数字卫生政策解码:使用Donabedian的模型绘制国家战略
Tahereh Saheb1, Tayebeh Saheb2
1Menlo College, 1000 El Camino Real, Atherton, CA 94027, USA.
Health policy (Amsterdam, Netherlands)
|July 25, 2024
概括
通过混合方法方法分析了国家数字健康战略. 调查结果将政策主题映射到护理质量,为未来的数字健康治理和法规提供信息.
科学领域:
- 数字健康政策 数字健康政策
- 医疗保健质量评估 医疗保健质量评估
- 公共卫生治理公共卫生治理
背景情况:
- 国家战略对于指导数字健康倡议至关重要.
- 政府越来越多地负责数字健康政策的制定.
- 了解数字健康战略的组成部分对于有效实施至关重要.
研究的目的:
- 综合审查国家数字健康战略.
- 将Donabedian的结构-过程-结果模型应用于数字健康政策分析.
- 在数字健康战略中识别普遍的主题及其相互关系.
主要方法:
- 采用了一种新的混合方法方法.
- 整合主题建模,并发分析和定性内容分析.
- 使用Donabedian框架对22个国家数字健康战略进行分析.
主要成果:
- 确定了14个普遍的主题,并将其分类为结构,过程和结果维度.
- 结构主题包括劳动力培训,治理,基础设施,伙伴关系和法规.
- 过程主题包括人工智能,决策支持,健康记录,监视和互操作性;结果与健康改善,隐私,效率,覆盖率和可持续发展目标有关.
结论:
- 该研究为数字卫生政策主题提供了一个独特的映射,将其映射到护理质量模型上.
- 它揭示了未得到充分解决的政策领域,并突出了战略组成部分之间的相互联系.
- 调查结果为未来的数字健康战略,研究和政府政策考虑提供了信息.
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