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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

94
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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関連する実験動画

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

Published on: February 19, 2021

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精神科看護における複雑な介入のためのデジタルサポート:実施モデルと効果評価

Erman Yıldız1, Pınar Harmancı2

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

Issues in mental health nursing
|August 25, 2025
PubMed
まとめ
この要約は機械生成です。

デジタル技術,特にモバイルヘルス (m-Health) アプリケーションは精神科看護において不可欠です. 医療従事者のデジタルスキルを向上させ 効果的な介入策を策定することは 患者のケアを改善するために不可欠です

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Development of a Virtual Reality Assessment of Everyday Living Skills
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関連する実験動画

Last Updated: Sep 10, 2025

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06:05

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科学分野:

  • 介護
  • 精神科
  • デジタル・ヘルス

背景:

  • デジタル技術は精神科看護の実践にますます統合されています.
  • 実施と有効性の全面的な理解は限られている.
  • この研究は,この分野の研究の構造的な概要の必要性に対処しています.

研究 の 目的:

  • 精神科看護におけるデジタル支援介入の文献分析を実施する.
  • 研究の動向,モデル,有効性,将来の方向性を探求する.
  • 研究のギャップを特定し,将来の調査のためのロードマップを提供します.

主な方法:

  • ウェブ・オブ・サイエンス・コア・コレクション (2019-2024) の体系的な文献検索
  • テーマ分析と組み合わせた 図書館図鑑のマッピング
  • 主要な研究クラスターとテーマを特定する.

主要な成果:

  • 4つの主要なテーマクラスターが特定されました. デジタル精神科/m-ヘルス,看護教育におけるシミュレーション/VR,COVID-19時のテレメディシン/メンタルヘルス,基礎概念です.
  • m-Health アプリケーションが中心のテーマとなった.
  • 遠隔医療は,COVID-19のパンデミック中に重要な役割を果たしました.

結論:

  • デジタル技術,特にm-healthは精神科の看護において極めて重要です.
  • 医療従事者のデジタルスキルを向上させ 医療従事者が主導する 効果的なデジタル介入策を開発する必要がある
  • 臨床的に有意義な結果,費用対効果,移転性,患者/提供者の経験に関するさらなる研究が必要である.