{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,2]],"date-time":"2026-07-02T07:38:30Z","timestamp":1782977910705,"version":"3.54.5"},"reference-count":70,"publisher":"Oxford University Press (OUP)","issue":"2","license":[{"start":{"date-parts":[[2026,3,7]],"date-time":"2026-03-07T00:00:00Z","timestamp":1772841600000},"content-version":"vor","delay-in-days":6,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100000272","name":"National Institute for Health Research","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100000272","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Biomedical Research Centre at South London and Maudsley"},{"name":"National Health Service Foundation Trust"},{"name":"King\u2019s College London"},{"name":"National Health Service"},{"DOI":"10.13039\/501100000272","name":"National Institute for Health Research","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100000272","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100004856","name":"Department of Health","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100004856","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,3,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>The physical and psychological impact of caring for patients during a coronavirus public health emergency had adverse effects on healthcare workers (HCW), including fatigue.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Aims<\/jats:title>\n                    <jats:p>To examine the prevalence of fatigue among HCW during severe acute respiratory syndrome (SARS), Middle East respiratory syndrome (MERS) or Coronavirus disease 19 (COVID-19) and identify associated risk and protective factors.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Systematic searches of Embase, PsycINFO, Ovid-MEDLINE, CINAHL, HMIC and the Cochrane Library were conducted to July 2024. Inclusion criteria were English-language quantitative reports of fatigue in HCW during COVID-19, SARS and MERS. Random-effects meta-analyses were used to estimate pooled prevalence. Subgroup analyses examined fatigue by role, frontline status and personal protective equipment (PPE).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Eighty-eight articles (n\u2009=\u200974\u00a0914) met our inclusion criteria; 32 were eligible for meta-analysis. The pooled prevalence of fatigue was 55% (95% CI 46\u201365%, k\u2009=\u200932). Mental fatigue was reported by 58% (95% CI 17\u201390%, k\u2009=\u20094), while 53% (95% CI 38\u201367%, k\u2009=\u200911) experienced fatigue related to PPE use. No significant differences were observed between doctors and nurses (P\u2009=\u20090.327) or frontline and non-frontline staff (P\u2009=\u20090.103). Risk factors included stress, anxiety, depressive symptoms, workload and extended working hours, while resilience, self-efficacy and sufficient rest were protective. Substantial heterogeneity (I2 \u223c99%) and reliance on cross-sectional designs limited causal inference.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Our study indicated that over half of HCW reported fatigue and highlighted its multifactorial nature. Organizational-level interventions, such as optimized shift patterns, mandated rest breaks and psychological support are essential to mitigate fatigue, safeguard wellbeing and ensure safe healthcare provision.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1093\/occmed\/kqag015","type":"journal-article","created":{"date-parts":[[2026,1,31]],"date-time":"2026-01-31T12:38:34Z","timestamp":1769863114000},"page":"132-143","source":"Crossref","is-referenced-by-count":1,"title":["Healthcare worker fatigue during COVID-19, SARS, and MERS: a meta-analysis"],"prefix":"10.1093","volume":"76","author":[{"given":"K","family":"Poole-Wright","sequence":"first","affiliation":[{"name":"Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King\u2019s College London , London SE5 8AB,","place":["UK"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"H","family":"Woodhall","sequence":"additional","affiliation":[{"name":"Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King\u2019s College London , London SE5 8AB,","place":["UK"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0775-1045","authenticated-orcid":false,"given":"T","family":"Chalder","sequence":"additional","affiliation":[{"name":"Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King\u2019s College London , London SE5 8AB,","place":["UK"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2026,3,7]]},"reference":[{"key":"2026042017462135400_kqag015-B1","doi-asserted-by":"crossref","first-page":"80","DOI":"10.1186\/s12912-022-00860-y","article-title":"Personal and professional quality of life among French health care workers during the first COVID-19 wave: a cross-sectional study","volume":"21","author":"Grelier","year":"2022","journal-title":"BMC 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