Using Technology to Transform Mental Healthcare Professor Chris - - PowerPoint PPT Presentation

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Using Technology to Transform Mental Healthcare Professor Chris - - PowerPoint PPT Presentation

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MindTech Health Technology Co-operative Using Technology to Transform Mental Healthcare Professor Chris Hollis Director, MindTech 29/04/2014 Westminster Health Forum - Improving mental health outcomes NIHR Healthcare Technology Co-operatives

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MindTech Health Technology Co-operative

Using Technology to Transform Mental Healthcare

29/04/2014

Professor Chris Hollis Director, MindTech

Westminster Health Forum - Improving mental health outcomes

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NIHR Healthcare Technology Co-operatives (HTCs)

Sheffield: Devices for Dignity Leeds: Colorectal Therapies Bradford: Wound Prevention & Treatment Nottingham: Mental Health Sheffield: Devices for Dignity Cambridge: Brain Injury Barts: Gastrointestinal Disease Guys: Cardiovascular Disease Birmingham: Trauma Management

From January 2013

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MindTech Aims

  • To act as a catalyst for the development, evaluation

and adoption of innovative technologies in mental healthcare

  • To bring together patients and patient groups,

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  • To bring together patients and patient groups,

clinicians, mental health charities, industry/SMEs and academia

  • To help transform service delivery, enhance patient

experience and improve clinical outcomes

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Why Mental Health?

  • Mental health problems affect 1 in 4 people
  • Huge economic cost to UK - £105bn per year
  • Greatest cause of health related disability in UK
  • High unmet need with little technological innovation
  • Subjective clinical assessment dominates practice
  • Lack of historical engagement with SMEs
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Why Technology?

  • £30bn NHS funding gap by 2020 requires transformational

change

  • Demand for more flexible, person-centred care and self-

management management

  • Advances in computer science and bio-engineering
  • Rapid growth in smart technologies
  • Britain is ready for digital mental health
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MindTech Innovation Partnerships

Users

Patients, clinicians, NHS Trusts, charities & the public

SMEs & Developers

MindTech

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University Research

Behavioural Science, Psychiatry, Computer Science, Human Factors, Clinical Trials, Bio-engineering

Funding, Policy, Regulation & Governance

MindTech

Tourettes Action

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MindTech Approach

Identify the clinical problem/ unmet need Develop/ identify a technological solution Evaluate clinical/cost effectiveness Adopt and disseminate in NHS

User perspectives

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Automated

  • bjective

behavioural analysis Big data & machine

E-mental health

Apps

On-line therapy

Personalised ambient

Activity, mood & cognition Apps, SMS text messaging

  • Objective assessment
  • Real-time monitoring
  • Early relapse

machine learning

ambient monitoring (PAM) Neuromodulation Serious Games

Avatar therapy Virtual reality rTMS, tDCS, VNS

The Mental Health Technology Landscape

  • Widening access
  • Increasing adherence
  • Self-management
  • Early relapse

detection

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Mental Health Apps

  • My Journey App – Early Intervention in

Psychosis Service for 14 - 35 year olds. Surrey & Borders Partnership NHSFT

Graded self-assessment, mood management tips, emergency contacts, information

  • Actissist – personalised CBT treatment for early
  • Actissist – personalised CBT treatment for early

stage psychosis. University of Manchester

  • Doc Ready & QDoc – checklist for patient/GP
  • communication. Social Spider and others.
  • CANTABmobile – Mobile app for memory

assessment using Paired Associates Learning

  • test. Cambridge Cognition Ltd.

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My Journey EIP App

Reminders Contacts Information

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Sarah Amani

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My Journey EIP App

Mood self- monitoring Pill tracker supports adherence

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QbTest: Objective Assessment of ADHD

  • Computerised assessment of

attention and activity

  • Supports clinical decision making
  • Provides patients with objective

reports on their condition

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Automated objective behavioural analysis: mood and depression

Valstar et al. (technology theme)

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Remote / Video Therapy

Applicable to multiple conditions:

  • Depression
  • Anxiety
  • Self-harm
  • Tourette’s
  • Eating Disorders, etc
  • On-line therapies via text, voice, video
  • 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
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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?

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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

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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

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