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Estimating the effects of policies on infertility prevalence worldwide

BACKGROUND: Infertility has troubled millions of people worldwide while always being an ignored issue. The high cost of treatment or lack of services placed a barrier to the alleviation of infertility status. Governments play a significant role to promote infertility-related policies for better acce...

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Autores principales: Zhang, Xiaochen, Guan, Quanquan, Yu, Qiurun, Xiao, Wenwen, Chen, Ziyu, Dong, Chao, Deng, Siting, Zhuang, Yin, Xia, Yankai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9295370/
https://www.ncbi.nlm.nih.gov/pubmed/35854262
http://dx.doi.org/10.1186/s12889-022-13802-9
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author Zhang, Xiaochen
Guan, Quanquan
Yu, Qiurun
Xiao, Wenwen
Chen, Ziyu
Dong, Chao
Deng, Siting
Zhuang, Yin
Xia, Yankai
author_facet Zhang, Xiaochen
Guan, Quanquan
Yu, Qiurun
Xiao, Wenwen
Chen, Ziyu
Dong, Chao
Deng, Siting
Zhuang, Yin
Xia, Yankai
author_sort Zhang, Xiaochen
collection PubMed
description BACKGROUND: Infertility has troubled millions of people worldwide while always being an ignored issue. The high cost of treatment or lack of services placed a barrier to the alleviation of infertility status. Governments play a significant role to promote infertility-related policies for better access to infertility services and comprehensive supports for infertile people. METHODS: Data of infertility status indicators and infertility-related policies in ten representative countries were collected. An infertility-related policy system was established, then classification and quantification were processed according to specific criteria, and different policy implementation patterns were identified. The effectiveness of specific infertility-related policy and various patterns on infertility prevalence relief between 1990 and 2017 were evaluated via generalized linear models and analyses of covariance for the first time. RESULTS: Economic support policies would be less prioritized compared with social security policies, while economic support policy had a significant positive role in the decline of female infertility prevalence (β = -2·16, p = 0·042). In detail, insurance coverage and economic reward policies were crucial (β = -3·31, p = 0·031; β = -4·10, p = 0·025) with adjusted with covariates. The effect of economic support-oriented pattern was relatively better than other patterns for both male and female infertility prevalence relief. Nevertheless, the effectiveness of gradual-promotion pattern seemed preferable for male infertility prevalence relief while was similar with simultaneous-promotion pattern for females. CONCLUSIONS: Our data-driven analysis revealed that insurance coverage and economic reward policies played the pivotal role in moderation of female infertility status. Economic support-oriented pattern and gradual-promotion pattern were preferable when promoting infertility-related policies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-13802-9.
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spelling pubmed-92953702022-07-20 Estimating the effects of policies on infertility prevalence worldwide Zhang, Xiaochen Guan, Quanquan Yu, Qiurun Xiao, Wenwen Chen, Ziyu Dong, Chao Deng, Siting Zhuang, Yin Xia, Yankai BMC Public Health Research BACKGROUND: Infertility has troubled millions of people worldwide while always being an ignored issue. The high cost of treatment or lack of services placed a barrier to the alleviation of infertility status. Governments play a significant role to promote infertility-related policies for better access to infertility services and comprehensive supports for infertile people. METHODS: Data of infertility status indicators and infertility-related policies in ten representative countries were collected. An infertility-related policy system was established, then classification and quantification were processed according to specific criteria, and different policy implementation patterns were identified. The effectiveness of specific infertility-related policy and various patterns on infertility prevalence relief between 1990 and 2017 were evaluated via generalized linear models and analyses of covariance for the first time. RESULTS: Economic support policies would be less prioritized compared with social security policies, while economic support policy had a significant positive role in the decline of female infertility prevalence (β = -2·16, p = 0·042). In detail, insurance coverage and economic reward policies were crucial (β = -3·31, p = 0·031; β = -4·10, p = 0·025) with adjusted with covariates. The effect of economic support-oriented pattern was relatively better than other patterns for both male and female infertility prevalence relief. Nevertheless, the effectiveness of gradual-promotion pattern seemed preferable for male infertility prevalence relief while was similar with simultaneous-promotion pattern for females. CONCLUSIONS: Our data-driven analysis revealed that insurance coverage and economic reward policies played the pivotal role in moderation of female infertility status. Economic support-oriented pattern and gradual-promotion pattern were preferable when promoting infertility-related policies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-13802-9. BioMed Central 2022-07-19 /pmc/articles/PMC9295370/ /pubmed/35854262 http://dx.doi.org/10.1186/s12889-022-13802-9 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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/ (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
Zhang, Xiaochen
Guan, Quanquan
Yu, Qiurun
Xiao, Wenwen
Chen, Ziyu
Dong, Chao
Deng, Siting
Zhuang, Yin
Xia, Yankai
Estimating the effects of policies on infertility prevalence worldwide
title Estimating the effects of policies on infertility prevalence worldwide
title_full Estimating the effects of policies on infertility prevalence worldwide
title_fullStr Estimating the effects of policies on infertility prevalence worldwide
title_full_unstemmed Estimating the effects of policies on infertility prevalence worldwide
title_short Estimating the effects of policies on infertility prevalence worldwide
title_sort estimating the effects of policies on infertility prevalence worldwide
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9295370/
https://www.ncbi.nlm.nih.gov/pubmed/35854262
http://dx.doi.org/10.1186/s12889-022-13802-9
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