Literature DB >> 27577370

Accompanying Depression with FINE - A Smartphone-Based Approach.

Marcel Dang1, Corinna Mielke1, Alexander Diehl2, Reinhold Haux1.   

Abstract

Major depression is the most prevalent mental disorder and one of the main reasons for disability. To be successful in treating depression, it is necessary to have early identification and intervention. Therefore, it is important to design more objective and more efficient depression screening techniques. Such interventions provided by mobile apps shows promise due to their capabilities to support people in their everyday lives. Until very recently, the design of mental health apps that works effectively in the context of diagnostics had not been widely explored. For this reason, we have investigated potentially significant depression-correlated parameters derived from self reports, smartphone usage pattern and sensor data to specify our concept. Following the results of the requirement analysis, we developed the Android app 'Fine'. A feasibility check with a specific target audience has shown that the app can record most of the selected parameters reliably. It has also shown that the overall concept has been accepted positively with the target audience. Further work is planned to improve the functionalities and to adapt specific needs for depression attendance.

Entities:  

Mesh:

Year:  2016        PMID: 27577370

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  6 in total

1.  User Engagement in Mental Health Apps: A Review of Measurement, Reporting, and Validity.

Authors:  Michelle M Ng; Joseph Firth; Mia Minen; John Torous
Journal:  Psychiatr Serv       Date:  2019-03-27       Impact factor: 3.084

Review 2.  Smartphone-Based Monitoring of Objective and Subjective Data in Affective Disorders: Where Are We and Where Are We Going? Systematic Review.

Authors:  Ezgi Dogan; Christian Sander; Xenija Wagner; Ulrich Hegerl; Elisabeth Kohls
Journal:  J Med Internet Res       Date:  2017-07-24       Impact factor: 5.428

Review 3.  Smartphone-based objective monitoring in bipolar disorder: status and considerations.

Authors:  Maria Faurholt-Jepsen; Michael Bauer; Lars Vedel Kessing
Journal:  Int J Bipolar Disord       Date:  2018-01-23

4.  Depressive Symptoms Feature-Based Machine Learning Approach to Predicting Depression Using Smartphone.

Authors:  Juyoung Hong; Jiwon Kim; Sunmi Kim; Jaewon Oh; Deokjong Lee; San Lee; Jinsun Uh; Juhong Yoon; Yukyung Choi
Journal:  Healthcare (Basel)       Date:  2022-06-24

5.  STDD: Short-Term Depression Detection with Passive Sensing.

Authors:  Nematjon Narziev; Hwarang Goh; Kobiljon Toshnazarov; Seung Ah Lee; Kyong-Mee Chung; Youngtae Noh
Journal:  Sensors (Basel)       Date:  2020-03-04       Impact factor: 3.576

Review 6.  Characteristics of Mobile Health Platforms for Depression and Anxiety: Content Analysis Through a Systematic Review of the Literature and Systematic Search of Two App Stores.

Authors:  Alexandria Remus; Dean Ho; Qiao Ying Leong; Shreya Sridhar; Agata Blasiak; Xavier Tadeo; GeckHong Yeo
Journal:  J Med Internet Res       Date:  2022-02-04       Impact factor: 5.428

  6 in total

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