International Journal of Healthcare Technology and Management
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International Journal of Healthcare Technology and Management (2 papers in press)
Patient perception of interactive mobile healthcare apps: a predictive model by Mattie Milner, Scott Winter, Rian Mehta, Stephen Rice, Matthew Pierce, Emily Anania, Karla Candelaria-Oquendo, Diego Garcia, Nathan Walters Abstract: Many professionals connect with consumers through mobile app technology. It is then no surprise that healthcare providers have begun exploring this technology as a tool to reach their patients. Despite increasing accessibility, the willingness to use mobile technology, such as healthcare apps, can be affected by several different factors. This study aims to determine what factors predict a persons willingness to use this type of technology. Four hundred and five participants completed the study over two stages, which included a hypothetical scenario using a mobile healthcare app and a survey identifying their willingness to use, knowledge of, and privacy concerns regarding mobile healthcare applications. A backward stepwise regression analysis revealed two significant predictors: privacy concerns and likelihood to use the internet. There was good model fit, highlighting the predictive power of the regression model on a new dataset. As technology becomes more prevalent among consumer e-health options, this research may help key stakeholder groups, such as healthcare providers, doctors, and patients, better understand patients willingness to use mobile health applications.
Keywords: e-health; willingness to use; privacy; health care; mobile apps; regression.
Examining Taiwans national health insurance website quality and customers loyalty by Jengchung Victor Chen, Timothy McBush Hiele, Mei-Tsui Lin Abstract: The favourable impact on the assessment of website quality and response from customers can explain and justify the manifestation and significance of an online healthcare platform. This study applies the information systems (IS) success model and technology acceptance model (TAM) to assess Taiwans bureau of national health insurance (BNHI) online platform. In particular, this study presents and empirically tests the research framework by using a SmartPLS path analysis through the use and validation of Taiwans BNHI customers feedback. Overall, this study sheds light on the value and importance of a medical institution and/or organisation to offer better and quality information technology (IT) platform that can serve and retain its loyal customers. Keywords: customer loyalty; e-government; IS success model; Taiwan national health insurance; website quality.