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Planning for Outcomes (P(4)O) Modeling Tool: Estimating the Impact of Changing the Proportion of Injectable Progestins in the Contraceptive Method Mix

BACKGROUND: Observational studies raise concern about a potential link between injectable progestin contraceptive use and HIV acquisition risk. This possible link is particularly relevant in sub-Saharan Africa where HIV risk is high and the method mix is skewed toward injectables. We developed the P...

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Autores principales: Lebetkin, Elena, Gao, Xiaoming, Taylor, Douglas, Maldonado, Lauren Y., Saad, Abdulmumin, Steiner, Markus J., Dorflinger, Laneta J., Nanda, Kavita, Mastro, Timothy D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Global Health: Science and Practice 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6641814/
https://www.ncbi.nlm.nih.gov/pubmed/31189699
http://dx.doi.org/10.9745/GHSP-D-19-00062
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author Lebetkin, Elena
Gao, Xiaoming
Taylor, Douglas
Maldonado, Lauren Y.
Saad, Abdulmumin
Steiner, Markus J.
Dorflinger, Laneta J.
Nanda, Kavita
Mastro, Timothy D.
author_facet Lebetkin, Elena
Gao, Xiaoming
Taylor, Douglas
Maldonado, Lauren Y.
Saad, Abdulmumin
Steiner, Markus J.
Dorflinger, Laneta J.
Nanda, Kavita
Mastro, Timothy D.
author_sort Lebetkin, Elena
collection PubMed
description BACKGROUND: Observational studies raise concern about a potential link between injectable progestin contraceptive use and HIV acquisition risk. This possible link is particularly relevant in sub-Saharan Africa where HIV risk is high and the method mix is skewed toward injectables. We developed the Planning for Outcomes (P(4)O) model (https://planning4outcomes.ctiexchange.org/) to predict changes in maternal and child health (MCH) and HIV outcomes that could occur if the proportion of injectables in the method mix is changed. METHODS: P(4)O incorporates evidence-based assumptions to predict yearly changes in unintended pregnancies, morbidity/mortality, HIV infections (women and infants), and anticipated health care costs associated with changing the proportions of injectable users in 22 selected countries. Users of this model designate all countries or a subset and adjust inputs including percentage of injectable users who discontinue, percentage of discontinuers who begin use of an alternative method, hazard ratio for HIV infection with injectable use, method mix used by injectable discontinuers, annual probabilities of method-specific pregnancy and mother-to-child transmission of HIV, condom effectiveness against HIV, risk of HIV during pregnancy, and HIV incidence among women of reproductive age. RESULTS: Illustrative results from all sub-Saharan African countries combined and from selected countries demonstrate the potential of P(4)O to inform program planning and procurement decisions. In countries with high use of long-acting reversible contraception, the removal of injectables from the method mix is associated with improvement in MCH and HIV indicators if most injectable users switch to more effective methods (e.g., implants). In countries with high use of short-acting methods (e.g., condoms), the model predicts mostly negative MCH outcomes. CONCLUSIONS: Policy makers and program planners may use P(4)O to inform programming and policy decisions. In all scenarios, programmatic preparation to accommodate changes to the contraceptive method mix, considerations of how the individual desires of women will be addressed, and potential burden of anticipated MCH-related costs warrant advanced consideration.
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spelling pubmed-66418142019-07-29 Planning for Outcomes (P(4)O) Modeling Tool: Estimating the Impact of Changing the Proportion of Injectable Progestins in the Contraceptive Method Mix Lebetkin, Elena Gao, Xiaoming Taylor, Douglas Maldonado, Lauren Y. Saad, Abdulmumin Steiner, Markus J. Dorflinger, Laneta J. Nanda, Kavita Mastro, Timothy D. Glob Health Sci Pract Technical Notes BACKGROUND: Observational studies raise concern about a potential link between injectable progestin contraceptive use and HIV acquisition risk. This possible link is particularly relevant in sub-Saharan Africa where HIV risk is high and the method mix is skewed toward injectables. We developed the Planning for Outcomes (P(4)O) model (https://planning4outcomes.ctiexchange.org/) to predict changes in maternal and child health (MCH) and HIV outcomes that could occur if the proportion of injectables in the method mix is changed. METHODS: P(4)O incorporates evidence-based assumptions to predict yearly changes in unintended pregnancies, morbidity/mortality, HIV infections (women and infants), and anticipated health care costs associated with changing the proportions of injectable users in 22 selected countries. Users of this model designate all countries or a subset and adjust inputs including percentage of injectable users who discontinue, percentage of discontinuers who begin use of an alternative method, hazard ratio for HIV infection with injectable use, method mix used by injectable discontinuers, annual probabilities of method-specific pregnancy and mother-to-child transmission of HIV, condom effectiveness against HIV, risk of HIV during pregnancy, and HIV incidence among women of reproductive age. RESULTS: Illustrative results from all sub-Saharan African countries combined and from selected countries demonstrate the potential of P(4)O to inform program planning and procurement decisions. In countries with high use of long-acting reversible contraception, the removal of injectables from the method mix is associated with improvement in MCH and HIV indicators if most injectable users switch to more effective methods (e.g., implants). In countries with high use of short-acting methods (e.g., condoms), the model predicts mostly negative MCH outcomes. CONCLUSIONS: Policy makers and program planners may use P(4)O to inform programming and policy decisions. In all scenarios, programmatic preparation to accommodate changes to the contraceptive method mix, considerations of how the individual desires of women will be addressed, and potential burden of anticipated MCH-related costs warrant advanced consideration. Global Health: Science and Practice 2019-06-24 /pmc/articles/PMC6641814/ /pubmed/31189699 http://dx.doi.org/10.9745/GHSP-D-19-00062 Text en © Lebetkin et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly cited. To view a copy of the license, visit http://creativecommons.org/licenses/by/4.0/. When linking to this article, please use the following permanent link: https://doi.org/10.9745/GHSP-D-19-00062
spellingShingle Technical Notes
Lebetkin, Elena
Gao, Xiaoming
Taylor, Douglas
Maldonado, Lauren Y.
Saad, Abdulmumin
Steiner, Markus J.
Dorflinger, Laneta J.
Nanda, Kavita
Mastro, Timothy D.
Planning for Outcomes (P(4)O) Modeling Tool: Estimating the Impact of Changing the Proportion of Injectable Progestins in the Contraceptive Method Mix
title Planning for Outcomes (P(4)O) Modeling Tool: Estimating the Impact of Changing the Proportion of Injectable Progestins in the Contraceptive Method Mix
title_full Planning for Outcomes (P(4)O) Modeling Tool: Estimating the Impact of Changing the Proportion of Injectable Progestins in the Contraceptive Method Mix
title_fullStr Planning for Outcomes (P(4)O) Modeling Tool: Estimating the Impact of Changing the Proportion of Injectable Progestins in the Contraceptive Method Mix
title_full_unstemmed Planning for Outcomes (P(4)O) Modeling Tool: Estimating the Impact of Changing the Proportion of Injectable Progestins in the Contraceptive Method Mix
title_short Planning for Outcomes (P(4)O) Modeling Tool: Estimating the Impact of Changing the Proportion of Injectable Progestins in the Contraceptive Method Mix
title_sort planning for outcomes (p(4)o) modeling tool: estimating the impact of changing the proportion of injectable progestins in the contraceptive method mix
topic Technical Notes
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6641814/
https://www.ncbi.nlm.nih.gov/pubmed/31189699
http://dx.doi.org/10.9745/GHSP-D-19-00062
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