护理现象的中庸理论:无效的社会支持网络。

IF 1.4 4区 医学 Q3 NURSING International Journal of Nursing Knowledge Pub Date : 2023-11-27 DOI:10.1111/2047-3095.12453
Michelline Santos de França PhDRN, Francisca Márcia Pereira Linhares PhDRN, Ryanne Carolynne Marques Gomes Mendes MCsRN, Marcos Venícios de Oliveira Lopes PhDRN, Cecília Maria Farias de Queiroz Frazão PhDRN, Santana de Maria Alves de Sousa PhDRN, Cleide Maria Pontes PhDRN
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引用次数: 0

摘要

目的:描述一种对护理中无效社会支持网络的因果状况具有概念性和解释性的中程理论(MRT)。数据来源:描述性研究通过Lopes, Silva和Herdman的理论因果效度方法发展,使用五个步骤进行理论构建:定义构建MRT的方法,定义主要概念,开发图形图,构建命题,建立因果关系和实践证据。这些步骤的基础和预测性护理理论的发展是通过Sanicola的社会网络理论与Whittemore和Knafl提出的六个步骤的综合文献综述的研究相结合而产生的。数据综合-发现:该理论提出了无效社会支持网络的病因和临床指标,连接与个人、成员和该网络的配置有关的情况,以及外部情况。象形图,象征性地创建,代表了近端,中间和远端病因的等级分类,以及它们与临床指标的关系。结论:MRT可预测护理现象无效的社会支持网络,它提供了从人际角度对人的理解,它干扰并受到美德与沧桑网络的影响,并对健康结果产生负面影响。由于其实践性,这一理论代表了护理科学和实践的进步。对临床实践的启示:本研究的结果将有助于理解无效社会支持网络的护理现象,从而支持识别无效社会支持网络的护理诊断,并建议纳入NANDA-I分类。
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Middle range theory for the nursing phenomenon Ineffective social support network

Purpose

To describe a middle range theory (MRT) with conceptual and explicative capacity of cause and effect situations of Ineffective social support network in nursing.

Data sources

Descriptive study developed through the Lopes, Silva, and Herdman theoretical-causal validity method, using five steps for theory construction: definition of the approach for constructing the MRT, definition of the main concepts, development of the pictorial diagram, construction of propositions, and establishment of causal relationships and evidence for practice. The foundation of these steps and the development of a predictive nursing theory occurred through Sanicola's Social Network Theory combined with studies from an integrative literature review using the six steps proposed by Whittemore and Knafl.

Data synthesis—findings

The theory presents etiological factors and clinical indicators for Ineffective social support network, connecting situations related to the person, the members and the configuration of this network, and external situations. The pictogram, symbolically created, represents the hierarchical classification of proximal, intermediate, and distal etiological factors, and their relationship with clinical indicators.

Conclusions

The MRT, predictive for the nursing phenomenon Ineffective social support network, provides understanding of the person from an interpersonal perspective, which interferes with and is affected by a network of virtues and vicissitudes, and has negative influences on health outcomes. Due to its practical vocation, this theory represents an advance in the science and praxis of nursing.

Implications for clinical practice

The findings of this study will contribute to the understanding of the nursing phenomenon Ineffective social support network and consequently support the identification of the nursing diagnosis Ineffective social support network, proposed for inclusion in the NANDA-I classification.

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来源期刊
CiteScore
2.90
自引率
14.30%
发文量
47
审稿时长
>12 weeks
期刊介绍: The International Journal of Nursing Knowledge, the official journal of NANDA International, is a peer-reviewed publication for key professionals committed to discovering, understanding and disseminating nursing knowledge. The Journal aims to clarify the knowledge base of nursing and improve patient safety by developing and disseminating nursing diagnoses and standardized nursing languages, and promoting their clinical use. It seeks to encourage education in clinical reasoning, diagnosis, and assessment and ensure global consistency in conceptual languages. The International Journal of Nursing Knowledge is an essential information resource for healthcare professionals concerned with developing nursing knowledge and /or clinical applications of standardized nursing languages in nursing research, education, practice, and policy. The Journal accepts papers which contribute significantly to international nursing knowledge, including concept analyses, original and applied research, review articles and international and historical perspectives, and welcomes articles discussing clinical challenges and guidelines, education initiatives, and policy initiatives.
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