NYC Department of Health and Mental Hygiene, Queens, New York.
J Public Health Manag Pract. 2023;29(1):11-20. doi: 10.1097/PHH.0000000000001579. Epub 2022 Aug 31.
To develop recommendations to embed equity into data work at a local health department and a framework for antiracist data praxis.
A working group comprised staff from across the agency whose positions involved data collection, analysis, interpretation, or communication met during April-July 2018 to identify and discuss successes and challenges experienced by staff and to generate recommendations for achieving equitable data practices.
Local health department in New York City.
The recommendations encompassed 6 themes: strengthening analytic skills, communication and interpretation, data collection and aggregation, community engagement, infrastructure and capacity building, and leadership and innovation. Specific projects are underway or have been completed.
Improving equity in data requires changes to data processes and commitment to racial and intersectional justice and process change at all levels of the organization and across job functions. We developed a collaborative model for how a local health department can reform data work to embed an equity lens. This framework serves as a model for jurisdictions to build upon in their own efforts to promote equitable health outcomes and become antiracist organizations.
为地方卫生部门制定将公平性嵌入数据工作的建议，并为反种族主义数据实践制定框架。
一个由机构内各职位涉及数据收集、分析、解释或沟通的工作人员组成的工作组，于 2018 年 4 月至 7 月期间会面，以确定和讨论工作人员的成功和挑战，并提出实现公平数据实践的建议。
纽约市的地方卫生部门。
建议包括 6 个主题：加强分析技能、沟通和解释、数据收集和汇总、社区参与、基础设施和能力建设以及领导力和创新。具体项目正在进行或已经完成。
要改善数据公平性，需要改变数据流程，致力于种族和交叉正义，并在组织的各个层面以及跨职务进行流程变革。我们制定了一个协作模式，说明地方卫生部门如何改革数据工作，以嵌入公平视角。该框架为其他司法管辖区提供了一个基础，以促进公平的健康结果，并成为反种族主义组织。
