Mobile Health Systems for Bipolar Disorder: The Relevance of Non-Functional Requirements in MONARCA Project

This paper presents a series of challenges for developing mobile health solutions for mental health as a result of MONARCA project three-year activities. The lessons learnt on the design, development and evaluation of a mobile health system for supporting the treatment of bipolar disorder. The findings presented here are the result of over 3 years of activity within the MONARCA EU project. The challenges listed and detailed in this paper may be used in future research as a starting point for identifying important non-functional requirements involved in mobile health provisioning that are fundamental for the successful implementation of mobile health services in real life contexts.

[1]  I. Miller,et al.  Functional impairment as a predictor of short-term symptom course in bipolar I disorder. , 2008, Bipolar disorders.

[2]  Anastasia N. Kastania,et al.  Evaluation Considerations for E-Health Systems , 2013 .

[3]  Carmel M. Martin,et al.  User-Driven Healthcare and Narrative Medicine: Utilizing Collaborative Social Networks and Technologies , 2010 .

[4]  Franz Gravenhorst,et al.  Towards long term monitoring of electrodermal activity in daily life , 2013, Personal and Ubiquitous Computing.

[5]  Jean-Paul Van Belle,et al.  Adoption of Mobile Technology by Public Healthcare Doctors: A Developing Country Perspective , 2009 .

[6]  Jane. Fitzpatrick.  An Exploration of the Experiences of Migrant Women: Implications for Policy Development of Effective User Driven Health Care Delivery Systems , 2012 .

[7]  M. B. Bonsall,et al.  Nonlinear time-series approaches in characterizing mood stability and mood instability in bipolar disorder , 2011, Proceedings of the Royal Society B: Biological Sciences.

[8]  Kazuki Kozuka,et al.  A Proposed Speech Discrimination Assessment Methodology Based on Event-Related Potentials to Visual Stimuli , 2012, Int. J. E Health Medical Commun..

[9]  M. Cruz-cunha,et al.  Handbook of Research on Icts for Human-Centered Healthcare and Social Care Services , 2013 .

[10]  Kyriacos C. Tsimillis,et al.  Quality Management and Quality Assurance in Medical Laboratories , 2015 .

[11]  G Tröster,et al.  Pervasive Healthcare , 2009, Methods of Information in Medicine.

[12]  María-Dolores Olvera-Lobo,et al.  Searching Health Information in Question-Answering Systems , 2013 .

[13]  O. Mayora-Ibarra,et al.  Smartphone-centred wearable sensors network for monitoring patients with bipolar disorder , 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[14]  Venet Osmani,et al.  Mental health and the impact of ubiquitous technologies , 2013, Personal and Ubiquitous Computing.

[15]  Patrik Eklund,et al.  Elderly care cost control using observation, assessment anddecision-making , 2013 .

[16]  Gulzar H. Shah,et al.  Record Linkage in Healthcare: Applications, Opportunities, and Challenges for Public Health , 2010 .

[17]  Brendan O’ Shea.  Smaller Heroes I Didn’t See , 2011 .

[18]  Tatacipta Dirgantara,et al.  Tracking of Markers for 2D and 3D Gait Analysis Using Home Video Cameras , 2013, Int. J. E Health Medical Commun..

[19]  Carmel M. Martin.  Making Sense of Patterns in Narratives: Theoretical and Conceptual Frameworks , 2011 .

[20]  Sara Paiva,et al.  Preventing Alzheimer's Wandering: The Potential of Involving Communities , 2013, Int. J. Heal. Inf. Syst. Informatics.

[21]  Javier Reina-Tosina,et al.  Intrabody Communications (IBC) as an Alternative Proposal for Biomedical Wearable Systems , 2010 .

[22]  Joan W. Young,et al.  Caught in the Middle: The Divide Between Conventional and Alternative Medicine , 2011 .

[23]  Lenka Lhotska,et al.  Knowledge-Based Support of Medical Work in Home Care , 2013 .

[24]  M. Cruz-cunha,et al.  Handbook of Research on Developments in E-health and Telemedicine: Technological and Social Perspectives , 2009 .

[25]  P. Lukowicz,et al.  Towards smart phone based monitoring of bipolar disorder , 2012, mHealthSys '12.

[26]  Franco Benazzi.  What is hypomania? Tetrachoric factor analysis and kernel estimation of DSM-IV hypomanic symptoms. , 2009, The Journal of clinical psychiatry.

[27]  P. Rajesh Kumar,et al.  SEMG for Human Computer Interface Using Ann to Navigate Wheel Chair , 2010, Int. J. Heal. Inf. Syst. Informatics.

[28]  Ki Jung Lee.  Literature Review in Computational Linguistics Issues in the Developing Field of Consumer Informatics: Finding the Right Information for Consumer's Health Information Need , 2009 .

[29]  H. Sackeim,et al.  Psychomotor symptoms of depression. , 1997, The American journal of psychiatry.

[30]  H Kuhs,et al.  Psychomotor activity in unipolar and bipolar depressive patients. , 1992, Psychopathology.

[31]  Maria Manuela Cruz-Cunha,et al.  Handbook of Research on ICTs and Management Systems for Improving Efficiency in Healthcare and Social Care , 2013 .