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This systematic review and meta-analysis aimed to synthesize the existing literature on HRQoL in COVID-19 patients.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      We conducted a systematic search of PubMed, Embase, Web of Science, Scopus, and the Cochrane Library for studies published between December 2019 and March 2025. Eligible studies were peer-reviewed and assessed HRQoL in COVID-19 patients using the EQ-5D instrument. Study quality and risk of bias were evaluated using the Newcastle-Ottawa Scale. Pooled health utility values were estimated using a random-effects model, and heterogeneity was assessed via I\n                      <jats:sup>2<\/jats:sup>\n                      statistics. Predictors of poor HRQoL were qualitatively narrated.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Out of 3539 references, 187 studies with 116,525 participants were analyzed. The majority (80.2%) used the EQ-5D-5\u00a0L version. The pooled mean EQ-5D utility score was 0.76 (95% CI 0.74\u20130.79, I\n                      <jats:sup>2<\/jats:sup>\n                      = 99.9%) while the mean EQ-5D Visual Analogue Scale (VAS) score was 70.76 (95% CI 68.48\u201373.04; I\n                      <jats:sup>2<\/jats:sup>\n                      = 99.7%). Pain\/discomfort and anxiety\/depression were the most affected domains, reported by 51% and 46% of patients, respectively. Subgroup analysis showed significant differences in HRQoL based on national income status (\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.038) and geographic region (\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.001). Common predictors of lower HRQoL included older age, female gender, disease severity, comorbidities, and post-COVID-19 symptoms.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>This systematic review demonstrates a substantial reduction in HRQoL among COVID-19 patients compared to the general population. The pooled utility values of COVID-19 contribute to understanding patients\u2019 HRQoL and can assist in calculating Quality-Adjusted Life Years. This provides essential data for future economic evaluations and informs health policy decisions.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1186\/s12955-025-02421-8","type":"journal-article","created":{"date-parts":[[2025,10,7]],"date-time":"2025-10-07T17:33:11Z","timestamp":1759858391000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":18,"title":["Health-related quality of life in COVID-19 patients: a systematic review and meta-analysis of EQ-5D studies"],"prefix":"10.1186","volume":"23","author":[{"given":"Kidu","family":"Gidey","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yirga Legesse","family":"Niriayo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Solomon Weldegebreal","family":"Asgedom","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Erica","family":"Lubetkin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,10,7]]},"reference":[{"issue":"4","key":"2421_CR1","doi-asserted-by":"publisher","first-page":"334","DOI":"10.1016\/j.bj.2020.05.023","volume":"43","author":"S Chauhan","year":"2020","unstructured":"Chauhan S. 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