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Author: Council for International Organizations of Medical Sciences (CIOMS)
Publisher: Cioms
ISBN: 9789290360827
Category : Drug monitoring
Languages : en
Pages : 0
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Book Description
In recent years public expectations for rapid identification and prompt management of emerging drug safety issues have grown swiftly. Over a similar timeframe, the move from paper-based adverse event reporting systems to electronic capture and rapid transmission of data has resulted in the accrual of substantial datasets capable of complex analysis and querying by industry, regulators and other public health organizations. These two drivers have created a fertile environment for pharmacovigilance scientists, information technologists and statistical experts, working together, to deliver novel approaches to detect signals from these extensive and quickly growing datasets, and to manage them appropriately. In following this exciting story, this report looks at the practical consequences of these developments for pharmacovigilance practitioners. The report provides a comprehensive resource for those considering how to strengthen their pharmacovigilance systems and practices, and to give practical advice. But the report does not specify instant solutions. These will inevitably be situation specific and require careful consideration taking into account local needs. However, the CIOMS Working Group VIII is convinced that the combination of methods and a clear policy on the management of signals will strengthen current systems. Finally, in looking ahead, the report anticipates a number of ongoing developments, including techniques with wider applicability to other data forms than individual case reports. The ultimate test for pharmacovigilance systems is the demonstration of public health benefit and it is this test which signal detection methodologies need to meet if the expectations of all stakeholders are to be fulfilled.
Author: Council for International Organizations of Medical Sciences (CIOMS)
Publisher: Cioms
ISBN: 9789290360827
Category : Drug monitoring
Languages : en
Pages : 0
Get Book Here
Book Description
In recent years public expectations for rapid identification and prompt management of emerging drug safety issues have grown swiftly. Over a similar timeframe, the move from paper-based adverse event reporting systems to electronic capture and rapid transmission of data has resulted in the accrual of substantial datasets capable of complex analysis and querying by industry, regulators and other public health organizations. These two drivers have created a fertile environment for pharmacovigilance scientists, information technologists and statistical experts, working together, to deliver novel approaches to detect signals from these extensive and quickly growing datasets, and to manage them appropriately. In following this exciting story, this report looks at the practical consequences of these developments for pharmacovigilance practitioners. The report provides a comprehensive resource for those considering how to strengthen their pharmacovigilance systems and practices, and to give practical advice. But the report does not specify instant solutions. These will inevitably be situation specific and require careful consideration taking into account local needs. However, the CIOMS Working Group VIII is convinced that the combination of methods and a clear policy on the management of signals will strengthen current systems. Finally, in looking ahead, the report anticipates a number of ongoing developments, including techniques with wider applicability to other data forms than individual case reports. The ultimate test for pharmacovigilance systems is the demonstration of public health benefit and it is this test which signal detection methodologies need to meet if the expectations of all stakeholders are to be fulfilled.
Author: Anoop Kumar
Publisher: CRC Press
ISBN: 104011265X
Category : Medical
Languages : en
Pages : 301
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Book Description
This book provides detailed concepts and information on principles and processes of signal analysis in pharmacovigilance along with case studies. It covers the fundamental concepts and principles of pharmacovigilance, emphasizing the need for robust signal detection and analysis methods. The book reviews the diverse array of databases and tools employed for signal detection, including electronic health records (EHRs), social media mining, claims data, and distributed data networks. In turn, the book discusses the application of molecular dynamics, molecular docking, and the use of the FDA Adverse Event Reporting System (FAERS) database in signal analysis. Toward the end, the book explores the identification, validation, and assessment of signals associated with vaccines. This book is useful for graduate, post-graduate students of pharmaceutical sciences, and scientists in pharmacology research and drug development.
Author: Elizabeth B. Andrews
Publisher: John Wiley & Sons
ISBN: 1118820142
Category : Medical
Languages : en
Pages : 878
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Book Description
Highly Commended at the BMA Medical Book Awards 2015 Mann’s Pharmacovigilance is the definitive reference for the science of detection, assessment, understanding and prevention of the adverse effects of medicines, including vaccines and biologics. Pharmacovigilance is increasingly important in improving drug safety for patients and reducing risk within the practice of pharmaceutical medicine. This new third edition covers the regulatory basis and the practice of pharmacovigilance and spontaneous adverse event reporting throughout the world. It examines signal detection and analysis, including the use of population-based databases and pharmacoepidemiological methodologies to proactively monitor for and assess safety signals. It includes chapters on drug safety practice in specific organ classes, special populations and special products, and new developments in the field. From an international team of expert editors and contributors, Mann’s Pharmacovigilance is a reference for everyone working within pharmaceutical companies, contract research organisations and medicine regulatory agencies, and for all researchers and students of pharmaceutical medicine. The book has been renamed in honor of Professor Ronald Mann, whose vision and leadership brought the first two editions into being, and who dedicated his long career to improving the safety and safe use of medicines.
Author: Megna Bali
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Signal detection is a critical part of the overall risk management process and has evolved quite significantly over the last few years. Various signal detection methods have been developed and applied to probe the adverse event databases to identify identification of disproportionality in the particular drug adverse event pairs. It is quintessential to accurately track and manage signals keeping in view the growing importance of stringent regulations across the globe. Signals in pharmacovigilance have a variety of sources. Pharmacovigilance may not rely upon one single method, but needs a strategy of complementary activities. Statistical data mining approaches have been developed and applied in the field of drug safety surveillance, adding to the toolkit of pharmacovigilance professionals. The study revealed that no statistical methods or algorithms would replace the importance of medical and scientific judgment of trained pharmacovigilance professionals. There is no single right approach that would be optimal for all medicinal products in all situations. It is necessary to find an optimum balance, not just with regard to the use of statistics (Frequentist vs Bayesian) but also among thresholds used for signal detection. A number of investigations explored whether differences exist between Frequentist and Bayesian approaches and found that PRR is more sensitive than MGPS, although the estimation from the MGPS is believed to be more robust when the number of reports is small. Further development of statistical methods and technological solutions to analyse large amounts of data to detect signals for potential safety issues, while minimizing noise, would enhance the efficiency and effectiveness of pharmacovigilance activities. Overall, data derived from DMAs should be considered with caution and guided by appropriate clinical evaluation. This clinical perspective should always be considered to support really appropriate drug use, balancing drug effectiveness, safety and, above all, actual patientsu2019 needs. The statistical procedures underlying contemporary data mining cannot offset the limitations of spontaneous reporting system data. Qualitative medical review and assessment are indispensable to guide the quantitative analysis and evaluation. As the amount of information increases, codifying human expertsu2019 tacit reasoning and consistent application of sound pharmacovigilance logic become more and more important in supporting proactive and scalable safety surveillance.
Author: Elizabeth B. Andrews
Publisher: John Wiley & Sons
ISBN: 0470671041
Category : Medical
Languages : en
Pages : 878
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Book Description
Highly Commended at the BMA Medical Book Awards 2015 Mann’s Pharmacovigilance is the definitive reference for the science of detection, assessment, understanding and prevention of the adverse effects of medicines, including vaccines and biologics. Pharmacovigilance is increasingly important in improving drug safety for patients and reducing risk within the practice of pharmaceutical medicine. This new third edition covers the regulatory basis and the practice of pharmacovigilance and spontaneous adverse event reporting throughout the world. It examines signal detection and analysis, including the use of population-based databases and pharmacoepidemiological methodologies to proactively monitor for and assess safety signals. It includes chapters on drug safety practice in specific organ classes, special populations and special products, and new developments in the field. From an international team of expert editors and contributors, Mann’s Pharmacovigilance is a reference for everyone working within pharmaceutical companies, contract research organisations and medicine regulatory agencies, and for all researchers and students of pharmaceutical medicine. The book has been renamed in honor of Professor Ronald Mann, whose vision and leadership brought the first two editions into being, and who dedicated his long career to improving the safety and safe use of medicines.
Author: Yaser Mohammed Al-Worafi
Publisher: Academic Press
ISBN: 0128204125
Category : Medical
Languages : en
Pages : 656
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Book Description
Drug Safety in Developing Countries: Achievements and Challenges provides comprehensive information on drug safety issues in developing countries. Drug safety practice in developing countries varies substantially from country to country. This can lead to a rise in adverse reactions and a lack of reporting can exasperate the situation and lead to negative medical outcomes. This book documents the history and development of drug safety systems, pharmacovigilance centers and activities in developing countries, describing their current situation and achievements of drug safety practice. Further, using extensive case studies, the book addresses the challenges of drug safety in developing countries. - Provides a single resource for educators, professionals, researchers, policymakers, organizations and other readers with comprehensive information and a guide on drug safety related issues - Describes current achievements of drug safety practice in developing countries - Addresses the challenges of drug safety in developing countries - Provides recommendations, including practical ways to implement strategies and overcome challenges surrounding drug safety
Author: Agency for Healthcare Research and Quality/AHRQ
Publisher: Government Printing Office
ISBN: 1587634333
Category : Medical
Languages : en
Pages : 385
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Book Description
This User’s Guide is intended to support the design, implementation, analysis, interpretation, and quality evaluation of registries created to increase understanding of patient outcomes. For the purposes of this guide, a patient registry is an organized system that uses observational study methods to collect uniform data (clinical and other) to evaluate specified outcomes for a population defined by a particular disease, condition, or exposure, and that serves one or more predetermined scientific, clinical, or policy purposes. A registry database is a file (or files) derived from the registry. Although registries can serve many purposes, this guide focuses on registries created for one or more of the following purposes: to describe the natural history of disease, to determine clinical effectiveness or cost-effectiveness of health care products and services, to measure or monitor safety and harm, and/or to measure quality of care. Registries are classified according to how their populations are defined. For example, product registries include patients who have been exposed to biopharmaceutical products or medical devices. Health services registries consist of patients who have had a common procedure, clinical encounter, or hospitalization. Disease or condition registries are defined by patients having the same diagnosis, such as cystic fibrosis or heart failure. The User’s Guide was created by researchers affiliated with AHRQ’s Effective Health Care Program, particularly those who participated in AHRQ’s DEcIDE (Developing Evidence to Inform Decisions About Effectiveness) program. Chapters were subject to multiple internal and external independent reviews.
Author: Pro- Career Net
Publisher:
ISBN: 9781708812607
Category :
Languages : en
Pages : 40
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Book Description
Signal Detection & Pharmacovigilance AnalyticsAlgorithms, Tools, Process & Methods
Author: Gary W. Saunders
Publisher:
ISBN:
Category : Adverse Drug Reaction Reporting Systems
Languages : en
Pages : 792
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Book Description
Author: Michael J. Klepper
Publisher: Jones & Bartlett Publishers
ISBN: 1449671551
Category : Medical
Languages : en
Pages : 332
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Book Description
Drug Safety Data: How to Analyze, Summarize and Interpret to Determine Risk was selected for The First Clinical Research Bookshelf - Essential reading for clinical research professionals by the Journal of Clinical Research Best Practices. Drug Safety Data: How to Analyze, Summarize and Interpret to Determine Risk provides drug safety/pharmacovogilance professionals, pharmaceutical and clinical research scientists, statisticians, programmers, medical writers, and technicians with an accessible, practical framework for the analysis, summary and interpretation of drug safety data. The only guide of its kind, Drug Safety Data: How to Analyze, Summarize and Interpret to Determine Risk is an invaluable reference for pre- and post-marketing risk assessment. With decades of pharmaceutical research and drug safety expertise, authors Dr. Klepper and Dr. Cobert discuss how quality planning, safety training, and data standardization result in significant cost, time, and resource savings. Through illustrative, step-by-step instruction, Drug Safety Data: How to Analyze, Summarize and Interpret to Determine Risk is the definitive guide to drug safety data analysis and reporting. Key features include: * Step-by-step instruction on how to analyze, summarize and interpret safety data for mandatory governmental safety reports * Pragmatic tips...and mistakes to avoid * Simple explanations of what safety data are collected, and what the data mean * Practical approaches to determining a drug effect and understanding its clinical significance * Guidance for determining risk throughout the lifecycle of a drug, biologic or nutraceutical * Examples of user-friendly data displays that enhance safety signal identification * Ways to improve data quality and reduce the time, resources and costs involved in mandatory safety reporting * Relevant material for the required training of drug safety/pharmacovigilance professionals * SPECIAL FEATURE: Actual examples of an Integrated Analysis of Safety (IAS) -used in the preparation of the Integrated Summary of Safety (ISS) and the Summary of Clinical Safety (SCS) reports -, and the Periodic Safety Update Report (PSUR)
