Evidence map›Paper›PMID 35580970›Full record

ArticleBMJ open2022

LOng COvid Multidisciplinary consortium Optimising Treatments and servIces acrOss the NHS (LOCOMOTION): protocol for a mixed-methods study in the UK.

Manoj Sivan, Trisha Greenhalgh, Julie Lorraine Darbyshire, Ghazala Mir, Rory J O'Connor, Helen Dawes, Darren Greenwood, Daryl O'Connor, Mike Horton, Stavros Petrou and 11 more

Registry-linked trialOpen access · goldAbstract 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. It is linked to trial NCT05057260 (LOng COvid Multidisciplinary Consortium), which is not on this map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
7.5field-weighted citation impact, top 2% 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.

NCT05057260 unknown statusnot on this map

LOng COvid Multidisciplinary Consortium: Optimising Treatments and servIces Across the NHS (LOCOMOTION)

TypeobservationalSponsorUniversity of LeedsRan2022 to 2024Enrolled7,000ConditionsCOVID-19ArmsNo drug invervention
3 · Its place in the literature

Who cites it

37 citing papers in PubMed, 63 citations in OpenAlex.

  1. Article
  2. Article
  3. 'What Do People With Long Covid Want From Healthcare Services?' A Qualitative Exploration From Lived Experience.Health expectations : an international journal of public participation in health care and health policy · 2026
    Article
  4. Exploring the Intensity and Continuity of Hospital Care for Patients With Long Covid: Evidence From an English Urban Healthcare System.Health expectations : an international journal of public participation in health care and health policy · 2026
    Observational
  5. Health economic outcomes and national economic impacts associated with Long COVID in England and Scotland.The European journal of health economics : HEPAC : health economics in prevention and care · 2026
    Article
  6. Article
  7. Article
  8. Addressing Inequalities in Long Covid Healthcare: A Mixed-Methods Study on Building Inclusive Services.Health expectations : an international journal of public participation in health care and health policy · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Impact of Long COVID on productivity and informal caregiving.The European journal of health economics : HEPAC : health economics in prevention and care · 2024
    Article
  17. Article
  18. Article
  19. Article
  20. 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

21 authors at 9 institutions in 1 country.

Manoj SivanAcademic Department of Rehabilitation Medicine, University of Leeds, Leeds, UK m.sivan@leeds.ac.uk.ORCID 0000-0002-0334-2968
Trisha GreenhalghNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.ORCID 0000-0003-2369-8088
Julie Lorraine DarbyshireNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.ORCID 0000-0002-7655-1963
Ghazala MirLeeds Institute of Health Sciences, University of Leeds, Leeds, UK.
Rory J O'ConnorAcademic Department of Rehabilitation Medicine, University of Leeds, Leeds, UK.
Helen DawesCollege of Medicine and Health, University of Exeter, Exeter, UK.
Darren GreenwoodLeeds Institute for Data Analytics, University of Leeds, Leeds, UK.
Daryl O'ConnorSchool of Psychology, University of Leeds, Leeds, UK.ORCID 0000-0003-4117-4093
Mike HortonAcademic Department of Rehabilitation Medicine, University of Leeds, Leeds, UK.
Stavros PetrouNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Simon de LusignanNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.ORCID 0000-0001-5613-6810
Vasa CurcinDepartment of Primary Care and Public Health Sciences, King's College London, London, UK.
Erik MayerDepartment of Biosurgery and Surgical Technology, Imperial College London, London, UK.
Alexander CassonDepartment of Electrical and Electronic Engineering, The University of Manchester, Manchester, UK.
Ruairidh MilnePublic Health, Wessex Institute, University of Southampton, Southampton, UK.
Clare RaynerLong Covid Support, Leeds, UK.
Nikki SmithLong Covid Support, London, UK.
Amy ParkinDepartment of Occupational Therapy, Leeds Teaching Hospitals NHS Trust, Leeds, UK.
Nick PrestonAcademic Department of Rehabilitation Medicine, University of Leeds, Leeds, UK.
Brendan DelaneyDepartment of Surgery and Cancer, Imperial College London, London, UK.
LOCOMOTION consortium
University of Leeds · GBUniversity of Oxford · GBImperial College London · GBKing's College London · GBLeeds Teaching Hospitals NHS Trust · GBUniversity of Exeter · GBUniversity of Manchester · GBUniversity of Southampton · GBUniversity of Surrey · GB

Funding

Medical Research Council G0501681
6 · The paper itself

Abstract

introductionLong COVID, a new condition whose origins and natural history are not yet fully established, currently affects 1.5 million people in the UK. Most do not have access to specialist long COVID services. We seek to optimise long COVID care both within and outside specialist clinics, including improving access, reducing inequalities, helping self-management and providing guidance and decision support for primary care. We aim to establish a 'gold standard' of care by systematically analysing current practices, iteratively improving pathways and systems of care. METHODS AND ANALYSIS: This mixed-methods, multisite study is informed by the principles of applied health services research, quality improvement, co-design, outcome measurement and learning health systems. It was developed in close partnership with patients (whose stated priorities are prompt clinical assessment; evidence-based advice and treatment and help with returning to work and other roles) and with front-line clinicians. Workstreams and tasks to optimise assessment, treatment and monitoring are based in three contrasting settings: workstream 1 (qualitative research, up to 100 participants), specialist management in 10 long COVID clinics across the UK, via a quality improvement collaborative, experience-based co-design and targeted efforts to reduce inequalities of access, return to work and peer support; workstream 2 (quantitative research, up to 5000 participants), patient self-management at home, technology-supported monitoring and validation of condition-specific outcome measures and workstream 3 (quantitative research, up to 5000 participants), generalist management in primary care, harnessing electronic record data to study population phenotypes and develop evidence-based decision support, referral pathways and analysis of costs. Study governance includes an active patient advisory group. ETHICS AND DISSEMINATION: LOng COvid Multidisciplinary consortium Optimising Treatments and servIces acrOss the NHS study is sponsored by the University of Leeds and approved by Yorkshire & The Humber-Bradford Leeds Research Ethics Committee (ref: 21/YH/0276). Participants will provide informed consent. Dissemination plans include academic and lay publications, and partnerships with national and regional policymakers. TRIAL REGISTRATION NUMBER: NCT05057260, ISRCTN15022307.

Indexed as

COVID-19HumansLocomotionPost-Acute COVID-19 SyndromeState MedicineUnited KingdomCOVID-19health economicshealth services administration & managementqualitative researchrehabilitation medicine

Identifiers

PMID35580970
PMCPMC9114312
OpenAlexW4280524853

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.