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The only way
is mobile
Sarah Morley Debora Corfield
Business Intelligence Manager Research Director
Boehringer Ingelheim UK SKIM
Drug forecasting in the age
of personalised medicine
The only way is mobile
An innovative approach to drug forecasting – in-
the-moment mobile research enables collection
of robust data close to the point of prescription.
Drug forecasting in the age of personalised medicine
Setting the context…
Crowded markets, increasingly diverse patient groups
Setting the context…
Crowded markets, increasingly diverse patient groups
Forecast gets
more difficult
No more
generalisation
Conventional methods don’t cut it
Over-generalisation or excessive cognitive burden compromise data
Too simple Too complex
Who cares about cognitive burden?
Daniel Kahneman does…
System 1 Fast
Intuition
Emotions
System 2 Slow
Rational thinking
Critical mind
VS
The answer to 2 + 2
Detect that one object is
more distant than another
Complete the phrase
“bread and …”
Read words on
large billboards
Playing chess
(if you're Garry Kasparov)
The answer to 17 x 24
Fill out a
tax form
Complete a complex market
research survey
Focus on the voice of a particular
person in a crowded room
Playing chess
(if you're Debora Corfield)
What about RX?
System 2 activity
slow
System 1 activity
fast
- Emotions wear off
- Recall fades
- Answer solely based on rational factors (e.g. hard clinical facts)
+ Based on more softer factors
+ Easier to recall why
+ Answer based on a combination of soft (irrational) and hard (rational) factors
OCCURRENCE MEASUREMENT
OCCURRENCE MEASUREMENT
The only way
is mobile
Account for complexity simply
Simplify data collection, but account for market complexity
1 2 3 4
15 minute
online survey
Forms via
Direct mail
Respondents
use mobile app
Audio recording
after 2 weeks
Placeholder for
example screens
Simplify data collection, but
account for market complexity
Actual patients, no generalisation
Collection of focussed, relevant information
Individual, unique & representative data
Valid outcomes
Collection of focussed, relevant information
EGFR+ EGFR+
7%
18%
12%
31%
8%
17%
5%
10%
5%
3%
8%
9%
3%
3%
3%
3%
3%
7%
3%
7%
4%
4%
4%
4%
15%
16%
16%
19%
5%
5%
6%
8%
34%
5%
37%
6%
6%
15%
6%
16%
0%
20%
40%
60%
80%
100%
2nd line adeno
EGFR+
2nd line adeno
EGFR-
/untested
2nd line adeno
EGFR+
2nd line adeno
EGFR-
/untested
Product L
Product K
Other chemo
Product J
Product I
Product H
Product G
Product F
Other
Product A
Product B
Product D
Product E
Core forecast data gathered
Robust forecasting based on high sample of cases
7%
18%
8%
17%
5%
10%
5%
3%
3% 5%
3%
3%
3%
7%
3%
7%
4%
4%
4%
4%
18% 23%
15%
16%
8%
8%
5%
5%
44%
7%
34%
5%
16%
49%
6%
15%
0%
20%
40%
60%
80%
100%
2nd line adeno
EGFR+
2nd line adeno
EGFR-
/untested
2nd line adeno
EGFR+
2nd line adeno
EGFR-
/untested
Product L
Product K
Other chemo
Product J
Product I
Product H
Product G
Product F
Other
Product A
Product B
Product D
Product E
All 4 new
products
launched
Patientshares(secondline
adenocarcinoma)
Current Market Future Market Future Market
Patient data gives further insight
Collection of focussed, relevant information
10%
4%
13%
25%
11% 9%
17% 26%
25%
22%
25%
18% 21%
42% 34%
50%
67%
38%
21%
31%
31%
36%
13% 11% 13%
50%
39%
0%
20%
40%
60%
80%
100%
Product E
Product D
Product B
Product A
11% 10% 7%
32%
22%
7%
18%
34% 64%
39%
35%
21%
0%
20%
40%
60%
80%
100%
ECOG 0 ECOG 1 ECOG 2
Product E
Product D
Product B
Product A
Patient data gives further insight
Collection of focussed, relevant information
8% 10% 13%
18%
23%
23%
33%
30%
51%
100%
41% 37%
13%
0%
20%
40%
60%
80%
100%
Younger than 60 years 60 - 70 years 71 - 80 years 81 - 90 years
Product E
Product D
Product B
Product A
Qualitative data provides depth
Collection of focussed, relevant information
60%
40%
0%
0%
0%
13%
0% 20% 40% 60%
(Very) Good
OS/PFS
Good safety profile
Good experience in
Melanoma
No Docetaxel: wide
applicability
It is a single agent
Oral formulation
advantageous
17%
7%
0%
0%
0%
0%
0% 20% 40% 60%
33%
17%
0%
0%
0%
0%
0% 20% 40% 60%
33%
20%
23%
10%
13%
0%
0% 20% 40% 60%
Product E Product A Product B Product D
Qualitative data provides depth
Collection of focussed, relevant information
Physicians are
impressed with
Nintedanib’s efficacy
Nivolumab
innovative therapy
with good efficacy
(in melanoma)
Business impact
TBD
80%
Business impact
TBD
Nintenadib
Nivolumab
Communication
 Better forecasting
 Higher level of respondent engagement
Business impact
TBD
increase in
confidence
at every level
Benefits…
Robust data – patient records
without associated problems
Applications in market potential,
segmentation, Tx pathway
Less post-rationalisation responses
close to point of prescription
Accounts for indications with wide variety of patient types, or highly
individualised treatment (e.g. biomarker-based treatment)
Practical considerations
Some
over-recruitment
needed
Incentives to
maximise
participation
Not necessarily
cheaper than
current methods
Questions this approach
can answer
What is the patient share for each currently available agent/regimen?
Which patient types get which currently available agents/regimens?
What patient characteristics are correlated with different Tx options?
What is the future patient share of your new product & key competitors?
What patient characteristics correlate with your product &
how does this differ from key competitors?
What do physicians think of new agents after having reviewed them extensively?
With these answers you can
do the following
Model future
scenarios
Generate
ideas
Update your
product sales
forecast
Questions?

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Drug Forecasting in the Age of Personalized Medicine – The Only Way is Mobile!

  • 1. The only way is mobile Sarah Morley Debora Corfield Business Intelligence Manager Research Director Boehringer Ingelheim UK SKIM Drug forecasting in the age of personalised medicine
  • 2. The only way is mobile An innovative approach to drug forecasting – in- the-moment mobile research enables collection of robust data close to the point of prescription. Drug forecasting in the age of personalised medicine
  • 3. Setting the context… Crowded markets, increasingly diverse patient groups
  • 4. Setting the context… Crowded markets, increasingly diverse patient groups Forecast gets more difficult No more generalisation
  • 5. Conventional methods don’t cut it Over-generalisation or excessive cognitive burden compromise data Too simple Too complex
  • 6. Who cares about cognitive burden? Daniel Kahneman does… System 1 Fast Intuition Emotions System 2 Slow Rational thinking Critical mind VS
  • 7. The answer to 2 + 2 Detect that one object is more distant than another Complete the phrase “bread and …” Read words on large billboards Playing chess (if you're Garry Kasparov) The answer to 17 x 24 Fill out a tax form Complete a complex market research survey Focus on the voice of a particular person in a crowded room Playing chess (if you're Debora Corfield)
  • 8. What about RX? System 2 activity slow System 1 activity fast
  • 9. - Emotions wear off - Recall fades - Answer solely based on rational factors (e.g. hard clinical facts) + Based on more softer factors + Easier to recall why + Answer based on a combination of soft (irrational) and hard (rational) factors OCCURRENCE MEASUREMENT OCCURRENCE MEASUREMENT
  • 10. The only way is mobile
  • 11. Account for complexity simply Simplify data collection, but account for market complexity 1 2 3 4 15 minute online survey Forms via Direct mail Respondents use mobile app Audio recording after 2 weeks
  • 12. Placeholder for example screens Simplify data collection, but account for market complexity
  • 13. Actual patients, no generalisation Collection of focussed, relevant information Individual, unique & representative data
  • 14. Valid outcomes Collection of focussed, relevant information EGFR+ EGFR+
  • 15. 7% 18% 12% 31% 8% 17% 5% 10% 5% 3% 8% 9% 3% 3% 3% 3% 3% 7% 3% 7% 4% 4% 4% 4% 15% 16% 16% 19% 5% 5% 6% 8% 34% 5% 37% 6% 6% 15% 6% 16% 0% 20% 40% 60% 80% 100% 2nd line adeno EGFR+ 2nd line adeno EGFR- /untested 2nd line adeno EGFR+ 2nd line adeno EGFR- /untested Product L Product K Other chemo Product J Product I Product H Product G Product F Other Product A Product B Product D Product E Core forecast data gathered Robust forecasting based on high sample of cases 7% 18% 8% 17% 5% 10% 5% 3% 3% 5% 3% 3% 3% 7% 3% 7% 4% 4% 4% 4% 18% 23% 15% 16% 8% 8% 5% 5% 44% 7% 34% 5% 16% 49% 6% 15% 0% 20% 40% 60% 80% 100% 2nd line adeno EGFR+ 2nd line adeno EGFR- /untested 2nd line adeno EGFR+ 2nd line adeno EGFR- /untested Product L Product K Other chemo Product J Product I Product H Product G Product F Other Product A Product B Product D Product E All 4 new products launched Patientshares(secondline adenocarcinoma) Current Market Future Market Future Market
  • 16. Patient data gives further insight Collection of focussed, relevant information 10% 4% 13% 25% 11% 9% 17% 26% 25% 22% 25% 18% 21% 42% 34% 50% 67% 38% 21% 31% 31% 36% 13% 11% 13% 50% 39% 0% 20% 40% 60% 80% 100% Product E Product D Product B Product A 11% 10% 7% 32% 22% 7% 18% 34% 64% 39% 35% 21% 0% 20% 40% 60% 80% 100% ECOG 0 ECOG 1 ECOG 2 Product E Product D Product B Product A
  • 17. Patient data gives further insight Collection of focussed, relevant information 8% 10% 13% 18% 23% 23% 33% 30% 51% 100% 41% 37% 13% 0% 20% 40% 60% 80% 100% Younger than 60 years 60 - 70 years 71 - 80 years 81 - 90 years Product E Product D Product B Product A
  • 18. Qualitative data provides depth Collection of focussed, relevant information 60% 40% 0% 0% 0% 13% 0% 20% 40% 60% (Very) Good OS/PFS Good safety profile Good experience in Melanoma No Docetaxel: wide applicability It is a single agent Oral formulation advantageous 17% 7% 0% 0% 0% 0% 0% 20% 40% 60% 33% 17% 0% 0% 0% 0% 0% 20% 40% 60% 33% 20% 23% 10% 13% 0% 0% 20% 40% 60% Product E Product A Product B Product D
  • 19. Qualitative data provides depth Collection of focussed, relevant information Physicians are impressed with Nintedanib’s efficacy Nivolumab innovative therapy with good efficacy (in melanoma)
  • 21. Business impact TBD Nintenadib Nivolumab Communication  Better forecasting  Higher level of respondent engagement
  • 23. Benefits… Robust data – patient records without associated problems Applications in market potential, segmentation, Tx pathway Less post-rationalisation responses close to point of prescription Accounts for indications with wide variety of patient types, or highly individualised treatment (e.g. biomarker-based treatment)
  • 25. Questions this approach can answer What is the patient share for each currently available agent/regimen? Which patient types get which currently available agents/regimens? What patient characteristics are correlated with different Tx options? What is the future patient share of your new product & key competitors? What patient characteristics correlate with your product & how does this differ from key competitors? What do physicians think of new agents after having reviewed them extensively?
  • 26. With these answers you can do the following Model future scenarios Generate ideas Update your product sales forecast