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Trial Forge: working together to make trials more efficient Shaun Treweek Twitter: @shauntreweek streweek@mac.com Health Services Research Unit University of Aberdeen HSRU is funded by the Chief Scientist Office of the Scottish Government


  1. Trial Forge: working together to make trials more efficient Shaun Treweek Twitter: @shauntreweek streweek@mac.com Health Services Research Unit University of Aberdeen HSRU is funded by the Chief Scientist Office of the Scottish Government Health Directorates. The author accepts full responsibility for this talk.

  2. Let’s do a trial

  3. Let’s do what we did last time.. ‘There is a peculiar paradox that exists in trial execution - we perform clinical trials to generate evidence to improve patient outcomes; however, we conduct clinical trials like anecdotal medicine: we do what we think works we rely on experience and judgement and.. limited data to support best practices.’ Monica Shah in ‘Site selection in global clinical trials in patients hospitalized for heart failure: perceived problems and potential solutions’. Heart Failure Review 2014; 19:135-52.

  4. And there’s more.. The way we design a trial often makes it hard to: do the trial convince others, especially those we hope will use the results, that those results are relevant

  5. Example 1: participants

  6. A strangely familiar graph.. !

  7. What helps recruitment?

  8. What helps recruitment? 3 things

  9. What helps retention?

  10. What helps retention? 3 things

  11. Example 2: data collection

  12. Example 2: data collection 3% on primary 12% on biomarkers 85% on secondaries

  13. Example 2: data collection 3% on primary 12% on biomarkers Primary = 81 hrs Biomarker = 324 hrs Secondaries = 2265 hrs Total = 2670 hrs 85% on secondaries A working year is about 1725 hrs

  14. Example 2: data collection 3% on primary 12% on biomarkers Primary = £2,106 Biomarker = £8,424 Secondaries = £58,890 Total = £69,420 85% on secondaries A research nurse costs around £26 per hour

  15. But we collect so much data..

  16. But we collect so much data.. 82% unused

  17. So, what to do?

  18. Trial Forge - simple steps to a big change

  19. Stuff you can use Telephoning people who do not respond to mailed invitations to take part in a trial probably increases recruitment.

  20. Stuff you can use Telephoning people who do not respond to mailed invitations to take part in a trial probably increases recruitment.

  21. Trial Forge demonstrators Design: matching design to intention Recruitment: how should we select sites for trials? Data collection: how much time do we spend collecting data? Studies within a trial (SWATs)

  22. Design: PRECIS-2 Who am I designing my trial for and what have I done to make sure they don’t have to dismiss my trial as irrelevant? Who are your users and what do they want? Kirsty Loudon, Stirling Loudon K, Treweek S, Sullivan F, Donnan P, Thorpe KE, Zwarenstein M. The PRECIS-2 tool: designing trials that are fit for purpose. BMJ 2015; 350: h2147–7.

  23. Design - ELIGIBILITY - Who is selected to participate in the trial? PRECIS 2 PRIMARY RECRUITMENT - 5 ANALYSIS - How are participants To what extent recruited into the are all data trial? included? 4 3 2 PRIMARY S E T T I N G - OUTCOME - W h e r e i s t h e t r i a l 1 How relevant is it to b e i n g d o n e ? participants? F O L L O W - U P - O R G A N I S A T I O N - r e H o w c l o s e l y a W h a t e x p e r t i s e a n d p a r t i c i p a n t s r e s o u r c e s a r e n e e d e d f o l l o w e d - u p ? t o d e l i v e r t h e i n t e r v e n t i o n ? FLEXIBILITY: FLEXIBILITY: DELIVERY - ADHERENCE - How should the What measures are in place intervention be to make sure participants delivered? adhere to the intervention?

  24. RECRUITMENT: how to select sites? Most trials need to select several sites Many of these will fail to do what they are supposed to do (especially recruit) Evidence on how to best select sites is thin Estimating Site Performance (ESP) study Kirsty Shearer, Seonaidh Cotton, Anne Duncan, Hanne Bruhn Aberdeen

  25. Data collection: time spent Where do we invest our time when collecting outcome data? Do we spend most of it on our most important outcomes? Me, Aberdeen & David Pickles, Leeds

  26. Example 2: data collection 3% on primary 12% on biomarkers Primary = 81 hrs Biomarker = 324 hrs Secondaries = 2265 hrs Total = 2670 hrs 85% on secondaries A working year is about 1725 hrs

  27. Filling evidence gaps: SWATs Mike Clarke, Belfast

  28. Summary • To a large extent, we do trials the way we do because that’s the way we do them. • The chances are that we can do better than this through more collaboration and coordination. • Through Trial Forge we want to move beyond saying how grim everything is and start working on solutions. • Join up! (or at least follow @Trial_Forge..)

  29. Time to consider new wheels..

  30. Thank you! http://trialforge.org Twitter: @Trial_Forge HSRU is funded by the Chief Scientist Office of the Scottish Government Health and Social Care Directorates. The author accepts full responsibility for this talk.

  31. The PS: crowdsourcing methodology research? How much time do we spend collecting trial outcome data?

  32. The PS: crowdsourcing methodology research? How much time do we spend collecting trial outcome data? Created page, tweet on 4/4; response on 5/4; project taken on 10/4. Now part of an MSc project.

  33. Protocol 2014: each measured twice

  34. Protocol 2014: each measured twice 1 measurement 17 measurements

  35. Protocol 2014: each measured twice 1 measurement 23 full days 17 measurements

  36. Protocol 2014: each measured twice 1 measurement 23 full days 17 measurements 276 full days

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