title: Nurses' attitudes toward the use of the bar-coding medication administration system.
abstract: This study determines nurses' attitudes toward bar-coding medication administration system use. Some of the factors underlying the successful use of bar-coding medication administration systems that are viewed as a connotative indicator of users' attitudes were used to gather data that describe the attitudinal basis for system adoption and use decisions in terms of subjective satisfaction. Only 67 nurses in the United States had the chance to respond to the e-questionnaire posted on the CARING list server for the months of June and July 2007. Participants rated their satisfaction with bar-coding medication administration system use based on system functionality, usability, and its positive/negative impact on the nursing practice. Results showed, to some extent, positive attitude, but the image profile draws attention to nurses' concerns for improving certain system characteristics. The high bar-coding medication administration system skills revealed a more negative perception of the system by the nursing staff. The reasons underlying dissatisfaction with bar-coding medication administration use by skillful users are an important source of knowledge that can be helpful for system development as well as system deployment. As a result, strengthening bar-coding medication administration system usability by magnifying its ability to eliminate medication errors and the contributing factors, maximizing system functionality by ascertaining its power as an extra eye in the medication administration process, and impacting the clinical nursing practice positively by being helpful to nurses, speeding up the medication administration process, and being user-friendly can offer a congenial settings for establishing positive attitude toward system use, which in turn leads to successful bar-coding medication administration system use.
authors.affiliation: School of Nursing, American University of Beirut, Beirut, Lebanon. sd01@aub.edu.lb
authors.forename: Sana Daya
authors.initials: SD
authors.lastname: Marini
authors.forename: Arie
authors.initials: A
authors.lastname: Hasman
authors.forename: Huda Abu-Saad
authors.initials: HA
authors.lastname: Huijer
authors.forename: Hani
authors.initials: H
authors.lastname: Dimassi
mesh_terms: D000328:Adult; D000704:Analysis of Variance; D001291:Attitude of Health Personnel; D001292:Attitude to Computers; D004059:Diffusion of Innovation; D004348:Drug Labeling; D004358:Drug Therapy / Q000451:nursing; D005163:Factor Analysis, Statistical; D005260:Female; D006801:Humans; D008297:Male; D050316:Medical Order Entry Systems / Q000458:organization & administration; D008508:Medication Errors / Q000451:nursing / Q000517:prevention & control / Q000706:statistics & numerical data; D008510:Medication Systems, Hospital / Q000458:organization & administration*; D008875:Middle Aged; D015404:Nursing Methodology Research; D009741:Nursing Staff, Hospital / Q000193:education / Q000523:psychology*; D010355:Patient Identification Systems / Q000458:organization & administration*; D019095:Point-of-Care Systems / Q000458:organization & administration*; D012044:Regression Analysis; D017751:Safety Management; D011795:Surveys and Questionnaires; D014481:United States; D014584:User-Computer Interface