Computer-Assisted Cognitive-Behavior Therapy for Depression

Wright, Jesse H.; Owen, Jesse; Richards, Derek; Eells, Tracy D.; Richardson, T.; Brown, Gregory K.; Barrett, Marna S.; Rasku, Mary Ann; Polser, Geneva; Thase, Michael E.

doi:10.4088/jcp.18r12188

Cited by 163 publications

(158 citation statements)

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“…Certain study characteristics such as guidance, user instructions, or completion requirements might influence participants’ use and responses to the programs investigated. Findings from Baumeister, Reichler, Munzinger, and Lin () suggest that program guidance has positive effects on symptom severity, rates of program completion, and the completion of modules (see Wright et al, for similar findings). Parks et al () observed different preferences in exercises depending on whether or not participants had received instructions.…”

Section: Discussionmentioning

confidence: 92%

GET.HAPPY2 – User perspectives on an internet‐based self‐management positive psychology intervention among persons with and without depression: Results from a retrospective survey

et al. 2019

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Objective: Previous research suggests that online positive psychology interventions (PPI) are frequently used by individuals with symptoms of depression. We aimed to investigate differences in the way depressed and nondepressed users react to the content of an existing online PPI, originally designed for the general public. Method:In a retrospective online survey, we assessed discontinuation parameters, aspects of satisfaction with the program, and negative reactions among users of an online PPI.Results: Bivariate and multivariate analyses showed that, overall, reactions between depressed and nondepressed individuals were similar. Differences were observed concerning reasons for using and for discontinuing the program, the perception of exercises, and negative reactions.Conclusions: Although satisfaction with the program was high, it did not seem to fully meet users' expectations and might be more difficult to complete during episodes of depression. Implications of this study for the adaptation of online PPIs addressing depressed individuals are discussed. K E Y W O R D S depression, internet intervention, positive psychology, user perspective

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Section: Discussionmentioning

confidence: 92%

GET.HAPPY2 – User perspectives on an internet‐based self‐management positive psychology intervention among persons with and without depression: Results from a retrospective survey

et al. 2019

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“…With ICBT, patients complete various web-based modules by themselves and contact their therapist to receive support. Several randomized controlled trials (RCTs) and meta-analyses have provided evidence that the effectiveness of ICBT is comparable [17][18][19][20][21] and, in case of guided ICBT, at least equivalent [22,23] to that of FCBT. By reducing therapist time per patient, ICBT has the potential to increase efficiency and reduce patient waiting times.…”

Section: Introductionmentioning

confidence: 99%

Cost–Utility of Internet-Based Cognitive Behavioral Therapy in Unipolar Depression: A Markov Model Simulation

Baumann

Stargardt

Frey

2020

Appl Health Econ Health Policy

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Background and Objective Unipolar depression is the most common form of depression and demand for treatment, such as psychotherapy, is high. However, waiting times for psychotherapy often considerably exceed their recommended maximum. As a potentially less costly alternative treatment, internet-based cognitive behavior therapy (ICBT) might help reduce waiting times. We therefore analyzed the cost-utility of ICBT compared to face-to-face CBT (FCBT) as an active control treatment, taking differences in waiting time into account. Methods We constructed a Markov model to simulate costs and health outcomes measured in quality-adjusted life years (QALYs) for ICBT and FCBT in Germany. We modeled a time horizon of 3 years using six states (remission, depressed, spontaneous remission, undergoing treatment, treatment finished, death). The societal perspective was adopted. We obtained parameters for transition probabilities, depression-specific QoL, and cost data from the literature. Deterministic and probabilistic sensitivity analyses were conducted. Within a scenario analysis, we simulated different time-to-treatment combinations. Half-cycle correction was applied. Results In our simulation, ICBT generated 0.260 QALYs and saved €2536 per patient compared to FCBT. Our deterministic sensitivity analysis suggests that the base-case results were largely unaffected by parameter uncertainty and are therefore robust. Our probabilistic sensitivity analysis suggests that ICBT is highly likely to be more effective (91.5%), less costly (76.0%), and the dominant strategy (69.7%) compared to FCBT. The scenario analysis revealed that the base-case results are robust to variations in time-to-treatment differences. Conclusion ICBT has a strong potential to balance demand and supply of CBT in unipolar depression by reducing therapist time per patient. It is highly likely to generate more QALYs and reduce health care expenditure. In addition, ICBT may have further positive external effects, such as freeing up capacities for the most severely depressed patients.

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“…The internet is not only a source of information, but it also provides a growing number of interventions to help patients cope with their liabilities [6]. Several studies show the effectiveness of self-guided, internet-based cognitive behavioural therapy in the treatment of mental disorders, especially for patients suffering from anxiety disorders and/or depression, while clinician-guided online-interventions show even better effect sizes on measures of depressive symptoms [7][8][9]. Such interventions range from preventive and informational to self-help, treatment as well as aftercare.…”

Section: Introductionmentioning

confidence: 99%

Utilization of e-mental-health and online self-management interventions of patients with mental disorders—A cross-sectional analysis

2020

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Background Web-based treatments and online self-management interventions extend the range of therapeutic supply. Since the number of online self-management interventions is steadily increasing, we aimed to examine, how web-based services currently influence mental health care, asking about previous internet use and future interests of patients with mental disorders. Methods We consulted patients (n = 400) from all services of the Department of Psychiatry and Psychotherapy of the University of Leipzig using a 28-item questionnaire. Overall, 301 questionnaires could be used for analysis. The data were analysed by means of descriptive statistics and group comparisons. Results The majority of patients (98.3%) were using the internet. Data revealed younger patients were searching for information on diseases (p < .001; M = 35.7 ±13.2), psychiatrists (p < .001; M = 34.6 ±11.6) and exchange with other patients (p < .001; M = 32 ±10.6) more often than older patients. We also found the internet was consulted more often regarding the search for information (p = .011; M = 58.3 ±10.9) and psychiatrists (p < .001; M = 35.7 ±13.2) the lower the patients' level of functioning was. While only a small proportion (10.1%) of the sample had used online self-management interventions before, there is a far greater number (46.1%) who stated an interest to use online self-management interventions in the future. This interest was greater in patients who were younger (p < .001; M = 33.8 ±13.2) had a higher education level (p = .003; university degree = 59.2%, high school degree = 52.3%; mandatory school degree: 34.8%).

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Computer-Assisted Cognitive-Behavior Therapy for Depression

Cited by 163 publications

References 0 publications

GET.HAPPY2 – User perspectives on an internet‐based self‐management positive psychology intervention among persons with and without depression: Results from a retrospective survey

GET.HAPPY2 – User perspectives on an internet‐based self‐management positive psychology intervention among persons with and without depression: Results from a retrospective survey

Cost–Utility of Internet-Based Cognitive Behavioral Therapy in Unipolar Depression: A Markov Model Simulation

Utilization of e-mental-health and online self-management interventions of patients with mental disorders—A cross-sectional analysis

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