Research Trend on Diabetes Mobile Applications: Text Network Analysis and Topic Modeling

Park, Seungmi; Kwak, Eunju; Kim, Youngji

doi:10.7586/jkbns.2021.23.3.170

Cited by 6 publications

(1 citation statement)

References 28 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…현대사회에서 나타나는 높은 정신장애 유병률 과 함께 중요성이 더해지고 있는 정신간호는 정신과 치료의 변 화 및 약물 개발과 함께 진화해왔을 뿐만 아니라 학문의 발전과 활발한 연구를 바탕으로 실무 영역이 확장되고 전문성이 신장 하였다 [5]. [10,11], 다양한 학술지의 연구동향 분석을 위해서도 적용되었다 [12,13]. 텍스트 네트워크 분석은 문서에 서 키워드를 추출하고, 추출된 키워드 간의 관계를 네트워크로 구성하여 계량적인 특성을 분석하는 연구방법으로, 키워드 간 상징적인 연결구조 확인 및 의미론적 해석을 가능하게 한다 [14].…”

unclassified

An analysis of Research Published in the Journal of Korean Academy of Psychiatric and Mental Health Nursing from 2013 to 2022 using Text Network Analysis and Topic Modeling

Kim¹,

Han²

2023

J Korean Acad Psychiatr Ment Health Nurs

View full text Add to dashboard Cite

Purpose: This study aimed to examine research published in the <i>Journal of Korean Academy of Psychiatric and Mental Health Nursing</i> (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.

show abstract

unclassified

An analysis of Research Published in the Journal of Korean Academy of Psychiatric and Mental Health Nursing from 2013 to 2022 using Text Network Analysis and Topic Modeling

Kim¹,

Han²

2023

J Korean Acad Psychiatr Ment Health Nurs

View full text Add to dashboard Cite

show abstract

Do levels of self-efficacy affect urinary incontinence, falls, quality of life, sleep, and physical activity in elderly people with urinary incontinence?

Seçer

Tosun

2022

Ir J Med Sci

View full text Add to dashboard Cite

National and International Trends in Research on Moral Distress in Nursing: Text-network Analysis and Topic Modeling

Park¹

2023

Korean J Med Ethics

View full text Add to dashboard Cite

This article reports on a study that examined thematic trends in published research, in Korea and abroad, on moral distress in nursing. After extracting English abstracts from 38 domestic and 159 foreign publications, degree-centrality analysis and topic modeling were performed using the NetMiner 4 program. The common core keywords found in the domestic and international abstracts are “nurse, moral distress, moral sensitivity, intensive care unit, end-of-life care, experience, burnout, and care.” The core keywords in the domestic abstracts are “education program, person-centered care, job satisfaction, empowerment, hospital, long-term care facility, nursing practice environment, nursing student, turnover intention, clinical nursing practice, and emergency.” The core keywords in the international abstracts are “patient, family, healthcare provider, palliative care, decision-making, ethical issue, child, dementia patient, management, person, life, and staff.” Topic modeling found three topics that are common to both domestic and international abstracts and two topics that differ. This study suggests that although there are common core subject areas in both domestic and international research, some subject areas are studied more actively abroad and require the attention of domestic researchers.

show abstract

Research Trend on Diabetes Mobile Applications: Text Network Analysis and Topic Modeling

Cited by 6 publications

References 28 publications

An analysis of Research Published in the Journal of Korean Academy of Psychiatric and Mental Health Nursing from 2013 to 2022 using Text Network Analysis and Topic Modeling

An analysis of Research Published in the Journal of Korean Academy of Psychiatric and Mental Health Nursing from 2013 to 2022 using Text Network Analysis and Topic Modeling

Do levels of self-efficacy affect urinary incontinence, falls, quality of life, sleep, and physical activity in elderly people with urinary incontinence?

National and International Trends in Research on Moral Distress in Nursing: Text-network Analysis and Topic Modeling

Contact Info

Product

Resources

About