Aim: To explore the evolution of cultural competence in Taiwanese paediatric nurses.
Background: Because transnational marriage has become a social phenomenon in Taiwan, the proportion of newborns of new immigrant mothers accounts for 8%-10% of total births every year. As family-centred care is the core value of paediatric nursing, it is necessary to teach caregivers how to take care of hospitalised children and perform related nursing care as well as to determine what difficulties nurses will encounter when they care for patients from diverse cultures and to find solutions for these problems. Unfortunately, few nursing programmes provide elective transcultural courses.
Design: A phenomenological design was applied in the study.
Method: A purposive sampling method was used. Nurses who had served in paediatric wards for over 1 year and who also had experience with taking care of the children of new immigrants were recruited as the informants. The data were collected through face-to-face in-depth interviews and analysed using Moustakas' method (1994). Rigour and trustworthiness was based on Yardley's evaluative criteria.
Results: The researcher interviewed ten paediatric nurses. Their average age was 31.6 years. The mean seniority of their service in paediatric wards was 6.3 years. Four major themes were obtained from the data, including perceiving difficulties related to caring for patients from diverse cultures, self-reflection on diverse cultures and the findings, finding approaches based on experiences with diverse cultures and new perceptions and identification with diverse cultures.
Conclusions: In this study, clinical nurses were interviewed who had not had cultural competency training during their nursing education. It is suggested that such courses be provided for nurses to improve their cultural competence.
Relevance For Clinical Practice: Accordingly, educational strategies could be generated to improve nurses' cultural competence related to clinical applications.
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http://dx.doi.org/10.1111/jocn.14526 | DOI Listing |
Sensors (Basel)
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Department of Industrial Engineering, Chosun University, Gwangju 61452, Republic of Korea.
In human activity recognition, accurate and timely fall detection is essential in healthcare, particularly for monitoring the elderly, where quick responses can prevent severe consequences. This study presents a new fall detection model built on a transformer architecture, which focuses on the movement speeds of key body points tracked using the MediaPipe library. By continuously monitoring these key points in video data, the model calculates real-time speed changes that signal potential falls.
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Faculty of Agriculture, Tottori University, Tottori 680-8553, Japan.
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Department of Molecular Medicine, Institute of Basic Medical Sciences, Faculty of Medicine, University of Oslo, 0372 Oslo, Norway.
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Department of Anatomy, Biochemistry, and Physiology, John A. Burns School of Medicine, University of Hawai'i at Mānoa, Honolulu, HI 96822, USA.
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