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Performance of Automated Point-of-Care Respiratory Rate Counting versus Manual Counting in Children under Five Admitted with Severe Febrile Illness to Kisantu Hospital, DR Congo

Authors :
Bieke Tack
Daniel Vita
Thomas Nsema Mbaki
Octavie Lunguya
Jaan Toelen
Jan Jacobs
Source :
Diagnostics, Vol 11, Iss 11, p 2078 (2021)
Publication Year :
2021
Publisher :
MDPI AG, 2021.

Abstract

To improve the early recognition of danger signs in children with severe febrile illness in low resource settings, WHO promotes automated respiratory rate (RR) counting, but its performance is unknown in this population. Therefore, we prospectively evaluated the field performance of automated point-of-care plethysmography-based RR counting in hospitalized children with severe febrile illness (p > 0.05). Children without fast breathing were mostly correctly classified (negative percent agreement: 98.3%). In conclusion, in the present setting the automated RR counter performed insufficiently to facilitate the early recognition of danger signs in children with severe febrile illness, given wide limits of agreement and a too low positive percent agreement.

Details

Language :
English
ISSN :
20754418
Volume :
11
Issue :
11
Database :
Directory of Open Access Journals
Journal :
Diagnostics
Publication Type :
Academic Journal
Accession number :
edsdoj.57db317df914be0ab1e494b560594c8
Document Type :
article
Full Text :
https://doi.org/10.3390/diagnostics11112078