Home Health Nursing Information Behavior in a Historic Time of Pandemic: Shifting Taxonomic Facets

IF 0.6 4区 管理学 Q3 INFORMATION SCIENCE & LIBRARY SCIENCE
Edmund J.Y. Pajarillo, Elizabeth Milonas, Sergey Zherebchevsky, Richard P. Smiraglia
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引用次数: 0

Abstract

The COVID-19 pandemic affected information-based applications that became critical tools for survival. Nursing information behavior (NIB) during the pandemic was analyzed through textual data culled from news videos and interviews with frontline homecare nurses in terms of how they practiced home care in the midst of COVID-19. Did the NIB conceptual framework change for nurses during COVID-19? There were shifts in concentrations in the taxonomic facets during the pandemic. The present study aimed to explain the contextual changes in emphasis in the various processes and taxonomic facets in home health nursing, as influenced by the pandemic. Outcomes of the qualitative analysis of video transcripts offer the readers an understanding of how nurses adapted to the pandemic. Co-word analysis of the video transcripts was used to map twenty new terms to the Core Taxonomy-NIB (CT-NIB). The addition to the core taxonomy of an emotive layer combined with pandemic-specific nursing practices suggests certain shifts, cultural and otherwise, in NIB. The significance of this research lies in the “intertwining” of knowledge organization (KO) and NIB—two disciplines creating a synergistic effect to not only describe the effect of the pandemic but also to advance the knowledge base of home health nursing.
大流行历史时期的家庭健康护理信息行为:变化的分类方面
COVID-19大流行影响了信息化应用程序,这些应用程序已成为生存的关键工具。通过从新闻视频中筛选的文本数据和对一线家庭护理护士的采访,分析大流行期间的护理信息行为(NIB),了解她们在COVID-19期间如何实施家庭护理。COVID-19期间护士的NIB概念框架是否发生了变化?在大流行期间,分类学方面的浓度发生了变化。本研究旨在解释受大流行影响,家庭保健护理的各个过程和分类学方面在重点方面的背景变化。视频记录定性分析的结果使读者了解护士如何适应大流行。利用视频文本的共词分析将20个新术语映射到核心分类法- nib (CT-NIB)。情感层的核心分类加上流行病特定护理实践的增加表明,NIB在文化和其他方面发生了某些转变。本研究的意义在于将知识组织(KO)和nib两个学科“交织”在一起,产生协同效应,不仅可以描述大流行的影响,还可以推进家庭健康护理的知识库。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Knowledge Organization
Knowledge Organization INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
1.40
自引率
28.60%
发文量
7
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