Exploring the Influence of Users' Characteristics in Continuance Intention to Use Electronic Medical Records (EMR): Extending the Expectation Confirmation Model (ECM).
- Resource Type
- Academic Journal
- Authors
- Meidani Z; Health Information Management Research Center, Kashan University of Medical Sciences, Kashan, Iran.; Department of Health Information Management & Technology, Kashan University of Medical Sciences, Kashan, Iran.; Mohammadian H; Department of Health Education and Health Promotion, Ahvaz University of Medical Sciences, Ahvaz, Iran.; Mobaraki F; Health Information Management Research Center, Kashan University of Medical Sciences, Kashan, Iran.; Swoboda W; DigiHealth Institute, Neu-Ulm University of Applied Sciences, Neu-Ulm, Germany.; Moosavi GA; Department of Biostatistics and Epidemiology Kashan University of Medical Sciences, Kashan, Iran.; Zare S; Health Information Management Research Center, Kashan University of Medical Sciences, Kashan, Iran.
- Source
- Publisher: IOS Press Country of Publication: Netherlands NLM ID: 9214582 Publication Model: Print Cited Medium: Internet ISSN: 1879-8365 (Electronic) Linking ISSN: 09269630 NLM ISO Abbreviation: Stud Health Technol Inform
- Subject
- Language
- English
Even though the "user characteristics" (UC) can influence "acceptance" and "the continuance intention to use" of information systems such as electronic medical records (EMR), the effect of UC has not been adequately evaluated in post-adoption models. This study seeks to examine the effect of UC on post-usage of EMR using the expectation confirmation model (ECM). A total of 450 questionnaires was collected by a survey to extend ECM by integrating UC using structural equation modeling (SEM). Data were analyzed using LISREL through confirmatory factor analysis. A path analysis test was also performed to fit and confirm the model fit. The UC affects the "confirmation of expectations" directly and the "continuance intention to use" indirectly. The findings of the present study can provide a new path for further research on the extending of the ECM model. Moreover, end users' characteristics should be considered in the preparation and training phases of EMR implementation.