使用数据驱动决策的精密职业治疗:为实践创造证据
1Roseann C. Schaaf, PhD, OTR/L, FAOTA, is Professor and Director, Jefferson Autism Center of Excellence, Thomas Jefferson University, Philadelphia, PA; roseann.schaaf@jefferson.edu.
概括
精密职业治疗使用数据驱动决策 (DDDM) 来个性化治疗并改善结果. 这种方法增强了基于证据的实践和知识转化在职业治疗.
科学领域:
- 职业疗法 职业疗法 职业疗法
- 知识 翻译 翻译
- 基于证据的实践.
背景情况:
- 有效的知识翻译对于加强职业治疗的证据基础至关重要.
- 越来越需要以证据为基础,以结果为导向的职业治疗实践.
- 确定传播和将证据纳入实践的策略变得越来越重要.
研究的目的:
- 为了引入精确职业治疗的概念.
- 将数据驱动决策 (DDDM) 呈现为增强职业治疗实践的过程.
- 探索精密职业治疗如何促进知识的转化,并通过实践创造证据.
主要方法:
- 该研究引入了精密职业治疗,一种个性化的方法.
- 它使用数据驱动决策 (DDDM) 进行治疗设计和结果测量.
- 提出了三个案例示例,以说明DDDM精密职业治疗的应用.
主要成果:
- 精密职业治疗提供了个性化的治疗方法,尊重个人的需求和优势.
- 它涉及同时考虑多个信息流以进行定制干预.
- 该方法旨在衡量有意义的,个性化的结果,提高健康和生活质量.
结论:
- 精密职业治疗,以DDDM为指导,可以增强职业治疗实践.
- 这种个性化的方法可以作为实践和研究的指南.
- 精密职业治疗有可能在该领域产生新的证据.
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