Digital health interventions in prevention, relapse and therapy of mild and moderate depression: a scoping review (Preprint)

BACKGROUND Depression is a major cause for disability worldwide and digital health interventions are expected to be a more augmentative and effective treatment. According to the fast-growing field of information and communication technologies and its dissemination, there is a need of mapping the technological landscape, as well as its benefits for users. OBJECTIVE The purpose of this scoping review was to give an overview of the used DHI for depression. The main goal of this review was then to provide a comprehensive review of the system landscape and its technological state and functions, as well as its evidence and benefits for users. METHODS A scoping review was conducted to provide a comprehensive overview in the field of digital health interventions for the treatment of depression. PubMed, Psyndex and the Cochrane Library were searched by two independent researchers in October 2020 to identify relevant publications of the last ten years and were examined due to inclusion and exclusion criteria. For conducting the systematic review, ‘Rayyan’, a free web-tool, was used. RESULTS In total, 65 studies were included in the qualitative synthesis. After categorizing the field of application in prevention, early detection, therapy and relapse prevention, the search showed dominant numbers of studies in the field of therapy (N= 52). There was only one study for prevention, five studies for early detection and seven studies for relapse prevention. The most dominant therapy approaches were cognitive behavior therapy, acceptance and commitment therapy and problem-solving therapy. Most of the studies revealed significant effects of digital health interventions when cognitive behavior therapy applied. Cognitive behavior therapy as the most dominant form was often provided by web-based systems. Combined approaches consisting of web-based and smartphone-based approaches are constantly rising. CONCLUSIONS Digital health interventions for treating depression are quite comprehensive. There are different interventions focusing on different fields of care. While most interventions can be beneficial to achieve a better depression treatment, it can be hindering in determining which approaches are suitable. Cognitive behavior therapy that has been realized with digital health interventions has shown good effects in the treatment of depression, but treatment for depression still stays very individualistic.

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Digital health interventions in prevention, relapse and therapy of mild and moderate depression – a scoping review (Preprint)

10.2196/preprints.24833 ◽

2020 ◽

Author(s):

Pinar Tokgöz ◽

Robert Hrynyschyn ◽

Jessica Hafner ◽

Simone Schönfeld ◽

Christoph Dockweiler

Keyword(s):

Behavior Therapy ◽

Cognitive Behavior Therapy ◽

Scoping Review ◽

Relapse Prevention ◽

Digital Health ◽

Health Interventions ◽

Cognitive Behavior ◽

Comprehensive Overview ◽

Web Based ◽

Treatment Of Depression

BACKGROUND Depression is a major cause for disability worldwide and digital health interventions are expected to be a more augmentative and effective treatment. According to the fast-growing field of information and communication technologies and its dissemination, there is a need of mapping the technological landscape, as well as its benefits and challenges for users. OBJECTIVE A scoping review was conducted to provide a comprehensive overview in the field of digital health interventions for the treatment of depression. The purpose of this scoping review was to give an overview of the used DHI for depression. The main goal of this review was then to provide a comprehensive review of the system landscape and its technological state and functions, as well as its evidence and benefits for users. METHODS A scoping review was conducted to provide a comprehensive overview in the field of digital health interventions for the treatment of depression. PubMed, Psyndex, and Cochrane were searched by two independent researchers between May 2019 and April 2019 to identify relevant publications and were examined due to inclusion and exclusion criteria. For conducting the systematic review, ‘Rayyan’, a free web-tool, was used. RESULTS In total, 51 studies were included in the qualitative synthesis. After categorizing the field of application in prevention, early detection, therapy and relapse prevention, the search showed dominant numbers of studies in the field therapy (N= 42). There was only one prevention study, three studies for early detection and five studies for relapse prevention. Dominant measures of depression severity were the PHQ-9 or the BDI-II scale. The most dominant therapy approaches were cognitive behavior therapy, acceptance and commitment therapy and problem-solving therapy. Most of the studies revealed significant effects of digital health intervention when cognitive behavior therapy applied. cognitive behavior therapy as the most dominant form was often provided by web-based systems. Combined approaches consisting of web-based and smartphone-based approaches are constantly rising. CONCLUSIONS Digital health interventions for treating depression are quite comprehensive. There are different interventions focusing on different fields of care. While most applications can be beneficial to achieving a better care for depression patients, it can be hindering in determining which approaches in the depression care are suitable. Computerized CBT has shown good effects in the treatment of depression, but treatment for depression still stays very individualistic.

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Enduring Effects for Cognitive Behavior Therapy in the Treatment of Depression and Anxiety

Annual Review of Psychology ◽

10.1146/annurev.psych.57.102904.190044 ◽

2006 ◽

Vol 57 (1) ◽

pp. 285-315 ◽

Cited By ~ 254

Author(s):

Steven D. Hollon ◽

Michael O. Stewart ◽

Daniel Strunk

Keyword(s):

Behavior Therapy ◽

Cognitive Behavior Therapy ◽

Cognitive Behavior ◽

Depression And Anxiety ◽

Treatment Of Depression

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Comparison between the efficiency of pharmacotherapy and cognitive behavioral therapy in reducing captagon (fenethylline) dependence and relapse prevention

BJPsych Open ◽

10.1192/bjo.2021.454 ◽

2021 ◽

Vol 7 (S1) ◽

pp. S164-S164

Author(s):

Mohammed Binnwejim ◽

Atheer Alhumade ◽

Deiaaeldin Hosny ◽

Mohamed Alhabib

Keyword(s):

Cognitive Behavioral Therapy ◽

Behavior Therapy ◽

Cognitive Behavior Therapy ◽

Relapse Prevention ◽

Behavioral Therapy ◽

Automatic Thoughts ◽

Cognitive Behavioral ◽

Cognitive Behavior ◽

Significant Discrepancy

AimsTo examine the therapeutic efficacy and effectiveness of cognitive behavior therapy and pharmacotherapy in the treatment of Major Captagon (Fenethylline) Dependence.MethodA 41 outpatients males selected for the study, diagnosed as they are suffering from Captagon Dependence according to the DSM-5, with mean age 34.58 ± 5.11. The sample was divided into three experimental groups, (A) (N = 14) treated by cognitive behavior therapy (CBT) and pharmacotherapy in combination. (B) (N = 13) treated by CBT alone. (C) (N = 14) treated by pharmacotherapy alone. All groups were assigned to four measurements, one for the baseline before any treatment interventions, one post-treatment evaluation and two for follow-up within a short and long time. Non-parametric statistics were used to analyze the data collected by SPSS.ResultThere is no significant intra-group differences were found in terms of baseline assessment. There was no significant discrepancy between the first and the second group except in the term of reducing Captagon craving, as it was clearer in the first group in comparison with other groups. There was a clear significant discrepancy between the first and third groups, for all the study variables and it is phases of assessment especially follow-up. There was a clear degree of differences among the second and the third group, through the different phases of post-assessment, which refers to the great efficacy and effectiveness of CBT in Treating Captagon Dependence CBT was proved to be more effective than pharmacotherapy in the treatment of Captagon Dependence. The combination of CBT and pharmacotherapy was more effective than each other alone in the treatment of Captagon Dependence and Relapse Prevention.ConclusionAvailable evidence suggests that cognitive–behavioral therapy is an effective intervention method for psychological aspects of automatic thoughts, depression, negative health beliefs, craving, and relapse prevention, although its efficacy in reducing Captagon (Fenethylline) dependence.

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The Need for Web-Based Cognitive Behavior Therapy Among University Students

Internet-Delivered Therapeutic Interventions in Human Services ◽

10.4324/9781315875903-17 ◽

2014 ◽

pp. 138-149

Keyword(s):

University Students ◽

Behavior Therapy ◽

Cognitive Behavior Therapy ◽

Cognitive Behavior ◽

Web Based

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Cognitive behavior therapy and relapse prevention for depression.

Relapse prevention for depression. ◽

10.1037/12082-002 ◽

2010 ◽

pp. 53-76 ◽

Cited By ~ 1

Author(s):

Claudi L. H. Bockting ◽

Philip Spinhoven ◽

Marcus Huibers

Keyword(s):

Behavior Therapy ◽

Cognitive Behavior Therapy ◽

Relapse Prevention ◽

Cognitive Behavior

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

Behavior Research Methods ◽

10.3758/bf03202150 ◽

1982 ◽

Vol 14 (2) ◽

pp. 181-185 ◽

Cited By ~ 46

Author(s):

Paulette M. Selmi ◽

Mabjorie H. Klein ◽

John H. Greist ◽

James H. Johnson ◽

William G. Harris

Keyword(s):

Behavior Therapy ◽

Cognitive Behavior Therapy ◽

Computer Assisted ◽

Cognitive Behavior ◽

Treatment Of Depression

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Social Cognitive Theories and Electronic Health Design: Scoping Review (Preprint)

10.2196/preprints.11544 ◽

2018 ◽

Author(s):

Patricia Grace-Farfaglia

Keyword(s):

Scoping Review ◽

Social Cognitive ◽

Digital Health ◽

Health Intervention ◽

Health Interventions ◽

Design Features ◽

Social Design ◽

Web Based ◽

Cognitive Theories ◽

Social Cognitive Theories

BACKGROUND There are several social cognitive theories (SCTs) and models that support platform design in electronic health (eHealth) promotion trials. The rationale for this scoping review was to determine how social design features (informational aid, expressive support, gaming, and tailored content) are used to promote self-efficacy, engagement, knowledge, and behavior change. OBJECTIVE This study aimed to review a broad spectrum of digital health interventions in the literature seeking trials that use SCTs for the design of eHealth applications. METHODS The author conducted a systematic scoping review of 161 Web-based health interventions from published randomized clinical trials using 1 or more tools to address the social cognitive determinants in their website design from January 2006 to April 2016. An iterative approach was used in the selection of studies and data extraction. The studies were analyzed for quality and coded for type of social design features employed. RESULTS Expressive interaction tools were found in 48.6% (54/111) of studies categorized as a strong recommendation by the Joanna Briggs Institute criteria. Overall, less than half of the studies addressed participant social support and motivational needs (43.8%). The vast majority of studies (100%) relied on the use of the Web for delivery of informational aid and tailored content for the individual participant (75.9%). CONCLUSIONS This review fills a research gap by linking social theory to Web strategy to improve the impact and sustainability of eHealth interventions. A Digital Health Intervention Model was developed to provide a framework to enhance future Web-based health intervention design and execution.

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