Literature DB >> 25542853

Clinical information systems end user satisfaction: the expectations and needs congruencies effects.

Faezeh Karimi1, Danny C C Poo2, Yung Ming Tan3.   

Abstract

Prior research on information systems (IS) shows that users' attitudes and continuance intentions are associated with their satisfaction with information systems. As such, the increasing amount of investments in clinical information systems (CIS) signifies the importance of understanding CIS end users' (i.e., clinicians) satisfaction. In this study, we develop a conceptual framework to identify the cognitive determinants of clinicians' satisfaction formation. The disconfirmation paradigm serves as the core of the framework. The expectations and needs congruency models are the two models of this paradigm, and perceived performance is the basis of the comparisons in the models. The needs and expectations associated with the models are also specified. The survey methodology is adopted in this study to empirically validate the proposed research model. The survey is conducted at a public hospital and results in 112 and 203 valid responses (56% and 98% response rates) from doctors and nurses respectively. The partial least squares (PLS) method is used to analyze the data. The results of the study show that perceived CIS performance is the most influential factor on clinicians' (i.e., doctors and nurses) satisfaction. Doctors' expectations congruency is the next significant determinant of their satisfaction. Contrary to most previous findings, nurses' expectations and expectations congruency do not show a significant effect on their satisfaction. However, the needs congruency is found to significantly affect nurses' satisfaction.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Clinical information systems; End user satisfaction; Expectations congruency; Needs congruency

Mesh:

Year:  2014        PMID: 25542853     DOI: 10.1016/j.jbi.2014.12.008

Source DB:  PubMed          Journal:  J Biomed Inform        ISSN: 1532-0464            Impact factor:   6.317


  5 in total

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Journal:  Telemed J E Health       Date:  2018-09-12       Impact factor: 3.536

2.  Evaluation of Nursing Information Systems: Application of Usability Aspects in the Development of Systems.

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Journal:  Healthc Inform Res       Date:  2017-04-30

3.  Most Influential Qualities in Creating Satisfaction Among the Users of Health Information Systems: Study in Seven European Union Countries.

Authors:  Shahryar Eivazzadeh; Johan S Berglund; Tobias C Larsson; Markus Fiedler; Peter Anderberg
Journal:  JMIR Med Inform       Date:  2018-11-30

4.  Evaluation of the Integrated Health Information System (IHIS) in Public Hospitals in Cyprus Utilizing the DIPSA Framework.

Authors:  Antonis Stylianides; John Mantas; Stavros Pouloukas; Zoe Roupa; Edna N Yamasaki
Journal:  Acta Inform Med       Date:  2019-12

5.  A Clinical Data Management System for Diabetes Clinical Trials.

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Journal:  J Healthc Eng       Date:  2022-02-24       Impact factor: 2.682

  5 in total

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