Grounded in clinical research and powered by technology
MindSky leverages the proven effectiveness of cognitive behavioral therapy (CBT) for the treatment of anxiety and depression. The basic premise of CBT is that our emotions are difficult to change directly, so to improve the way we feel we must work on changing the thoughts and behaviors that are producing those emotions. Numerous research studies suggest that CBT leads to significant improvement in functioning and quality of life.
Practice is key
Homework assignments are an essential part of treatment because they help you learn new skills and manage your symptoms. These skills enable you to become aware of your thoughts and emotions; identify how thoughts, behaviors and situations influence the way you feel, and how to improve those feelings by changing your thoughts and behaviors.
Create and Maintain Change
Stress is part of life. Preparing for inevitable difficulties is empowering and encouraging.
The MindSky program is designed to help you identify what skills and tools to use for particular situations or symptoms. Once the treatment ends, these skills will allow you to self-manage your symptoms and prevent relapse.
Through collaboration with academic and professional partners we aim to develop new digital therapies for the treatment of anxiety and depression, and make them widely accessible. Interested in partnering for clinical research? Please contact us.
Additional References
Andrews, G., Basu, A., Cuijpers, P., Craske, M. G., McEvoy, P., English, C. L., & Newby, J. M. (2018). Computer therapy for the anxiety and depression disorders is effective, acceptable and practical health care: An updated meta-analysis. Journal of anxiety disorders, 55, 70–78. https://doi.org/10.1016/j.janxdis.2018.01.001
Enrique, A., Palacios, J. E., Ryan, H., & Richards, D. (2019).
Exploring the Relationship Between Usage and Outcomes of an Internet-Based Intervention for Individuals With Depressive Symptoms: Secondary Analysis of Data From a Randomized Controlled Trial. Journal of medical Internet research, 21(8), e12775. https://doi.org/10.2196/12775
Chien I, Enrique A, Palacios J, et al.
A Machine Learning Approach to Understanding Patterns of Engagement With Internet-Delivered Mental Health Interventions. JAMA Netw Open. 2020;3(7):e2010791. doi:10.1001/jamanetworkopen.2020.10791
Wu, J., Sun, Y., Zhang, G., Zhou, Z., & Ren, Z. (2021).
Virtual Reality-Assisted Cognitive Behavioral Therapy for Anxiety Disorders: A Systematic Review and Meta-Analysis. Frontiers in psychiatry, 12, 575094. https://doi.org/10.3389/fpsyt.2021.575094
Carney, R. M., Freedland, K. E., Stein, P. K., Skala, J. A., Hoffman, P., & Jaffe, A. S. (2000).
Change in heart rate and heart rate variability during treatment for depression in patients with coronary heart disease. Psychosomatic medicine, 62(5), 639–647. https://doi.org/10.1097/00006842-200009000-00007
Chandra L. Bautista, Allura L. Ralston, Rebecca L. Brock & Debra A. Hope | Daryl O’Connor (Reviewing editor) (2022)
Peer coach support in internet-based cognitive behavioral therapy for college students with social anxiety disorder: efficacy and acceptability, Cogent Psychology, 9:1, DOI: 10.1080/23311908.2022.2040160