Computer-assisted Cognitive-behavior Therapy Research Articles

Innovative strategies for the management of common mental disorders

Abstract Innovations such as computerized/internet-based interventions are taking centre stage in the management of common mental disorders. For example, computer-assisted cognitive behavior therapy (CCBT) has been proposed as a method for improving access to effective psychotherapy, reducing cost, and increasing the convenience and efficiency of treatment for depression. Results from our own research suggest that CCBT may have significantly greater effects on depressive symptoms than treatment as usual (TAU) in primary care patients with depression. Our study population included people with lower income and lack of internet access who typically have been underrepresented or not included in earlier investigations of CCBT; hence, results suggest that this form of treatment can be acceptable and useful in diverse primary care settings.

Computer-Assisted CBT May Help Alleviate Depression

Computer-Assisted CBT May Help Alleviate Depression

Effect of Computer-Assisted Cognitive Behavior Therapy vs Usual Care on Depression Among Adults in Primary Care

Depression is a common disorder that may go untreated or receive suboptimal care in primary care settings. Computer-assisted cognitive behavior therapy (CCBT) has been proposed as a method for improving access to effective psychotherapy, reducing cost, and increasing the convenience and efficiency of treatment for depression. To evaluate whether clinician-supported CCBT is more effective than treatment as usual (TAU) in primary care patients with depression and to examine the feasibility and implementation of CCBT in a primary care population with substantial numbers of patients with low income, limited internet access, and low levels of educational attainment. This randomized clinical trial included adult primary care patients from clinical practices at the University of Louisville who scored 10 or greater on the Patient Health Questionnaire-9 (PHQ-9) and were randomly assigned to CCBT or TAU for 12 weeks of active treatment. Follow-up assessments were conducted 3 and 6 months after treatment completion. Enrollment occurred from June 24, 2016, to May 13, 2019. The last follow-up assessment was conducted on January 30, 2020. CCBT included use of the 9-lesson computer program Good Days Ahead, along with as many as 12 weekly telephonic support sessions of approximately 20 minutes with a master's level therapist, in addition to TAU, which consisted of the standard clinical management procedures at the primary care sites. TAU was uncontrolled, but use of antidepressants and psychotherapy other than CCBT was recorded. The primary outcome measure (PHQ-9) and secondary outcome measures (Automatic Thoughts Questionnaire for negative cognitions, Generalized Anxiety Disorder-7, and the Satisfaction with Life Scale for quality of life) were administered at baseline, 12 weeks, and 3 and 6 months after treatment completion. Satisfaction with treatment was assessed with the Client Satisfaction Questionnaire-8. The sample of 175 patients was predominately female (147 of 174 [84.5%]) and had a high proportion of individuals who identified as racial and ethnic minority groups (African American, 44 of 162 patients who reported [27.2%]; American Indian or Alaska Native, 2 [1.2%]; Hispanic, 4 [2.5%]; multiracial, 14 [8.6%]). An annual income of less than $30 000 was reported by 88 of 143 patients (61.5%). Overall, 95 patients (54.3%) were randomly assigned to CCBT and 80 (45.7%) to TAU. Dropout rates were 22.1% for CCBT (21 patients) and 30.0% for TAU (24 patients). An intent-to-treat analysis found that CCBT led to significantly greater improvement in PHQ-9 scores than TAU at posttreatment (mean difference, -2.5; 95% CI, -4.5 to -0.8; P = .005) and 3 month (mean difference, -2.3; 95% CI, -4.5 to -0.8; P = .006) and 6 month (mean difference, -3.2; 95% CI, -4.5 to -0.8; P = .007) follow-up points. Posttreatment response and remission rates were also significantly higher for CCBT (response, 58.4% [95% CI, 46.4-70.4%]; remission, 27.3% [95% CI, 16.4%-38.2%]) than TAU (response, 33.1% [95% CI, 20.7%-45.5%]; remission, 12.0% [95% CI, 3.3%- 20.7%]). In this randomized clinical trial, CCBT was found to have significantly greater effects on depressive symptoms than TAU in primary care patients with depression. Because the study population included people with lower income and lack of internet access who typically have been underrepresented or not included in earlier investigations of CCBT, results suggest that this form of treatment can be acceptable and useful in diverse primary care settings. Additional studies with larger samples are needed to address implementation procedures that could enhance the effectiveness of CCBT and to examine potential factors associated with treatment outcome. ClinicalTrials.gov Identifier: NCT02700009.

The Neglected Role of Psychotherapy for Treatment-Resistant Depression.

The Neglected Role of Psychotherapy for Treatment-Resistant Depression.

Efficacy of a computer-assisted cognitive-behavior therapy program for treating youth with anxiety and co-occurring autism spectrum disorder: Camp Cope-A-Lot

BackgroundIn a crossover design the current study describes the efficacy of a computer-assisted intervention program for youth with autism spectrum disorder (ASD) who also experience co-occurring anxiety. MethodsThe computer-assisted cognitive behavior therapy (CBT) program for treating anxiety, Camp Cope-A-Lot (CCAL) was compared to control intervention, another computer-assisted program, The Social Express (TSE), that does not employ CBT nor is targeted for the treatment of anxiety. TSE is designed to improve social skills in youth with ASD. Participants had a principal anxiety disorder and a current diagnosis of ASD. Participants received 12-sessions of CCAL or 12-sessions of TSE. Outcome measures were obtained at intake, upon completion of the first intervention of the trial and upon completion of the second intervention of the trial. ResultsCCAL was efficacious for treating anxiety. Participants who completed CCAL demonstrated significant and clinical reductions in anxiety when compared to participants who completed TSE. Both interventions, CCAL and TSE, resulted in some limited improvement in social skills. ConclusionsThe current study showed that anxiety symptoms in youth with ASD and co-occurring anxiety disorders can benefit from computer-assisted CBT employing CCAL. This expands previous literature employing computer-assisted CBT interventions in youth, and more specifically, youth with ASD.

Computer-Assisted Cognitive-Behavior Therapy and Mobile Apps for Depression and Anxiety.

We reviewed research on computer-assisted cognitive-behavior therapy (CCBT) and mobile applications with the goals of assessing the effectiveness of these newer methods of delivering or augmenting treatment and making recommendations on the clinical use of computer tools in psychotherapy of depression and anxiety. Research on CCBT has found solid evidence for efficacy when the use of a therapeutic computer program is supported by a clinician or other helping professionals. Lower levels of efficacy or ineffectiveness typically have been found when computer programs are used as stand-alone treatments. A large number of mobile apps have been created that claim to be useful for depression and/or anxiety. However, considerable caution is warranted in evaluating mobile apps and recommending them to patients. Research on mobile apps is still in an early stage of development. A number of well-established CCBT programs have been studied in multiple randomized, controlled trials and have been found to be effective. Such programs appear to have adequate quality, security, and efficacy to be used in clinical practice. Mobile apps offer easy portability and immediate access to coping strategies and may be useful for augmenting treatment. But clinicians need to select apps with integrity and reliable content for clinical use.

Computer-Assisted Cognitive-Behavior Therapy for Depression: A Systematic Review and Meta-Analysis.

To evaluate the efficacy of computer-assisted forms of cognitive-behavior therapy for major depressive disorder (MDD) and examine the role of clinician support and other factors that might affect outcomes. Ovid MEDLINE, PsycINFO, PubMed, and Scopus from their beginnings to July 18, 2016. Keywords were "randomized, controlled trials of computer-assisted cognitive-behavior therapy for depression" and "randomized, controlled trials of mobile apps for cognitive-behavior therapy of depression." Of 223 studies identified in the search, 183 were excluded yielding a sample of 40 randomized, controlled investigations of computer-assisted cognitive-behavior therapy (CCBT) for depression. Data were abstracted independently by two authors, and consensus was reached by discussion with a third author. The overall mean effect size for CCBT compared to control conditions was g = 0.502, a moderately large effect. Studies that provided support from a clinician or other person yielded significantly larger effects (g = 0.673) than studies in which no support was provided (g = 0.239). Completion rate and study setting also influenced outcomes. Lower mean effect sizes were observed in studies with lower completion rates and in studies conducted in primary care practices. CCBT with a modest amount of support from a clinician or other helping person was found to be efficacious with relatively large mean effect sizes on measures of depressive symptoms. Self-guided CCBT for depression was considerably less effective. Future research should focus on enhancing the implementation of CCBT, including evaluating the amount and type of support needed for effective delivery, methods to improve engagement with computer-assisted therapies, and ways to improve treatment outcome in primary care settings.

Dissemination of computer-assisted cognitive-behavior therapy for depression in primary care

Computer-assisted cognitive-behavior therapy (CCBT) for depression in primary care will be evaluated in a trial with 240 patients randomly assigned to CCBT or treatment as usual (TAU). The study will disseminate a therapy method found to be effective in psychiatric settings into primary care – a setting in which there have been significant problems in the delivery of adequate, evidence-based treatment for depression. The study will include a high percentage of disadvantaged (low-income) patients – a population that has been largely ignored in previous research in CCBT. There have been no previous studies of CCBT for depression in primary care that have enrolled large numbers of disadvantaged patients. The form of CCBT used in this study is designed to increase access to effective therapy, provide a cost-effective method, and be a sustainable model for wide-spread use in primary care. In order to deliver therapy in a practical manner that can be replicated in other primary care practices, patients with significant symptoms of depression will receive treatment with an empirically supported computer program that builds cognitive-behavior therapy skills. Support for CCBT will be provided by telephone and/or e-mail contact with a care coordinator (CC) instead of face-to-face treatment with a cognitive-behavior therapist. Outcome will be assessed by measuring CCBT completion rate, comprehension of CBT concepts, and satisfaction with treatment, in addition to ratings of depressive symptoms, negative thoughts, and quality of life. The cost-effectiveness analysis and exploration of possible predictors of outcome should help clinicians, health care organizations, and others plan further dissemination of CCBT in primary care.

Computer-Assisted Cognitive-Behavior Therapy in Medical Care Settings.

We reviewed research on computer-assisted cognitive-behavior therapy (CCBT) performed in medical settings with the goals of assessing the effectiveness of this newer method of treatment delivery, evaluating the need for clinician support of therapeutic computer programs, and making suggestions for future research and clinical implementation. The overall results of randomized, controlled trials suggest that CCBT can be an effective treatment for depression in primary care patients and health care anxiety. Also, it can be a useful component of treatment for somatic conditions including irritable bowel syndrome, diabetes, fibromyalgia, and chronic pain. The amount and type of clinician support needed for maximizing effectiveness remains unclear. CCBT offers promise for overcoming barriers to delivering effective psychotherapy in medical settings. We recommend that next steps for researchers include more definitive studies of the influence of clinician support, investigations focused on implementation in clinical practices, cost-benefit analyses, and use of technological advances.

Computer-Assisted Cognitive-Behavior Therapy for Depression in Primary Care: Systematic Review and Meta-Analysis.

To examine evidence for the effectiveness of computer-assisted cognitive-behavior therapy (CCBT) for depression in primary care and assess the impact of therapist-supported CCBT versus self-guided CCBT. A search for randomized studies of CCBT compared to control groups for treating depression in primary care settings was conducted using Ovid MEDLINE, PsycINFO, PubMed, and Scopus. We extracted the following information from the studies that met inclusion criteria: mean depression rating scale scores before and after treatment, number of patients, type of control group and CCBT program, therapist support time and method of support, and treatment completion rate. Meta-analyses compared differences between posttreatment mean scores in each condition, as well as mean scores at follow-up. Study quality and possible bias also were assessed. Eight studies of CCBT for depression in primary care met inclusion criteria. The overall effect size was g = 0.258, indicating a small but significant advantage for CCBT over control conditions. Therapist support was provided in 4 of the 8 studies. The effect size for therapist-supported CCBT was g = 0.372-a moderate effect. However, the effect size for self-guided CCBT was g = 0.038, indicating little effect. Implementation of therapist-supported CCBT in primary care settings could enhance treatment efficiency, reduce cost, and improve access to effective treatment for depression. However, evidence to date suggests that self-guided CCBT offers no benefits over usual primary care.

Computer-Assisted Cognitive Behavior Therapy to Prevent Relapse Following Electroconvulsive Therapy.

The goal of this study was to explore the feasibility and potential efficacy of providing computer-assisted cognitive behavior therapy (CCBT) after an index course of electroconvulsive therapy (ECT) to prevent relapse. In an open-label trial, subjects with major depressive episode who achieved response or remission after an acute treatment with ECT were recruited to enroll in a 9-module CCBT course. Subjects completed the CCBT modules in their own home at their own pace, but were asked to do at least 1 lesson per week, such that all 9 lessons would be completed in the first 2 months. Depression severity and relapse were monitored during the 6 months after ECT. Fifteen subjects (10 responders and 5 remitters) enrolled in the study and logged onto the CCBT course. The mean (SD) number of online lessons completed was 7.6 (1.7) or 84% of the total lessons and the mean (SD) time spent working online was 8.4 (3.9) hours. During the first 2 months (the prescribed time period), the mean (SD) number of lessons completed was 6.5 (1.8), or 72% and the mean (SD) time spent working online was 6.8 (3.2) hours. Of the entire sample of responders and remitters (n = 15), 5 (33%) relapsed at 6 months. Of the 5 remitters, none relapsed during this time period. Our results provide preliminary evidence that CCBT is feasible following ECT. Large controlled trials are needed to definitively assess whether this strategy is efficacious in preventing relapse.

Computer-assisted cognitive behavior therapy to prevent relapse following electroconvulsive therapy

Computer-assisted cognitive behavior therapy to prevent relapse following electroconvulsive therapy

Computer-assisted cognitive behavior therapy for obsessive-compulsive disorder: a randomized trial on the impact of lay vs. professional coaching.

BackgroundThe purpose of the study was to examine the impact of computerized cognitive behavior therapy (CBT) self-help treatment for obsessive-compulsive disorder (OCD) (BT Steps) both alone and when supported by coaching from either a lay non-therapist coach or an experienced CBT therapist.MethodsEighty-seven subjects with clinically significant OCD were recruited through newspaper ads and randomly assigned to receive 12 weeks of treatment with either BT Steps alone (n = 28), BT Steps with non-therapist coaching (n = 28), or BT Steps with CBT therapist coaching (n = 31). Subjects worked on BT Steps at their own pace. Subjects receiving BT Steps alone received a welcome call from the project manager. Subjects randomized to either of the coaching arms received regularly scheduled weekly phone calls for coaching, encouragement, and support. No formal therapy was provided by the coaches; thus, both lay and CBT coaches completed the same tasks.ResultsAll three treatment arms showed a significant reduction in Yale-Brown Obsessive Compulsive Scale (YBOCS) scores, with mean (SD) changes of 6.5 (5.7), 7.1 (6.1), and 6.5 (6.1) for the no coaching, lay coaching, and therapist coaching arms, respectively (all p’s < .001). These represent effect sizes of 1.16, 1.41, and 1.12, respectively. No significant differences were found between treatment arms on YBOCS change scores, F(2) = 0.10, p = .904, or number of exposures sessions done (F(2) = 0.033, p = .967). When asked which method of therapy (computer vs. clinician) they preferred, 48% said computer, 33% said face-to-face therapy, and 19% had no preference.ConclusionsResults support the use of online self-help for the treatment of moderate OCD. The addition of coaching by either a lay coach or a CBT therapist coach did not significantly improve outcomes.

Computer-assisted cognitive behavioral therapy for pregnant women with major depressive disorder.

Pregnant women with major depressive disorder (MDD) report that psychotherapy is a more acceptable treatment than pharmacotherapy. However, although results of several studies suggest that psychotherapy is an effective treatment for pregnant women, logistical barriers-including cost and traveling for weekly visits-can limit real-world utility. We hypothesized that computer-assisted cognitive behavior therapy (CCBT) would be both acceptable and would significantly decrease depressive symptoms in pregnant women with MDD. As a preliminary test of this hypothesis, we treated 10 pregnant women with MDD using a standardized CCBT protocol. The pilot results were very promising, with 80% of participants showing treatment response and 60% showing remission after only eight sessions of CCBT. A larger, randomized controlled trial of CCBT in pregnant women with MDD is warranted.

Computer-assisted cognitive–behavior therapy for depression.

This article reviews the use of computer technology in treating depression as a substitute or adjunct for standard therapy. It discusses advantages and disadvantages of introducing computer technology as a treatment option, problems and barriers to expanded use, the varieties of computer-assisted psychotherapy for major depression, and relevant research. Three specific Internet-based programs are described, assessed and compared: Good Days Ahead, Beating the Blues, and MoodGYM. The authors conclude that these and similar programs are promising. Preliminary outcome studies suggest that these programs produce outcome similar to standard therapy, although methodological shortcomings limit confidence in these findings. Suggestions are offered for practitioners considering the addition of computer assistance to their treatment of depression.

Cognitive Behavior Therapy: Basic Principles and Recent Advances

Cognitive behavior therapy (CBT) is a pragmatic, action-oriented treatment approach that has become a widely used psychotherapy for major mental disorders. CBT methods were initially developed for depression and anxiety disorders (1–3), and later they were modified for many other conditions, including personality disorders, eating disorders, and substance abuse; they have also been adapted for use as an adjunct to medication in the management of schizophrenia and bipolar disorder (3, 4–7). This article delineates the core principles of CBT, describes procedures used in clinical practice, and notes some of the recent advances that have been made in this treatment method. The extensive research supporting the efficacy of CBT is briefly reviewed.

An investigation of computer-assisted cognitive-behavior therapy in the treatment of depression

Increasing demands are being placed on a limited pool of mental health professionals to deliver a steadily growing array of effective treatments in an efficient and acceptable manner. The integration of behavioral technology and computing technology may provide a possible solution to the problem of resource limitations. An interactive computer-assisted program for the treatment of mild to moderate unipolar and dysthymic depressive disorders is described. The effectiveness of this treatment will be empirically examined.