Abstract
Purpose
To summarise the diverse literature reporting the impact of COVID-19 on health utility in COVID-19 patients as well as in general populations being affected by COVID-19 control policies.
Methods
A literature search up to April 2023 was conducted to identify papers reporting health utility in COVID-19 patients or in COVID-19-affected general populations. We present a narrative synthesis of the health utility values/losses of the retained studies to show the mean health utility values/losses with 95% confidence intervals. Mean utility values/losses for categories defined by medical attendance and data collection time were calculated using random-effects models.
Results
In total, 98 studies—68 studies on COVID-19 patients and 30 studies on general populations—were retained for detailed review. Mean (95% CI) health utility values were 0.83 (0.81, 0.86), 0.78 (0.73, 0.83), 0.82 (0.78, 0.86) and 0.71 (0.65, 0.78) for general populations, non-hospitalised, hospitalised and ICU patients, respectively, irrespective of the data collection time. Mean utility losses in patients and general populations ranged from 0.03 to 0.34 and from 0.02 to 0.18, respectively.
Conclusions
This scoping review provides a summary of the health utility impact of COVID-19 and COVID-19 control policies. COVID-19-affected populations were reported to have poor health utility, while a high degree of heterogeneity was observed across studies. Population- and/or country-specific health utility is recommended for use in future economic evaluation on COVID-19-related interventions.
Similar content being viewed by others
Data availability
Data for this study are available upon reasonable request.
References
World Health Organization. WHO Coronavirus (COVID-19) Dashboard. Retrieved Nov 6, 2023, from https://covid19.who.int/
Our World in Data. Estimated cumulative excess deaths during COVID, World. Retrieved May 23, 2023, from https://ourworldindata.org/grapher/excess-deaths-cumulative-economist-single-entity?country=~OWID_WRL
Alzueta, E., Perrin, P., Baker, F. C., Caffarra, S., Ramos-Usuga, D., Yuksel, D., & Arango-Lasprilla, J. C. (2021). How the COVID-19 pandemic has changed our lives: A study of psychological correlates across 59 countries. Journal of Clinical Psychology, 77(3), 556–570.
Salari, N., Hosseinian-Far, A., Jalali, R., Vaisi-Raygani, A., Rasoulpoor, S., Mohammadi, M., Rasoulpoor, S., & Khaledi-Paveh, B. (2020). Prevalence of stress, anxiety, depression among the general population during the COVID-19 pandemic: A systematic review and meta-analysis. Globalization and Health, 16(1), 57.
Rezapour, A., Souresrafil, A., Peighambari, M. M., Heidarali, M., & Tashakori-Miyanroudi, M. (2021). Economic evaluation of programs against COVID-19: A systematic review. International Journal of Surgery, 85, 10–18.
Sharma, D., Aggarwal, A. K., Downey, L. E., & Prinja, S. (2021). National healthcare economic evaluation guidelines: A cross-country comparison. PharmacoEconomics-Open, 5(3), 349–364.
Drummond, M. F., Sculpher, M. J., Claxton, K., Stoddart, G. L., & Torrance, G. W. (2015). Methods for the economic evaluation of health care programmes. Oxford University Press.
Painter, C., Isaranuwatchai, W., Prawjaeng, J., Wee, H. L., Chua, B. W. B., Huynh, V. A., Lou, J., Goh, F. T., Luangasanatip, N., & Pan-Ngum, W. (2021). Avoiding trouble ahead: Lessons learned and suggestions for economic evaluations of COVID-19 vaccines. Applied Health Economics and Health Policy, 19(4), 463–472.
Bagepally, B. S., Haridoss, M., Natarajan, M., Jeyashree, K., & Ponnaiah, M. (2021). Cost-effectiveness of surgical mask, N-95 respirator, hand-hygiene and surgical mask with hand hygiene in the prevention of COVID-19: Cost effectiveness analysis from Indian context. Clinical Epidemiology and Global Health, 10, 100702.
Carta, A., & Conversano, C. (2021). Cost utility analysis of Remdesivir and Dexamethasone treatment for hospitalised COVID-19 patients-a hypothetical study. BMC Health Services Research, 21, 986.
Jiang, Y., Cai, D., Chen, D., Jiang, S., Si, L., & Wu, J. (2021). Economic evaluation of remdesivir for the treatment of severe COVID-19 patients in China under different scenarios. British Journal of Clinical Pharmacology, 87(11), 4386–4396.
Sheinson, D., Dang, J., Shah, A., Meng, Y., Elsea, D., & Kowal, S. (2021). A cost-effectiveness framework for COVID-19 treatments for hospitalized patients in the United States. Advances in Therapy, 38(4), 1811–1831.
Padula, W. V., Malaviya, S., Reid, N. M., Cohen, B. G., Chingcuanco, F., Ballreich, J., Tierce, J., & Alexander, G. C. (2021). Economic value of vaccines to address the COVID-19 pandemic: A US cost-effectiveness and budget impact analysis. Journal of Medical Economics, 24(1), 1060–1069.
Whittington, M. D., Pearson, S. D., Rind, D. M., & Campbell, J. D. (2022). The cost-effectiveness of remdesivir for hospitalized patients with COVID-19. Value in Health, 25(5), 744–750.
Luo, D., Wan, X., Liu, J., & Tong, T. (2018). Optimally estimating the sample mean from the sample size, median, mid-range, and/or mid-quartile range. Statistical Methods in Medical Research, 27(6), 1785–1805.
British Foreign Policy Group. COVID-19 Timeline. Retrieved June 16 2023, from https://bfpg.co.uk/2020/04/covid-19-timeline/
R Development Core Team. (2013). R: A language and environment for statistical computing. R Foundation for Statistical Computing.
Case, K. R., Wang, C.-P., Hosek, M. G., Lill, S. F., Howell, A. B., Taylor, B. S., Bridges, J., MacCarthy, D. J., Winkler, P., & Tsevat, J. (2022). Health-related quality of life and social determinants of health following COVID-19 infection in a predominantly Latino population. Journal of Patient-Reported Outcomes, 6, 72.
Neville, T. H., Hays, R. D., Tseng, C.-H., Gonzalez, C. A., Chen, L., Hong, A., Yamamoto, M., Santoso, L., Kung, A., & Schwab, K. (2022). Survival after severe COVID-19: Long-term outcomes of patients admitted to an intensive care unit. Journal of Intensive Care Medicine, 37(8), 1019–1028.
Gamberini, L., Mazzoli, C. A., Sintonen, H., Colombo, D., Scaramuzzo, G., Allegri, D., Tonetti, T., Zani, G., Capozzi, C., & Giampalma, E. (2021). Quality of life of COVID-19 critically ill survivors after ICU discharge: 90 days follow-up. Quality of Life Research, 30(10), 2805–2817.
Di Fusco, M., Sun, X., Moran, M. M., Coetzer, H., Zamparo, J. M., Puzniak, L., Alvarez, M. B., Tabak, Y. P., & Cappelleri, J. C. (2022). Impact of COVID-19 and effects of vaccination with BNT162b2 on patient-reported health-related quality of life, symptoms, and work productivity among US adult outpatients with SARS-CoV-2. Journal of Patient-Reported Outcomes, 6, 123.
Sandmann, F., Tessier, E., Lacy, J., Kall, M., Van Leeuwen, E., Charlett, A., Eggo, R. M., Dabrera, G., Edmunds, W. J., & Ramsay, M. (2022). Long-term health-related quality of life in non-hospitalised COVID-19 cases with confirmed SARS-CoV-2 infection in England: Longitudinal analysis and cross-sectional comparison with controls. Clinical Infectious Diseases, 75, e962–e973.
Hodgson, C. L., Higgins, A. M., Bailey, M. J., Mather, A. M., Beach, L., Bellomo, R., Bissett, B., Boden, I. J., Bradley, S., & Burrell, A. (2021). The impact of COVID-19 critical illness on new disability, functional outcomes and return to work at 6 months: A prospective cohort study. Critical Care, 25, 382.
Vlake, J. H., Van Bommel, J., Hellemons, M. E., Wils, E.-J., Bienvenu, O. J., Schut, A. F., Klijn, E., Van Bavel, M. P., Gommers, D., & Van Genderen, M. E. (2021). Psychologic distress and quality of life after ICU treatment for coronavirus disease 2019: A multicenter, observational cohort study. Critical Care Explorations, 3(8), e0497.
Tran, V.-T., Riveros, C., Clepier, B., Desvarieux, M., Collet, C., Yordanov, Y., & Ravaud, P. (2022). Development and validation of the long coronavirus disease (COVID) symptom and impact tools: A set of patient-reported instruments constructed from patients’ lived experience. Clinical Infectious Diseases, 74(2), 278–287.
Dennis, A., Cuthbertson, D. J., Wootton, D., Crooks, M., Gabbay, M., Eichert, N., Mouchti, S., Pansini, M., Roca-Fernandez, A., & Thomaides-Brears, H. (2023). Multi-organ impairment and long COVID: A 1-year prospective, longitudinal cohort study. Journal of the Royal Society of Medicine, 116(3), 97–112.
Mammi, P., Ranza, E., Rampello, A., Ravanetti, D., Cavaldonati, A., Moretti, S., Gobbi, E., Rodà, F., & Brianti, R. (2023). Post–COVID-19 ongoing symptoms and health-related quality of Life: Does rehabilitation matter?: Preliminary evidence. American Journal of Physical Medicine & Rehabilitation, 102(3), 241.
Tak, C. R. (2023). The health impact of long COVID: A cross-sectional examination of health-related quality of life, disability, and health status among individuals with self-reported post-acute sequelae of SARS CoV-2 infection at various points of recovery. Journal of Patient-Reported Outcomes, 7, 31.
Demoule, A., Morawiec, E., Decavele, M., Ohayon, R., Malrin, R., Galarza-Jimenez, M. A., Laveneziana, P., Morelot-Panzini, C., Similowski, T., & De Rycke, Y. (2022). Health-related quality of life of COVID-19 two and 12 months after intensive care unit admission. Annals of Intensive Care, 12, 16.
Farhanah, N., Budiman, C., Sofro, M. A. U., Riyanto, B., Hadisaputro, S., & Gasem, M. H. (2022). The persistent symptoms and decreased quality of life of COVID-19 patients (A 3-month follow-up after discharge). Open Access Macedonian Journal of Medical Sciences, 10, 1419–1425.
Hegde, S., Sreeram, S., Bhat, K. R., Satish, V., Shekar, S., & Babu, M. (2022). Evaluation of post-COVID health status using the EuroQol-5D-5L scale. Pathogens and Global Health, 116(8), 498–508.
Shah, A. S., Ryu, M. H., Hague, C. J., Murphy, D. T., Johnston, J. C., Ryerson, C. J., Carlsten, C., & Wong, A. W. (2021). Changes in pulmonary function and patient-reported outcomes during COVID-19 recovery: A longitudinal, prospective cohort study. ERJ Open Research, 7(3), 00243–02021.
Gamberini, L., Mazzoli, C. A., Prediletto, I., Sintonen, H., Scaramuzzo, G., Allegri, D., Colombo, D., Tonetti, T., Zani, G., & Capozzi, C. (2021). Health-related quality of life profiles, trajectories, persistent symptoms and pulmonary function one year after ICU discharge in invasively ventilated COVID-19 patients, a prospective follow-up study. Respiratory Medicine, 189, 106665.
Wen, J., Al Sayah, F., Simon, R., Lahtinen, M., Johnson, J. A., & Ohinmaa, A. (2022). Self-reported health-related quality of life of the general population in Alberta, Canada during the COVID-19 pandemic. Journal of Patient-Reported Outcomes, 6, 109.
Wong, E.L.-Y., Li, J., Yuen, S., Lai, A.H.-Y., Cheung, A.W.-L., Yau, P.S.-Y., & Yeoh, E.-K. (2022). Vulnerable populations during COVID-19 response: Health-related quality of life among Chinese population and its influence due to socio-demographic factors and loneliness. Frontiers in Public Health, 10, 857033.
García-de-Miguel, M., Huertas-Hoyas, E., Pérez-Corrales, J., Rodríguez-Rivas, C., García-Bravo, C., García-Bravo, S., & Camacho-Montaño, L. R. (2022). Food intake changes and their impact on quality of life in Spanish Citizens with and without COVID-19 during Lockdown. Healthcare, 10(8), 1414.
Mitchell, P. M., Morton, R. L., Hiligsmann, M., Husbands, S., & Coast, J. (2022). Estimating loss in capability wellbeing in the first year of the COVID-19 pandemic: A cross-sectional study of the general adult population in the UK, Australia and the Netherlands. The European Journal of Health Economics, 24, 609–619.
Poder, T. G., Dufresne, É., He, J., Talba, L., & Da Silva, R. B. (2021). Qualité de vie reliée à la santé et confinement: Analyse des effets et des facteurs de risque [Health-related quality of life and lockdown: Analysis of effects and risk factors]. International Journal of Health Preference Research, 1, 2–26.
Tamson, M., Reile, R., Sokurova, D., Innos, K., Nurk, E., Laidra, K., & Vorobjov, S. (2022). Health-related quality of life and its socio-demographic and behavioural correlates during the COVID-19 pandemic in Estonia. International Journal of Environmental Research and Public Health, 19(15), 9060.
Chen, J., Gong, C. L., Persson, U., & Gu, N. Y. (2023). A cross-country comparison of health-related quality of life in the United States, Sweden, and Norway during the first year of the COVID-19 pandemic. Archives of Public Health, 81(1), 58.
Long, D., Haagsma, J. A., Janssen, M. F., Yfantopoulos, J. N., Lubetkin, E. I., & Bonsel, G. J. (2021). Health-related quality of life and mental well-being of healthy and diseased persons in 8 countries: Does stringency of government response against early COVID-19 matter? SSM-population health, 15, 100913.
Luyten, J., Marais, C., Hens, N., De Schrijver, K., & Beutels, P. (2011). Imputing QALYs from single time point health state descriptions on the EQ-5D and the SF-6D: A comparison of methods for hepatitis a patients. Value in Health, 14(2), 282–290.
Marra, C. A., Esdaile, J. M., Guh, D., Kopec, J. A., Brazier, J. E., Koehler, B. E., Chalmers, A., & Anis, A. H. (2004). A comparison of four indirect methods of assessing utility values in rheumatoid arthritis. Medical Care, 42, 1125–1131.
Bryan, S., & Longworth, L. (2005). Measuring health-related utility: Why the disparity between EQ-5D and SF-6D? The European Journal of Health Economics, 6, 253–260.
Bailey, H., & Kind, P. (2010). Preliminary findings of an investigation into the relationship between national culture and EQ-5D value sets. Quality of Life Research, 19(8), 1145–1154.
Matter-Walstra, K., Klingbiel, D., Szucs, T., Pestalozzi, B. C., & Schwenkglenks, M. (2014). Using the EuroQol EQ-5D in Swiss cancer patients, which value set should be applied? PharmacoEconomics, 32(6), 591–599.
Kohli, M., Maschio, M., Becker, D., & Weinstein, M. C. (2021). The potential public health and economic value of a hypothetical COVID-19 vaccine in the United States: Use of cost-effectiveness modeling to inform vaccination prioritization. Vaccine, 39(7), 1157–1164.
Higgins, J. P., & Thompson, S. G. (2004). Controlling the risk of spurious findings from meta-regression. Statistics in Medicine, 23(11), 1663–1682.
Acknowledgements
The authors thank Ms Barbara Lejeune, of the University of Antwerp Library services, for assistance in developing and implementing the search strategy.
Funding
This work was co-funded by the Epipose (101003688) and ESCAPE (101095619) projects, of the European Union Horizon 2020 and Horizon Europe research and innovation programme. MJ acknowledges funding by UK Research and Innovation (UKRI) under the UK government’s Horizon Europe funding guarantee (grant number 10051037) and the NIHR Health Protection Research Unit in Modelling and Health Economics, a partnership between the UKHSA, Imperial College London and LSHTM (grant code NIHR200908). Views and opinions expressed are those of the author(s) only and do not necessarily reflect those of the European Union or European Health and Digital Executive Agency (HADEA), NIHR, UKHSA or DHSC. Neither the European Union nor the granting authority can be held responsible for them.
Author information
Authors and Affiliations
Contributions
This study was conceived and supervised by PB. Systematic literature search and data curation were conducted by ZM and XL, in consultation with PB. Data analyses and visualisation were conducted by ZM, in consultation with XL, MJ and PB. The first draft of the manuscript was written by ZM. All authors critically reviewed the manuscript and provided final approval of the manuscript.
Corresponding author
Ethics declarations
Conflict of interest
PB report grants from the European commission public–private IMI projects RESCEU and PROMISE and grants from Pfizer and Merck, all outside of the current work. All other authors report no potential conflicts of interest.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary Information
Below is the link to the electronic supplementary material.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Mao, Z., Li, X., Jit, M. et al. COVID-19-related health utility values and changes in COVID-19 patients and the general population: a scoping review. Qual Life Res 33, 1443–1454 (2024). https://doi.org/10.1007/s11136-023-03584-x
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11136-023-03584-x