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Pregnancy intention data completeness, quality and utility in population-based surveys: EN-INDEPTH study

BACKGROUND: An estimated 40% of pregnancies globally are unintended. Measurement of pregnancy intention in low- and middle-income countries relies heavily on surveys, notably Demographic and Health Surveys (DHS), yet few studies have evaluated survey questions. We examined questions for measuring pr...

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Autores principales: Yargawa, Judith, Machiyama, Kazuyo, Ponce Hardy, Victoria, Enuameh, Yeetey, Galiwango, Edward, Gelaye, Kassahun, Mahmud, Kaiser, Thysen, Sanne M., Kadengye, Damazo T., Gordeev, Vladimir Sergeevich, Blencowe, Hannah, Lawn, Joy E., Baschieri, Angela, Cleland, John
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7869206/
https://www.ncbi.nlm.nih.gov/pubmed/33557851
http://dx.doi.org/10.1186/s12963-020-00227-y
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author Yargawa, Judith
Machiyama, Kazuyo
Ponce Hardy, Victoria
Enuameh, Yeetey
Galiwango, Edward
Gelaye, Kassahun
Mahmud, Kaiser
Thysen, Sanne M.
Kadengye, Damazo T.
Gordeev, Vladimir Sergeevich
Blencowe, Hannah
Lawn, Joy E.
Baschieri, Angela
Cleland, John
author_facet Yargawa, Judith
Machiyama, Kazuyo
Ponce Hardy, Victoria
Enuameh, Yeetey
Galiwango, Edward
Gelaye, Kassahun
Mahmud, Kaiser
Thysen, Sanne M.
Kadengye, Damazo T.
Gordeev, Vladimir Sergeevich
Blencowe, Hannah
Lawn, Joy E.
Baschieri, Angela
Cleland, John
author_sort Yargawa, Judith
collection PubMed
description BACKGROUND: An estimated 40% of pregnancies globally are unintended. Measurement of pregnancy intention in low- and middle-income countries relies heavily on surveys, notably Demographic and Health Surveys (DHS), yet few studies have evaluated survey questions. We examined questions for measuring pregnancy intention, which are already in the DHS, and additional questions and investigated associations with maternity care utilisation and adverse pregnancy outcomes. METHODS: The EN-INDEPTH study surveyed 69,176 women of reproductive age in five Health and Demographic Surveillance System sites in Ghana, Guinea-Bissau, Ethiopia, Uganda and Bangladesh (2017–2018). We investigated responses to survey questions regarding pregnancy intention in two ways: (i) pregnancy-specific intention and (ii) desired-versus-actual family size. We assessed data completeness for each and level of agreement between the two questions, and with future fertility desire. We analysed associations between pregnancy intention and number and timing of antenatal care visits, place of delivery, and stillbirth, neonatal death and low birthweight. RESULTS: Missing data were <2% in all questions. Responses to pregnancy-specific questions were more consistent with future fertility desire than desired-versus-actual family size responses. Using the pregnancy-specific questions, 7.4% of women who reported their last pregnancy as unwanted reported wanting more children in the future, compared with 45.1% of women in the corresponding desired family size category. Women reporting unintended pregnancies were less likely to attend 4+ antenatal care visits (aOR 0.73, 95% CI 0.64–0.83), have their first visit during the first trimester (aOR 0.71, 95% CI 0.63–0.79), and report stillbirths (aOR 0.57, 95% CI 0.44–0.73) or neonatal deaths (aOR 0.79, 95% CI 0.64–0.96), compared with women reporting intended pregnancies. We found no associations for desired-versus-actual family size intention. CONCLUSIONS: We found the pregnancy-specific intention questions to be a much more reliable assessment of pregnancy intention than the desired-versus-actual family size questions, despite a reluctance to report pregnancies as unwanted rather than mistimed. The additional questions were useful and may complement current DHS questions, although these are not the only possibilities. As women with unintended pregnancies were more likely to miss timely and frequent antenatal care, implementation research is required to improve coverage and quality of care for those women.
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spelling pubmed-78692062021-02-08 Pregnancy intention data completeness, quality and utility in population-based surveys: EN-INDEPTH study Yargawa, Judith Machiyama, Kazuyo Ponce Hardy, Victoria Enuameh, Yeetey Galiwango, Edward Gelaye, Kassahun Mahmud, Kaiser Thysen, Sanne M. Kadengye, Damazo T. Gordeev, Vladimir Sergeevich Blencowe, Hannah Lawn, Joy E. Baschieri, Angela Cleland, John Popul Health Metr Research BACKGROUND: An estimated 40% of pregnancies globally are unintended. Measurement of pregnancy intention in low- and middle-income countries relies heavily on surveys, notably Demographic and Health Surveys (DHS), yet few studies have evaluated survey questions. We examined questions for measuring pregnancy intention, which are already in the DHS, and additional questions and investigated associations with maternity care utilisation and adverse pregnancy outcomes. METHODS: The EN-INDEPTH study surveyed 69,176 women of reproductive age in five Health and Demographic Surveillance System sites in Ghana, Guinea-Bissau, Ethiopia, Uganda and Bangladesh (2017–2018). We investigated responses to survey questions regarding pregnancy intention in two ways: (i) pregnancy-specific intention and (ii) desired-versus-actual family size. We assessed data completeness for each and level of agreement between the two questions, and with future fertility desire. We analysed associations between pregnancy intention and number and timing of antenatal care visits, place of delivery, and stillbirth, neonatal death and low birthweight. RESULTS: Missing data were <2% in all questions. Responses to pregnancy-specific questions were more consistent with future fertility desire than desired-versus-actual family size responses. Using the pregnancy-specific questions, 7.4% of women who reported their last pregnancy as unwanted reported wanting more children in the future, compared with 45.1% of women in the corresponding desired family size category. Women reporting unintended pregnancies were less likely to attend 4+ antenatal care visits (aOR 0.73, 95% CI 0.64–0.83), have their first visit during the first trimester (aOR 0.71, 95% CI 0.63–0.79), and report stillbirths (aOR 0.57, 95% CI 0.44–0.73) or neonatal deaths (aOR 0.79, 95% CI 0.64–0.96), compared with women reporting intended pregnancies. We found no associations for desired-versus-actual family size intention. CONCLUSIONS: We found the pregnancy-specific intention questions to be a much more reliable assessment of pregnancy intention than the desired-versus-actual family size questions, despite a reluctance to report pregnancies as unwanted rather than mistimed. The additional questions were useful and may complement current DHS questions, although these are not the only possibilities. As women with unintended pregnancies were more likely to miss timely and frequent antenatal care, implementation research is required to improve coverage and quality of care for those women. BioMed Central 2021-02-08 /pmc/articles/PMC7869206/ /pubmed/33557851 http://dx.doi.org/10.1186/s12963-020-00227-y Text en © The Author(s) 2021 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/. The Creative Commons Public Domain Dedication waiver (http://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
Yargawa, Judith
Machiyama, Kazuyo
Ponce Hardy, Victoria
Enuameh, Yeetey
Galiwango, Edward
Gelaye, Kassahun
Mahmud, Kaiser
Thysen, Sanne M.
Kadengye, Damazo T.
Gordeev, Vladimir Sergeevich
Blencowe, Hannah
Lawn, Joy E.
Baschieri, Angela
Cleland, John
Pregnancy intention data completeness, quality and utility in population-based surveys: EN-INDEPTH study
title Pregnancy intention data completeness, quality and utility in population-based surveys: EN-INDEPTH study
title_full Pregnancy intention data completeness, quality and utility in population-based surveys: EN-INDEPTH study
title_fullStr Pregnancy intention data completeness, quality and utility in population-based surveys: EN-INDEPTH study
title_full_unstemmed Pregnancy intention data completeness, quality and utility in population-based surveys: EN-INDEPTH study
title_short Pregnancy intention data completeness, quality and utility in population-based surveys: EN-INDEPTH study
title_sort pregnancy intention data completeness, quality and utility in population-based surveys: en-indepth study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7869206/
https://www.ncbi.nlm.nih.gov/pubmed/33557851
http://dx.doi.org/10.1186/s12963-020-00227-y
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