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Use of digital auscultation to improve diagnosis of paediatric pneumonia

Population Size

Not reported
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Years

2019 - 2021

Years statistic card

Associated BioSamples

None/not available

Associated BioSamples statistic card

Geographic coverage

United Kingdom

Geographic coverage statistic card

Lead time

Variable

Lead time statistic card

Summary

This study aims to improve the diagnostic accuracy of child pneumonia by using automated lung sound classification through digital auscultation.

Documentation

Integrated Community Case Management (iCCM) is a World Health Organization (WHO) approach in which community health workers deliver basic healthcare services in the community setting, including childhood pneumonia treatment.

The WHO pneumonia guidelines are sensitive but non-specific, in order to ensure that children with possible pneumonia receive antibiotic treatment. As a result, while the guidelines miss few children with pneumonia (high sensitivity), many children who do not have pneumonia incorrectly receive antibiotics (low specificity), resulting in antibiotic overuse.

The WHO guidelines do not include lung auscultation (listening to lung sounds) in their pneumonia definition for frontline healthcare workers, likely due to its high inter-observer variability, regardless of healthcare providers’ training level. Digital auscultation by electronic stethoscopes may help to overcome these limitations. Inclusion of lung auscultation in the current algorithm could enhance the specificity of the guidelines.

This study aims to improve the diagnostic accuracy of child pneumonia by using automated lung sound classification through digital auscultation.

The embedded PhD will use the study data to (i) assess the consistency of lung sounds recorded by primary health care workers from under-five children using a digital stethoscope against pre-defined quality thresholds and (ii) determine the reliability and performance of the interpretations of recorded lung sounds by the Smartscope analysis system compared to reference interpretations by a paediatric listening panel.

For further information, see associated media

https://www.ed.ac.uk/usher/respire/phd-studentships/salahuddin-ahmed

Dataset type

Health and disease

Dataset sub-type

Not applicable

Keywords

Observations

Observed Node

Disambiguating Description

Measured Value

Measured Property

Observation Date

Findings

1

Count

31 Jan 2021

Provenance

Purpose of dataset collection

Study

Collection source setting

Community

Image contrast

Not stated

Biological sample availability

None/not available

Details

Publishing frequency

Static

Version

1.0.0

Modified

08/10/2024

Distribution release date

31/01/2021

Citation Requirements

RESPIRE collaboration

Coverage

Start date

01/05/2019

End date

31/01/2021

Time lag

Not applicable

Geographic coverage

United Kingdom

Maximum age range

5

Accessibility

Language

en

Controlled vocabulary

LOCAL

Format

text

Data Access Request

Dataset pipeline status

Not available

Time to dataset access

Variable

Access method category

Varies based on project

Access service description

Access service varies on a project-by-project basis. Contact the RESPIRE team for further in formation

Jurisdiction

GB-ENG, GB-SCT, GB-WLS

Data use limitation

General research use

Data Controller

BREATHE

Dataset Types: Health and disease


Collection Sources: Community

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