Kerac, M, Monga, M, Sikorski, C, Mcgrath, M and de silva, H. 2023. Identifying underweight in infants and children: the novel “MAMI” slide chart (evaluating performance against traditional diagnostic methods, lookup tables and growth charts). [Online]. London School of Hygiene & Tropical Medicine, London, United Kingdom. Available from: https://doi.org/10.17037/DATA.00003535.
Kerac, M, Monga, M, Sikorski, C, Mcgrath, M and de silva, H. Identifying underweight in infants and children: the novel “MAMI” slide chart (evaluating performance against traditional diagnostic methods, lookup tables and growth charts) [Internet]. London School of Hygiene & Tropical Medicine; 2023. Available from: https://doi.org/10.17037/DATA.00003535.
Kerac, M, Monga, M, Sikorski, C, Mcgrath, M and de silva, H (2023). Identifying underweight in infants and children: the novel “MAMI” slide chart (evaluating performance against traditional diagnostic methods, lookup tables and growth charts). [Project]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00003535.
Description
Malnutrition is a leading cause of preventable deaths in infants and children. However, to benefit from treatment and prevention programmes, malnourished children must first be identified. Low weight-for-age is an anthropometric indicator of malnutrition which is gaining much recent attention because it is particularly effective at identifying children at highest risk of death. However, assessing weight-for-age can be challenging.
In this project we developed and tested a novel, low-cost weight-for-age slide chart (the "MAMI" chart, named after a wider but very closely related programme of work on "Management of small, nutritionally At-risk Infants and their Mothers".
We compared the performance of the new MAMI chart against two traditional methods. This was done using a cross-over diagnostic study comparing the new “MAMI” slide-chart and traditional growth charts and look-up tables.
Participants were health and public health professionals working or studying in the UK. Each acted as their own control, using all three methods but in random order. Under timed conditions, they evaluated hypothetical scenarios, arranged in a random sequence.
Each tool's diagnostic accuracy and response rate were compared. User preferences were also recorded.
This project was initially done as a MSc Nutrition for Global Health summer project (M.Monga, summer 2022).
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Language(s) of written materials | English |
Data Creators | Kerac, M, Monga, M, Sikorski, C, Mcgrath, M and de silva, H |
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Project contact | Kerac, Marko |
Associated roles | Monga, M (Co-Investigator), Mcgrath, M (Co-Investigator), Sikorski, C (Co-Investigator) and de silva, H (Co-Investigator) |
LSHTM Faculty/Department | Faculty of Epidemiology and Population Health > Dept of Population Health (2012- ) Faculty of Infectious and Tropical Diseases > Dept of Clinical Research |
Research Centre | Centre for Maternal, Reproductive and Child Health (MARCH) |
Research Group | Nutrition Group |
Participating Institutions | London School of Hygiene & Tropical Medicine, London, UK, Emergency Nutrition Network, Oxford, United Kingdom, Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom |
Date Deposited | 29 Jun 2023 11:33 |
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Last Modified | 29 Jun 2023 11:33 |
Publisher | London School of Hygiene & Tropical Medicine |