Clinical algorithms for the identification of sick newborns in community‐based settings

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Abstract:

Abstract

Clinical algorithms can be powerful tools for the identification of sick newborns at risk of neonatal mortality. Several studies have evaluated clinical signs for newborns aged 0–60 days to identify severe illness; however, few studies have focused specifically on the most vulnerable time period for neonatal death, the first week of life. Therefore, we reviewed the studies that evaluated clinical signs in newborns 0–60 days, focusing on infants 0 to <7 days. Based on a comparison of relevant studies, we then identified the common, important clinical signs shown to be useful for the identification of at‐risk newborns by health workers in community‐based and low‐resource settings.

Conclusion:  We concluded that further work is urgently needed to develop a clinical algorithm for widespread validation in various community‐based settings, which focuses specifically on newborns <7 days at risk of early neonatal mortality.

Document Type: Research Article

DOI: http://dx.doi.org/10.1111/j.1651-2227.2011.02540.x

Affiliations: 1:  Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, USA 2:  Research Triangle Institute, Durham, NC, USA 3:  Drexel University College of Medicine, Philadelphia, PA, USA

Publication date: April 1, 2012

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