Cargando…

Automated Respiratory Rate Counter to Assess Children for Symptoms of Pneumonia: Protocol for Cross-Sectional Usability and Acceptability Studies in Ethiopia and Nepal

BACKGROUND: Manually counting a child’s respiratory rate (RR) for 60 seconds using an acute respiratory infection timer is the World Health Organization (WHO) recommended method for detecting fast breathing as a sign of pneumonia. However, counting the RR is challenging and misclassification of an o...

Descripción completa

Detalles Bibliográficos
Autores principales: Baker, Kevin, Maurel, Alice, Ward, Charlotte, Getachew, Dawit, Habte, Tedila, McWhorter, Cindy, LaBarre, Paul, Karlström, Jonas, Petzold, Max, Källander, Karin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7154937/
https://www.ncbi.nlm.nih.gov/pubmed/32224491
http://dx.doi.org/10.2196/14405
_version_ 1783521929764798464
author Baker, Kevin
Maurel, Alice
Ward, Charlotte
Getachew, Dawit
Habte, Tedila
McWhorter, Cindy
LaBarre, Paul
Karlström, Jonas
Petzold, Max
Källander, Karin
author_facet Baker, Kevin
Maurel, Alice
Ward, Charlotte
Getachew, Dawit
Habte, Tedila
McWhorter, Cindy
LaBarre, Paul
Karlström, Jonas
Petzold, Max
Källander, Karin
author_sort Baker, Kevin
collection PubMed
description BACKGROUND: Manually counting a child’s respiratory rate (RR) for 60 seconds using an acute respiratory infection timer is the World Health Organization (WHO) recommended method for detecting fast breathing as a sign of pneumonia. However, counting the RR is challenging and misclassification of an observed rate is common, often leading to inappropriate treatment. To address this gap, the acute respiratory infection diagnostic aid (ARIDA) project was initiated in response to a call for better pneumonia diagnostic aids and aimed to identify and assess automated RR counters for classifying fast breathing pneumonia when used by front-line health workers in resource-limited community settings and health facilities. The Children’s Automated Respiration Monitor (ChARM), an automated RR diagnostic aid using accelerometer technology developed by Koninklijke Philips NV, and the Rad-G, a multimodal RR diagnostic and pulse oximeter developed by Masimo, were the two devices tested in these studies conducted in the Southern Nations, Nationalities, and Peoples’ Region in Ethiopia and in the Karnali region in Nepal. OBJECTIVE: In these studies, we aimed to understand the usability of two new automated RR diagnostic aids for community health workers (CHWs; health extension workers [Ethiopia] and female community health volunteers [Nepal]) and their acceptability to CHWs in Ethiopia and Nepal, first-level health facility workers (FLHFWs) in Ethiopia only, and caregivers in both Ethiopia and Nepal. METHODS: This was a prospective, cross-sectional study with a mixed methods design. CHWs and FLHFWs were trained to use both devices and provided with refresher training on all WHO requirements to assess fast breathing. Immediately after training, CHWs were observed using ARIDA on two children. Routine pneumonia case management consultations for children aged 5 years and younger and the device used for these consultations between the first and second consultations were recorded by CHWs in their patient log books. CHWs were observed a second time after 2 months. Semistructured interviews were also conducted with CHWs, FLHFWs, and caregivers. The proportion of consultations with children aged 5 years and younger where CHWs using an ARIDA and adhered to all WHO requirements to assess fast breathing and device manufacturer instructions for use after 2 months will be calculated. Qualitative data from semistructured interviews will be analyzed using a thematic framework approach. RESULTS: The ARIDA project was funded in November 2015, and data collection was conducted between April and December 2018. Data analysis is currently under way and the first results are expected to be submitted for publication in 2020. CONCLUSIONS: This is the first time the usability and acceptability of automated RR counters in low-resource settings have been evaluated. Outcomes will be relevant for policy makers and are important for future research of this new class of diagnostic aids for the management of children with suspected pneumonia. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/14405
format Online
Article
Text
id pubmed-7154937
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher JMIR Publications
record_format MEDLINE/PubMed
spelling pubmed-71549372020-04-21 Automated Respiratory Rate Counter to Assess Children for Symptoms of Pneumonia: Protocol for Cross-Sectional Usability and Acceptability Studies in Ethiopia and Nepal Baker, Kevin Maurel, Alice Ward, Charlotte Getachew, Dawit Habte, Tedila McWhorter, Cindy LaBarre, Paul Karlström, Jonas Petzold, Max Källander, Karin JMIR Res Protoc Protocol BACKGROUND: Manually counting a child’s respiratory rate (RR) for 60 seconds using an acute respiratory infection timer is the World Health Organization (WHO) recommended method for detecting fast breathing as a sign of pneumonia. However, counting the RR is challenging and misclassification of an observed rate is common, often leading to inappropriate treatment. To address this gap, the acute respiratory infection diagnostic aid (ARIDA) project was initiated in response to a call for better pneumonia diagnostic aids and aimed to identify and assess automated RR counters for classifying fast breathing pneumonia when used by front-line health workers in resource-limited community settings and health facilities. The Children’s Automated Respiration Monitor (ChARM), an automated RR diagnostic aid using accelerometer technology developed by Koninklijke Philips NV, and the Rad-G, a multimodal RR diagnostic and pulse oximeter developed by Masimo, were the two devices tested in these studies conducted in the Southern Nations, Nationalities, and Peoples’ Region in Ethiopia and in the Karnali region in Nepal. OBJECTIVE: In these studies, we aimed to understand the usability of two new automated RR diagnostic aids for community health workers (CHWs; health extension workers [Ethiopia] and female community health volunteers [Nepal]) and their acceptability to CHWs in Ethiopia and Nepal, first-level health facility workers (FLHFWs) in Ethiopia only, and caregivers in both Ethiopia and Nepal. METHODS: This was a prospective, cross-sectional study with a mixed methods design. CHWs and FLHFWs were trained to use both devices and provided with refresher training on all WHO requirements to assess fast breathing. Immediately after training, CHWs were observed using ARIDA on two children. Routine pneumonia case management consultations for children aged 5 years and younger and the device used for these consultations between the first and second consultations were recorded by CHWs in their patient log books. CHWs were observed a second time after 2 months. Semistructured interviews were also conducted with CHWs, FLHFWs, and caregivers. The proportion of consultations with children aged 5 years and younger where CHWs using an ARIDA and adhered to all WHO requirements to assess fast breathing and device manufacturer instructions for use after 2 months will be calculated. Qualitative data from semistructured interviews will be analyzed using a thematic framework approach. RESULTS: The ARIDA project was funded in November 2015, and data collection was conducted between April and December 2018. Data analysis is currently under way and the first results are expected to be submitted for publication in 2020. CONCLUSIONS: This is the first time the usability and acceptability of automated RR counters in low-resource settings have been evaluated. Outcomes will be relevant for policy makers and are important for future research of this new class of diagnostic aids for the management of children with suspected pneumonia. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/14405 JMIR Publications 2020-03-30 /pmc/articles/PMC7154937/ /pubmed/32224491 http://dx.doi.org/10.2196/14405 Text en ©Kevin Nicholas Baker, Alice Maurel, Charlotte Ward, Dawit Getachew, Tedila Habte, Cindy McWhorter, Paul LaBarre, Jonas Karlström, Max Petzold, Karin Källander. Originally published in JMIR Research Protocols (http://www.researchprotocols.org), 30.03.2020. 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
Baker, Kevin
Maurel, Alice
Ward, Charlotte
Getachew, Dawit
Habte, Tedila
McWhorter, Cindy
LaBarre, Paul
Karlström, Jonas
Petzold, Max
Källander, Karin
Automated Respiratory Rate Counter to Assess Children for Symptoms of Pneumonia: Protocol for Cross-Sectional Usability and Acceptability Studies in Ethiopia and Nepal
title Automated Respiratory Rate Counter to Assess Children for Symptoms of Pneumonia: Protocol for Cross-Sectional Usability and Acceptability Studies in Ethiopia and Nepal
title_full Automated Respiratory Rate Counter to Assess Children for Symptoms of Pneumonia: Protocol for Cross-Sectional Usability and Acceptability Studies in Ethiopia and Nepal
title_fullStr Automated Respiratory Rate Counter to Assess Children for Symptoms of Pneumonia: Protocol for Cross-Sectional Usability and Acceptability Studies in Ethiopia and Nepal
title_full_unstemmed Automated Respiratory Rate Counter to Assess Children for Symptoms of Pneumonia: Protocol for Cross-Sectional Usability and Acceptability Studies in Ethiopia and Nepal
title_short Automated Respiratory Rate Counter to Assess Children for Symptoms of Pneumonia: Protocol for Cross-Sectional Usability and Acceptability Studies in Ethiopia and Nepal
title_sort automated respiratory rate counter to assess children for symptoms of pneumonia: protocol for cross-sectional usability and acceptability studies in ethiopia and nepal
topic Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7154937/
https://www.ncbi.nlm.nih.gov/pubmed/32224491
http://dx.doi.org/10.2196/14405
work_keys_str_mv AT bakerkevin automatedrespiratoryratecountertoassesschildrenforsymptomsofpneumoniaprotocolforcrosssectionalusabilityandacceptabilitystudiesinethiopiaandnepal
AT maurelalice automatedrespiratoryratecountertoassesschildrenforsymptomsofpneumoniaprotocolforcrosssectionalusabilityandacceptabilitystudiesinethiopiaandnepal
AT wardcharlotte automatedrespiratoryratecountertoassesschildrenforsymptomsofpneumoniaprotocolforcrosssectionalusabilityandacceptabilitystudiesinethiopiaandnepal
AT getachewdawit automatedrespiratoryratecountertoassesschildrenforsymptomsofpneumoniaprotocolforcrosssectionalusabilityandacceptabilitystudiesinethiopiaandnepal
AT habtetedila automatedrespiratoryratecountertoassesschildrenforsymptomsofpneumoniaprotocolforcrosssectionalusabilityandacceptabilitystudiesinethiopiaandnepal
AT mcwhortercindy automatedrespiratoryratecountertoassesschildrenforsymptomsofpneumoniaprotocolforcrosssectionalusabilityandacceptabilitystudiesinethiopiaandnepal
AT labarrepaul automatedrespiratoryratecountertoassesschildrenforsymptomsofpneumoniaprotocolforcrosssectionalusabilityandacceptabilitystudiesinethiopiaandnepal
AT karlstromjonas automatedrespiratoryratecountertoassesschildrenforsymptomsofpneumoniaprotocolforcrosssectionalusabilityandacceptabilitystudiesinethiopiaandnepal
AT petzoldmax automatedrespiratoryratecountertoassesschildrenforsymptomsofpneumoniaprotocolforcrosssectionalusabilityandacceptabilitystudiesinethiopiaandnepal
AT kallanderkarin automatedrespiratoryratecountertoassesschildrenforsymptomsofpneumoniaprotocolforcrosssectionalusabilityandacceptabilitystudiesinethiopiaandnepal