Self-Guided Smartphone App (Vimbo) for the Reduction of Symptoms of Depression and Anxiety in South African Adults: Pilot Quantitative Single-Arm Study
- PMID: 39883938
- PMCID: PMC11826938
- DOI: 10.2196/54216
Self-Guided Smartphone App (Vimbo) for the Reduction of Symptoms of Depression and Anxiety in South African Adults: Pilot Quantitative Single-Arm Study
Abstract
Background: Barriers to mental health assessment and intervention have been well documented within South Africa, in both urban and rural settings. Internationally, evidence has emerged for the effectiveness of technology and, specifically, app-based mental health tools and interventions to help overcome some of these barriers. However, research on digital interventions specific to the South African context and mental health is limited.
Objective: This pilot study investigated the feasibility of using an app (Vimbo) to treat symptoms of anxiety and depression in South African adults recruited from a community sample. The Vimbo app is a self-guided, cognitive behavioral therapy-based digital intervention for common mental health difficulties developed for the South African context.
Methods: This pilot study used a naturalistic, single-arm design testing the Vimbo app over 12 weeks, from October 2020 to February 2021. Participants were recruited through the South African Depression and Anxiety Group and social media advertisements online. A 2-week retention period was used to allow for a minimum of 2 datasets. App usage and engagement metrics were extracted directly from the back end of the app. Based on the model, researchers expected many users to discontinue usage when their symptom levels entered a healthy range. Pre-post review of symptom levels was used to reflect on clinical recovery status at discontinuation after the retention period.
Results: A total of 218 applicants met study eligibility criteria and were invited to download the Vimbo app. Of these, 52% (114/218) of the participants registered with the app, who indicated multiple variances of depression and anxiety symptoms ranging in severity from mild to severe. Two participants users withdrew from the study. Moreover, 69% (77/112) of users were retained, including 8 who had technical issues with their treatment. When comparing broad uptake across all interested participants, chi-square analysis indicated significantly reduced uptake in participants identifying as "unemployed but seeking employment" (χ24=10.47; N=251; P=.03). When considering app usage for the entire cohort (n=69, excluding participants with technical issues), there was a mean of 72.87 (SD 71.425) total module pages read, a mean of 30% (SD 29.473%) of prescribed content completed, and a mean of 19.93 (SD 27.517) times engaging with tools and skills.
Conclusions: Our findings support the case for continued exploration of app-based interventions for treating depression and anxiety in South Africa. Developing strategies to increase access and improve intervention uptake may prove essential to helping mobile health interventions make as significant an impact as possible. Future research should include a randomized controlled trial with a larger sample to further assess the efficacy of app-based interventions in treating mental health difficulties in South Africa.
Keywords: CBT; South Africa; anxiety; app-based intervention; cognitive behavioral therapy; depression; health; mental health; mental health app; mobile health; mobile phone; smartphone; treatment gap.
©Sherrie Steyn, Meggan Slabbert. Originally published in JMIR Formative Research (https://formative.jmir.org), 30.01.2025.
Conflict of interest statement
Conflicts of Interest: Both authors are affiliated with Vimbo Health Ltd through personal investment in the company. The lead researcher is both cofounder and chief science officer for Vimbo Health Ltd. The coresearcher remains an advisor to Vimbo Health Ltd. Both have received a salary or payment for their work on this research. Research funded by Vimbo Health Ltd. A potential conflict of interest exists as Vimbo Health Ltd sponsored the research, and the lead researcher is a cofounder and chief science officer. Despite this, strict protocols ensured unbiased data processing and analysis. Raw data are available for further analysis and cross-checking.
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