Research Trend Analysis of Do-Not-Resuscitate Decision: Based on Text Network Analysis

Miji Kim; Sangmi Noh; Eunjung Ryu; Sangmoon Shin

doi:10.5388/aon.2014.14.4.254

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Kim, Noh, Ryu, and Shin: Research Trend Analysis of Do-Not-Resuscitate Decision: Based on Text Network Analysis

Original Article

Asian Oncology Nursing 2014; 14(4): 254-264.

Published online: 31 December 2014

DOI: https://doi.org/10.5388/aon.2014.14.4.254

Research Trend Analysis of Do-Not-Resuscitate Decision: Based on Text Network Analysis

Miji Kim¹, Sangmi Noh¹, Eunjung Ryu², Sangmoon Shin³

¹Graduate School of Nursing, Chung-Ang University, Seoul, Korea.

²Department of Nursing, Chung-Ang University, Seoul, Korea.

³Graduate School of Information, Yonsei University, Seoul, Korea.

Address reprint requests to: Noh, Sang Mi. Graduate School of Nursing, Chung-Ang University, 84 Heuksuk-ro, Dongjak-gu, Seoul 156-756, Korea. Tel: +82-10-2712-8818, Fax: +82-2-824-7961, SMNOH@cau.ac.kr

Received 16 September 2014 Accepted 24 December 2014

(open-access):

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Purpose

The purpose of this study was to identify a research trend of studies related to the Do-Not-Resuscitate (DNR) decision making process in Korea.

Methods

Assessing through five computerized databases, 889 studies were reviewed and of these 32 were included. An integrative literature review and text network analysis were applied to examine the research. The keywords from each article's abstracts were extracted by using a program, KrKwic.

Results

The number of studies on DNR decision has been increasing, especially since 2011. A descriptive study design (59%) was most commonly used in the research. In relation to factors affecting DNR decision, 97% of the studies stated patient factors and 66% stated family factors. 'Patient', 'DNR', 'decision', 'treatment', 'life', 'family' were the major keywords, and 'patient' and 'care' were dominant keywords that ranked high in coappearance frequency.

Conclusion

Studies related to DNR decision have been increasing, and themes of the studies have also been broader. Further research is required to investigate factors affecting DNR decision in specific populations such as cancer patients, the elderly, patients with end-stage of chronic diseases etc. Moreover, a comparative study is necessary to define differences of research trends related to DNR decision making process between Korea and other countries.

Keywords: Resuscitation Decisions, Patients, Care, Treatment

Figures and Tables

Fig. 1

Flow Diagram for the Research Process

Fig. 2

Word Cloud of DNR Decision: Created by Wordle Software

Fig. 3

Keyword Network Analysis of DNR Decision

Fig. 4

Dendrogram of DNR Decision Keyword Network

Fig. 5

Comparing Degree Centrality of Keyword Network

Appendix

Appendix 1

Analysis of factors related to DNR decision among

^*Written only family name of the first author; Rt= Retrospective study; Ds= Descriptive study; Qu= Qualitative research; Lit= Literature review.

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