Literature DB >> 31672948

[Identification of Knowledge Structure of Pain Management Nursing Research Applying Text Network Analysis].

Chan Sook Park1, Eun Jun Park2.   

Abstract

PURPOSE: This study aimed to explore and compare the knowledge structure of pain management nursing research, between Korea and other countries, applying a text network analysis.
METHODS: 321 Korean and 6,685 international study abstracts of pain management, published from 2004 to 2017, were collected. Keywords and meaningful morphemes from the abstracts were analyzed and refined, and their co-occurrence matrix was generated. Two networks of 140 and 424 keywords, respectively, of domestic and international studies were analyzed using NetMiner 4.3 software for degree centrality, closeness centrality, betweenness centrality, and eigenvector community analysis.
RESULTS: In both Korean and international studies, the most important, core-keywords were "pain," "patient," "pain management," "registered nurses," "care," "cancer," "need," "analgesia," "assessment," and "surgery." While some keywords like "education," "knowledge," and "patient-controlled analgesia" found to be important in Korean studies; "treatment," "hospice palliative care," and "children" were critical keywords in international studies. Three common sub-topic groups found in Korean and international studies were "pain and accompanying symptoms," "target groups of pain management," and "RNs' performance of pain management." It is only in recent years (2016~17), that keywords such as "performance," "attitude," "depression," and "sleep" have become more important in Korean studies than, while keywords such as "assessment," "intervention," "analgesia," and "chronic pain" have become important in international studies.
CONCLUSION: It is suggested that Korean pain-management researchers should expand their concerns to children and adolescents, the elderly, patients with chronic pain, patients in diverse healthcare settings, and patients' use of opioid analgesia. Moreover, researchers need to approach pain-management with a quality of life perspective rather than a mere focus on individual symptoms.
© 2019 Korean Society of Nursing Science.

Entities:  

Keywords:  Nursing Care; Pain Management; Pain Measurement; Semantics

Mesh:

Year:  2019        PMID: 31672948     DOI: 10.4040/jkan.2019.49.5.538

Source DB:  PubMed          Journal:  J Korean Acad Nurs        ISSN: 2005-3673            Impact factor:   0.984


  3 in total

Review 1.  [Knowledge Structure of Chronic Obstructive Pulmonary Disease Health Information on Health-Related Websites and Patients' Needs in the Literature Using Text Network Analysis].

Authors:  Ja Yun Choi; Su Yeon Lim; So Young Yun
Journal:  J Korean Acad Nurs       Date:  2021-12       Impact factor: 0.984

2.  [Images of Nurses Appeared in Media Reports Before and After Outbreak of COVID-19: Text Network Analysis and Topic Modeling].

Authors:  Min Young Park; Seok Hee Jeong; Hee Sun Kim; Eun Jee Lee
Journal:  J Korean Acad Nurs       Date:  2022-06       Impact factor: 1.277

3.  Trends of Nursing Research on Accidental Falls: A Topic Modeling Analysis.

Authors:  Yeji Seo; Kyunghee Kim; Ji-Su Kim
Journal:  Int J Environ Res Public Health       Date:  2021-04-09       Impact factor: 3.390

  3 in total

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