Nurses’ continuance intention to use electronic health record systems: The antecedent role of personality and organisation support

Nurses play a crucial role in the adoption and continued use of Electronic Health Records (EHRs), especially in developing countries. Existing literature scarcely addresses how personality traits and organisational support influence nurses' decision to persist with EHR use in these regions. This study developed a model combining the Five-Factor Model (FFM) and the Unified Theory of Acceptance and Use of Technology (UTAUT) to explore the impact of personality traits and organisational support on nurses' continuance intention to use EHR systems. Data were collected via a self-reported survey from 472 nurses across 10 public hospitals in Jordan and analyzed using a structural equation modeling approach (Smart PLS-SEM 4). The analysis revealed that personality traits, specifically Openness, Experience, and Conscientiousness, significantly influence nurses' decisions to continue using EHR systems. Furthermore, organisational support, enhanced by Performance Expectancy and Facilitating Conditions, positively affected their ongoing commitment to EHR use. The findings underscore the importance of considering individual personality traits and providing robust organisational support in promoting sustained EHR usage among nurses. These insights are vital for healthcare organisations aiming to foster a conducive environment for EHR system adoption, thereby enhancing patient care outcomes.

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Publication Details

Journal
PLoS ONE
Published
2024-10-03
DOI
https://doi.org/10.1371/journal.pone.0300657
Citations
5
Primary Topic
Technology Adoption and User Behaviour
Type
article
Field-Weighted Citation Impact
5.25

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article

Nurses’ continuance intention to use electronic health record systems: The antecedent role of personality and organisation support

Fahad Nasser Alhazmi, Abdalwali Lutfi, Nizar Alsubahi, Khalid Al‐Mugheed et al.
5 citations
PLoS ONE
Technology Adoption and User Behaviour
5.25
article

Nurses’ continuance intention to use electronic health record systems: The antecedent role of personality and organisation support

Fahad Nasser Alhazmi, Abdalwali Lutfi, Nizar Alsubahi, Khalid Al‐Mugheed, Mahmaod Alrawad, Rami J. Anshasi, Adi Alsyouf, Haitham Alali, Mohammed Amin Almaiah, Disha Sawhney
article en
5 citations

Abstract

Nurses play a crucial role in the adoption and continued use of Electronic Health Records (EHRs), especially in developing countries. Existing literature scarcely addresses how personality traits and organisational support influence nurses' decision to persist with EHR use in these regions. This study developed a model combining the Five-Factor Model (FFM) and the Unified Theory of Acceptance and Use of Technology (UTAUT) to explore the impact of personality traits and organisational support on nurses' continuance intention to use EHR systems. Data were collected via a self-reported survey from 472 nurses across 10 public hospitals in Jordan and analyzed using a structural equation modeling approach (Smart PLS-SEM 4). The analysis revealed that personality traits, specifically Openness, Experience, and Conscientiousness, significantly influence nurses' decisions to continue using EHR systems. Furthermore, organisational support, enhanced by Performance Expectancy and Facilitating Conditions, positively affected their ongoing commitment to EHR use. The findings underscore the importance of considering individual personality traits and providing robust organisational support in promoting sustained EHR usage among nurses. These insights are vital for healthcare organisations aiming to foster a conducive environment for EHR system adoption, thereby enhancing patient care outcomes.

PLoS ONEVol. 19(10)
Al-Hussein Bin Talal University (JO), University of Jordan (JO), Applied Science Private University (JO), Jordan University of Science and Technology (JO), King Abdulaziz University (SA), Jadara University (JO), University of Sharjah (AE), Riyadh Elm University (SA), Abu Dhabi Health Services (AE), Department of Health (TW), Temple University Health System (US), King Abdulaziz Hospital (SA), Department of Health Services (NP), King Faisal University (SA), Middle East University (JO)
King Abdulaziz University, King Faisal University, Care and Public Health Research Institute, Universiteit Maastricht
Partnerships for the goals
Openalex Percentile: Top 4%
Technology Adoption and User Behaviour
5.25
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