Evidence map›Paper›PMID 36219596›Full record

ArticlePloS one2022

Co-designing personalised self-management support for people living with long Covid: The LISTEN protocol.

Celayne Heaton-Shrestha, Anna Torrens-Burton, Fiona Leggat, Ishrat Islam, Monica Busse, Fiona Jones

Abstract readClinical Trial Protocol
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Cost-Effectiveness of a Personalised Self-Management Intervention for People Living With Long Covid: The LISTEN Randomised Controlled Trial.Health expectations : an international journal of public participation in health care and health policy · 2025
    Trial
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Observational
  7. Using co-design methods to develop new personalised support for people living with Long Covid: The 'LISTEN' intervention.Health expectations : an international journal of public participation in health care and health policy · 2024
    Article
  8. Article
  9. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Celayne Heaton-ShresthaCentre for Applied Health and Social Care Research, Faculty of Health, Social Care and Education, Kingston University and St George's, University of London, London, England, United Kingdom.ORCID 0000-0002-6021-5877
Anna Torrens-BurtonPRIME Centre Wales, School of Medicine, Cardiff University, Cardiff, Wales, United Kingdom.
Fiona LeggatCentre for Applied Health and Social Care Research, Faculty of Health, Social Care and Education, Kingston University and St George's, University of London, London, England, United Kingdom.ORCID 0000-0002-6754-7225
Ishrat IslamPRIME Centre Wales, School of Medicine, Cardiff University, Cardiff, Wales, United Kingdom.ORCID 0000-0003-1395-8173
Monica BusseCentre for Trials Research, School of Medicine, Cardiff University, Cardiff, Wales, United Kingdom.
Fiona JonesCentre for Applied Health and Social Care Research, Faculty of Health, Social Care and Education, Kingston University and St George's, University of London, London, England, United Kingdom.ORCID 0000-0002-1452-3895

Funding

Department of Health COV-LT2-0009
6 · The paper itself

Abstract

backgroundLong Covid is recognised as a complex condition characterised by multiple, interacting and fluctuating symptoms which impact everyday life in diverse ways. The extent of symptom clusters and variability supports interventions that can accommodate heterogeneity, such as personalised self-management support. This approach is also advocated by people living with long Covid and guidelines published by the UK's National Institute for Health and Care Excellence. Long Covid Personalised Self-managemenT support co-design and EvaluatioN (LISTEN) is one of 15 research projects funded by the UK's National Institute of Health Research long Covid research programme. LISTEN aims to work with people living with or recovered from long Covid to co-design self-management resources, and a training programme for rehabilitation practitioners to deliver personalised support. The intervention will focus on people not hospitalised for Covid. The protocol presented here details the co-design of the LISTEN intervention which, on completion, will be evaluated in a randomised controlled trial.

methodsThe study will utilise an Accelerated Experience-Based Co-Design approach, and involve 30 people from England and Wales with lived experience of long Covid, and 15 rehabilitation practitioners living with, or supporting people with, long Covid. Through online meetings, participants will share their stories of long Covid, their challenges and strategies to live better with or recover from long Covid, their priorities for self-management resources and the practitioner training andcreate, review and refine these resources and the training. Throughout, LISTEN will draw upon the UK standards of public involvement in research. DISCUSSION: If effective and cost-effective, the intervention will be available across the UK's National Health Service. The first of its kind, this study could make a difference to the lives of people with long Covid. To ensure impact, we have developed strategies to involve people from diverse backgrounds and mitigate potential barriers to involvement.

Indexed as

COVID-19Self-ManagementCost-Benefit AnalysisHumansPost-Acute COVID-19 SyndromeRandomized Controlled Trials as TopicState MedicineUnited Kingdom

Identifiers

PMID36219596
PMCPMC9553035

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.