BACKGROUND: Despite the growing popularity and widespread adoption of mobile mental health apps, there is still insufficient high-quality evidence demonstrating their safety and efficacy.
Aims: This exploratory analysis investigates the potential effect size of mindLAMP, a smartphone mental health app, on reducing symptoms of depression and anxiety by comparing the results of using mindLAMP in a control implementation and in a intervention implementation.
METHODS: A total of 238 participants were eligible and finished the study in the control implementation, while 156 participants completed the study in the intervention implementation of the mindLAMP app. All participants (both groups) had access to the same in-app activities, including self-assessments and therapeutic interventions.
RESULTS: After multiple imputation, analysis revealed significant minor effect sizes of Hedge’s g = 0.21 and Hedge’s g = 0.34 in the reduction of depression and anxiety symptoms respectively.
CONCLUSIONS: MindLAMP demonstrates a promising potential in reducing symptoms of depression and anxiety. Additionally, this study underscores the adaptability, reusability, and scalability of smartphone apps, as they can be implemented in diverse settings. These results serve as a basis for further research to examine the effectiveness of not only mindLAMP but also other mental health apps in addressing symptoms of depression and anxiety.
| Identifer | oai:union.ndltd.org:bu.edu/oai:open.bu.edu:2144/48116 |
| Date | 15 February 2024 |
| Creators | Chang, Sarah |
| Contributors | Torous, John B., Henderson, David C. |
| Source Sets | Boston University |
| Language | en_US |
| Detected Language | English |
| Type | Thesis/Dissertation |
| Rights | Attribution 4.0 International, http://creativecommons.org/licenses/by/4.0/ |
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