↓ Skip to main content

Nurses’ perceptions, acceptance, and use of a novel in-room pediatric ICU technology: testing an expanded technology acceptance model

Overview of attention for article published in BMC Medical Informatics and Decision Making, November 2016
Altmetric Badge

Readers on

mendeley
218 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Nurses’ perceptions, acceptance, and use of a novel in-room pediatric ICU technology: testing an expanded technology acceptance model
Published in
BMC Medical Informatics and Decision Making, November 2016
DOI 10.1186/s12911-016-0388-y
Pubmed ID
Authors

Richard J. Holden, Onur Asan, Erica M. Wozniak, Kathryn E. Flynn, Matthew C. Scanlon

Abstract

The value of health information technology (IT) ultimately depends on end users accepting and appropriately using it for patient care. This study examined pediatric intensive care unit nurses' perceptions, acceptance, and use of a novel health IT, the Large Customizable Interactive Monitor. An expanded technology acceptance model was tested by applying stepwise linear regression to data from a standardized survey of 167 nurses. Nurses reported low-moderate ratings of the novel IT's ease of use and low to very low ratings of usefulness, social influence, and training. Perceived ease of use, usefulness for patient/family involvement, and usefulness for care delivery were associated with system satisfaction (R(2) = 70%). Perceived usefulness for care delivery and patient/family social influence were associated with intention to use the system (R(2) = 65%). Satisfaction and intention were associated with actual system use (R(2) = 51%). The findings have implications for research, design, implementation, and policies for nursing informatics, particularly novel nursing IT. Several changes are recommended to improve the design and implementation of the studied IT.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 218 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Unknown 217 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 36 17%
Student > Ph. D. Student 24 11%
Lecturer 12 6%
Student > Bachelor 12 6%
Student > Doctoral Student 8 4%
Other 34 16%
Unknown 92 42%
Readers by discipline Count As %
Nursing and Health Professions 31 14%
Business, Management and Accounting 21 10%
Computer Science 19 9%
Medicine and Dentistry 16 7%
Engineering 11 5%
Other 22 10%
Unknown 98 45%