Literature DB >> 27033175

Information system end-user satisfaction and continuance intention: A unified modeling approach.

Brahim Hadji1, Patrice Degoulet2.   

Abstract

CONTEXT: Permanent evaluation of end-user satisfaction and continuance intention is a critical issue at each phase of a clinical information system (CIS) project, but most validation studies are concerned with the pre- or early post-adoption phases.
OBJECTIVE: The purpose of this study was twofold: to validate at the Pompidou University Hospital (HEGP) an information technology late post-adoption model built from four validated models and to propose a unified metamodel of evaluation that could be adapted to each context or deployment phase of a CIS project.
METHODS: Five dimensions, i.e., CIS quality (CISQ), perceived usefulness (PU), confirmation of expectations (CE), user satisfaction (SAT), and continuance intention (CI) were selected to constitute the CI evaluation model. The validity of the model was tested using the combined answers to four surveys performed between 2011 and 2015, i.e., more than ten years after the opening of HEGP in July 2000. Structural equation modeling was used to test the eight model-associated hypotheses.
RESULTS: The multi-professional study group of 571 responders consisted of 158 doctors, 282 nurses, and 131 secretaries. The evaluation model accounted for 84% of variance of satisfaction and 53% of CI variance for the period 2011-2015 and for 92% and 69% for the period 2014-2015. In very late post adoption, CISQ appears to be the major determinant of satisfaction and CI. Combining the results obtained at various phases of CIS deployment, a Unified Model of Information System Continuance (UMISC) is proposed.
CONCLUSION: In a meaningful CIS use situation at HEGP, this study confirms the importance of CISQ in explaining satisfaction and CI. The proposed UMISC model that can be adapted to each phase of CIS deployment could facilitate the necessary efforts of permanent CIS acceptance and continuance evaluation.
Copyright © 2016 Elsevier Inc. All rights reserved.

Keywords:  Clinical information system evaluation; Continuance intention; Information system acceptance; Information technology evaluation; Post-adoption evaluation; Structural equation modeling

Mesh:

Year:  2016        PMID: 27033175     DOI: 10.1016/j.jbi.2016.03.021

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


  14 in total

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2.  The Virtuous Circles of Clinical Information Systems: a Modern Utopia.

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

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9.  The Effectiveness of Health Care Information Technologies: Evaluation of Trust, Security Beliefs, and Privacy as Determinants of Health Care Outcomes.

Authors:  Victoria Kisekka; Justin Scott Giboney
Journal:  J Med Internet Res       Date:  2018-04-11       Impact factor: 5.428

10.  Assessing the Effects of Information System Quality and Relationship Quality on Continuance Intention in E-Tourism.

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Journal:  Int J Environ Res Public Health       Date:  2019-12-25       Impact factor: 3.390

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