self-report. The cross-sectional design precluded examination of the WBI's temporal stability and treatment sensitivity. Conclusions Preliminary evidence supports the use of the WBI in research and clinical settings and may assist clinicians to identify behaviors that are theorized to maintain GAD and that can be targeted during psychological treatment.

Background: This randomised controlled trial (RCT) with two parallel arms will evaluate the efficacy of an internet-delivered six-lesson 10-week cognitive behavioural therapy (iCBT) intervention for posttraumatic stress disorder (PTSD). It will also investigate the association between changes in PTSD symptoms, intolerance of uncertainty (IU) and emotion regulation. Methods/Design: Patients with PTSD will be recruited via the research arm of a not-for-profit clinical and research unit in Australia and randomised to a treatment group or waitlist control group. The minimum sample size for each group (alpha 0.05, power 0.80 for a g of 0.47) was identified as 72, but 10% more will be recruited to hedge against expected attrition. PTSD diagnosis will be determined using the PTSD module from the Mini International Neuropsychiatric Interview version 5.0.0. The PTSD Checklist - Civilian version (PCL-C) will be used to measure PTSD symptoms (the primary outcome measure), with the Intolerance of Uncertainty Scale 12-item version (IUS-12) and the Emotion Regulation Questionnaire (ERQ) used to measure intolerance of uncertainty and emotion regulation, respectively. The PCL-C will be administered to the treatment group before each lesson of the PTSD program and at 3-month follow-up. The IUS-12 and ERQ will be administered before lessons 1 and 4, at post-treatment and at 3-month follow-up. The waitlist control group will complete these measures at week 1, week 5 and week 11 of the waitlist period. PTSD program efficacy will be determined using intent-to-treat mixed models. Maintenance of gains will be assessed at 3-month follow-up. Mediation analyses using PROCESS will be used to examine the association between change in PTSD symptoms over treatment and change in each of IU and emotion regulation ability in separate analyses. Discussion: The current RCT seeks to replicate previous efficacy findings of iCBT for PTSD in a formally assessed PTSD sample from the general population. Fi

Objective: Chronic pain is a prevalent and disabling condition. Reboot Online was developed as a multidisciplinary and widely accessible online treatment program for chronic pain. It has been shown to be effective in clinical trials, but the effectiveness of this program in routine care settings remains unknown. This study aimed to examine program adherence and effectiveness in a real-world sample of participants completing Reboot Online in the community. Design and subjects: A retrospective cohort study was conducted using real-world data from participants referred the Reboot Online program by clinicians as part of their routine care, from April 2017 to April 2019. Methods: Routinely collected data on program adherence, participant demography and clinical outcomes were included in the analyses. Measures included the Pain Self Efficacy Questionnaire, Brief Pain Inventory, Tampa Scale of Kinesiophobia, Pain-Disability Index, and Patient Health Questionnaire 9-item (depression). Logistic regression was used to investigate whether certain factors predict program adherence (completion versus noncompletion), and linear mixed models were used to examine effectiveness. Results: In total, 867 participants were included in the analyses, and 583 engaged with at least one Reboot Online lesson. Of these, 42% (n = 247) completed the course in its entirety, with rurality and lower Tampa scores being significant predictors of adherence. Completers demonstrated significant improvements across all outcome measures (effect sizes ranging from 0.22 to 0.51). Conclusions: Reboot Online is an effective treatment for chronic pain in the routine care setting. Adherence was variable (overall 42%), and could be predicted by rurality and less fear of movement at baseline.

OBJECTIVE: Chronic pain is a prevalent and burdensome condition. Reboot Online was developed to address treatment barriers traditionally associated with accessing face-to-face chronic pain management programs. It is a comprehensive multidisciplinary online treatment program, based on an existing and effective face-to-face multidisciplinary pain program (the Reboot program). DESIGN & PARTICIPANTS: A CONSORT-compliant randomized controlled trial was conducted, enrolling adults who had experienced pain for three months or longer. METHODS: Participants were randomly allocated to either an eight-lesson multidisciplinary pain management program, Reboot Online (N = 41), or to a usual care (UC) control group (N = 39). Clinical oversight was provided by a multidisciplinary team remotely, including physiotherapists and clinical psychologists. Participants were measured at baseline, post-treatment (week 16), and three-month follow-up (week 28). RESULTS: Intention-to-treat analyses revealed that Reboot Online was significantly more effective than UC at increasing pain self-efficacy (g = 0.69) at post-treatment, and these gains were maintained at follow-up. Similarly, Reboot Online was significantly more effective than UC on several secondary measures at post-treatment and follow-up, including movement-based fear avoidance and pain-related disability, but it did not significantly reduce pain interference or depression compared with UC. Clinician input was minimal, and adherence to Reboot Online was moderate, with 61% of participants (N = 25) completing all eight lessons. CONCLUSIONS: Reboot Online presents a novel approach to multidisciplinary pain management and offers an accessible, efficacious alternative and viable treatment option for chronic pain management.

Objective: Chronic pain is a prevalent and disabling condition. Reboot Online was developed as a multidisciplinary and widely accessible online treatment program for chronic pain. It has been shown to be effective in clinical trials, but the effectiveness of this program in routine care settings remains unknown. This study aimed to examine program adherence and effectiveness in a real-world sample of participants completing Reboot Online in the community. Design and subjects: A retrospective cohort study was conducted using real-world data from participants referred the Reboot Online program by clinicians as part of their routine care, from April 2017 to April 2019. Methods: Routinely collected data on program adherence, participant demography and clinical outcomes were included in the analyses. Measures included the Pain Self Efficacy Questionnaire, Brief Pain Inventory, Tampa Scale of Kinesiophobia, Pain-Disability Index, and Patient Health Questionnaire 9-item (depression). Logistic regression was used to investigate whether certain factors predict program adherence (completion versus noncompletion), and linear mixed models were used to examine effectiveness. Results: In total, 867 participants were included in the analyses, and 583 engaged with at least one Reboot Online lesson. Of these, 42% (n = 247) completed the course in its entirety, with rurality and lower Tampa scores being significant predictors of adherence. Completers demonstrated significant improvements across all outcome measures (effect sizes ranging from 0.22 to 0.51). Conclusions: Reboot Online is an effective treatment for chronic pain in the routine care setting. Adherence was variable (overall 42%), and could be predicted by rurality and less fear of movement at baseline.

OBJECTIVE: Chronic pain is a prevalent and burdensome condition. Reboot Online was developed to address treatment barriers traditionally associated with accessing face-to-face chronic pain management programs. It is a comprehensive multidisciplinary online treatment program, based on an existing and effective face-to-face multidisciplinary pain program (the Reboot program). DESIGN & PARTICIPANTS: A CONSORT-compliant randomized controlled trial was conducted, enrolling adults who had experienced pain for three months or longer. METHODS: Participants were randomly allocated to either an eight-lesson multidisciplinary pain management program, Reboot Online (N = 41), or to a usual care (UC) control group (N = 39). Clinical oversight was provided by a multidisciplinary team remotely, including physiotherapists and clinical psychologists. Participants were measured at baseline, post-treatment (week 16), and three-month follow-up (week 28). RESULTS: Intention-to-treat analyses revealed that Reboot Online was significantly more effective than UC at increasing pain self-efficacy (g = 0.69) at post-treatment, and these gains were maintained at follow-up. Similarly, Reboot Online was significantly more effective than UC on several secondary measures at post-treatment and follow-up, including movement-based fear avoidance and pain-related disability, but it did not significantly reduce pain interference or depression compared with UC. Clinician input was minimal, and adherence to Reboot Online was moderate, with 61% of participants (N = 25) completing all eight lessons. CONCLUSIONS: Reboot Online presents a novel approach to multidisciplinary pain management and offers an accessible, efficacious alternative and viable treatment option for chronic pain management.