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残疾的社区融合:文献计量与知识图谱分析

Community Integration of Disability: A Bibliometric and Knowledge-Map Analysis.

作者信息

Wang Shuaiyou, Li Dingding, Liu Chenjun, Sun Xueting, Shi Yage, Wang Hongru, Zhang Huimin

机构信息

School of Nursing, Xinxiang Medical University, Xinxiang, Henan, People's Republic of China.

Nursing of Department, Xinxiang First People's Hospital, Xinxiang, Henan, People's Republic of China.

出版信息

J Multidiscip Healthc. 2025 Jan 22;18:339-353. doi: 10.2147/JMDH.S494130. eCollection 2025.

DOI:10.2147/JMDH.S494130
PMID:39872871
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11769851/
Abstract

BACKGROUND

Community integration (CI) is the ultimate goal of rehabilitation for individuals with disabilities. It plays a significant role in restoring their social functioning and facilitating their reintegration into community and family life. However, no studies have utilized bibliometric methods to explore community integration.

OBJECTIVE

To conduct a review about community integration of disabilities and to clarify the knowledge, hotspots, and trends through the bibliometric method.

METHODS

Studies on community integration from 1990 to 2023 were retrieved from the Web of Science Core Collection (WOSCC). CiteSpace 6.2.R4 and Microsoft Office Excel 2019 were applied. The CiteSpace node types involved in this study include keyword, reference, cited author, cited Journal, and the dual-map overlay of journals. CiteSpace presented the keyword cluster map, keywords timeline view map, keywords bursts map, and overlay map of journals. Microsoft Office Excel 2019 was used to present the trend of annual publications and draw up related tables and figures.

RESULTS

A total of 2239 hits were included. The number of publications related to community integration is increasing gradually. The three most frequent keywords is Brain Injury (571, 13%), Individuals (488, 11%), Quality of Life (434, 10%). Keyword cluster map and timeline map with eight clusters were obtained, and the current strongest citation burst keywords are social participation, substance use, experiences, interventions, and Afghanistan. Willer is the author with the most citations. McColl has the largest centrality in the first ten cited authors. The most cited reference is published by the World Health Organization (WHO). is the journal with the highest co-citation frequency. The overlay map of journals presented four distinct paths: the journals in "psychology education, health" and "neurology, sports, ophthalmology" often cite journals in "health, nursing, medicine" and "psychology, education, social".

CONCLUSION

Community integration for individuals with disabilities is gradually becoming a hot topic. Research on community integration related to traumatic brain injury (TBI), stroke, children, and spinal cord injuries is current focus of community integration. Future research should explore the experiences and feelings of different groups of disabilities regarding community integration and develop more effective interventions for their community integration. Community integration is complex, and future research on community integration for individuals with disabilities needs to be explored more specifically.

摘要

背景

社区融合是残疾人士康复的最终目标。它在恢复其社会功能以及促进他们重新融入社区和家庭生活方面发挥着重要作用。然而,尚无研究运用文献计量学方法来探索社区融合。

目的

对残疾人士的社区融合进行综述,并通过文献计量学方法阐明相关知识、热点和趋势。

方法

从科学引文索引核心合集(WOSCC)中检索1990年至2023年关于社区融合的研究。应用CiteSpace 6.2.R4和Microsoft Office Excel 2019。本研究涉及的CiteSpace节点类型包括关键词、参考文献、被引作者、被引期刊以及期刊的双图叠加。CiteSpace呈现了关键词聚类图、关键词时间线视图图、关键词突现图和期刊叠加图。Microsoft Office Excel 2019用于呈现年度出版物趋势并绘制相关表格和图表。

结果

共纳入2239条记录。与社区融合相关的出版物数量在逐渐增加。出现频率最高的三个关键词是脑损伤(571,占13%)、个体(488,占11%)、生活质量(434,占10%)。获得了包含八个聚类的关键词聚类图和时间线图,当前最强的引文突现关键词是社会参与、物质使用、经历、干预措施和阿富汗。威勒是被引次数最多的作者。在前十位被引作者中,麦科尔的中心性最高。被引次数最多的参考文献由世界卫生组织(WHO)发表。 是共被引频率最高的期刊。期刊叠加图呈现出四条不同的路径:“心理学教育、健康”和“神经学、运动、眼科学”领域的期刊经常引用“健康、护理、医学”和“心理学、教育、社会”领域的期刊。

结论

残疾人士的社区融合正逐渐成为一个热门话题。与创伤性脑损伤(TBI)、中风、儿童和脊髓损伤相关的社区融合研究是当前社区融合的重点。未来的研究应探索不同残疾群体在社区融合方面的经历和感受,并为他们的社区融合制定更有效的干预措施。社区融合是复杂的,未来针对残疾人士社区融合的研究需要更具体地进行探索。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87eb/11769851/8fb7980b6c3f/JMDH-18-339-g0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87eb/11769851/892caefb6727/JMDH-18-339-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87eb/11769851/d3232f582a80/JMDH-18-339-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87eb/11769851/9cfe6d02d2c4/JMDH-18-339-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87eb/11769851/eb7c53062248/JMDH-18-339-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87eb/11769851/69c6e470b87e/JMDH-18-339-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87eb/11769851/8fb7980b6c3f/JMDH-18-339-g0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87eb/11769851/892caefb6727/JMDH-18-339-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87eb/11769851/d3232f582a80/JMDH-18-339-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87eb/11769851/9cfe6d02d2c4/JMDH-18-339-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87eb/11769851/eb7c53062248/JMDH-18-339-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87eb/11769851/69c6e470b87e/JMDH-18-339-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87eb/11769851/8fb7980b6c3f/JMDH-18-339-g0006.jpg

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