Study data for “Identifying underweight in infants and children using growth charts, lookup tables and a novel “MAMI” slide chart: a cross-over diagnostic and acceptability study”
Kerac, M
, Monga, M, Sikorski, C, de silva, H and Mcgrath, M
(2023).
Study data for “Identifying underweight in infants and children using growth charts, lookup tables and a novel “MAMI” slide chart: a cross-over diagnostic and acceptability study”.
[Dataset].
London School of Hygiene & Tropical Medicine, London, United Kingdom.
10.17037/DATA.00003513.
, Monga, M, Sikorski, C, de silva, H and Mcgrath, M
(2023).
Study data for “Identifying underweight in infants and children using growth charts, lookup tables and a novel “MAMI” slide chart: a cross-over diagnostic and acceptability study”.
[Dataset].
London School of Hygiene & Tropical Medicine, London, United Kingdom.
10.17037/DATA.00003513.
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. The MAMI chart project developed and tested a novel, low-cost weight-for-age slide chart (the "MAMI" chart) and compared it against traditional growth charts and look-up tables. This collection contains questionnaires, quantitative data, and summary results associated with the cross-over diagnostic study.
Keywords
Malnutrition, Diagnosis, Nutrition, Child, Child growthParent Collection(s)
| Item Type | Dataset |
|---|---|
| Description of data capture | For 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 subsequently conducted a cross-over diagnostic study that compared the new “MAMI” slide-chart against two traditional methods, 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. We developed 25 hypothetical clinical scenarios which presented a child’s sex, weight and age. The test task was to correctly classify as many of these as possible into normal weight, moderately underweight or severely underweight. Numbers in each category were roughly balanced. Eight of the 25 scenarios had the WAZ score exactly at -2 or -3 z score (borderline scenarios) to make them more challenging. The answer key was developed for the questionnaires and were cross-checked for any errors, prior to the evaluation. Additionally, one-third of the scenarios were intentionally kept at borderline z-scores. Two questionnaires were used: [1] a general questionnaire containing the 25 scenarios which asked participants to select what they determined to be the correct anthropometric classification in each case (normal, moderately underweight, severely underweight). Basic participant demographics were also collected by this questionnaire. [2] an acceptability questionnaire which asked for feedback on the three different assessment tools/methods. Questionnaires were administered electronically via Microsoft forms (Office 365, Microsoft, USA). |
| Capture method | Questionnaire |
| Collection Period |
From To 2 July 2022 20 August 2022 |
| Date | 21 June 2023 |
| Language(s) of written materials | English |
| Creator(s) |
Kerac, M, Monga, M, Sikorski, C, de silva, H and Mcgrath, M
|
| 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, United Kingdom, Emergency Nutrition Network, Oxford, United Kingdom, Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom |
| Funders |
Project Funder Grant Number Funder URI |
| Date Deposited | 29 Jun 2023 11:23 |
| Last Modified | 29 Jun 2023 16:13 |
| Publisher | London School of Hygiene & Tropical Medicine |
MAMI_chart_data.txt
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subject - Data
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lock - Restricted to Request access for all
- Data Sharing Agreement
- Available under Data Sharing Agreement
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info - Data for MAMI chart project 2022
description - text/plain
- folder_info
- 69B
Questionnaire_Qanti_MAMI_WAZ.docx
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subject - Study Instrument
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- Available under Creative Commons: Attribution 4.0
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info - Draft MAMI chart questionnaire (17 April 2022)
description - application/vnd.openxmlformats-officedocument.wordprocessingml.document
- folder_info
- 26kB
Ease_of_use_questionnaire_MAMI_WAZ.doc
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subject - Study Instrument
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- Available under Creative Commons: Attribution 4.0
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info - MAMI chart ease-of-use questionnaire v2 (25 May 2022) - questionnaire to assess the weight-for-age MAMI chart and determine how easy it is to use
description - application/msword
- folder_info
- 547kB
MAMI_chart_boys_D1.docx
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subject - Documentation
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lock - Restricted to Request access for all
- Data Sharing Agreement
- Available under Data Sharing Agreement
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info - MAMI Chart - Boys' chart (17 April 2022)
description - application/vnd.openxmlformats-officedocument.wordprocessingml.document
- folder_info
- 36kB
MAMI_chart_girls_D1.docx
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subject - Documentation
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lock - Restricted to Request access for all
- Data Sharing Agreement
- Available under Data Sharing Agreement
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info - MAMI Chart - girls chart (17 April 2022)
description - application/vnd.openxmlformats-officedocument.wordprocessingml.document
- folder_info
- 39kB
MAMI_chart_data_codebook.html
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subject - Documentation
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- Available under Creative Commons: Attribution 4.0
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info - Codebook for MAMI Chart dataset
html - text/html
- folder_info
- 12kB
3513-UserGuide.html
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subject - Documentation
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- Available under Creative Commons: Attribution 4.0
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info - User guide for MAMI Chart dataset
html - text/html
- folder_info
- 7kB
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