Evidence map›Paper›PMID 38689605›Full record

ArticleThe Lancet regional health. Europe2024

Impact of long COVID on health-related quality-of-life: an OpenSAFELY population cohort study using patient-reported outcome measures (OpenPROMPT).

Oliver Carlile, Andrew Briggs, Alasdair D Henderson, Ben F C Butler-Cole, John Tazare, Laurie A Tomlinson, Michael Marks, Mark Jit, Liang-Yu Lin, Chris Bates and 13 more

Abstract read
In one paragraph

Article in The Lancet regional health. Europe, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed, 2 pooled it
–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

60 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Review
  6. Impact of long COVID on health-related quality-of-life among Japanese adults: findings of CARE Japan study.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026
    Article
  7. Cellular Metabolic Signatures of Long COVID-19.Infectious disease reports · 2026
    Article
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  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Observational
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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

23 authors.

Oliver CarlileLondon School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.
Andrew BriggsLondon School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.
Alasdair D HendersonLondon School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.
Ben F C Butler-ColeBennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, OX2 6GG, UK.
John TazareLondon School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.
Laurie A TomlinsonLondon School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.
Michael MarksLondon School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.
Mark JitLondon School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.
Liang-Yu LinLondon School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.
Chris BatesTPP, TPP House, 129 Low Lane, Horsforth, Leeds, LS18 5PX, UK.
John ParryTPP, TPP House, 129 Low Lane, Horsforth, Leeds, LS18 5PX, UK.
Sebastian C J BaconBennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, OX2 6GG, UK.
Iain DillinghamBennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, OX2 6GG, UK.
William A DennisonPatient and Public Involvement Steering Committee, London, UK.
Ruth E CostelloLondon School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.
Alex J WalkerBennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, OX2 6GG, UK.
William HulmeBennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, OX2 6GG, UK.
Ben GoldacreBennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, OX2 6GG, UK.
Amir MehrkarBennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, OX2 6GG, UK.
Brian MacKennaBennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, OX2 6GG, UK.
OpenSAFELY Collaborative
Emily HerrettLondon School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.
Rosalind M EggoLondon School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Long COVID is a major problem affecting patient health, the health service, and the workforce. To optimise the design of future interventions against COVID-19, and to better plan and allocate health resources, it is critical to quantify the health and economic burden of this novel condition. We aimed to evaluate and estimate the differences in health impacts of long COVID across sociodemographic categories and quantify this in Quality-Adjusted Life-Years (QALYs), widely used measures across health systems. Methods: With the approval of NHS England, we utilised OpenPROMPT, a UK cohort study measuring the impact of long COVID on health-related quality-of-life (HRQoL). OpenPROMPT invited responses to Patient Reported Outcome Measures (PROMs) using a smartphone application and recruited between November 2022 and October 2023. We used the validated EuroQol EQ-5D questionnaire with the UK Value Set to develop disutility scores (1-utility) for respondents with and without Long COVID using linear mixed models, and we calculated subsequent Quality-Adjusted Life-Months (QALMs) for long COVID. Findings: The total OpenPROMPT cohort consisted of 7575 individuals who consented to data collection, with which we used data from 6070 participants who completed a baseline research questionnaire where 24.6% self-reported long COVID. In multivariable regressions, long COVID had a consistent impact on HRQoL, showing a higher likelihood or odds of reporting loss in quality-of-life (Odds Ratio (OR): 4.7, 95% CI: 3.72-5.93) compared with people who did not report long COVID. Reporting a disability was the largest predictor of losses of HRQoL (OR: 17.7, 95% CI: 10.37-30.33) across survey responses. Self-reported long COVID was associated with an 0.37 QALM loss. Interpretation: We found substantial impacts on quality-of-life due to long COVID, representing a major burden on patients and the health service. We highlight the need for continued support and research for long COVID, as HRQoL scores compared unfavourably to patients with conditions such as multiple sclerosis, heart failure, and renal disease. Funding: This research was supported by the National Institute for Health and Care Research (NIHR) (OpenPROMPT: COV-LT2-0073).

Indexed as

HRQoLLong COVIDPROMsQALY

Identifiers

PMID38689605
PMCPMC11059448

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.