Cargando…
Clustering of child deaths among families in low and middle‐income countries: A meta‐analysis
BACKGROUND AND AIMS: Several studies have examined the phenomenon of “death clustering,” in which two or more children born to the same mother or from the same family die at an early age. Therefore, a scientific examination of the results is essential to understand how the survival status of the old...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10319960/ https://www.ncbi.nlm.nih.gov/pubmed/37415675 http://dx.doi.org/10.1002/hsr2.1197 |
_version_ | 1785068350216339456 |
---|---|
author | Dwivedi, Laxmi Kant Ranjan, Mukesh Mishra, Rahul Ahmed, Waquar Bhatia, Mrigesh |
author_facet | Dwivedi, Laxmi Kant Ranjan, Mukesh Mishra, Rahul Ahmed, Waquar Bhatia, Mrigesh |
author_sort | Dwivedi, Laxmi Kant |
collection | PubMed |
description | BACKGROUND AND AIMS: Several studies have examined the phenomenon of “death clustering,” in which two or more children born to the same mother or from the same family die at an early age. Therefore, a scientific examination of the results is essential to understand how the survival status of the older siblings affects the survival of the younger siblings. By using meta‐analysis, this study aims to provide a quantitative synthesis of the results of studies on “child death clustering” in low‐ and middle‐income countries (LMICs). METHODS: This study followed the PRISMA‐P 2015 guidelines. We used four electronic databases—PubMed, Medline, Scopus, and Google Scholar with search and citation analysis capabilities. Initially, 140 studies were identified, but only 27 met the eligibility criteria eventually. These were studies that had used the death of a previous child as a covariate to determine the survival status of the index child. The heterogeneity and the publication bias of the studies were examined using the Cochran test, I (2) statistic, and Egger's meta‐regression test. RESULTS: The pooled estimate of 114 study estimates for LMICs contains some bias. India's 37 study estimates were distributed more or less equally along the middle line, indicating no publication bias, while there was a slight bias in the estimates for Africa, Latin America, and Bangladesh. The odds of experiencing the death of the index child in the selected LMICs were 2.3 times higher for mothers who had lost any prior child as compared to those mothers who had not had any prior child loss. For African mothers, the odds were five times higher, whereas for Indian mothers, the odds were 1.66 times higher. Mothers' characteristics, such as education, occupation, health‐seeking behavior, and maternal competence, significantly affect the child's survival status. CONCLUSION: Achieving the sustainable development goals would not be possible if mothers in countries experiencing high levels of under‐five mortality are not provided with better health and nutrition facilities. Mothers who have lost multiple children should be targeted for assistance. |
format | Online Article Text |
id | pubmed-10319960 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-103199602023-07-06 Clustering of child deaths among families in low and middle‐income countries: A meta‐analysis Dwivedi, Laxmi Kant Ranjan, Mukesh Mishra, Rahul Ahmed, Waquar Bhatia, Mrigesh Health Sci Rep Original Research BACKGROUND AND AIMS: Several studies have examined the phenomenon of “death clustering,” in which two or more children born to the same mother or from the same family die at an early age. Therefore, a scientific examination of the results is essential to understand how the survival status of the older siblings affects the survival of the younger siblings. By using meta‐analysis, this study aims to provide a quantitative synthesis of the results of studies on “child death clustering” in low‐ and middle‐income countries (LMICs). METHODS: This study followed the PRISMA‐P 2015 guidelines. We used four electronic databases—PubMed, Medline, Scopus, and Google Scholar with search and citation analysis capabilities. Initially, 140 studies were identified, but only 27 met the eligibility criteria eventually. These were studies that had used the death of a previous child as a covariate to determine the survival status of the index child. The heterogeneity and the publication bias of the studies were examined using the Cochran test, I (2) statistic, and Egger's meta‐regression test. RESULTS: The pooled estimate of 114 study estimates for LMICs contains some bias. India's 37 study estimates were distributed more or less equally along the middle line, indicating no publication bias, while there was a slight bias in the estimates for Africa, Latin America, and Bangladesh. The odds of experiencing the death of the index child in the selected LMICs were 2.3 times higher for mothers who had lost any prior child as compared to those mothers who had not had any prior child loss. For African mothers, the odds were five times higher, whereas for Indian mothers, the odds were 1.66 times higher. Mothers' characteristics, such as education, occupation, health‐seeking behavior, and maternal competence, significantly affect the child's survival status. CONCLUSION: Achieving the sustainable development goals would not be possible if mothers in countries experiencing high levels of under‐five mortality are not provided with better health and nutrition facilities. Mothers who have lost multiple children should be targeted for assistance. John Wiley and Sons Inc. 2023-07-04 /pmc/articles/PMC10319960/ /pubmed/37415675 http://dx.doi.org/10.1002/hsr2.1197 Text en © 2023 The Authors. Health Science Reports published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Original Research Dwivedi, Laxmi Kant Ranjan, Mukesh Mishra, Rahul Ahmed, Waquar Bhatia, Mrigesh Clustering of child deaths among families in low and middle‐income countries: A meta‐analysis |
title | Clustering of child deaths among families in low and middle‐income countries: A meta‐analysis |
title_full | Clustering of child deaths among families in low and middle‐income countries: A meta‐analysis |
title_fullStr | Clustering of child deaths among families in low and middle‐income countries: A meta‐analysis |
title_full_unstemmed | Clustering of child deaths among families in low and middle‐income countries: A meta‐analysis |
title_short | Clustering of child deaths among families in low and middle‐income countries: A meta‐analysis |
title_sort | clustering of child deaths among families in low and middle‐income countries: a meta‐analysis |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10319960/ https://www.ncbi.nlm.nih.gov/pubmed/37415675 http://dx.doi.org/10.1002/hsr2.1197 |
work_keys_str_mv | AT dwivedilaxmikant clusteringofchilddeathsamongfamiliesinlowandmiddleincomecountriesametaanalysis AT ranjanmukesh clusteringofchilddeathsamongfamiliesinlowandmiddleincomecountriesametaanalysis AT mishrarahul clusteringofchilddeathsamongfamiliesinlowandmiddleincomecountriesametaanalysis AT ahmedwaquar clusteringofchilddeathsamongfamiliesinlowandmiddleincomecountriesametaanalysis AT bhatiamrigesh clusteringofchilddeathsamongfamiliesinlowandmiddleincomecountriesametaanalysis |