Introduction to Patient-Reported Outcomes Measures (PROMs)
Date:
12/03/2015
Organised by:
York Health Economics Consortium - University of York
Presenter:
Dr Adam Smith
Level:
Intermediate (some prior knowledge)
Contact:
Alicia Wooding alicia.wooding@york.ac.uk
Description:
Patient-reported outcomes (PRO) are increasingly being used in clinical trials and research to capture patients’ experiences of interventions. PROs may provide critical information about symptoms, health-related quality of life (HRQOL), and the impact of treatments from the patients’ perspective. Recent regulatory guidelines from the US Food & Drug Administration (FDA) and the European Medicines Agency (EMA) have placed a greater emphasis of recording patient-reported outcomes through robust instruments.
This one-day course will provide attendees with a background to PROs and the instruments used to collect PRO data, including the development and validation of these instruments. Further topics that will be covered are the differences between disease and treatment specific PRO and generic instruments, electronic PROs, and regulatory interactions around the inclusion of PROs in clinical trials.
Course Trainer:
• Dr Adam Smith (Project Director) York Health Economics Consortium, University of York
By the end of the training day, participants will have:
An understanding of the basic concepts of Patient-reported outcomes;
An awareness of what makes PRO instruments fit for purpose;
An understanding of the role of PROs in clinical trials and regulatory interactions.
Who should attend?
The course is primarily aimed at the pharmaceutical industry and would be of benefit to those with little or no experience of patient-reported outcomes needing to learn more about PROs.
Cost:
£225 + VAT
Website and registration:
http://www.yhec.co.uk/training/patient-reported-outcomes/
Region:
Yorkshire and Humberside
Keywords:
Data Collection, Qualitative Data Handling and Data Analysis, patient reported outcomes measures, PROMS,
Related publications and presentations:
Data Collection
Qualitative Data Handling and Data Analysis