Older Users’ Rejection of Mobile Health Apps a Case for a Stand-Alone Device?

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9194)

Abstract

Mobile health apps make up an enormous market in mobile phone app stores. These apps allow automatic measurement of vital parameters and transmission of data to the doctor. Older users often reject mobile health apps for various reasons. We investigate the influence of several user factors on the willingness to use a health app integrated in a mobile phone vs. a stand-alone device. Furthermore we look into the modality for data transmission and its influence on the overall acceptance. In a questionnaire study (n=245) we ask both healthy and chronically ill (heart disease and diabetes) for their preferences. Using multiple linear regression analysis we found that the motives to use such a device influence the preference for an integrated device four times more strongly than the participants age. Still, the older the users are the more they prefer a stand-alone device.

Keywords

Diabetes Heart disease User diversity Mobile phones Aging Technology acceptance 

Notes

Acknowledgments

We would like to thank the anonymous reviewers for their constructive comments on an earlier version of this manuscript. Thank you also to Firat Alagöz for his valuable research input. This work was funded by the RWTH Aachen University Graduate Scholarships.

References

  1. 1.
    Bloom, D.E., Canning, D.: Global demographic change: Dimensions and economic significance. Working Paper 10817, National Bureau of Economic Research. October 2004Google Scholar
  2. 2.
    Statistisches Bundesamt: Datenreport Deutschland 2011. Retrieved February 8th 2012, (2011). https://www.destatis.de/DE/Publikationen/Datenreport/Downloads/Datenreport2011.pdf?__blob=publicationFile
  3. 3.
    International Diabetes Federation (IDF): Annual report 2010. Technical report (2010)Google Scholar
  4. 4.
    Wild, S., Roglic, G., Green, A., Sicree, R., King, H.: Global prevalence of diabetes. Diabetes Care 27(5), 1047–1053 (2004)CrossRefGoogle Scholar
  5. 5.
    Roger, V.L., Go, A.S., Lloyd-Jones, D.M., et al.: Heart disease and stroke statistics-2011 update: a report from the american heart association. Circulation 123(4), e18–e19 (2011)CrossRefGoogle Scholar
  6. 6.
    Alagöz, F., Valdez, A.C, Wilkowska, W., Ziefle, M., Dorner, S., Holzinger, A.: From cloud computing to mobile internet, from user focus to culture and hedonism: the crucible of mobile health care and wellness applications. In: 2010 5th International Conference on Pervasive Computing and Applications (ICPCA), pp. 38–45, IEEE (2010)Google Scholar
  7. 7.
    Holzinger, A., Dorner, S., Födinger, M., Valdez, A.C., Ziefle, M.: Chances of increasing youth health awareness through mobile wellness applications. In: Leitner, G., Hitz, M., Holzinger, A. (eds.) USAB 2010. LNCS, vol. 6389, pp. 71–81. Springer, Heidelberg (2010) CrossRefGoogle Scholar
  8. 8.
    Joe, J., Demiris, G.: Older adults and mobile phones for health: a review. J. Biomed. Inform. 46(5), 947–954 (2013)CrossRefGoogle Scholar
  9. 9.
    Ramachandran, A., Pai, V.: Patient-centered mobile apps for chronic disease management, pp. 948–952 (2014)Google Scholar
  10. 10.
    Kollmann, A., Riedl, M., Kastner, P., Schreier, G., Ludvik, B.: Feasibility of a mobile phone-based data service for functional insulin treatment of type 1 diabetes mellitus patients. J. Med. Internet Res. 9(5) (2007)Google Scholar
  11. 11.
    Tani, S., Marukami, T., Matsuda, A., Shindo, A., Takemoto, K., Inada, H.: Development of a health management support system for patients with diabetes mellitus at home. J. Med. Syst. 34(3), 223–228 (2010)CrossRefGoogle Scholar
  12. 12.
    Lv, X., Guo, X., Xu, Y., Yuan, J., Yu, X.: Explaining the mobile health services acceptance from different age groups: a protection motivation theory perspective. Int. J. Advancements Comput. Technol. 4(3), 1–9 (2012)CrossRefGoogle Scholar
  13. 13.
    Hung, M.C., Jen, W.Y.: The adoption of mobile health management services: an empirical study. J. Med. Syst. 36(3), 1381–1388 (2012)CrossRefGoogle Scholar
  14. 14.
    Valdez, A.C., Ziefle, M., Horstmann, A., Herding, D., Schroeder, U.: Task performance in mobile and ambient interfaces. does size matter for usability of electronic diabetes assistants? In: 2010 International Conference on Information Society (i-Society), pp. 514–521. IEEE (2010)Google Scholar
  15. 15.
    Calero Valdez, A., Ziefle, M., Horstmann, A., Herding, D., Schroeder, U.: Effects of aging and domain knowledge on usability in small screen devices for diabetes patients. In: Holzinger, A., Miesenberger, K. (eds.) USAB 2009. LNCS, vol. 5889, pp. 366–386. Springer, Heidelberg (2009) CrossRefGoogle Scholar
  16. 16.
    Calero Valdez, A., Ziefle, M., Alagöz, F., Holzinger, A.: Mental models of menu structures in diabetes assistants. In: Miesenberger, K., Klaus, J., Zagler, W., Karshmer, A. (eds.) ICCHP 2010, Part II. LNCS, vol. 6180, pp. 584–591. Springer, Heidelberg (2010) CrossRefGoogle Scholar
  17. 17.
    Alagöz, F., Ziefle, M., Wilkowska, W., Valdez, A.C.: Openness to accept medical technology - a cultural view. In: Holzinger, A., Simonic, K.-M. (eds.) USAB 2011. LNCS, vol. 7058, pp. 151–170. Springer, Heidelberg (2011) CrossRefGoogle Scholar
  18. 18.
    Holzinger, A., Dorner, S., Födinger, M., Ziefle, M., Valdez, A.C.: Motivational features of a mobile web application promoting a healthy lifestyle. In: 24th BCS Conference on Human Computer Interaction, University of Abertay, Dundee, Scotland (2010)Google Scholar
  19. 19.
    Rashvand, H., Traver Salcedo, V., Montn Snchez, E., Iliescu, D.: Ubiquitous wireless telemedicine. IET Commun. 2(2), 237–254 (2008)CrossRefGoogle Scholar
  20. 20.
    Holzinger, A., Sommerauer, B., Spitzer, P., Juric, S., Zalik, B., Debevc, M., Lidynia, C., Valdez, A.C., Roecker, C., Ziefle, M.: Mobile computing is not always advantageous: lessons learned from a real-world case study in a hospital. In: Teufel, S., Min, T.A., You, I., Weippl, E. (eds.) CD-ARES 2014. LNCS, vol. 8708, pp. 110–123. Springer, Heidelberg (2014) Google Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Human-Computer Interaction CenterRWTH Aachen UniversityAachenGermany

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