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相关概念视频

Nursing Implementation01:15

Nursing Implementation

5.3K
Implementation is the execution of the nursing care plan developed during the planning phase.
The five steps to implementing effective nursing care include reassessing the patient, reviewing and revising the existing nursing care plan, organizing the resources and care delivery, anticipating and preventing complications, and implementing nursing interventions.
5.3K
Nursing Interventions II: Selecting and Classifying the Nursing Interventions01:29

Nursing Interventions II: Selecting and Classifying the Nursing Interventions

2.4K
Creating and executing a nursing diagnosis helps nurses plan care and guide patient, family, and community interventions. They are developed based on a patient's physical evaluation and support measuring the outcomes. It is not recommended to select random interventions throughout the planning process. Instead, consider the following six essential factors when choosing interventions:
2.4K
Nursing Evaluation01:15

Nursing Evaluation

3.5K
The evaluation stage signals the end of the nursing process. The nurse gathers evaluative data to assess whether or not the patient has attained the expected results. Whereas the nurse collects data in the nursing assessment to identify the patient's health concerns, the evaluation stage data determines if the indicated health issues are resolved. Evaluative data collection includes two sections: the data acquired to evaluate patient outcomes and the time criteria for data collection.
3.5K
Community Based Intervention01:30

Community Based Intervention

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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.
Foundations of Community Mental Health Programs
Central to the success of community-based interventions is the...
94
Modeling in Therapy01:26

Modeling in Therapy

145
Modeling, a key technique in therapy, uses observational learning to help clients acquire and practice new skills by watching therapists demonstrate desired behaviors. This approach, rooted in Albert Bandura's concept of vicarious learning, plays a significant role in therapeutic interventions for various psychological conditions, including social anxiety, ADHD, and depression.
Participant Modeling
Participant modeling involves therapists demonstrating calm and effective behaviors in...
145
Methods of Documentation VI: Case Management Model01:15

Methods of Documentation VI: Case Management Model

628
The case management model is a multidisciplinary approach that involves healthcare professionals from diverse disciplines, such as physicians, nurses, therapists, social workers, and pharmacists, working collaboratively to address the various needs of patients. Each healthcare professional brings unique expertise and perspectives, contributing to a more comprehensive understanding of the patient's condition and tailoring treatment plans accordingly.
For example, a patient with a chronic...
628

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相关实验视频

Updated: Sep 10, 2025

The Participant-Reported Implementation Update and Score PRIUS: A Novel Method for Capturing Implementation-Related Data Over Time
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The Participant-Reported Implementation Update and Score PRIUS: A Novel Method for Capturing Implementation-Related Data Over Time

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心理护理复杂干预的数字支持:实施模式和有效性评估

Erman Yıldız1, Pınar Harmancı2

  • 1Department of Psychiatric Nursing, Faculty of Nursing, İnönü University, Malatya, Türkiye.

Issues in mental health nursing
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概括
此摘要是机器生成的。

数字技术,特别是移动健康 (m-Health) 应用,对于精神病护理至关重要. 提高护士的数字技能和开发有效的干预措施对于改善患者护理至关重要.

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Development of a Virtual Reality Assessment of Everyday Living Skills
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Development of a Virtual Reality Assessment of Everyday Living Skills

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The Participant-Reported Implementation Update and Score PRIUS: A Novel Method for Capturing Implementation-Related Data Over Time
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Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
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科学领域:

  • 护理工作
  • 精神病学
  • 数字健康

背景情况:

  • 数字技术越来越多地融入精神护理实践中.
  • 对它们的实施和有效性的全面了解是有限的.
  • 本研究探讨了这一领域的结构化研究概述的必要性.

研究的目的:

  • 进行心理护理中数字支持干预的文献分析.
  • 探索研究趋势,模型,有效性和未来方向.
  • 确定研究缺口,并为未来的调查提供路线图.

主要方法:

  • 网络科学核心集合 (2019-2024) 的系统文献搜索.
  • 与主题分析相结合的图书法测绘.
  • 确定主要的研究集群和主题.

主要成果:

  • 确定了四个主要主题集群:数字精神病学/m-Health,护理教育中的模拟/VR,COVID-19期间的远程医疗/心理健康和基础概念.
  • 移动健康应用成为一个核心主题.
  • 在COVID-19疫情期间,远程医疗发挥了重要作用.

结论:

  • 数字技术,尤其是m-health, 在精神病护理中至关重要.
  • 需要提高护士的数字技能,并制定护士主导的有效数字干预措施.
  • 在临床上有意义的结果,成本效益,可转移性和患者/提供者经验方面需要进一步的研究.