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Usability Evaluation of Blood Glucose Meters for Elderly Diabetic Patients

  • Peter RascheEmail author
  • Pilsung Choe
  • Sabine Theis
  • Matthias Wille
  • Christina Bröhl
  • Lea Finken
  • Stefan Becker
  • Christopher M. Schlick
  • Alexander Mertens
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9741)

Abstract

In the context of this study the usability of the first blood glucose meter that is connectable to a smartphone has been investigated by the use through diabetic patients of different ages and with different technical experiences. According to DIN ISO 2028-1 the participants had to solve usability-tasks with the think-aloud-method. Additionally the cognitive load has been measured for each task. As control variables we asked for age and gender as well as technical affinity and Health Literacy. A total of 12 participants (mean age = 60.17 years) took part in this study. The results show that elderly diabetic patients are willing and able to use modern blood glucose meters. A blood glucose meter for elderly should store data for about three months and should be able to export data easily to the physician by a file type like CSV. The blood glucose testing strip should have a mark which describes the orientation and way it should be inserted into the blood glucose meter. The testing strip should also be illuminated to improve blood glucose measurements during nighttime.

Keywords

Acceptance Elderly people Usability Healthcare Mental demand 

Notes

Acknowledgement

We would like to thank all participants, the company mySugr GmbH for the provision of the examined iBG-Star blood glucose meters and the Sanofi-Aventis Deutschland GmbH for the provided blood testing stripes. This publication is part of the research project ‘TECH4AGE’, financed by the Federal Ministry of Education and Research (BMBF, FKZ 16SV7111) and promoted by VDI/VDE Innovation + Technik GmbH.

References

  1. 1.
    Aguiree, F., Brown, A., Cho, N.H., Dahlquist, G., Dodd, S., Dunning, T., Hirst, M., Hwang, C., Magliano, D., Patterson, C.: IDF diabetes atlas [Online] (2013)Google Scholar
  2. 2.
    Girlich, C., Hoffmann, U., Bollheimer, C.: Behandlung des Typ-2-Diabetes beim alten Patienten. Der Internist 55(7), 762–768 (2014). doi: 10.1007/s00108-014-3466-1 CrossRefGoogle Scholar
  3. 3.
    Zeyfang, A., Bahrmann, A., Wernecke, J.: Diabetes mellitus im alter. Diabetol. Stoffwechsel 8(S 02), S200–S206 (2013)CrossRefGoogle Scholar
  4. 4.
    Free, C., Phillips, G., Watson, L., Galli, L., Felix, L., Edwards, P., Patel, V., Haines, A.: The effectiveness of mobile-health technologies to improve health care service delivery processes: a systematic review and meta-analysis. PLoS Med. 10(1), e1001363 (2013)CrossRefGoogle Scholar
  5. 5.
    Kim, H.-S., Choi, W., Baek, E.K., Kim, Y.A., Yang, S.J., Choi, I.Y., Yoon, K.-H., Cho, J.-H.: Efficacy of the smartphone-based glucose management application stratified by user satisfaction. Diabetes Metab. J. 38(3), 204–210 (2014)CrossRefGoogle Scholar
  6. 6.
    El-Gayar, O., Timsina, P., Nawar, N., Eid, W.: Mobile applications for diabetes self-management: status and potential. J. Diabetes Sci. Technol. 7(1), 247–262 (2013)CrossRefGoogle Scholar
  7. 7.
    Leck, T.: Im Erstkontakt Gewinnen Worum Es in Sekunden Geht. Springer Fachmedien, Wiesbaden (2012)CrossRefGoogle Scholar
  8. 8.
    Zijlstra, F.: Efficiency in work behaviour: a design approach for modern tools. Ph.D. thesis, TU Delft, Delft University of Technology, Soesterberg (1993)Google Scholar
  9. 9.
    Sauro, J., Lewis, J.R.: Quantifying the User Experience: Practical Statistics for User Research. Elsevier, Philadelphia (2012)Google Scholar
  10. 10.
    Jay, G.M., Willis, S.L.: Influence of direct computer experience on older adults’ attitudes toward computers. J. Gerontol. 47(4), P250–P257 (1992)CrossRefGoogle Scholar
  11. 11.
    Hls-Eu Consortium. Comparative report of health literacy in eight EU member states. The European Health Literacy Survey HLS-EU [Online] (2012)Google Scholar
  12. 12.
    Calero Valdez, A.: Technology acceptance and diabetes. User centered design of small screen devices for diabetes patients, 1. Aufl; Dissertationen/HCI Center der RWTH Aachen 1, Apprimus-Verl, Aachen (2014)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Peter Rasche
    • 1
    Email author
  • Pilsung Choe
    • 2
  • Sabine Theis
    • 1
  • Matthias Wille
    • 1
  • Christina Bröhl
    • 1
  • Lea Finken
    • 1
  • Stefan Becker
    • 3
  • Christopher M. Schlick
    • 1
  • Alexander Mertens
    • 1
  1. 1.Chair and Institute of Industrial Engineering and Ergonomics of RWTH AachenAachenGermany
  2. 2.Qatar UniversityDohaQatar
  3. 3.University Hospital EssenEssenGermany

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