Computerised Cognitive Behavioural Therapy Research Articles

Diagnosing and tracking depression based on eye movement in response to virtual reality.

Depression is a prevalent mental illness that is primarily diagnosed using psychological and behavioral assessments. However, these assessments lack objective and quantitative indices, making rapid and objective detection challenging. In this study, we propose a novel method for depression detection based on eye movement data captured in response to virtual reality (VR). Eye movement data was collected and used to establish high-performance classification and prediction models. Four machine learning algorithms, namely eXtreme Gradient Boosting (XGBoost), multilayer perceptron (MLP), Support Vector Machine (SVM), and Random Forest, were employed. The models were evaluated using five-fold cross-validation, and performance metrics including accuracy, precision, recall, area under the curve (AUC), and F1-score were assessed. The predicted error for the Patient Health Questionnaire-9 (PHQ-9) score was also determined. The XGBoost model achieved a mean accuracy of 76%, precision of 94%, recall of 73%, and AUC of 82%, with an F1-score of 78%. The MLP model achieved a classification accuracy of 86%, precision of 96%, recall of 91%, and AUC of 86%, with an F1-score of 92%. The predicted error for the PHQ-9 score ranged from -0.6 to 0.6.To investigate the role of computerized cognitive behavioral therapy (CCBT) in treating depression, participants were divided into intervention and control groups. The intervention group received CCBT, while the control group received no treatment. After five CCBT sessions, significant changes were observed in the eye movement indices of fixation and saccade, as well as in the PHQ-9 scores. These two indices played significant roles in the predictive model, indicating their potential as biomarkers for detecting depression symptoms. The results suggest that eye movement indices obtained using a VR eye tracker can serve as useful biomarkers for detecting depression symptoms. Specifically, the fixation and saccade indices showed promise in predicting depression. Furthermore, CCBT demonstrated effectiveness in treating depression, as evidenced by the observed changes in eye movement indices and PHQ-9 scores. In conclusion, this study presents a novel approach for depression detection using eye movement data captured in VR. The findings highlight the potential of eye movement indices as biomarkers and underscore the effectiveness of CCBT in treating depression.

Psychiatrists Explore Their Inner Hemingway

Psychiatrists Explore Their Inner Hemingway

A cognitive behavioural therapy smartphone app for adolescent depression and anxiety: co-design of ClearlyMe

Abstract Adolescence is associated with heightened vulnerability to symptoms of depression and anxiety. In-person and computerised cognitive behavioural therapy (CBT) are effective treatment options, yet uptake and engagement remain low. Smartphone delivery of CBT offers an alternative, highly accessible method of delivering CBT. However, there is no freely available CBT smartphone application (app) specifically designed to reduce depression and anxiety symptoms in adolescents. The aim of this study was to design a new CBT smartphone app (ClearlyMe) that targets depressive and anxiety symptoms in adolescents. We engaged in a rigorous co-design process with adolescents (n=36), parents (n=15), and mental health professionals (n=32). Co-design involved: (1) discovery of users’ needs, views and preferences by conducting focus groups, (2) defining app features through ideation workshops and user consultations, (3) designing therapeutic CBT content and visual features, and (4) testing prototypes. Users were involved at every step and the process was iterative, with findings carried forward to ensure continued refinement of concepts and features. We found a preference for vibrant, cheerful colours and illustrations and non-endorsement of gamification and chatbots, which contrasted with findings from other studies. Preferences were largely consistent between the three user groups. However, adolescents preferred an app that could be used autonomously without professional support, whereas mental health professionals desired a product for use as a therapy adjunct to support CBT skill development. The importance of co-design, and particularly the inclusion of all stakeholders throughout the entire co-design process, is discussed in relation to the design of ClearlyMe. Key learning aims (1) To understand the co-design process that underpins the development of a new CBT smartphone app for youth with elevated symptoms of depression and anxiety. (2) To understand adolescent, parent and mental health professionals’ key preferences regarding the features and functionality of a CBT smartphone app for adolescents with elevated symptoms of depression and anxiety. (3) To understand how ClearlyMe has been designed as both a therapy adjunct and stand-alone program, and how it can be incorporated into day-to-day clinical practice.

The Effect of Computerized Cognitive Behavioral Therapy on People's Anxiety and Depression During the 6 Months of Wuhan's Lockdown of COVID-19 Epidemic: A Pilot Study.

Background: The effectiveness of computerized cognitive behavioral therapy (CCBT) has been proven for mild and moderate anxiety and depression. In 2016, the first official Chinese CCBT system was launched by Chinese Cognitive Behavior Therapy Professional Organizations and included four items: getting out of depression, overcoming anxiety, staying away from insomnia and facing Obsessive-compulsive disorder. During the COVID-19 epidemic, Chinese CCBT system served the public for free. This study explored the effects of CCBT on anxiety and depression by comparing the use of the platform during the epidemic and during the same period in 2019.Methods: Users were divided into a depression group or an anxiety group according to their own discretion. The subjects used the self-rating anxiety scale (SAS) and self-rating depression scale (SDS) before each training. Each training group completed the corresponding CCBT training project, which had 5–6 training sessions, an average of once every 5 days. The training content in 2019 and 2020 was identical. This study compared the demographic characteristics, depression, and anxiety levels of CCBT platform users during the lockdown period in Wuhan (LP2020), where the outbreak was concentrated in China, from January 23 to July 23, 2020 and the same period in 2019 (SP2019).Result: (1) There were significant differences in gender (χ2 = 7.215, P = 0.007), region (χ2 = 4.225, P = 0.040) and duration of illness (χ2 = 7.867, P = 0.049) between the two periods. (2) There was a positive Pearson correlation between the number of users of CCBT platform during LP2020 and number of confirmed cases of COVID-19 in each province (r = 0.9429, P < 0.001). (3) In LP2020, the SAS (t = 2.579, P = 0.011) and SDS (t = 2.894, P = 0.004) scores at T0 in Hubei were significantly higher than those in other regions. (4) The CCBT platform has an obvious effect on anxiety (F = 4.74, P = 0.009) and depression on users (F = 4.44, P = 0.009).Conclusion: This study showed women, students and people who are more seriously affected by the epidemic were more likely to accept the CCBT training. The CCBT platform made a significant contribution toward alleviating the anxiety and depression symptoms of users during the epidemic. When face-to-face psychotherapy is not available during the epidemic, CCBT can be used as an effective alternative.

Ontology-Based Personalized Cognitive Behavioural Plans for Patients with Mild Depression.

Cognitive Behavioural Therapy (CBT) is an action-oriented psychotherapy that combines cognitive and behavioural techniques for psychosocial treatment for depression, and is considered by many to be the golden standard in psychotherapy. More recently, computerized CBT (CCBT) has been deployed to help increase availability and access to this evidence-based therapy. In this vein, a CBT ontology, as a shared common understanding of the domain, can facilitate the aggregation, verification, and operationalization of computerized CBT knowledge. Moreover, as opposed to black-box applications, ontology-enabled systems allow recommended, evidence-based treatment interventions to be traced back to the corresponding psychological concepts. We used a Knowledge Management approach to synthesize and computerize CBT knowledge from multiple sources into a CBT ontology, which allows generating personalized action plans for treating mild depression, using the Web Ontology Language (OWL) and Semantic Web Rule Language (SWRL). We performed a formative evaluation of the CBT ontology in terms of its completeness, consistency, and conciseness.

Revising Computerized Therapy for Wider Appeal Among Adolescents: Youth Perspectives on a Revised Version of SPARX.

Background: The way in which computerized therapy is presented may be important for its uptake. We aimed to explore adolescents’ views on the appeal of a tested computerized cognitive behavioral therapy (CCBT) for depression (SPARX), and a revised version (SPARX-R). The versions were similar but while SPARX is presented explicitly as a treatment for depression, SPARX-R is presented as providing skills that could be useful for young people for when they were depressed, down, angry, or stressed. Methods: We held 9 focus groups with a total of 79 adolescents (13–19 years old; 47 females; 34 New Zealand European; 22 Māori or Pacific; 60 reported having experienced feeling down or low for at least several days in a row). Groups viewed the opening sequences of SPARX and SPARX-R (in random order), then took part in a semi-structured discussion and completed a brief questionnaire. Responses were analyzed using a general inductive approach. Results: Participants considered both SPARX and SPARX-R useful and considered the stated purpose of the program to be important. Four themes contrasted the two approaches. The first, “naming depression is risky”, referred to perceptions that an explicit focus on depression could be off-putting, including for adolescents with depression. The second theme of “universality” reflected preferences for a universal approach as young people might not recognize that they were depressed, and all would benefit from the program. In contrast, “validation” reflected the view of a significant minority that naming depression could be validating for some. Finally, the theme of “choice” reflected a near-unanimously expressed preference for both options to be offered, allowing user choice. In questionnaire responses, 40 (68%) of participants preferred SPARX-R, 13 (18%) preferred SPARX, while 10 (14%) “didn’t mind”. Responses were similar among participants who reported that they had experienced at least a few days of low mood and those who had not. Conclusions: The way a CCBT program is presented may have implications for its appeal. The potential population impact of CCBT programs explicitly targeting depression and those targeting more universal feelings such as being stressed or feeling depressed should be explored for varied user groups.

Engagement with a cognitive behavioural therapy mobile phone app predicts changes in mental health and wellbeing: MoodMission

ObjectiveThere is an abundance of evidence supporting the efficacy of computerised cognitive behavioural therapy (CBT), but few studies have evaluated mobile applications (apps) that provide CBT strategies. This study investigating the relationships between mental health outcomes and engagement with a mobile app that recommended short CBT strategies.MethodParticipants downloaded the MoodMission app from the iOS and Android app stores, completed in‐app baseline assessments, and final assessments 30-days later. Participants reported their mood to MoodMission when they were feeling low or anxious and received a list of short CBT strategies to choose from and engage in. Data from 617 assessment completers (71% female; M age = 27-years) were analysed via hierarchical and mediated regressions.ResultsApp engagement ratings predicted increases in mental wellbeing. Mediation analyses revealed that there were indirect effects of app engagement on depression, anxiety, and mental wellbeing via the mediator of coping self‐efficacy. Subsample analyses found this only for participants who were experiencing a moderate level of depression or anxiety at the time of the baseline assessment.ConclusionsEngaging with an app that provides CBT strategies can increase mental wellbeing, and coping self‐efficacy may mediate effects of the app in individuals experiencing moderate depression or anxiety.

REVIEW OF COMPUTERIZED COGNITIVE BEHAVIOURAL THERAPY BASED ON CULTURE CENTERED DESIGN FOR SUBSTANCE ABUSE IN MALAYSIA

Addiction is an activity that includes video games, internet, gambling and substance abuse such as drugs, cigarettes and alcohol. These symptoms had spread among adults, adolescents and children. The phenomenon could be resolved through various approaches in the area physiological therapies such as Cognitive Behavioural Therapy (CBT). CBT plays a vital role, whereby it is a face-to-face therapy between patient and counsellor that treats emotional and physical health conditions. The advancement of information technology has spawned new innovations for therapy using computer known as Computerized Cognitive Behavioural Therapy (CCBT). The central issue concerning CCBT focuses on the patient's continuous engagement throughout entire therapy. It is known that continuous engagement in using CCBT is dependable on the patient's cultural background. Indirectly, it proves the existence of factors that influence patient's preferences and engagement towards CCBT. Therefore, designing appropriate design interface based on Culture Centred Design (CCD) in order for patient to sustain their engagement level towards CCBT is essential. Furthermore, patients also fail to complete the therapy due to the lack of interest and focus, resulting in disengagement towards CCBT. Various engagement models and theories on developing cultural based interface for CCBT was discussed. Therefore, research aims to review literatures, identify factors that prone to provide continuous engagement CCBT interface which would trigger and guide future research works.

The application and effectiveness of computerized cognitive behavioral therapy in the Chinese population

Objective To analyze the operation of Computerized Cognitive Behavioral Therapy (CCBT) in China for one year, and test the efficacy for Chinese. Methods The data of the users were collected, and the expulsion rate and the characteristics of demographic and disease were analyzed. According to the different items selected by the user, they were divided into the anxiety group (n=897), the depression group (n=674), the insomnia group (n=313), and the forced group (n=229). Anxiety group and depression group were assessed by self-rating anxiety scale(SAS) and self-rating depression scale(SDS) respectively before each treatment. Results (1)The number of shedding people was 1889, and the loss rate was 71%.The differences of exfoliated rates in different age groups (χ2=11.379, P=0.023) and different age groups (χ2=19.336, P=0.001) were statistically significant.(2)The user distribution of different treatment groups in different ages (χ2=37.808, P<0.01) and different incidence (χ2=31.018, P<0.01) had significantly different. The user distribution of different age groups in the gender distribution (χ2=21.255, P<0.01), whether associated with other mental disorders (χ2 =21.885, P<0.01), and duration distribution (χ2=56.933, P<0.01) had significant differences.(3)The scores of self rating scale had significant differences in the anxiety group(50.50±15.06, 49.19±12.31, 49.88±14.26, 43.94±14.38, 43.56±16.77, F=3.312, P=0.032) and depression group (58.71±13.55, 55.86±14.45, 53.29±10.64 , 49.93±10.93, 47.14±7.177, F=7.423, P<0.01) before and after treatment. Conclusion The use of CCBT is effective in the Chinese population. Users are concentrated in young patients, first episode patients, and patients with shorter course of disease. Key words: Computerized cognitive behavioral therapy; Depression; Anxiety; Insomnia; Obsessive-compulsive disorder

An Implementation of a Computerized Cognitive Behavioral Treatment Program to Address Student Mental Health Needs: A Pilot Study in an After-School Program

This study evaluated the feasibility and effectiveness of an abbreviated computerized cognitive behavioral therapy (CCBT) software program, Camp Cope-A-Lot, in an after-school setting for elementary students identified as at risk for anxiety and other behavioral problems. Analysis of data from a small sample of students randomly assigned to a treatment or control group suggests that CCBT programs may ease the internalizing symptoms of students. We discuss limitations and implications for practitioners and future research.

Galantamine and Computerized Cognitive Behavioral Therapy for Cocaine Dependence: A Randomized Clinical Trial.

To examine whether galantamine, a cognitive-enhancing medication that is both acetylcholinesterase inhibitor and agonist at nicotinic acetylcholine receptors, is effective at improving cocaine use outcomes and cognitive functioning, alone and in combination with computerized cognitive behavioral therapy (CBT). A 12-week, randomized 2 × 2, factorial trial was conducted to evaluate galantamine versus placebo (double-blind) and computerized CBT plus standard methadone treatment versus standard methadone treatment alone in a community-based methadone maintenance program (September 2009-April 2015). One hundred twenty individuals diagnosed with DSM-IV cocaine use disorder were randomly assigned to the following conditions: (1) galantamine (8 mg/d) plus standard methadone maintenance treatment (treatment as usual [TAU]), (2) placebo plus TAU, (3) galantamine plus computerized CBT plus TAU, or (4) placebo plus computerized CBT plus TAU; medication administration was supervised at the time of daily methadone dosing. The primary cocaine use outcome was change in percent days of abstinence over time. Number of cocaine-negative urine toxicology screens submitted and cognitive function were secondary outcomes. Random effect regression analysis indicated significant reductions in frequency of cocaine use over time, with significant treatment-by-time effects for both galantamine over placebo (F = 5.3, P = .02, d = 0.34) and computerized CBT over standard methadone treatment (F = 4.2, P = .04, d = 0.30) but no evidence of significant benefit of the combination over either treatment alone. Pretreatment to posttreatment comparisons of multiple indices of cognitive functioning, including sustained attention, indicated no benefit of galantamine over placebo. Findings suggest benefits of galantamine and computerized CBT for reducing cocaine use in this sample. Although galantamine did not improve measures of cognitive function in this sample, multiple measures of cognitive function were associated with cocaine use outcomes, underlining the significance of cognitive function in cocaine treatment outcomes. ClinicalTrials.gov identifier: NCT00809835.

Outcomes of an online computerized cognitive behavioral treatment program for treating chinese patients with depression: A pilot study.

This pilot study examined the feasibility, safety, and effectiveness of using an online computerized cognitive behavioral therapy (CBT) for treating Chinese patients with depression. Seventy-five Chinese patients with depression in outpatient clinics were randomized into a 5-week intervention. The intervention group received the Chinese translated version of MoodGYM in addition to usual treatment, and the control group continued with usual treatment. Participants completed the 20-item Center for Epidemiologic Studies Depression Scale (CES-D) pre- and post-intervention. We conducted multivariate linear regression analyses to compare the change in CES-D scores for completers after the intervention. Seventy-eight percent (n=29) of participants in the intervention group and 84% (n=32) of patients in the control group completed the post-treatment assessments, and no serious adverse events were reported. Results indicated that while both groups significantly improved at post test, the intervention group improved significantly more than the control group (t(59)=2.37, p=0.02). Computerized CBT can be a cost-effective adjunct to medication treatment, particularly in areas with limited access to mental health services. The use of online computerized CBT has been found to be effective in many studies in Western countries, but has not been studied among Chinese outpatients. This study suggests that online computerized CBT is acceptable, and that MoodGYM is a feasible and efficacious augmentative treatment, specifically when used within an outpatient clinic population. With this small sample size we were able to demonstrate that the addition of MoodGYM to usual care improved treatment outcomes for outpatients with depression in China.

Effectiveness of Online Collaborative Care for Treating Mood and Anxiety Disorders in Primary Care

Collaborative care for depression and anxiety is superior to usual care from primary care physicians for these conditions; however, challenges limit its provision in routine practice and at scale. Advances in technology may overcome these barriers but have yet to be tested. To examine the effectiveness of combining an internet support group (ISG) with an online computerized cognitive behavioral therapy (CCBT) provided via a collaborative care program for treating depression and anxiety vs CCBT alone and whether providing CCBT in this manner is more effective than usual care. In this 3-arm randomized clinical trial with blinded outcome assessments, primary care physicians from 26 primary care practices in Pittsburgh, Pennsylvania, referred 2884 patients aged 18 to 75 years in response to an electronic medical record prompt from August 2012 to September 2014. Overall, 704 patients (24.4%) met all eligibility criteria and were randomized to CCBT alone (n = 301), CCBT+ISG (n = 302), or usual care (n = 101). Intent-to-treat analyses were conducted November 2015 to January 2017. Six months of guided access to an 8-session CCBT program provided by care managers who informed primary care physicians of their patients' progress and promoted patient engagement with our online programs. Mental health-related quality of life (12-Item Short-Form Health Survey Mental Health Composite Scale) and depression and anxiety symptoms (Patient-Reported Outcomes Measurement Information System) at 6-month follow-up, with treatment durability assessed 6 months later. Of the 704 randomized patients, 562 patients (79.8%) were female, and the mean (SD) age was 42.7 (14.3) years. A total of 604 patients (85.8%) completed our primary 6-month outcome assessment. At 6-month assessment, 254 of 301 patients (84.4%) receiving CCBT alone started the program (mean [SD] sessions completed, 5.4 [2.8]), and 228 of 302 patients (75.5%) in the CCBT+ISG cohort logged into the ISG at least once, of whom 141 (61.8%) provided 1 or more comments or posts (mean, 10.5; median [range], 3 [1-306]). Patients receiving CCBT+ISG reported similar 6-month improvements in mental health-related quality of life, mood, and anxiety symptoms compared with patients receiving CCBT alone. However, compared with patients receiving usual care, patients in the CCBT alone cohort reported significant 6-month effect size improvements in mood (effect size, 0.31; 95% CI, 0.09-0.53) and anxiety (effect size, 0.26; 95% CI, 0.05-0.48) that persisted 6 months later, and completing more CCBT sessions produced greater effect size improvements in mental health-related quality of life and symptoms. While providing moderated access to an ISG provided no additional benefit over guided CCBT at improving mental health-related quality of life, mood, and anxiety symptoms, guided CCBT alone is more effective than usual care for these conditions. clinicaltrials.gov Identifier: NCT01482806.

My care manager, my computer therapy and me: The relationship triangle in computerized cognitive behavioural therapy

Previous research has reported mixed findings regarding the relationship between therapeutic alliance, engagement and outcomes in e-mental health. This study aims to overcome some of the methodological limitations of previous research and extend our understanding of alliance-outcome relationships in e-mental health by exploring the nature of the relationship triangle between the patient, their care manager and their computerized cognitive behavioural therapy (CCBT) program, accessed with or without an Internet Support Group (ISG).Positive patient-rated alliance with both their care manager and the CCBT program itself was found and these were significantly associated with measures of engagement and clinical outcome. The magnitude of this association was moderate, and within the range of that reported for traditional face-to-face psychotherapies in recent meta-analyses. Limitations of the study, including the reliance on completer data and a cross-sectional design, and directions for future research are presented. Our findings suggest that both the training and supervision of support staff and the optimization of CCBT interventions themselves to enhance alliance and experience may lead to improved engagement and outcomes.Trial Registration: Clinicaltrials.gov Identifier: NCT01482806https://www.clinicaltrials.gov/ct2/show/NCT01482806?term=rollman&rank=4

Reducing depressive symptomatology with a smartphone app: study protocol for a randomized, placebo-controlled trial

BackgroundDepression has become one of the leading contributors to the global disease burden. Evidence-based treatments for depression are available, but access to them is still limited in some instances. As technology has become more integrated into mental health care, computerized cognitive behavioral therapy (CBT) protocols have become available and have been recently transposed to mobile environments (e.g., smartphones) in the form of “apps.” Preliminary research on some depression apps has shown promising results in reducing subthreshold or mild to moderate depressive symptoms. However, this small number of studies reports a low statistical power and they have not yet been replicated. Moreover, none of them included an active placebo comparison group. This is problematic, as a “digital placebo effect” may explain some of the positive effects documented until now. The aim of this study is to test a newly developed mobile app firmly grounded in the CBT theory of depression to determine whether this app is clinically useful in decreasing moderate depressive symptoms when compared with an active placebo. Additionally, we are interested in the app’s effect on emotional wellbeing and depressogenic cognitions.Methods/designRomanian-speaking adults (18 years and older) with access to a computer and the Internet and owning a smartphone are included in the study. A randomized, three-arm clinical trial is being conducted (i.e., active intervention, placebo intervention and delayed intervention). Two hundred and twenty participants with moderate depressive symptoms (i.e., obtaining scores >9 and ≤16 on the Patient Health Questionnaire, PHQ-9) will be randomized to the three conditions. Participants undergoing therapy, presenting serious mental health problems, or legal or health issues that would prevent them from using the app, as well as participants reporting suicidal ideation are excluded. Participants randomized to the active and placebo interventions will use the smartphone app for 6 weeks. A short therapist check-in via phone will take place every week. Participants in the delayed-intervention condition will be given access to the app after 6 weeks from randomization. The primary outcome is the level of depressive symptomatology. The intervention delivered through the app to the active condition includes psychoeducational materials and exercises based on CBT for depression, while the placebo intervention uses a sham version of the app (i.e., similar structure of courses and exercises).DiscussionTo our knowledge, this study protocol is the first to test the efficacy of a smartphone app for depressive symptomatology in the form of a randomized controlled trial (RCT) that includes an active placebo condition. As such, this can substantially add to the body of evidence supporting the use of apps designed to decrease depression.Trial registrationClinicalTrials.gov, identifier: NCT03060200. Registered on 1 February 2017. The first participant was enrolled on 17 February 2017.

A feasibility and pilot trial of computerised cognitive behaviour therapy for depression in adolescents: lessons learned from planning and conducting a randomised controlled trial

Purpose The purpose of this paper is to focus upon the challenges faced by a research team when conducting a computerised cognitive behaviour therapy (CCBT) trial for adolescents with low mood/depression and how solutions were sought to eliminate these difficulties in future child and adolescent mental health clinical research. Design/methodology/approach The authors have presented a number of problems faced by the research team when conducting a randomised controlled trial (RCT) concerning adolescents with low mood/depression. Findings From examining the problems faced by the research team, the authors have provided key pieces of advice for prospective adolescent mental health RCTs. This advice includes developing clear project plans, setting strategies to encourage and maintain study information in the community and support recruitment, and keeping your organisation appraised of study needs and network and involve governance departments, IT and finance departments in these discussions early. Originality/value RCTs, particularly those focusing on child and adolescent mental health, can face a number of difficulties throughout its stages of completion (from protocol development to follow-up analysis). Studies involving the use of technologies add a layer of complexity to this. This review will be of value to researchers aiming to run a high-quality RCT concerning child and adolescent mental health.

Computerised cognitive behaviour therapy for major depression: a reply to the REEACT trial

Computerised cognitive behavioural therapy (CCBT) has been shown to be an efficacious treatment for depression. A recent meta-analysis of 9 studies showed a large mean effect size superiority over control...

Does Computerized Cognitive Behavioral Therapy Help People with Inflammatory Bowel Disease? A Randomized Controlled Trial.

Cognitive behavioral therapy may be useful for improving health-related quality of life (HRQOL) of at least some patients with inflammatory bowel disease (IBD), especially those with psychiatric comorbidities. However, cognitive behavioral therapy can be difficult to access. These difficulties can be overcome by computerized cognitive behavioral therapy (CCBT). This is a randomized controlled trial of a self-administered CCBT intervention for patients with IBD focused on improving HRQOL. It is hypothesized that CCBT completers will have an improved HRQOL relative to people not allocated to CCBT. Patients with IBD were randomly allocated to CCBT (n = 113) versus treatment as usual (n = 86). The IBD Questionnaire at 12 weeks after baseline was the primary outcome, while generic HRQOL, anxiety, depression, coping strategies, perceived stress, and IBD symptoms were secondary outcomes. Outcomes were also measured at 6 months after baseline. Predictors of dropout were also determined. Twenty-nine CCBT participants (25.7%) completed the CCBT. The IBD Questionnaire was significantly increased at 12 weeks in CCBT completers compared with treatment-as-usual patients (F = 6.38, P = 0.01). Short Form-12 mental score (F = 5.00, P = 0.03) was also significantly better in CCBT compared with treatment-as-usual patients at 12 weeks. These outcomes were not maintained at 6 months. The predictors of dropout were baseline depression, biological use, lower IBD Questionnaire scores, and not having steroids. Improvements at 12 weeks after baseline were not maintained at 6 months. Future research should aim to improve adherence rates. Moreover, CCBT may not work for patients with IBD with comorbid depression.

Enhanced effects of combined cognitive bias modification and computerised cognitive behaviour therapy on social anxiety

This study examines whether combined cognitive bias modification for interpretative biases (CBM-I) and computerised cognitive behaviour therapy (C-CBT) can produce enhanced positive effects on interpretation biases and social anxiety. Forty socially anxious students were randomly assigned into two conditions, an intervention group (positive CBM-I + C-CBT) or an active control (neutral CBM-I + C-CBT). At pre-test, participants completed measures of social anxiety, interpretative bias, cognitive distortions, and social and work adjustment. They were exposed to 6 × 30 min sessions of web-based interventions including three sessions of either positive or neutral CBM-I and three sessions of C-CBT, one session per day. At post-test and two-week follow-up, participants completed the baseline measures. A combined positive CBM-I + C-CBT produced less negative interpretations of ambiguous situations than neutral CBM-I + C-CBT. The results also showed that both positive CBM-I + C-CBT and neutral CBM-I + C-CBT reduced social anxiety and cognitive distortions as well as improving work and social adjustment. However, greater effect sizes were observed in the positive CBM-I + C-CBT condition than the control. This indicates that adding positive CBM-I to C-CBT enhanced the training effects on social anxiety, cognitive distortions, and social and work adjustment compared to the neutral CBM-I + C-CBT condition.

Computerised cognitive behavioural therapy for psychological distress in patients with physical illnesses: a systematic review.

Whilst cognitive behaviour therapy (CBT) has been shown to improve outcomes in patients with chronic physical illnesses, there are barriers to its implementation which computerised CBT (CCBT) may overcome. We reviewed all studies of CCBT for treating psychological distress (PD) in chronic physical illness populations. Systematic searches were undertaken in July, 2013. All articles about CCBT for PD secondary to physical illness were included. Twenty-nine studies (thirty papers) were included. Overall, the quality of evidence was poor. Studies about irritable bowel syndrome demonstrated the best evidence. The evidence for CCBT in the treatment of PD in physical illness patients is modest, perhaps due to the seldom use of PD screening. More robust research designs including longer follow up periods are required. Nevertheless, no studies reported a negative effect of CCBT on any outcome measures.