CONSUMER INTEREST IN ADOPTING AN ELECTRONIC HEALTH RECORD (EHR) MOBILE APPLICATION BASED ON THE RISK THAT IDENTIFIABLE INFORMATION IS LEAKED

Author(s)

Wasserman D, Claeys C, Radley C, Tomaszewski K
KJT Group, Inc., Honeoye Falls, NY, USA

OBJECTIVES:  This study was designed to understand consumer interest in a mobile application designed to allow individuals to view their personal health record on a mobile device, and to share their health records with someone else if they choose. As a secondary objective, this study evaluated the likelihood of consumers to use the device based on the varying risk of a leak of their identifiable information (risk tolerance). METHODS:  A representative (U.S.) sample of 1,000 adults completed an online survey about their interest in an EHR mobile application. Interest in the application was elucidating using a 7-point Likert scale and a standard gamble (SG) exercise. RESULTS:  Prior to any indication of a potential privacy risk, 31% of consumers indicate they would be very likely to download an EHR mobile application (rated 6 or 7 on 7-point Likert scale; 4.0 mean). Nearly half (44%) of those who do not expect to use the app indicate they have privacy concerns. Based on the SG, only 50% report they would download the mobile application if there was a 95% chance their data was completely secure. Expected use of the application declines rapidly; 39% would use it if there was a 90% chance their data was completely secure and 31% would use it if there was an 85% chance their data was completely secure. Only 3% are still interested in the application with only a 5% chance their data was completely secure. CONCLUSIONS:  There is a sizeable market for EHR mobile applications. Up to half of consumers report interest in using an EHR mobile application; and yet, there are important data concerns. Particularly given large-scale data breaches of large organizations, it will be critical for developers to quell fears of potential users of a data leak.

Conference/Value in Health Info

2015-11, ISPOR Europe 2015, Milan, Italy

Value in Health, Vol. 18, No. 7 (November 2015)

Code

PHP243

Topic

Health Technology Assessment

Topic Subcategory

Decision & Deliberative Processes

Disease

Multiple Diseases

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