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Can undergraduate paramedic and nursing students accurately estimate patient age and weight?

Brett Williams1, Malcolm Boyle, Pete O'Meara

  • 1Monash University, Department of Community Emergency Health and Paramedic Practice, Frankston, Victoria, Australia. brett.williams@med.monash.edu.au

Prehospital and Disaster Medicine
|May 15, 2010
PubMed

Insights

Undergraduate paramedic and nursing students showed varied accuracy in estimating patient age and weight from photos. Pediatric age estimation was more accurate than adult, and most weights were underestimated.

Area of Science:

  • Medical Education
  • Clinical Skills Assessment
  • Emergency Medical Services

Background:

  • Accurate patient age and weight estimation is crucial for paramedics and nurses, especially when patients cannot communicate.
  • These estimations impact critical decisions like medication dosage, defibrillation, and equipment selection.
  • The study addresses the need for reliable estimation skills in healthcare professionals.

Purpose of the Study:

  • To assess the accuracy of undergraduate paramedic and nursing students in estimating patient age and weight using digital photographs.
  • To identify potential differences in estimation accuracy between age groups (pediatric vs. adult) and between student cohorts.

Main Methods:

  • A prospective, observational study was conducted with undergraduate paramedic and nursing students from two Australian universities.
  • Students estimated the age and weight of seven patients (adult and pediatric) from digital images presented via PowerPoint.
  • Each image was displayed for 15 seconds, followed by a brief pause.

Main Results:

  • Variable accuracy was observed in both age and weight estimations.
  • Age estimations for pediatric patients were more accurate than for adult patients.
  • The majority of patient weights were underestimated, with similar estimation performance between the two universities.

Conclusions:

  • Undergraduate students exhibit variability in their ability to accurately estimate patient age and weight from images.
  • The findings suggest a need for enhanced education and training in age and weight estimation within undergraduate healthcare curricula.
  • Incorporating specific modules on estimation techniques could improve clinical readiness.
Abstract

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