An Unguided, Computerized Cognitive Behavioral Therapy Intervention (TreadWill) in a Lower Middle-Income Country: Pragmatic Randomized Controlled Trial.

BACKGROUND: Globally, most individuals who are susceptible to depression do not receive adequate or timely treatment. Unguided computerized cognitive behavioral therapy (cCBT) has the potential to bridge this treatment gap. However, the real-world effectiveness of unguided cCBT interventions, particularly in low- and middle-income countries (LMICs), remains inconclusive. OBJECTIVE: In this study, we aimed to report the design and development of a new unguided cCBT-based multicomponent intervention, TreadWill, and its pragmatic evaluation. TreadWill was designed to be fully automated, engaging, easy to use, and accessible to LMICs. METHODS: To evaluate the effectiveness of TreadWill and the engagement level, we performed a double-blind, fully remote, and randomized controlled trial with 598 participants in India and analyzed the data using a completer's analysis. RESULTS: The users who completed at least half of the modules in TreadWill showed significant reduction in depression-related (P=.04) and anxiety-related (P=.02) symptoms compared with the waitlist control. Compared with a plain-text version with the same therapeutic content, the full-featured version of TreadWill showed significantly higher engagement (P=.01). CONCLUSIONS: Our study provides a new resource and evidence for the use of unguided cCBT as a scalable intervention in LMICs. TRIAL REGISTRATION: ClinicalTrials.gov NCT03445598; https://clinicaltrials.gov/ct2/show/NCT03445598.

The Efficacy of Computerized Cognitive Behavioral Therapy for Depressive and Anxiety Symptoms in Patients With COVID-19: Randomized Controlled Trial.

BACKGROUND: The prevalence of depressive and anxiety symptoms in patients with COVID-19 is higher than usual. Previous studies have shown that there are drug-to-drug interactions between antiretroviral drugs and antidepressants. Therefore, an effective and safe treatment method was needed. Cognitive behavioral therapy (CBT) is the first-line psychological therapy in clinical treatment. Computerized CBT (cCBT) was proven to be an effective alternative to CBT and does not require face-to-face therapy between a therapist and the patient, which suited the COVID-19 pandemic response. OBJECTIVE: This study aims to evaluate the efficacy of the cCBT program we developed in improving depressive and anxiety symptoms among patients with COVID-19. METHODS: We customized a cCBT program focused on improving depressive and anxiety symptoms among patients with COVID-19, and then, we assessed its effectiveness. Screening was based on symptoms of depression or anxiety for patients who scored ≥7 on the Hamilton Depression Rating Scale (HAMD17) or the Hamilton Anxiety Scale (HAMA). A total of 252 patients with COVID-19 at five sites were randomized into two groups: cCBT + treatment as usual (TAU; n=126) and TAU without cCBT (n=126). The cCBT + TAU group received the cCBT intervention program for 1 week. The primary efficacy measures were the HAMD17 and HAMA scores. The secondary outcome measures were the Self-Rating Depression Scale (SDS), Self-Rating Anxiety Scale (SAS), and Athens Insomnia Scale (AIS). Assessments were carried out pre- and postintervention. The patients' symptoms of anxiety and depression in one of the centers were assessed again within 1 month after the postintervention assessment. RESULTS: The cCBT + TAU group displayed a significantly decreased score on the HAMD17, HAMA, SDS, SAS, and AIS after the intervention compared to the TAU group (all P<.001). A mixed-effects repeated measures model revealed significant improvement in symptoms of depression (HAMD17 and SDS scores, both P<.001), anxiety (HAMA and SAS scores, both P<.001), and insomnia (AIS score, P=.002) during the postintervention and follow-up periods in the cCBT + TAU group. Additionally, the improvement of insomnia among females (P=.14) and those with middle school education (P=.48) in the cCBT + TAU group showed no significant differences when compared to the TAU group. CONCLUSIONS: The findings of this study suggest that the cCBT program we developed was an effective nonpharmacological treatment for symptoms of anxiety, depression, and insomnia among patients with COVID-19. Further research is warranted to investigate the long-term effects of cCBT for symptoms of anxiety, depression, and insomnia in patients with COVID-19. TRIAL REGISTRATION: Chinese Clinical Trial Registry ChiCTR2000030084; http://www.chictr.org.cn/showprojen.aspx?proj=49952.

Reducing health inequalities trough digital options in mental health: A physician's perspective.

This article explores the physicians' perspective regarding the potential of computerized cognitive behavioral therapies (cCBTs) to overcome inequalities in the context of mental health care provision. The main benefits were related to the ability of cCBTs to provide care in a convenient and efficient manner, enhancing its accessibility. These aspects were perceived more important than cost-effectivity of treatment, which is often claimed to be the key benefit of cCBTs. Age and general acceptance of CBT were the most significant individual-level separators of perceptions, while the sector in which the physician works was seen as the main structural-level separator.

Manage Your Life Online: A Web-Based Randomized Controlled Trial Evaluating the Effectiveness of a Problem-Solving Intervention in a Student Sample.

BACKGROUND: Evidence for the efficacy of computer-based psychological interventions is growing. A number of such interventions have been found to be effective, especially for mild to moderate cases. They largely rely on psychoeducation and 'homework tasks', and are specific to certain diagnoses (e.g. depression). AIMS: This paper presents the results of a web-based randomized controlled trial of Manage Your Life Online (MYLO), a program that uses artificial intelligence to engage the participant in a conversation across any problem topic. METHOD: Healthy volunteers (n = 213) completed a baseline questionnaire and were randomized to the MYLO program or to an active control condition where they used the program ELIZA, which emulates a Rogerian psychotherapist. Participants completed a single session before completing post-study and 2-week follow-up measures. RESULTS: Analyses were per protocol with intent to follow-up. Both programs were associated with improvements in problem distress, anxiety and depression post-intervention, and again 2 weeks later, but MYLO was not found to be more effective than ELIZA. MYLO was rated as significantly more helpful than ELIZA, but there was no main effect of intervention on problem resolution. CONCLUSIONS: Findings are consistent with those of a previous smaller, laboratory-based trial and provide support for the acceptability and effectiveness of MYLO delivered over the internet for a non-clinical sample. The lack of a no-treatment control condition means that the effect of spontaneous recovery cannot be ruled out.

@Home eTherapy Service for People with Common Mental Health Problems: an Evaluation.

BACKGROUND: Ensuring rapid access to psychological interventions is a priority of mental health services. The involvement of peer workers to support the delivery of more accessible treatment options such as computerized cognitive behaviour therapy (CCBT) is recognized. AIMS: To evaluate the implementation of a third sector remote CCBT @Home eTherapy service for people experiencing common mental health problems supported by individuals with lived experience. METHOD: Supported CCBT packages with telephone support were delivered over a 30-month period. Self-complete measures identifying levels of depression, anxiety and functioning were administered at each treatment appointment. RESULTS: Over 2000 people were referred to the @Home eTherapy service; two-thirds attended an initial assessment and 53.4% of referrals assigned to CCBT completed treatment. Statistically significant improvements in anxiety, depression and functioning were found, with 61.6% of treated clients meeting recovery criteria. CONCLUSIONS: The service meets Improving Access to Psychological Therapies (IAPT) key performance targets, and is comparable to other IAPT services using CCBT. Evidence for the successful implementation of such a service by a third sector organization is provided.

[Can we do therapy without a therapist? Active components of computer-based CBT for depression]. / Peut-on faire une TCC sans thérapeute ? Composantes actives des TCC informatisées pour la dépression.

OBJECTIVES: Computer-delivered Cognitive Behavioral Therapies (C-CBT) are emerging as therapeutic techniques which contribute to overcome the barriers of health care access in adult populations with depression. The C-CBTs provide CBT techniques in a highly structured format comprising a number of educational lessons, homework, multimedia illustrations and supplementary materials via interactive computer interfaces. Programs are often administrated with a minimal or regular support provided by a clinician or a technician via email, telephone, online forums, or during face-to-face consultations. However, a lot of C-CBT is provided without any therapeutic support. Several reports showed that C-CBTs, both guided or unguided by a therapist, may be reliable and effective for patients with depression, and their use was recommended as part of the first step of the clinical care. The aim of the present qualitative review is to describe the operational format and functioning of five of the most cited unguided C-CBT programs for depression, to analyze their characteristics according to the CBT's principles, and to discuss the results of the randomized clinical trials (RCT) conducted to evaluate its effectiveness, adherence and user's experience. METHODS: We analyzed five C-CBTs: Beating The Blues (BTB), MoodGYM, Sadness, Deprexis and Overcoming Depression on the Internet (ODIN) and 22 randomized controlled studies according to 5 dimensions: General characteristics; Methodology, structure and organization; Specific modules, themes and techniques: Clinical indications, recruitment mode, type of users with depression, type and mode of therapist's support, overall therapeutic effects, adherence and user's experience. RESULTS: The C-CBT have a secured free or pay-to-use access in different languages (English, German, Dutch, and Chinese) but not in French. The programs may be accessed at a medical center or at home via a CD-ROM or via an Internet connection. Some C-CBTs are very close to textual self-helps provided via an E-learning mode (Sadness, MoodGYM, ODIN), others adopt interactive software technologies (Deprexis, BTB), but their interactivity and the possibility of personalization is low. The C-CBTs use similar principles and techniques as in face-to -face CBT (e.g. self-evaluation, psychoeducation, cognitive restructuring, cognitive restructuring of schema, behavioral activation and agenda setting, problem solving techniques, communication and crisis management techniques, relaxation, principles of positive psychology and relapse prevention, positive reinforcement methods, motivational feedbacks, social learning, homework assignments and progress monitoring). The results of the 22 RCSs showed that both the effectiveness and the adherence of the unguided C-CBT is high with self-referred active help-seekers with major depression, but the latter is low with users who are depressed out-patients referred by general practitioners or clinicians. The presence of therapist support improves the effectiveness and the adherence of the C-CBT, especially in clinical out-patients. CONCLUSIONS: In light of the existing insight of the advantages and the inconvenient of the C-CBT, the actual challenge is to find its optimal clinical indication and the modality of its effective use in clinical populations.

A Survey of Attitudes towards Computerized Self-Help for Eating Disorders within a Community-Based Sample.

BACKGROUND: Bulimia nervosa (BN) is an eating disorder with many physical, psychological and social consequences. Guided self-help (GSH) is recommended in the treatment of BN (NICE, 2004). One of the ways in which to provide GSH is via the internet using evidence-based packages with regular support from a clinician or trained support worker. AIMS: The aim of this community-based survey was to investigate attitudes towards online self-help for eating disorders and the support required whilst using such an approach. METHOD: Two-hundred and fifty-three participants with bulimic symptoms completed the survey. The sample was recruited primarily online. The mean age was 29.11 years (SD = 8.67; min = 16, max = 64). RESULTS: Attitudes towards online self-help (SH) for eating disorders were very positive. The inclusion of some form of support to accompany such an intervention was important to the majority of participants. Remote mediums of support such as e-mail, a forum and text messaging were most often selected as helpful. Most participants expressed a preference for weekly support contacts and for flexible support lengths that could respond to support needs as required. CONCLUSIONS: Online self-help for eating disorders is a desirable treatment option for many individuals. The information gathered regarding preferences in the type, medium, duration and frequency of support could be used in the development of future self-help strategies in order to maximize uptake, retention and outcomes.

Improving self-help e-therapy for depression and anxiety among sexual minorities: an analysis of focus groups with lesbians and gay men.

BACKGROUND: E-therapies for depression and anxiety rarely account for lesbian and gay users. This is despite lesbians and gay men being at heightened risk of mood disorders and likely to benefit from having access to tailored self-help resources. OBJECTIVE: We sought to determine how e-therapies for depression and anxiety could be improved to address the therapeutic needs of lesbians and gay men. METHODS: We conducted eight focus groups with lesbians and gay men aged 18 years and older. Focus groups were presented with key modules from the popular e-therapy "MoodGYM". They were asked to evaluate the inclusiveness and relevance of these modules for lesbians and gay men and to think about ways that e-therapies in general could be modified. The focus groups were analyzed qualitatively using a thematic analysis approach to identify major themes. RESULTS: The focus groups indicated that some but not all aspects of MoodGYM were suitable, and suggested ways of improving e-therapies for lesbian and gay users. Suggestions included avoiding language or examples that assumed or implied users were heterosexual, improving inclusiveness by representing non-heterosexual relationships, providing referrals to specialized support services and addressing stigma-related stress, such as "coming out" and experiences of discrimination and harassment. Focus group participants suggested that dedicated e-therapies for lesbians and gay men should be developed or general e-therapies be made more inclusive by using adaptive logic to deliver content appropriate for a user's sexual identity. CONCLUSIONS: Findings from this study offer in-depth guidance for developing e-therapies that more effectively address mental health problems among lesbians and gay men.

Assessing the applicability of e-therapies for depression, anxiety, and other mood disorders among lesbians and gay men: analysis of 24 web- and mobile phone-based self-help interventions.

BACKGROUND: Lesbians and gay men have disproportionately high rates of depression and anxiety, and report lower satisfaction with treatments. In part, this may be because many health care options marginalize them by assuming heterosexuality, or misunderstand and fail to respond to the challenges specifically faced by these groups. E-therapies have particular potential to respond to the mental health needs of lesbians and gay men, but there is little research to determine whether they do so, or how they might be improved. OBJECTIVE: We sought to examine the applicability of existing mental health e-therapies for lesbians and gay men. METHODS: We reviewed 24 Web- and mobile phone-based e-therapies and assessed their performance in eight key areas, including the use of inclusive language and content and whether they addressed mental health stressors for lesbians and gay men, such as experiences of stigma related to their sexual orientation, coming out, and relationship issues that are specific to lesbians and gay men. RESULTS: We found that e-therapies seldom addressed these stressors. Furthermore, 58% (14/24) of therapies contained instances that assumed or suggested the user was heterosexual, with instances especially prevalent among better-evidenced programs. CONCLUSIONS: Our findings, and a detailed review protocol presented in this article, may be used as guides for the future development of mental health e-therapies to better accommodate the needs of lesbians and gay men.

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

Introduction: 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). Methods: 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. Results: 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. Discussion: 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.

Computerized Cognitive Behavioral Therapy for Anxiety and Depression in Farming Communities: Mixed Methods Feasibility Study of Participant Use and Acceptability.

BACKGROUND: Farmers have higher rates of depression than nonfarmers and higher rates of suicide than the general population. Several barriers to help seeking have been identified in farmers, which may be overcome by offering web-based mental health support. Computerized cognitive behavioral therapy (cCBT) is an effective intervention used to prevent and treat mild to moderate depression but has not been evaluated in the farming community. OBJECTIVE: This study explored the feasibility of delivering a cCBT course tailored to farmers using a mixed methods approach. METHODS: Farmers (aged ≥18 years) with no, minimal, or moderately severe depressive symptoms (Patient Health Questionnaire-9 [PHQ-9] score <20) were recruited using web-based and offline advertisements and given access to a cCBT course consisting of 5 core modules and automated and personalized email support. Depression (PHQ-9), anxiety (General Anxiety Disorder-7), and social functioning (Work and Social Adjustment Scale) were measured at baseline and the 8-week follow-up. Wilcoxon signed rank tests assessed changes in scores for all outcome measures over time. Telephone interviews focusing on participant use and satisfaction with the course were analyzed using thematic analysis. RESULTS: Overall, 56 participants were recruited; 27 (48%) through social media. Overall, 62% (35/56) of participants logged into the course. At baseline, almost half of the participants reported experiencing minimal depressive symptoms (25/56, 45%) and mild anxiety (25/56, 45%), and just over half (30/56, 54%) reported mild to moderate functional impairment. Posttreatment data were available for 27% (15/56) of participants (41/56, 73% attrition rate). On average, participants experienced fewer depressive symptoms (P=.38) and less functional impairment (P=.26) at the 8-week follow-up; these results were not statistically significant. Participants experienced significantly fewer symptoms of anxiety at the 8-week follow-up (P=.02). Most participants (13/14, 93%) found the course helpful and easy to access (10/13, 77%) and the email support helpful (12/14, 86%). Qualitative interviews identified heavy workloads and mental health stigma within the farming community as barriers to help seeking. Participants thought that web-based support would be helpful, being convenient and anonymous. There were concerns that older farmers and those with limited internet connections may have difficulty accessing the course. Improvements regarding the layout and content of the course were suggested. Dedicated support from someone with farming knowledge was recommended to improve retention. CONCLUSIONS: cCBT may be a convenient way of supporting mental health within farming communities. However, challenges in recruiting and retaining farmers may indicate that cCBT supported only by email may not be an acceptable mode of mental health care delivery for many; however, it was valued by respondents. Involving farming organizations in planning, recruitment, and support may address these issues. Mental health awareness campaigns targeting farming communities may also help reduce stigma and improve recruitment and retention.

Social Group Identification as a Predictor of Pretreatment Suicidal Ideation and Intent in those Receiving cCBT: Evidence from a Scottish Primary Care Sample.

Suicidal ideation and intent are strongly linked with suicidal attempts and completions; however, no study to date has explored the predictors of ideation and intent within a sample receiving computerized cognitive behavioral therapy (cCBT) as an intervention for mild to moderate depression. The current study investigates the impact of social group identification and socioeconomic deprivation, together with a number of important clinical and demographic factors, on suicidal ideation and intent within a Scottish primary care sample. Participants (N = 1062) were recruited from referrals to a cCBT program, "Beating the Blues" (BtB), over a 33-month period. Participants completed three versions of the group identifications scale (GIS), one for each of three groups: family, community, and a social group of choice. Single-item questions on suicidal ideation and intent were delivered through the BtB program, and demographic and clinical information were collected on commencing BtB. More severe psychological distress, fewer group identifications, younger age, and being male, all significantly predicted the presence of suicidal ideations, however only greater severity of psychological distress was associated with more serious suicidal intent. These results provide valuable insight into factors associated with suicidal ideation and intent within a clinical population from a psychosocial, psychopharmacological, and demographic perspective.

The presence of clear cell glands around the ovarian endometrioid cyst has an association with clear cell carcinoma.

We found some clear cell glands appeared in the endometrioid cysts (ECs) of the ovary (EC-CCG). To explore the clinicopathological features, molecular biological changes, and prognosis in EC-CCG and analyze the association with ovarian clear cell borderline tumors (CCBT) and clear cell carcinoma (CCC). We retrospectively examined 35 cases of EC-CCG, compared them to 13 cases of clear cell cystadenomas, 14 cases of CCBT, and 49 cases of CCC. We analyzed the differences in clinicopathological features and prognosis between the four groups. Data on clinicopathology and survival were gathered. Immunohistochemistry (IHC) was performed in all cases, and we analyzed the molecular changes of 2 cases of EC-CCG and 1 case of CCC by whole-exome sequencing (WES). EC-CCG shared some common clinicopathological features with CCBT: they occurred before menopause, had an elevated serum CA125 level in some cases, had an ovarian cystic mass on B-ultrasound, and had a risk of recurrence. Microscopically, both diseases were based on typical EC, and clear cell glands in the EC cyst wall were seen in varying numbers. Some cases of EC-CCG had IHC results similar to those of CCBT and CCC, with positive expression of HNF1ß and NapsinA; decreased expression of ER, PR, and ARID1A; and increased expression of Ki67 (> 5%). WES results revealed that EC-CCG had mutations in TP53BP1, ZNF462, FN1, and FTL (which was also mutated in CCC). In summary, we found that clear cell glands appearing around EC in the ovary have an association with CCC.

Universal and targeted computerised cognitive behavioural therapy (Think, Feel, Do) for emotional health in schools: results from two exploratory studies.

BACKGROUND: Computerised Cognitive Behaviour Therapy (cCBT) offers the potential to make evidence based interventions more available and accessible for children and young people. Research is currently limited and proof of concept studies are required to explore the viability and possible therapeutic benefits of cCBT as a universal or targeted intervention in schools. METHOD: In Study 1, cCBT was provided as a universal intervention to 13 participants who were assigned to either group cCBT or a matched computer gaming condition. In Study 2, cCBT was provided as a targeted intervention by trained school nurses to 12 participants with mild or moderate emotional problems. RESULTS: Both studies found cCBT to result in immediate post intervention benefits and feedback about the programme was very positive. CONCLUSION: This study provides proof of concept that cCBT provided as a universal or targeted emotional health intervention in schools is viable and may result in immediate therapeutic benefits. These findings are limited by the small sample size and absence of follow-up but suggest that more methodologically robust evaluations should be pursued.

Advances in digital CBT: where are we now, and where next?

Digital CBT refers to the use of digital tools, platforms or devices to deliver or enhance cognitive behavioural therapy assessment, formulation, treatment, training and supervision. The 'Advances in Digital CBT' special issue aimed to document examples of innovative digital CBT practice in this rapidly developing field. In this paper, we have briefly summarised and synthesised the advances demonstrated in this group of articles. These include developments in our understanding of mental health apps, the use of digital tools as an adjunct to therapy, the effectiveness of remotely delivered CBT in routine clinical practice, our understanding of user experiences and involvement, and in digital CBT research methods. We consider the extent of current knowledge in these areas and identify where gaps in evidence lie and how the field could be taken forward to address these. Lastly, we reflect on the broader digital CBT picture and offer our suggestions of six key directions for future research: using robust study designs to evaluate and optimise digital tools; translating and culturally adapting digital tools and practices; understanding and addressing digital exclusion; exploring, reporting and addressing possible negative effects; improving user involvement in design and evaluation; and addressing the implementation gap for digital tools. We suggest that further advances in these areas would be of particular benefit to the digital CBT field.

Acceptability of Computerized Cognitive Behavioral Therapy for Adults: Umbrella Review.

BACKGROUND: Mental ill-health presents a major public health problem. A potential part solution that is receiving increasing attention is computer-delivered psychological therapy, particularly during the COVID-19 pandemic as health care systems moved to remote service delivery. However, computerized cognitive behavioral therapy (cCBT) requires active engagement by service users, and low adherence may minimize treatment effectiveness. Therefore, it is important to investigate the acceptability of cCBT to understand implementation issues and maximize potential benefits. OBJECTIVE: This study aimed to produce a critical appraisal of published reviews about the acceptability of cCBT for adults. METHODS: An umbrella review informed by the Joanna Briggs Institute (JBI) methodology identified systematic reviews about the acceptability of cCBT for common adult mental disorders. Acceptability was operationalized in terms of uptake of, dropping out from, or completion of cCBT treatment; factors that facilitated or impeded adherence; and reports about user, carer, and health care professional experience and satisfaction with cCBT. Databases were searched using search terms informed by relevant published research. Review selection and quality appraisal were guided by the JBI methodology and the AMSTAR tool and undertaken independently by 2 reviewers. RESULTS: The systematic searches of databases identified 234 titles, and 9 reviews (covering 151 unique studies) met the criteria. Most studies were comprised of service users with depression, anxiety, or specifically, panic disorder or phobia. Operationalization of acceptability varied across reviews, thereby making it difficult to synthesize results. There was a similar number of guided and unguided cCBT programs; 34% of guided and 36% of unguided users dropped out; and guidance included email, telephone, face-to-face, and discussion forum support. Guided cCBT was completed in full by 8%-74% of the participants, while 94% completed one module and 67%-84% completed some modules. Unguided cCBT was completed in full by 16%-66% of participants, while 95% completed one module and 54%-93% completed some modules. Guided cCBT appeared to be associated with adherence (sustained via telephone). A preference for face-to-face CBT compared to cCBT (particularly for users who reported feeling isolated), internet or computerized delivery problems, negative perceptions about cCBT, low motivation, too busy or not having enough time, and personal circumstances were stated as reasons for dropping out. Yet, some users favored the anonymous nature of cCBT, and the capacity to undertake cCBT in one's own time was deemed beneficial but also led to avoidance of cCBT. There was inconclusive evidence for an association between sociodemographic variables, mental health status, and cCBT adherence or dropping out. Users tended to be satisfied with cCBT, reported improvements in mental health, and recommended cCBT. Overall, the results indicated that service users' preferences were important considerations regarding the use of cCBT. CONCLUSIONS: The review indicated that "one size did not fit all" regarding the acceptability of cCBT and that individual tailoring of cCBT is required in order to increase population reach, uptake, and adherence and therefore, deliver treatment benefits and improve mental health.

Internet-based psychological therapies: A qualitative study of National Health Service commissioners and managers views.

OBJECTIVES: To explore in-depth the views on Internet-based psychological therapies and their implementation from the perspective of National Health Service (NHS) commissioners and managers. DESIGN: Qualitative interview study. METHOD: Ten NHS commissioners and managers participated in a semi-structured, co-produced interview. Each transcribed interview was double-coded and thematically analysed using The Framework Method. RESULTS: Interviews generated three main themes. (1) Capacity issues across psychological therapy services create barriers to face-to-face therapies, and Internet-based interventions offer a solution. (2) Despite reservations, there is growing acceptance of Internet-based therapies. Different ways of connecting with patients are required, and Internet-based treatments are accessible and empowering treatment options, with guided self-help (GSH) preferred. Internet-based interventions may however exclude some individuals and be a threat to the therapeutic relationship between patient and practitioner. (3) Successful roll-out of Internet-based interventions would be facilitated by a strong empirical- or practice-based evidence, a national coordinated approach and timely training and supervision. Barriers to the roll-out include digital intervention set-up costs and delays due to NHS inflexibility. CONCLUSIONS: The study highlights factors influencing access to Internet-based therapies, important given the rapid evolution of e-therapies, and particularly timely given increasing use of remote therapies due to COVID-19 restrictions. Interviewees were open to Internet-based approaches, particularly GSH interventions, so long as they do not compromise on therapy quality. Interviewees acknowledged implementation may be challenging, and recommendations were offered. PRACTITIONER POINTS: There is a shift in practice and increasingly positive views from NHS staff around remote psychological therapies and different ways of connecting with patients, particularly since the COVID-19 pandemic. There is a strong preference for Internet-based psychological interventions that are guided and that include built-in outcome measures co-produced with service users. There is a need to raise awareness of the growing evidence base for Internet-based psychological therapies, including research examining therapeutic alliance across Internet-based and face-to-face therapies. Challenges implementing Internet-based psychological therapies include therapist resistance to changing working practices in general, and inflexibility of the NHS, and national, coordinated implementation efforts are encouraged.

Perception of Mental Health Care Professionals in Saudi Arabia on Computerized Cognitive Behavioral Therapy: Observational Cross-sectional Study.

BACKGROUND: Mental health disorders are common in Saudi Arabia with a 34% lifetime prevalence. Cognitive behavioral therapy (CBT), a type of psychotherapy, is an evidence-based intervention for the majority of mental disorders. Although the demand for CBT is increasing, unfortunately, there are few therapists available to meet this demand and the therapy is expensive. Computerized cognitive behavioral therapy (cCBT) is a new modality that can help fill this gap. OBJECTIVE: We aimed to measure the knowledge of cCBT among mental health care professionals in Saudi Arabia, and to evaluate their attitudes and preferences toward cCBT. METHODS: This quantitative observational cross-sectional study used a convenience sample, selecting mental health care professionals working in the tertiary hospitals of Saudi Arabia. The participants received a self-administered electronic questionnaire through data collectors measuring their demographics, knowledge, and attitudes about cCBT, and their beliefs about the efficacy of using computers in therapy. RESULTS: Among the 121 participating mental health care professionals, the mean age was 36.55 years and 60.3% were women. Most of the participants expressed uncertainty and demonstrated a lack of knowledge regarding cCBT. However, the majority of participants indicated a positive attitude toward using computers in therapy. Participants agreed with the principles of cCBT, believed in its efficacy, and were generally confident in using computers. Among the notable results, participants having a clinical license and with cCBT experience had more knowledge of cCBT. The overall attitude toward cCBT was not affected by demographic or work-related factors. CONCLUSIONS: Mental health care professionals in Saudi Arabia need more education and training regarding cCBT; however, their attitude toward its use and their comfort in using computers in general show great promise. Further research is needed to assess the acceptance of cCBT by patients in Saudi Arabia, in addition to clinical trials measuring its effectiveness in the Saudi population.

Study design for a randomized clinical trial of cognitive-behavioral therapy for posttraumatic headache.

Posttraumatic headache (PTH) is a common debilitating condition arising from head injury and is highly prevalent among military service members and veterans with traumatic brain injury (TBI). Diagnosis and treatment for PTH is still evolving, and surprisingly little is known about the putative mechanisms that drive these headaches. This manuscript describes the design of a randomized clinical trial of two nonpharmacological (i.e., behavioral) interventions for posttraumatic headache. Design of this trial required careful consideration of PTH diagnosis and inclusion criteria, which was challenging due to the lack of standard clinical characteristics in PTH unique from other types of headaches. The treatments under study differed in clinical focus and dose (i.e., number of treatment sessions), but the trial was designed to balance the treatments as well as possible. Finally, while the primary endpoints for pain research can vary from assessments of pain intensity to objective and subjective functional measures, this trial of PTH interventions chose carefully to establish clinically relevant endpoints and to maximize the opportunity to detect significant differences between groups with two primary outcomes. All these issues are discussed in this manuscript.

The Developmental and Translational Study on Biomarkers and Clinical Characteristics-based Diagnostic and Therapeutic Identification of Major Depressive Disorder: Study Protocol for a Multicenter Randomized Controlled Trial in China.

BACKGROUND: Major depressive disorder (MDD) is a heterogeneous mental disease that encompasses different subtypes and specifiers. Clinically targeted treatments have not been identified yet, although standardized strategies are recommended by several clinical guidelines. The main aim of this study is to respectively identify the precise treatment for three different subtypes of MDD (ie, melancholic, atypical, and anxious). METHODS: An 8-to-12-week, multicenter randomized controlled trial (RCT) with a parallel group design will be conducted to determine the most effective and appropriate treatment. A total of 750 adults diagnosed with MDD will be recruited, categorized into melancholic, atypical or anxious type based on the assessment of the Inventory of Depressive Symptomatology (IDS30) and the Hamilton Anxiety Scale (HAMA), and 1:1 randomly assigned to different intervention groups. Blood draw, EEG test, and MRI scan will be performed at baseline and endpoint. Clinical symptom and side-effects will be evaluated at critical decision points (CDP) including weeks two, four, six, eight, and 12 after treatment. The primary outcome is total score and reduction rate of the 17-Hamilton Depression Rating Scale (17-HDRS). The secondary outcomes include the scores of the Quick Inventory of Depressive Symptomatology-self-report (QIDS-SR), IDS30, HAMA and the Treatment Emergent Symptom Scale (TESS). All the data will be analyzed by SAS software. DISCUSSION: The study commenced recruitment in August 2017 and is currently ongoing. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT03219008 (July 17, 2017).