An Investigation on Task-Technology Fit of Mobile Nursing Information Systems for Nursing Performance

doi:10.1097/NCN.0b013e31823eb82c

CNU IR > Pharmacy and Science > Dept. of Health and Nutrition (including master's program) > Periodical Articles > Item 310902800/27655

Please use this identifier to cite or link to this item: https://ir.cnu.edu.tw/handle/310902800/27655

Title:	An Investigation on Task-Technology Fit of Mobile Nursing Information Systems for Nursing Performance
Authors:	Hsiao, Ju-Ling Chen, Rai-Fu
Contributors:	保健營養系資訊管理系
Keywords:	Mobile Nursing Information Systems Nursing Performance Nursing Staffs Task-Technology Fit
Date:	2012-05
Issue Date:	2014-03-21 16:16:38 (UTC+8)
Publisher:	Lippincott Williams & Wilkins
Abstract:	This study investigates factors affecting the fit between nursing tasks and mobile nursing information systems and the relationships between the task-technology fit of mobile nursing information systems and nurse performance from the perspective of task-technology fit. Survey research recruited nursing staffs as subjects from selected case hospital. A total of 310 questionnaires were sent out, and 219 copies were obtained, indicating a valid response rate of 70.6%. Collected data were analyzed using the structural equation modeling technique. Our study found that dependence tasks have positive effects on information acquisition (gamma = 0.234, P < .05) and information identification (gamma = 0.478, P < .001), and independent tasks have significant effects on information acquisition (gamma = 0.213, P < .05). Therefore, the introduction of mobile nursing information systems in assisting nursing practices can help facilitate both independent and dependent nursing tasks. Our study discovered that the supporting functions of mobile nursing information systems have positive effects on information integration and interpretation (gamma = 0.365, P < .001), as well as information acquisition (gamma = 0.253, P < .05). The service supports of mobile nursing information systems have positive effects on information acquisition (gamma = 0.318, P < .001) and information integration and interpretation (gamma = 0.143, P < .01). Furthermore, information identification (beta = .055, P < .05), information acquisition (beta = .176, P < .001), and information integration and interpretation (beta = .706, P < .001) provided using mobile nursing information systems have positive effects on nursing performance, indicating 83.2% of totally explained variance. As shown, the use of mobile nursing information systems could provide nursing staffs with real-time and accurate information to increase efficiency and effectiveness in patient-care duties, further improving nursing performance.
Relation:	Cin-Computers Informatics Nursing, 30(5), 265-273
Appears in Collections:	[Dept. of Health and Nutrition (including master's program)] Periodical Articles [Dept. of Information Management] Periodical Articles

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