Research Article
BibTex RIS Cite

Usability of Mobile Health Application for Individuals with Type 2 Diabetes Mellitus and Clinicians

Year 2020, Volume: 10 Issue: 1, 54 - 59, 24.03.2020
https://doi.org/10.33808/clinexphealthsci.599548

Abstract



Objective: Usability of technological devices is an important and relevant construct as mobile technologies are increasingly used to deliver healthcare products. Most accessible devices are smartphone and smartwatch but information on their usability is scarce. The aim of this study is to compare the usability of smartphone and smartwatch devices in delivering an exercise platform to individuals with Type 2 Diabetes Mellitus (T2DM) among two focus groups: individuals with T2DM and clinicians.

Methods: A total of 40 individuals with T2DM (focus group 1) and 20 clinicians (focus group 2) were recruited to use the platforms one week. Each focus group was randomly divided into: smartphone and smartwatch groups. Each participant was provided with a practice trial for a week before data collection. Usability of both devices was measured with System Usability Scale (SUS). Student t-test was used to compare the total and subscale scores of SUS between two devices in each focus group.

Results: In focus group 1 and 2, the mean total scores of SUS were slightly higher in smartphone group (88,75 9,34 and 86,75 8,68 ) than smartwatch group (87,87 7.56 and 82,35 6,59) respectively. When compared to individual items, three items were statistically significant in focus group 1 and one in focus group 2 (p 0.05).

Conclusion:This study demonstrates a high usability (SUS score>80,8) for both smartphone and smartwatch devices in individuals with T2DM and clinicians. When compared between devices for two groups, exercise platform delivered through smartphone performed better on usability than smartwatch for both individuals with T2DM and clinicians.


Supporting Institution

TÜBİTAK

Project Number

1059B141800431

Thanks

This study supported by the Scientific and Technological Research Council of Turkey (TUBITAK). We are sincerely grateful to TUBITAK 2214-A-2018/1.

References

  • Referans1. Cho, N., et al., IDF Diabetes Atlas: Global estimates of diabetes prevalence for 2017 and projections for 2045. Diabetes research and clinical practice, 2018. 138: p. 271-281.
  • Referans2. Davies, M.J., et al., Management of hyperglycaemia in type 2 diabetes, 2018. A consensus report by the American Diabetes Association (ADA) and the European Association for the Study of Diabetes (EASD). Diabetologia, 2018. 61(12): p. 2461-2498.
  • Referans3. Colberg, S.R., et al., Physical activity/exercise and diabetes: a position statement of the American Diabetes Association. Diabetes care, 2016. 39(11): p. 2065-2079.
  • Referans4. Morrato, E.H., et al., Physical activity in US adults with diabetes and at risk for developing diabetes, 2003. Diabetes care, 2007. 30(2): p. 203-209.
  • Referans5. Hunt, C.W., Technology and diabetes self-management: an integrative review. World journal of diabetes, 2015. 6(2): p. 225.
  • Referans6. Sanders, J.P., et al., Devices for self-monitoring sedentary time or physical activity: a scoping review. Journal of medical Internet research, 2016. 18(5): p. e90.
  • Referans7. Shah, V.N. and S.K. Garg, Managing diabetes in the digital age. Clinical Diabetes and Endocrinology, 2015. 1(1): p. 16.
  • Referans8. Schoeppe, S., et al., Efficacy of interventions that use apps to improve diet, physical activity and sedentary behaviour: a systematic review. International Journal of Behavioral Nutrition and Physical Activity, 2016. 13(1): p. 127.
  • Referans9. Bonoto, B.C., et al., Efficacy of mobile apps to support the care of patients with diabetes mellitus: a systematic review and meta-analysis of randomized controlled trials. JMIR mHealth and uHealth, 2017. 5(3): p. e4.
  • Referans10. Georgsson, M., N. Staggers, and C. Weir, A modified user-oriented heuristic evaluation of a mobile health system for diabetes self-management support. Computers, Informatics, Nursing, 2016. 34(2): p. 77.
  • Referans11. Hussain, A., E.O. Mkpojiogu, and F.M. Kamal. Eliciting user satisfying requirements for an e-health awareness system using kano model. in 14th International Conference On Applied Computer And Applied Computational Science (ACACOS'15), Kuala Lumpur. 2015.
  • Referans12. Veazie, S., et al., Mobile applications for self-management of diabetes. 2018.
  • Referans13. Årsand, E., et al., Performance of the first combined smartwatch and smartphone diabetes diary application study. Journal of diabetes science and technology, 2015. 9(3): p. 556-563.
  • Referans14. Reeder, B. and A. David, Health at hand: a systematic review of smart watch uses for health and wellness. Journal of biomedical informatics, 2016. 63: p. 269-276.
  • Referans15. Dix, A., Human-computer interaction. Springer. International Conference on Human-Computer Interaction, Uppsala, Sweden, August 24-28, 2009, Proceedings, Part I.
  • Referans16. Bevan, N., International standards for HCI and usability. International journal of human-computer studies, 2001. 55(4): p. 533-552.
  • Referans17. Zapata, B.C., et al., Empirical studies on usability of mHealth apps: a systematic literature review. Journal of medical systems, 2015. 39(2): p. 1.
  • Referans18. Roche, N., et al., Patient focus and regulatory considerations for inhalation device design: report from the 2015 IPAC-RS/ISAM workshop. Journal of aerosol medicine and pulmonary drug delivery, 2017. 30(1): p. 1-13.
  • Referans19. Coursaris, C.K. and D.J. Kim, A meta-analytical review of empirical mobile usability studies. Journal of usability studies, 2011. 6(3): p. 117-171.
  • Referans20. Broderick, J., et al., Designing health literate mobile apps. 2014, Institute of Medicine of the National Academies Washington, DC. p. Report No:1.
  • Referans21. Brown III, W., et al., Assessment of the Health IT Usability Evaluation Model (Health-ITUEM) for evaluating mobile health (mHealth) technology. Journal of biomedical informatics, 2013. 46(6): p. 1080-1087.
  • Referans22. Wang, J.B., et al., Mobile and wearable device features that matter in promoting physical activity. Journal of mobile technology in medicine, 2016. 5(2): p. 2.
  • Referans23. Brooke, J., SUS: a retrospective. Journal of usability studies, 2013. 8(2): p. 29-40.
  • Referans24. Brooke, J., SUS-A quick and dirty usability scale. Usability evaluation in industry, 1996. 189(194): p. 4-7.
  • Referans25. Demirkol, D. and Ç. Şeneler, A Turkish Translation of the System Usability Scale: The SUS-TR. Uşak Üniversitesi Sosyal Bilimler Dergisi, 2018. 11(3): p. 237-253.
  • Referans26. Kortum, P.T. and A. Bangor, Usability ratings for everyday products measured with the System Usability Scale. International Journal of Human-Computer Interaction, 2013. 29(2): p. 67-76.
  • Referans27. Bangor, A., P. Kortum, and J. Miller, Determining what individual SUS scores mean: Adding an adjective rating scale. Journal of usability studies, 2009. 4(3): p. 114-123.
  • Referans28. Patel, S., et al., A review of wearable sensors and systems with application in rehabilitation. Journal of neuroengineering and rehabilitation, 2012. 9(1): p. 21.
  • Referans29. Nguyen, N.H., et al., A qualitative evaluation of breast cancer survivors’ acceptance of and preferences for consumer wearable technology activity trackers. Supportive Care in Cancer, 2017. 25(11): p. 3375-3384.
  • Referans30. Zahra, F., A. Hussain, and H. Mohd. Usability factors of mobile health application for chronic diseases. in Proceedings of the International Conference on Applied Science and Technology 11–13 April 2016. Malaysia AIP Publishing.
  • Referans31. Krebs, P. and D.T. Duncan, Health app use among US mobile phone owners: a national survey. JMIR mHealth and uHealth, 2015. 3(4): p. e101.
  • Referans32. El-Gayar, O., et al., Mobile applications for diabetes self-management: status and potential. Journal of diabetes science and technology, 2013. 7(1): p. 247-262.
  • Referans33. Higgins, J.P., Smartphone applications for patients' health and fitness. The American journal of medicine, 2016. 129(1): p. 11-19.
  • Referans34. Garcia-Zapirain, B., et al., Development, technical, and user evaluation of a web mobile application for self-control of diabetes. Telemedicine and e-Health, 2016. 22(9): p. 778-785.
  • Referans35. Ridgers, N.D., et al., Wearable activity tracker use among Australian adolescents: usability and acceptability study. JMIR mHealth and uHealth, 2018. 6(4): p. e86.
Year 2020, Volume: 10 Issue: 1, 54 - 59, 24.03.2020
https://doi.org/10.33808/clinexphealthsci.599548

Abstract

Project Number

1059B141800431

References

  • Referans1. Cho, N., et al., IDF Diabetes Atlas: Global estimates of diabetes prevalence for 2017 and projections for 2045. Diabetes research and clinical practice, 2018. 138: p. 271-281.
  • Referans2. Davies, M.J., et al., Management of hyperglycaemia in type 2 diabetes, 2018. A consensus report by the American Diabetes Association (ADA) and the European Association for the Study of Diabetes (EASD). Diabetologia, 2018. 61(12): p. 2461-2498.
  • Referans3. Colberg, S.R., et al., Physical activity/exercise and diabetes: a position statement of the American Diabetes Association. Diabetes care, 2016. 39(11): p. 2065-2079.
  • Referans4. Morrato, E.H., et al., Physical activity in US adults with diabetes and at risk for developing diabetes, 2003. Diabetes care, 2007. 30(2): p. 203-209.
  • Referans5. Hunt, C.W., Technology and diabetes self-management: an integrative review. World journal of diabetes, 2015. 6(2): p. 225.
  • Referans6. Sanders, J.P., et al., Devices for self-monitoring sedentary time or physical activity: a scoping review. Journal of medical Internet research, 2016. 18(5): p. e90.
  • Referans7. Shah, V.N. and S.K. Garg, Managing diabetes in the digital age. Clinical Diabetes and Endocrinology, 2015. 1(1): p. 16.
  • Referans8. Schoeppe, S., et al., Efficacy of interventions that use apps to improve diet, physical activity and sedentary behaviour: a systematic review. International Journal of Behavioral Nutrition and Physical Activity, 2016. 13(1): p. 127.
  • Referans9. Bonoto, B.C., et al., Efficacy of mobile apps to support the care of patients with diabetes mellitus: a systematic review and meta-analysis of randomized controlled trials. JMIR mHealth and uHealth, 2017. 5(3): p. e4.
  • Referans10. Georgsson, M., N. Staggers, and C. Weir, A modified user-oriented heuristic evaluation of a mobile health system for diabetes self-management support. Computers, Informatics, Nursing, 2016. 34(2): p. 77.
  • Referans11. Hussain, A., E.O. Mkpojiogu, and F.M. Kamal. Eliciting user satisfying requirements for an e-health awareness system using kano model. in 14th International Conference On Applied Computer And Applied Computational Science (ACACOS'15), Kuala Lumpur. 2015.
  • Referans12. Veazie, S., et al., Mobile applications for self-management of diabetes. 2018.
  • Referans13. Årsand, E., et al., Performance of the first combined smartwatch and smartphone diabetes diary application study. Journal of diabetes science and technology, 2015. 9(3): p. 556-563.
  • Referans14. Reeder, B. and A. David, Health at hand: a systematic review of smart watch uses for health and wellness. Journal of biomedical informatics, 2016. 63: p. 269-276.
  • Referans15. Dix, A., Human-computer interaction. Springer. International Conference on Human-Computer Interaction, Uppsala, Sweden, August 24-28, 2009, Proceedings, Part I.
  • Referans16. Bevan, N., International standards for HCI and usability. International journal of human-computer studies, 2001. 55(4): p. 533-552.
  • Referans17. Zapata, B.C., et al., Empirical studies on usability of mHealth apps: a systematic literature review. Journal of medical systems, 2015. 39(2): p. 1.
  • Referans18. Roche, N., et al., Patient focus and regulatory considerations for inhalation device design: report from the 2015 IPAC-RS/ISAM workshop. Journal of aerosol medicine and pulmonary drug delivery, 2017. 30(1): p. 1-13.
  • Referans19. Coursaris, C.K. and D.J. Kim, A meta-analytical review of empirical mobile usability studies. Journal of usability studies, 2011. 6(3): p. 117-171.
  • Referans20. Broderick, J., et al., Designing health literate mobile apps. 2014, Institute of Medicine of the National Academies Washington, DC. p. Report No:1.
  • Referans21. Brown III, W., et al., Assessment of the Health IT Usability Evaluation Model (Health-ITUEM) for evaluating mobile health (mHealth) technology. Journal of biomedical informatics, 2013. 46(6): p. 1080-1087.
  • Referans22. Wang, J.B., et al., Mobile and wearable device features that matter in promoting physical activity. Journal of mobile technology in medicine, 2016. 5(2): p. 2.
  • Referans23. Brooke, J., SUS: a retrospective. Journal of usability studies, 2013. 8(2): p. 29-40.
  • Referans24. Brooke, J., SUS-A quick and dirty usability scale. Usability evaluation in industry, 1996. 189(194): p. 4-7.
  • Referans25. Demirkol, D. and Ç. Şeneler, A Turkish Translation of the System Usability Scale: The SUS-TR. Uşak Üniversitesi Sosyal Bilimler Dergisi, 2018. 11(3): p. 237-253.
  • Referans26. Kortum, P.T. and A. Bangor, Usability ratings for everyday products measured with the System Usability Scale. International Journal of Human-Computer Interaction, 2013. 29(2): p. 67-76.
  • Referans27. Bangor, A., P. Kortum, and J. Miller, Determining what individual SUS scores mean: Adding an adjective rating scale. Journal of usability studies, 2009. 4(3): p. 114-123.
  • Referans28. Patel, S., et al., A review of wearable sensors and systems with application in rehabilitation. Journal of neuroengineering and rehabilitation, 2012. 9(1): p. 21.
  • Referans29. Nguyen, N.H., et al., A qualitative evaluation of breast cancer survivors’ acceptance of and preferences for consumer wearable technology activity trackers. Supportive Care in Cancer, 2017. 25(11): p. 3375-3384.
  • Referans30. Zahra, F., A. Hussain, and H. Mohd. Usability factors of mobile health application for chronic diseases. in Proceedings of the International Conference on Applied Science and Technology 11–13 April 2016. Malaysia AIP Publishing.
  • Referans31. Krebs, P. and D.T. Duncan, Health app use among US mobile phone owners: a national survey. JMIR mHealth and uHealth, 2015. 3(4): p. e101.
  • Referans32. El-Gayar, O., et al., Mobile applications for diabetes self-management: status and potential. Journal of diabetes science and technology, 2013. 7(1): p. 247-262.
  • Referans33. Higgins, J.P., Smartphone applications for patients' health and fitness. The American journal of medicine, 2016. 129(1): p. 11-19.
  • Referans34. Garcia-Zapirain, B., et al., Development, technical, and user evaluation of a web mobile application for self-control of diabetes. Telemedicine and e-Health, 2016. 22(9): p. 778-785.
  • Referans35. Ridgers, N.D., et al., Wearable activity tracker use among Australian adolescents: usability and acceptability study. JMIR mHealth and uHealth, 2018. 6(4): p. e86.
There are 35 citations in total.

Details

Primary Language English
Subjects Health Care Administration
Journal Section Articles
Authors

Eren Timurtaş 0000-0001-9033-4327

Mine Gülden Polat 0000-0002-9705-9740

Project Number 1059B141800431
Publication Date March 24, 2020
Submission Date August 1, 2019
Published in Issue Year 2020 Volume: 10 Issue: 1

Cite

APA Timurtaş, E., & Polat, M. G. (2020). Usability of Mobile Health Application for Individuals with Type 2 Diabetes Mellitus and Clinicians. Clinical and Experimental Health Sciences, 10(1), 54-59. https://doi.org/10.33808/clinexphealthsci.599548
AMA Timurtaş E, Polat MG. Usability of Mobile Health Application for Individuals with Type 2 Diabetes Mellitus and Clinicians. Clinical and Experimental Health Sciences. March 2020;10(1):54-59. doi:10.33808/clinexphealthsci.599548
Chicago Timurtaş, Eren, and Mine Gülden Polat. “Usability of Mobile Health Application for Individuals With Type 2 Diabetes Mellitus and Clinicians”. Clinical and Experimental Health Sciences 10, no. 1 (March 2020): 54-59. https://doi.org/10.33808/clinexphealthsci.599548.
EndNote Timurtaş E, Polat MG (March 1, 2020) Usability of Mobile Health Application for Individuals with Type 2 Diabetes Mellitus and Clinicians. Clinical and Experimental Health Sciences 10 1 54–59.
IEEE E. Timurtaş and M. G. Polat, “Usability of Mobile Health Application for Individuals with Type 2 Diabetes Mellitus and Clinicians”, Clinical and Experimental Health Sciences, vol. 10, no. 1, pp. 54–59, 2020, doi: 10.33808/clinexphealthsci.599548.
ISNAD Timurtaş, Eren - Polat, Mine Gülden. “Usability of Mobile Health Application for Individuals With Type 2 Diabetes Mellitus and Clinicians”. Clinical and Experimental Health Sciences 10/1 (March 2020), 54-59. https://doi.org/10.33808/clinexphealthsci.599548.
JAMA Timurtaş E, Polat MG. Usability of Mobile Health Application for Individuals with Type 2 Diabetes Mellitus and Clinicians. Clinical and Experimental Health Sciences. 2020;10:54–59.
MLA Timurtaş, Eren and Mine Gülden Polat. “Usability of Mobile Health Application for Individuals With Type 2 Diabetes Mellitus and Clinicians”. Clinical and Experimental Health Sciences, vol. 10, no. 1, 2020, pp. 54-59, doi:10.33808/clinexphealthsci.599548.
Vancouver Timurtaş E, Polat MG. Usability of Mobile Health Application for Individuals with Type 2 Diabetes Mellitus and Clinicians. Clinical and Experimental Health Sciences. 2020;10(1):54-9.

14639   14640