How nursing students learn infection control education through undergraduate nursing programs: a phenomenographic research study.

BACKGROUND: Competency in infection control is crucial for implementing nursing best practices to ensure patient safety. However, research is lacking on the infection control education received by nursing students prior to entering clinical settings as nurses. This study aimed to explore how nursing students conceptualize infection control care in undergraduate nursing programs. METHODS: This study employed a qualitative research method using phenomenography. Universities providing undergraduate nursing programs in Korea. Thirty nursing students: 10 students each from the 2nd, 3rd, and 4th years of five undergraduate programs. Data were collected from May 2019 to February 2020 through semi-structured interviews and analyzed using a phenomenographic analysis procedure. RESULTS: Six descriptive categories were derived inductively for nursing students' frames of reference regarding infection control care and six descriptive categories of how nursing students learned about infection control care. The structural framework of the identified categories, about how nursing students learn about infection control care, was presented as an outcome space. CONCLUSIONS: Given that nursing students demonstrate diverse conceptualizations of infection control and are at varying levels of learning, professors and clinical mentors need to develop theoretical education and clinical practice opportunities that consider these differences.

Trends in Nursing Research on Infections: Semantic Network Analysis and Topic Modeling.

BACKGROUND: Many countries around the world are currently threatened by the COVID-19 pandemic, and nurses are facing increasing responsibilities and work demands related to infection control. To establish a developmental strategy for infection control, it is important to analyze, understand, or visualize the accumulated data gathered from research in the field of nursing. METHODS: A total of 4854 articles published between 1978 and 2017 were retrieved from the Web of Science. Abstracts from these articles were extracted, and network analysis was conducted using the semantic network module. RESULTS: 'wound', 'injury', 'breast', "dressing", 'temperature', 'drainage', 'diabetes', 'abscess', and 'cleaning' were identified as the keywords with high values of degree centrality, betweenness centrality, and closeness centrality; hence, they were determined to be influential in the network. The major topics were 'PLWH' (people living with HIV), 'pregnancy', and 'STI' (sexually transmitted infection). CONCLUSIONS: Diverse infection research has been conducted on the topics of blood-borne infections, sexually transmitted infections, respiratory infections, urinary tract infections, and bacterial infections. STIs (including HIV), pregnancy, and bacterial infections have been the focus of particularly intense research by nursing researchers. More research on viral infections, urinary tract infections, immune topic, and hospital-acquired infections will be needed.

[Factors associated with lower urinary tract symptoms for patients with Parkinson's disease].

PURPOSE: The study was done to identify lower urinary tract symptoms (LUTS) and to evaluate the factors affecting LUTS for the people with Parkinson's disease. METHODS: The research design was a cross-sectional study with interviews using a structured questionnaire. The participants were 72 patients with Parkinson's disease who were seen in the Neurology clinic of a university hospital from September to November 2005. RESULTS: Mean score of LUTS for the participants was 10.11. In each symptom score of LUTS (range 0-5), weak stream was the highest 2.06, followed by nocturia 1.71, and urgency 1.61. The severity of LUTS was moderate to severe group for 51%. LUTS were significantly different by regular exercise. Positive correlations were observed between Hoehn and Yahr stage (stage of disease severity) and frequency and between Hoehn and Yahr stage and urgency (r=.280, p=.018; r=.328, p=.005). LUTS were significantly predicted by regular exercise (p=.001) which explained 15.0% of the variance in LUTS. CONCLUSION: Regular exercise was found to be a very important factor associated with LUTS for patients with Parkinson's disease.