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中国临床研究:2024,37(8):1274-1277,1283
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基于Bicomb共词聚类的患者报告结局测量信息系统研究热点分析
(1. 中国医学科学院北京协和医院护理部,北京 100730;2. 中国医学科学院北京协和医院基本外科,北京 100730)
Research hotspots analysis of patient reported outcome measurement information system based on bicomb co-word clustering
摘要
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投稿时间:2023-12-16   网络发布日期:2024-08-20
中文摘要: 目的 探索患者报告结局测量信息系统的研究热点趋势。方法 系统检索中国知网和PubMed数据库,采用Bicomb 2.0软件进行数据整理及清洗,提取关键词,并对高频字段进行词频分析,构建共词矩阵。采用SPSS 24.0进行共词聚类分析,归纳探索研究趋势及热点。结果 患者报告结局测量信息系统的热点主题聚类为患者报告结局测量、生活质量、症状及心理学变量评估3类。结论 患者报告结局测量信息系统成为患者健康水平和照护质量领域的热点问题。未来研究趋向于采用基于共识的健康测量工具进行患者报告结局测量信息系统的测量学检验,构建系统性临床解释体系,进而促使其在临床实践中的转化应用。
Abstract:Objective To summarize the research trends and hotspots of patient reported outcome measurement information system (PROMIS). Methods China National Knowledge Infrastructure (CNKI) and PubMed databases were systematically searched, Bicomb 2.0 software was used for data sorting and cleaning, keywords were extracted, word frequency analysis was performed on high-frequency fields, and co-word matrix was constructed. SPSS 24.0 was used for co-word clustering analysis to summarize and explore research trends and hotspots. Results The hot topic clusters of the PROMIS were patient reported outcome measures, quality of life, symptoms and psychological variables assessment. Conclusion PROMIS has become a hot issue in the field of patient health level and care quality. Future studies tend to use consensus-based health measurement tools to conduct the measurement test of PROMIS, build a systematic clinical interpretation system, and then promote its transformation and application in clinical practice.
文章编号:     中图分类号:R47    文献标志码:A
基金项目:中国医学科学院医学与健康科技创新工程项目(2020-I2M-C&T-B-024);中央高水平医院临床科研业务费(2022-PUMCH-A-049)
引用文本:
程悦,张馨月,李敏,等.基于Bicomb共词聚类的患者报告结局测量信息系统研究热点分析[J].中国临床研究,2024,37(8):1274-1277,1283.

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