ABSTRACT
An international nursing informatics research collaboration between Duke University Medical Center in Durham, North Carolina, USA and Allgemeine Krankenhaus Hospital in Vienna, Austria used data mining techniques called Knowledge Discovery in Databases (KDD) to explore the relationship between clinical data variables and adult respiratory distress syndrome (ARDS) in critically ill patients. Results of the study and logistics of international research collaboration will be presented at NI '97. The conceptual model, data mining methodology, and objectives for the collaboration are described here.
Subject(s)
Hospital Information Systems , International Cooperation , Nursing Research/methods , Respiratory Distress Syndrome/nursing , Austria , Data Collection/methods , Humans , North Carolina , Outcome Assessment, Health Care/methodsABSTRACT
To assess the attitudes of nurses toward computerization, Stronge and Brodt's questionnaire, Assessment of Nurses' Attitudes Toward Computerization was used to survey head nurses, staff registered nurses, and licensed practical nurses in a 500-bed hospital. Nurses' attitudes were generally favorable toward computers and there were no significant differences in attitudes by nurses' job title, level of education, age, or years of nursing experience. Previous experience with computers was the only variable significantly related to total mean score with those nurses who had previously used computers having significantly (p less than 0.001) more favorable attitudes toward computers than those who reported no previous computer use. A factor analysis was obtained; five factors emerged. Although the factors are similar to the categories identified by Stronge and Brodt, results of the factor analysis suggest response bias.
