Search citation statements
Paper Sections
Citation Types
Year Published
Publication Types
Relationship
Authors
Journals
Cognitive behavioural therapy (CBT) is an effective psychological treatment for anxiety-related disorders (anxiety disorders, post-traumatic stress disorder, and obsessivecompulsive disorder). However, relapse of anxiety symptoms is common following completion of treatment. This study aimed to identify predictors of relapse of anxiety after CBT for adult (18+) patients to enable the identification of 'at-risk' patients who could potentially benefit from relapse prevention interventions. A systematic review and meta-analysis was conducted, including studies found in PsycINFO, PubMed, Scopus, and Web of Science, and through hand-searches of references lists and reverse citations. Nine studies met eligibility criteria (N=532 patients). On average, 23.8% of patients experienced relapse following completion of CBT. A total of 21 predictors were identified and grouped into seven categories: residual symptoms; personality disorders; medication; clinical features; stressful life-events; degree of improvement; and demographics. A meta-analysis of residual symptoms as a predictor of relapse yielded a moderate but non-significant pooled effect size (r=0.35; 95% CI -0.21, 0.74, p = .08). Further research with adequately powered samples and standardised operationalisations of relapse are required to identify robust predictors.
Cognitive behavioural therapy (CBT) is an effective psychological treatment for anxiety-related disorders (anxiety disorders, post-traumatic stress disorder, and obsessivecompulsive disorder). However, relapse of anxiety symptoms is common following completion of treatment. This study aimed to identify predictors of relapse of anxiety after CBT for adult (18+) patients to enable the identification of 'at-risk' patients who could potentially benefit from relapse prevention interventions. A systematic review and meta-analysis was conducted, including studies found in PsycINFO, PubMed, Scopus, and Web of Science, and through hand-searches of references lists and reverse citations. Nine studies met eligibility criteria (N=532 patients). On average, 23.8% of patients experienced relapse following completion of CBT. A total of 21 predictors were identified and grouped into seven categories: residual symptoms; personality disorders; medication; clinical features; stressful life-events; degree of improvement; and demographics. A meta-analysis of residual symptoms as a predictor of relapse yielded a moderate but non-significant pooled effect size (r=0.35; 95% CI -0.21, 0.74, p = .08). Further research with adequately powered samples and standardised operationalisations of relapse are required to identify robust predictors.
BACKGROUND A range of mobile apps for anxiety have been developed in response to the high prevalence of anxiety disorders. Although the number of publicly available apps for anxiety is increasing, attrition rates among mobile apps are high. These apps must be engaging and relevant to end users to be effective; thus, engagement features and the ability to tailor delivery to the needs of individual users are key. However, our understanding of the functionality of these apps concerning engagement and tailoring features is limited. OBJECTIVE The aim of this study is to review how cognitive behavioral elements are delivered by anxiety apps and their functionalities to support user engagement and tailoring based on user needs. METHODS A systematic search for anxiety apps described as being based on cognitive behavioral therapy (CBT) was conducted on Android and iPhone marketplaces. Apps were included if they mentioned the use of CBT for anxiety-related disorders. We identified 597 apps, of which 36 met the inclusion criteria and were reviewed through direct use. RESULTS Cognitive behavioral apps for anxiety incorporate a variety of functionalities, offer several engagement features, and integrate low-intensity CBT exercises. However, the provision of features to support engagement is highly uneven, and support is provided only for low-intensity CBT treatment. Cognitive behavioral elements combine various modalities to deliver intervention content and support the interactive delivery of these elements. Options for personalization are limited and restricted to goal selection upon beginning use or based on self-monitoring entries. Apps do not appear to provide individualized content to users based on their input. CONCLUSIONS Engagement and tailoring features can be significantly expanded in existing apps, which make limited use of social features and clinical support and do not use sophisticated features such as personalization based on sensor data. To guide the evolution of these interventions, further research is needed to explore the effectiveness of different types of engagement features and approaches to tailoring therapeutic content.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.