Title: Patient perception of interactive mobile healthcare apps: a predictive model

Authors: Mattie Milner; Scott Winter; Rian Mehta; Stephen Rice; Matthew Pierce; Emily Anania; Karla Candelaria-Oquendo; Diego Garcia; Nathan Walters

Addresses: College of Arts and Sciences, Embry-Riddle Aeronautical University, 600 South Clyde Morris Blvd., Daytona Beach, FL, 32114, USA ' College of Aviation, Embry-Riddle Aeronautical University, 600 South Clyde Morris Blvd., Daytona Beach, FL, 32114, USA ' Florida Institute of Technology, 150 West University Blvd., Melbourne, FL, 32901, USA ' College of Arts and Sciences, Embry-Riddle Aeronautical University, 600 South Clyde Morris Blvd., Daytona Beach, FL, 32114, USA ' College of Arts and Sciences, Embry-Riddle Aeronautical University, 600 South Clyde Morris Blvd., Daytona Beach, FL, 32114, USA ' College of Arts and Sciences, Embry-Riddle Aeronautical University, 600 South Clyde Morris Blvd., Daytona Beach, FL, 32114, USA ' College of Arts and Sciences, Embry-Riddle Aeronautical University, 600 South Clyde Morris Blvd., Daytona Beach, FL, 32114, USA ' College of Arts and Sciences, Embry-Riddle Aeronautical University, 600 South Clyde Morris Blvd., Daytona Beach, FL, 32114, USA ' College of Arts and Sciences, Embry-Riddle Aeronautical University, 600 South Clyde Morris Blvd., Daytona Beach, FL, 32114, USA

Abstract: Many professionals connect with consumers through mobile app technology. It is no surprise that healthcare providers have explored this technology as a tool to reach patients. Despite increasing accessibility, 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 person's willingness to use this type of technology. Four hundred and five participants completed the study over two stages, including a hypothetical scenario using a mobile healthcare app and their willingness to use mobile healthcare applications. A backward stepwise regression analysis revealed two significant predictors: privacy concerns and likelihood to use the internet. Good model fit highlights the predictive power of the model on a new dataset. As technology becomes more prevalent, 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; healthcare; mobile apps; regression.

DOI: 10.1504/IJHTM.2021.119162

International Journal of Healthcare Technology and Management, 2021 Vol.18 No.3/4, pp.129 - 152

Accepted: 11 Jan 2020
Published online: 26 Nov 2021 *

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