Digital and physical factors influencing an individual's preventive behavior during the COVID-19 pandemic in Taiwan: A perspective based on the S-O-R model.

COVID-19 has caused considerable stress to individuals and communities. Daily press briefings on public health during the COVID-19 pandemic have increased individuals' feelings of social pressure. Abrupt changes to a person's immediate environment, such as the changes caused by COVID-19, can substantially affect their mental health and cognitive adjustment. On the basis of the stimulus-organism-response (S-O-R) framework, we examined the effects of digital and physical stimuli related to COVID-19 in Taiwan on individuals' psychological states and preventive behavior, including social distancing and personal hygiene. The data obtained from 498 valid survey questionnaires indicated that digital and physical factors including informativeness, social pressure, and severity exerted direct effects on cognitive assimilation and anxiety, which in turn affected individuals' preventive behavior. Moreover, cognitive assimilation and anxiety had significant mediating effects on the relationships of informativeness, social pressure, and severity with individuals' preventive behavior. The results of this study indicate how digital and physical stimulus factors affect cognitive assimilation and anxiety, which influence preventive behavior during a pandemic.

Healthcare technology management competency and its impacts on IT-healthcare partnerships development.

OBJECTIVE: This study presents a conceptual model to investigate the healthcare technology management (HTM) competency required by healthcare IS professionals and the impact of such competency in gaining strategic advantages through information technology (IT) by development of partnerships with people from different divisions of healthcare organizations. METHODS: First, a scale to measure HTM competency was developed and validated, then it was used to collect the large-scale survey data. Second, the partial least squares (PLS) method was used to empirically test the conceptual model and hypotheses through the large-scale survey data collected. RESULTS: The empirical results support the proposed structure for HTM competency encompassing the four skills/knowledge domains: healthcare organization overview, external knowledge networking, healthcare technology integration, and management and interpersonal. The findings indicate that HTM competency positively influences the attitudes of information system (IS) professionals towards their willingness to develop partnerships with healthcare professionals. CONCLUSIONS: The findings improve our understanding of the concept of HTM competency and its influence on IT-healthcare partnerships. The conceptual model of HTM is of particular value to those concerned with skills/knowledge training and competency development for IS professionals in healthcare organizations. Healthcare organizations can develop HTM profiles for individual IS professionals in accordance with their own organization contexts. Executive management can take advantage of such HTM profiles to assist in making succession-planning decisions by evaluating the competency levels and development needs of their employees.

Testing the technology acceptance model for evaluating healthcare professionals' intention to use an adverse event reporting system.

BACKGROUND: Many healthcare organizations have implemented adverse event reporting systems in the hope of learning from experience to prevent adverse events and medical errors. However, a number of these applications have failed or not been implemented as predicted. OBJECTIVE: This study presents an extended technology acceptance model that integrates variables connoting trust and management support into the model to investigate what determines acceptance of adverse event reporting systems by healthcare professionals. METHOD: The proposed model was empirically tested using data collected from a survey in the hospital environment. A confirmatory factor analysis was performed to examine the reliability and validity of the measurement model, and a structural equation modeling technique was used to evaluate the causal model. RESULTS: The results indicated that perceived usefulness, perceived ease of use, subjective norm, and trust had a significant effect on a professional's intention to use an adverse event reporting system. Among them, subjective norm had the most contribution (total effect). Perceived ease of use and subjective norm also had a direct effect on perceived usefulness and trust, respectively. Management support had a direct effect on perceived usefulness, perceived ease of use, and subjective norm. CONCLUSION: The proposed model provides a means to understand what factors determine the behavioral intention of healthcare professionals to use an adverse event reporting system and how this may affect future use. In addition, understanding the factors contributing to behavioral intent may potentially be used in advance of system development to predict reporting systems acceptance.

Management development: a study of nurse managerial activities and skills.

This study discusses an activity competency model that may be used to investigate the perceived importance of managerial activities and skills required by three levels of nurse managers (top, middle, and supervisory management). Our findings indicate that the importance of nurse managerial activities differs significantly according to the level of nurse management. A set of critical managerial activities and skills/knowledge needs for each level of nurse managers was identified in the study. These findings provide guidelines for nursing-management development programs, training, and career planning. They also can serve as a guideline for recruiting and selecting an effective nurse manager.

Mobile computing acceptance factors in the healthcare industry: a structural equation model.

OBJECTIVE: This paper presents a revised technology acceptance model to examine what determines mobile healthcare systems (MHS) acceptance by healthcare professionals. METHOD: Conformation factor analysis was performed to test the reliability and validity of the measurement model. The structural equation modeling technique was used to evaluate the causal model. RESULTS: The results indicated that compatibility, perceived usefulness and perceived ease of use significantly affected healthcare professional behavioral intent. MHS self-efficacy had strong indirect impact on healthcare professional behavioral intent through the mediators of perceived usefulness and perceived ease of use. Yet, the hypotheses for technical support and training effects on the perceived usefulness and perceived ease of use were not supported. CONCLUSION: This paper provides initial insights into factors that are likely to be significant antecedents of planning and implementing mobile healthcare to enhance professionals' MHS acceptance. The proposed model variables explained 70% of the variance in behavioral intention to use MHS; further study is needed to explore extra significant antecedents of new IT/IS acceptance for mobile healthcare. Such as privacy and security issue, system and information quality, limitations of mobile devices; the above may be other interesting factors for implementing mobile healthcare and could be conducted by qualitative research.

Revolution or evolution? An analysis of E-health innovation and impact using a hypercube model.

This study utilises a hypercube innovation model to analyse the changes in both healthcare informatics and medical related delivery models based on the innovations from Tele-healthcare, electronic healthcare (E-healthcare), to mobile healthcare (M-healthcare). Further, the critical impacts of these E-health innovations on the stakeholders: healthcare customers, hospitals, healthcare complementary providers and healthcare regulators are identified. Thereafter, the critical capabilities for adopting each innovation are discussed.

Managerial activities and skills of nurse managers: an exploratory study.

In this study, the authors used the activity competency model (Wu, Chen, and Lin 2004) to investigate the perceived importance of managerial activities and skills required of three levels of nurse managers. They identify the portfolio of the management activities and the needed skills at each management level. The results of this study provide guidelines for management development programs, training, and career planning for nurse managers, and can also serve as guidelines for recruiting and selecting effective nurse managers.