Performance of prediction rules and guidelines in detecting serious bacterial infections among Tanzanian febrile children.

ABSTRACT:

Background

Health-workers in developing countries rely on clinical algorithms, such as the Integrated Management of Childhood Illnesses (IMCI), for the management of patients, including diagnosis of serious bacterial infections (SBI). The diagnostic accuracy of IMCI in detecting children with SBI is unknown. Prediction rules and guidelines for SBI from well-resourced countries at outpatient level may help to improve current guidelines; however, their diagnostic performance has not been evaluated in resource-limited countries, where clinical conditions, access to care, and diagnostic capacity differ. The aim of this study was to estimate the diagnostic accuracy of existing prediction rules and clinical guidelines in identifying children with SBI in a cohort of febrile children atten

SUBMITTER: Keitel K 

PROVIDER: S-EPMC6724300 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature