Challenges Faced by Pharma Statistician in Local HTA Requirements

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Explore the challenges faced by the Pharma Statistician, Marie-Ange PAGET, in meeting local HTA requirements for generating evidence for Health Technology Assessment. The agenda includes discussions on HTA/reimbursement activities, decision-makers' roles, and tasks such as clinical development input, indirect comparisons, and economic modeling input. The context emphasizes the significance of local HTA and reimbursement decisions in Europe, featuring formats like NICE, SMC, HAS, and German templates.

  • Pharma Statistician
  • HTA requirements
  • Health Technology Assessment
  • Decision makers
  • Reimbursement

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  1. Meeting local HTA requirements Challenges for the Pharma HTA Statistician Marie-Ange PAGET Project Statistician Lilly France EFSPI meeting Generating evidence for Health Technology Assessment September 25th, 2014

  2. Disclaimer The views expressed herein represent those of the presenter and do not necessarily represent the views or practices of Eli Lilly 18/06/2025 2014 Eli Lilly and Company 2

  3. Agenda Introduction HTA/reimbursement activities for the statistician The context: local HTA Authorities Meeting local needs Conclusion 18/06/2025 2014 Eli Lilly and Company 3

  4. Introduction 18/06/2025 2014 Eli Lilly and Company 4

  5. Decision-makers on the road to market access (Eichler, 2010) 18/06/2025 2014 Eli Lilly and Company 5

  6. HTA/reimbursement activities for the statistician 18/06/2025 2014 Eli Lilly and Company 6

  7. HTA/reimbursement tasks for Stats 1. Clinical development input 2. Observational Research Design Before HTA submission Generalizability of Phase III results Understanding the burden of disease Post-registration commitment Comparator Inclusion & exclusion criteria Outcome Subgroup QoL /resource use /cost What are the health and cost consequences associated with this drug relative to other interventions in a defined group of patients? Interpretation and summary of all RCTs results 3. Indirect comparisons 4. Economic modelling input Systematic literature search Data extraction Meta-analysis Indirect comparisons Network Meta-Analyses Disease modelling Extrapolation of results beyond RCT duration Utilities, EQ-5D mapping Parameter input Cost data 18/06/2025 2014 Eli Lilly and Company 7

  8. The context 18/06/2025 2014 Eli Lilly and Company 8

  9. HTA/reimbursement in Europe: the context HTA / reimbursement decision is local HTA / reimbursement requirements are local Formats:NICE template, SMC template, HAS template, German template, Guidelines: NICE 2013 method guide, Technical Support Documents (NICE), IQWIG methodological guide, In a changing environment Germany: AMNOG came into January 2011 France: Economic dossier since October 2013 (if requested ASMR 1-3) UK: elements of VBP were implemented in 2014 with a will to harmonize EUnetHTA early dialogues 9 EUnetHTA guidelines but not yet harmonized 18/06/2025 2014 Eli Lilly and Company 9

  10. Different views from HTA bodies? Comparator: Standard of care, may include off-label use Methods: Indirect comparisons Presentation of the data Dossier templates Language A comparison of National Guidelines for Network Meta- Analyses. Lows, 2014 18/06/2025 2014 Eli Lilly and Company 10

  11. Meeting the local needs 18/06/2025 2014 Eli Lilly and Company 11

  12. Content of the HTA/reimbursement dossier Global dossier vs affiliate dossiers Addressing all needs? Addressing the first HTA submission? Addressing one specific submission? Be clear on what we plan, what we don t plan to do and the corresponding consequences Presenting clinical data Format with tables Language Pick and choose format Invest in writing 18/06/2025 2014 Eli Lilly and Company 12

  13. Subgroups Pre-planned subgroup analyses Guidelines interpretation Build your network 18/06/2025 2014 Eli Lilly and Company 13

  14. Indirect comparison: SR, MA, IC, NMA Updates Systematic Literature Search Data extraction Set up the analyses to allow other indirect comparisons Comparator May be different from one country to another Off-label use data may come from non-RCT EUnetHTA: #9 Preference should be given to the most transparent method Methods: Bayesian vs Frequentist Must be strong if there is clinical or technical reasons not to run an indirect comparison EUnetHTA: #2 only comparable studies should be combined 18/06/2025 2014 Eli Lilly and Company 14

  15. Observational research Understanding the local health care system and the different databases (often secondary databases) Important to have consistency across different studies Needs good local contacts Post-registration local needs and RMP need Important to have high levels of TA / product knowledge Needs good cross- functional contacts 18/06/2025 2014 Eli Lilly and Company 15

  16. Conclusion Stay consistent and scientifically sound Keep the methods simple if possible but be mindful of what is happening Be transparent Justify your choice, explain and invest in writing Optimize resources so that most of the needs (or the most important ones) are fulfilled Challenging, ever-changing environment Methods are important but soft skills are key such as working relationship, writing skills, and business understanding 18/06/2025 2014 Eli Lilly and Company 16

  17. Questions? 18/06/2025 2014 Eli Lilly and Company 17

  18. References Eichler H, Bloechl-Daum B, Abadie E, Barnett D, K nig F and Pearson S. Relative efficacy of drugs: an emerging issue between regulatory agencies and third-party payers. Nature reviews Drug Discovery Volume 9 April 2010: 277-291 Laws A, Kendall R, Hawkins N. A comparison of National Guidelines for Network Meta-Analysis. Value in health 17 (2014) 642-654 18/06/2025 2014 Eli Lilly and Company 18

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