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Childhood disability in rural Niger: a population-based assessment using the Key Informant Method

BACKGROUND: Data on childhood disability is essential for planning health, education and other services. However, information is lacking in many low- and middle-income countries, including Niger. This study uses the Key Informant Method, an innovative and cost-effective strategy for generating popul...

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Autores principales: Banks, Lena Morgon, Liu, Jing, Kielland, Anne, Tahirou, Ali Bako, Harouna, Abdoul Karim Seydou, Mactaggart, Islay, Dybdahl, Ragnhild, Mounkaila, Dan Firoun, Grønningsæter, Arne
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8969242/
https://www.ncbi.nlm.nih.gov/pubmed/35361177
http://dx.doi.org/10.1186/s12887-022-03226-0
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author Banks, Lena Morgon
Liu, Jing
Kielland, Anne
Tahirou, Ali Bako
Harouna, Abdoul Karim Seydou
Mactaggart, Islay
Dybdahl, Ragnhild
Mounkaila, Dan Firoun
Grønningsæter, Arne
author_facet Banks, Lena Morgon
Liu, Jing
Kielland, Anne
Tahirou, Ali Bako
Harouna, Abdoul Karim Seydou
Mactaggart, Islay
Dybdahl, Ragnhild
Mounkaila, Dan Firoun
Grønningsæter, Arne
author_sort Banks, Lena Morgon
collection PubMed
description BACKGROUND: Data on childhood disability is essential for planning health, education and other services. However, information is lacking in many low- and middle-income countries, including Niger. This study uses the Key Informant Method, an innovative and cost-effective strategy for generating population-based estimates of childhood disability, to estimate the prevalence and causes of moderate/severe impairments and disabling health conditions in children of school-going age (7–16 years) in the Kollo department of western Niger. METHODS: Community-based key informants were trained to identify children who were suspected of having the impairment types/health conditions included in this study. Children identified by key informants were visited by paediatricians and underwent an assessment for moderate/severe vision, hearing, physical and intellectual impairments, as well as epilepsy, albinism and emotional distress. RESULTS: Two thousand, five hundred sixty-one children were identified by key informants, of whom 2191 were visited by paediatricians (response rate = 85.6%). Overall, 597 children were determined to have an impairment/health condition, giving a prevalence of disability of 11.4 per 1000 children (10.6- 12.2). Intellectual impairment was most common (6.5 per 1000), followed by physical (4.9 per 1000) and hearing impairments (4.7 per 1000). Many children had never sought medical attention for their impairment/health condition, with health seeking ranging from 40.0% of children with visual impairment to 67.2% for children with physical impairments. CONCLUSION: The Key Informant Method enabled the identification of a large number of children with disabling impairments and health conditions in rural Niger, many of whom have unmet needs for health and other services. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12887-022-03226-0.
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spelling pubmed-89692422022-04-01 Childhood disability in rural Niger: a population-based assessment using the Key Informant Method Banks, Lena Morgon Liu, Jing Kielland, Anne Tahirou, Ali Bako Harouna, Abdoul Karim Seydou Mactaggart, Islay Dybdahl, Ragnhild Mounkaila, Dan Firoun Grønningsæter, Arne BMC Pediatr Research BACKGROUND: Data on childhood disability is essential for planning health, education and other services. However, information is lacking in many low- and middle-income countries, including Niger. This study uses the Key Informant Method, an innovative and cost-effective strategy for generating population-based estimates of childhood disability, to estimate the prevalence and causes of moderate/severe impairments and disabling health conditions in children of school-going age (7–16 years) in the Kollo department of western Niger. METHODS: Community-based key informants were trained to identify children who were suspected of having the impairment types/health conditions included in this study. Children identified by key informants were visited by paediatricians and underwent an assessment for moderate/severe vision, hearing, physical and intellectual impairments, as well as epilepsy, albinism and emotional distress. RESULTS: Two thousand, five hundred sixty-one children were identified by key informants, of whom 2191 were visited by paediatricians (response rate = 85.6%). Overall, 597 children were determined to have an impairment/health condition, giving a prevalence of disability of 11.4 per 1000 children (10.6- 12.2). Intellectual impairment was most common (6.5 per 1000), followed by physical (4.9 per 1000) and hearing impairments (4.7 per 1000). Many children had never sought medical attention for their impairment/health condition, with health seeking ranging from 40.0% of children with visual impairment to 67.2% for children with physical impairments. CONCLUSION: The Key Informant Method enabled the identification of a large number of children with disabling impairments and health conditions in rural Niger, many of whom have unmet needs for health and other services. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12887-022-03226-0. BioMed Central 2022-03-31 /pmc/articles/PMC8969242/ /pubmed/35361177 http://dx.doi.org/10.1186/s12887-022-03226-0 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Banks, Lena Morgon
Liu, Jing
Kielland, Anne
Tahirou, Ali Bako
Harouna, Abdoul Karim Seydou
Mactaggart, Islay
Dybdahl, Ragnhild
Mounkaila, Dan Firoun
Grønningsæter, Arne
Childhood disability in rural Niger: a population-based assessment using the Key Informant Method
title Childhood disability in rural Niger: a population-based assessment using the Key Informant Method
title_full Childhood disability in rural Niger: a population-based assessment using the Key Informant Method
title_fullStr Childhood disability in rural Niger: a population-based assessment using the Key Informant Method
title_full_unstemmed Childhood disability in rural Niger: a population-based assessment using the Key Informant Method
title_short Childhood disability in rural Niger: a population-based assessment using the Key Informant Method
title_sort childhood disability in rural niger: a population-based assessment using the key informant method
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8969242/
https://www.ncbi.nlm.nih.gov/pubmed/35361177
http://dx.doi.org/10.1186/s12887-022-03226-0
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