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Creation of the WHO Indicators of Infant and Young Child Development (IYCD): metadata synthesis across 10 countries

BACKGROUND: Renewed global commitment to the improvement of early child development outcomes, as evidenced by the focus of the United Nations Sustainable Development Goal 4, highlights an increased need for reliable and valid measures to evaluate preventive and interventional efforts designed to aff...

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Autores principales: Lancaster, Gillian A, McCray, Gareth, Kariger, Patricia, Dua, Tarun, Titman, Andrew, Chandna, Jaya, McCoy, Dana, Abubakar, Amina, Hamadani, Jena Derakhshani, Fink, Günther, Tofail, Fahmida, Gladstone, Melissa, Janus, Magdalena
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6195138/
https://www.ncbi.nlm.nih.gov/pubmed/30364327
http://dx.doi.org/10.1136/bmjgh-2018-000747
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author Lancaster, Gillian A
McCray, Gareth
Kariger, Patricia
Dua, Tarun
Titman, Andrew
Chandna, Jaya
McCoy, Dana
Abubakar, Amina
Hamadani, Jena Derakhshani
Fink, Günther
Tofail, Fahmida
Gladstone, Melissa
Janus, Magdalena
author_facet Lancaster, Gillian A
McCray, Gareth
Kariger, Patricia
Dua, Tarun
Titman, Andrew
Chandna, Jaya
McCoy, Dana
Abubakar, Amina
Hamadani, Jena Derakhshani
Fink, Günther
Tofail, Fahmida
Gladstone, Melissa
Janus, Magdalena
author_sort Lancaster, Gillian A
collection PubMed
description BACKGROUND: Renewed global commitment to the improvement of early child development outcomes, as evidenced by the focus of the United Nations Sustainable Development Goal 4, highlights an increased need for reliable and valid measures to evaluate preventive and interventional efforts designed to affect change. Our objective was to create a new tool, applicable across multicultures, to measure development from 0 to 3 years through metadata synthesis. METHODS: Fourteen cross-sectional data sets were contributed on 21 083 children from 10 low/middle-income countries (LMIC), assessed using seven different tools (caregiver reported or directly assessed). Item groups, measuring similar developmental skills, were identified by item mapping across tools. Logistic regression curves displayed developmental trajectories for item groups across countries and age. Following expert consensus to identify well-performing items across developmental domains, a second mapping exercise was conducted to fill any gaps across the age range. The first version of the tool was constructed. Item response analysis validated our approach by putting all data sets onto a common scale. RESULTS: 789 individual items were identified across tools in the first mapping and 129 item groups selected for analysis. 70 item groups were then selected through consensus, based on statistical performance and perceived importance, with a further 50 items identified at second mapping. A tool comprising 120 items (23 fine motor, 23 gross motor, 20 receptive language, 24 expressive language, 30 socioemotional) was created. The linked data sets on a common scale showed a curvilinear trajectory of child development, highlighting the validity of our approach through excellent coverage by age and consistency of measurement across contributed tools, a novel finding in itself. CONCLUSIONS: We have created the first version of a prototype tool for measuring children in the early years, developed using novel easy to apply methodology; now it needs to be feasibility tested and piloted across several LMICs.
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spelling pubmed-61951382018-10-24 Creation of the WHO Indicators of Infant and Young Child Development (IYCD): metadata synthesis across 10 countries Lancaster, Gillian A McCray, Gareth Kariger, Patricia Dua, Tarun Titman, Andrew Chandna, Jaya McCoy, Dana Abubakar, Amina Hamadani, Jena Derakhshani Fink, Günther Tofail, Fahmida Gladstone, Melissa Janus, Magdalena BMJ Glob Health Research BACKGROUND: Renewed global commitment to the improvement of early child development outcomes, as evidenced by the focus of the United Nations Sustainable Development Goal 4, highlights an increased need for reliable and valid measures to evaluate preventive and interventional efforts designed to affect change. Our objective was to create a new tool, applicable across multicultures, to measure development from 0 to 3 years through metadata synthesis. METHODS: Fourteen cross-sectional data sets were contributed on 21 083 children from 10 low/middle-income countries (LMIC), assessed using seven different tools (caregiver reported or directly assessed). Item groups, measuring similar developmental skills, were identified by item mapping across tools. Logistic regression curves displayed developmental trajectories for item groups across countries and age. Following expert consensus to identify well-performing items across developmental domains, a second mapping exercise was conducted to fill any gaps across the age range. The first version of the tool was constructed. Item response analysis validated our approach by putting all data sets onto a common scale. RESULTS: 789 individual items were identified across tools in the first mapping and 129 item groups selected for analysis. 70 item groups were then selected through consensus, based on statistical performance and perceived importance, with a further 50 items identified at second mapping. A tool comprising 120 items (23 fine motor, 23 gross motor, 20 receptive language, 24 expressive language, 30 socioemotional) was created. The linked data sets on a common scale showed a curvilinear trajectory of child development, highlighting the validity of our approach through excellent coverage by age and consistency of measurement across contributed tools, a novel finding in itself. CONCLUSIONS: We have created the first version of a prototype tool for measuring children in the early years, developed using novel easy to apply methodology; now it needs to be feasibility tested and piloted across several LMICs. BMJ Publishing Group 2018-10-15 /pmc/articles/PMC6195138/ /pubmed/30364327 http://dx.doi.org/10.1136/bmjgh-2018-000747 Text en © Author(s) (or their employer(s)) 2018. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0
spellingShingle Research
Lancaster, Gillian A
McCray, Gareth
Kariger, Patricia
Dua, Tarun
Titman, Andrew
Chandna, Jaya
McCoy, Dana
Abubakar, Amina
Hamadani, Jena Derakhshani
Fink, Günther
Tofail, Fahmida
Gladstone, Melissa
Janus, Magdalena
Creation of the WHO Indicators of Infant and Young Child Development (IYCD): metadata synthesis across 10 countries
title Creation of the WHO Indicators of Infant and Young Child Development (IYCD): metadata synthesis across 10 countries
title_full Creation of the WHO Indicators of Infant and Young Child Development (IYCD): metadata synthesis across 10 countries
title_fullStr Creation of the WHO Indicators of Infant and Young Child Development (IYCD): metadata synthesis across 10 countries
title_full_unstemmed Creation of the WHO Indicators of Infant and Young Child Development (IYCD): metadata synthesis across 10 countries
title_short Creation of the WHO Indicators of Infant and Young Child Development (IYCD): metadata synthesis across 10 countries
title_sort creation of the who indicators of infant and young child development (iycd): metadata synthesis across 10 countries
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6195138/
https://www.ncbi.nlm.nih.gov/pubmed/30364327
http://dx.doi.org/10.1136/bmjgh-2018-000747
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