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

  • Richard J. Holden
  • , Onur Asan
  • , Erica M. Wozniak
  • , Kathryn E. Flynn
  • , Matthew C. Scanlon
  • Indiana University-Purdue University Indianapolis
  • Medical College of Wisconsin

Research output: Contribution to journalArticlepeer-review

55 Scopus citations

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 (R2 = 70%). Perceived usefulness for care delivery and patient/family social influence were associated with intention to use the system (R2 = 65%). Satisfaction and intention were associated with actual system use (R2 = 51%). 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.

Original languageEnglish
Article number145
Pages (from-to)1-10
Number of pages10
JournalBMC Medical Informatics and Decision Making
Volume16
Issue number1
DOIs
StatePublished - 15 Nov 2016

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Human-computer interaction
  • Nursing informatics
  • Pediatric intensive care
  • Technology acceptance model
  • Usability

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