IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Factors Impacting Use of Health IT Applications: Predicting Nurses' Perception of Performance

Factors Impacting Use of Health IT Applications: Predicting Nurses' Perception of Performance
View Sample PDF
Author(s): Sadaf Ashtari (California State University, Sacramento, USA)and Al Bellamy (Eastern Michigan University, Ypsilanti, USA)
Copyright: 2021
Pages: 25
Source title: Research Anthology on Nursing Education and Overcoming Challenges in the Workplace
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-7998-9161-1.ch013

Purchase

View Factors Impacting Use of Health IT Applications: Predicting Nurses' Perception of Performance on the publisher's website for pricing and purchasing information.

Abstract

Nowadays, information technology tools are widely used in the healthcare industry to record and integrate medical data so as to provide complete access to patients' information for coordinated healthcare delivery. Yet, the efficacy of these technologies depends on their successful implementation for, adoption by and/or adaptation to support health professional workers such as physicians and nurses. This study addresses the impact of specific factors including result observability, autonomy, perceived barriers, task structure, privacy and security anxiety on the nurses' perception of their performance using health information technologies. Additionally, the effects of nurses' personality factors are examined as moderating factors on the relationships between the organizational factors and nurses' perception of performance. Multiple linear regression was applied to validate the proposed research model and professional autonomy, result observability, privacy and security anxiety were found to be key factors predicting the nurses' perception of performance.

Related Content

Namala Lakshmi Tilakaratna, Mark Brooke, Laetitia Monbec, Siew Tiang Lau, Vivien Xi Wu, Yah Shih Chan. © 2021. 25 pages.
Emily Ng K.L.. © 2021. 14 pages.
Jill Erin Stefaniak, Melanie E. Ross. © 2021. 13 pages.
Colleen Royle, Kathleen Hargiss. © 2021. 10 pages.
Denise Passmore. © 2021. 21 pages.
Halima E. Samra, Alice S. Li, Ben Soh, Mohammed A. AlZain. © 2021. 16 pages.
Jennifer Roye, Denise M. Cauble. © 2021. 11 pages.
Body Bottom