结构赋权以实现临床研究护士在学术医疗中心的整合:对3个模型进行比较分析
Amanda Brock1, Tara Bresnahan, Catriona Grant
1Author Affiliations: Associate Director of Clinical Research Nursing and Training (Dr Brock), Perelman School of Medicine, Penn Medicine, Philadelphia, Pennsylvania; Nurse Director (Bresnahan), Diabetes Research Center, Massachusetts General Hospital, Boston; Senior Director of Operations (Grant), Tearney Lab, Massachusetts General Hospital, Boston; Director (Bosque), Nursing Research Programs, and Nursing Research Quality Specialist (Dr Forbes), MD Anderson Cancer Center, Houston, Texas; Project Director (Fitch), The Center for Aging and Serious Illness Research Center, Massachusetts General Hospital, Boston; Secretary (Dr Griffith), International Association of Clinical Research Nurses, Mullica Hill, New Jersey; and Assistant Professor of Medicine (Larkin), Diabetes Research Center, Massachusetts General Hospital, Boston.
临床研究护士 (CRN) 对于推动生物医学科学的发展至关重要. 本研究概述了使用结构赋权模型的实际策略,以更好地将CRN专业知识纳入研究和护理环境.
科学领域:
- 护理科学 护理科学
- 临床研究 临床研究
- 医疗保健服务研究 医疗服务研究
背景情况:
- 临床研究护士 (CRN) 是研究团队的重要成员,推动基于证据的护理和生物医学进步.
- 尽管CRN发挥着关键作用,但CRN专业知识的充分整合到医疗保健系统中仍然是一个需要改进的领域.
- 优化CRN集成可以提高研究质量和患者的治疗结果.
研究的目的:
- 描述优化临床研究护士 (CRN) 整合的实际途径.
- 应用结构赋权模型 (SEMs) 来分析和改进CRN在研究和护理生态系统中的角色.
- 为转化基于SEM的整合策略到各种实践环境提供可操作的例子.
主要方法:
- 使用结构赋权模型 (SEMs) 作为分析框架.
- 描述和分析了现有的CRN集成模型.
- 对比不同的整合方法,以确定最佳实践.
主要成果:
- 确定了适用于CRN集成的SEM的关键组件.
- 提供了整合模式的比较分析,突出了优缺点.
- 开发了实用,可翻译的例子来增强CRN角色.
结论:
- 结构赋权模型为优化CRN集成提供了一个强大的框架.
- 战略性整合CRN可以显著提高研究能力和护理实践.
- 提出的路径和示例有助于将SEM原则转化为现实环境.
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