Related Experiment Video
Updated: Mar 19, 2026

Assessment of Child Anthropometry in a Large Epidemiologic Study
Published on: February 2, 2017
Using the Mercy Method for Weight Estimation in Indian Children
Gitanjali Batmanabane1, Pradeep Kumar Jena2, Roshan Dikshit2
1Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, India.
Insights
The Mercy Method (MM) accurately estimates weight in Indian children, outperforming 12 other methods. This pediatric weight estimation strategy is reliable for diverse populations.
Area of Science:
- Pediatric emergency medicine
- Clinical assessment
- Medical device performance
Background:
- Accurate weight estimation is crucial for pediatric emergency care.
- Existing weight estimation methods show variable accuracy in diverse populations.
- The Mercy Method (MM) is a novel strategy for pediatric weight estimation.
Purpose of the Study:
- To compare the performance of the Mercy Method (MM) against 12 established weight estimation methods.
- To evaluate the accuracy and reliability of the MM in Indian children.
- To determine the applicability of the MM across different pediatric populations.
Main Methods:
- A prospective study involving 375 Indian children (2 months to 16 years).
- Trained raters collected weight, height, humeral length (HL), and mid-upper arm circumference (MUAC).
- Predicted weights from 13 methods were compared to actual weights using regression, Bland-Altman plots, and error metrics (ME, MPE, RMSE).
Main Results:
- The Mercy Method (MM) demonstrated the highest correlation (r² = .967) between actual and estimated weights.
- MM showed the lowest mean error (ME), mean percentage error (MPE), and root mean square error (RMSE).
- MM estimated weight within 20% of actual for 96% of children, significantly outperforming other methods (14%-63%).
Conclusions:
- The Mercy Method (MM) is a highly accurate and reliable pediatric weight estimation strategy for Indian children.
- The MM's performance in Indian children is comparable to that in Western populations, suggesting broad applicability.
- The MM can be implemented in Indian pediatric settings without modification, enhancing emergency care.
Abstract:
This study was designed to compare the performance of a new weight estimation strategy (Mercy Method) with 12 existing weight estimation methods (APLS, Best Guess, Broselow, Leffler, Luscombe-Owens, Nelson, Shann, Theron, Traub-Johnson, Traub-Kichen) in children from India. Otherwise healthy children, 2 months to 16 years, were enrolled and weight, height, humeral length (HL), and mid-upper arm circumference (MUAC) were obtained by trained raters. Weight estimation was performed as described for each method. Predicted weights were regressed against actual weights and the slope, intercept, and Pearson correlation coefficient estimated. Agreement between estimated weight and actual weight was determined using Bland-Altman plots with log-transformation. Predictive performance of each method was assessed using mean error (ME), mean percentage error (MPE), and root mean square error (RMSE). Three hundred seventy-five children (7.5 ± 4.3 years, 22.1 ± 12.3 kg, 116.2 ± 26.3 cm) participated in this study. The Mercy Method (MM) offered the best correlation between actual and estimated weight when compared with the other methods (r (2) = .967 vs .517-.844). The MM also demonstrated the lowest ME, MPE, and RMSE. Finally, the MM estimated weight within 20% of actual for nearly all children (96%) as opposed to the other methods for which these values ranged from 14% to 63%. The MM performed extremely well in Indian children with performance characteristics comparable to those observed for US children in whom the method was developed. It appears that the MM can be used in Indian children without modification, extending the utility of this weight estimation strategy beyond Western populations.
Related Concept Videos
Drug Dosing in Renal Diseases: Estimation of Glomerular Filtration Rate Based on Serum Creatinine Concentration
What are Estimates?
The estimate for the mean of a sample is denoted by ͞x, whereas the mean of the population is designated as μ. Further, parameters such...
Drug Dosing: Obese Patients
Regression Toward the Mean
Drug Dosing: Infants and Children
Weighted Mean
For example, consider the number of goals scored in the matches of a tournament. While computing the average number of goals scored in the tournament, it may be more important to...

