Using a modified technology acceptance model in hospitals.

Int J Med Inform

Production and Management Engineering Department, Democritus University of Thrace, Library Building, Kimmeria, 67100 Xanthi, Greece.

Published: February 2009

Purpose: The use of information technology in the health care sector and especially in hospitals offers great potential for improving the quality of services provided and the efficiency and effectiveness of the personnel, but also for reducing the organizational expenses. However, the main question that arises according to the literature is whether hospital personnel are willing to use state of the art information technology while performing their tasks. This study attempts to address this issue by developing and testing a modified technology acceptance model taking into consideration other relevant models found in the literature.

Method: The original TAM has been extended to include some exogenous variables in order to examine HIS acceptance by Greek hospital personnel. Correlation, explanatory and confirmation factor analysis was performed to test the reliability and validity of the measurement model. The structural equation modeling technique has also been used to evaluate the causal model.

Results: The results indicate that perceived usefulness, ease of use, social influence, attitude, facilitating conditions and self-efficacy significantly affect hospital personnel behavioral intention. Training has a strong indirect impact on behavioral intention through the mediators of facilitating condition and ease of use. Furthermore, the existence of significant positive effects between self-efficacy and social influence, perceived usefulness and anxiety, and facilitating conditions and social influence is also supported.

Conclusions: The proposed model can explain 87% of the variance of behavioral intention indicating that the core constructs of the technology acceptance models have a strong and statistically significant influence on hospital personnel usage intention.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.ijmedinf.2008.06.006DOI Listing

Publication Analysis

Top Keywords

hospital personnel
16
technology acceptance
12
social influence
12
behavioral intention
12
modified technology
8
acceptance model
8
facilitating conditions
8
personnel
5
acceptance
4
model
4

Similar Publications

Background: The transition from military service to civilian life presents a variety of challenges for veterans, influenced by individual factors such as premilitary life, length of service, and deployment history. Mental health issues, physical injuries, difficulties in relationships, and identity loss compound the reintegration process. To address these challenges, various face-to-face and internet-based programs are available yet underused.

View Article and Find Full Text PDF

Background: This study aimed to enhance the scope of neonatal congenital heart disease (CHD) screening by evaluating the effectiveness of training personnel in CHD screening using the "dual-index" method, combining pulse oximetry with cardiac murmur auscultation.

Methods: From 2019 to 2022, a total of 2374 screening personnel from the Xinjiang, Yunnan, Hainan, Fujian, and Anhui provinces underwent training in neonatal CHD screening using the "dual-index" method, which involves pulse oximetry and cardiac murmur auscultation. Pre- and post-training assessments were conducted using a neonatal CHD screening knowledge questionnaire, distributed through the Questionnaire Star platform, to evaluate the impact of the training.

View Article and Find Full Text PDF

Aim: To explore the influence of emotional intelligence and organisational commitment (OC) on clinical nurses' turnover intention (TI) and to provide intervention strategies to reduce the turnover rate of nursing staff and maintain the stability of the nursing team.

Design: A cross-sectional descriptive study was conducted with nurses (n = 452) in a tertiary hospital in Kaifeng City, Henan Province, China.

Methods: The project was conducted in July 2023.

View Article and Find Full Text PDF

Aim: To investigate the sleep quality and its influencing factors among nurses in hospitals in Zhejiang, China, during the first explosive COVID-19 outbreak following the relaxation of prevention and control measures.

Design: A multicentre cross-sectional study.

Methods: Between 10 January and 20 January 2023-approximately 1 month after the policy was loosened-a total of 573 nurses from tertiary and community hospitals in Zhejiang participated in an online, self-administered survey.

View Article and Find Full Text PDF

Objective: There is a lack of studies investigating the safety of combination regimens specifically for cardiovascular and cerebrovascular diseases. This study aimed to evaluate the safety of combination drugs for cardiovascular and cerebrovascular diseases using real-world data.

Methods: We analyzed adverse drug reaction data received by the Hubei Adverse Drug Reaction Center from the first quarter of 2014 to the fourth quarter of 2022.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!