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1.
Comput Inform Nurs ; 23(3): 139-45, 2005.
Article in English | MEDLINE | ID: mdl-15900171

ABSTRACT

In an effort to predict nursing intention to adopt and properly use a new electronic patient record system (EPRS), a survey gathered demographic and computer experience information of, and attitude and image profile toward, the EPRS prior to installation. The results showed a somewhat positive overall attitude and age was found to be a significant factor in determining nurses' attitudes toward the EPRS. The image profile for the EPRS revealed a more negative perception of the EPRS by the nursing staff. A regression model, designed to identify variables that would predict attitude and in turn system adoption and use of the EPRS, found that age and image profile predictions were significant. The outcome of this research reinforces the notion that nurses are accepting of new EPRS systems and are somewhat supportive of technology in general, but the image profile draws attention to their concerns for quality healthcare delivery.


Subject(s)
Attitude of Health Personnel , Attitude to Computers , Medical Records Systems, Computerized/organization & administration , Nursing Staff, Hospital/psychology , Adult , Age Factors , Analysis of Variance , Computer Literacy , Computer User Training , Education, Nursing, Continuing , Factor Analysis, Statistical , Female , Health Knowledge, Attitudes, Practice , Humans , Inservice Training , Intention , Male , Middle Aged , Models, Psychological , Needs Assessment , Nursing Staff, Hospital/education , Regression Analysis , Self Efficacy , Surveys and Questionnaires
2.
Comput Inform Nurs ; 21(4): 198-205, 2003.
Article in English | MEDLINE | ID: mdl-12869873

ABSTRACT

Self-efficacy is a user's confidence that he or she has the ability to use an information system. A survey gathered demographics, self-assessed computer skills, attitude and self-efficacy before installation of an integrated clinical and administrative information system. Results showed that higher levels of nursing education, home computer use, and average levels of self-assessed e-mail, Internet search, word processing, and general computer expertise predicted self-efficacy of the system. In addition, previous use of home and office electronics equipment, such as an answering machine, predicted self-efficacy. Implications for training and future adoption of clinical information systems are presented.


Subject(s)
Computer Literacy , Hospital Information Systems/statistics & numerical data , Nursing Staff, Hospital/education , Self Efficacy , Data Collection , Education, Nursing , Humans , Nursing Staff, Hospital/standards , Online Systems , Self-Assessment
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