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Regression Equations for Weight Estimation in Paediatric Resuscitation
Sally Britnell, Gael Mearns, Graham Howie, Dave Parry
311 - 315
10.3233/SHTI210729
Research Article
Studies in Health Technology and Informatics
Volume 284: Nurses and Midwives in the Digital Age
Abstract

Background:

Weight estimation is critical in paediatric resuscitation, as stopping to weigh a child could influence their survival. Weight estimation methods used in New Zealand (NZ) are not accurate for the population, increasing the complexity of prescribing medication and selecting equipment.

Aim:

Develop regression equations (RE) to predict the weight of NZ children based on height, sex, age and ethnicity to be deployed in a mobile application (Weight Estimation Without Waiting).

Methods:

The RE was derived from retrospective regression modelling of a large existing dataset. Data were presented using descriptive statistics and calculation of means, limits of agreement and the proportion of weight estimates within a percentage of actual weight.

Conclusion:

The RE developed in this study outperformed existing age-based weight estimation methods while providing a method to ensure that weight estimation techniques evolve with NZ children.

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