Analysis of Research Trends on Nursing-Sensitive Outcomes Using Text Mining and Topic Modeling.

The analysis highlighted that key terms, such as quality, skill mix, and decision support, were most central and frequently used, linking nursing- sensitive outcomes to nurse staffing, care quality, and clinical decision support. Topic modeling revealed five core research topics across clinical and...

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Publicado en:Nursing Economic$ Vol. 44; no. 3; pp. 165 - 179
Autor principal: Choi, Heejung
Formato: research tables/charts Journal Article
Publicado: Jannetti Publications, Inc. May/Jun2026
Acceso en línea:Ver este registro en EBSCOhost
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      aug:
        au: Choi, Heejung
        affil: PhD(c), MPH, RN Assistant Professor Department of Nursing Semyung University Jecheon, Chungcheongbuk-do Republic of Korea
      sug:
        subj:
          Data Mining
          Research, Medical Trends
          Nursing Outcomes
          Nursing Administration Research
          Outcome Assessment
          Human
          Descriptive Research
          Exploratory Research
          Quantitative Studies
          Social Network Analysis
          Semantics
          PubMed
          CINAHL Database
          Embase
          Cochrane Library
          Secondary Analysis
      ab: The analysis highlighted that key terms, such as quality, skill mix, and decision support, were most central and frequently used, linking nursing- sensitive outcomes to nurse staffing, care quality, and clinical decision support. Topic modeling revealed five core research topics across clinical and community settings.
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      doctype:
        research
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        Journal Article
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    language: English
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