Blennerhassett A, Dunlop C, Lissauer D. Clinical management of deviations in maternal temperature during labour and childbirth: an evidence-based intrapartum care algorithm.
BJOG 2024;
131 Suppl 2:58-66. [PMID:
35411677 DOI:
10.1111/1471-0528.16730]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2020] [Revised: 11/02/2020] [Accepted: 11/07/2020] [Indexed: 11/27/2022]
Abstract
AIM
The development of an evidence-based algorithm for the clinical management of deviations in maternal temperature during labour and childbirth.
POPULATION
Pregnant women at any stage of labour, with singleton, term (37-42 weeks) pregnancies at low risk of developing complications.
SETTING
Health facilities in low- and middle-income countries.
SEARCH STRATEGY
We searched for international guidelines and prioritised WHO guidelines. 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.
CASE SCENARIOS
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.
CONCLUSIONS
We present an evidence-based 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.
TWEETABLE ABSTRACT
An evidence-based intrapartum care algorithm to support management of deviations in maternal temperature in labour and childbirth. #sepsis #maternitycare.
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