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MapMySmoke A Context Aware Mobile Phone Application Targeted at Smoking Cessation

Authors:
MapMySmoke
A Context Aware Mobile Phone Application
Targeted at Smoking Cessation
Tom Kelsey
School of Computer Science
University of St Andrews
https://tom.host.cs.st-andrews.ac.uk
twk@st-andrews.ac.uk
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The Team
Kay Sampson – Tobacco Co-ordinator, Fife Health & Social
Care Partnership
John Marston – Primary Care physician, Fife
Rob Schick – Duke University, North Carolina USA
Gerry Humphris – School of Medicine
Tom Kelsey – School of Computer Science
Funding from
NHS Fife R & D
the Fife Health and Social Care Partnership
EPSRC Impact Acceleration Account
University of St Andrews Summer Internship Scheme 2017
Health Improvement, Protection and Services Research
Committee of the Chief Scientist’s Office (part of the Scottish
Government Health Directorates – under review)
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Overview
With the increasing availability of smartphones, we sought to
investigate whether:
An app could be deployed with smokers intending to quit
An app would increase understanding of individual and
population level smoking behaviour
Knowledge of craving and smoking behaviour helps
smokers quit
App-based delivery of support messages could better
support individual quit attempts
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Background
11,000 people die in Scotland each year from smoking related
causes.
While quitting smoking is relatively easy, maintaining a quit
attempt is very difficult. Pharmaceutical treatments improve
abstinence rates, however they do not address the spatial aspects
of smoking behaviour.
Since smartphones can log spatial, as well as quantitative and
qualitative data related to smoking behaviour, we can support
smokers by first understanding their smoking behaviour and
then sending dynamic support messages post-quit.
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Methods
We have built a
smartphone app
that works on Android and iOS
platforms.
The deployment of this app within a clinical NHS setting has two
distinct phases:
1
a two-week logging phase where pre-quit patients log all of
their smoking and craving events
2a post-quit phase where users receive dynamic support
messages and can continue to log craving events, and
should they occur, relapse events.
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Screenshots from the MapMySmoke app
One data entry screen and two visual summaries
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Validation – Phase 1
We have successfully deployed the MapMySmoke app in a
clinical setting within NHS Fife
MapMySmoke collects real-time data on smoking and craving
behaviour
Initial feedback indicates that use of the app helps make patients
more aware and helps them resist cravings
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Initial Results
The 10 consented patients have logged 124 craving events and
261 smoking events.
Patients using the MapMySmoke app have reported positive
feedback to Dr. Marston:
“The app is very useful in highlighting smoking behaviour–in
particular I found the heatmap the most helpful.”
“I like the app, and found that seeing a representation of my
smoking behaviour is both surprising and helpful.”
“Being asked to log my cravings has helped me resist
smoking.”
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Example Smoking Behaviour
Size of circle corresponds to level of satisfaction of each smoking event–larger circle means more satisfaction
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Data Security
MapMySmoke provides useful data for the patient & smoking
cessation team to monitor and plan.
Data can also be used to trigger interventions by health
psychology clinicians and/or primary care, who have access to
the entire personalised data.
Anonymised data is available for analysis by non-clinical
researchers investigating population-based issues.
Our privacy, confidentiality & information governance scheme
has been approved by the Public Benefit and Privacy Panel for
Health and Social Care, a governance structure of NHS Scotland.
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Dataflow Context Diagram
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Phase 1 Dissemination
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Validation – Phase 2
35 subjects, recruited from the Fife Health and Social Care
Partnership in August 2017
Interview with the Health Promotion professionals to arrange
quit dates, nicotine patches, etc.
Followed by installation of the MapMySmoke app,
demonstration of logging an event, check that the device UID is
associated with the test event
The Health Promotion have a record of all subject details, which
they can link to the device UID to monitor progress – the
collected data are anonymous to the app development and
analytics teams
Feedback on the app obtained at pre-arranged follow up
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Validation – Phase 2
Several issues arose:
Recruitment by canvassing people at a General Hospital is
maybe not optimal
Two techical discussions in succession was sometimes
confusing, leading to problems using the app
Many of the devices were old and damaged, leading to
performance problems
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Scottish Index of Multiple Deprivation
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Validation – Phase 2
We’ve started work on addressing these issues
Recruitment at walk-in sessions at Community Centres
One discussion about personalised smoking cessation,
followed by a later installation and demonstration of the app
We need to reverse-engineer some of the technical solutions
for older devices and operating systems
We have some existing funds, and are hoping for an additional
CSO award
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The value of Impact Acceleration
There is often a disconnect between the academic worlds and
real-life initiatives
IAA funding allows us to close this gap
Internships to update, revise and improve the code
Data security and analysis tools
Deployment with – and feedback from – members of the
general public
Close – and rewarding – collaboration between Health
Promotion professionals and academic researchers
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Thank You
Any questions?
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