Authors: Abdullah H Baqui et al.
This study aims to validate trained community health workers’ (CHWs’) recognition of signs and symptoms of newborn illnesses and classification of illnesses using a clinical algorithm during routine home visits in rural Bangladesh. Between August 2005 and May 2006, 288 newborns were assessed independently by a CHW and a study physician. Based on a 20-sign algorithm, sick neonates were classified as having very severe disease (VSD), possible very severe disease (PVSD) or no disease. Physician’s assessment was considered as the gold standard. CHWs with minimal training can use a diagnostic algorithm to identify severely ill newborns with high validity.
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Resource Topic: Community Assessment, Community Health Workers/Volunteers, Maternal, Newborn and Child Health, Performance management, Task shifting
Resource Type: Journal articles, Research
Year: 2009
Region:
Country: Bangladesh
Publisher May Restrict Access: No