Evidence map›Paper›PMID 41736389›Full record

ArticleHealth expectations : an international journal of public participation in health care and health policy2026

'What Do People With Long Covid Want From Healthcare Services?' A Qualitative Exploration From Lived Experience.

Clare Rayner, Nikki Smith, Ruairidh Milne, Ghazala Mir, Johannes de Kock, Nawar Diar Bakerly, LOCOMOTION Consortium

Abstract read
In one paragraph

Article in Health expectations : an international journal of public participation in health care and health policy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Clare RaynerPatient Advisory Group Co-Lead, Locomotion Project, Manchester, UK.ORCID 0000-0002-5167-6903
Nikki SmithPatient Advisory Group Member, Locomotion Project, Windsor, UK.
Ruairidh MilnePatient Advisory Group Co-Lead, Locomotion Project, University of Southampton, Southampton, UK.
Ghazala MirLeeds Institute of Health Sciences, University of Leeds, Leeds, UK.ORCID 0000-0002-5277-6885
Johannes de KockNHS Highlands, COVID Recovery Services, Inverness, UK.
Nawar Diar BakerlyNorthern Care Alliance, Manchester, UK.ORCID 0000-0003-2102-1997
LOCOMOTION Consortium

Funding

National Institute for Health and Care Research
6 · The paper itself

Abstract

backgroundLong COVID (LC) is a chronic, multisystem condition affecting millions globally, with significant personal, social and economic consequences. Despite increasing recognition of its impact, healthcare services for LC remain inconsistent with patients frequently encountering fragmented services, scepticism and delays leading to patient-voiced frustration. Therefore, understanding patient priorities is crucial for optimising service provision.

objectivesTo explore what individuals with LC want from healthcare services-drawing on their lived experience and collaborative insights with clinicians and researchers, to inform principles for improving care delivery, barriers to access, expectations for service improvement, and the role of multidisciplinary care in managing LC.

methodsA qualitative study using thematic analysis was conducted, incorporating multiple data sources, including semi-structured interviews, workshops, and a patient-led audit. Key themes were identified, focusing on healthcare access, clinical assessments, treatment options, and service organisation. STUDY

participantsTwenty-seven LC sufferers from the LOCOMOTION Patient Advisory Group (PAG) and Patient Advisory Network (PAN), along with clinicians and researchers involved in LC service provision across the United Kingdom, participated in the study.

resultsThree major themes emerged: (1) Who the services are for: Equity of access for all those with LC. Barriers such as stigma, inequitable access and lack of clinician awareness need to be addressed. (2) What services should do: Consistent and standardised assessments and diagnostic clarity-particularly for modifiable conditions like autonomic dysfunction-and an emphasis on the need for early medical intervention, not just rehabilitation. (3) How services should operate: Care should be coordinated, proactive and adaptable to evolving evidence. Patients should not be discharged without ongoing review. Multidisciplinary collaboration should be patient-centred and informed by up-to-date research.

conclusionsLC services should be designed to provide equitable, standardised and evidence-based care. Early intervention, appropriate medical testing and sustained follow-up are critical to improving patient outcomes. Patients emphasised the importance of being heard and the value of receiving timely care that reflects the latest scientific understanding and recognises their condition as real, treatable and deserving of ongoing clinical attention. Incorporating these insights into healthcare design may improve outcomes, service efficiency and trust between patients and providers. PATIENT AND PUBLIC CONTRIBUTION: Patients led all phases of this study, including design, analysis and writing, through active co-production with the LOCOMOTION research team. The paper was born out of discussions within the LOCOMOTION study's Patient Advisory Group (PAG). It was taken forward by C.R., N.S. and R.M., all members of the PAG, working closely with N.B., H.d.K. and G.M.

Indexed as

COVID-19Health Services AccessibilityAdultAgedFemaleHumansMaleMiddle AgedPandemicsPost-Acute COVID-19 SyndromeQualitative ResearchSARS-CoV-2United KingdomCOVID‐19COVID cliniclong COVIDpost COVID syndromeSARS‐CoV2

Identifiers

PMID41736389
PMCPMC12932910

What OpenQuestion holds

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LicenceCC BY
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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.