Literature DB >> 26806709

The moderating effects of demographic and individual characteristics on nurses' acceptance of information systems: A canadian study.

Princely Ifinedo1.   

Abstract

OBJECTIVES: The purpose of this study was to educate on the moderating effects of demographic (i.e., educational level and age) and individual characteristics (i.e., years of nursing experience and computer knowledge) on nurses' acceptance of information systems (IS). The technology acceptance model (TAM) with its constituent variables such as perceived usefulness (PUSS) and perceived ease of use (PEOU) was the theoretical framework used for this study.
METHODS: A cross-sectional study was conducted in Nova Scotia, Canada. Usable data was collected from 197 registered nurses (RNs). Relevant hypotheses were formulated and the partial least squares (PLS) technique was used for data analysis.
RESULTS: The results of the hypothesized relationships showed that education and computer knowledge have positive moderating effects on the influences of PEOU and PUSS on nurses' attitudes toward IS (ATTI). The factors of nurses' years of nursing experience and age did not yield meaningful results. ATTI impacted behavioral intentions to use IS, which positively impacted nurses' use of IS. The nurses sampled in the study have positive IS use behaviors.
CONCLUSIONS: This study demonstrates that relevant demographic factors and individual characteristics, if incorporated into frameworks used for investigating nurses' acceptance of IS, could permit the emergence of useful insights for practitioners and researchers. Specifically, this study showed that nurses with higher educational attainments and more basic computer knowledge readily accept implemented IS at work. Hospital administrators benefit from insights such as the one presented in this study.
Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Demographic factors; Healthcare-based IS; Individual characteristics; Information systems; Nurses; Technology acceptance

Mesh:

Year:  2015        PMID: 26806709     DOI: 10.1016/j.ijmedinf.2015.12.012

Source DB:  PubMed          Journal:  Int J Med Inform        ISSN: 1386-5056            Impact factor:   4.046


  10 in total

1.  A Systematic Review of the Technology Acceptance Model in Health Informatics.

Authors:  Bahlol Rahimi; Hamed Nadri; Hadi Lotfnezhad Afshar; Toomas Timpka
Journal:  Appl Clin Inform       Date:  2018-08-15       Impact factor: 2.342

2.  Predicting healthcare professionals' intention to use poison information system in a Malaysian public hospital.

Authors:  Yulita Hanum P Iskandar; Gogilavani Subramaniam; Mohamed Isa Abd Majid; Adilah Mohamed Ariff; Gururajaprasad Kaggal Lakshmana Rao
Journal:  Health Inf Sci Syst       Date:  2020-01-03

3.  Empirical Study of Nova Scotia Nurses' Adoption of Healthcare Information Systems: Implications for Management and Policy-Making.

Authors:  Princely Ifinedo
Journal:  Int J Health Policy Manag       Date:  2018-04-01

4.  Determinants of the behavioral intention to use a mobile nursing application by nurses in China.

Authors:  Minghao Pan; Wei Gao
Journal:  BMC Health Serv Res       Date:  2021-03-12       Impact factor: 2.655

5.  A study of the relationship between nurses' experience, structural empowerment, and attitudes toward computer use.

Authors:  Jehad A Rababah; Mohammed M Al-Hammouri; Wafa'a F Ta'an
Journal:  Int J Nurs Sci       Date:  2021-09-18

6.  Exploring the role of the nurse manager in supporting point-of-care nurses' adoption of electronic health records: protocol for a qualitative research study.

Authors:  Gillian Strudwick; Richard G Booth; Ragnhildur I Bjarnadottir; Sarah Collins; Rani Srivastava
Journal:  BMJ Open       Date:  2017-10-12       Impact factor: 2.692

7.  Acute care nurses' perceptions of electronic health record use: A mixed method study.

Authors:  Gillian Strudwick; Linda McGillis Hall; Lynn Nagle; Patricia Trbovich
Journal:  Nurs Open       Date:  2018-05-07

8.  Nurses' experiences and viewpoints about the benefits of adopting information technology in health care: a qualitative study in Iran.

Authors:  Jamileh Farokhzadian; Reza Khajouei; Arie Hasman; Leila Ahmadian
Journal:  BMC Med Inform Decis Mak       Date:  2020-09-21       Impact factor: 2.796

9.  The Association Between Using a Mobile Version of an Electronic Health Record and the Well-Being of Nurses: Cross-sectional Survey Study.

Authors:  Tarja Heponiemi; Anu-Marja Kaihlanen; Kia Gluschkoff; Kaija Saranto; Sari Nissinen; Elina Laukka; Tuulikki Vehko
Journal:  JMIR Med Inform       Date:  2021-07-06

10.  Electronic Health Record Implementations and Insufficient Training Endanger Nurses' Well-being: Cross-sectional Survey Study.

Authors:  Tarja Heponiemi; Kia Gluschkoff; Tuulikki Vehko; Anu-Marja Kaihlanen; Kaija Saranto; Sari Nissinen; Janna Nadav; Sari Kujala
Journal:  J Med Internet Res       Date:  2021-12-23       Impact factor: 5.428

  10 in total

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