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BMC Med Inform Decis Mak. 2016 Nov 15;16(1):145. doi: 10.1186/s12911-016-0388-y.

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

BMC medical informatics and decision making

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

Affiliations

  1. Department of BioHealth Informatics, Indiana University School of Informatics and Computing, Indianapolis, IN, USA.
  2. Center for Patient Care and Outcomes Research, Division of General Internal Medicine, Department of Medicine, Medical College of Wisconsin, Milwaukee, WI, 53226, USA. [email protected].
  3. Center for Patient Care and Outcomes Research, Division of General Internal Medicine, Department of Medicine, Medical College of Wisconsin, Milwaukee, WI, 53226, USA.
  4. Department of Pediatrics, Division of Critical Care, Medical College of Wisconsin, Milwaukee, WI, USA.

PMID: 27846827 PMCID: PMC5109818 DOI: 10.1186/s12911-016-0388-y

Abstract

BACKGROUND: 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.

METHODS: An expanded technology acceptance model was tested by applying stepwise linear regression to data from a standardized survey of 167 nurses.

RESULTS: 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

CONCLUSIONS: 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.

Keywords: Human-computer interaction; Nursing informatics; Pediatric intensive care; Technology acceptance model; Usability

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