Chanyarungrojn, P. A., Lelijveld, N., Crampin, A. , Nkhwazi, L., Geis, S., Nyirenda, M. and Kerac, M. (2023) Tools for assessing child and adolescent stunting: Lookup tables, growth charts and a novel appropriate-technology “MEIRU” wallchart ‐ a diagnostic accuracy study. PLoS Global Public Health, 3(7), e0001592. (doi: 10.1371/journal.pgph.0001592) (PMID:37450437) (PMCID:PMC10348557)
Text
303071.pdf - Published Version Available under License Creative Commons Attribution. 4MB |
Abstract
Stunting affects 149 million children worldwide and is a form of chronic malnutrition defined by low height-for-age. Surveys and intervention programmes depend on effective assessment and identification of affected individuals. Gold standard assessment is based on height-for-age Z-score (HAZ): HAZ <-2 defines stunting; HAZ <-3 defines severe stunting. However, a major problem for field-based programmes is that Z-scores can be time-intensive and challenging to calculate. We thus developed a novel wallchart that we have coined ‘MEIRU wallchart’ to easily and accurately identify stunted children and adolescents. Our study aim was to evaluate its performance and acceptability against other methods used in current clinical/field practice. We undertook a non-interventional diagnostic accuracy study in Malawi. We recruited 244 participants aged 8–19 years and determined each individual’s stunting status using, in varying order: the MEIRU wallchart, traditional lookup tables, and traditional growth charts. All were compared against ‘gold standard’ HAZ, calculated using AnthroPlus WHO software. Local community healthcare workers performed all the assessments. The wallchart method was strongly preferred by both participants and staff. It had an overall accuracy of 95.5%(kappa = 0.91) and was faster than lookup tables by an average of 62.5%(41.4sec; p<0.001) per measurement. Lookup tables and growth charts had overall agreements of 59.4%(kappa = 0.36) and 61.9%(kappa = 0.31) respectively. At the HAZ-2 cut-off, the wallchart had a sensitivity of 97.6%(95%CI: 91.5–99.7) and specificity of 96.3%(95%CI: 92.1–98.6). We conclude that the MEIRU wallchart performs well and is acceptable for screening and identification of stunted children/adolescents by community-level health workers. It fulfils key criteria that justify a role in future screening programmes: easy to perform and interpret; acceptable; accurate; sensitive and specific. Potential future uses include: conducting rapid stunting prevalence surveys; identifying affected individuals for interventions. Current field methods, lookup tables and growth charts performed poorly and should be used with caution.
Item Type: | Articles |
---|---|
Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Crampin, Professor Mia |
Creator Roles: | Crampin, A.Conceptualization, Investigation, Methodology, Project administration, Resources, Supervision, Validation, Writing – review and editing |
Authors: | Chanyarungrojn, P. A., Lelijveld, N., Crampin, A., Nkhwazi, L., Geis, S., Nyirenda, M., and Kerac, M. |
College/School: | College of Medical Veterinary and Life Sciences > School of Health & Wellbeing > Public Health |
Journal Name: | PLoS Global Public Health |
Publisher: | Public Library of Science |
ISSN: | 2767-3375 |
ISSN (Online): | 2767-3375 |
Copyright Holders: | Copyright © 2023 Chanyarungrojn et al. |
First Published: | First published in PLoS Global Public Health 3(7): e0001592 |
Publisher Policy: | Reproduced under a Creative Commons License |
University Staff: Request a correction | Enlighten Editors: Update this record