性和生殖健康的数字和数据能力:对劳动力转型的参与式跨学科方法
Samantha Mannix1, Kath Albury2
1Department of Media and Communication/ARC Centre of Excellence for Automated Decision-Making and Society, Swinburne University of Technology, John Street, Hawthorn, VIC, 3122, Australia.
BMC health services research
|January 8, 2026
概括
性与生殖健康 (DDCSRH) 新的数字和数据能力模型解决了数字化转型中的劳动力需求. 这些资源旨在改善数字包容性,并支持性和生殖健康服务的从业人员.
科学领域:
- 公共卫生 公共卫生
- 数字健康数字健康
- 医疗信息学 医疗信息学
背景情况:
- 性和生殖健康 (SRH) 的数字化转型带来了独特的挑战,可能会使边缘化消费者被排除在外.
- 对从事数字服务的SRH从业人员缺乏实际指导.
研究的目的:
- 引入性与生殖健康 (DDCSRH) 数字和数据能力模型和知识翻译网站.
- 支持SRH在数字和数据实践中的员工能力建设.
主要方法:
- 跨学科的四年参与式研究.
- 包括文献评论,关键信息人采访 (n=25),与从业者 (n=18) 和消费者 (n=32) 的参与性研讨会/采访.
- 与从业人员 (n=34) 进行质量关键构造验证.
主要成果:
- 确定了挑战:数字接入,技能差距",数字原生"假设和治理问题.
- 开发了DDCSRH模型和资源,以建立基于证据的能力,解决从业者的担忧.
- 强调需要为模型实施提供系统支持,并为特定学科量身定制资源.
结论:
- DDCSRH模型和资源满足数字和数据参与的员工需求.
- 促进在SRH中导航数字技术,政策和实践的共享框架.
- 促进与当前和新兴数字健康进步的战略参与.
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