Evidence map›Paper›PMID 37450437›Full record

ArticlePLOS global public health2023

Tools for assessing child and adolescent stunting: Lookup tables, growth charts and a novel appropriate-technology "MEIRU" wallchart - a diagnostic accuracy study.

Pannapat Amy Chanyarungrojn, Natasha Lelijveld, Amelia Crampin, Lawrence Nkhwazi, Steffen Geis, Moffat Nyirenda, Marko Kerac

Abstract read
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Article in PLOS global public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
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  5. Review
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  7. The American journal of tropical medicine and hygiene · 2019
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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Pannapat Amy ChanyarungrojnDepartment of Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom.ORCID https://orcid.org/0000-0001-5139-8678
Natasha LelijveldDepartment of Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom.ORCID https://orcid.org/0000-0002-8452-0198
Amelia CrampinMEIRU (Malawi Epidemiology & Intervention Research Unit), Lilongwe, Malawi.ORCID https://orcid.org/0000-0002-1513-4330
Lawrence NkhwaziMEIRU (Malawi Epidemiology & Intervention Research Unit), Lilongwe, Malawi.
Steffen GeisMEIRU (Malawi Epidemiology & Intervention Research Unit), Lilongwe, Malawi.
Moffat NyirendaDepartment of Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom.ORCID https://orcid.org/0000-0003-2120-4806
Marko KeracDepartment of Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom.ORCID https://orcid.org/0000-0002-3745-7317

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Identifiers

PMID37450437
PMCPMC10348557

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.