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01: ClinSafety-PV [clear filter]
Sunday, June 23
 

9:00am

SC20: #20: Real World Evidence Studies to Evaluate the Safety and Effectiveness of Therapeutic Interventions – Is the Data Fit for Purpose and How Will You Know?
Component Type: Tutorial
CE: ACPE 3.25 Knowledge UAN: 0286-0000-19-500-L04-P; CME 3.25; IACET 3.25; RN 3.25

This course will provide an overview of how real-world evidence is being used today for evidence generation in major markets. The primary focus is evidence generation for regulatory use, with a particular focus on comparative effectiveness, but the approaches described here are useful for health technology assessments for payers. Following the major points identified by the FDA in the Frameworks document released in December, 2019, we will explain how the fitness of evidence from real-world data are assessed for any use case, key elements of design and analysis, and the current status of FDA guidance on when real-world studies will be sufficient to meet regulatory evidence requirements. Although much of the focus will be on the FDA, the course will also include an update of recent activities by the EMA regarding use of real-world (big) data. An additional registration fee is required for all preconference short courses. Back to DIA 2019 Short Courses

Who should attend?

This short course is designed for members of the Clinical Research and Regulatory audiences.

Learning Objectives

At the conclusion of this course, participants should be able to:
  • Describe key epidemiological design principles central to interpreting the quality and validity of RWE studies;
  • Apply these learnings by evaluating and discussing case presentations focused on CV safety assessments;
  • Recognize when RWE based approaches are of sufficient quality to enable decision making.



Speakers
avatar for Brian Bradbury

Brian Bradbury

Executive Director & Head, Data and Analytics, Center for Observational Research, Amgen, Inc.
Brian D. Bradbury is Executive Director in the Center for Observational Research (CfOR) at Amgen, Inc, and an Adjunct Assistant Professor of Epidemiology at UCLA. He leads a team of epidemiologists, biostatisticians, data scientists and programmers who use real-world data (RWD) to... Read More →
avatar for Nancy Dreyer

Nancy Dreyer

Chief Scientific Officer & Senior Vice President, IQVIA
Nancy Dreyer is chief scientific officer and SVP at IQVIA. She focuses on generating real-world evidence for regulators, clinicians, patients and payers through pragmatic trials and non-interventional approaches. She is a Fellow of both DIA and the Int’l Society of Pharmacoepidemiology... Read More →
avatar for Jessica Franklin

Jessica Franklin

Assistant Professor of Medicine, Div of Pharmacoepidemiology and Pharmacoeconomi, Brigham and Women's Hospital and Harvard Medical School
Jessica Franklin, PhD, is an Assistant Professor of Medicine at Harvard Medical School and biostatistician in the Division of Pharmacoepidemiology and Pharmacoeconomics at Brigham and Women’s Hospital. Her research focuses on developing and applying statistical methods for the study... Read More →
avatar for Paul Muntner

Paul Muntner

Professor of Epidemiology and Associate Dean for Research, University of Alabama at Birmingham
Paul Muntner is Associate Dean for Research and Professor of Epidemiology at the University of Alabama at Birmingham. He earned a Master’s degree in biostatistics and a doctorate degree in epidemiology from the Johns Hopkins University. Since 2014, he has served as Co-Director of... Read More →


Sunday June 23, 2019 9:00am - 12:30pm
Room 1AB San Diego Convention Center 111 W Harbor Drive, San Diego, CA 92101 USA
  • Level Intermediate
  • Featured Topics Real World Evidence
  • Credit Type ACPE, CME, IACET, RN
  • Tags Tutorial

9:00am

SC40: #40: Interdisciplinary Safety Evaluation During Product Development
Component Type: Tutorial
CE: ACPE 6.50 Knowledge UAN: 0286-0000-19-517-L04-P; CME 6.50; IACET 6.50; RN 6.50

CIOMS VI (2005) states that “causality judgments based on analysis of multiple cases/aggregate data are almost always more meaningful and typically have a greater impact” (than the traditional case-based medical review). The FDA IND safety reporting final rule reflects that position by requiring an expedited IND safety report whenever aggregate analysis indicates that events occur more frequently in the drug treatment group than in a concurrent or historic control group. Further guidance has outlined how early planning for assessment of emerging safety signals and review of aggregated safety data throughout the development program should be driven by multi-disciplinary safety management teams (SMTs). Following product launch, connection of pre-launch investigations to data sources and analytics post-market enable ongoing surveillance, signal detection, and evaluation of benefit-risk. This short course will provide a systematic, coordinated approach to identify, assess and characterize safety topics of interest that enables investigators to develop clinical as well as quantitative understanding of the safety profile. Focus will target the application of appropriate statistical techniques with a safety mindset, as opposed to strict statistical inference, with the emphasis shifted from testing and confirming to exploration, learning, and medical decision-making within a quantitative framework. The goal is to empower the broader cross-disciplinary, cross-regional community to discover and promote practical quantitative solutions for safety evaluation during throughout the product life-cycle. Audience participation will be highly encouraged. This short course will present the work that has been done by the DIA-ASA Interdisciplinary Safety Evaluation scientific working group, TransCelerate, and ICH. An additional registration fee is required for all preconference short courses. Back to DIA 2019 Short Courses

Who should attend?

This short course is designed for individuals from industry and regulatory agencies who practice in the areas of patient safety and pharmacovigilance. Specifically, individuals who routinely evaluate information and perform tasks such as signal detection, signal evaluation, benefit-risk assessment to determine the safety of products in development and on-market are the target for this proposed short course.

Learning Objectives

At the conclusion of this course, participants should be able to:
  • Examine the global regulatory landscape for interdisciplinary safety evaluation;
  • Develop an aggregate safety assessment planning (ASAP) process;
  • Execute ongoing aggregate safety evaluation (OASE), including: Blinded vs. unblinded analyses, static vs. dynamic assessments, and visual analytic methods, integration of data sources and analysis methods.



Speakers
avatar for Greg Ball

Greg Ball

Senior Principal Biostatistician, Merck & Co., Inc.
Dr. Greg Ball’s current research on blinded safety monitoring procedures emerged from his early work at academic medical centers and CROs, developed into his college dissertation and continues to be developed in collaboration with statistical and clinical scientists from several... Read More →
avatar for Jacqueline Corrigan-Curay

Jacqueline Corrigan-Curay

Director, Office of Medical Policy, CDER, FDA
Jacqueline Corrigan-Curay, J.D., M.D., serves as Director of the Office of Medical Policy (OMP) in the Center for Drug Evaluation and Research, FDA. OMP is comprised of the Office of Prescription Drug Promotion (OPDP) and the Office of Medical Policy Initiatives (OMPI). Dr. Corrigan-Curay... Read More →
avatar for Jeremy Jokinen

Jeremy Jokinen

Senior Director, Decision Sciences, AbbVie, Inc.
Jeremy is the Senior Director, Decision Sciences, within the Safety Sciences organization of AbbVie Inc. In this role, he leads a team of data scientists, statisticians, and data managers developing novel approaches and methodologies to improve patient safety. Jeremy has over 20 years... Read More →
avatar for James Buchanan

James Buchanan

Drug Safety Consultant, Covilance LLC
Dr. Buchanan has been in the pharmaceutical industry working in drug safety for over 30 years. He started his career at Genentech and led the drug safety departments at a number of subsequent companies, Gilead Sciences, Tularik and Nuvelo, before serving as the head of the medical... Read More →


Sunday June 23, 2019 9:00am - 5:00pm
Room 11A San Diego Convention Center 111 W Harbor Drive, San Diego, CA 92101 USA

9:00am

SC42: #42: Patient Preferences: Using Conjoint Analysis and Stated Preferences in Drug Development and Regulatory Decision Making
Component Type: Tutorial
CE: ACPE 6.50 Application UAN: 0286-0000-19-519-L04-P; CME 6.50; IACET 6.50; RN 6.50

The need to understand patient preferences for health and healthcare has become well established and demand for stated preference studies has grown exponentially in recent years. This short course is designed as an introduction to a range of stated-preference methods and the application of these methods in drug development, regulatory decision-making, and patient advocacy. The short course will also provide an overview of good research practices and principles that are broadly applicable to all stated-preference methods and describe how good research practices can be applied to discrete choice experiments and several other stated-preference methods. Topics to be covered will include designing a survey, developing an experimental design, analyzing data, and presenting results. This short course will include hands-on exercises and detailed case studies of recent empirical examples to illustrate concepts. An additional registration fee is required for all preconference short courses. Back to DIA 2019 Short Courses

Who should attend?

This introductory to mid-level course designed to acquaint attendees with the current state of the art in the use of methods for the development of evidentiary patient preference information. Expected attendees may include: industry, regulators, payers, patients and patient advocacy representatives.

Learning Objectives

At the conclusion of this course, participants should be able to:
  • Identify when & how to successfully develop and present patient preference information for use in a range of applications, including regulatory interactions such as new drug applications;
  • Discuss specific methodologies frequently used in the development of patient preference information.



Speakers
avatar for Rachael DiSantostefano

Rachael DiSantostefano

Senior Director, Benefit Risk, Epidemiology, Janssen Research & Development, LLC
Rachael L. DiSantostefano, MS PhD, is a Senior Director of Benefit-Risk in the Epidemiology Department within Janssen Pharmaceuticals, R&D, LLC. She has 25 years of pharmaceutical research experience across the quantitative disciplines of epidemiology, biostatistics, and health outcomes... Read More →
avatar for Brett Hauber

Brett Hauber

Senior Economist, Vice President of Health Preference Assessment, RTI Health Solutions
Brett Hauber is Senior Economist and Vice President of Health Preference Assessment at RTI Health Solutions and Affiliate Associate Professor in the School of Pharmacy at the University of Washington. His is an expert in stated-preference methods. He was principal investigator for... Read More →
avatar for Carol Mansfield

Carol Mansfield

Senior Economist and Head, Health Preference Assessment, RTI Health Solutions
Carol Mansfield, PhD, is a Senior Economist and Head in the Health Preference Assessment group at RTI-HS, where she conducts stated-preference studies for pharmaceutical applications. She has 25 years of experience conducting research related to health and the environment. She has... Read More →
CP

Christine Poulos

Senior Research Economist and Head, Health Preference Assessment, RTI Health Solutions
avatar for Kristin Bullok

Kristin Bullok

Benefit-Risk Management Scientist, Global Patient Safety, Eli Lilly and Company
Kristin Bullok, PhD, is a research scientist in benefit-risk management at Eli Lilly and Company, Global Patient Safety. Since joining Lilly, she has years of combined experience in conducting structured benefit-risk assessments, consulting on patient preference trade-off studies... Read More →


Sunday June 23, 2019 9:00am - 5:00pm
Room 11B San Diego Convention Center 111 W Harbor Drive, San Diego, CA 92101 USA

1:30pm

SC30: #30: Machine Learning in Pharmacovigilance
Component Type: Tutorial
CE: ACPE 3.25 Knowledge UAN: 0286-0000-19-509-L04-P; CME 3.25; IACET 3.25; RN 3.25

Since machine learning (ML) requires resources from across the organization, this course is designed for anyone interested in sponsoring or joining a ML project within their organization which focuses on pharmacovigilance (PV). Therefore, we will specifically explore ML and its application within the PV regulatory landscape and provide a high-level introduction to ML, including tools and project tips. The core of the course will also dive deeper into applications within PV, including examples from our own experiences with ICSR identification, and discussion around what the future of ML in PV could look like. There will be time for Q&A but this years course will also be very interactive between the instructors and attendees, with both questions and some relevant tool demonstrations. An additional registration fee is required for all preconference short courses. Back to DIA 2019 Short Courses

Who should attend?

This short course is designed for members of Pharma, Academia, Regulators, and Medicine interested in Machine Learning in PV.


Learning Objectives

At the conclusion of this course, participants should be able to:
  • Identify advances that make ML practical;
  • Describe how ML can be applied to the regulatory and PV landscape;
  • Develop potential future use cases for ML in PV.



Speakers
avatar for Robert Ball

Robert Ball

Deputy Director, Office of Surveillance and Epidemiology, CDER, FDA
Robert Ball MD, MPH, ScM is Deputy Director, Office of Surveillance and Epidemiology (OSE), Center for Drug Evaluation and Research (CDER), FDA. Dr. Ball shares in the responsibilities for leading OSE staff evaluating drug risks and promoting the safe use of drugs by the American... Read More →
avatar for Shaun Comfort

Shaun Comfort

Principal Medical Director, Genentech, A Member of the Roche Group
Dr. Comfort is Principal Medical Director for Roche in the Inflammatory, Infectious Disease, and Ophthalmology Safety Science group and leads innovation work supporting Pharmacovigilance. He is a Board Certified Neurologist with 16 years combined industry/regulatory experience including... Read More →
avatar for Bruce Donzanti

Bruce Donzanti

Senior Group Director, Global Pharmacovigilance Innovation Policy, Genentech, A Member of the Roche Group
Bruce has a PhD in pharmacology/neuroscience with almost 30 years of experience in the pharma/biotech industry. Prior to industry, he performed research on mechanisms of neuronal degeneration and neurotoxicology and lectured in neuropharmacology to graduate and medical students while... Read More →
avatar for Mick Foy

Mick Foy

Head of Pharmacovigilance Strategy, Vigilance Intelligence, and Research Group, Medicines and Healthcare Products Regulatory Agency (MHRA)
Mick Foy is Head of Pharmacovigilance Strategy at the MHRA. Among is responsibilities is the running of the UK ADR reporting system and signal detection activities. Mick is also leads the MHRA's work with WHO and the Bill and Melinda Gates Foundation on capacity building in low and... Read More →


Sunday June 23, 2019 1:30pm - 5:00pm
Room 5AB San Diego Convention Center 111 W Harbor Drive, San Diego, CA 92101 USA
  • Level Intermediate
  • Featured Topics Artificial Intelligence
  • Credit Type ACPE, CME, IACET, RN
  • Tags Tutorial

1:30pm

SC36: #36: A Novel Interactive Safety Graphic to Evaluate Potential Drug-Induced Hepatotoxicity
Component Type: Tutorial
CE: ACPE 3.25 Application UAN: 0286-0000-19-515-L04-P; CME 3.25; IACET 3.25; RN 3.25

The DIA-ASA Biopharm Safety Evaluation Working Group is developing a series of novel interactive safety graphic tools to enhance the ability of safety and clinical development professionals to identify and evaluate safety signals. Each will be made available as an open-source, non-proprietary application widely available to anyone interested in drug safety evaluation. An open source project like this will likely result in a longer-lasting software solution. The first tool to be released is designed to explore cases of potential drug-induced hepatotoxicity based on the eDISH plot developed by FDA. Building upon the existing static eDISH plot, the tool allows the user to dynamically adjust laboratory thresholds to account for disease states with elevated transaminase and bilirubin values, modify the time dimension for the occurrence of peak ALT/AST and bilirubin values, account for the extent of alkaline phosphatase elevation, with filters for treatment assignment, gender, race and age group. Cases that appear in the potential Hy’s Law, Temple’s corollary and hyperbilirubinemia quadrants can be individually explored to detail the time course of changes in various analytes, and assess the concurrence with adverse events and the exposure to concomitant medications. In order to assist the safety reviewer, a workflow is provided to guide the user through the recommended analyses, using the features of the tool, for each of the quadrants of interest. The workflow is based on evaluations supported by expert hepatologists and the medical literature. The short course will demonstrate the functions of the tool by way of case examples exploring various hepatotoxicity signals. Prior attendees of the DIA Advanced Signal Detection course will find this course builds upon the concepts presented in that course, but it is not a prerequisite for attending this class. In addition, information will be provided on how attendees can implement this RShiny/JavaScript tool in their organizations. An additional registration fee is required for all preconference short courses. Back to DIA 2019 Short Courses

Who should attend?

This short course is designed for professionals involved in:
  • Clinical safety and pharmacovigilance
  • Pharmacoepidemiology
  • Biostatistics
  • Benefit-risk management
  • Clinical development
  • Data scientists
  • Information technology supporting pharmacovigilance activities


Learning Objectives

At the conclusion of this course, participants should be able to:
  • Evaluate the potential for drug-induced hepatotoxicity with a new open-source, interactive safety graphic based on the eDISH plot;
  • Assess cases of potential Hy’s Law, Temple’s corollary and hyperbilirubinemia with respect to lab changes, clinical symptoms and identify possible confounding elements;
  • Perform analyses with a work-flow procedure based on established medical precedent.



Speakers
avatar for James Buchanan

James Buchanan

Drug Safety Consultant, Covilance LLC
Dr. Buchanan has been in the pharmaceutical industry working in drug safety for over 30 years. He started his career at Genentech and led the drug safety departments at a number of subsequent companies, Gilead Sciences, Tularik and Nuvelo, before serving as the head of the medical... Read More →
avatar for Jeremy Wildfire

Jeremy Wildfire

Senior Data Scientist, Rho, Inc.
I have worked as a biostatistician for the NIAID funded Inner City Asthma Consortium (ICAC) for nearly 10 years. My work with ICAC has included the development of the Composite Asthma Severity Index, the first quantitative measure of asthma severity, and the analysis of multiple late-stage... Read More →


Sunday June 23, 2019 1:30pm - 5:00pm
Room 2 San Diego Convention Center 111 W Harbor Drive, San Diego, CA 92101 USA
  • Credit Type ACPE, CME, IACET, RN
  • Tags Tutorial