ABSTRACT
This research aimed to analyze dementia research trends in nursing using a text mining approach. In this study, text mining approach was used to analyze the studies on dementia in the field of nursing around the world. In this study, summaries of all available publications in English between the years 1990-2023 were extracted from the database and transferred to an Excel table by using the 'Nursing' AND 'Dementia' query from the Thomson Reuters-ISI Web of Science database. According to the results of this research, a total of 21 concept groups were identified, four of which were the most important. It was determined that the most frequently used word in all of the studies obtained from the database was 'cost'. In this direction, scientific research on dementia in the field of nursing can be planned by evaluating the most frequently used concepts.
Subject(s)
Data Mining , Dementia , Data Mining/methods , Humans , Nursing Research/trendsABSTRACT
BACKGROUND: Qualified individualised nursing care should be provided to all communities and ethnic groups with free of ethnocentrism. AIMS: To evaluate nurses' individualised care behaviours and ethnocentric attitudes and predict the relationship between their individualised care behaviours and ethnocentric attitudes. DESIGN: A descriptive and exploratory study. METHODS: This study was conducted with 250 nurses working in a public and two private hospitals in a city, an area with many refugees. Data were collected using the Ethnocentrism Scale and Individualised Care Behaviours Scale. Structural equation model analysis to test hypothetical model and descriptive statistics were used. RESULTS: Nurses working in the private hospitals had a higher individualised care decision control mean score. Those nurses who enjoyed spending time with people from different cultures had lower mean ethnocentrism scale scores, higher individualised care clinical status, personal life and decision control status subscales mean scores compared to other nurses. Mean scores of the individualised care personal life and decision control status subscales of the nurses who followed the literature on transcultural nursing was higher. A significant relationship between the ethnocentrism levels and individualised care behaviours was identified. Accordingly, the ethnocentric attitudes of the nurses negatively affected their individualised care behaviours, and the model established between the two concepts is statistically appropriate. CONCLUSIONS: Nurses who work in private hospitals, receive intercultural nursing education and enjoy spending time with different cultures have higher individualised care behaviours and lower ethnocentrism levels. Ethnocentric attitudes of the nurses negatively affected their individualised care behaviours. Care strategies should be developed that consider the factors that will maximize individualised care practices that minimize ethnocentric behaviours among nurses. IMPLICATIONS FOR THE PROFESSION: Increasing awareness on individualised care behaviours, ethnocentric attitudes and effected factors will contribute to improve of nursing care quality of nurses while giving care to individuals from different cultures.
