16
Impact of Adaptive Clinical Trial Design on Market Authorization and Reimbursement Kristian Thorlund, PhD, MSc

Cadth 2015 e4 thorlund innovative trial designs in medical decision making

Embed Size (px)

Citation preview

Impact of Adaptive Clinical Trial Design on Market Authorization

and Reimbursement

Kristian Thorlund, PhD, MSc

2

Intro teaser

Ebola outbreak has now affected millions in Africa(since early 2014)

Discussions on best clinical trials design still ongoing

3

Intro teaser

Mar ’14: Investigate Multiple Exp Tx Aug ‘14: Parallel RCTs, adaptive too complex

Oct ‘14: Adaptive ideal… MSF/Welcome Trust pro no controlFDA/NIH pro control

4

Conclusion

Actions speak louder that words

Find a way to utilize innovative designs and study them in the process

Don’t just wait for them to be validated

5

Background

HTA decision-making is built on the conventional EBM paradigm putting large parallel design RCTs at the top of the evidence hierarchy

6

Background

The commercial clinical trials space has changed considerably over the past decade• Increased focus on sub-populations• Increased demand for trial patients• Absence of equipoise in commercial trials• Needs for fast evidence

7

Background

These changes has brought about a focus on efficient and innovative trials that do not lend themselves to conventional decision-making

8

Increasingly complex designs(innovative designs)

Kieseier BC et al. Mult. Scler 2014 [Epub ahead of print]

9Sandborn WJ et al Gastroenterol 2014; 146(1):96-109.

Increasingly complex designs(innovative designs)

10Feagan BG et al. NEJM 2013; 369:8

Innovativedesigns

11

Mismatches with HTA

• Commercial innovative trials typically lack long-term ‘pure’ placebo/control data or sufficient placebo/control data

• Experimental Tx data may not resemble approved Tx algorithms due to the dynamic nature of innovative trials

12

Misunderstandings in HTA

• No long-term comparative estimates equals mean no long-term cost-effectiveness equals no reimbursement decision (or a rejection)

• Sparse control data equals ‘p>0.05’ and therefore no difference

13

What can we do?

Educate & Innovate!

14

What can we do?

… and apply!

15

Conclusion (reiterated)

Actions speak louder that words

Find a way to utilize innovative designs and study them in the process

Don’t just wait for them to be validated

16

Thank you!