{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,26]],"date-time":"2026-09-26T12:10:20Z","timestamp":1790424620635,"version":"4.1.0"},"reference-count":35,"publisher":"BMJ","issue":"4","content-domain":{"domain":["bmj.com"],"crossmark-restriction":true},"short-container-title":["BMJ Open"],"accepted":{"date-parts":[[2018,2,23]]},"published-print":{"date-parts":[[2018,4]]},"abstract":"<jats:sec>\n                  <jats:title>Objective<\/jats:title>\n                  <jats:p>To examine the associations between day of week and time of admission and 30-day mortality for six clinical conditions: ischaemic and haemorrhagic stroke, acute myocardial infarction, pneumonia, chronic obstructive pulmonary disease and congestive heart failure.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Design<\/jats:title>\n                  <jats:p>Retrospective population-based cohort analyses. Hospitalisation records were linked to emergency department and deaths data. Random-effect logistic regression models were used, adjusting for casemix and taking into account clustering within hospitals.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Setting<\/jats:title>\n                  <jats:p>All hospitals in New South Wales, Australia, from July 2009 to June 2012.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Participants<\/jats:title>\n                  <jats:p>Patients admitted to hospital with a primary diagnosis for one of the six clinical conditions examined.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Outcome measures<\/jats:title>\n                  <jats:p>Adjusted ORs for all-cause mortality within 30 days of admission, by day of week and time of day.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>A total of 148\u2009722 patients were included in the study, with 17\u2009721 deaths within 30 days of admission. Day of week of admission was not associated with significantly higher likelihood of death for five of the six conditions after adjusting for casemix. There was significant variation in mortality for chronic obstructive pulmonary disease by day of week; however, this was not consistent with a strict weekend effect (Thursday: OR 1.29, 95%\u2009CI 1.12 to 1.48; Friday: OR 1.25, 95%\u2009CI 1.08 to 1.44; Saturday: OR 1.18, 95%\u2009CI 1.02 to 1.37; Sunday OR 1.05, 95%\u2009CI 0.90 to 1.22; compared with Monday). There was evidence for a night effect for patients admitted for stroke (ischaemic: OR 1.30, 95%\u2009CI 1.17 to 1.45; haemorrhagic: OR 1.58, 95%\u2009CI 1.40 to 1.78).<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Conclusions<\/jats:title>\n                  <jats:p>Mortality outcomes for these conditions, adjusted for casemix, do not vary in accordance with the weekend effect hypothesis. Our findings support a growing body of evidence that questions the ubiquity of the weekend effect.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1136\/bmjopen-2017-016943","type":"journal-article","created":{"date-parts":[[2018,4,13]],"date-time":"2018-04-13T02:27:28Z","timestamp":1523586448000},"page":"e016943","update-policy":"https:\/\/doi.org\/10.1136\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":17,"title":["Is the weekend effect really ubiquitous? A retrospective clinical cohort analysis of 30-day mortality by day of week and time of day using linked population data from New South Wales, Australia"],"prefix":"10.1136","volume":"8","author":[{"given":"Heather J","family":"Baldwin","sequence":"first","affiliation":[{"name":"Bureau of Health Information, Chatswood, New South Wales, Australia"},{"name":"Centre for Epidemiology and Evidence, New South Wales Ministry of Health, Sydney, New South Wales, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sadaf","family":"Marashi-Pour","sequence":"additional","affiliation":[{"name":"Bureau of Health Information, Chatswood, New South Wales, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Huei-Yang","family":"Chen","sequence":"additional","affiliation":[{"name":"Bureau of Health Information, Chatswood, New South Wales, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jill","family":"Kaldor","sequence":"additional","affiliation":[{"name":"Bureau of Health Information, Chatswood, New South Wales, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kim","family":"Sutherland","sequence":"additional","affiliation":[{"name":"Bureau of Health Information, Chatswood, New South Wales, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jean-Frederic","family":"Levesque","sequence":"additional","affiliation":[{"name":"Centre for Primary Health Care and Equity, University of New South Wales, Sydney, New South Wales, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"239","published-online":{"date-parts":[[2018,4,12]]},"reference":[{"key":"2025101812243775000_8.4.e016943.1","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMsa003376"},{"key":"2025101812243775000_8.4.e016943.2","doi-asserted-by":"crossref","unstructured":"Lilford RJ , Chen Y-F . 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