최근 10년간 '한국정신간호학회' 학술지의 게재 연구 분석: 텍스트 네트워크 분석 및 토픽 모델링의 활용

Purpose: This study aimed to examine research published in the Journal of Korean Academy of Psychiatric and Mental Health Nursing (JKPMHN) from 2013 to 2022. Methods: Descriptive statistics, text network analysis, and topic modeling were used to analyze 368 articles. Results: The most prevalent rese...

Descripción completa

Detalles Bibliográficos
Publicado en:Journal of Korean Academy of Psychiatric & Mental Health Nursing (JKPMHN) Vol. 32; no. 2; pp. 188 - 203
Autores principales: 김은 조, 한 금 선
Formato: research tables/charts Journal Article
Publicado: Korean Academy of Psychiatric & Mental Health Nursing Jun2023
Acceso en línea:Ver este registro en EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=164852409&site=ehost-live
header:
  @attributes:
    shortDbName: ccm
    uiTerm: 164852409
    longDbName: CINAHL Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    dissinfo:
    jinfo:
      jid:
        12258482
        HC6L
      jtl: Journal of Korean Academy of Psychiatric & Mental Health Nursing (JKPMHN)
      issn: 12258482
      maglogo: N
    pubinfo:
      dt: Jun2023
      vid: 32
      iid: 2
      pid: 93726
      pub: Korean Academy of Psychiatric & Mental Health Nursing
    artinfo:
      ui:
        164852409
        164852409
        164852409
        10.12934/jkpmhn.2023.32.2.188
        164852409
      ppf: 188
      ppct: 15
      formats:
        fmt:
          @attributes:
            type: P
      tig:
        atl: 최근 10년간 '한국정신간호학회' 학술지의 게재 연구 분석: 텍스트 네트워크 분석 및 토픽 모델링의 활용
      aug:
        au:
          김은 조
          한 금 선
        affil: 서울대학교 간호대학 ․ BK21 미래간호인재 양성사업단 대학원생
      sug:
        subj:
          Psychiatric Nursing
          Research, Nursing Trends
          Research, Mental Health
          Serial Publications South Korea
          Bibliometrics
          Human
          South Korea
          Descriptive Statistics
          Study Design
          Cross Sectional Studies
          Qualitative Studies
          Research Subjects
          Psychiatric Patients
          Students, Nursing
          Psychiatric Nurses
          Nursing Practice, Evidence-Based
          Nursing Interventions
          Mental Disorders Nursing
          Nursing Skills
          Life Experiences
          Family
          Occupational Health
          Mental Health
      ab: Purpose: This study aimed to examine research published in the Journal of Korean Academy of Psychiatric and Mental Health Nursing (JKPMHN) from 2013 to 2022. Methods: Descriptive statistics, text network analysis, and topic modeling were used to analyze 368 articles. Results: The most prevalent research designs in the articles published during the past decade were cross-sectional studies (44.6%) and qualitative research (19.2%). The subjects of the included studies were people with mental illnesses (18.7%), nursing students (11.7%), and psychiatric nurses (8.7%). A text network comprised of the keywords from the research abstracts was constructed and presented. The text network analysis identified the main keywords as: "depression", "family", "stress", "intervention", "life", "suicide", "communication", "alcoholics", and "experience". Seven topics were derived through the topic modeling: nursing intervention for mental health problems, nursing research for patients with mental illnesses, the competency of mental health nurses, the meaning derived from life experience, family in mental health, the mental health of nurses, and the mental health of students. Conclusion: This study determined the recent research trends in the JKPMHN. In psychiatric nursing research, efforts should continue to serve as the basis for practice and produce relevant evidence, and research priorities need to be established.
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: Korean
    refInfo:
    holdings:
      @attributes:
        islocal: N