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Background: Culture influences personal health habits and behavior, and healthcare personnel possess different views of cultural perspectives. Currently, an appropriate instrument to assess cultural competence in clinical practice is limited. The present study aimed to develop and examine the psychometric properties of the Nursing Cultural Competence Scale (NCCS) for clinical nurses. Methods: Developing and assessing the scale was carried out in two phases: Phase I involved a qualitative research to explore the themes of nurses’ cultural competence and instrument development; Phase II established construct validity of the scale using a sample of 246 nurses in Taiwan. Data from the questionnaire were analyzed using exploratory factor analysis, confirmatory factor analysis, internal consistency and test-retest reliability. Analysis results were used to determine the reliability and validity of the developed scale. Results: The results showed four factors including cultural awareness ability, cultural action ability, cultural resources application ability, and self-learning cultural ability were generated by exploratory factor analysis, and these factors explained 62.0% of total variance. Cronbach’s α of the Nursing Cultural Competence Scale was .88, and test-retest reliability correlation was .70. Conclusions: The establishment of the tool will facilitate accurate monitoring of the cultural competence among nurses and nursing managers, which can inform the construction of nursing policies aimed at pledge cultural competence expansion. [ABSTRACT FROM AUTHOR]

The purpose of this study is to explore recognition of the importance of later-life planning and practice of later-life preparation by individuals from different generations. The study utilizes the Computer-Assisted Telephone Interview (CATI) method, in combination with a later-life planning questionnaire, to investigate adults (over 20 years old) across 25 counties and cities in Taiwan. The research design employed proportional stratified random sampling, and it received 1071 valid samples. The data was analyzed using descriptive statistics, one-way ANOVA, and logistic regression. Five findings stand out: First, later-life planning can be categorized into five domains: physical health, psychological adjustment, social relationships, financial management, and leisure life. Second, the subjects showed their recognition of the importance of later-life planning, especially with respect to physical health. Third, their preparations primarily took the form of following a balanced diet, maintaining a good mood, saving money, maintaining good relationships with family, and planning adequate leisure activities. Fourth, the results show intergenerational differences in recognition of the importance of later-life planning. Fifth, recognition of the importance of later-life planning effectively predicts one's practice of later-life preparation. Policy suggestions are offered for governmental and educational institutions dealing with older adults. [ABSTRACT FROM AUTHOR]

This work demonstrates the image qualities between two popular JPEG2000 programs. Two medical image compression algorithms are both coded using JPEG2000, but they are different regarding the interface, convenience, speed of computation, and their characteristic options influenced by the encoder, quantization, tiling, etc. The differences in image quality and compression ratio are also affected by the modality and compression algorithm implementation. Do they provide the same quality? The qualities of compressed medical images from two image compression programs named Apollo and JJ2000 were evaluated extensively using objective metrics. These algorithms were applied to three medical image modalities at various compression ratios ranging from 10:1 to 100:1. Following that, the quality of the reconstructed images was evaluated using five objective metrics. The Spearman rank correlation coefficients were measured under every metric in the two programs. We found that JJ2000 and Apollo exhibited indistinguishable image quality for all images evaluated using the above five metrics ( r > 0.98, p < 0.001). It can be concluded that the image quality of the JJ2000 and Apollo algorithms is statistically equivalent for medical image compression. [ABSTRACT FROM AUTHOR]