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Impact of long COVID on health-related quality-of-life: an OpenSAFELY population cohort study using patient-reported outcome measures (OpenPROMPT).
Carlile, Oliver; Briggs, Andrew; Henderson, Alasdair D; Butler-Cole, Ben F C; Tazare, John; Tomlinson, Laurie A; Marks, Michael; Jit, Mark; Lin, Liang-Yu; Bates, Chris; Parry, John; Bacon, Sebastian C J; Dillingham, Iain; Dennison, William A; Costello, Ruth E; Walker, Alex J; Hulme, William; Goldacre, Ben; Mehrkar, Amir; MacKenna, Brian; Herrett, Emily; Eggo, Rosalind M.
Afiliação
  • Carlile O; London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.
  • Briggs A; London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.
  • Henderson AD; London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.
  • Butler-Cole BFC; Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, OX2 6GG, UK.
  • Tazare J; London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.
  • Tomlinson LA; London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.
  • Marks M; London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.
  • Jit M; Hospital for Tropical Diseases, University College London Hospital, London, WC1E 6JD, UK.
  • Lin LY; Division of Infection and Immunity, University College London, London, WC1E 6BT, UK.
  • Bates C; London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.
  • Parry J; London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.
  • Bacon SCJ; TPP, TPP House, 129 Low Lane, Horsforth, Leeds, LS18 5PX, UK.
  • Dillingham I; TPP, TPP House, 129 Low Lane, Horsforth, Leeds, LS18 5PX, UK.
  • Dennison WA; Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, OX2 6GG, UK.
  • Costello RE; Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, OX2 6GG, UK.
  • Walker AJ; Patient and Public Involvement Steering Committee, London, UK.
  • Hulme W; London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.
  • Goldacre B; Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, OX2 6GG, UK.
  • Mehrkar A; Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, OX2 6GG, UK.
  • MacKenna B; Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, OX2 6GG, UK.
  • Herrett E; Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, OX2 6GG, UK.
Lancet Reg Health Eur ; 40: 100908, 2024 May.
Article em En | MEDLINE | ID: mdl-38689605
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).
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Lancet Reg Health Eur Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Lancet Reg Health Eur Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Reino Unido