Nadeem Gire
The University of Central Lancashire, United Kingdom
Title: TechCare: Mobile-assessment and therapy for psychosis: An intervention for clients within the early intervention service
Biography
Nadeem Gire is a PhD Student funded by the UK National Institute of Health Research (NIHR) Collaboration for Leadership and Acceleration in Health Research and Care North West Coast (CLAHRC-NWC) at the University of Central Lancashire. He also works as a clinical researcher at Lancashire Care NHS Foundation Trust and is a Visiting Research Fellow at the Pakistan Institute of Learning and Living. His work has focused in the area of global mental health, working alongside Dr Nusrat Husain and Professor Imran Chaudhry and is a member of the Global Mental Health Research Group at the University of Manchester.
Abstract
There has been a vast amount of research in the field of psychological interventions primarily in the efficacy of Cognitive Behavioural Therapy (CBT) for a range of severe mental health disorders. Technological advances in healthcare have shown promise when delivering interventions for mental health problems such as psychosis. The aim of thecurrent project is to develop a mobile phone intervention for people with psychosis and to conduct a feasibility study of the TechCare App. The TechCare App will assess participant’s symptoms and respond with a personalized guided self¬-help based psychological intervention with the aim of reducing participant’s symptoms. The project will recruit 16 service users and 8¬-10 health professionals and will be conducted at the Lancashire Care NHS Foundation Trust Early Intervention Service. In phase one of the study, we will invite people to discuss their experience of psychosis and give their opinions on the existing evidence based treatment (CBT) and how the mobile app can be developed to deliver the intervention in real-time. In phase two, we will complete a test run with a small number of participants (n=4) to refine the mobile intervention (TechCare). Finally, in phase three of the study the TechCare App will be examined in a feasibility study with a total of 12 participants. Hollis et al., has suggested a need fortherapid increase in the evidence base for the clinical effectiveness of digital technologies with mHealth research being potentially helpful in addressing the demand on mental health services globally.
Anandhi V Dhukaram
University of Cambridge, United Kingdom
Title: Application of persuasive techniques in the design of mobile e-Health systems
Biography
Anandhi Vivekanandan Dhukaram is passionate about combining multidisciplinary design approach, technology and cognitive engineering to create a state of the art solution. Her PhD at the University of Birmingham is funded by the European Union project titled "Pervasive Technology for Cardiac care". She has been a speaker and presented in various conferences. Her recent work is published in the Journal of Medical Informatics. Before entering academia, she had a distinguished career for more than a decade working for various clients including Accenture, Barclays and ACNielsen across the globe: India, Australia, Canada, USA and UK.
Abstract
A growing number of mobile applications are being developed as personalized e-Health systems to support user’s wellbeing, change attitudes and behaviour. This imposes greatest challenge on the design and display of user interfaces. Although theories from positive psychology such as cognitive behavioural therapy, behaviour change support systems and behaviour models have been promising for the study of user intentions and behaviour change, it remains used as a checklist or rules of thumb for software artefact rather that a systematic design methodology to the design of user interface. This paper applies persuasive design techniques and human computer interaction features to analyse the design of seven mobile apps that are currently popular in the iPhone and Google app stores for well-being and happiness. The apps were analysedby 4 researchers in the field of psychology and human computer interaction against features needed for: Primary task support, dialog support, system credibility; social context and user interface elements. Based on this analysis a comprehensive tool is developed to guide interaction interface designers in the design of effective apps.