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NCRN Data Systems for Clinical Trials

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Trials funded by CRUK, DoH, LRF or MRC, or approved by CTAAC. Well-designed trials, peer reviewed, ... Collate Accrual figures. NCRN Key performance indicator ... – PowerPoint PPT presentation

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Title: NCRN Data Systems for Clinical Trials


1
NCRN Data Systems for Clinical Trials
Monica Jones Information Systems (IS)
Manager 0113 39 27549 m.jones_at_ncrn.org.uk
2
Database(s) of Cancer Trials Trials Portfolio
Accrual Databases
3
NCRN Trials Portfolio Database - Data Flows
4
NCRN Trials Portfolio Database - Functions
  • Information on the NCRN Portfolio of Trials
  • Trials funded by CRUK, DoH, LRF or MRC, or
    approved by CTAAC.
  • Well-designed trials, peer reviewed, large phase
    II/phase III, comprehensive coverage
  • Networks derive local portfolios from national
    portfolio
  • Collate Accrual figures
  • NCRN Key performance indicator
  • National and local performance management

5
NCRN Trials Portfolio Database - Accrual
  • To provide a single point of access to
    information on patient accrual into NCRN
    Portfolio Trials (including Adopted).
  • Simplifies data flows between NCRN constituent
    organisations (Networks CTUs)
  • Fosters standardisation of accrual data
  • Powerful performance management tool at both
    network and national level.
  • Measure of NCRN effectiveness
  • Identification of Trials or Networks recruiting
    well/poorly
  • Predictor of trends in Trials accrual

6
Cancer site priority areas for all 34 Cancer
Research Networks
   
7
National accrual into NCRN portfolio trials as a
percentage of cancer incidence
   
8
NCRN Accrual by Network 2002/3and 2003/4

9
 Accrual into NCRN portfolio trials in Cancer
Centres compared with Cancer Units
Number of Patients Recruited
10
  • Electronic Remote Data Capture (eRDC) Programme

11
  • The completed CRF is sent to the trials unit by
    post
  • The form is date stamped and verified to check
    the information is valid and complete
  • The information is entered onto the database via
    the computer
  • The information on the computer is checked
    against the paper CRF
  • Missing, and invalid data fields are returned to
    the researcher for chasing up

Trials Unit
12
  • Data is entered at source, into the system
    through a web browser
  • This can be checked in real-time by the Trial
    Coordinator
  • Messaging enables data chasing to be done quickly
    and cheaply

13
eRDC Stage 1 Pilot Project
  • Proof of Concept
  • Functional Evaluation
  • Hardware Software Requirements
  • Data Transfer
  • Access via Mobile / Wireless devices
  • Benchmarking
  • Recommendations

14
Benefits of eRDC
  • Cut the time involved in Case Report Form (CRF)
    authoring, database development and protocol
    launch
  • Use of data validation to minimise data
    discrepancies and data queries
  • Reduction in need for data entry, postage and
    storage of paper CRFs
  • Better use of highly qualified computer
    programmers
  • Reduce time to data locking and number of
    monitoring visits required
  • Data available in real time for interim analysis
    and review
  • Maintenance of a full audit trail
  • Transfer risk and demonstrate value for money
    by utilising a secure hosted service managed by a
    proven commercial partner

15
Proof of Concept
Study design
CTRU University of Leeds
16
(No Transcript)
17
Functional Evaluation
CTRU (Leeds)
NCRN CC (Leeds)
Experiences from proof of concept
RDC Functionality, Adherence to Legislation
(ICH GCP, EU Directive)
CDMS Functional Requirements
18
Assessed Functionality
  • Study Definition
  • Remote Data Entry
  • Discrepancy Management
  • Reusable Component Library
  • System Administration

Demonstrated Functionality
  • Randomisation
  • Batch loading
  • Reporting
  • Import / Export
  • Source Data Verification
  • Thesaurus Management

19
Feedback from Users
  • Access / Usability issues from Research Nurses
  • Logging On / Set-up Easy
  • Using the System Easy
  • Resolving Discrepancies Easy / Medium
  • Experience with OC_RDC Medium (For Reasons of
    Familiarly and Frequency of Use)
  • Access to computers Difficult in majority of
    cases
  • Technical / Usability Issues from Study
    Developers
  • Logging on/Set up Easy
  • Study Development Difficult
  • Handling Data Medium
  • Connectivity Quick
  • GUI Functionality Navigation poor, Skipping
    painful
  • Comparison with other products - Worse

20
Benchmarking
21
Conclusions Recommendations
  • Proved eRDC can work in NCRN structure
  • Managed Service via Secure Application Block
    (SAB) satisfies security and DPA requirements
    encrypted data transfer via NHSNet (N3)
  • Zero client required for deployment to remote or
    portable input devices. Must be entirely
    web-enabled
  • Proceed with a Stage II Pilot to provide
    scalability across multi-centre / multi-trials
    and demonstrate full benefits of eRDC via
    measurable outcomes
  • Demonstrate open architecture / platform
    independent application / use of data
    standardisation and dictionaries

22
Stage 2 eRDC Pilot
  • Multi-Centre (30)
  • Multi-Unit (6)
  • Multi-Trial (8)
  • including
  • early phase trial whole eCRFs flexibility
  • Non-oncology to demonstrate generic applicability
  • Mixed Modality (Chemotherapy, Radiotherapy,
    Surgical)
  • 2/3 New trials 5/6 existing trials cover
    whole trial life events
  • UK-Wide trials to reflect maturing organisation

Scalability
23
Preferred eRDC Application
Single Platform solution for full lifecycle
design, development, testing and execution of
clinical trials operated entirely through a thin
browser internet / Intranet connection. Ensures
stability, security and extensibility of the
system and allows leveraging technologies such as
XML and Web Services natively.
24
Issues to be aware of
  • Any national system will have to link to NPfIT
    programme (including accreditation process) so
    need to design in links
  • Relying on access to NHSNet / N3 and H/W so need
    to have an easily deployable system
  • Interoperability with existing systems i.e.
    randomisation
  • Opportunity to demonstrate data standardisation
    (need appropriate funding from beginning)
  • Need to establish principles and processes of
    electronic remote data capture across the NCRN
    without getting hung up on one particular
    application / data hosting solution
  • Must have measurable outcomes (defined up front)
    to have a genuine set of metrics to compare with
    other possible solutions

25
NCRN / CancerGRID Collaboration
  • WP 4 (from Apr 06) will consist of
  • Assessment of CancerGRID deliverables in
    particular the suitability for deployment across
    the NCRN
  • A demonstration that the existing trials
    databases, including those captured
    electronically (eRDC), can be integrated using
    e-Science / GRID technology with appropriate
    confidential and protected databases within which
    analysis may be carried out
  • If suitable the creation of virtual generic
    national cancer clinical trials system based
    around these systems (merging of projects)

26
  • Any
  • Questions ?
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