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Community-based interventions in mental health represent a paradigm shift from institution-centered care to treatments embedded within the fabric of local communities. By prioritizing inclusion and leveraging existing societal structures, this approach fosters a supportive environment conducive to addressing mental health challenges while promoting individual dignity and agency.
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Assessment and Evaluation of the High Risk Neonate: The NICU Network Neurobehavioral Scale
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基于课程的结构化发展网络干预的有效性

X Shore1, O Myers1, B Tigges1

  • 1University of New Mexico.

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此摘要是机器生成的。

结构化发展网络干预并没有显著改善学术医学中的大多数教师网络措施. 虽然一些网络多样性指标显示增加,但其他指标则下降,这表明需要战略规划和更长的后续行动.

关键词:
发展网络的发展网络.教师的职业发展教师的职业发展随机对照试验是随机对照试验.

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科学领域:

  • 学术医学 学术医学
  • 教师发展学院发展学院
  • 社交网络分析 社交网络分析

背景情况:

  • 发展网络对于教师在学术医学中的职业进步至关重要.
  • 对于结构化的发育网络干预措施,缺乏随机对照试验 (RCT).

研究的目的:

  • 评估基于课程的结构化发展网络干预对自我报告的教师网络措施的有效性.
  • 使用随机对照试验 (RCT) 设计来评估干预的影响.

主要方法:

  • 一个数字实践社区 (ECHO项目) 模型提供了干预.
  • 社会认知理论为导师发展提供了理论框架.
  • 导师被随机分为三个组:干预,控制 (仅导师发展计划) 和纯控制.

主要成果:

  • 随着时间的推移,大多数网络结果在不同组之间没有显著差异.
  • 干预组和对照组的网络密度和性别多样性在24个月后增加.
  • 干预组的种族/民族多样性和范围在12个月和24个月后下降.

结论:

  • 结构化发展网络干预对大多数学院网络措施的影响有限.
  • 战略网络规划和扩展后续行动可能是必要的,以提高干预的有效性.
  • 需要进一步的研究来优化学术医学院的发展网络干预措施.