{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,22]],"date-time":"2026-07-22T17:16:39Z","timestamp":1784740599829,"version":"3.55.0"},"reference-count":33,"publisher":"BMJ","issue":"10","license":[{"start":{"date-parts":[[2025,10,24]],"date-time":"2025-10-24T00:00:00Z","timestamp":1761264000000},"content-version":"unspecified","delay-in-days":23,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":["bmj.com"],"crossmark-restriction":true},"short-container-title":["BMJ Open"],"accepted":{"date-parts":[[2025,10,3]]},"published-print":{"date-parts":[[2025,10]]},"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Coronavirus disease 2019 (COVID-19) caused a global public emergency between 2020 and 2022 with various morbidity and mortality across the regions. While the impact in sub-Saharan Africa appeared relatively limited, data from regional referral hospitals remain scarce.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>To determine the in-hospital mortality rate, risk factors and clinical characteristics of COVID-19 patients admitted to the COVID-19 treatment unit (CTU) at Lira Regional Referral Hospital (LRRH) in northern Uganda<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Design<\/jats:title>\n                    <jats:p>Cross-sectional study with the use of secondary data<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Setting<\/jats:title>\n                    <jats:p>This study was conducted at LRRH between January 2023 and December 2023. The data used were for patients admitted from May 2020 to March 2022.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Participant<\/jats:title>\n                    <jats:p>Records of 490 patients admitted with laboratory confirmed COVID-19 were collected and analysed. Selection was by simple census sampling technique. Inclusion criteria were moderately to critically ill patients and those with mild\/asymptomatic infection but with comorbidities.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Of the 490 participants, 52% were females and 41% were aged \u226560 years. The most common symptoms were cough (89.6%), difficulty in breathing (78.8%) and chest pain (69.3%). Hypertension (30%), diabetes mellitus (19.5%) and human immunodeficiency virus (10%) were the leading comorbidities. Severe and critical illness was observed in 40% and 7% of cases, respectively. The overall in-hospital mortality rate was 29%. Factors significantly associated with reduced mortality included normal oxygen saturation (SPO\n                      <jats:sub>2<\/jats:sub>\n                      ) (adjusted odds ratios (aOR) 0.11, 95%\u2009CI 0.03 to 0.44), normal body temperature (aOR 0.22, 95%\u2009CI 0.05 to 0.99), absence of chronic liver disease (aOR 0.01, 95%\u2009CI 0.001 to 0.46) and younger age (31\u201345 years; aOR 0.14, 95%\u2009CI 0.03 to 0.74).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>The study revealed a high in-hospital mortality rate of 29% among COVID-19 patients admitted to the CTU at LRRH, primarily driven by severe disease presentation and limited access to critical interventions such as oxygen therapy. Independent predictors of survival included younger age, normal oxygen saturation, absence of chronic liver disease and normal body temperature at admission. These findings underscore the urgent need for early identification of high-risk patients and improved access to supportive care, particularly oxygen delivery systems, to reduce mortality in future outbreaks. Strengthening diagnostic capacity, clinical monitoring and preparedness for respiratory pandemics\u2014alongside prospective studies capturing broader patient data\u2014will be essential to refine response strategies and improve outcomes.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1136\/bmjopen-2024-094648","type":"journal-article","created":{"date-parts":[[2025,10,24]],"date-time":"2025-10-24T07:35:41Z","timestamp":1761291341000},"page":"e094648","update-policy":"https:\/\/doi.org\/10.1136\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":1,"title":["Mortality and associated factors among hospitalised COVID-19 patients in Lira regional referral hospital, a cross-sectional study"],"prefix":"10.1136","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-7150-0825","authenticated-orcid":false,"given":"Augustine","family":"Ongoli","sequence":"first","affiliation":[{"name":"Public Health, Lira University, Lira, Uganda"},{"name":"Internal Medicine, Lira 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