In this section
@article{Zimmer:2025:10.1016/j.landig.2025.100908,
author = {Zimmer, AJ and Das, R and Lopez, PE and Nafade, V and Gore, G and Ugarte-Gil, C and Chung, KF and Song, W-J and Pai, M and Grandjean, Lapierre S},
doi = {10.1016/j.landig.2025.100908},
journal = {Lancet Digit Health},
title = {Objective cough counting in clinical practice and public health: a scoping review.},
url = {http://dx.doi.org/10.1016/j.landig.2025.100908},
year = {2025}
}
TY - JOUR
AB - Quantifying cough can offer value for respiratory disease assessment and monitoring. Traditionally, patient-reported outcomes have provided subjective insights into symptoms. Novel digital cough counting tools now enable objective assessments; however, their integration into clinical practice is limited. The aim of this scoping review was to address this gap in the literature by examining the use of automated and semiautomated cough counting tools in patient care and public health. A systematic search of six databases and preprint servers identified studies published up to Feb 12, 2025. From 6968 records found, 618 full-text articles were assessed for eligibility, and 77 were included. Five clinical use cases were identified-disease diagnosis, severity assessment, treatment monitoring, health outcome prediction, and syndromic surveillance-with scarce available evidence supporting each use case. Moderate correlations were found between objective cough frequency and patient-reported cough severity (median correlation coefficient of 0.42, IQR 0·38 to 0·59) and quality of life (median correlation coefficient of -0·49, -0·63 to -0·44), indicating a complex relationship between quantifiable measures and perceived symptoms. Feasibility challenges include device obtrusiveness, monitoring adherence, and addressing patient privacy concerns. Comprehensive studies are needed to validate these technologies in real-world settings and show their clinical value. Early feasibility and acceptability assessments are essential for successful integration.
AU - Zimmer,AJ
AU - Das,R
AU - Lopez,PE
AU - Nafade,V
AU - Gore,G
AU - Ugarte-Gil,C
AU - Chung,KF
AU - Song,W-J
AU - Pai,M
AU - Grandjean,Lapierre S
DO - 10.1016/j.landig.2025.100908
PY - 2025///
TI - Objective cough counting in clinical practice and public health: a scoping review.
T2 - Lancet Digit Health
UR - http://dx.doi.org/10.1016/j.landig.2025.100908
UR - https://www.ncbi.nlm.nih.gov/pubmed/41274833
ER -