Literature DB >> 27009793

Factors influencing nurses' acceptance of hospital information systems in Iran: application of the Unified Theory of Acceptance and Use of Technology.

Roxana Sharifian1, Fatemeh Askarian1, Mohtaram Nematolahi1, Payam Farhadi2.   

Abstract

User acceptance is a precondition for successful implementation of hospital information systems (HISs). Increasing investment in information technology by healthcare organisations internationally has made user acceptance an important issue in technology implementation and management. Despite the increased focus on hospital information systems, there continues to be user resistance. The present study aimed to investigate the factors affecting hospital information systems nurse-user acceptance of HISs, based on the Unified Theory of Acceptance and Use of Technology (UTAUT), in the Shiraz University of Medical Sciences teaching hospitals. A descriptive-analytical research design was employed to study nurses' adoption and use of HISs. Data collection was undertaken using a cross-sectional survey of nurses (n=303). The research model was examined using the LISREL path confirmatory modeling. The results demonstrated that the nurses' behavioural intention (BI) to use hospital information systems was predicted by Performance Expectancy (PE) (β= 2.34, p<0.01), Effort Expectancy (EE) (β= 2.21, p<0.01), Social Influence (SI) (β= 2.63, p<0.01) and Facilitating Conditions (FC) (β= 2.84, p<0.01). The effects of these antecedents of BI explained 72.8% of the variance in nurses' intention to use hospital information systems (R2 = 0.728). Application of the research model suggested that nurses' acceptance of HISs was influenced by performance expectancy, effort expectancy, social influence and facilitating conditions, with performance expectancy having the strongest effect on user intention.

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Year:  2014        PMID: 27009793     DOI: 10.1177/183335831404300303

Source DB:  PubMed          Journal:  Health Inf Manag        ISSN: 1833-3583            Impact factor:   3.185


  10 in total

1.  The Applicability of the Modified Technology Acceptance Model (TAM) on the Sustainable Adoption of eHealth Systems in Resource-Limited Settings.

Authors:  Mulugeta Hayelom Kalayou; Berhanu Fikadie Endehabtu; Binyam Tilahun
Journal:  J Multidiscip Healthc       Date:  2020-12-03

2.  Confirmation of Expectations and Satisfaction with Hospital Information Systems: A Nursing Perspective.

Authors:  Haleh Ayatollahi; Mostafa Langarizadeh; Habib Chenani
Journal:  Healthc Inform Res       Date:  2016-10-31

3.  An investigation into the effective factors on the acceptance and use of integrated health system in the primary health-care centers.

Authors:  Maryam Jahanbakhsh; Hamid Reza Peikari; Farzaneh Hazhir; Sakineh Saghaeiannejad-Isfahani
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4.  The Determinants for Food Safety Push Notifications on Continuance Intention in an E-Appointment System for Public Health Medical Services: The Perspectives of UTAUT and Information System Quality.

Authors:  Yu-Ping Lee; Hsin-Yeh Tsai; Athapol Ruangkanjanases
Journal:  Int J Environ Res Public Health       Date:  2020-11-09       Impact factor: 3.390

5.  The Contributing Factors to Nurses' Behavioral Intention to Use Hospital Information Technologies in Ghana.

Authors:  Zhou Lulin; Joseph Owusu-Marfo; Henry Asante Antwi; Xinglong Xu
Journal:  SAGE Open Nurs       Date:  2020-04-29

6.  Factors Affecting the Acceptance of Mobile Health by Medical Sciences Students: A Cross-Sectional Study.

Authors:  Mahnaz Samadbeik; Ali Garavand; Marzieh Kordi; Atefeh Abtin; Heshmatollah Asadi
Journal:  Iran J Nurs Midwifery Res       Date:  2020-11-07

7.  Study of the factors influencing the use of MyData platform based on personal health record data sharing system.

Authors:  Wona Choi; Se-Hyun Chang; Yoon-Sik Yang; Surin Jung; Seo-Joon Lee; Ji-Won Chun; Dai-Jin Kim; Woonjeong Lee; In Young Choi
Journal:  BMC Med Inform Decis Mak       Date:  2022-07-15       Impact factor: 3.298

8.  Acceptance of clinical decision support system to prevent venous thromboembolism among nurses: an extension of the UTAUT model.

Authors:  Huixian Zha; Kouying Liu; Ting Tang; Yue-Heng Yin; Bei Dou; Ling Jiang; Hongyun Yan; Xingyue Tian; Rong Wang; Weiping Xie
Journal:  BMC Med Inform Decis Mak       Date:  2022-08-19       Impact factor: 3.298

9.  Factors associated with nurses' user resistance to change of electronic health record systems.

Authors:  Younghee Cho; Mihui Kim; Mona Choi
Journal:  BMC Med Inform Decis Mak       Date:  2021-07-17       Impact factor: 2.796

10.  Analysis of the factors influencing healthcare professionals' adoption of mobile electronic medical record (EMR) using the unified theory of acceptance and use of technology (UTAUT) in a tertiary hospital.

Authors:  Seok Kim; Kee-Hyuck Lee; Hee Hwang; Sooyoung Yoo
Journal:  BMC Med Inform Decis Mak       Date:  2016-01-30       Impact factor: 2.796

  10 in total

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