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“New Users” Are Confusing Our Counting: Reaching Consensus on How to Measure “Additional Users” of Family Planning

FP2020's overarching goal is framed around the new metric of “additional users.” This measure inherently captures population-level change but has been conflated with other ambiguous metrics, such as “new users.” Therefore, we propose a standard set of terms to provide more consistent measuremen...

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Detalles Bibliográficos
Autores principales: Dasgupta, Aisha, Weinberger, Michelle, Bellows, Ben, Brown, Win
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Global Health: Science and Practice 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5478230/
https://www.ncbi.nlm.nih.gov/pubmed/28351876
http://dx.doi.org/10.9745/GHSP-D-16-00328
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author Dasgupta, Aisha
Weinberger, Michelle
Bellows, Ben
Brown, Win
author_facet Dasgupta, Aisha
Weinberger, Michelle
Bellows, Ben
Brown, Win
author_sort Dasgupta, Aisha
collection PubMed
description FP2020's overarching goal is framed around the new metric of “additional users.” This measure inherently captures population-level change but has been conflated with other ambiguous metrics, such as “new users.” Therefore, we propose a standard set of terms to provide more consistent measurement. Although commonly used service-level metrics cannot be directly compared to the population-level metric of additional users, we describe 2 modeling approaches that can allow service-level data to inform estimates of additional users.
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spelling pubmed-54782302017-06-30 “New Users” Are Confusing Our Counting: Reaching Consensus on How to Measure “Additional Users” of Family Planning Dasgupta, Aisha Weinberger, Michelle Bellows, Ben Brown, Win Glob Health Sci Pract Commentary FP2020's overarching goal is framed around the new metric of “additional users.” This measure inherently captures population-level change but has been conflated with other ambiguous metrics, such as “new users.” Therefore, we propose a standard set of terms to provide more consistent measurement. Although commonly used service-level metrics cannot be directly compared to the population-level metric of additional users, we describe 2 modeling approaches that can allow service-level data to inform estimates of additional users. Global Health: Science and Practice 2017-03-24 /pmc/articles/PMC5478230/ /pubmed/28351876 http://dx.doi.org/10.9745/GHSP-D-16-00328 Text en © Dasgupta et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, 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/3.0/. When linking to this article, please use the following permanent link: https://doi.org/10.9745/GHSP-D-16-00328
spellingShingle Commentary
Dasgupta, Aisha
Weinberger, Michelle
Bellows, Ben
Brown, Win
“New Users” Are Confusing Our Counting: Reaching Consensus on How to Measure “Additional Users” of Family Planning
title “New Users” Are Confusing Our Counting: Reaching Consensus on How to Measure “Additional Users” of Family Planning
title_full “New Users” Are Confusing Our Counting: Reaching Consensus on How to Measure “Additional Users” of Family Planning
title_fullStr “New Users” Are Confusing Our Counting: Reaching Consensus on How to Measure “Additional Users” of Family Planning
title_full_unstemmed “New Users” Are Confusing Our Counting: Reaching Consensus on How to Measure “Additional Users” of Family Planning
title_short “New Users” Are Confusing Our Counting: Reaching Consensus on How to Measure “Additional Users” of Family Planning
title_sort “new users” are confusing our counting: reaching consensus on how to measure “additional users” of family planning
topic Commentary
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5478230/
https://www.ncbi.nlm.nih.gov/pubmed/28351876
http://dx.doi.org/10.9745/GHSP-D-16-00328
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