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In addition, we searched for other sources of evidence in the Cochrane Database of Systematic Reviews, EMBASE, MEDLINE and CINAHL until June 2020. Studies were prioritised according to the hierarchy of evidence.<\/jats:p><\/jats:sec><jats:sec><jats:title>Case scenarios<\/jats:title><jats:p>Two case scenarios were identified: maternal hyperthermia and hypothermia. We developed a single algorithm including both, due to commonalities in diagnosis, monitoring and management of underlying causes. The underlying conditions covered in the pathway include maternal sepsis and infection, chorioamnionitis, pyelonephritis, lower urinary tract and respiratory infections. Key decision points in the algorithm are suspicion of condition, definition, differential diagnosis, monitoring and management.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>We present an evidence\u2010based algorithm to assist healthcare professionals in making decisions about appropriate clinical management of deviations in maternal temperature. Research is needed to assess the views of healthcare professionals and women accessing healthcare on the feasibility of implementing the algorithm.<\/jats:p><\/jats:sec><jats:sec><jats:title>Tweetable abstract<\/jats:title><jats:p>An evidence\u2010based intrapartum care algorithm to support management of deviations in maternal temperature in labour and childbirth. #sepsis #maternitycare.<\/jats:p><\/jats:sec>","DOI":"10.1111\/1471-0528.16730","type":"journal-article","created":{"date-parts":[[2022,4,12]],"date-time":"2022-04-12T02:59:17Z","timestamp":1649732357000},"page":"58-66","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Clinical management of deviations in maternal temperature during labour and childbirth: an evidence\u2010based intrapartum care algorithm"],"prefix":"10.1111","volume":"131","author":[{"given":"A","family":"Blennerhassett","sequence":"first","affiliation":[{"name":"Institute of Metabolism and Systems Research University of Birmingham  Birmingham UK"},{"name":"World Health Organization Collaborating Centre for Global Women\u2019s Health Research University of Birmingham  Birmingham UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"C","family":"Dunlop","sequence":"additional","affiliation":[{"name":"Institute of Metabolism and Systems Research University of Birmingham  Birmingham UK"},{"name":"World Health Organization Collaborating Centre for Global Women\u2019s Health Research University of Birmingham  Birmingham UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"D","family":"Lissauer","sequence":"additional","affiliation":[{"name":"Institute of Life Course and Medical Sciences University of Liverpool  Liverpool UK"},{"name":"Malawi\u2010Liverpool\u2010Wellcome Trust Clinical Research Programme College of Medicine Blantyre Malawi"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"name":"the WHO Intrapartum Care Algorithms Working Group","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2022,4,11]]},"reference":[{"key":"e_1_2_7_2_1","volume-title":"Maternal Health and Safe Motherhood Programme. 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