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Determining the Agreement Between an Automated Respiratory Rate Counter and a Reference Standard for Detecting Symptoms of Pneumonia in Children: Protocol for a Cross-Sectional Study in Ethiopia

BACKGROUND: Acute respiratory infections (ARIs), primarily pneumonia, are the leading infectious cause of under-5 mortality worldwide. Manually counting respiratory rate (RR) for 60 seconds using an ARI timer is commonly practiced by community health workers to detect fast breathing, an important si...

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Autores principales: Ward, Charlotte, Baker, Kevin, Marks, Sarah, Getachew, Dawit, Habte, Tedila, McWhorter, Cindy, Labarre, Paul, Howard-Brand, Jonathan, Miller, Nathan P, Tarekegn, Hayalnesh, Deribessa, Solomie Jebessa, Petzold, Max, Kallander, Karin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7163412/
https://www.ncbi.nlm.nih.gov/pubmed/32238340
http://dx.doi.org/10.2196/16531
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author Ward, Charlotte
Baker, Kevin
Marks, Sarah
Getachew, Dawit
Habte, Tedila
McWhorter, Cindy
Labarre, Paul
Howard-Brand, Jonathan
Miller, Nathan P
Tarekegn, Hayalnesh
Deribessa, Solomie Jebessa
Petzold, Max
Kallander, Karin
author_facet Ward, Charlotte
Baker, Kevin
Marks, Sarah
Getachew, Dawit
Habte, Tedila
McWhorter, Cindy
Labarre, Paul
Howard-Brand, Jonathan
Miller, Nathan P
Tarekegn, Hayalnesh
Deribessa, Solomie Jebessa
Petzold, Max
Kallander, Karin
author_sort Ward, Charlotte
collection PubMed
description BACKGROUND: Acute respiratory infections (ARIs), primarily pneumonia, are the leading infectious cause of under-5 mortality worldwide. Manually counting respiratory rate (RR) for 60 seconds using an ARI timer is commonly practiced by community health workers to detect fast breathing, an important sign of pneumonia. However, correctly counting breaths manually and classifying the RR is challenging, often leading to inappropriate treatment. A potential solution is to introduce RR counters, which count and classify RR automatically. OBJECTIVE: This study aims to determine how the RR count of an Automated Respiratory Infection Diagnostic Aid (ARIDA) agrees with the count of an expert panel of pediatricians counting RR by reviewing a video of the child’s chest for 60 seconds (reference standard), for children aged younger than 5 years with cough and/or difficult breathing. METHODS: A cross-sectional study aiming to enroll 290 children aged 0 to 59 months presenting to pediatric in- and outpatient departments at a teaching hospital in Addis Ababa, Ethiopia, was conducted. Enrollment occurred between April and May 2017. Once enrolled, children participated in at least one of three types of RR evaluations: (1) agreement—measure the RR count of an ARIDA in comparison with the reference standard, (2) consistency—measure the agreement between two ARIDA devices strapped to one child, and (3) RR fluctuation—measure RR count variability over time after ARIDA attachment as measured by a manual count. The agreement and consistency of expert clinicians (ECs) counting RR for the same child with the Mark 2 ARI timer for 60 seconds was also measured in comparison with the reference standard. RESULTS: Primary outcomes were (1) mean difference between the ARIDA and reference standard RR count (agreement) and (2) mean difference between RR counts obtained by two ARIDA devices started simultaneously (consistency). CONCLUSIONS: Study strengths included the design allowing for comparison between both ARIDA and the EC with the reference standard RR count. A limitation is that exactly the same set of breaths were not compared between ARIDA and the reference standard since ARIDA can take longer than 60 seconds to count RR. Also, manual RR counting, even when aided by a video of the child’s chest movements, is subject to human error and can result in low interrater reliability. Further work is needed to reach global consensus on the most appropriate reference standard and an acceptable level of agreement to provide ministries of health with evidence to make an informed decision on whether to scale up new automated RR counters. TRIAL REGISTRATION: ClinicalTrials.gov NCT03067558; https://clinicaltrials.gov/ct2/show/NCT03067558 INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR1-10.2196/16531
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spelling pubmed-71634122020-04-28 Determining the Agreement Between an Automated Respiratory Rate Counter and a Reference Standard for Detecting Symptoms of Pneumonia in Children: Protocol for a Cross-Sectional Study in Ethiopia Ward, Charlotte Baker, Kevin Marks, Sarah Getachew, Dawit Habte, Tedila McWhorter, Cindy Labarre, Paul Howard-Brand, Jonathan Miller, Nathan P Tarekegn, Hayalnesh Deribessa, Solomie Jebessa Petzold, Max Kallander, Karin JMIR Res Protoc Protocol BACKGROUND: Acute respiratory infections (ARIs), primarily pneumonia, are the leading infectious cause of under-5 mortality worldwide. Manually counting respiratory rate (RR) for 60 seconds using an ARI timer is commonly practiced by community health workers to detect fast breathing, an important sign of pneumonia. However, correctly counting breaths manually and classifying the RR is challenging, often leading to inappropriate treatment. A potential solution is to introduce RR counters, which count and classify RR automatically. OBJECTIVE: This study aims to determine how the RR count of an Automated Respiratory Infection Diagnostic Aid (ARIDA) agrees with the count of an expert panel of pediatricians counting RR by reviewing a video of the child’s chest for 60 seconds (reference standard), for children aged younger than 5 years with cough and/or difficult breathing. METHODS: A cross-sectional study aiming to enroll 290 children aged 0 to 59 months presenting to pediatric in- and outpatient departments at a teaching hospital in Addis Ababa, Ethiopia, was conducted. Enrollment occurred between April and May 2017. Once enrolled, children participated in at least one of three types of RR evaluations: (1) agreement—measure the RR count of an ARIDA in comparison with the reference standard, (2) consistency—measure the agreement between two ARIDA devices strapped to one child, and (3) RR fluctuation—measure RR count variability over time after ARIDA attachment as measured by a manual count. The agreement and consistency of expert clinicians (ECs) counting RR for the same child with the Mark 2 ARI timer for 60 seconds was also measured in comparison with the reference standard. RESULTS: Primary outcomes were (1) mean difference between the ARIDA and reference standard RR count (agreement) and (2) mean difference between RR counts obtained by two ARIDA devices started simultaneously (consistency). CONCLUSIONS: Study strengths included the design allowing for comparison between both ARIDA and the EC with the reference standard RR count. A limitation is that exactly the same set of breaths were not compared between ARIDA and the reference standard since ARIDA can take longer than 60 seconds to count RR. Also, manual RR counting, even when aided by a video of the child’s chest movements, is subject to human error and can result in low interrater reliability. Further work is needed to reach global consensus on the most appropriate reference standard and an acceptable level of agreement to provide ministries of health with evidence to make an informed decision on whether to scale up new automated RR counters. TRIAL REGISTRATION: ClinicalTrials.gov NCT03067558; https://clinicaltrials.gov/ct2/show/NCT03067558 INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR1-10.2196/16531 JMIR Publications 2020-04-02 /pmc/articles/PMC7163412/ /pubmed/32238340 http://dx.doi.org/10.2196/16531 Text en ©Charlotte Ward, Kevin Baker, Sarah Marks, Dawit Getachew, Tedila Habte, Cindy McWhorter, Paul Labarre, Jonathan Howard-Brand, Nathan P Miller, Hayalnesh Tarekegn, Solomie Jebessa Deribessa, Max Petzold, Karin Kallander. Originally published in JMIR Research Protocols (http://www.researchprotocols.org), 02.04.2020. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Research Protocols, is properly cited. The complete bibliographic information, a link to the original publication on http://www.researchprotocols.org, as well as this copyright and license information must be included.
spellingShingle Protocol
Ward, Charlotte
Baker, Kevin
Marks, Sarah
Getachew, Dawit
Habte, Tedila
McWhorter, Cindy
Labarre, Paul
Howard-Brand, Jonathan
Miller, Nathan P
Tarekegn, Hayalnesh
Deribessa, Solomie Jebessa
Petzold, Max
Kallander, Karin
Determining the Agreement Between an Automated Respiratory Rate Counter and a Reference Standard for Detecting Symptoms of Pneumonia in Children: Protocol for a Cross-Sectional Study in Ethiopia
title Determining the Agreement Between an Automated Respiratory Rate Counter and a Reference Standard for Detecting Symptoms of Pneumonia in Children: Protocol for a Cross-Sectional Study in Ethiopia
title_full Determining the Agreement Between an Automated Respiratory Rate Counter and a Reference Standard for Detecting Symptoms of Pneumonia in Children: Protocol for a Cross-Sectional Study in Ethiopia
title_fullStr Determining the Agreement Between an Automated Respiratory Rate Counter and a Reference Standard for Detecting Symptoms of Pneumonia in Children: Protocol for a Cross-Sectional Study in Ethiopia
title_full_unstemmed Determining the Agreement Between an Automated Respiratory Rate Counter and a Reference Standard for Detecting Symptoms of Pneumonia in Children: Protocol for a Cross-Sectional Study in Ethiopia
title_short Determining the Agreement Between an Automated Respiratory Rate Counter and a Reference Standard for Detecting Symptoms of Pneumonia in Children: Protocol for a Cross-Sectional Study in Ethiopia
title_sort determining the agreement between an automated respiratory rate counter and a reference standard for detecting symptoms of pneumonia in children: protocol for a cross-sectional study in ethiopia
topic Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7163412/
https://www.ncbi.nlm.nih.gov/pubmed/32238340
http://dx.doi.org/10.2196/16531
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