ehealth conference 2012 dr annie lau
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Centre for Health Informatics
Annie Lau, PhDCentre for Health Informatics
Australian Institute of Health Innovation
University of New South Wales
eHealth Conference at CeBIT, May 2012
How E-Health Affects the Way Consumers
Make Decisions and Manage Their Health
- Results from multiple empirical studies
About Centre for Health Informatics
University of New South Wales (UNSW)
• Australia’s largest academic health informatics
research group, led by Prof. Enrico Coiera
• To deliver high quality, safe, efficient and
affordable health care through the intelligent use
of information and communication technologies
• Four research areas: Patient Safety Informatics,
Modelling and Simulation, Translational
Bioinformatics, Consumer Informatics
Objectives
1. Impact of Consumer E-Health
– How E-Health Affects the Way Consumers Make Decisions and
Manage Their Health
– Topics: IVF, influenza vaccination, physical and emotional
wellbeing, breast cancer survivorship, asthma, STI screening,
cardiovascular risks
2. Designs of Consumer E-Health
– Ways to design E-Health to improve consumers’ engagement with
health services
– Platforms: web-based, mobile phone, social media
3. Science of Consumer E-Health: cognitive biases, online
social influence, E-Health engagement, safety of E-Health
Outline
• About Healthy me and its impact
• Case study: YouTube and safety concerns for consumers
• Implications on Consumer E-Health Designs
What is Healthy.me?
• Personally controlled health management system
• Our focus is to support patients on totality of services
needed to manage their health, not just provide a record
• Portal of online services offered by health service
providers to engage with patients
Studies on Healthy.me (2010-2012)
1. In-vitro fertilisation (IVF) treatment
2. Uptake of influenza vaccination
3. Physical and emotional wellbeing
4. Breast cancer survivorship after treatment
Study 1 > In-vitro fertilization (IVF)
Supporting women undergoing IVF
• Design: Feasibility study
• Participants: Women undergoing IVF treatment
(Agonist Long Down Regulation)
• Duration: 8 weeks; interviewed weekly
• Location: Urban Australia
• Participants: 17 recruited, 14 completed
9
Lau AYS, Parker A, Early J, Sacks G, Anvari F, Coiera E. Comparative usage of a web-based
personally controlled health management system and normal support: A case study in IVF.
electronic Journal of Health Informatics (eJHI). 2012; (in press).
Uptake of influenza vaccine
• Design: Randomised controlled trial (Healthy.me vs.
waitlist)
• Participants: UNSW staff and students
• Duration: Winter season 2010
• Location: UNSW Health Service
• Participants: 855 recruited, 604 followed-up (71%
retention)
Study 2 > Influenza vaccine
Lau AYS, Sintchenko V, Crimmins J, Magrabi F, Gallego B, Coiera E. Protocol for a randomised
controlled trial examining the impact of a web-based personal health management system on the uptake
of influenza vaccination rates. BMC Health Services Research. 2012; (in press).
• Design: Online prospective cohort study
• Participants: >1500 UNSW staff and students
• Duration: 2010-2011
• Location: UNSW
• Physical and emotional wellbeing
– Men health screening
– Women health screening
– Emotional wellbeing programs
Study 3 > Wellbeing
UNSW online health community
• Design: Feasibility study
• Participants: around 50 patients with early stage
breast cancer
• Duration: 2011-2012
• Location: Liverpool and Macarthur Cancer Therapy
Centres
Study 4 > Breast cancer
Breast cancer survivorship
Outline
• About Healthy me and its impact
• Case study: YouTube and safety concerns for
consumers
• Implications on Consumer E-Health Designs
Social media
• Design: 456 abstracts on “quality criteria” related to YouTube
• Sources: PubMed, ISI Web of Knowledge, PsychINFO and
Scopus
• Period: November 2011
• Findings: 5 areas of safety concerns related to YouTube
Study 5 > YouTube and safety concerns
Lau AYS, Gabarron E, Fernandez-Luque L, Armayones M. Social Media in Health – What
are the Safety Concerns for Health Consumers? Health Information Management Journal
2012. (in press)
Examples of Safety Concerns on
1. Harmful health material targeted at consumers
• e.g. inappropriate marketing of tobacco, or direct-to-consumer
drug advertising
2. Public display of unhealthy behaviour
• e.g. people displaying self-injury behaviours or hurting others
3. Tainted public health messages
• e.g. rise of negative voices against immunisation campaigns
Study 5> YouTube and safety concerns
Lau AYS, Gabarron E, Fernandez-Luque L, Armayones M. Social Media in Health – What
are the Safety Concerns for Health Consumers? Health Information Management Journal
2012. (in press)
Examples of Safety Concerns on
4. Psychological impact from accessing inappropriate, offensive or
biased social media content
- e.g. children accessing videos on surgical procedures
5. Using social media to distort policy and research funding
agendas
- e.g. misdirected research funding in Canada on Chronic
Cerebrospinal Venous Insufficiency (CCSVI)
Study 5 > YouTube and safety concerns
Lau AYS, Gabarron E, Fernandez-Luque L, Armayones M. Social Media in Health – What
are the Safety Concerns for Health Consumers? Health Information Management Journal
2012. (in press)
Implications on Consumer E-Health Designs
• To our knowledge, first study that shows PCHMS can
significantly increase uptake of preventative health
measures
• “Science” of Consumer E-Health Systems – uptake,
benefits, and cost effectiveness of these investments
• “Crowd influence” and social media in health – undue
social influences and safety concerns for consumers
and clinicians
Summary
• Goal: how we can use E-Health and online social
technologies safely and effectively to support patients in
their health journeys with clinicians and health services
• Healthy.me undergoing continuous development
• Collaborations are warmly welcome
Thank you
Annie Lau, PhD
Centre for Health Informatics
University of New South Wales
Email: [email protected]
www.chi.unsw.edu.au