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      Internet-Delivered Health Interventions That Work: Systematic Review of Meta-Analyses and Evaluation of Website Availability

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          Abstract

          Background

          Due to easy access and low cost, Internet-delivered therapies offer an attractive alternative to improving health. Although numerous websites contain health-related information, finding evidence-based programs (as demonstrated through randomized controlled trials, RCTs) can be challenging. We sought to bridge the divide between the knowledge gained from RCTs and communication of the results by conducting a global systematic review and analyzing the availability of evidence-based Internet health programs.

          Objectives

          The study aimed to (1) discover the range of health-related topics that are addressed through Internet-delivered interventions, (2) generate a list of current websites used in the trials which demonstrate a health benefit, and (3) identify gaps in the research that may have hindered dissemination. Our focus was on Internet-delivered self-guided health interventions that did not require real-time clinical support.

          Methods

          A systematic review of meta-analyses was conducted using Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines (PROSPERO Registration Number CRD42016041258). MEDLINE via Ovid, PsycINFO, Embase, Cochrane Database of Systematic Reviews, and the Cumulative Index to Nursing and Allied Health Literature (CINAHL) were searched. Inclusion criteria included (1) meta-analyses of RCTs, (2) at least one Internet-delivered intervention that measured a health-related outcome, and (3) use of at least one self-guided intervention. We excluded group-based therapies. There were no language restrictions.

          Results

          Of the 363 records identified through the search, 71 meta-analyses met inclusion criteria. Within the 71 meta-analyses, there were 1733 studies that contained 268 unique RCTs which tested self-help interventions. On review of the 268 studies, 21.3% (57/268) had functional websites. These included evidence-based Web programs on substance abuse (alcohol, tobacco, cannabis), mental health (depression, anxiety, post-traumatic stress disorder [PTSD], phobias, panic disorders, obsessive compulsive disorder [OCD]), and on diet and physical activity. There were also evidence-based programs on insomnia, chronic pain, cardiovascular risk, and childhood health problems. These programs tended to be intensive, requiring weeks to months of engagement by the user, often including interaction, personalized and normative feedback, and self-monitoring. English was the most common language, although some were available in Spanish, French, Portuguese, Dutch, German, Norwegian, Finnish, Swedish, and Mandarin. There were several interventions with numbers needed to treat of <5; these included painACTION, Mental Health Online for panic disorders, Deprexis, Triple P Online (TPOL), and U Can POOP Too. Hyperlinks of the sites have been listed.

          Conclusions

          A wide range of evidence-based Internet programs are currently available for health-related behaviors, as well as disease prevention and treatment. However, the majority of Internet-delivered health interventions found to be efficacious in RCTs do not have websites for general use. Increased efforts to provide mechanisms to host “interventions that work” on the Web and to assist the public in locating these sites are necessary.

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          Most cited references114

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          Effectiveness of online mindfulness-based interventions in improving mental health: A review and meta-analysis of randomised controlled trials.

          Mindfulness-based interventions (MBIs) are increasingly being delivered through the Internet. Whereas numerous meta-analyses have investigated the effectiveness of face-to-face MBIs in the context of mental health and well-being, thus far a quantitative synthesis of the effectiveness of online MBIs is lacking. The aim of this meta-analysis was to estimate the overall effects of online MBIs on mental health. Fifteen randomised controlled trials were included in this study. A random effects model was used to compute pre-post between-group effect sizes, and the study quality of each of the included trials was rated. Results showed that online MBIs have a small but significant beneficial impact on depression (g=0.29), anxiety (g=0.22), well-being (g=0.23) and mindfulness (g=0.32). The largest effect was found for stress, with a moderate effect size (g=0.51). For stress and mindfulness, exploratory subgroup analyses demonstrated significantly higher effect sizes for guided online MBIs than for unguided online MBIs. In addition, meta-regression analysis showed that effect sizes for stress were significantly moderated by the number of intervention sessions. Effect sizes, however, were not significantly related to study quality. The findings indicate that online MBIs have potential to contribute to improving mental health outcomes, particularly stress. Limitations, directions for future research and practical implications are discussed.
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            Cognitive behavior therapy via the Internet: a systematic review of applications, clinical efficacy and cost-effectiveness.

            Internet-based cognitive behavior therapy (ICBT) is a promising treatment that may increase availability of cognitive behavior therapy (CBT) for psychiatric disorders and other clinical problems. The main objective of this study was to determine the applications, clinical efficacy and cost-effectiveness of ICBT. The authors conducted a systematic review to identify randomized controlled trials investigating CBT delivered via the internet for adult patient populations. Searches to identify studies investigating cost-effectiveness of ICBT were also conducted. Evidence status for each clinical application was determined using the American Psychologist Association criteria for empirically supported treatments. Of 1104 studies reviewed, 108 met criteria for inclusion, of which 103 reported on clinical efficacy and eight on cost-effectiveness. Results showed that ICBT has been tested for 25 different clinical disorders, whereas most randomized controlled trials have been aimed at depression, anxiety disorders and chronic pain. Internet-based treatments for depression, social phobia and panic disorder were classified as well-established, that is, meeting the highest level of criteria for evidence. Effect sizes were large in the treatment of depression, anxiety disorders, severe health anxiety, irritable bowel syndrome, female sexual dysfunction, eating disorders, cannabis use and pathological gambling. For other clinical problems, effect sizes were small to moderate. Comparison to conventional CBT showed that ICBT produces equivalent effects. Cost-effectiveness data were relatively scarce but suggested that ICBT has more than 50% probability of being cost effective compared with no treatment or to conventional CBT when willingness to pay for an additional improvement is zero. Although ICBT is a promising treatment option for several disorders, it can only be regarded as a well-established treatment for depression, panic disorder and social phobia. It seems that ICBT is as effective as conventional CBT for respective clinical disorder, that is, if conventional CBT works then ICBT works. The large effects and the limited therapist time required suggest that the treatment is highly cost effective for well-established indications.
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              Brain-computer interface technology: a review of the first international meeting

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                Author and article information

                Contributors
                Journal
                J Med Internet Res
                J. Med. Internet Res
                JMIR
                Journal of Medical Internet Research
                JMIR Publications (Toronto, Canada )
                1439-4456
                1438-8871
                March 2017
                24 March 2017
                : 19
                : 3
                : e90
                Affiliations
                [1] 1Department of Internal Medicine University of Michigan Ann Arbor, MIUnited States
                Author notes
                Corresponding Author: Mary AM Rogers maryroge@ 123456umich.edu
                Author information
                http://orcid.org/0000-0001-5519-3223
                http://orcid.org/0000-0002-3098-1933
                http://orcid.org/0000-0002-9479-1653
                http://orcid.org/0000-0001-7245-5918
                http://orcid.org/0000-0001-8670-9376
                Article
                v19i3e90
                10.2196/jmir.7111
                5384996
                28341617
                e72e4ac0-c683-4a49-a249-7f1227b3a08d
                ©Mary AM Rogers, Kelsey Lemmen, Rachel Kramer, Jason Mann, Vineet Chopra. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 24.03.2017.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included.

                History
                : 6 December 2016
                : 14 January 2017
                : 23 January 2017
                : 25 February 2017
                Categories
                Original Paper
                Original Paper

                Medicine
                internet,public health,randomized controlled trial,computer-assisted therapy,global health

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