INBANK: a national musculoskeletal information platform

Transcription

INBANK: a national musculoskeletal information platform
INBANK
Alan Silman
Medical Director, Arthritis Research UK
Will Dixon
Scientific Lead for INBANK, The University of Manchester
18 May 2012
Outline
• What is INBANK?
• Rationale
• Infrastructure
- Informatics platform, biobanking, disease hubs
• How INBANK will be used for research
• Additional benefits
- Voting
• Next steps
• Clinical involvement
Why
INBANK
What is INBANK?
A national research infrastructure to facilitate
coordinated musculoskeletal research, including
i)
a searchable catalogue of extant studies and
ii)
a prospective research database
recruitment to bespoke studies
clinician- and patient-reported outcomes
biological samples
linkage to national datasets
-
Policy makers/
Regulators
Pharma
Patients
INBANK
Funders
Researchers
Clinicians/
Specialist
nurses
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Capturing Clinical Experience
• Specific patient groups for recruitment
• Outcome (‘natural history’)
• Response to therapy
- Overall
- Predictors
• Co-morbidity
- Disease related
- Treatment related
Current problems & barriers
Researcher/Funder
• Maximal use of existing resources
• Access to number of patients
• Approvals processes time-consuming
• Establishing infrastructure for multi-centre studies
daunting
• Standardisation/quality
- Clinical data
- Biological samples
Current problems & barriers
Clinician
• Bureaucracy
• Patient inclusion criteria
• Data capture in routine care
• ‘What’s in it for me/my Trust?’
Current problems & barriers
Specialist Nurses
• Data entry duplication
- Clinical care
- Audit
- Research
• Research data not available for clinical care
• Many different systems for different studies
- Electronic
- Paper-based
Current problems & barriers
Patients
• Desire to contribute to knowledge
• Unaware of their eligibility for existing
studies
• Feedback from real time research not
available
Options
• Do nothing
• Develop infrastructure that meets
these challenges
INBANK into
practice
Aims
1. Reducing barriers to research to increase
numbers of consented patients
2. Higher quality and breadth of coordinated data
3. Platform to translate results in clinical practice
Outline
• What is INBANK?
• Rationale
• Infrastructure
- Informatics platform, biobanking, disease hubs
• How INBANK will be used for research
• Additional benefits
- Voting
• Next steps
• Clinical involvement
INBANK infrastructure
Informatics platform
Disease hubs
Central biobanking
Progress
Last 12 months
• Scoping work by
- Informatics platform (NorthWest eHealth)
- Biobanking platform (UK Biocentre)
• Development of organisational structure
- Project team
- Project Steering Group
- Oversight and Governance Committee
Progress
March 2012
• Funding approval for first three years
Spring/ Summer 2012
• External commissioning of providers
• Development of disease hubs
Outline
• What is INBANK?
• Rationale
• Infrastructure
- Informatics platform, biobanking, disease hubs
• How INBANK will be used for research
• Additional benefits
- Voting
• Next steps
• Clinical involvement
Aims
1. Reducing barriers to research
- Enabling increased participation
- Widened access to shared resource
2. Higher quality and breadth of coordinated data
3. Platform to translate results in clinical practice
Enabling increased participation
Existing studies
• Signposting researchers to existing studies
Enabling increased participation
Existing studies
• Signposting researchers to existing studies
Removing barriers for participation
• INBANK ethics & CLRN approvals
• Single R&D approval per site
• Reducing burden of data entry
- Re-using data for multiple purposes and across studies
- Collecting electronic patient-reported outcomes
Widened access to shared resource
Clinical data
• Summary data available for clinicians
- Patient-level
- Across all clinicians’ patients
Anonymised datasets
• Access policy that promotes optimal widespread use of
pseudonymised data
• Ensuring optimal use and re-use of finite biological
samples
Aims
1. Reducing barriers to research
2. Higher quality and breadth of coordinated data
- Disease-specific information from
• Clinicians
• Patients
- Linkage to national datasets
3. Platform to translate results in clinical practice
Coordinated data collection
Minimum
Core
Dataset
+/- sample
Predictors of
treatment
response in RA
20--Epigenetic predictors
of disease severity
Minimum
Core
Dataset
Add-on study
Epigenetics
15---
Bolt-on dataset
10---
Recruitment
Progression
of RA-ILD
Minimum
Core
Dataset
Add-on study
PFTs
Bolt-on dataset
5--Predictors of
treatment
response in RA
Minimum
Core
Dataset
CV risk
factors
Imaging
Adverse
events
Lifestyle
factors
Food
diaries
Minimum
Core Dataset
PFTs
Epigenetics
DEXA
20---
15---
10---
5---
CPRD
(Clinical Practice
Research Datalink)
• Primary care
records
• Mortality
• Cancer register
• Hospital Episode
Statistics (HES)
• National audits
Patient-reported outcomes
• Data direct from the source
• Collect outcomes important to patients
• Informs consultation
• Reduces burden of clinician data entry
• Two-way communication
- Data collection
- Dissemination of knowledge
DANBIO
Courtesy of Merete Hetland
Aims
1. Reducing barriers to research
2. Higher quality and breadth of coordinated data
3. Platform to translate results in clinical practice
-
Existing tools
Future developments
eg FRAX
http://www.shef.ac.uk/FRAX/index.jsp
eg FRAX
http://www.shef.ac.uk/FRAX/index.jsp
Communicating benefits and harms
• Present benefits and harms together
• Combine numbers and stories
• Personalise risk using patient’s INBANK data
10 in 100 chance of nausea
What it feels like to have nausea
Outline
• What is INBANK?
• Rationale
• Infrastructure
- Informatics platform, biobanking, disease hubs
• How INBANK will be used for research
• Additional benefits
- Voting
• Next steps
• Clinical involvement
Additional benefits
• Presentation of some possible benefits
• Vote on importance of functionality after each
description
Additional benefits
Research
• Identifying patients for studies
Monitoring ARUK investment
Identifying patients for studies
• Declining UK involvement in pharmaceutical
trials
VOTE NOW
1–
• Feasibility tests
-
Very important
How many in INBANK
fulfil eligibility
criteria?
2 – Quite
important
How many of those consented to be approached?
3 - Not very important
• Practical local recruitment
- Generation of patient lists fulfilling criteria
Additional benefits
Research
• Identifying patients for studies
• Identifying studies for patients
Digital platform for translation of results
Clinical
Identifying studies for patients
• Automated matching of patient characteristics to
active studies
VOTE NOW
• Flagging studies for individual patients during
consultation
•
1 – Very important
Empowering patients to contribute to research
2
–
Quite
important
- What studies are they eligible for?
- Not very important
- What does it 3
involve?
- Where are they being run?
Additional benefits
Research
• Identifying patients for studies
• Identifying studies for patients
Clinical
• Presentation of longitudinal data (activity, Rx)
DANBIO
Courtesy of Merete Hetland
VOTE NOW
1 – Very important
2 – Quite important
3 - Not very important
DANBIO
Courtesy of Merete Hetland
Additional benefits
Research
• Identifying patients for studies
• Identifying studies for patients
Clinical
• Presentation of longitudinal data (activity, Rx)
• Summary data for clinicians (no patients
recruited)National audit
VOTE NOW
1 – Very important
2 – Quite important
3 - Not very important
Additional benefits
Research
• Identifying patients for studies
• Identifying studies for patients
Clinical
• Presentation of longitudinal data (activity, Rx)
• Summary data for clinicians (no patients recruited)
• National audit
reactions to policy Monitoring ARUK investment
20--National audit: early
inflammatory arthritis
Minimum
Core
Dataset
Add-on study
AHP
data
15---
Bolt-on dataset
10---
Recruitment VOTE
NOW
Minimum
Core
Dataset
1 – Very important
Add-on study
2 – Quite important
Bolt-on dataset
3 - Not very important
Progression
of RA-ILD
PFTs
5--Predictors of
treatment
response in RA
Minimum
Core
Dataset
Additional benefits
Research
• Identifying patients for studies
• Identifying studies for patients
Clinical
• Presentation of longitudinal data (activity, Rx)
• Summary data for clinicians (no patients recruited)
• National audit
Other stakeholders
• Adverse drug reactions to MHRAatasets to policy ARUK
investment
CV risk
factors
Lifestyle
factors
Imaging
VOTE NOW
Adverse
events
Minimum
1 – Very
important
Core Dataset
Food
DEXA
2 – Quite important
diaries
3- Not very important
PFTs
AHP visits
Additional benefits
Research
• Identifying patients for studies
• Identifying studies for patients
Clinical
• Presentation of longitudinal data (activity, Rx)
• Summary data for clinicians (no patients recruited)
• National audit
Other stakeholders
• Adverse drug reactions to MHRA
• Datasets to policy makers
Imaging
CV risk
factors
Lifestyle
factors
VOTE NOW
DAS
28
Adverse
events
1 – Very important
Food
DEXA
2 – Quite important
diaries
3- Not very important
Trans-hub:
EQ5D
Rx
PFTs
AHP visits
Request for input
Focus groups at the AGM
Tue 1st May
•
Campanile Hotel Glasgow
13.30 – 14.15
Clinicians
14.30 – 15.15
Specialist nurses
15.30 – 16.15
Clinicians
16.15 – 17.00
Researchers
Gillian Armitt & Hawys Williams
Wed 2nd May
•
SECC Carron 1
14.45 – 15.45
15.55 – 16.40
Researchers
Patients
Please book places at the Arthritis Research UK stand
Outline
• What is INBANK?
• Rationale
• Infrastructure
- Informatics platform, biobanking, disease hubs
• How INBANK will be used for research
• Additional benefits
- Voting
• Next steps
• Clinical involvement
Next steps
• Development of disease hubs
- Exemplar hub in inflammatory arthritis
- Steps for all hubs
• Developing data items and data entry screens
• Approvals (ethics, CLRN)
• Three clinical test sites
• Tendering process for informatics and biobanking
• Policy development
- Access & publication; ethics & governance
Development of disease hubs
• Arthritis Research UK Clinical Study Groups to hold
workshops
- To be advertised widely to academics and clinicians
- To identify
• Disease areas
• Primary research questions
• Hub leads
• Hub management teams
– Academics; Clinicians; AHPs; Patients
Outline
• What is INBANK?
• Rationale
• Infrastructure
- Informatics platform, biobanking, disease hubs
• How INBANK will be used for research
• Additional benefits
- Voting
• Next steps
• Clinical involvement
Clinical involvement
• Involvement in defining the user requirements
- Focus groups
- Email feedback
• Participation in the hub workshops
• Membership of Hub Management Teams
• Test Centre for specific hub
• Part of INBANK Network of Clinical Centres
Network of Clinical Centres
• R&D approval with support from INBANK
• Agreement to contribute data to high standard
• Easy to use system for data entry
• Patient reported outcomes collected directly
• Clear process for biological sample collection
• Easy access to individual and summary data
Outline
• What is INBANK?
• Rationale
• Infrastructure
- Informatics platform, biobanking, disease hubs
• How INBANK will be used for research
• Additional benefits
- Voting
• Next steps
• Clinical involvement
Acknowledgements
Project Steering Group
Local Management Team
•
Duncan Porter (chair)
•
Gillian Armitt (Project Manager)
•
Simon Bowman
•
Wendy Thomson (Biobanking)
•
David Ford
•
•
Hawys Williams (Ethics and Governance)
Ian Ford
•
Daniel Glaser
•
Judith Jones
•
Alex Macgregor
•
Ian Rowe
•
•
Oversight and Governance Committee
•
John Williams (chair)
•
Paul Burton
Matt Sims
•
George Davey-Smith
Peter Taylor
•
Charles Gutteridge
•
Sylvie Jackson
Arthritis Research UK
•
Graeme Laurie
•
•
Genevra Richardson
•
David Scott
Sarah Rudkin
Reminder - Focus groups
Tue 1st May
•
Campanile Hotel Glasgow
13.30 – 14.15
Clinicians
14.30 – 15.15
Specialist nurses
15.30 – 16.15
Clinicians
16.15 – 17.00
Researchers
Please book
places at the
Arthritis
Research
UK stand
Wed 2nd May
•
SECC Carron 1
14.45 – 15.45
15.55 – 16.40
Researchers
Patients
Email us at: InbankEnquiries@arthritisresearchuk.org