Intention of Continuing to use the Hospital Information System: Integrating the elaboration-likelihood, social influence and cognitive learning

Abstract

IntroductionAnticipating effective factors in information system acceptance by using persuasive messages, is one of the main issues less focused on so far. This is one of the first attempts at using the elaboration-likelihood model combined with the perception of emotional, cognitive, self-efficacy, informational and normative influence constructs, in order to investigate the determinants of intention to continue use of the hospital information system in Iran.MethodsThe present study is a cross-sectional survey conducted in 2014. 600 nursing staff were chosen from clinical sectors of public hospitals using purposive sampling. The questionnaire survey was in two parts: Part one was comprised of demographic data, and part two included 52 questions pertaining to the constructs of the model in the study. To analyze the data, structural equation model using LISREL 8.5 software was applied.ResultThe findings suggest that self-efficacy (t= 6.01, β= 0.21), affective response (t= 5.84, β= 0.23), and cognitive response (t= 4.97, β= 0.21) explained 64% of the variance for the intention of continuing to use the hospital information system. Furthermore, the final model was able to explain 0.46 for self-efficacy, 0.44 for normative social influence, 0.52 for affective response, 0.55 for informational social influence, and 0.53 for cognitive response.ConclusionDesigning the necessary mechanisms and effective use of appropriate strategies to improve emotional and cognitive understanding and self-efficacy of the nursing staff is required, in order to increase the intention of continued use of the hospital information system in Iran.

Theoretical integration of user satisfaction and technology acceptance of the nursing process information system

“…Extensive research has been conducted regarding the acceptance of and intention to use medical information technology [12–15]. Previous studies focused on certain characteristics of the behavioral intention regarding the use and acceptance of the information system by healthcare professionals [16, 17].…”

The The effect of quality factors of hospital information systems on patient satisfaction

“…The construction of perceived value to the user is caused by information quality, and this perceived value then affects the user's satisfaction (Yanuar and Ari, 2018). Several studies have previously confirmed the impact of information quality on patient satisfaction (Ho et al, 2019;Farzandipour et al, 2016). Further research revealed that HIS system quality is related to user (patient) satisfaction (Yu and Shih-Chieh, 2013;Maryam and Khaled, 2015;Gustavo and Antonio, 2015;Scheepers et al, 2006;Coombs et al, 2001;Teo and Wong, 1998).…”

Comparison of nursing diagnostic accuracy when aided by Knowledge-Based Clinical Decision Support Systems with Clinical Diagnostic Validity and Bayesian Decision Models for psychiatric care plan formulation among nursing students: a quasi-experimental study

“…Few studies have thoroughly evaluated the professional acceptance of or satisfaction with health information technology through assessment instruments or theoretical models, such as the Technology Acceptance Model 3 (TAM3) or the integrating service quality with system and information quality (3Q) model [ 24 , 57 ]. Extensive research has explored user perceptions of using medical information technology [ 9 , 58 – 62 ], which has still not been implemented.…”