Jones, F; Domeny, A; Fish, J; Leggat, F; Patel, I; McRae, J; Rowe, C; Busse, ME
(2024)
Using co-design methods to develop new personalised support for people living with Long Covid: The 'LISTEN' intervention.
Health Expect, 27 (3).
e14093.
ISSN 1369-7625
https://doi.org/10.1111/hex.14093
SGUL Authors: Jones, Fiona Leggat, Fiona Jane McRae, Jacqueline
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Abstract
INTRODUCTION: Many Covid-19 survivors are living with unresolved, relapsing and remitting symptoms and no 'one size' of treatment is likely to be effective for everyone. Supported self-management for the varied symptoms of Long Covid (LC) is recommended by the National Institute for Health and Care Excellence in the United Kingdom. We aimed to develop a new personalised support intervention for people living with LC using a structured co-design framework to guide replication and evaluation. METHODS: We used the improvement methodology, Experience-Based Co-Design, in an accelerated form to harness the collective experiences of people with LC. Incorporating evidence from 'Bridges Self-Management' (Bridges) an approach in which healthcare professionals (HCPs)are trained to support knowledge, confidence and skills of individuals living with long term conditions. Co-designed resources are also central to Bridges. Adults who self-identified as living with or recovered from LC, from England or Wales, aged 18 years and over were recruited, and HCPs, with experience of supporting people with LC. Participants took part in a series of small co-design group meetings and larger mixed meetings to agree priorities, core principles and generate resources and intervention content. RESULTS: People with LC (n = 28), and HCPs (n = 9) supported co-design of a book (hard-copy and digital form) to be used in 1:1 support sessions with a trained HCP. Co-design stages prioritised stories about physical symptoms first, and psychological and social challenges which followed, nonlinear journeys and reconceptualising stability as progress, rich descriptions of strategies and links to reputable advice and support for navigating healthcare services. Co-design enabled formulation of eight core intervention principles which underpinned the training and language used by HCPs and fidelity assessments. CONCLUSION: We have developed a new personalised support intervention, with core principles to be used in one-to-one sessions delivered by trained HCPs, with a new co-designed book as a prompt to build personalised strategies and plans using narratives, ideas, and solutions from other people with LC. Effectiveness and cost effectiveness of the 'LISTEN' intervention will be evaluated in a randomised controlled trial set within the context of the updated Framework for Developing and Evaluating Complex Interventions. PATIENT AND PUBLIC CONTRIBUTION: The LISTEN Public and Patient Involvement (PPI) group comprised seven people living with LC. They all contributed to the design of this study and five members were part of a larger co-design community described in this paper. They have contributed to this paper by interpreting stages of intervention design and analysis of results. Three members of our PPI group are co-authors of this paper.
Item Type: | Article | ||||||||
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Additional Information: | © 2024 The Author(s). Health Expectations published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. | ||||||||
Keywords: | Long Covid, co‐design, fidelity, personalised, self‐management support, training, Humans, COVID-19, Self-Management, Female, Male, SARS-CoV-2, Middle Aged, Adult, United Kingdom, Survivors, Aged, 1110 Nursing, 1117 Public Health and Health Services, 1701 Psychology, Public Health | ||||||||
SGUL Research Institute / Research Centre: | Academic Structure > Population Health Research Institute (INPH) | ||||||||
Journal or Publication Title: | Health Expect | ||||||||
ISSN: | 1369-7625 | ||||||||
Language: | eng | ||||||||
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Publisher License: | Creative Commons: Attribution 4.0 | ||||||||
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PubMed ID: | 38783782 | ||||||||
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URI: | https://openaccess.sgul.ac.uk/id/eprint/116489 | ||||||||
Publisher's version: | https://doi.org/10.1111/hex.14093 |
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