Evidence map›Paper›PMID 35969597›Full record

ArticlePloS one2022

STIMULATE-ICP-CAREINEQUAL (Symptoms, Trajectory, Inequalities and Management: Understanding Long-COVID to Address and Transform Existing Integrated Care Pathways) study protocol: Defining usual care and examining inequalities in Long Covid support.

Mel Ramasawmy, Yi Mu, Donna Clutterbuck, Marija Pantelic, Gregory Y H Lip, Christina van der Feltz-Cornelis, Dan Wootton, Nefyn H Williams, Hugh Montgomery, Rita Mallinson Cookson and 7 more

Abstract read
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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

17 authors.

Mel RamasawmyInstitute of Health Informatics, University College London, London, United Kingdom.ORCID 0000-0002-4864-8565
Yi MuInstitute of Health Informatics, University College London, London, United Kingdom.
Donna ClutterbuckSchool of Primary Care, Population Sciences and Medical Education, University of Southampton, Southampton, United Kingdom.
Marija PantelicBrighton and Sussex Medical School, University of Sussex, Brighton, United Kingdom.
Gregory Y H LipLiverpool Centre for Cardiovascular Science, University of Liverpool and Liverpool Heart & Chest Hospital, Liverpool, United Kingdom.
Christina van der Feltz-CornelisInstitute of Health Informatics, University College London, London, United Kingdom.ORCID 0000-0001-6925-8956
Dan WoottonInstitute of Infection Veterinary and Ecological Sciences, University of Liverpool, Liverpool, United Kingdom.
Nefyn H WilliamsDepartment of Primary Care and Mental Health, University of Liverpool, Liverpool, United Kingdom.
Hugh MontgomeryDepartment of Medicine, Centre for Human Health and Performance, University College London, London, United Kingdom.
Rita Mallinson CooksonPPIE Representative, London, United Kingdom.
Emily AttreePPIE Representative, London, United Kingdom.
Mark GabbayDepartment of Primary Care and Mental Health, University of Liverpool, Liverpool, United Kingdom.
Melissa HeightmanUniversity College London Hospitals NHS Trust, London, United Kingdom.
Nisreen A AlwanSchool of Primary Care, Population Sciences and Medical Education, University of Southampton, Southampton, United Kingdom.
Amitava BanerjeeInstitute of Health Informatics, University College London, London, United Kingdom.ORCID 0000-0001-8741-3411
Paula LorgellySchool of Population Health and Department of Economics, University of Auckland, Auckland, New Zealand.
STIMULATE-ICP Consortium

Funding

Department of Health COV-LT2-0043
6 · The paper itself

Abstract

introductionIndividuals with Long Covid represent a new and growing patient population. In England, fewer than 90 Long Covid clinics deliver assessment and treatment informed by NICE guidelines. However, a paucity of clinical trials or longitudinal cohort studies means that the epidemiology, clinical trajectory, healthcare utilisation and effectiveness of current Long Covid care are poorly documented, and that neither evidence-based treatments nor rehabilitation strategies exist. In addition, and in part due to pre-pandemic health inequalities, access to referral and care varies, and patient experience of the Long Covid care pathways can be poor. In a mixed methods study, we therefore aim to: (1) describe the usual healthcare, outcomes and resource utilisation of individuals with Long Covid; (2) assess the extent of inequalities in access to Long Covid care, and specifically to understand Long Covid patients' experiences of stigma and discrimination. METHODS AND ANALYSIS: A mixed methods study will address our aims. Qualitative data collection from patients and health professionals will be achieved through surveys, interviews and focus group discussions, to understand their experience and document the function of clinics. A patient cohort study will provide an understanding of outcomes and costs of care. Accessible data will be further analysed to understand the nature of Long Covid, and the care received. ETHICS AND DISSEMINATION: Ethical approval was obtained from South Central-Berkshire Research Ethics Committee (reference 303958). The dissemination plan will be decided by the patient and public involvement and engagement (PPIE) group members and study Co-Is, but will target 1) policy makers, and those responsible for commissioning and delivering Long Covid services, 2) patients and the public, and 3) academics.

Indexed as

COVID-19Delivery of Health Care, IntegratedCritical PathwaysHumansLongitudinal StudiesPost-Acute COVID-19 Syndrome

Identifiers

PMID35969597
PMCPMC9377596

What OpenQuestion holds

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Registered trials

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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.