Abstract
Depression in its various forms is a widespread phenomenon in modern societies. Its high prevalence, associated costs, the chronic nature it develops and the challenges in diagnosing it put a lot of pressure on public healthcare systems. In response to these challenges, ICT-based approaches are increasingly implemented to support effective patient management and discovery. This paper presents a web application named “feeldistress”, which is based on a novel distress evaluation framework to enable remote diagnosis of anxiety and depression, facilitate continuous evaluation of patients and assist prevention of suicide. The developed application was used and evaluated from a qualitative perspective by 117 students (47% women) who had visited the Special Office for Health Consulting Services of the University of Patras between 2014 and 2017. The majority of the users were very satisfied by the functionality, usability and appearance of the application showing it can be extremely useful tool for someone before hitting the door of a mental health specialist.
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Konstantopoulou, G., Panagiotakopoulos, T., Mandellos, G.J., Asimakopoulos, K., Lymberopoulos, D.K. (2019). A Telemedicine Application for Remote Diagnosis and Assessment of Mood Disorders. In: Sucasas, V., Mantas, G., Althunibat, S. (eds) Broadband Communications, Networks, and Systems. BROADNETS 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 263. Springer, Cham. https://doi.org/10.1007/978-3-030-05195-2_12
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DOI: https://doi.org/10.1007/978-3-030-05195-2_12
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