Journal article
Embedding surveillance into clinical care to detect serious adverse events in pregnancy
- Abstract:
- Severe maternal complications in pregnancy in sub-Saharan Africa contribute to high maternal mortality and morbidity. Incidence data on severe maternal complications, life-threatening conditions, maternal deaths and birth outcomes are essential for clinical audit and to inform trial design of the types and frequency of expected severe adverse events (SAEs). However, such data are very limited, especially in sub-Saharan Africa. We set up standardized, systematic clinical surveillance embedded into routine clinical care in a rural county hospital in Kenya. Pregnant women and newborns are systematically assessed and investigated. Data are reported using a standardized Maternal Admission Record that forms both the hospital's clinical record and the data collection tool. Integrating clinical surveillance with routine clinical care is feasible and should be expanded in subSaharan Africa, both for improving clinical practice and as a basis for intervention studies to reduce maternal and newborn mortality and morbidity where rates are highest.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 182.9KB, Terms of use)
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- Publisher copy:
- 10.1016/j.vaccine.2015.07.086
Authors
- Publisher:
- Elsevier
- Journal:
- Vaccine More from this journal
- Volume:
- 33
- Issue:
- 47
- Pages:
- 6466-6468
- Publication date:
- 2015-08-01
- DOI:
- EISSN:
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1873-2518
- ISSN:
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0264-410X
- Language:
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English
- Keywords:
- Pubs id:
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pubs:539785
- UUID:
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uuid:7020562d-ab8e-4839-902d-e23387192c93
- Local pid:
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pubs:539785
- Source identifiers:
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539785
- Deposit date:
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2016-03-18
- ARK identifier:
Terms of use
- Copyright holder:
- Berkley et al
- Copyright date:
- 2015
- Notes:
- Copyright © 2015 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
- Licence:
- CC Attribution (CC BY)
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