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Respiratory rate counters in paediatric pneumonia diagnosis

Population Size

Not reported

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Years

2021

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Associated BioSamples

None/not available

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Geographic coverage

Bangladesh

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Lead time

Other

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Dataset

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Collection(s)

Data Custodian

Summary

Documentation

Fast breathing is the most common sign of childhood pneumonia. It is identified by observing the child’s chest and counting respiratory rate (RR). However, manual count of RR is challenging for the health workers often resulting in misdiagnosis of pneumonia. The availability of novel RR counters (e.g., ChARM, Masimo Rad-G, uPM60) can support health workers by detecting fast breathing automatically. However, the absence of an appropriate reference standard to evaluate the performance of these devices is a challenge. The commonly used reference standard is manual RR counts by a human expert which might be biased. If good quality videos could be captured and RR interpretation from these videos could be systematically conducted, it could be an ideal and non-biased reference standard. This study is designed to develop a video expert panel (VEP) as a reference standard to evaluate automated RR counters to identify pneumonia in children. The study will assess the performance of ChARM device in terms of accuracy of counting RR, duration to take the count and any potential influence of the device on RR counts. The study will record the child’s chest movements, and the recorded videos will be interpreted by the VEP. A mechanism to interpret RR from the recorded videos and maintain ongoing quality control will be established. This study will be carried out in Bangladesh in two phases. Eligible children will be 0-2 months old presenting with any illness and 2-59 months old presenting with suspected pneumonia (cough and/or breathing difficulty). In Phase-I, we will develop a process of videography of the child’s chest movements and interpretation of RR by a VEP. We will establish the process of capturing good quality videos, making a set of reference videos and will train and standardise the VEP members using those reference videos. We will record videos from a hospital in Dhaka. We will take videos of child’s chest movements both with and without using of ChARM. In Phase-II, we will conduct a cross-sectional study in rural Sylhet for evaluation of the performance of ChARM device. We will enrol children presenting at first level health facilities and a sub-district hospital. This study will provide evidence to establish the videography of child’s chest movements and its interpretation by a VEP as an appropriate and non-biased reference standard to evaluate the performance of novel RR counters. For further information please visit https://www.ed.ac.uk/usher/respire/phd-studentships/ahad-mahmud-khan.

Dataset type

Health and disease

Keywords

Observations

Observed Node	Disambiguating Description	Measured Value	Measured Property	Observation Date
Findings		1	Count	01 Dec 2021

Provenance

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Details

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Version

Modified

08/10/2024

Citation Requirements

Coverage

Start date

01/12/2021

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Data Access Request

Dataset pipeline status

Access rights

https://www.ed.ac.uk/usher/respire/about/projects

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