sábado, 8 de agosto de 2020

International Sexual Health And REproductive (I-SHARE) Health Survey during COVID-19: Study Protocol for Online National Surveys and Global Comparative Analyses | NLM

Disaster Information Management Research Center | NLM

Disaster Information and Emergency Response

06/01/2020 12:00 AM EDT


Source: Academic Network for Sexual and Reproductive Health and Rights Policy [Ghent University] (ANSER). Published: 6/2020. COVID-19 may have a profound impact on sexual behaviors, reproductive health, and social life across the world. Shelter-in-place regulations that have extended across the globe may influence condomless sex, exacerbate intimate partner violence, and reduce access to essential reproductive health services. Population-representative research is challenging during shelter-in-place, leaving major gaps in our understanding of sexual and reproductive health during COVID-19. This International Sexual Health And REproductive (I-SHARE) study protocol manuscript describes a common plan for online national surveys and global comparative analyses. Methods: The purpose of this cross-sectional study is to better understand sexual and reproductive health in selected countries during COVID-19 and facilitate multi-national comparisons. Participants will be recruited in selected countries through an online survey. The survey link will be disseminated through local, regional, and national networks. In each country, a lead organization will be responsible for organizing ethical review, translation, and survey administration. The consortium network provides support for national studies, coordination, and multi-national comparison. We will use multi-level modeling to determine the relationship between COVID-19 and condomless sex, gender-based violence, access to reproductive health services, HIV testing, and other key items. This study protocol defines primary outcomes, pre-specified subanalyses, and analysis plans. The I-SHARE study examines sexual and reproductive health at the national and global level. We will use multi-level modeling to examine country-level variables associated with outcomes of interest. This will provide a foundation for subsequent online multi-country comparison using more robust sampling methodologies. Population: Adults Only Language(s): English (PDF)

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