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The benefits of family planning (FP) use in Benin: an application of the Demographic Dividend Model (DemDiv)

Background: Despite the increasing interest in improving access to and utilization of family planning (FP) methods, contraceptives prevalence rates remain low in Benin, and its benefits are not well studied. This study projected FP’s benefits for maternal health and child survival over the Sustainab...

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Autor principal: Dansou, Justin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000 Research Limited 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6826173/
https://www.ncbi.nlm.nih.gov/pubmed/31723727
http://dx.doi.org/10.12688/gatesopenres.12906.1
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author Dansou, Justin
author_facet Dansou, Justin
author_sort Dansou, Justin
collection PubMed
description Background: Despite the increasing interest in improving access to and utilization of family planning (FP) methods, contraceptives prevalence rates remain low in Benin, and its benefits are not well studied. This study projected FP’s benefits for maternal health and child survival over the Sustainable Development Goals period. Methods: The Demographic Dividend Model created by the Health Policy Project using a large range of data was applied based exclusively on assumptions on FP policy options between 2015 and 2030. Results: It was found that, under the base scenario with no improvements in FP, education and economic variables, however unrealistic, the number of children per Beninese woman would be the same in 2030 as it was in 2015 – about 4.5 children per woman. Benin’s age structure would remain very young and be dominated by dependents. But, FP–scenarios of improvements in contraceptive variables alone showed a negative and linear relationship between FP use and maternal and child deaths. Under the optimistic scenario, increasing access to and use of FP alone from 7.9% (2015) to 33.95% (2030) will save lives of about 200,000 under five year children and 10,000 mothers by 2030. In addition, the average number of children per woman will fall to 3.5 increasing female life expectancy by 5 years. Benin’s age structure will be balanced with more working age people. The country will also record an increase in its human development indicator. Conclusion: To accelerate progresses towards improvement of maternal health and child survival, and get on track in meeting related health targets of SDGs, the present study revealed the importance of strengthening actions toward access to and use of FP in Benin Republic. There is also a need to strengthen education and economic policies to successfully harness the demographic dividend.
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spelling pubmed-68261732019-11-12 The benefits of family planning (FP) use in Benin: an application of the Demographic Dividend Model (DemDiv) Dansou, Justin Gates Open Res Research Article Background: Despite the increasing interest in improving access to and utilization of family planning (FP) methods, contraceptives prevalence rates remain low in Benin, and its benefits are not well studied. This study projected FP’s benefits for maternal health and child survival over the Sustainable Development Goals period. Methods: The Demographic Dividend Model created by the Health Policy Project using a large range of data was applied based exclusively on assumptions on FP policy options between 2015 and 2030. Results: It was found that, under the base scenario with no improvements in FP, education and economic variables, however unrealistic, the number of children per Beninese woman would be the same in 2030 as it was in 2015 – about 4.5 children per woman. Benin’s age structure would remain very young and be dominated by dependents. But, FP–scenarios of improvements in contraceptive variables alone showed a negative and linear relationship between FP use and maternal and child deaths. Under the optimistic scenario, increasing access to and use of FP alone from 7.9% (2015) to 33.95% (2030) will save lives of about 200,000 under five year children and 10,000 mothers by 2030. In addition, the average number of children per woman will fall to 3.5 increasing female life expectancy by 5 years. Benin’s age structure will be balanced with more working age people. The country will also record an increase in its human development indicator. Conclusion: To accelerate progresses towards improvement of maternal health and child survival, and get on track in meeting related health targets of SDGs, the present study revealed the importance of strengthening actions toward access to and use of FP in Benin Republic. There is also a need to strengthen education and economic policies to successfully harness the demographic dividend. F1000 Research Limited 2019-04-02 /pmc/articles/PMC6826173/ /pubmed/31723727 http://dx.doi.org/10.12688/gatesopenres.12906.1 Text en Copyright: © 2019 Dansou J http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Dansou, Justin
The benefits of family planning (FP) use in Benin: an application of the Demographic Dividend Model (DemDiv)
title The benefits of family planning (FP) use in Benin: an application of the Demographic Dividend Model (DemDiv)
title_full The benefits of family planning (FP) use in Benin: an application of the Demographic Dividend Model (DemDiv)
title_fullStr The benefits of family planning (FP) use in Benin: an application of the Demographic Dividend Model (DemDiv)
title_full_unstemmed The benefits of family planning (FP) use in Benin: an application of the Demographic Dividend Model (DemDiv)
title_short The benefits of family planning (FP) use in Benin: an application of the Demographic Dividend Model (DemDiv)
title_sort benefits of family planning (fp) use in benin: an application of the demographic dividend model (demdiv)
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6826173/
https://www.ncbi.nlm.nih.gov/pubmed/31723727
http://dx.doi.org/10.12688/gatesopenres.12906.1
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