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      Internet interventions: Past, present and future

      research-article
      *
      Internet Interventions
      Elsevier
      Internet treatment, Therapist guidance, Anxiety, Mood disorders, Somatic disorders

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          Abstract

          Internet interventions have been around now for about 20 years. While the field still suffers from a scattered terminology a large number of programs and studies exist. In the present paper I present an overview of my experiences of studying internet-supported cognitive-behaviour therapy (ICBT), but also mention other approaches including the use of smartphones. The paper covers the history of ICBT, short-term effects in controlled trials for a range of conditions, long-term effects, comparisons against face-to-face therapy, effectiveness studies, prediction studies, how the treatment is perceived, critique, and finally future directions. I conclude that we have now reached a stage in which we have numerous evidence-based treatments and procedures, and increasingly internet interventions including ICBT are disseminated.

          Highlights

          • The outcome of internet-delivered treatments is promising.

          • This paper is a personal reflection and review of the field that is now 20 years old.

          • Internet interventions work for many conditions, have long-term effects and can be as effective as face-to-face therapy.

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          Most cited references104

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          Advantages and limitations of Internet-based interventions for common mental disorders.

          Several Internet interventions have been developed and tested for common mental disorders, and the evidence to date shows that these treatments often result in similar outcomes as in face-to-face psychotherapy and that they are cost-effective. In this paper, we first review the pros and cons of how participants in Internet treatment trials have been recruited. We then comment on the assessment procedures often involved in Internet interventions and conclude that, while online questionnaires yield robust results, diagnoses cannot be determined without any contact with the patient. We then review the role of the therapist and conclude that, although treatments including guidance seem to lead to better outcomes than unguided treatments, this guidance can be mainly practical and supportive rather than explicitly therapeutic in orientation. Then we briefly describe the advantages and disadvantages of treatments for mood and anxiety disorders and comment on ways to handle comorbidity often associated with these disorders. Finally we discuss challenges when disseminating Internet interventions. In conclusion, there is now a large body of evidence suggesting that Internet interventions work. Several research questions remain open, including how Internet interventions can be blended with traditional forms of care. Copyright © 2014 World Psychiatric Association.
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            Efficacy of Self-guided Internet-Based Cognitive Behavioral Therapy in the Treatment of Depressive Symptoms: A Meta-analysis of Individual Participant Data.

            Self-guided internet-based cognitive behavioral therapy (iCBT) has the potential to increase access and availability of evidence-based therapy and reduce the cost of depression treatment.
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              Personal Sensing: Understanding Mental Health Using Ubiquitous Sensors and Machine Learning.

              Sensors in everyday devices, such as our phones, wearables, and computers, leave a stream of digital traces. Personal sensing refers to collecting and analyzing data from sensors embedded in the context of daily life with the aim of identifying human behaviors, thoughts, feelings, and traits. This article provides a critical review of personal sensing research related to mental health, focused principally on smartphones, but also including studies of wearables, social media, and computers. We provide a layered, hierarchical model for translating raw sensor data into markers of behaviors and states related to mental health. Also discussed are research methods as well as challenges, including privacy and problems of dimensionality. Although personal sensing is still in its infancy, it holds great promise as a method for conducting mental health research and as a clinical tool for monitoring at-risk populations and providing the foundation for the next generation of mobile health (or mHealth) interventions.
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                Author and article information

                Contributors
                Journal
                Internet Interv
                Internet Interv
                Internet Interventions
                Elsevier
                2214-7829
                06 April 2018
                June 2018
                06 April 2018
                : 12
                : 181-188
                Affiliations
                Department of Behavioural Sciences and Learning, Linköping University, Campus Valla, SE-581 83 Linköping, Sweden
                Department of Clinical Neuroscience, Psychiatry Section, Karolinska Institute, Stockholm, Sweden
                Author notes
                [* ]Department of Behavioural Sciences and Learning, Linköping University, Campus Valla, SE-581 83 Linköping, Sweden. gerhard.andersson@ 123456liu.se
                Article
                S2214-7829(18)30015-0
                10.1016/j.invent.2018.03.008
                6096319
                30135782
                932799dd-faf6-4753-8a8b-6d8699a9c455
                © 2018 The Author

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 2 March 2018
                : 30 March 2018
                : 30 March 2018
                Categories
                Special issue for the ISRII 2017 meeting

                internet treatment,therapist guidance,anxiety,mood disorders,somatic disorders

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