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Mind Tech : who’s who. What we can offer ?. Clinical & User Perspective knowledge and expertise in mental health and dementia access to patients & PPI MindTech patient reference group R esearch communicating user and clinical needs into design briefs
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What we can offer ? • Clinical & User Perspective • knowledge and expertise in mental health and dementia • access to patients & PPI • MindTech patient reference group • Research • communicating user and clinical needs into design briefs • collaboration & consultation with SMEs, academics, NHS Trusts • protocol development for technology trials, early stage health economics • expertise in automated facial analysis, patient ambient monitoring (PAM), app development, serious games, implementation science and human factors • Governance & funding advice • Intellectual property (IP) and regulatory issues • NICE & MHRA assessment procedures • Knowledge of healthtechfunding streams • NHS Policy & Implementation • Access to AHSNs, NHS England
Research Approach Identify the clinical problem/ unmet need Develop/ identify a technological solution Evaluate clinical/cost effectiveness Adopt and disseminate in NHS
Research Approach Identify the clinical problem/ unmet need Develop/ identify a technological solution Evaluate clinical/cost effectiveness Adopt and disseminate in NHS User perspectives
Technology Innovation Pipeline Patients, Clinicians, NHS Trusts Identifying Need Implementation Development CLAHRC & AHSN HTA/ i4i & Academics SMEs Facial affect recognition QbTest BuddyApp Personalised ambient monitoring
MindTech Social media & networks Facial expression, voice & eye gaze On-line therapy Apps E-mental health Movement, activity & cognition Apps, SMS text messaging Personalised ambient monitoring (PAM) Real-time behavioural signatures machine learning (SVML) for neuroimaging Serious Games Neuromodulation Avatar therapy rTMS, tDCS, VNS Virtual reality Neurofeedback & gaze control
On-line therapy Apps E-mental health Activity, mood & cognition Apps, SMS text messaging • Objective assessment • Real-time monitoring • Early relapse detection Personalised ambient monitoring (PAM) • Widening access • Increasing adherence • Self-management Serious Games Neuromodulation Avatar therapy rTMS, tDCS, VNS Virtual reality The Mental Health Technology Innovation Landscape
2 key questions: • Do people use the tools? • Do they work i.e. support young people’s mental health? Contact: lucy.simons@nottingham.ac.uk
QbTest: Objective Assessment of ADHD • Computerised assessment of attention and activity • Supports clinical decision making • Provides patients with objective reports on their condition
AQUA Trial Design Assessment of QbTestUtility in ADHD Assessment for ADHD Consent Randomise Qb Test Baseline Qb Test QbO: Report disclosed QbB: Report withheld Clinical management decisions recorded: – diagnosis & treatment QbTest disclosed 6 months
Automated objective behavioural analysis:mood and depression Valstar et al. (technology theme)
Personalised Ambient Monitoring (PAM) • User input: • General health questionnaires • Mood self-assessment GSM location GPS module XYZ accelerometer • Wearable Node • Acceleration • General light level • Artificial light level • Ambient sound properties Internal accelerometer Bluetooth Encounters* • Bluetooth • 3G / GPRS • User input • Internal
CASA Connecting Assistive Solutions to Aspirations • 9 month partnership project supported by government grant (Technology Strategy Board) • aims: • create independent living packages for 2 groups • older people inc. with dementia • younger people with learning disability • link to a person’s aspirations – what they like doing or want to achieve in life • conduct test of example packages • develop business model for packages New Mind EPSRC Network for MH Technologies, Manchester
Remote / Video Therapy • Applicable to multiple conditions: • Depression • Anxiety • Self-harm • Tourette’s • Eating Disorders, etc • On-line therapies via text, voice, video • Real-time and asynchronous • 24/7 access • Evidence-based content/ CBT therapy • High reported user satisfaction & improvement • But few independent evaluations…… • Research evidence for cost-effectiveness still needed • Potential platform for NHS clinicians
The Digital Health Explosion • 2010: 5,000 health apps available • 2013: Global m-Health market worth £2bn • 2014: 97,000 mobile health apps in 62 app stores • 2017: Global m-Health market worth £20bn • Where’s the research evidence?Safety?Efficacy?
Key Challenges • Earlier user involvement in design and development • Grow the research evidence-base for user acceptability, improved mental health outcomes and cost effectiveness • Regulation, industry standards and quality control for mHealth apps • Scalability and implementation: from local to national • Privacy, trust, consent and data security • Interoperability – connectivity of apps and m-health with NHS N3, EPR, clinician decision support systems • Collaboration across the NHS, industry and academia
MindTech 2014 National Symposium Date: Monday 24th November 2014Venue: The Royal College of Physicians, London SAVE THE DATE! • Avatar therapy for voices: From a clinical trial to routine practice • Big White Wall and PsychologyOnline: The ‘big’ challenges for eTherapy evaluation • ClinTouch: Mobile support for people with psychosis • Video-conferencing for psychological interventions: How can innovative practice inform research? • Mental health apps: How do we know what works? • My Health Locker: Empowering patients with personal electronic health records • User-led evaluation: Why it matters
MindTech Contacts: Director Prof Chris Hollis chris.hollis@nottingham.ac.uk Technology Lead Prof John Crowe john.crowe@nottingham.ac.uk Programme Manager Dr Jen Martin Jennifer.martin@nottingham.ac.uk