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An evaluation of truncated birth histories for the rapid measurement of fertility and child survival
BACKGROUND: Full birth histories (FBHs) are a key tool for estimating fertility and child mortality in low- and middle-income countries, but they are lengthy to collect. This is not desirable, especially for rapid turnaround surveys that ought to be short (e.g., mobile phone surveys). To reduce the...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10354946/ https://www.ncbi.nlm.nih.gov/pubmed/37464429 http://dx.doi.org/10.1186/s12963-023-00307-9 |
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author | Masquelier, Bruno Menashe-Oren, Ashira Reniers, Georges |
author_facet | Masquelier, Bruno Menashe-Oren, Ashira Reniers, Georges |
author_sort | Masquelier, Bruno |
collection | PubMed |
description | BACKGROUND: Full birth histories (FBHs) are a key tool for estimating fertility and child mortality in low- and middle-income countries, but they are lengthy to collect. This is not desirable, especially for rapid turnaround surveys that ought to be short (e.g., mobile phone surveys). To reduce the length of the interview, some surveys resort to truncated birth histories (TBHs), where questions are asked only on recent births. METHODS: We used 32 Malaria Indicator Surveys that included TBHs from 18 countries in sub-Saharan Africa. Each set of TBHs was paired and compared to an overlapping set of FBHs (typically from a standard Demographic and Health Survey). We conducted a variety of data checks, including a comparison of the proportion of children reported in the reference period and a comparison of the fertility and mortality estimates. RESULTS: Fertility and mortality estimates from TBHs are lower than those based on FBHs. These differences are driven by the omission of events and the displacement of births backward and out of the reference period. CONCLUSIONS: TBHs are prone to misreporting errors that will bias both fertility and mortality estimates. While we find a few significant associations between outcomes measured and interviewer’s characteristics, data quality markers correlate more consistently with respondent attributes, suggesting that truncation creates confusion among mothers being interviewed. Rigorous data quality checks should be put in place when collecting data through this instrument in future surveys. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12963-023-00307-9. |
format | Online Article Text |
id | pubmed-10354946 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-103549462023-07-20 An evaluation of truncated birth histories for the rapid measurement of fertility and child survival Masquelier, Bruno Menashe-Oren, Ashira Reniers, Georges Popul Health Metr Research BACKGROUND: Full birth histories (FBHs) are a key tool for estimating fertility and child mortality in low- and middle-income countries, but they are lengthy to collect. This is not desirable, especially for rapid turnaround surveys that ought to be short (e.g., mobile phone surveys). To reduce the length of the interview, some surveys resort to truncated birth histories (TBHs), where questions are asked only on recent births. METHODS: We used 32 Malaria Indicator Surveys that included TBHs from 18 countries in sub-Saharan Africa. Each set of TBHs was paired and compared to an overlapping set of FBHs (typically from a standard Demographic and Health Survey). We conducted a variety of data checks, including a comparison of the proportion of children reported in the reference period and a comparison of the fertility and mortality estimates. RESULTS: Fertility and mortality estimates from TBHs are lower than those based on FBHs. These differences are driven by the omission of events and the displacement of births backward and out of the reference period. CONCLUSIONS: TBHs are prone to misreporting errors that will bias both fertility and mortality estimates. While we find a few significant associations between outcomes measured and interviewer’s characteristics, data quality markers correlate more consistently with respondent attributes, suggesting that truncation creates confusion among mothers being interviewed. Rigorous data quality checks should be put in place when collecting data through this instrument in future surveys. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12963-023-00307-9. BioMed Central 2023-07-18 /pmc/articles/PMC10354946/ /pubmed/37464429 http://dx.doi.org/10.1186/s12963-023-00307-9 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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 Masquelier, Bruno Menashe-Oren, Ashira Reniers, Georges An evaluation of truncated birth histories for the rapid measurement of fertility and child survival |
title | An evaluation of truncated birth histories for the rapid measurement of fertility and child survival |
title_full | An evaluation of truncated birth histories for the rapid measurement of fertility and child survival |
title_fullStr | An evaluation of truncated birth histories for the rapid measurement of fertility and child survival |
title_full_unstemmed | An evaluation of truncated birth histories for the rapid measurement of fertility and child survival |
title_short | An evaluation of truncated birth histories for the rapid measurement of fertility and child survival |
title_sort | evaluation of truncated birth histories for the rapid measurement of fertility and child survival |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10354946/ https://www.ncbi.nlm.nih.gov/pubmed/37464429 http://dx.doi.org/10.1186/s12963-023-00307-9 |
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