Electronic Health Record Portals adoption: empirical model based on UTAUT2

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24 Citations (Scopus)


Background: The future of healthcare delivery is becoming more citizen centered, as today’s user is more active and better informed. Governmental institutions are promoting the deployment and use of online services such as Electronic Health Record (EHR) portals. This makes the adoption of EHR portals an important field to study and understand. Objective: The aim of this study is to understand the factors that drive individuals to adopt EHR portals. Methods: This study applies the extended unified theory of acceptance and usage technology (UTAUT2) to explain patients’ individual adoption of EHR portals. An online questionnaire was administered. We collected 386 valid responses. Results: The statistically significant drivers of behavioral intention are performance expectancy ((Formula presented.)=0.17; p < 0.01), effort expectancy ((Formula presented.)=0.17; p < 0.01), social influence ((Formula presented.)=0.10; p < 0.05), and habit ((Formula presented.)=0.37; p < 0.001). Habit ((Formula presented.)=0.28; p < 0.001) and behavioral intention ((Formula presented.)=0.24; p < 0.001) are the statistically significant drivers of technology use. The model explains 52% of the variance in behavioral intention and 31% of the variance in technology use. Conclusions: By testing an information technology acceptance model, we are able to determine what is more valued by patients when it comes to deciding whether to adopt EHR portals or not.

Original languageEnglish
Pages (from-to)109-125
Number of pages17
JournalInformatics for Health and Social Care
Issue number2
Early online date15 Oct 2017
Publication statusPublished - 2018


  • e-health
  • electronic health records
  • healthcare consumers
  • technology adoption
  • UTAUT2


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