Literature DB >> 22156768

An investigation on task-technology fit of mobile nursing information systems for nursing performance.

Ju-Ling Hsiao1, Rai-Fu Chen.   

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 (γ=0.234, P<.05) and information identification (γ=0.478, P<.001), and independent tasks have significant effects on information acquisition (γ=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 (γ=0.365, P<.001), as well as information acquisition (γ=0.253, P<.05). The service supports of mobile nursing information systems have positive effects on information acquisition (γ=0.318, P<.001) and information integration and interpretation (γ=0.143, P<.01). Furthermore, information identification (β=.055, P<.05), information acquisition (β=.176, P<.001), and information integration and interpretation (β=.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.

Entities:  

Mesh:

Year:  2012        PMID: 22156768     DOI: 10.1097/NCN.0b013e31823eb82c

Source DB:  PubMed          Journal:  Comput Inform Nurs        ISSN: 1538-2931            Impact factor:   1.985


  6 in total

1.  The impact of mobile technology on teamwork and communication in hospitals: a systematic review.

Authors:  Guy Martin; Ankur Khajuria; Sonal Arora; Dominic King; Hutan Ashrafian; Ara Darzi
Journal:  J Am Med Inform Assoc       Date:  2019-04-01       Impact factor: 4.497

2.  Iranian healthcare professionals' perspectives about factors influencing the use of telemedicine in diabetes management.

Authors:  Haleh Ayatollahi; Nader Mirani; Fatemeh Nazari; Narjes Razavi
Journal:  World J Diabetes       Date:  2018-06-15

3.  Exploring critical factors influencing nurses' intention to use tablet PC in Patients' care using an integrated theoretical model.

Authors:  Shu-Lung Sun; Hsin-Ginn Hwang; Bireswar Dutta; Mei-Hui Peng
Journal:  Libyan J Med       Date:  2019-12       Impact factor: 1.743

4.  Health Professionals' Perspectives on Electronic Medical Record Infusion and Individual Performance: Model Development and Questionnaire Survey Study.

Authors:  Rai-Fu Chen; Ju-Ling Hsiao
Journal:  JMIR Med Inform       Date:  2021-11-30

5.  Determinants predicting the electronic medical record adoption in healthcare: A SEM-Artificial Neural Network approach.

Authors:  Amina Almarzouqi; Ahmad Aburayya; Said A Salloum
Journal:  PLoS One       Date:  2022-08-16       Impact factor: 3.752

6.  Factors of accepting pain management decision support systems by nurse anesthetists.

Authors:  Ju-Ling Hsiao; Wen-Chu Wu; Rai-Fu Chen
Journal:  BMC Med Inform Decis Mak       Date:  2013-01-29       Impact factor: 2.796

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.