JOURNAL ARTICLE
Decolonisation of global conferences: unfinished business for women's health advocates.
Published In: British Journal of Midwifery, 2024, v. 32, n. 12. P. 684 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Maclean, Emily 3 of 3
Abstract
Global health consensus in recent years has highlighted 'decolonisation' as an important factor in the pursuit of equity. Initiatives such as the United Nations' sustainable development goals for 2030 have come amid talk of 'bottom up' programming, driven by the needs of people living and working in the world's most deprived regions. However, most high-level meetings still take place in wealthy countries where United Nations bodies, major donors and the biggest non-governmental organisations are headquartered. In midwifery, maternity experts from low- and middle-income countries may struggle to take part in discussions because of barriers such as visa restrictions, travel costs and the challenge of breaking into old-school networks. Meanwhile multimillion dollar programmes designed to save mothers' and babies' lives lose out on insights from the very people that they are intended to help. With this in mind, a wave of non-governmental organisations focused on women's health and gender equality are moving their conferences closer to the action. This article explores a dynamic field, where forces for change are responding directly to evidence on 'conference inequity'. Non-governmental organisations including WomenLift Health and the International Confederation of Midwives explain how and why they are shaking things up. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:British Journal of Midwifery. 2024/12, Vol. 32, Issue 12, p684
- Document Type:Article
- Subject Area:Science
- Publication Date:2024
- ISSN:0969-4900
- DOI:10.12968/bjom.2024.0055
- Accession Number:181279478
- Copyright Statement:Copyright of British Journal of Midwifery is the property of Mark Allen Holdings Limited and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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