Authors:Elena Smirnova1;Niklas Eriksson1 andAsle Fagerstrøm2
Affiliations:1Arcada University of Applied Sciences, Jan-Magnus Janssons Plats 1, 00420 Helsinki, Finland;2Kristiania University College, Prinsens Gate 7-9, 0152 Oslo, Norway
Keyword(s):Adoption and Use of Technology, Mobile Applications, eHealth, Experienced Users, Qualitative Study.
Abstract:Mobile health-related applications (apps) such as physical activity apps and diet apps can help users to implement a more active and healthier lifestyle. This qualitative study investigates experienced users’ triggers to initially download mobile health apps, the drivers that keep them using these types of apps, and the barriers that hinder them from an extended engagement with the apps. Thirteen factors were inductively identified and matched with constructs in theories of technology adoption and use. Also, results from previous studies on mobile health apps were used in the discussion. Life situation, Relevant statistics, and Perceived satisfaction with first health app were identified as initial triggers. Price value, Simplicity, Personalisation, Guidance and Progress based on data, Flexibility, and Social encounters were identified as drivers for continuous use. Perceived risk of personal data, Time-consumption, Limited understanding of health data and Adaption to new routines were identified as barriers for greater engagement with the apps. Managerial implications and further research are also discussed.(More)
Mobile health-related applications (apps) such as physical activity apps and diet apps can help users to implement a more active and healthier lifestyle. This qualitative study investigates experienced users’ triggers to initially download mobile health apps, the drivers that keep them using these types of apps, and the barriers that hinder them from an extended engagement with the apps. Thirteen factors were inductively identified and matched with constructs in theories of technology adoption and use. Also, results from previous studies on mobile health apps were used in the discussion. Life situation, Relevant statistics, and Perceived satisfaction with first health app were identified as initial triggers. Price value, Simplicity, Personalisation, Guidance and Progress based on data, Flexibility, and Social encounters were identified as drivers for continuous use. Perceived risk of personal data, Time-consumption, Limited understanding of health data and Adaption to new routines were identified as barriers for greater engagement with the apps. Managerial implications and further research are also discussed.