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Influence of the Business Revenue, Recommendation, and Provider Models on Mobile Health App Adoption
- Source :
- JMIR mHealth and uHealth, 8(6):e17272. Journal of medical Internet Research, JMIR mHealth and uHealth, JMIR mHealth and uHealth, Vol 8, Iss 6, p e17272 (2020)
- Publication Year :
- 2020
- Publisher :
- Journal of medical Internet Research, 2020.
-
Abstract
- Background Despite the worldwide growth in mobile health (mHealth) tools and the possible benefits of mHealth for patients and health care providers, scientific research examining factors explaining the adoption level of mHealth tools remains scarce. Objective We performed an experimental vignette study to investigate how four factors related to the business model of an mHealth app affect its adoption and users’ willingness to pay: (1) the revenue model (ie, sharing data with third parties vs accepting advertisements); (2) the data protection model (General Data Protection Regulation [GDPR]-compliant data handling vs nonGDPR-compliant data handling); (3) the recommendation model (ie, doctor vs patient recommendation); and (4) the provider model (ie, pharmaceutical vs medical association provider). In addition, health consciousness, health information orientation, and electronic health literacy were explored as intrapersonal predictors of adoption. Methods We conducted an experimental study in three countries, Spain (N=800), Germany (N=800), and the Netherlands (N=416), to assess the influence of multiple business models and intrapersonal characteristics on the willingness to pay and intention to download a health app. Results The revenue model did not affect willingness to pay or intentions to download the app in all three countries. In the Netherlands, data protection increased willingness to pay for the health app (P Conclusions The finding that people want their data protected by legislation but are not willing to pay more for data protection suggests that in the context of mHealth, app privacy protection cannot be leveraged as a selling point. However, people do value a doctor recommendation and apps manufactured by a medical association, which particularly influence their intention to download an mHealth app.
- Subjects :
- Adult
Male
recommendation
020205 medical informatics
INFORMATION
Health Informatics
Context (language use)
Health literacy
Information technology
02 engineering and technology
COGNITIONS
03 medical and health sciences
0302 clinical medicine
Willingness to pay
Germany
Health care
0202 electrical engineering, electronic engineering, information engineering
Humans
Data Protection Act 1998
030212 general & internal medicine
ATTITUDES
health information orientation
mHealth
Netherlands
mobile apps
Original Paper
data protection
eHealth literacy
experiment
business.industry
self-monitoring
Advertising
CARE
T58.5-58.64
Mobile Applications
Telemedicine
health consciousness
Revenue model
Spain
General Data Protection Regulation
business model
mHealth adoption
Female
Public aspects of medicine
RA1-1270
business
Psychology
privacy paradox
Subjects
Details
- Language :
- English
- ISSN :
- 22915222
- Volume :
- 8
- Issue :
- 6
- Database :
- OpenAIRE
- Journal :
- JMIR mHealth and uHealth
- Accession number :
- edsair.doi.dedup.....b1a10f9d0373c3607148ef55acae2ced