‘It’s in the data’: an exploration on how data gaps are worsening addressing health inequalities for Black British people

Stolen Tools Pub Date : 2023-06-21 DOI:10.59745/st.v1i1.16
Beauty Dhlamini
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Abstract

Data gaps have continued to persist within global health, especially for Black British people. This has largely had dire impacts on their health outcomes and has made it harder to provide interventions that meet their needs. This article assesses the problem of data gaps, the impact of these gaps on our health and most importantly why we need better data practices. Too often, it is thought that there is already enough data for minoritized communities that exists, and the focus should largely be on addressing the racism that persists at an institutional, and structural level. However, I argue that it is not enough to just have homogenised data; we need specific and nuanced data that accurately captures the data on how inequalities impact Black British people so we know how to accurately address them. The homogenisation fails to answer how and why these things keep affecting us especially some ethnic groups more than others, and not how we can stop it from happening altogether. Access to better data would also cut through the veneer of generalisations. My vision for the future of health data is having data that is readily available on all health issues affecting Black people, that will help accurately challenge racism at every level: individual, collective, structural racism and institutional racism. In order to achieve this, I conclude with the hope this article can be a starting point for critique and interrogation of all forms of data for those working within, and across the field because improving the data practices for Black British people and their health inequalities, will consequently improve all our health inequalities.
“一切都在数据中”:探索数据差距如何恶化,解决英国黑人的健康不平等问题
在全球卫生领域,特别是对英国黑人而言,数据差距继续存在。这在很大程度上对他们的健康结果产生了可怕的影响,并使提供满足其需求的干预措施变得更加困难。本文评估了数据差距的问题、这些差距对我们健康的影响,以及最重要的是为什么我们需要更好的数据实践。很多时候,人们认为已经有足够的关于少数族裔社区的数据,重点应该放在解决在体制和结构层面上持续存在的种族主义上。然而,我认为仅仅拥有同质化的数据是不够的;我们需要具体而细致的数据,准确地捕捉不平等如何影响英国黑人的数据,这样我们就知道如何准确地解决这些问题。同质化并没有回答这些事情是如何以及为什么对我们产生影响的,尤其是对一些种族群体的影响比对其他种族的影响更大,也没有回答我们如何才能完全阻止它的发生。获得更好的数据也将打破泛化的表象。我对未来健康数据的愿景是,拥有影响黑人的所有健康问题的现成数据,这将有助于准确地挑战各个层面的种族主义:个人、集体、结构性种族主义和体制性种族主义。为了实现这一目标,我希望这篇文章可以成为一个起点,为那些在这个领域内外工作的人批评和质疑所有形式的数据,因为改善英国黑人的数据实践和他们的健康不平等,将最终改善我们所有的健康不平等。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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