Evidence of quality of life for hospitalised patients with COVID-19: a scoping review.

Autor: Webb EJ; Academic Unit of Health Economics, Leeds Institute of Health Sciences, University of Leeds, Leeds, UK., King N; Academic Unit of Health Economics, Leeds Institute of Health Sciences, University of Leeds, Leeds, UK., Howdon D; Academic Unit of Health Economics, Leeds Institute of Health Sciences, University of Leeds, Leeds, UK., Carrol ED; Department of Clinical Infection Microbiology and Immunology, Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, UK., Euden J; Centre for Trials Research, College of Biomedical and Life Sciences, Cardiff University, Cardiff, UK., Howard P; School of Healthcare, Faculty of Medicine and Health, University of Leeds, Leeds, UK.; Department of Medicines Management and Pharmacy, Leeds Teaching Hospitals, Leeds General Infirmary, Leeds, UK., Pallmann P; Centre for Trials Research, College of Biomedical and Life Sciences, Cardiff University, Cardiff, UK., Llewelyn MJ; Brighton and Sussex Medical School, University of Sussex and University Hospitals Sussex NHS Foundation Trust, Brighton, UK., Thomas-Jones E; Centre for Trials Research, College of Biomedical and Life Sciences, Cardiff University, Cardiff, UK., Shinkins B; Academic Unit of Health Economics, Leeds Institute of Health Sciences, University of Leeds, Leeds, UK.; Division of Health Sciences, Warwick Medical School, University of Warwick, Warwick, UK., Sandoe J; Healthcare Associated Infection Group, Leeds Institute of Medical Research, School of Medicine, University of Leeds, Leeds, UK.; Leeds Teaching Hospitals NHS Trust, Leeds, UK.
Jazyk: angličtina
Zdroj: Health technology assessment (Winchester, England) [Health Technol Assess] 2024 May 22, pp. 1-23. Date of Electronic Publication: 2024 May 22.
DOI: 10.3310/ATPR4281
Abstrakt: Background: Information on the quality of life of people hospitalised with COVID-19 is important, both in assessing the burden of disease and the cost-effectiveness of treatments. However, there were potential barriers to collecting such evidence.
Objective: To review the existing evidence on quality of life for people hospitalised with COVID-19, with a focus on the amount of evidence available and methods used.
Design: A scoping review with systematic searches.
Results: A total of 35 papers were selected for data extraction. The most common study type was economic evaluation ( N  = 13), followed by cross-sectional ( N  = 10). All economic evaluations used published utility values for other conditions to represent COVID-19 inpatients' quality of life. The most popular quality-of-life survey measure was the Pittsburgh Sleep Quality Index ( N  = 8). There were 12 studies that used a mental health-related survey and 12 that used a sleep-related survey. Five studies used EQ-5D, but only one collected responses from people in the acute phase of COVID-19. Studies reported a negative impact on quality of life for people hospitalised with COVID-19, although many studies did not include a formal comparison group.
Limitations: Although it used systematic searches, this was not a full systematic review.
Conclusion: Quality-of-life data were collected from people hospitalised with COVID-19 from relatively early in the pandemic. However, there was a lack of consensus as to what survey measures to use, and few studies used generic health measures. Economic evaluations for COVID-19 treatments did not use utilities collected from people with COVID-19. In future health crises, researchers should be vigilant for opportunities to collect quality-of-life data from hospitalised patients but should try to co-ordinate as well as ensuring generic health measures are used more.
Funding: This article presents independent research funded by the National Institute for Health and Care Research (NIHR) Health Technology Assessment programme as award number NIHR132254.
Databáze: MEDLINE