• Research examines how patients value the ways in which support for self-management of chronic pain is made personal to them, using discrete choice methodology.
  • Led by Dr Christopher Burton, University of Aberdeen.
  • Completed in early 2016.

Chronic pain is common, with effective self-management strategies moderating its impact. Indeed, support for self-management by healthcare providers is increasingly promoted in guidelines and policy statements. However, there remains a paradox, in that while much self-management takes place by the individual and emphasises what works for them in their personal context, most support for self-management is delivered in standardised ways, with an emphasis on correcting generic deficits in knowledge, thinking or behaviour.

This research has examined how patients value the ways in which SSM is made personal to them as individuals. The research team underook a discrete choice experiment (DCE) involving adults with chronic pain.

This research goes beyond existing DCE studies of preferences in service delivery; self-efficacy; and pain impact, in that it has examined how people with chronic pain value the ways in which SSM is personalised to enable them to be the best they can be, and how that valuation varies between individuals within the diverse population of adults with chronic pain.

This research was completed in early 2016, the project findings are currently being prepared for publication in a peer review journal.

Contact details

For more information about this project, contact Darshan Patel, Research Manager at the Health Foundation and Dr Christopher Burton, University of Aberdeen.

Further reading

Research project

How do people with diabetes value self-management support interventions?

Led by Professor John Brazier, University of Sheffield, this research aims to estimate the value of...

Research project

Exploring and quantifying preferences towards self-management support interventions for individuals with long term health conditions

Led by Professor Andrea Manca, University of York, this research aims to explore the value that...

You might also like...


Application of machine learning in recognising and treating asthma

This project will use an automated process to identify patients with asthma and who are receiving...


Predicting inpatient flow and improving experiences with machine learning algorithms

Project aiming to accurately forecast length of stay of inpatients at the trust and to predict...

Press release

Cancelled NHS treatment may be storing up greater health problems for the future

Health Foundation response to Understanding Society data on the reduction in treatment for people...

Kjell-bubble-diagramArtboard 101 copy

Get social

Many groups at risk of deep and persistent poverty have been especially affected by #COVID19. @franksoodeen at… https://t.co/5n7mwmwBUk

Follow us on Twitter
Kjell-bubble-diagramArtboard 101

Work with us

We look for talented and passionate individuals as everyone at the Health Foundation has an important role to play.

View current vacancies
Artboard 101 copy 2

The Q community

Q is an initiative connecting people with improvement expertise across the UK.

Find out more