PoopMD, a Mobile Health Application, Accurately Identifies Infant Acholic Stools

Amy Franciscovich1, Dhananjay Vaidya2, Joe Doyle3

  • 1Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America.

Plos One
|July 30, 2015
PubMed

Insights

PoopMD, a mobile app, accurately identifies infant acholic stools, aiding early diagnosis of biliary atresia (BA). This tool shows high agreement across users and devices, potentially improving outcomes for infants with BA.

Area of Science:

  • Pediatric Gastroenterology
  • Medical Diagnostics
  • Mobile Health Technology

Background:

  • Biliary atresia (BA) is the primary cause of pediatric end-stage liver disease in the US.
  • Early diagnosis and intervention significantly improve outcomes for BA.
  • Parental education using stool color charts has shown promise in improving BA diagnosis timeliness.

Purpose of the Study:

  • To evaluate the accuracy and reliability of the PoopMD mobile application in differentiating acholic stools from normal infant stools.
  • To assess the agreement of PoopMD's analysis across different users, smartphone models, and lighting conditions.

Main Methods:

  • PoopMD utilizes smartphone cameras and color recognition software to analyze infant stool color.
  • A gold standard was established by expert pediatrician consensus on 45 infant stool photographs.
  • The app's performance was tested for sensitivity, specificity, and agreement (kappa statistic) across various user types, devices (iPhone 5s, Samsung Galaxy S4), and lighting conditions.

Main Results:

  • PoopMD achieved 100% sensitivity and 89% specificity in identifying acholic stools, with 3 normal stools misclassified as indeterminate.
  • Substantial agreement (kappa=0.68) was observed between lay users and expert analysis.
  • Almost perfect agreement (kappa=0.88 for devices, kappa=0.81 for lighting) was found across different smartphone models and lighting conditions.

Conclusions:

  • PoopMD demonstrates significant accuracy and reliability in distinguishing acholic from normal infant stools.
  • The mobile application shows consistent performance across different users, smartphones, and lighting, suggesting its potential as a valuable tool for parents.
  • PoopMD may facilitate earlier detection of biliary atresia, leading to improved clinical outcomes for affected children.

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