This file was created by the TYPO3 extension bib --- Timezone: UTC Creation date: 2025-04-19 Creation time: 05-30-09 --- Number of references 2 article 2015-cheng-piap-jmu JMIR Mhealth Uhealth 2016 7 20 4 3 e88 piap http://mhealth.jmir.org/2016/3/e88/ http://www.ncbi.nlm.nih.gov/pubmed/27439444 Online en 2291-5222 10.2196/mhealth.5284 1 Paula Glenda FerrerCheng Roann MunozRamos Jó AgilaBitsch Link Stephan MichaelJonas TimIx Portia Lynn QuetulioSee KlausWehrle inproceedings 2015-bitsch-phealth-piap 2015 6 2 211 153 --159 Depression is the most prevalent clinical disorder and one of the main causes of disability. This makes early detection of depressive symptoms critical in its prevention and management. This paper presents and discusses the development of Psychologist in a Pocket (PiaP), a mental mHealth application for Android which screens and monitors for these symptoms, and–given the explicit permission of the user–alerts a trusted contact such as the mental health professional or a close friend, if it detects symptoms. All text inputted electronically–such as short message services, emails, social network posts–is analyzed based on keywords related to depression based on DSM-5 and ICD criteria as well as Beck's Cognitive Theory of Depression and the Self-Focus Model. Data evaluation and collection happen in the background, on- device, without requiring any user involvement. Currently, the application is in an early prototype phase entering initial clinical validation. fileadmin/papers/2015/2015-bitsch-phealth-piap.pdf Print Blobel, Bernd and Lindén, Maria and Ahmed, Mobyen Uddin IOS Press

Amsterdam

Studies in Health Technology and Informatics Proceedings of the 12th International Conference on Wearable Micro and Nano Technologies for Personalized Health Västerås, Sweden 12th International Conference on Wearable Micro and Nano Technologies for Personalized Health June 2-4, 2015 en 978-1-61499-515-9 0926-9630 10.3233/978-1-61499-516-6-153 1 Jó AgilaBitsch Link RoannRamos TimIx Paula GlendaFerrer Cheng KlausWehrle