相关实验视频
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Assessment of Social Interaction Behaviors
Published on: February 25, 2011
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加入我们:来自安大略省社会工作和社会服务工作法规中的公平和包容性数据倡议的发展和见解
Uppala Chandrasekera1,2, Sarah Choudhury1
1Ontario College of Social Workers and Social Service Workers, Toronto, Ontario, Canada.
Healthcare management forum
|October 28, 2025
概括
安大略省社会工作者和社会服务工作者学院启动了公平和包容性数据倡议,以监测系统性种族主义. 这种自愿的人口统计数据收集旨在提高对社会工作职业中的歧视的理解和解决问题.
科学领域:
- 社会工作法规 社会工作法规
- 公共卫生政策 公共卫生政策
- 多样性和包容性研究 研究多样性和包容性研究
背景情况:
- 在安大略省的社会工作和社会服务专业中,系统性种族主义和歧视仍然存在.
- 有效的监测和改进需要可测量的数据.
- 安大略省社会工作者和社会服务工作者学院 (OCSWSSW) 启动了一项数据项目,以解决这些问题.
研究的目的:
- 开发和实施一个以公平,包容和反种族主义为重点的数据倡议.
- 识别和监测社会工作和社会服务专业中的系统性种族主义和歧视.
- 建立数据驱动的监管实践改进的基础.
主要方法:
- 从OCSWSSW注册人那里自愿收集人口统计信息.
- 数据收集集成到2024年注册更新流程中.
- 与注册人,客户,政府和工作人员进行持续的接触,以进行大规模的变化管理计划.
主要成果:
- 在数据收集的第一年实现了66.5%的响应率.
- 证明了自愿人口统计数据收集系统的成功实施.
- 建立了持续监测和改进的持续倡议.
结论:
- 公平与包容性数据倡议是理解和打击系统性歧视的关键一步.
- 人口统计数据收集是促进职业监管中的公平,多样性,包容性和反种族主义的创新策略.
- 这个项目可以作为其他省级监管机构的典范,特别是在医疗保健领域.
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