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Nutritional status of children living within institution-based care: a retrospective analysis with funnel plots and control charts for programme monitoring

OBJECTIVES: The aim of this study is to fill a key information gap on the nutrition-related epidemiology of orphaned and vulnerable children living within institution-based care (IBC) across six countries. DESIGN: A retrospective analysis with Shewhart control charts and funnel plots to explore inte...

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Autores principales: DeLacey, Emily, Hilberg, Evan, Allen, Elizabeth, Quiring, Michael, Tann, Cally J, Groce, Nora Ellen, Vilus, James, Bergman, Ethan, Demasu-Ay, Merzel, Dam, Hang T, Kerac, Marko
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8719208/
http://dx.doi.org/10.1136/bmjopen-2021-050371
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author DeLacey, Emily
Hilberg, Evan
Allen, Elizabeth
Quiring, Michael
Tann, Cally J
Groce, Nora Ellen
Vilus, James
Bergman, Ethan
Demasu-Ay, Merzel
Dam, Hang T
Kerac, Marko
author_facet DeLacey, Emily
Hilberg, Evan
Allen, Elizabeth
Quiring, Michael
Tann, Cally J
Groce, Nora Ellen
Vilus, James
Bergman, Ethan
Demasu-Ay, Merzel
Dam, Hang T
Kerac, Marko
author_sort DeLacey, Emily
collection PubMed
description OBJECTIVES: The aim of this study is to fill a key information gap on the nutrition-related epidemiology of orphaned and vulnerable children living within institution-based care (IBC) across six countries. DESIGN: A retrospective analysis with Shewhart control charts and funnel plots to explore intersite and over time variations in nutritional status. SETTING: We conducted a retrospective analysis of records from Holt International’s Child Nutrition Programme from 35 sites in six countries; Mongolia, India, Ethiopia, Vietnam, China and the Philippines. PARTICIPANTS: Deidentified health records from Holt International’s online nutrition screening database included records from 2926 children, 0–18 years old. Data were collected from 2013 to 2020 and included demographic and health information. RESULTS: At initial screening, 717 (28.7%) children were anaemic, 788 (34.1%) underweight, 1048 (37.3%) stunted, 212 (12.6%) wasted, 135 (12%) overweight or obese and 339 (31%) had small head circumference. Many had underlying conditions: low birth weight, 514 (57.5%); prematurity, 294 (42.2%) and disabilities, 739 (25.3%). Children with disabilities had higher prevalence of malnutrition compared with counterparts without disabilities at baseline and 1-year screenings. There was marked intersite variation. Funnel plots highlight sites with malnutrition prevalence outside expected limits for this specific population taking into consideration natural variation at baseline and at 1 year. Control charts show changes in site mean z-scores over time in relation to site control limits. CONCLUSIONS: Malnutrition is prevalent among children living within IBC, notably different forms of undernutrition (stunting, underweight, wasting). Underlying risk factors are also common: prematurity, low birth weight and disability. Nutrition interventions should take into account the needs of this vulnerable population, especially for infants and those with disabilities. Using control charts to present data could be especially useful to programme managers as sites outside control limits could represent: problems to be investigated; good practices to be shared.
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spelling pubmed-87192082022-01-12 Nutritional status of children living within institution-based care: a retrospective analysis with funnel plots and control charts for programme monitoring DeLacey, Emily Hilberg, Evan Allen, Elizabeth Quiring, Michael Tann, Cally J Groce, Nora Ellen Vilus, James Bergman, Ethan Demasu-Ay, Merzel Dam, Hang T Kerac, Marko BMJ Open Epidemiology OBJECTIVES: The aim of this study is to fill a key information gap on the nutrition-related epidemiology of orphaned and vulnerable children living within institution-based care (IBC) across six countries. DESIGN: A retrospective analysis with Shewhart control charts and funnel plots to explore intersite and over time variations in nutritional status. SETTING: We conducted a retrospective analysis of records from Holt International’s Child Nutrition Programme from 35 sites in six countries; Mongolia, India, Ethiopia, Vietnam, China and the Philippines. PARTICIPANTS: Deidentified health records from Holt International’s online nutrition screening database included records from 2926 children, 0–18 years old. Data were collected from 2013 to 2020 and included demographic and health information. RESULTS: At initial screening, 717 (28.7%) children were anaemic, 788 (34.1%) underweight, 1048 (37.3%) stunted, 212 (12.6%) wasted, 135 (12%) overweight or obese and 339 (31%) had small head circumference. Many had underlying conditions: low birth weight, 514 (57.5%); prematurity, 294 (42.2%) and disabilities, 739 (25.3%). Children with disabilities had higher prevalence of malnutrition compared with counterparts without disabilities at baseline and 1-year screenings. There was marked intersite variation. Funnel plots highlight sites with malnutrition prevalence outside expected limits for this specific population taking into consideration natural variation at baseline and at 1 year. Control charts show changes in site mean z-scores over time in relation to site control limits. CONCLUSIONS: Malnutrition is prevalent among children living within IBC, notably different forms of undernutrition (stunting, underweight, wasting). Underlying risk factors are also common: prematurity, low birth weight and disability. Nutrition interventions should take into account the needs of this vulnerable population, especially for infants and those with disabilities. Using control charts to present data could be especially useful to programme managers as sites outside control limits could represent: problems to be investigated; good practices to be shared. BMJ Publishing Group 2021-12-28 /pmc/articles/PMC8719208/ http://dx.doi.org/10.1136/bmjopen-2021-050371 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/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/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Epidemiology
DeLacey, Emily
Hilberg, Evan
Allen, Elizabeth
Quiring, Michael
Tann, Cally J
Groce, Nora Ellen
Vilus, James
Bergman, Ethan
Demasu-Ay, Merzel
Dam, Hang T
Kerac, Marko
Nutritional status of children living within institution-based care: a retrospective analysis with funnel plots and control charts for programme monitoring
title Nutritional status of children living within institution-based care: a retrospective analysis with funnel plots and control charts for programme monitoring
title_full Nutritional status of children living within institution-based care: a retrospective analysis with funnel plots and control charts for programme monitoring
title_fullStr Nutritional status of children living within institution-based care: a retrospective analysis with funnel plots and control charts for programme monitoring
title_full_unstemmed Nutritional status of children living within institution-based care: a retrospective analysis with funnel plots and control charts for programme monitoring
title_short Nutritional status of children living within institution-based care: a retrospective analysis with funnel plots and control charts for programme monitoring
title_sort nutritional status of children living within institution-based care: a retrospective analysis with funnel plots and control charts for programme monitoring
topic Epidemiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8719208/
http://dx.doi.org/10.1136/bmjopen-2021-050371
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