Back to Search Start Over

Lived Experience Co-Production Within the Alleviate Pain Data Hub

Authors :
Gordon Milligan
Christian Cole
Judith Fisher
Antony Chuter
Jillian Beggs
Blair Smith
Lesley Colvin
Susan Long
Source :
International Journal of Population Data Science, Vol 9, Iss 5 (2024)
Publication Year :
2024
Publisher :
Swansea University, 2024.

Abstract

Objective To build an effective Pain data hub that benefits the public, people with chronic pain, and researchers. Alleviate is the Advanced Pain Discovery Platform (APDP) Data Hub. The aim is to make pain data Findable, Accessible, Interoperable, Reusable (FAIR) while raising awareness of chronic pain to improve the lives of people living with pain. Approach Alleviate has two lived experience leads plus an Advisory Group (AG) of people with lived experience (PWLE) of chronic pain representing an online reference group of ~400 people. The leads have been involved throughout the project since inception and design, and chair regular project meetings to ensure all voices are heard equally. They lead the development of engagement materials, highlighting the importance of pain research to those with lived experience. This co-production ensures the project to stay focussed on what matters to those living with chronic pain. Results Alleviate has developed an inclusive environment for PWLE to be actively involved in decision-making and progression of the project. Together we have co-produced videos, static informational material, social media content and developed a new collaboration with an international pain charity to run a UK-wide pain survey. Conclusions This co-production model has allowed us to generate impactful outputs and opportunities, raising awareness of Alleviate and pain research. Implications Providing an inclusive space in the heart of an academic project for PWLE has given additional focus for researchers and provided ownership to the public in activities that directly affect them.

Details

Language :
English
ISSN :
23994908
Volume :
9
Issue :
5
Database :
Directory of Open Access Journals
Journal :
International Journal of Population Data Science
Publication Type :
Academic Journal
Accession number :
edsdoj.2d563587f0584fa0abb0618dbc26c459
Document Type :
article
Full Text :
https://doi.org/10.23889/ijpds.v9i5.2582