Purpose
This study aimed to examine the relationship among professor-student interactions, grit, and adaptation to college life.
Methods
In this quantitative, cross-sectional study, participants completed a structured questionnaire comprising 48 items: 8 on general characteristics, 8 on professor-student interactions, 12 on grit, and 20 on adaptation to college life. Data were collected from 165 nursing students at two four-year universities between April 15 and May 20, 2023.
Results
Professor-student interactions had a mean score of 3.76±0.59 out of 5, grit had a mean score of 3.09±0.53, and adaptation to college life had a mean score of 3.48±0.51. Regression analysis identified significant predictors of adaptation to college life, including professor-student interactions (β=.26, p<.001), grit-perseverance of effort (β=.18, p=.047), and satisfaction with the major, with the "very satisfied" (β=.40, p<.001) and "satisfied" (β=.24, p=.002) categories showing significant impacts. The overall regression model was statistically significant (F=20.76, p<.001) and accounted for 32.5% of the variance in adaptation to college life.
Conclusion
Educational programs designed to strengthen professor-student interactions, enhance grit, and improve satisfaction with one's major should be developed to help nursing students adapt to college life. These findings have important implications for nursing education practices, the improvement of student support systems, and the preparation of students for their professional roles.

PURPOSE
This study aimed to identify the type and frequency of nursing activities targeting emergency department patients by analyzing electronic nursing records.
METHODS
This retrospective study identified the characteristics of and nursing activities for adult patients who visited a university hospital emergency department for 6 months from January to June 2018 by analyzing the hospital's electronic nursing records. Descriptive statistics and one-way analysis of variance were used to analyze the characteristics of patients and the nursing records.
RESULTS
A total of 36,435 patients, with an average age of 52.82±19.91 years and a male-to-female ratio of 1:1.16, participated in the study. The number of patients with Korean Triage and Acuity Scale levels 4 (less urgent) and 5 (non-urgent) were 24,403 (67% of the total number). Referrals were requested 1.21±0.54 times per patient. The most frequent NANDA diagnosis and Nursing Intervention Classification intervention were “Risk for unstable blood glucose level” (858, 28.4%), and “Surveillance” (83,131, 23.9%). The most frequent Clinical Care Classification action type was “Assess or Monitor” (313,729, 38.5%). The higher the severity level and the number of referrals, the more the recorded numbers of nursing diagnoses, interventions, and care activities.
CONCLUSION
This study demonstrated the possibility of nursing task analysis by identifying the type and frequency of nursing activities based on the data from electronic nursing records. Further research on electronic nursing records would contribute to the usefulness of these records for nursing workload analysis and effective workforce management.

Citations

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