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基于杰弗里斯理论创建模拟场景的模型构建与验证

Construction and validation of a model for creating simulated scenarios based on Jeffries Theory.

作者信息

Vilarinho Jéssica de Oliveira Veloso, Bucco Marcia, Carvalho Ana Elizabeth Lopes de, Silva Nilton Orlando da, Kalinke Luciana Puchalski, Felix Jorge Vinícius Cestari

机构信息

Universidade Federal do Paraná. Curitiba, Paraná, Brazil.

出版信息

Rev Bras Enferm. 2025 Aug 8;78(3):e20240222. doi: 10.1590/0034-7167-2024-0222. eCollection 2025.

DOI:10.1590/0034-7167-2024-0222
PMID:40802438
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12334201/
Abstract

OBJECTIVES

to develop and validate a model for designing clinical simulation scenarios based on Jeffries Theory.

METHODS

qualitative, methodological study based on Pasquali's psychometrics and Jeffries' theory, conducted in three phases: (1) theoretical analysis and model development, including expert interviews (n = 20); (2) semantic analysis; and (3) content validation by specialists. Data were analyzed using IRAMUTEQ software. Content Validity Index (CVI) and Cronbach's alpha were calculated.

RESULTS

a total of 32 professionals participated, mostly nurses with experience in simulation. Theoretical analysis and interviews led to the initial model; semantic analysis refined it; and validation produced the final version. The model showed a 94% CVI and 0.886 Cronbach's alpha, aligning with Jeffries' key categories: Context, Background, Design, Simulated Experience, Facilitator, Educational Strategies, Participant, and Outcomes.

FINAL CONSIDERATIONS

the model was validated, being recommended as a structured and scientifically grounded basis for designing clinical simulation scenarios.

摘要

目的

基于杰弗里斯理论开发并验证一个用于设计临床模拟场景的模型。

方法

基于帕斯夸利的心理测量学和杰弗里斯理论进行定性方法学研究,分三个阶段进行:(1)理论分析与模型开发,包括专家访谈(n = 20);(2)语义分析;(3)专家进行内容验证。使用IRAMUTEQ软件对数据进行分析。计算内容效度指数(CVI)和克朗巴哈系数。

结果

共有32名专业人员参与,其中大多数是有模拟经验的护士。理论分析和访谈得出初始模型;语义分析对其进行完善;验证产生最终版本。该模型的CVI为94%,克朗巴哈系数为0.886,与杰弗里斯的关键类别相符:情境、背景、设计、模拟体验、促进者、教育策略、参与者和结果。

最终考量

该模型经过验证,被推荐作为设计临床模拟场景的结构化且有科学依据的基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7882/12334201/da55ab0571ba/0034-7167-reben-78-03-e20240222-gf04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7882/12334201/b629b9bfd921/0034-7167-reben-78-03-e20240222-gf01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7882/12334201/e340d4c92146/0034-7167-reben-78-03-e20240222-gf02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7882/12334201/10ad2eb7042d/0034-7167-reben-78-03-e20240222-gf03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7882/12334201/da55ab0571ba/0034-7167-reben-78-03-e20240222-gf04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7882/12334201/b629b9bfd921/0034-7167-reben-78-03-e20240222-gf01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7882/12334201/e340d4c92146/0034-7167-reben-78-03-e20240222-gf02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7882/12334201/10ad2eb7042d/0034-7167-reben-78-03-e20240222-gf03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7882/12334201/da55ab0571ba/0034-7167-reben-78-03-e20240222-gf04.jpg

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