Feasibility assessment and recruitment using routine data sources: experience from the THRIVE trial Chris Bray & Rejive Dayanandan CTSU, University of.

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Presentation transcript:

Feasibility assessment and recruitment using routine data sources: experience from the THRIVE trial Chris Bray & Rejive Dayanandan CTSU, University of Oxford

The THRIVE trial (2007 – 2012) A randomised trial of the long term clinical effects of raising HDL cholesterol with extended release niacin/laropiprant Inclusion criteria – Age >50 – Prior history of vascular disease 25,000 participants randomized in 6 countries between April 2007 – July 2010, of whom 8000 were at 88 sites in the UK

“The study design is “streamlined”: extra work for collaborating doctors and hospitals has been kept to a minimum …” THRIVE recruitment strategy (UK): Coordinating Centre used EHR to identify and invite patients on behalf of local investigators. i.Initial data request to confirm feasibility – Did not require patient identifiable records ii.Follow-up request to proceed with invitations – Did require patient identifiable records

Initial request to confirm feasibility

Feasibility: Requesting initial data No local approvals required PI identifies appropriate data analyst Coordinating centre supplies data analyst with the data specification which details: – What codes (ICD/READ/OPCS) to search for – How far back to search – Age limits for eligibility – Data format (usually left to the analyst) – Medium for supply data Offer payment to cover costs

Feasibility: What is requested

Feasibility: Example of analyst output ConsultantGMC CodeCountMain Specialty Dr. J. HartC Cardiology Prof. G. JohnsonC Cardiology Dr. L. BainesC Cardiology Dr. S. GerrardC Gastroenterology Dr. G. CahillC General Medicine Prof. P. JagielkaC Cardiology Dr. J. WilshereC Gastroenterology Dr. F. LampardC General Medicine Dr. D. SturridgeC Cardiology Dr. W. RooneyC General Medicine Prof. D. WelbeckC General Medicine Dr. C. SmallingC Cardiology Prof. J. HendersonC Gastroenterology

Initial request to confirm feasibility Assessment includes Analyst response time & comms Data quantity Data quality Review by local investigator

Feasibility: Turnaround time for initial data request Fastest 15 days Slowest 17 months Average 100 days

Proceeding to invitations

Invitation: Data requested Essential data items: – Patient name (surname, forename) – Patient address (preferably including postcode) – Sex – Date of birth – Name of consultant clinician (or code with relevant key) – National code number of patient’s general practitioner (or name and address if code not available) Desirable data items: – Patient’s title – NHS number – Date of hospital admission – Vital status at discharge (alive/dead) – All discharge diagnoses (not just those on which the search was carried out)

Invitation: Data supply times Time taken between sending request for full data and the data being marked as "OK" at the Coordinating Centre: – Fastest 10 days – Slowest 7.5 months – Average 60 days

Pros & Cons* Minimal site involvementReliance on Trust systems and analysts Can run in parallel with site set-upHigher ‘screen failure’ rate Improved recruitment management: Vulnerable to changes in data protection legislation keep screening clinics busyPotential to upset patients invited reliable predictionsDeclining response rate to letters targeted recruitment optionsNeeds large pool of pts to invite *vs leaving it to the local investigator and staff to identify and invite patients to attend screening visits

Invitation trends THRIVE Recruiting Invited230,000 Screened24,000 10% HPSSEARCH Recruiting Invited131,00083,000 Screened64,00035,000 49%42% REVEAL ,000 19,000 6%

Summary EHR were used (by the Coordinating Centre, on behalf of the local investigator) as part of the site feasibility assessment and subsequently to invite patients to attend screening visits – Minimal input from site staff; so activities can start before they have been appointed and then continue in parallel – Large numbers of patients can be invited Challenges for this recruitment model include – Decreasing response rate – Public acceptance – Legal/regulatory issues (Section 251; EU data protection regulation)

Acknowledgement We would like to thank the administrators, data analysts and clerical staff at the THRIVE Coordinating Centre at CTSU, Oxford, who kept the 88 THRIVE sites in the UK topped-up with patients to screen until they reached the national target of 8000 randomized participants.