Evidence map›Paper›PMID 35256450›Full record

ArticleBMJ open2022

Long COVID and episodic disability: advancing the conceptualisation, measurement and knowledge of episodic disability among people living with Long COVID - protocol for a mixed-methods study.

Kelly K O'Brien, Darren A Brown, Colm Bergin, Kristine M Erlandson, Jaime H Vera, Lisa Avery, Soo Chan Carusone, Angela M Cheung, Susie Goulding, Richard Harding and 12 more

Abstract read
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Trial
  2. Article
  3. Community Engagement in Long Covid Research: Process, Evaluation and Recommendations From the Long COVID and Episodic Disability Study.Health expectations : an international journal of public participation in health care and health policy · 2025
    Article
  4. 'We Don't Have to Prove to People How We're Feeling': Understanding the Role of Peer Support Groups in Countering Epistemic Injustices in Long COVID at a US Centre.Health expectations : an international journal of public participation in health care and health policy · 2025
    Article
  5. Observational
  6. Article
  7. Article
  8. Article
  9. Long COVID Is Not a Functional Neurologic Disorder.Journal of personalized medicine · 2024
    Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Scoping review of rehabilitation care models for post COVID-19 condition.Bulletin of the World Health Organization · 2022
    Article
  17. Review
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

22 authors.

Kelly K O'Brien *Department of Physical Therapy, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada kelly.obrien@utoronto.ca.ORCID 0000-0002-1632-6537
Darren A Brown *Therapies Department, Chelsea and Westminster Hospital NHS Foundation Trust, London, UK.ORCID 0000-0002-4956-243X
Colm BerginDepartment of Genitourinary and Infectious Diseases (GUIDE Clinic), St. James's Hospital, Dublin, Ireland.ORCID 0000-0002-6651-1132
Kristine M ErlandsonUniversity of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.ORCID 0000-0003-0808-6729
Jaime H VeraBrighton and Sussex Medical School, University of Sussex Brighton, Brighton, UK.ORCID 0000-0002-1165-0573
Lisa AveryUniversity Health Network, Toronto, Ontario, Canada.ORCID 0000-0002-8431-5143
Soo Chan CarusoneMcMaster Collaborative for Health and Aging, McMaster University, Hamilton, Ontario, Canada.ORCID 0000-0003-3977-0523
Angela M CheungInstitute of Health Policy, Management and Evaluation (IHPME), Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.ORCID 0000-0001-8332-0744
Susie GouldingCOVID Long-Haulers Support Group Canada, Toronto, Ontario, Canada.
Richard HardingCicely Saunders Institute of Palliative Care, Policy & Rehabilitation, King's College London, London, UK.ORCID 0000-0001-9653-8689
Lisa McCorkellPatient-Led Research Collaborative, Washington, DC, USA.
Margaret O'HaraLong COVID Support, Birmingham, UK.
Larry RobinsonSunnybrook Health Sciences Centre, Sunnybrook Research Institute, Toronto, Ontario, Canada.
Catherine ThomsonLong COVID Physio, London, UK.
Hannah WeiPatient-Led Research Collaborative, Ottawa, Ontario, Canada.
Natalie St Clair-SullivanRoyal Sussex County Hospital, Brighton and Sussex University Hospitals NHS Foundation Trust, Brighton, UK.
Brittany TorresDepartment of Physical Therapy, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
Ciaran BannanDepartment of Genitourinary and Infectious Diseases (GUIDE Clinic), St. James's Hospital, Dublin, Ireland.
Niamh RocheLong COVID Ireland, Dublin, Ireland.
Ruth StokesLong COVID Ireland, Dublin, Ireland.
Patriic GayleCanada-International HIV and Rehabilitation Research Collaborative (CIHRRC), London, UK.
Patricia SolomonSchool of Rehabilitation Science, McMaster University Faculty of Health Sciences, Hamilton, Ontario, Canada.ORCID 0000-0002-5014-0795

Funding

Predictors of Recovery and the App-Facilitated Tele-Rehabilitation (AFTER) Program for COVID SurvivorsR01AG054366 · NIA · UNIVERSITY OF COLORADO DENVER · PI ERLANDSON, KRISTINE MACE · 2016 to 2020
$3.4M
NIA NIH HHS R01 AG054366
6 · The paper itself

Abstract

introductionAs the prevalence of Long COVID increases, there is a critical need for a comprehensive assessment of disability. Our aims are to: (1) characterise disability experiences among people living with Long COVID in Canada, UK, USA and Ireland; and (2) develop a patient-reported outcome measure to assess the presence, severity and episodic nature of disability with Long COVID. METHODS AND ANALYSIS: In phase 1, we will conduct semistructured interviews with adults living with Long COVID to explore experiences of disability (dimensions, uncertainty, trajectories, influencing contextual factors) and establish an episodic disability (ED) framework in the context of Long COVID (n~10 each country). Using the conceptual framework, we will establish the Long COVID Episodic Disability Questionnaire (EDQ). In phase 2, we will examine the validity (construct, structural) and reliability (internal consistency, test-retest) of the EDQ for use in Long COVID. We will electronically administer the EDQ and four health status criterion measures with adults living with Long COVID, and readminister the EDQ 1 week later (n~170 each country). We will use Rasch analysis to refine the EDQ, and confirm structural and cross-cultural validity. We will calculate Cronbach's alphas (internal consistency reliability), and intraclass correlation coefficients (test-retest reliability), and examine correlations for hypotheses theorising relationships between EDQ and criterion measure scores (construct validity). Using phase 2 data, we will characterise the profile of disability using structural equation modelling techniques to examine relationships between dimensions of disability and the influence of intrinsic and extrinsic contextual factors. This research involves an academic-clinical-community partnership building on foundational work in ED measurement, Long COVID and rehabilitation. ETHICS AND DISSEMINATION: This study was approved by the University of Toronto Research Ethics Board. Knowledge translation will occur with community collaborators in the form of presentations and publications in open access peer-reviewed journals and presentations.

Indexed as

COVID-19HIV InfectionsAdultConcept FormationDisability EvaluationHumansPost-Acute COVID-19 SyndromePsychometricsReproducibility of ResultsSARS-CoV-2Surveys and QuestionnairesCOVID-19HIV & AIDSinfectious diseasesrehabilitation medicine

Identifiers

PMID35256450
PMCPMC8905414

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.