Understanding the tools and strategies employees prefer to use when it comes to taking care of their wellbeing is a key area of research, especially since the pandemic has caused employees around the globe to get used to new ways of working. We are collaborating with the University of Hertfordshire and Santander to investigate how employers could better direct some of their resources to cope with any new challenges faced with changing working environments.
Preventing mental health distress from escalating, by identifying potential patterns of behaviours leading to it, is of crucial importance. We are using predictive algorithms and machine learning to find effective ways of predicting changes in users’ behaviour that may signal mental health distress in collaboration with the University of Oxford.
We are continuously trying to improve the way we deliver our content so that our users can make the best out of it. To do so, in collaboration with UCL, we are trying to capture patterns of natural engagement with our solution as well as understand what external factors drive users’ engagement (and how engagement can be maximised).
We want to make sure that we are tackling our users’ needs in the most scientifically rigorous and clinically effective way. Our research, in collaboration with the University of Hertfordshire, includes longitudinal as well as randomised control trials in the healthy and clinical population investigating the efficacy of our solution in reducing mental health distress.
Digital health, 1,
Tucker, I., & Goodings, L. (2015). Managing stress through the Stress Free app: Practices of self-care in digitally mediated spaces.
Journal of medical Internet research, 19
Christoforou, M., Sáez Fonseca, J. A., & Tsakanikos, E. (2017). Two Novel Cognitive Behavioral Therapy-Based Mobile Apps for Agoraphobia: Randomized Controlled Trial.
JMIR mHealth and uHealth, 8
McCloud, T., Jones, R., Lewis, G., Bell, V., & Tsakanikos, E. (2020). Effectiveness of a mobile app intervention for anxiety and depression symptoms in university students: randomized controlled trial.
JMIR Formative Research, 5
Ribanszki, R., Saez Fonseca, J. A., Barnby, J. M., Jano, K., Osmani, F., Almasi, S., & Tsakanikos, E. (2021). Preferences in digital smartphone mental health applications among adolescents: a qualitative study.
If you want to participate in one of our research studies or if you want to collaborate with us, please fill out the form below or email the research team at [email protected] and we will be in touch shortly.