thank you for joining ismpp u today! · speakers for today • martha r. matteo, phd –academic...
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New Realities for Drug/DeviceDevelopment and Commercialization
Intelligence in Publication Strategy WebinarJune 18, 2008
Speakers for today
• Martha Matteo, PhD• Wayne Rosenkrans, PhD• Both:
– scientists with long history in pharma R&D andCompetitive Intelligence (CI)
– active in SCIP: BOD and Presidency– bring the CI perspective to this issue:
• what’s happening in the external environment?• what are the trends, possible disruptors, and alternate
futures?• fit with our Mission and Vision?• how do we assess our risk, prepare ISMPP members?
Speakers for today
• Martha R. Matteo, PhD– academic and industrial research and teaching– founded CTI function at global pharma company– active in academic/industry consortium (NYAS)– author, speaker on C(T)I
• Wayne Rosenkrans, PhD– strategic planning for both R&D and commercial pharma,
KM for CI initiatives– industry-relevant publishing– collaboration with care delivery systems for new
approaches to “Learning Healthcare Systems”– chair of the “Personalized Medicine Coalition” (gov’t,
providers, biopharma, Dx, insurers) and DistinguishedFellow, MIT
Role of ISMPP- Vision
to be the recognized and respectedauthority for the pharmaceutical,
biotech, and device industries medicalpublication profession.
Role of ISMPP- Mission
• Support medical publicationprofessionals: education/advocacy.
• Promote integrity and excellence:author and contributor transparency,open exchange of data.
• Be at the forefront of informationsharing and debate of medicalpublication issues ….
Today’s realities suggest issues for ISMPPto consider:
• Transparency: Actual authors?
• Bias: Trial design, reporting?
• Timeliness: Side-effect reports?
• Resulting public reaction: Hostile
… with implications for all players
• Rx and Dx companies: modification of trial design
and reporting?• FDA: post-market surveillance??• Journal publishers:
no change?reactive?proactive?
Goals for today
• Consider current situation in Rx/Dx relatedpublishing and challenges we face
• Consider trends, disruptors, and alternativefutures which could dramatically affect thecurrent business model
• Should / how can ISMPP prepare itsmembership for success in the short andlonger term?
• Next steps??
Dr. Rosenkrans will prepare usto discuss three scenarios:
• “Hard crank turning”…• “Revenge of Joe Public”…• “Brave new world”…
Dr. Wayne Rosenkrans:
“What about the future?”
• What is happening in the environment today tocreate very different realities for tomorrow?
• How will it impact ISMPP-relevant businessenvironment?
Re-evaluating the basic valueproposition…
Value in health care is often expressed asthe increment in clinical benefit achieved(health and/or quality of life improvement),for those receiving a particular service orset of services, in conjunction with theinvestment required.
…generates a new refrain inhealthcare
Pay for What Works
Eliciting a new series ofquestions
What works best? …for whom?
…under what circumstances?
That can be interpreted as
• What works best – comparative clinicaleffectiveness
• …for whom – personalized healthcare• …under what circumstances – real
world effectiveness
Its all about Evidence…
Identifying compelling needs
We need a learning healthcare system...
• A system in which evidence emergesas a natural by-product of the caredelivered
Identifying compelling needs
We need to start now to develop...
• Substantially enhanced capacity fordevelopment of evidence and guidance forclinical decision making
• Stronger incentives and tools for theapplication of proven services
• Effective communication for and betweenpatients and providers about the nature ofevidence and what it suggests
For product developers• New thinking is required
– The old hurdles…• Efficacy• Safety• Production assurance
…are no longer sufficient
– Three new hurdles must be cleared as well…• Effectiveness• Coverage• Reimbursement
…looking beyond market approval toward greaterembedment in clinical practice and attendantcommercial success.
…its all about evidence
• Innovation itself is no longer sufficient• The value of the innovation must be
proven:– In the clinic– With real patients– And real providers– In a cost effective way to demonstrate
• What works best• For whom• Under what circumstances
The generation of evidence…
Confirming real-world, comparative clinicaleffectiveness must be:• Core element of clinical development plans• Considered with input from the FDA and other entities, i.e.,
- Center for Medicare Services (CMS),- Agency for Healthcare Research in Quality (AHRQ)- Health Technology Assessment (HTA) at private payers.
The generation of evidence…
• Generating meaningful segmentationof patient populations, by whatevertechnology is appropriate (genomic,imaging, informatic), in order toincrease the benefit of therapy –
Personalized Healthcare
The generation of evidence…
Offers a unique opportunity to demonstrate:
What works bestFor whom
Under what circumstances
But traditional drug developmentwon’t get us there…
Traditional Development
Phase I Phase II
1 2 3 4 5 6 7 8 9 10 11 12
Phase III App Phase IV
Revenue with rapid and significantincrease in patient exposure
(17 mo) (30 mo) (27 mo) (11 mo)
(8y2m)
Duration based on 2001-2003 Industry Median (CMR)
Without breaking the bankAverage R&D costs per NCE drug launched
0
200
400
600
800
1000
1200
1400
1600
Year
$M (
in y
ear
2000
dol
lars
)
2000
80295Post-launch
costs
2003
1400R&D Heads@ IBC mtg
2003
1700Bain & CoDec 03
Historical data from DiMasi, Tufts Center for Drug Development
2010
2000Limited Comparative Effectiveness
2300Extensive Comparative Effectiveness
A new development paradigm isneeded
Therapydefined,
rolling NDA,disease
biomarkerdevel.
Trialsdesigned
withpayers ®ulators
Simulation–based
trialdesign
Adaptivepivotalstudies
Surrogateendpointsdelineatebenefit/
risk
IR – Initial Release FR – Full ReleaseBefore duration based on 2001-2003 Industry Median (CMR)
Future Development
FIM - POP POP –> Release Outcomes
Earlier revenue with more gradual increase inpatient exposure
(30 mo) (42 mo)
IR
(3 mo)(5y2m)
1 2 3 4 5 6 7 8 9 10 11 12
FR
Outcomes confirm surrogate hypothesis; reimbursementconfirmed; safety profile acceptable; alternative
evidence generation, continuous learning
Continuous Data Acquisition
“Development Never Stops”
Case Study – Informatic PHC
Can a large and fully integratedCan a large and fully integratedElectronic Health Record System (EHR)Electronic Health Record System (EHR)be used to demonstrate the value ofbe used to demonstrate the value ofantidiabeticantidiabetic therapy, in terms of therapy, in terms ofcomparative benefit and risk, in ancomparative benefit and risk, in anenvironment reflecting actual clinical useenvironment reflecting actual clinical useof the therapy?of the therapy?
Anil Jain, MD Copyright 2007, Cleveland Clinic
Clinical DataRepository
CCF-AZ DMData Set
Creating the Data Set…
CCF-AZDM
Definitions
SocialSecurity
Death Index
• CCF has utilized anEHR since 2000.
• EHR Tethered PHR• ePrescribing• Large Clinical Data
Repository– 3.5 million patients– 5 million
prescriptions– 89 million laboratory
results• Scope of Data
– Medications– Demographics– Diagnoses– Procedures– Laboratory– Imaging
•• CCF has utilized anCCF has utilized anEHR since 2000.EHR since 2000.
•• EHR Tethered PHREHR Tethered PHR•• ePrescribingePrescribing•• Large Clinical DataLarge Clinical Data
RepositoryRepository–– 3.5 million patients3.5 million patients–– 5 million5 million
prescriptionsprescriptions–– 89 million laboratory89 million laboratory
resultsresults•• Scope of DataScope of Data
–– MedicationsMedications–– DemographicsDemographics–– DiagnosesDiagnoses–– ProceduresProcedures–– LaboratoryLaboratory–– ImagingImaging
Abbreviation Class Examples
“Big” biguanides Glucophage(metformin)
“TZD” thiazolidinediones Avandia(rosiglitazone)
“SFU” sulfonylureas Glucotrol (glipizide)
Dphen & MegD-phenylalaninederivatives. AKA.Meglitinides
Starlix (nateglinide)
“AGI”Alpha-glucosidaseInhibitors
Precose (acarbose)
Medication Classes
Cohort
• >18 years old• Diagnosis of Diabetes in EHR.• Prescribed single oral hypoglycemic Agent.
– Patients with the metabolic syndrome andpolycystic ovarian syndrome excluded
– Patients on AGI excluded (n=146)
• Baseline = Earliest Date of HypoglycemicRX in a diabetic patient.
• Pts without follow-up were censored for alloutcomes except mortality.
Predictors
• Measurements: Lipids, BMI, BP, LVEF,Hba1c, eGFR, LFTs, Alb:Cr
• Medical History: CHF, Liver Disease, KidneyDisease, CAD, Stroke/TIA, Hepatitis B/C,Atrial Fibrillation, New Diabetic?
• Demographics: Age, Gender, Race• Oral Hypoglycemic Medication Class:• Meds: ACE / ARB, Cholesterol, ASA, Plavix
Outcomes
• Nephropathy• Renal Insufficiency• Mortality• Coronary Artery Disease• Stroke/TIA• Liver Injury• Heart Failure• Continuous Outcomes: BMI, Hba1c, LDL,
HDL, TG.
Statistical Methods
• Fit Cox and OrdinaryLeast Squaresmodels
• Created nomogramsfrom models
• Calculator createdusing modelcoefficients.
• Models validatedusing random sub-sample
Learning Decision Support
Learning Decision Support
Conclusions
• Models are very good at predicting clinicaloutcomes
• Models for predicting continuous outcomesare better than simply relying on baselinealone.
• Successful use of the EHR to predictoutcomes in type II diabetes
• Interactions allow for tailored treatmentbeyond AHRQ recommendations.
• Potential to extend these techniques to otherdiseases.
Next Steps for Pharma
• Acknowledge a new environment isemerging
• Rethink the old models– Research– Development– Commercialization
• Embrace the need for new business models
… or just keep turning the crank harder
What are the strategic implicationsinherent in the future ISMPP must
contemplate?
Worlds for ISMPP to consider:Scenario 1: Hard Crank Turning
• Companies set trial/label strategiesconsistent with intended label, incollaboration with the FDA.
• Companies decide what/where/when topublish
• Journals accept papers, subject to peerreview
• Reimbursers rely largely on published, peer-reviewed data for systematic review
Issues for ISMPP to consider:Scenario 2: Revenge of Joe Public
• In a continuing anti-pharma climate, HHSagencies demand “real-world comparativeeffectiveness” based upon “untainted” data
• Companies are advised that moretransparent trials, powered for comparativeassessment, will positively impactcompany’s reputation and help the industryas well– concerns about increased risk and cost– possible greater risk if eroding public
perception leads to less desirable policy
Issues for ISMPP to consider:Scenario 2: Revenge of Joe Public
Publishers raise hurdles (à la oncology)– Publishers assert influence over
quality/transparency of what they accept; institutetougher disclosure rules (authorship, conflict-of-interest, bias issues)
– Publishers demand comparative trials, whereappropriate; find peer reviewers who canevaluate whether trials are properly powered tojustify claims
Issues for ISMPP to consider:Scenario 2: Revenge of Joe Public
Will it work?• Can ISMPP members as a group have an
influence?• Will companies push back? Will it matter if
they do?• Will other means of sharing data emerge
that dramatically change role of ISMPPmembers?
Issues for ISMPP to consider:Scenario 3: Brave New World
Loss of data control by pharma to otherentities?
• Will FDA/NIH, partnered with professionalassociations/academia, expand internalcapacity and effectively remove pharma assponsors for market approval trials?
Issues for ISMPP to consider:Scenario 3: Brave New World
Loss of data control by pharma to otherentities?
• Will a new quasi-governmental agencypartnered with AHRQ, CMS, associations, andacademia conduct all primary research incomparative clinical effectiveness?
• Cost effectiveness?
Issues for ISMPP to consider:Scenario 3: Brave New World
Loss of data control by pharma to otherentities?
• Could a move toward a “Super Sentinel”learning healthcare system totally eliminate theRCT as we know it today in favor of adaptivetrials and modeling?
Issues for ISMPP to consider:Scenario 3: Brave New World
Loss of data control by pharma to otherentities?
• How would pharma adapt? Could pharma stillsponsor studies for market approval, but othersgenerate data for reimbursement?
… and who pays for all this anyway?
Issues for ISMPP to consider:Scenario 3: Brave New World
• Will there still be trials as we knowthem?
• Will results be published as discreteentities? Through what channels?
• What will reimbursement reform looklike?
Future strategic implicationsfor ISMPP to consider:
• Are the three scenarios all endpoints ofchange, or are they sequential states - dowe have to pass through 2 to get to 3?
• What is the likely trajectory and timing?• Is one more/less desirable than another
(think broadly)?• What are the indicators of change and how
will ISMPP monitor them?• What changes have to occur to move the
players forward into a desirable state, andcan ISMPP help to create those changes?
Dr. Martha R. Matteo, PhD
How can ISMPP help its members torecognize and prepare for change?
Questions to consider
• Considering ISMPP Vision andMission:– Can ISMPP help assure favorable future
for its members?– Assuming change, should ISMPP
influence the evolutionary process?– If so, how do we track and anticipate
these changes for ISMPP consideration?
CI Process
• Capture, define external trends• Define possible scenarios• Identify likely “indicators” of each scenario• Monitor the indicators and possible points of
influence (ongoing):– networking– literature– collaborations
• Analyze (periodically) and recommend
CI Process:ISMPP
• Internal sponsor– Executive Committee?
• Trend analysis, indicators, scenarios– research committee? consultant?
• Monitor the indicators and possible points ofinfluence (ongoing):– entire membership
• Analyze , recommend, educate– policy, executive and education
committee??
CI Process
• What networks should ISMPP and itsmembers join, to learn and contributeamong all the players…?
• Who specifically will coordinate theeffort of “environmental scanning andanalysis.”
• How will new strategies be formulated,approved, implemented and assessed?
Q&A Discussion
Thank-you
Wayne A. Rosenkrans, Jr., Ph.D.Chairman & President, Personalized Medicine Coalition
Distinguished Fellow, MIT Center for Biomedical InnovationSciTech Strategies
Martha R. Matteo, Ph.D.Board Member and 2007 President
Society of Competitive Intelligence ProfessionalsDirector, KM and R&D Planning
Boehringer Ingelheim Pharmaceuticals, Inc. (ret)[email protected]
Next ISMPP U
• Topic: Gap Analysis • Date: July 16
• Time: 12 Noon EST
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