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”. [Online]. London School of Hygiene & Tropical Medicine, London, United Kingdom. Available from: https://doi.org/10.17037/DATA.00003513.

Kerac, M, Monga, M, Sikorski, C, de silva, H and Mcgrath, M. 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” [Internet]. London School of Hygiene & Tropical Medicine; 2023. Available from: https://doi.org/10.17037/DATA.00003513.

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”. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00003513.

Description

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Methods

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).
Data capture method Questionnaire
Data Collection Period
FromTo
2 July 202220 August 2022
Date (Date submitted to LSHTM repository) 21 June 2023
Language(s) of written materials English

People & Groups

Data Creators 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

Projects

Funders
ProjectFunderGrant NumberFunder URI
MAMIEleanor Crook FoundationEPPHZR37https://eleanorcrookfoundation.org/

Additional Information

Date Deposited 29 Jun 2023 11:23
Last Modified 29 Jun 2023 16:13
Publisher London School of Hygiene & Tropical Medicine

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MAMI_chart_data Request access

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Filename: MAMI_chart_data.txt

Description: Data for MAMI chart project 2022

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Documentation

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Description: MAMI Chart - Boys' chart (17 April 2022)

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Description: MAMI Chart - girls chart (17 April 2022)

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MAMI_chart_data_codebook Download

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Description: Codebook for MAMI Chart dataset

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3513-UserGuide Download

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Description: User guide for MAMI Chart dataset

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Study Instrument

Questionnaire_Qanti_MAMI_WAZ Download

Filename: Questionnaire_Qanti_MAMI_WAZ.docx

Description: Draft MAMI chart questionnaire (17 April 2022)

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Ease_of_use_questionnaire_MAMI_WAZ Download

Filename: Ease_of_use_questionnaire_MAMI_WAZ.doc

Description: 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

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