Analysis of dementia research trends in nursing using text mining approach

Atay, Eda; Bahadır Yılmaz, Emel; Atay, Metehan

doi:10.1111/psyg.13097

Cited by 2 publications

(1 citation statement)

References 32 publications

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“…Currently, the literature study on the use of data mining in nursing frequently concentrates on a single type of data mining technique, 16 or a limited part of the area. 17 More relevant research is an integrated literature review on the application of data mining in nursing quality management.…”

Section: Introductionmentioning

confidence: 99%

Bibliometric Analysis of Development Trends and Research Hotspots in the Study of Data Mining in Nursing Based on CiteSpace

Zhang,

Ge,

Xia

et al. 2024

JMDH

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Backgrounds With the advent of the big data era, hospital information systems and mobile care systems, among others, generate massive amounts of medical data. Data mining, as a powerful information processing technology, can discover non-obvious information by processing large-scale data and analyzing them in multiple dimensions. How to find the effective information hidden in the database and apply it to nursing clinical practice has received more and more attention from nursing researchers. Aim To look over the articles on data mining in nursing, compiled research status, identified hotspots, highlighted research trends, and offer recommendations for how data mining technology might be used in the nursing area going forward. Methods Data mining in nursing publications published between 2002 and 2023 were taken from the Web of Science Core Collection. CiteSpace was utilized for reviewing the number of articles, countries/regions, institutions, journals, authors, and keywords. Results According to the findings, the pace of data mining in nursing progress is not encouraging. Nursing data mining research is dominated by the United States and China. However, no consistent core group of writers or organizations has emerged in the field of nursing data mining. Studies on data mining in nursing have been increasingly gradually conducted in the 21st century, but the overall number is not large. Institution of Columbia University, journal of Cin-computers Informatics Nursing , author Diana J Wilkie, Muhammad Kamran Lodhi, Yingwei Yao are most influential in nursing data mining research. Nursing data mining researchers are currently focusing on electronic health records, text mining, machine learning, and natural language processing. Future research themes in data mining in nursing most include nursing informatics and clinical care quality enhancement. Conclusion Research data shows that data mining gives more perspectives for the growth of the nursing discipline and encourages the discipline’s development, but it also introduces a slew of new issues that need researchers to address.

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Section: Introductionmentioning

confidence: 99%

Bibliometric Analysis of Development Trends and Research Hotspots in the Study of Data Mining in Nursing Based on CiteSpace

Zhang,

Ge,

Xia

et al. 2024

JMDH

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Workload-Related Issues among Nurses Caring for Patients with Behavioral and Psychological Symptoms of Dementia: A Scoping Review

Kang,

Bang

2024

Healthcare

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Background/Objectives: As the elderly population grows, the prevalence of dementia is rising, with 70–95% of patients in hospital settings exhibiting problematic behaviors such as aggression. These behaviors significantly contribute to increased nursing workloads, affecting nurses’ well-being and patient care quality. This study aims to review workload-related issues among nurses caring for dementia patients, highlighting the need for targeted interventions to mitigate stress and improve care quality. Methods: A scoping review was conducted using the five-stage framework of Arksey and O’Malley. The literature search covered studies published between 2013 and 2023, focusing on quantitative research about nurses’ workload-related stress when managing patients with dementia and problematic behaviors. Databases such as PubMed and PsycINFO were searched, and 13 studies were selected based on predefined inclusion and exclusion criteria. Results: The review revealed that problematic behaviors, particularly aggression, significantly increase nurses’ stress and workload. This stress has negative consequences on nurses’ physical and mental health, often leading to burnout, decreased job satisfaction, and a decline in care quality. Inadequate staffing and support systems exacerbate these issues. Conclusions: Targeted education, sufficient staffing, and support are essential to reduce the workload and stress experienced by nurses caring for dementia patients. Implementing these strategies can enhance the quality of care provided and improve the well-being of healthcare professionals.

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Analysis of dementia research trends in nursing using text mining approach

Cited by 2 publications

References 32 publications

Bibliometric Analysis of Development Trends and Research Hotspots in the Study of Data Mining in Nursing Based on CiteSpace

Bibliometric Analysis of Development Trends and Research Hotspots in the Study of Data Mining in Nursing Based on CiteSpace

Workload-Related Issues among Nurses Caring for Patients with Behavioral and Psychological Symptoms of Dementia: A Scoping Review

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