Introduction to Patient-Reported Outcomes (PROs)

Date:

17/03/2020

Organised by:

York Health Economics Consortium

Presenter:

Dr Andria Hanbury, Dr Adam Smith

Level:

Entry (no or almost no prior knowledge)

Contact:

Niki Baines, 01904323204, niki.baines@york.ac.uk

Map:

View in Google Maps  (YO10 5DD)

Venue:

University of York

Description:

Patient-reported outcome measures (PROMs) are increasingly being used both in the pharmaceutical industry, as well as in the National Health Service (NHS) and the public sector to capture the impact of healthcare interventions from the patient perspective.

PROMs have their distinct use in the private and public sector. For instance, in sponsored clinical trials PROMs may be used to capture potential patient benefits of new medicinal products. On the other hand within the NHS, patient-reported outcomes and experiences are routinely recorded for a number of surgical procedures to measure the impact and quality of care received, on health-related quality of life (HRQoL). However, despite these differences there is a considerable degree of overlap in the use of PROMs in these sectors.

This one-day course will provide attendees with a background to PROMs and their use in the pharmaceutical and public sector with an overview on differences, as well as synergies.

Further topics that will be covered are:

• The instruments used to collect PROM data, including the development and validation of these instruments
• The differences between disease and treatment specific PROMs and generic instruments
• Electronic PROMs
• An overview of the key areas of interaction between PROMs, healthcare agencies, service provision and commissioning

We ask that you bring your own laptops to this course. If you do not have access to a laptop, please contact Niki (Training Course Administrator).

Cost:

Early bird: £240
Full price: £300

Website and registration:

Region:

Yorkshire and Humberside

Keywords:

Frameworks for Research and Research Designs, Data Collection, Data Quality and Data Management , Qualitative Data Handling and Data Analysis, Quantitative Data Handling and Data Analysis, Mixed Methods Data Handling and Data Analysis, Research Management and Impact, Research Skills, Communication and Dissemination

Related publications and presentations:

Frameworks for Research and Research Designs
Data Collection
Data Quality and Data Management
Qualitative Data Handling and Data Analysis
Quantitative Data Handling and Data Analysis
Mixed Methods Data Handling and Data Analysis
Research Management and Impact
Research Skills, Communication and Dissemination

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