Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Infant growth charts

K Cooney1, U Pathak, A Watson

  • 1St Mary's Hospital, Newport, Isle of Wight.

Archives of Disease in Childhood
|August 1, 1994
PubMed
Summary
This summary is machine-generated.

Accurate plotting on growth charts is crucial for monitoring childhood growth disorders. This study found significant errors in premature infant growth chart plotting, primarily related to age calculation, highlighting the need for improved accuracy.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

A lateral hypothalamic region supporting diverse visual processing and modulation of visually-guided behaviour.

Nature communications·2025
Same author

Author Correction: ROBIN: Reference observatory of basins for international hydrological climate change detection.

Scientific data·2025
Same author

Single Nucleotide Polymorphisms and Their Association with Coronary Artery Aneurysms and IVIG Resistance in Kawasaki Disease in Ireland.

Pediatric cardiology·2025
Same author

ROBIN: Reference observatory of basins for international hydrological climate change detection.

Scientific data·2025
Same author

Interrelationships between social exclusion, mental health and wellbeing in adolescents: insights from a national <i>Youth Survey</i>.

Epidemiology and psychiatric sciences·2025
Same author

The LTAR Grazing Land Common Experiment at Platte River High Plains Aquifer.

Journal of environmental quality·2024
Same journal

Protecting adolescent confidentiality in the digital age: a global call for adolescent-informed electronic health records.

Archives of disease in childhood·2026
Same journal

Diagnostic accuracy study assessing the ability of paediatric asthma scores to predict admission following initial emergency department bronchodilator therapy: a Clinical Asthma Scoring systems in Paediatric Emergency (CASPER) study.

Archives of disease in childhood·2026
Same journal

Artificial intelligence for child health: current capabilities and the next frontier.

Archives of disease in childhood·2026
Same journal

Troubled origins and lasting impact of the first insulin injection.

Archives of disease in childhood·2026
Same journal

Paediatric readiness assessment tools in emergency care: a scoping review.

Archives of disease in childhood·2026
Same journal

Building a paediatric workforce to deliver the NHS prevention agenda: time for paediatric public health medicine?

Archives of disease in childhood·2026
See all related articles

Area of Science:

  • Pediatrics
  • Growth Monitoring
  • Medical Charting Accuracy

Background:

  • Accurate growth monitoring is essential for detecting childhood growth disorders.
  • Growth charts are standard tools for assessing child development.
  • Premature infants require careful monitoring due to potential growth deviations.

Purpose of the Study:

  • To assess the accuracy of plotted data on Gairdner-Pearson growth charts for premature infants.
  • To identify common sources of error in growth chart plotting.
  • To evaluate the clinical impact of plotting errors.

Main Methods:

  • A retrospective review of 611 plotted points on Gairdner-Pearson growth charts for 50 premature infants.
  • Analysis of errors exceeding set limits, focusing on the horizontal (X) axis (age).

Related Experiment Videos

  • Identification of potential sources contributing to plotting inaccuracies.
  • Main Results:

    • 173 out of 611 plotted points (28.5%) contained errors.
    • 94.7% of errors occurred when plotting age on the horizontal axis.
    • No significant changes in clinical management were attributed to the observed errors.

    Conclusions:

    • Significant inaccuracies exist in plotting premature infant growth charts, particularly concerning age.
    • Common error sources include incorrect prematurity adjustment, age calculation, and logarithmic scale use.
    • Enhanced vigilance, age calculators, or improved chart design are recommended to improve accuracy.