Evidence map›Paper›PMID 33342437›Full record

ArticleBMC health services research2020

Persistent symptoms after Covid-19: qualitative study of 114 "long Covid" patients and draft quality principles for services.

Emma Ladds, Alex Rushforth, Sietse Wieringa, Sharon Taylor, Clare Rayner, Laiba Husain, Trisha Greenhalgh

3 registry-linked trialsOpen access · goldAbstract read
In one paragraph

Article in BMC health services research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 326 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
326citing papers in PubMed, 7 pooled it
42.3field-weighted citation impact, top 1% of its field
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.

NCT04435041 completednot on this map

Remote-by-Default Care in the COVID-19 Pandemic: Addressing the Micro-, Meso-, and Macro-level Challenges of a Radical New Service Model

Typeobservational_patient_registrySponsorUniversity of OxfordRan2020 to 2022Enrolled103ConditionsCOVID-19
NCT05669261 phase1unknown statusnot on this mapstarted 2023, after this paper: background citation

A PILOT STUDY ON RESEARCH TREATMENT OF LONG COVID POST-ACUTE SEQUELAE OF SARS CoV-2 INFECTION ("PASC") USING ATCell™

TypeinterventionalSponsorAmerican CryoStem CorporationRan2023 to 2024Enrolled20ConditionsLong COVIDArmsAdipose Tissue Harvest, ATCell
NCT05676047 nacompletednot on this mapstarted 2023, after this paper: background citation

Symptom-Targeted Rehabilitation for Cognitive Complaints in Long COVID (STAR-C3)

TypeinterventionalSponsorMcMaster UniversityRan2023 to 2025Enrolled100ConditionsLong COVIDArmsCognitive Rehabilitation, Education
3 · Its place in the literature

Who cites it

326 citing papers in PubMed, 7 syntheses or guidelines pooled it, 699 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Psychosocial Aspects of the Lived Experience of Long COVID: A Systematic Review and Thematic Synthesis of Qualitative Studies.Health expectations : an international journal of public participation in health care and health policy · 2024
    Pooled it
  5. Pooled it
  6. Pooled it
  7. Pooled it
  8. Long COVID Optimal Health Programme to Enhance Mental and Physical Health: A Feasibility Randomised Controlled Trial.Health expectations : an international journal of public participation in health care and health policy · 2025
    Trial
  9. 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
  10. Experiences of people with long COVID: Symptoms, support strategies and the Long COVID Optimal Health Programme (LC-OHP).Health expectations : an international journal of public participation in health care and health policy · 2024
    Trial
  11. Trial
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Co-Creating Publicly Available Resources to Increase Awareness of and Support for Long Covid Among Ethnic Minority Communities.Health expectations : an international journal of public participation in health care and health policy · 2026
    Article
  19. Review
  20. Observational

266 more citing papers are in PubMed but not listed here.

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

7 authors at 2 institutions in 1 country.

Emma LaddsNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, OX2 6GG, UK.
Alex RushforthNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, OX2 6GG, UK.
Sietse WieringaNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, OX2 6GG, UK.
Sharon TaylorCentral and North West London NHS Foundation Trust, London, UK.
Clare RaynerIndependent Occupational Physician, Manchester, UK.
Laiba HusainNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, OX2 6GG, UK.
Trisha GreenhalghNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, OX2 6GG, UK. trish.greenhalgh@phc.ox.ac.uk.ORCID http://orcid.org/0000-0003-2369-8088
University of Oxford · GBCentral and North West London NHS Foundation Trust · GB

Funding

Economic and Social Research Council ES/V010069/1National Institute for Health Research BRC-1215-20008Wellcome TrustWellcome Trust WT104830MA
6 · The paper itself

Abstract

backgroundApproximately 10% of patients with Covid-19 experience symptoms beyond 3-4 weeks. Patients call this "long Covid". We sought to document such patients' lived experience, including accessing and receiving healthcare and ideas for improving services.

methodsWe held 55 individual interviews and 8 focus groups (n = 59) with people recruited from UK-based long Covid patient support groups, social media and snowballing. We restricted some focus groups to health professionals since they had already self-organised into online communities. Participants were invited to tell their stories and comment on others' stories. Data were audiotaped, transcribed, anonymised and coded using NVIVO. Analysis incorporated sociological theories of illness, healing, peer support, clinical relationships, access, and service redesign.

resultsOf 114 participants aged 27-73 years, 80 were female. Eighty-four were White British, 13 Asian, 8 White Other, 5 Black, and 4 mixed ethnicity. Thirty-two were doctors and 19 other health professionals. Thirty-one had attended hospital, of whom 8 had been admitted. Analysis revealed a confusing illness with many, varied and often relapsing-remitting symptoms and uncertain prognosis; a heavy sense of loss and stigma; difficulty accessing and navigating services; difficulty being taken seriously and achieving a diagnosis; disjointed and siloed care (including inability to access specialist services); variation in standards (e.g. inconsistent criteria for seeing, investigating and referring patients); variable quality of the therapeutic relationship (some participants felt well supported while others felt "fobbed off"); and possible critical events (e.g. deterioration after being unable to access services). Emotionally significant aspects of participants' experiences informed ideas for improving services.

conclusionSuggested quality principles for a long Covid service include ensuring access to care, reducing burden of illness, taking clinical responsibility and providing continuity of care, multi-disciplinary rehabilitation, evidence-based investigation and management, and further development of the knowledge base and clinical services.

trial registrationNCT04435041.

Indexed as

AdultAgedCOVID-19FemaleFocus GroupsHealth PersonnelHealth Services ResearchHospitalizationHumansMaleMiddle AgedQualitative ResearchQuality of Health CareTime FactorsUnited KingdomChronic Covid-19Long CovidPost-acute Covid-19Qualitative studyQuality standards

Identifiers

PMID33342437
PMCPMC7750006
OpenAlexW3116823304

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.