Does Personality Matter When We Are Sick? An Empirical Study of the Role of Personality Traits and Health Emotion in Healthcare Technology Adoption Decision

Several studies reported disparities among patients in using healthcare technologies. Although some researchers cited demographic characteristics as possible factors responsible for these disparities, these factors alone may not provide a complete view of adoption issues. Thus, disparities among technology users remain a topic of interest to Health Informatics researchers. Although personality traits are important factors in influencing technology adoption behavior, its’ influence in healthcare technology adoption decision remains unknown. Moreover, individuals’ emotion related to their on-going health issues further complicate the situation. Specifically, the interaction effect between patients’ personality traits and health emotional state is an important and interesting research topic that is yet to be explored. This study proposes and empirically tests a conceptual model incorporating individuals’ personality traits and health emotional states in the context of patient portal use. The results suggest interesting finding – individual’s health emotion supersedes the influence of personality traits in healthcare technology adoption decision

Sustaining Patient Engagement: The Role of Health Emotion and Personality Traits in Patient Portal Continuous Use Decision

Healthcare providers increasingly rely on technology, such as patient portals, for asynchronous communication with their patients. Even though clinicians have increasingly adopted patient portals to enhance healthcare quality and reduce cost, few patients continue to use this technology. In this paper, we investigate the effect that individuals’ health emotion and personality traits as measured using the five-factor model (FFM) have on patients’ intention to continually use patient portals through the lens of emotional dissonance theory. We collected survey data from 187 patients at a major medical center in the Midwestern United States. After we analyzed the data using structural equation modeling, we found that the final model explained 40 percent of the variance in intention to continue to use. Our results suggest that whether individuals continue to use technology depends on their reactions to technology in which health emotions and personality traits play a crucial part. Additionally, health emotion modifies the effect that personality traits have on patients’ intention to continue to use a patient portal. Our study provides healthcare organizations with an integrated view of patient portal use behavior and shows that individual personality traits and health emotion may increase sustainable patient enrollment and engagement

Factors Affecting the Adoption of Telemedicine in Rural Areas of Bangladesh

Access to affordable and quality healthcare has been a public outcry in recent years across the globe. The situation is worse in some poverty-stricken developing countries. With technological advancements, such as telemedicine, some hopes and lights in darkness has begun to emerge. Many are looking into telemedicine as a promising technology for taking healthcare services to remote areas. However, there challenges, specifically lack of users’ interest has been a major setup for successful diffusion of this technology in developing countries. Existing technology-adoption literature provides little understanding of technology adoption factors in developing countries’ social structure context. This study tries to fill this void by proposing a theoretical model with factors derived from multiple theories in Information Systems discipline. We empirically tested our model using a survey study of 274 participants. We identified several promoting and impeding factors for individuals’ intention to use telemedicine services in the context of developing countries

Toward Systematic Identification of Stakeholders for Healthcare Information Systems: A Feature-Based Method

Healthcare Information Systems (HIS) are considered as a critical component for the operation of healthcare organizations. Successful adoption and diffusion of these systems require involvement and cooperation from stakeholders across different departments and business units. However, it is quite challenging to identify stakeholders in environments where inter-organizational structure is very complex involving various groups and sub-groups who, most often, have diverse and conflicting interests and views. Thus, identifying all relevant stakeholders is a critical and challenging task. Although stakeholder research has been around for well over two decades, few studies provide a systematic method for identifying stakeholders for specific information systems. Thus, there is a greater need for further research in this area. In this paper, we propose a new approach, a Feature-Based method, to identify relevant stakeholders for information systems in healthcare

Toward Understanding the Technology Trust Calculus in Healthcare: A Generation Z and Millennial View

Generation Z and Millennial comprise 50% of the American population and are considered the savviest users of Information Technology (IT). They are also critical beneficiaries of the transformation of healthcare processes and services enabled by IT. Increasingly, the capabilities to leverage digital healthcare depends on the richness of collected data. Consequently, it is imperative to understand the contextual factors that influence Millennial and Gen Z trust in healthcare IT to disclose personal health information. To address this question, we draw on social cognitive theory, social exchange theory, and privacy calculus framework to propose a healthcare technology trust calculus model. We validated it using a survey study collecting responses from 736 individuals. Findings indicate that although the concern of disclosing personal health information negatively influences trust in healthcare IT, organizational trust, perceived benefits, and risks of health information disclosure have a more substantial effect on it