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Exploring the Knowledge Structure of Patient Safety in Nursing Using a Keyword Network Analysis

Patient safety is a critical and long-standing issue in nursing research. The purposes of this study were to explore the knowledge structure of patient safety and to provide a direction for future research by offering new perspectives and a theoretical clarification of patient safety in nursing. Key...

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Detalles Bibliográficos
Autores principales: Kim, Eun Jung, Seomun, GyeongAe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9907707/
https://www.ncbi.nlm.nih.gov/pubmed/35293361
http://dx.doi.org/10.1097/CIN.0000000000000882
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author Kim, Eun Jung
Seomun, GyeongAe
author_facet Kim, Eun Jung
Seomun, GyeongAe
author_sort Kim, Eun Jung
collection PubMed
description Patient safety is a critical and long-standing issue in nursing research. The purposes of this study were to explore the knowledge structure of patient safety and to provide a direction for future research by offering new perspectives and a theoretical clarification of patient safety in nursing. Keyword network analysis was performed by extracting keywords from abstracts of 6072 published articles. To reflect nursing perspectives, focus group interviews were conducted and Kim's typology consisting of four domains was used as the framework of analysis. Visualized knowledge structure showed avoiding medication error and preventing pressure ulcers or falls remain important topics within this research field. The distribution of core keywords as per four domains was in the following order: practice, client, environment, and client-nurse domain. Within the client domain, patients' harm-related core keywords were limited to physical harm. The detailed knowledge structure consisted of five themes: patient, preventable patient harm, practice, error, and environment. It comprised risk assessment for patients' characteristics and environmental elements surrounding patient and nursing practice, and risk management using information as knowledge-based nursing practice. Regarding further research, we suggest a multidimensional approach to patient harm, and the utilization of the client-nurse relationship and information systems as strategies for patient safety.
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spelling pubmed-99077072023-02-14 Exploring the Knowledge Structure of Patient Safety in Nursing Using a Keyword Network Analysis Kim, Eun Jung Seomun, GyeongAe Comput Inform Nurs Features Patient safety is a critical and long-standing issue in nursing research. The purposes of this study were to explore the knowledge structure of patient safety and to provide a direction for future research by offering new perspectives and a theoretical clarification of patient safety in nursing. Keyword network analysis was performed by extracting keywords from abstracts of 6072 published articles. To reflect nursing perspectives, focus group interviews were conducted and Kim's typology consisting of four domains was used as the framework of analysis. Visualized knowledge structure showed avoiding medication error and preventing pressure ulcers or falls remain important topics within this research field. The distribution of core keywords as per four domains was in the following order: practice, client, environment, and client-nurse domain. Within the client domain, patients' harm-related core keywords were limited to physical harm. The detailed knowledge structure consisted of five themes: patient, preventable patient harm, practice, error, and environment. It comprised risk assessment for patients' characteristics and environmental elements surrounding patient and nursing practice, and risk management using information as knowledge-based nursing practice. Regarding further research, we suggest a multidimensional approach to patient harm, and the utilization of the client-nurse relationship and information systems as strategies for patient safety. Lippincott Williams & Wilkins 2022-03-16 /pmc/articles/PMC9907707/ /pubmed/35293361 http://dx.doi.org/10.1097/CIN.0000000000000882 Text en Copyright © 2022 The Authors. Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) , where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal.
spellingShingle Features
Kim, Eun Jung
Seomun, GyeongAe
Exploring the Knowledge Structure of Patient Safety in Nursing Using a Keyword Network Analysis
title Exploring the Knowledge Structure of Patient Safety in Nursing Using a Keyword Network Analysis
title_full Exploring the Knowledge Structure of Patient Safety in Nursing Using a Keyword Network Analysis
title_fullStr Exploring the Knowledge Structure of Patient Safety in Nursing Using a Keyword Network Analysis
title_full_unstemmed Exploring the Knowledge Structure of Patient Safety in Nursing Using a Keyword Network Analysis
title_short Exploring the Knowledge Structure of Patient Safety in Nursing Using a Keyword Network Analysis
title_sort exploring the knowledge structure of patient safety in nursing using a keyword network analysis
topic Features
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9907707/
https://www.ncbi.nlm.nih.gov/pubmed/35293361
http://dx.doi.org/10.1097/CIN.0000000000000882
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