ERIC Number: ED550685
Record Type: Non-Journal
Publication Date: 2012
Abstractor: As Provided
Reference Count: N/A
Evaluating the Relationship of Computer Literacy Training Competence and Nursing Experience to CPIS Resistance
Reese, Dorothy J.
ProQuest LLC, D.H.A. Dissertation, University of Phoenix.
The purpose of this quantitative, descriptive/correlational project was to examine the relationship between the level of computer literacy, informatics training, nursing experience, and perceived competence in using computerized patient information systems (CPIS) and nursing resistance to using CPIS. The Nurse Computerized Patient Information System Questionnaire was used as the data collection instrument in this study because it addressed the research questions and hypotheses. Multiple linear regression analyses were used to investigate the correlation between computer literacy, informatics training, nursing experience, and self-reported competence as predictors of nurse resistance to CPIS use. In terms of the four major hypotheses of this project: (1) computer literacy was not shown to have a significant relationship to CPIS resistance, (2) participants who viewed themselves as having a higher level of competence tended to be less resistant to CPIS, (3) participants who used computers in more varied ways were less resistant to CPIS, and (4) participants who had received computer/informatics training through workshops or conferences tended to be less resistant to CPIS than those who had not. Other methods of training are unrelated to resistance. [The dissertation citations contained here are published with the permission of ProQuest LLC. Further reproduction is prohibited without permission. Copies of dissertations may be obtained by Telephone (800) 1-800-521-0600. Web page: http://www.proquest.com/en-US/products/dissertations/individuals.shtml.]
Descriptors: Nursing, Nurses, Statistical Analysis, Correlation, Computer Attitudes, Training, Measures (Individuals), Negative Attitudes, Questionnaires, Patients, Information Systems, Computer Use, Multiple Regression Analysis
Publication Type: Dissertations/Theses - Doctoral Dissertations
Education Level: N/A
Authoring Institution: N/A