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Nurses’ Readiness in the Adoption of Hospital Electronic Information Management Systems in Ghana: The Application of the Structural Equation Modeling and the UTAUT Model

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  • Zhou Lulin
  • Joseph Owusu-Marfo
  • Henry Asante Antwi
  • Maxwell Opuni Antwi
  • Xinglong Xu

Abstract

Electronic health record (EHR) systems have become a basic need in most health care facilities worldwide. However, little can be said about the developing nations’ use of it. Nevertheless, Ghana is one of the very few countries in Africa to start using EHRs. Nursing is a field that has been substantially influenced by the use of hospital electronic information management systems (HEIMS). More importantly, the successful implementation of any mHealth and EHRs critically depends on user acceptance. Therefore, as nurses in Ghana work at the frontline of the health care system in the country with access to vital records about the patients, it is important to assess what motivates them to use the system. This study applied a non-experimental survey design. An electronic platform questionnaire on smartphones was used to collect data on 660 nurses. Statistically, AMOS structural equation modeling (SEM) was employed to examine the research model. “Behavioral intention†(BI) to HEIMS use was significantly predicted by effort expectancy (EE) ( p

Suggested Citation

  • Zhou Lulin & Joseph Owusu-Marfo & Henry Asante Antwi & Maxwell Opuni Antwi & Xinglong Xu, 2020. "Nurses’ Readiness in the Adoption of Hospital Electronic Information Management Systems in Ghana: The Application of the Structural Equation Modeling and the UTAUT Model," SAGE Open, , vol. 10(2), pages 21582440209, June.
    • Handle: RePEc:sae:sagope:v:10:y:2020:i:2:p:2158244020931814
    DOI: 10.1177/2158244020931814
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    References listed on IDEAS

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    Cited by:

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    2. Meennapa Rukhiran & Napasorn Phaokla & Paniti Netinant, 2022. "Adoption of Environmental Information Chatbot Services Based on the Internet of Educational Things in Smart Schools: Structural Equation Modeling Approach," Sustainability, MDPI, vol. 14(23), pages 1-32, November.
    3. Peijie Jiang & Tommy Tanu Wijaya & Mailizar Mailizar & Zulfah Zulfah & Astuti Astuti, 2022. "How Micro-Lectures Improve Learning Satisfaction and Achievement: A Combination of ECM and Extension of TAM Models," Mathematics, MDPI, vol. 10(19), pages 1-19, September.

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