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Background: The clinical effects of smartphone‐based interventions for bipolar disorder (BD) have yet to be established. Objectives: To examine the efficacy of smartphone‐based interventions in BD and how the included studies reported user‐engagement indicators. Methods: We conducted a systematic search on January 24, 2022, in PubMed, Scopus, Embase, APA PsycINFO, and Web of Science. We used random‐effects meta‐analysis to calculate the standardized difference (Hedges' g) in pre‐post change scores between smartphone intervention and control conditions. The study was pre‐registered with PROSPERO (CRD42021226668). Results: The literature search identified 6034 studies. Thirteen articles fulfilled the selection criteria. We included seven RCTs and performed meta‐analyses comparing the pre‐post change in depressive and (hypo)manic symptom severity, functioning, quality of life, and perceived stress between smartphone interventions and control conditions. There was significant heterogeneity among studies and no meta‐analysis reached statistical significance. Results were also inconclusive regarding affective relapses and psychiatric readmissions. All studies reported positive user‐engagement indicators. Conclusion: We did not find evidence to support that smartphone interventions may reduce the severity of depressive or manic symptoms in BD. The high heterogeneity of studies supports the need for expert consensus to establish ideally how studies should be designed and the use of more sensitive outcomes, such as affective relapses and psychiatric hospitalizations, as well as the quantification of mood instability. The ISBD Big Data Task Force provides preliminary recommendations to reduce the heterogeneity and achieve more valid evidence in the field. [ABSTRACT FROM AUTHOR]

Unlike traditional methods of delivering substance use disorder (SUD) and mental health treatment, computerized behavioral interventions deliver services via computers, smartphones, and other electronic devices. In recent years, there has been a proliferation of Web-based treatment programs designed for certain target populations. Studies have shown that many of these programs are evidence-based, and some are just as effective as traditional in-person interventions. This article reviews current computerized behavioral interventions and makes recommendations for how these tools can be incorporated into SUD treatment services. [ABSTRACT FROM PUBLISHER]

As PPI research embraces the use of the Internet, it is incumbent on the research community to keep up with the ever-evolving best practices in online intervention research. This paper provides an overview of current practices in online positive psychological intervention (OPPI) research and suggests improvements to those practices. Drawing from the broader online intervention literature, the paper outlines important considerations in the design of OPPIs (including user engagement, dosage, and free choice) as well as in their empirical evaluation (including sample selection, statistical approaches, and comparison groups). [ABSTRACT FROM AUTHOR]