pp 1-11 | Cite as

Online Health Technologies and Mobile Devices: Attitudes, Needs, and Future

  • Joanna Waligóra
  • Maria Magdalena Bujnowska–FedakEmail author
Part of the Advances in Experimental Medicine and Biology book series


Advances in mobile technology constitute a promising and evolving trend that enables better access to health care especially for the elderly, disabled, and chronically ill. It overcomes geographical, temporal, and organizational barriers at low and affordable costs. The aim of the study was to evaluate the needs and expectations of Polish citizens and their attitudes toward mobile health (mHealth) services using mobile phones and communication devices in medical care and also to evaluate the sociodemographic factors affecting such behavioral processes. A total of 1000 adults were selected from the Polish population by random sampling. The assessment was made with the use of computer-assisted telephone interview (CATI). Approximately 78% of the study participants were proficient mobile phone users with a predominance of young people. Forty-seven percent of them expressed the desire to obtain information about their health via their mobile phone if they had the opportunity to do so. Important factors associated with the aforementioned statement included younger age, being still in education, or unemployed. Among the mHealth supporters, the vast majority of people (84%) would like to receive SMS (short message service) reminders for appointments and prescribed medicines. Other favorable mHealth activities were e-registration (77.9%), viewing test results online (80.6%), or receiving basic medical recommendations (75.7%). Only 30% of the respondents had a positive attitude toward teleconsultation, while 17.8% of them were willing to pay for this option. Further research on emerging new and beneficial mHealth solutions needs to be conducted.


E-health Medical informatics Mobile health service Mobile phone Sociodemographic factors 



This article forms a part of national surveys on the use of the Internet and e-health services in Poland conducted by Wroclaw Medical University in Wroclaw, Poland (statutory activity ST.C290.17.040/2017). The authors would like to thank Tomasz Kujawa for his methodological and statistical help.

Conflicts of Interest

The authors declare no conflicts of interest in relation to this article.

Ethical Approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

Informed Consent

Respondents were provided with comprehensive information on the objectives and scope of survey and gave their informed consent. The survey was approved by the Bioethics Committee of Wroclaw Medical University in Poland.


  1. Berrouiguet S, Baca–García E, Brandt S, Walter M, Courtet P (2016) Fundamentals for future mobile–health (mHealth): a systematic review of mobile phone and web–based text messaging in mental health. J Med Internet Res 18(6):e:135Google Scholar
  2. Bhuyan SS, Lu N, Chandak A, Kim hM Wyant D, Bhatt J, Kedia S, Chang CF (2016) Use of mobile health applications for health–seeking behavior among US adults. J Med Syst 40(6):153Google Scholar
  3. Boulos MNK, Brewer AC, Karimkhani C, Buller DB, Dellavalle RP (2014) Mobile medical and health apps: state of the art, concerns, regulatory control and certification. Online J Public Health Inform 5(3):229Google Scholar
  4. Bujnowska–Fedak MM (2015) Trends in the use of the Internet for health purposes in Poland. BMC Public Health 15:194Google Scholar
  5. Business Wire (2014) worldwide smartphone shipments top one billion units for the first time, according to IDC. Accessed on 25 Oct 2018
  6. Carroll JK, Moorhead A, Bond R, LeBlanc WG, Petrella RJ, Fiscella K (2017) Who uses mobile phone health apps and does use matter? A secondary data analytics approach. J Med Internet Res 19(4):e125Google Scholar
  7. Dullabh PM, Sondheimer N, Katsh E, Evans MA (2014) How patients can improve the accuracy of their medical records. EGEMS 2(3):1080Google Scholar
  8. Ernsting C, Dombrowski SU, Oedekoven M, O Sullivan JL, Kanzler M, Kuhlmey A, Gellert P (2017) Using smartphones and health apps to change and manage health behaviors: a population–based survey. J Med Internet Res 19(4):e101Google Scholar
  9. Fjeldsoe BS, Marshall AL, Miller YD (2009) Behavior change interventions delivered by mobile telephone short–message service. Am J Prev Med 36(2):165–173Google Scholar
  10. Fox S, Duggan M (2012) Pew Research Center. Washington, DC: Pew Internet & American Life Project Mobile Health 2012. Accessed on 25 Oct 2018
  11. Gartner (2011) Gartner says worldwide mobile device sales to end users reached 1.6 billion units in 2010; Smartphone sales grew 72 percent in 2010. Accessed on 25 Oct 2018
  12. Gensini GR, Alderighi C, Rasoini R, Mazzanti M, Casolo G (2017) Value of telemonitoring and telemedicine in heart failure management. Card Fail Rev 3(2):116–121Google Scholar
  13. Kaambwa B, Ratcliffe J, Shulver W, Killington M, Taylor A, Crotty M, Carati C, Tieman J, Wade V, Kidd MR (2017) Investigating the preferences of older people for telehealth as a new model of health care service delivery: a discrete choice experiment. J Telemed Telecare 23(2):301–313Google Scholar
  14. Kannisto KA, Koivunen MH, Välimäki MA (2014) Use of mobile phone text message reminders in health care services: a narrative literature review. J Med Internet Res 16(10):e222Google Scholar
  15. Krebs P, Duncan DT (2015) Health app use among US mobile phone owners: a national survey. JMIR Mhealth Uhealth 3(4):e101Google Scholar
  16. Pew Research Center (2018) Mobile fact sheet. Accessed on 25 Oct 2018
  17. Prochaska JO, Norcross JC, DiClemente CC (1994) Changing for good. A revolutionary program that explains the six stages of change and teaches you how to free yourself from bad habits. William Morrow & Co, New York. ISBN: 9780380725724Google Scholar
  18. Schwebel FJ, Larimer ME (2018) Using text message reminders in health care services: a narrative literature review. Internet Interv 13:82–104Google Scholar
  19. Suslo R, Paplicki M, Dopierala K, Drobnik J (2018) Fostering digital literacy in the elderly as a means to secure their health needs and human rights in the reality of the twenty–first century. Fam Med Prim Care Rev 20(3):271–275Google Scholar
  20. Thirumurthy H, Lester RT (2012) M–health for health behaviour change in resource–limited settings: applications to HIV care and beyond. Bull World Health Organ 90:390–392Google Scholar
  21. van Houwelingen CT, Ettema RG, Antonietti MG, Kort HS (2018) Understanding older people’s readiness for receiving telehealth: mixed–method study. J Med Internet Res 20(4):e123Google Scholar
  22. Zhao P, Yoo I, Lavoie J, Javoie BJ, Simgoes E (2017) Web–based medical appointment systems: a systematic review. J Med Internet Res 19(4):e134Google Scholar
  23. Zickuhr K (2013) Who’s not online and why? Accessed on 25 Oct 2018
  24. Zocdoc (2015) New study: why Americans are dropping out of healthcare. Accessed on 26 Oct 2018

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Joanna Waligóra
    • 1
  • Maria Magdalena Bujnowska–Fedak
    • 1
    Email author
  1. 1.Department of Family MedicineWroclaw Medical UniversityWroclawPoland

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