Senior Citizens’ Views of Using Medical Technologies – Case Study in Central Europe

  • Petra Maresova
  • Jaroslav KacetlEmail author
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 448)


The aim of this paper is to specify the seniors’ attitudes towards modern technology as a tool for improving the quality of life in case of chronic disorders. The research is conducted in the Czech Republic. This study employs the analysis of both primary and secondary data. Primary data was collected through a questionnaire survey among senior citizens living in the Czech Republic. 170 questionnaires were distributed, 112 of which were returned and processed. The source of secondary data was the Czech Statistical Office. The case study done in the Czech Republic showed that local patients’ attitude to modern technologies is rather positive. 86% of respondents use personal computers and 32% wield smart phones. Patients tend to be hesitant only concerning the utilization of smart household appliances, which would be welcome by 44% of the respondents and only 26% of them agreed strongly.


Senior citizen Medical technologies Survey Central Europe - Czech Republic 



This paper is published thanks to the support of the internal projects of University of Hradec Kralove. In addition, the authors thank Bohdana Kasparova for her help with the research.


  1. 1.
    Maresova, P., Mohelska, H., Kuca, K.: Social and family load of Alzheimer’s disease. Appl. Econ. 48, 1936–1948 (2015). doi: 10.1080/00036846.2015.1111986 CrossRefGoogle Scholar
  2. 2.
    Maresova, P., Mohelska, H., Dolejs, J., Kuca, K.: Socio-economic aspects of Alzheimer’s disease. Curr. Alzheimer Res. 12(9), 903–911 (2015)CrossRefGoogle Scholar
  3. 3.
    WHO: Depression. Key facts (2016). 27 February 2016)
  4. 4.
    Li, K.F.: Smart home technology for telemedicine and emergency management. J. Amb. Intell. Humaniz. Comput. 4(5), 535–546 (2012). doi: 10.1007/s12652-012-0129-8 CrossRefGoogle Scholar
  5. 5.
    Reiss, A., Stricker, D.: Aerobic activity monitoring: towards a long-term approach. Univ. Access Inf. Soc. 13(1), 101–114 (2014). doi: 10.1007/s10209-013-0292-5 CrossRefGoogle Scholar
  6. 6.
    Wootton, R., Bahaadinbeigy, K., Hailey, D., Taniguchi, E.: Estimating travel reduction associated with the use of telemedicine by patients and healthcare professionals: proposal for quantitative synthesis in a systematic review. BMC Health Serv. Res. 11, 185 (2011). doi: 10.1186/1472-6963-11-185 CrossRefGoogle Scholar
  7. 7.
    White, G., Caine, K., Connelly, K., et al.: Designing consumer health technologies for the treatment of patients with depression: a health practitioner’s perspective. Interact. J. Med. Res. 3(1), e2 (2014)CrossRefGoogle Scholar
  8. 8.
    Kramer, L.T., Owen, R.R., Wilson, C., Thrush, C.R.: Relationship between self-report and clinician-rated impairment in depressed outpatients. Commun. Ment. Health J. 39(4), 299–307 (2003)CrossRefGoogle Scholar
  9. 9.
    Topolovec-Vranic, J., Zhang, S., Wong, H., et al.: Canadian brain injury and violence research team. PLoS One 10(11), e0141699 (2015). doi: 10.1371/journal.pone.0141699 CrossRefGoogle Scholar
  10. 10.
    Rychtaříková, J.: Successful aging 21st century. Demography 44(1), 43–46 (2002)Google Scholar
  11. 11.
    CSO (Czech Statistical Office): Homepage on the internet (2014).
  12. 12.
    Seto, E., Leonard, K.J., Masino, C., Cafazzo, J.A., Barnsley, J., Ross, H.J.: Attitudes of heart failure patients and healthcare providers towards mobile phone-based remote monitoring. Med. Internet Res. 12(4), e55 (2010)CrossRefGoogle Scholar
  13. 13.
    McGillicuddy, J.D., Weiland, A.K., Frenzel, R.M.: Patient attitudes toward mobile phone-based health monitoring: questionnaire study among kidney transplant recipients. J. Med. Internet Res. 15(1), e6 (2013)CrossRefGoogle Scholar
  14. 14.
    Mudano, A.S., Gary, L.C., Oliveira, A.L., et al.: Using tablet computers compared to interactive voice response to improve subject recruitment in osteoporosis pragmatic clinical trials: feasibility, satisfaction, and sample size. Patient Prefer. Adherence. 7, 517–523 (2013). doi: 10.2147/PPA.S44551 CrossRefGoogle Scholar
  15. 15.
    Liu, F., Zou, Y., Huang, Q., et al.: Electronic health records and improved nursing management of chronic obstructive pulmonary disease. Patient Prefer. Adherence 9, 495–500 (2015). doi: 10.2147/PPA.S76562 CrossRefGoogle Scholar
  16. 16.
    Lang, A.R., Martin, J.L., Sharples, S., et al.: Medical device design for adolescent adherence and developmental goals: a case study of a cystic fibrosis physiotherapy device. Patient Prefer. Adherence 8, 301–309 (2014). doi: 10.2147/PPA.S59423 CrossRefGoogle Scholar
  17. 17.
    Gratner: Homepage on the internet. Strategic-technology-trends (2015).–strategic-technology-trends. Accessed 14 Dec 2015

Copyright information

© Springer Nature Singapore Pte Ltd. 2017

Authors and Affiliations

  1. 1.Faculty Informatics and ManagementUniversity of Hradec KraloveHradec KraloveCzech Republic

Personalised recommendations