Biomedical subjects
Philip L H Yu
Publications and source records attributed to Philip L H Yu.
A comparative study of Chinese, American and Japanese nurses' perceptions of ethical role responsibilities.
This article reports a survey of nurses in different cultural settings to reveal their perceptions of ethical role responsibilities relevant to nursing practice. Drawing on the Confucian theory of ethics, the first section attempts to understand nursing ethics in the context of multiple role relationships. The second section reports the administration of the Role Responsibilities Questionnaire (RRQ) to a sample of nurses in China (n = 413), the USA (n = 163), and Japan (n = 667). Multidimensional preference analysis revealed the patterns of rankings given by the nurses to the statements they considered as important ethical responsibilities. The Chinese nurses were more virtue based in their perception of ethical responsibilities, the American nurses were more principle based, and the Japanese nurses were more care based. The findings indicate that the RRQ is a sensitive instrument for outlining the embedded sociocultural factors that influence nurses' perceptions of ethical responsibilities in the realities of nursing practice. This study could be important in the fostering of partnerships in international nursing ethics.
Incentives and barriers that influence clinical computerization in Hong Kong: a population-based physician survey.
OBJECTIVE: Given the slow adoption of medical informatics in Hong Kong and Asia, we sought to understand the contributory barriers and potential incentives associated with information technology implementation. DESIGN AND MEASUREMENTS: A representative sample of 949 doctors (response rate = 77.0%) was asked through a postal survey to rank a list of nine barriers associated with clinical computerization according to self-perceived importance. They ranked seven incentives or catalysts that may influence computerization. We generated mean rank scores and used multidimensional preference analysis to explore key explanatory dimensions of these variables. A hierarchical cluster analysis was performed to identify homogenous subgroups of respondents. We further determined the relationships between the sets of barriers and incentives/catalysts collectively using canonical correlation. RESULTS: Time costs, lack of technical support and large capital investments were the biggest barriers to computerization, whereas improved office efficiency and better-quality care were ranked highest as potential incentives to computerize. Cost vs. noncost, physician-related vs. patient-related, and monetary vs. nonmonetary factors were the key dimensions explaining the barrier variables. Similarly, within-practice vs external and "push" vs "pull" factors accounted for the incentive variables. Four clusters were identified for barriers and three for incentives/catalysts. Canonical correlation revealed that respondents who were concerned with the costs of computerization also perceived financial incentives and government regulation to be important incentives/catalysts toward computerization. Those who found the potential interference with communication important also believed that the promise of improved care from computerization to be a significant incentive. CONCLUSION: This study provided evidence regarding common barriers associated with clinical computerization. Our findings also identified possible incentive strategies that may be employed to accelerate uptake of computer systems.