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A prospective validation study in South-West Nigeria on caregiver report of childhood pneumonia and antibiotic treatment using Demographic and Health Survey (DHS) and Multiple Indicator Cluster Survey (MICS) questions
BACKGROUND: Childhood pneumonia is the single largest infectious cause of death in children under five worldwide. Demographic and Health Surveys (DHS) and Multiple Indicator Cluster Surveys (MICS) provide health information on care sought for sick children in resource poor settings. Despite not bein...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Edinburgh University Global Health Society
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6150611/ https://www.ncbi.nlm.nih.gov/pubmed/30254744 http://dx.doi.org/10.7189/jogh.08-020806 |
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author | Ayede, Adejumoke I Kirolos, Amir Fowobaje, Kayode R Williams, Linda J Bakare, Ayobami A Oyewole, Oladapo B Olorunfemi, Oluwaseun B Kuna, Oluwaseun Iwuala, Nkechi T Oguntoye, Abolanle Kusoro, Simeon O Okunlola, Mofeyisade E Qazi, Shamim A Nair, Harish Falade, Adegoke G Campbell, Harry |
author_facet | Ayede, Adejumoke I Kirolos, Amir Fowobaje, Kayode R Williams, Linda J Bakare, Ayobami A Oyewole, Oladapo B Olorunfemi, Oluwaseun B Kuna, Oluwaseun Iwuala, Nkechi T Oguntoye, Abolanle Kusoro, Simeon O Okunlola, Mofeyisade E Qazi, Shamim A Nair, Harish Falade, Adegoke G Campbell, Harry |
author_sort | Ayede, Adejumoke I |
collection | PubMed |
description | BACKGROUND: Childhood pneumonia is the single largest infectious cause of death in children under five worldwide. Demographic and Health Surveys (DHS) and Multiple Indicator Cluster Surveys (MICS) provide health information on care sought for sick children in resource poor settings. Despite not being primarily designed to identify childhood pneumonia, there are concerns that reported episodes of “symptoms of acute respiratory infection” in DHS and MICS are often interpreted by other groups as a “proxy” for childhood pneumonia. Using DHS5 and MICS5 survey tools, this study aimed to assess how accurately caregivers report of “symptoms of acute respiratory infection” reflect pneumonia episodes and antibiotic use in children under five. METHODS: Children aged 0 to 59 months presenting with cough and/or difficult breathing were recruited from four study hospitals in Ibadan, Nigeria from August 2015 to March 2017. Children were assessed using World Health Organization (WHO) standard criteria by study physicians to identify whether they had pneumonia. Three hundred and two matched children in each category of ‘pneumonia’ and “no pneumonia” were followed up at home, either two or eight weeks later, using questions from DHS5 and MICS5 surveys to assess the accuracy of caregiver recall of pneumonia. RESULTS: The specificity of DHS5 and MICS5 questions for identifying childhood pneumonia were 87.4 (95% confidence interval (CI) = 83.1-91.0) and 86.1 (95% CI = 81.7–89.8) respectively and the sensitivity of questions were 37.1 (95% CI = 31.6-42.8) and 37.1 (95% CI = 31.6-42.8). Correct recall of antibiotic treatment was poor (kappa statistic = 0.064) but improved with the use of medicine pill boards (kappa statistic = 0.235). CONCLUSIONS: DHS5 and MICS5 survey questions are not designed to identify childhood pneumonia and this study confirms that they do not accurately discern episodes of childhood pneumonia from cough/cold in children under five. The proportion of pneumonia episodes appropriately treated with antibiotics cannot be accurately assessed using current DHS and MICS surveys. If these results are used to guide programmatic decisions, it is likely to encourage overuse and inappropriate prescribing of antibiotics for episodes of cough/cold. International agencies who continue to use these household data to monitor the proportion of children with pneumonia who receive antibiotic treatment should be discouraged from doing this as these data are likely to mislead national and global programmes. Medicine pill boards are used in a number of DHS surveys and should be promoted for wider use in national population surveys to improve the accuracy of antibiotic recall. |
format | Online Article Text |
id | pubmed-6150611 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Edinburgh University Global Health Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-61506112018-09-25 A prospective validation study in South-West Nigeria on caregiver report of childhood pneumonia and antibiotic treatment using Demographic and Health Survey (DHS) and Multiple Indicator Cluster Survey (MICS) questions Ayede, Adejumoke I Kirolos, Amir Fowobaje, Kayode R Williams, Linda J Bakare, Ayobami A Oyewole, Oladapo B Olorunfemi, Oluwaseun B Kuna, Oluwaseun Iwuala, Nkechi T Oguntoye, Abolanle Kusoro, Simeon O Okunlola, Mofeyisade E Qazi, Shamim A Nair, Harish Falade, Adegoke G Campbell, Harry J Glob Health Research Theme 4: Improving Coverage Measurement BACKGROUND: Childhood pneumonia is the single largest infectious cause of death in children under five worldwide. Demographic and Health Surveys (DHS) and Multiple Indicator Cluster Surveys (MICS) provide health information on care sought for sick children in resource poor settings. Despite not being primarily designed to identify childhood pneumonia, there are concerns that reported episodes of “symptoms of acute respiratory infection” in DHS and MICS are often interpreted by other groups as a “proxy” for childhood pneumonia. Using DHS5 and MICS5 survey tools, this study aimed to assess how accurately caregivers report of “symptoms of acute respiratory infection” reflect pneumonia episodes and antibiotic use in children under five. METHODS: Children aged 0 to 59 months presenting with cough and/or difficult breathing were recruited from four study hospitals in Ibadan, Nigeria from August 2015 to March 2017. Children were assessed using World Health Organization (WHO) standard criteria by study physicians to identify whether they had pneumonia. Three hundred and two matched children in each category of ‘pneumonia’ and “no pneumonia” were followed up at home, either two or eight weeks later, using questions from DHS5 and MICS5 surveys to assess the accuracy of caregiver recall of pneumonia. RESULTS: The specificity of DHS5 and MICS5 questions for identifying childhood pneumonia were 87.4 (95% confidence interval (CI) = 83.1-91.0) and 86.1 (95% CI = 81.7–89.8) respectively and the sensitivity of questions were 37.1 (95% CI = 31.6-42.8) and 37.1 (95% CI = 31.6-42.8). Correct recall of antibiotic treatment was poor (kappa statistic = 0.064) but improved with the use of medicine pill boards (kappa statistic = 0.235). CONCLUSIONS: DHS5 and MICS5 survey questions are not designed to identify childhood pneumonia and this study confirms that they do not accurately discern episodes of childhood pneumonia from cough/cold in children under five. The proportion of pneumonia episodes appropriately treated with antibiotics cannot be accurately assessed using current DHS and MICS surveys. If these results are used to guide programmatic decisions, it is likely to encourage overuse and inappropriate prescribing of antibiotics for episodes of cough/cold. International agencies who continue to use these household data to monitor the proportion of children with pneumonia who receive antibiotic treatment should be discouraged from doing this as these data are likely to mislead national and global programmes. Medicine pill boards are used in a number of DHS surveys and should be promoted for wider use in national population surveys to improve the accuracy of antibiotic recall. Edinburgh University Global Health Society 2018-12 2018-09-19 /pmc/articles/PMC6150611/ /pubmed/30254744 http://dx.doi.org/10.7189/jogh.08-020806 Text en Copyright © 2018 by the Journal of Global Health. All rights reserved. http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. |
spellingShingle | Research Theme 4: Improving Coverage Measurement Ayede, Adejumoke I Kirolos, Amir Fowobaje, Kayode R Williams, Linda J Bakare, Ayobami A Oyewole, Oladapo B Olorunfemi, Oluwaseun B Kuna, Oluwaseun Iwuala, Nkechi T Oguntoye, Abolanle Kusoro, Simeon O Okunlola, Mofeyisade E Qazi, Shamim A Nair, Harish Falade, Adegoke G Campbell, Harry A prospective validation study in South-West Nigeria on caregiver report of childhood pneumonia and antibiotic treatment using Demographic and Health Survey (DHS) and Multiple Indicator Cluster Survey (MICS) questions |
title | A prospective validation study in South-West Nigeria on caregiver report of childhood pneumonia and antibiotic treatment using Demographic and Health Survey (DHS) and Multiple Indicator Cluster Survey (MICS) questions |
title_full | A prospective validation study in South-West Nigeria on caregiver report of childhood pneumonia and antibiotic treatment using Demographic and Health Survey (DHS) and Multiple Indicator Cluster Survey (MICS) questions |
title_fullStr | A prospective validation study in South-West Nigeria on caregiver report of childhood pneumonia and antibiotic treatment using Demographic and Health Survey (DHS) and Multiple Indicator Cluster Survey (MICS) questions |
title_full_unstemmed | A prospective validation study in South-West Nigeria on caregiver report of childhood pneumonia and antibiotic treatment using Demographic and Health Survey (DHS) and Multiple Indicator Cluster Survey (MICS) questions |
title_short | A prospective validation study in South-West Nigeria on caregiver report of childhood pneumonia and antibiotic treatment using Demographic and Health Survey (DHS) and Multiple Indicator Cluster Survey (MICS) questions |
title_sort | prospective validation study in south-west nigeria on caregiver report of childhood pneumonia and antibiotic treatment using demographic and health survey (dhs) and multiple indicator cluster survey (mics) questions |
topic | Research Theme 4: Improving Coverage Measurement |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6150611/ https://www.ncbi.nlm.nih.gov/pubmed/30254744 http://dx.doi.org/10.7189/jogh.08-020806 |
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