TY - JOUR
T1 - Impact of long COVID on health-related quality-of-life
T2 - an OpenSAFELY population cohort study using patient-reported outcome measures (OpenPROMPT)
AU - The OpenSAFELY Collaborative
AU - Carlile, Oliver
AU - Briggs, Andrew
AU - Henderson, Alasdair D.
AU - Butler-Cole, Ben F.C.
AU - Tazare, John
AU - Tomlinson, Laurie A.
AU - Marks, Michael
AU - Jit, Mark
AU - Lin, Liang Yu
AU - Bates, Chris
AU - Parry, John
AU - Bacon, Sebastian C.J.
AU - Dillingham, Iain
AU - Dennison, William A.
AU - Costello, Ruth E.
AU - Walker, Alex J.
AU - Hulme, William
AU - Goldacre, Ben
AU - Mehrkar, Amir
AU - MacKenna, Brian
AU - Walker, Alex
AU - Green, Amelia
AU - Schaffer, Andrea
AU - Brown, Andrew
AU - Butler-Cole, Ben
AU - Morton, Caroline
AU - Walters, Caroline
AU - Stables, Catherine
AU - Cunningham, Christine
AU - Wood, Christopher
AU - Andrews, Colm
AU - Evans, David
AU - Hickman, George
AU - Curtis, Helen
AU - Drysdale, Henry
AU - Morley, Jessica
AU - Massey, Jon
AU - Nab, Linda
AU - Hopcroft, Lisa
AU - Fisher, Louis
AU - Bridges, Lucy
AU - Wiedemann, Milan
AU - DeVito, Nicholas
AU - Macdonald, Orla
AU - Inglesby, Peter
AU - Smith, Rebecca
AU - Croker, Richard
AU - Park, Robin
AU - Higgins, Rose
AU - Bacon, Sebastian
N1 - Publisher Copyright:
© 2024
PY - 2024/5
Y1 - 2024/5
N2 - 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).
AB - 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).
KW - HRQoL
KW - Long COVID
KW - PROMs
KW - QALY
UR - http://www.scopus.com/inward/record.url?scp=85190941789&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85190941789&partnerID=8YFLogxK
U2 - 10.1016/j.lanepe.2024.100908
DO - 10.1016/j.lanepe.2024.100908
M3 - Article
AN - SCOPUS:85190941789
SN - 2666-7762
VL - 40
JO - The Lancet Regional Health - Europe
JF - The Lancet Regional Health - Europe
M1 - 100908
ER -