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运用文本挖掘分析社区护理研究趋势

Analyzing Community Care Research Trends Using Text Mining.

作者信息

Park Yoonseo, Park Sewon, Lee Munjea

机构信息

Department of Bio Medial Engineering, Ajou University, Suwon, Republic of Korea.

Department of Medical Humanities and Social Medicine, Ajou University School of Medicine, Suwon, Republic of Korea.

出版信息

J Multidiscip Healthc. 2022 Jul 15;15:1493-1510. doi: 10.2147/JMDH.S366726. eCollection 2022.

DOI:10.2147/JMDH.S366726
PMID:35873091
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9297196/
Abstract

PURPOSE

This study utilized text mining to analyze research trends around community care, which focuses on improving patients' quality of life by lessening the financial burden on caregivers and relieving patient discomfort.

METHODS

To examine research trends by community care stage, Section 1 is set from 2017 to 2019, when the community care was implemented, and Section 2 from 2020 to 2021, after the end of the community care. Papers used for the analysis were extracted using the Korea Citation Index (KCI); a total of 132 articles were selected and subjected to text mining analysis.

RESULTS

First, the main community care research areas included work, housing, economy, disability, and mind. Second, from 2017 to 2019, there was considerable interest in community care centered on households, and main keywords, such as nursing, family, and experience, appeared. Third, from 2020 to the present, there was high interest in community care centered on disabilities, and keywords, such as space, business, and Seoul City, appeared.

CONCLUSION

The results reveal the changing issues, with the implementation of community care. Overall, research has tended to focus on social and welfare systems, rather than health and medical systems. In the future, local, community-integrated health and medical care systems should be restructured and regional delivery systems established to make them more accessible.

摘要

目的

本研究利用文本挖掘技术分析社区护理的研究趋势，社区护理旨在通过减轻护理人员的经济负担和缓解患者不适来提高患者的生活质量。

方法

为按社区护理阶段研究趋势，第1部分设定为2017年至2019年，即社区护理实施期间，第2部分为2020年至2021年，即社区护理结束后。用于分析的论文通过韩国引文索引（KCI）提取；共选出132篇文章并进行文本挖掘分析。

结果

第一，社区护理的主要研究领域包括工作、住房、经济、残疾和心理。第二，2017年至2019年，对以家庭为中心的社区护理兴趣浓厚，出现了护理、家庭和体验等主要关键词。第三，2020年至今，对以残疾为中心的社区护理兴趣浓厚，出现了空间、商业和首尔市等关键词。

结论

结果揭示了随着社区护理的实施而不断变化的问题。总体而言，研究倾向于关注社会和福利系统，而非健康和医疗系统。未来，应重组地方社区综合健康和医疗护理系统，并建立区域服务提供系统，使其更易获得。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab62/9297196/3952d6b724df/JMDH-15-1493-g0009.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab62/9297196/3952d6b724df/JMDH-15-1493-g0009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab62/9297196/f1ef79d46a63/JMDH-15-1493-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab62/9297196/0a2ea47848db/JMDH-15-1493-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab62/9297196/76dbc9ed3740/JMDH-15-1493-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab62/9297196/8272e560fabb/JMDH-15-1493-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab62/9297196/70733c4c925a/JMDH-15-1493-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab62/9297196/21fdd1f1f269/JMDH-15-1493-g0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab62/9297196/0b7677501720/JMDH-15-1493-g0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab62/9297196/ddc5465d7210/JMDH-15-1493-g0008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab62/9297196/3952d6b724df/JMDH-15-1493-g0009.jpg

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