WEB-RADR Use of mobile technologies and social media in - - PowerPoint PPT Presentation

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WEB-RADR Use of mobile technologies and social media in - - PowerPoint PPT Presentation

WEB-RADR Use of mobile technologies and social media in pharmacovigilance Smartphones and mobile apps 1.3 million apps available for 1.75 billion smartphones in use android users (1.2 million for worldwide iOS) 34.6 million in the


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Use of mobile technologies and social media in pharmacovigilance

WEB-RADR

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SLIDE 2

Smartphones and mobile apps

  • 1.75 billion smartphones in use

worldwide

  • 34.6 million in the UK
  • 62% of UK adults have a

smartphone

  • 24% also have a tablet
  • 1.3 million apps available for

android users (1.2 million for iOS)

  • Around 6,000 health related apps
  • NHS has its own app store
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Smartphones and mobile apps

  • 2.6 billion smartphones in use

worldwide

  • 37.8 million in the UK
  • 76% of UK adults have a

smartphone

  • 54% of households have a tablet
  • 1.6 million apps available for

android users (1.5 million for iOS)

  • Around 100,000 health related

apps

  • NHS has its own app store
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SLIDE 4

Social media

  • 1.49 billion active Facebook users
  • 1.3 billion on mobile devices
  • 65% log on every day
  • 35-54 largest age group
  • 304 million active Twitter

users

  • 80% active on mobile
  • 500 million tweets per day

worldwide

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SLIDE 5

WEB-RADR Consortium

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High level aims and deliverables

  • Patient/ HCP needs analysis for mobile reporting and receipt of feedback during first year
  • Initial mobile app developed by April 2015; enhancement based on user feedback

throughout the project

  • Off the shelf package implementation guide and interface available by the end of the project
  • Novel techniques for identification of safety data and signal detection/ evaluation in social

media between throughout the project

  • Social media analysis platform for the whole pharmacovigilance community by project close
  • Surveillance and communications policies based on robust scientific evaluation of the tools

developed

App Social media Scientific impact evaluation & policy

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SLIDE 7

Mobile Apps

  • UK App Launched in July by

the Minister for Life Sciences

  • Uptake is free to users
  • Dutch and Croatian apps in

development

  • Downloads:
  • iOS: 1030
  • Android: 406 (as of 1st October 2015)
  • Reports:
  • 39 Received (as of 16th October 2015)
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SLIDE 8

User evaluation

  • Identifying barriers and facilitators for

using mobile app

  • To report ADRs
  • For accessing drug (safety) information
  • Segmenting target groups
  • Patients: adolescents, orphan disease populations, elderly
  • Healthcare professionals
  • Targeted & differential app development
  • Validate in a range of settings
  • Lab based
  • Clinical settings
  • Surveys
  • Comparison to patient notes
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SLIDE 9

Feedback

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Enhancement requests

  • Unified login details
  • Push notifications
  • Enhancements to ADR details
  • More news content
  • Devices, Defects &

Counterfeits

  • Additional Monitoring status
  • All news option
  • Minor tweaks
  • Barcode scanning
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SLIDE 11

What is the value of social media?

Massive volume of discussion & patient- reported

  • utcomes

Expectatio n that someone is listening Unique stream

  • f intelligence

that is not necessarily captured in

  • ther data

sources Not intended to supplant traditional post-marketing surveillance 11

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Social Media Monitoring Platform

  • Social media monitoring and

analytics platform

  • Collects, aggregates,

classifies and visualizes public content from social media platforms describing adverse drug events

  • Designed to support post-

marketing drug safety surveillance

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Data flow: Data acquisition

Social ¡Data ¡

  • Public posts are

acquired from Facebook, Twitter and patient forums via Application Programming Interfaces (APIs), using medical product names as search terms.

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Data flow: Filtering

  • An algorithm trained to

recognize language that describes a possible adverse drug reaction classifies and filters the posts using a vernacular-to- regulatory dictionary.

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Data flow: Curation

Social ¡Data ¡

  • Human curation

further trains the classifier, improves symptom dictionary, ensures symptoms are attributed to appropriate product, and removes false positives.

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Data flow: Dissemination

Social ¡Data ¡ Filtering ¡ Curation ¡ Dashboard ¡

  • Aggregate and

granular data are disseminated and visualized in an interactive, web- based dashboard.

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Where are we now?

  • 188 products identified:
  • 13 therapeutic areas
  • 17 additional monitoring products
  • 5 orphan drugs
  • 15 biological medicines
  • Begun data collection:
  • 1,215,523 posts mentioning those products
  • 1,189,534 removed using “spam” filters
  • 25,989 “meaningful mentions”
  • 318 Proto-AEs
  • Initial dashboard developed
  • Gold standard reference set

developed to enhance analytics

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What might we find?

  • Consortium keen for global

applicability

  • Concordance with existing

data?

  • What else can social media

tell us

  • Abuse?
  • Misuse?
  • Counterfeit?
  • Geo pharmacovigilance a

possibility?

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SLIDE 23

Scientific Impact evaluation

Essential Aim: To determine whether novel media applications (apps and social media) add value to existing pharmacovigilance methodologies

  • Add information to the established

safety profile of a medicine

  • Enable earlier detection of new

signals

  • Reveal new patterns or trends in

reporting

  • Provide a means for geo-

pharmacovigilance

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SLIDE 24

Communication

Desire Response

  • Well understood that safety

messages may not reach those need them in the timeframes desired

  • Discussions with Healthcare professionals?
  • Healthcare professional letters?
  • Updates to product information?
  • Online information?
  • Ability to put such messages

directly in to the pockets of patients seems like a hugely powerful way to communication

  • Responsibility to test that

messages to have the desired impact; impact of language used?

  • Need to assess the reaction
  • f the public to receiving a

response

  • Via a mobile app?
  • Via Twitter?
  • Via Facebook?
  • Recommendations to be

developed based on robust science, and relevant legal/ ethical considerations

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More Questions for Pharmacovigilance

  • Who owns the data?
  • Legal and/or ethical

responsibilities

  • Is consent needed?
  • What are the legal & ethical

implications?

  • Do we listen only or intervene –

when?

  • Health responsibility vs privacy
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Summary

  • Traditional ADR reporting and signal

management methods are changing

  • New technologies offer new

possibilities

  • WEB-RADR seeks to investigate,

develop tools and recommend policy

  • Watch this space……
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Thank you. Questions?

Email: Phil.Tregunno@mhra.gsi.gov.uk WEB-RADR@mhra.gsi.gov.uk Website: http://web-radr.eu Twitter: @WEBRADR