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      eHealth interventions for the prevention of depression and anxiety in the general population: a systematic review and meta-analysis

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          Abstract

          Background

          Anxiety and depression are associated with a range of adverse outcomes and represent a large global burden to individuals and health care systems. Prevention programs are an important way to avert a proportion of the burden associated with such conditions both at a clinical and subclinical level. eHealth interventions provide an opportunity to offer accessible, acceptable, easily disseminated globally low-cost interventions on a wide scale. However, the efficacy of these programs remains unclear. The aim of this study is to review and evaluate the effects of eHealth prevention interventions for anxiety and depression.

          Method

          A systematic search was conducted on four relevant databases to identify randomized controlled trials of eHealth interventions aimed at the prevention of anxiety and depression in the general population published between 2000 and January 2016. The quality of studies was assessed and a meta-analysis was performed using pooled effect size estimates obtained from a random effects model.

          Results

          Ten trials were included in the systematic review and meta-analysis. All studies were of sufficient quality and utilized cognitive behavioural techniques. At post-treatment, the overall mean difference between the intervention and control groups was 0.25 (95% confidence internal: 0.09, 0.41; p = 0.003) for depression outcome studies and 0.31 (95% CI: 0.10, 0.52; p = 0.004) for anxiety outcome studies, indicating a small but positive effect of the eHealth interventions. The effect sizes for universal and indicated/selective interventions were similar (0.29 and 0.25 respectively). However, there was inadequate evidence to suggest that such interventions have an effect on long-term disorder incidence rates.

          Conclusions

          Evidence suggests that eHealth prevention interventions for anxiety and depression are associated with small but positive effects on symptom reduction. However, there is inadequate evidence on the medium to long-term effect of such interventions, and importantly, on the reduction of incidence of disorders. Further work to explore the impact of eHealth psychological interventions on long-term incidence rates.

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          Most cited references52

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          Experimental evidence of massive-scale emotional contagion through social networks.

          Emotional states can be transferred to others via emotional contagion, leading people to experience the same emotions without their awareness. Emotional contagion is well established in laboratory experiments, with people transferring positive and negative emotions to others. Data from a large real-world social network, collected over a 20-y period suggests that longer-lasting moods (e.g., depression, happiness) can be transferred through networks [Fowler JH, Christakis NA (2008) BMJ 337:a2338], although the results are controversial. In an experiment with people who use Facebook, we test whether emotional contagion occurs outside of in-person interaction between individuals by reducing the amount of emotional content in the News Feed. When positive expressions were reduced, people produced fewer positive posts and more negative posts; when negative expressions were reduced, the opposite pattern occurred. These results indicate that emotions expressed by others on Facebook influence our own emotions, constituting experimental evidence for massive-scale contagion via social networks. This work also suggests that, in contrast to prevailing assumptions, in-person interaction and nonverbal cues are not strictly necessary for emotional contagion, and that the observation of others' positive experiences constitutes a positive experience for people.
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            Subthreshold depression in adolescence and mental health outcomes in adulthood.

            There is increasing interest in the extent to which individuals with subthreshold depression face increased risks of subsequent major depression and other disorders. To examine linkages between the extent of depressive symptoms (asymptomatic, subthreshold, major depression) at ages 17 to 18 years and mental health outcomes up to age 25 years in a New Zealand birth cohort. Data were gathered during the Christchurch Health and Development Study, a 25-year longitudinal study of a birth cohort of 1265 New Zealand children (635 males, 630 females). General community sample. The analysis was based on 1006 participants who represented 80% of the original cohort. Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition symptom criteria for major depression and anxiety disorder, treatment-seeking, suicidal ideation, and suicide attempt. There were significant associations (P<.01) between the extent of depression at ages 17 to 18 years and rates of subsequent depressive symptoms, major depression, treatment for depression, anxiety disorder, treatment for anxiety disorder, suicidal ideation, and suicide attempts. After adjustment for covariate factors, the extent of depression at ages 17 to 18 years remained associated with later depression and suicidal tendencies. Planned comparisons showed that sample members with subthreshold depression had a similar prognosis to those meeting criteria for major depression. Findings suggest that sample members with subthreshold depression are a group with elevated risks of later depression and suicidal behaviors. Current diagnostic procedures, which classify people with subthreshold depression into complex discrete groups, might obscure the fact that depressive symptoms are dimensional and range from none to severe.
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              Excess mortality in depression: a meta-analysis of community studies.

              Although most studies examining the relationship between depression and mortality indicate that there is excess mortality in depressed subjects, this is not confirmed in all studies. Furthermore, it has been hypothesized that mortality rates in depressed men are higher than in depressed women. Finally, it is not clear if the increased mortality rates exist only in major depression or also in subclinical depression. A meta-analysis was conducted to examine these questions. A total of 25 studies with 106,628 subjects, of whom 6416 were depressed, were examined. Both univariate and multivariate analyses were conducted. The overall relative risk (RR) of dying in depressed subjects was 1.81 (95% CI: 1.58-2.07) compared to non-depressed subjects. No major differences were found between men and women, although the RR was somewhat larger in men. The RR in subclinical depression was no smaller than the RR in clinical depression. Only RRs of mortality were examined, which were not corrected for important confounding variables, such as chronic illnesses, or life-style. In the selected studies important differences existed between study characteristics and populations. The number of comparisons was relatively small. There is an increased risk of mortality in depression. An important finding of this study is that the increased risk not only exists in major depression, but also in subclinical forms of depression. In many cases, depression should be considered as a life-threatening disorder.
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                Author and article information

                Contributors
                m.deady@unsw.edu.au
                isabella.choi@sydney.edu.au
                Rafael.Calvo@sydney.edu.au
                nick.glozier@sydney.edu.au
                h.christensen@blackdog.org.au
                s.harvey@unsw.edu.au
                Journal
                BMC Psychiatry
                BMC Psychiatry
                BMC Psychiatry
                BioMed Central (London )
                1471-244X
                29 August 2017
                29 August 2017
                2017
                : 17
                : 310
                Affiliations
                [1 ]ISNI 0000 0004 4902 0432, GRID grid.1005.4, School of Psychiatry, University of New South Wales, ; Sydney, NSW 2052 Australia
                [2 ]ISNI 0000 0004 1936 834X, GRID grid.1013.3, Brain and Mind Centre, , University of Sydney, ; Camperdown, NSW 2050 Australia
                [3 ]ISNI 0000 0004 1936 834X, GRID grid.1013.3, School of Electrical and Information Engineering, University of Sydney, ; Sydney, NSW 2006 Australia
                [4 ]ISNI 0000 0001 0640 7766, GRID grid.418393.4, Black Dog Institute, ; Randwick, NSW 2031 Australia
                [5 ]ISNI 0000 0004 0417 5393, GRID grid.416398.1, St George Hospital, ; Kogarah, NSW 2217 Australia
                Article
                1473
                10.1186/s12888-017-1473-1
                5576307
                28851342
                4fe7ae4b-bd52-4e2f-bac4-d58fb4887eeb
                © The Author(s). 2017

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 2 February 2017
                : 21 August 2017
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100001166, beyondblue;
                Award ID: RG142316
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100008719, Movember Foundation;
                Award ID: RG142316
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100000923, Australian Research Council;
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2017

                Clinical Psychology & Psychiatry
                depression,anxiety,prevention,subclinical,ehealth,mental disorder,resilience

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