Skip to main content

Advertisement

Log in

Type 2 Diabetes Patients Benefit from the COMODITY12 mHealth System: Results of a Randomised Trial

  • Mobile & Wireless Health
  • Published:
Journal of Medical Systems Aims and scope Submit manuscript

Abstract

Patient acceptance is one of the major barriers toward widespread use of mHealth systems. The aim of this study was to assess system operability and whole trial feasibility, including patients’ experience with their use of COMMODITY12 mHealth system under. Secondary study aims included assessment of several metabolic parameters as well as patient adherence to the treatment. This was a prospective parallel-arm randomized controlled trial in outpatients diagnosed with DM2, being treated in the primary care settings in Lodz region, Poland, with 6 weeks period of follow-up. Patients opinions were collected with 7-item questionnaire, assessing different aspects of system use, as well as EuroQol-5D-5 L questionnaire, assessing health-related quality of life. Sixty patients (female, 24, male, 36, mean age +/− SD 59.5 +/− 6.8) completed study. All four layers of the COMMODITY12 system proved to work smooth under real-life conditions, without major problems. All dimensions of experience with system use were assessed well, with maximum values for clearness of instructions, and ease of use (4.80, and 4.63, respectively). Health related quality of life, as assessed with cumulative utility measure, improved significantly in COMMODITY12 system users (P < 0.05). mHealth system modestly improved glycaemic and blood pressure control, assuring high level of patient adherence with overall adherence reaching 92.9 %. Study proved that the COMODITY12 system is well accepted by type 2 diabetes patients taking part in clinical trial, leading to several clinical benefits, and improved quality of life. Nevertheless, before future commercialisation of the system, several minor problems identified during the study need to be addressed.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

Similar content being viewed by others

References

  1. Shi, Y., and Hu, F. B., The global implications of diabetes and cancer. Lancet 383(9933):1947–1948, 2014. doi:10.1016/S0140-6736(14)60886-2.

    Article  PubMed  Google Scholar 

  2. IDF DIABETES ATLAS (6th ed.). International Diabetes Federation. p. 7, 2013.

  3. Safford, M. M., Russell, L., Suh, D. C., Roman, S., and Pogach, L., How much time do patients with diabetes spend on self-care? J. Am. Board Fam. Pract. 18(4):262–270, 2005.

    Article  PubMed  Google Scholar 

  4. Kafali, O., Bromuri, S., Sindlar, M., et al., COMMODITY12: A smart e-health environment for diabetes management. J. Ambient Intell. Smart Environ. 5:479–502, 2013. doi:10.3233/AIS-130220.

    Google Scholar 

  5. Brugués, A., Bromuri, S., Barry, M., Del Toro, Ó. J., Mazurkiewicz, M. R., Kardas, P., Pegueroles, J., and Schumacher, M., Processing diabetes mellitus composite events in MAGPIE. J. Med. Syst. 40(2):44, 2016. doi:10.1007/s10916-015-0377-1.

    Article  PubMed  Google Scholar 

  6. Bromuri, S., Zufferey, D., Hennebert, J., and Schumacher, M., Multi-label classification of chronically ill patients with bag of words and supervised dimensionality reduction algorithms. J. Biomed. Inform. 51:165–175, 2014. doi:10.1016/j.jbi.2014.05.010.

    Article  PubMed  Google Scholar 

  7. van Hout, B., Janssen, M. F., et al., Interim scoring for the EQ-5D-5L: Mapping the EQ-5D-5L to EQ-5D-3L value sets. Value Health 15(5):708–715, 2012. doi:10.1016/j.jval.2012.02.008.

    Article  PubMed  Google Scholar 

  8. Rasmussen, O. W., Lauszus, F. F., Loekke, M. Telemedicine compared with standard care in type 2 diabetes mellitus: A randomized trial in an outpatient clinic. J. Telemed. Telecare. 2015.

  9. Greenwood, D. A., Blozis, S. A., Young, H. M., Nesbitt, T. S., and Quinn, C. C., Overcoming clinical inertia: A randomized clinical trial of a telehealth remote monitoring intervention using paired glucose testing in adults with type 2 diabetes. J. Med. Internet Res. 17(7):e178, 2015. doi:10.2196/jmir.4112.

    Article  PubMed  PubMed Central  Google Scholar 

  10. Nicolucci, A., Cercone, S., Chiriatti, A., Muscas, F., and Gensini, G., A randomized trial on home telemonitoring for the management of metabolic and cardiovascular risk in patients with type 2 diabetes. Diabetes Technol. Ther. 17(8):563–570, 2015. doi:10.1089/dia.2014.0355.

    Article  CAS  PubMed  Google Scholar 

  11. Carallo, C., Scavelli, F. B., Cipolla, M., Merante, V., Medaglia, V., and Irace, C., Gnasso A1 progetto diabete Calabria. Management of type 2 diabetes mellitus through telemedicine. PLoS One 10(5):e0126858, 2015. doi:10.1371/journal.pone.0126858.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  12. Zhai, Y. K., Zhu, W. J., Cai, Y. L., Sun, D. X., and Zhao, J., Clinical- and cost-effectiveness of telemedicine in type 2 diabetes mellitus: A systematic review and meta-analysis. Medicine (Baltimore) 93(28):e312, 2014. doi:10.1097/MD.0000000000000312.

    Article  CAS  Google Scholar 

  13. Steventon, A., Bardsley, M., Doll, H., Tuckey, E., and Newman, S. P., Effect of telehealth on glycaemic control: analysis of patients with type 2 diabetes in the Whole Systems Demonstrator cluster randomised trial. BMC Health Serv. Res. 14:334, 2014. doi:10.1186/1472-6963-14-334.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Holmen, H., Torbjørnsen, A., Wahl, A. K., Jenum, A. K., Småstuen, M. C., Arsand, E., and Ribu, L., A mobile health intervention for self-management and lifestyle change for persons with type 2 diabetes, part 2: One-year results from the Norwegian randomized controlled trial RENEWING HEALTH. JMIR Mhealth Uhealth 2(4):e57, 2014. doi:10.2196/mhealth.3882.

    Article  PubMed  PubMed Central  Google Scholar 

  15. López-Torres, J., Rabanales, J., Fernández, R., López, F. J., Panadés, L., and Romero, V., Results of a telemedicine program for primary care patients with type 2 diabetes. Gac. Sanit. 29(1):55–58, 2015. doi:10.1016/j.gaceta.2014.08.003.

    Article  PubMed  Google Scholar 

  16. Kardas, P., Mazurkiewicz, M. R., Kurpas, D. Patients’ and healthcare professionals’ perspective of type 2 diabetes mellitus management: a focus-group study. 4th CODHy - World Congress on Controversies to Consensus in Diabetes, Obesity and Hypertension, Barcelona, 2012.

  17. Klonoff, D. C., The current status of mHealth for diabetes: will it be the next big thing? J. Diabetes Sci. Technol. 7(3):749–758, 2013. doi:10.1177/193229681300700321.

    Article  PubMed  PubMed Central  Google Scholar 

  18. Abebe, N. A., Capozza, K. L., Des Jardins, T. R., et al., Considerations for community-based mHealth initiatives: Insights from three Beacon Communities. J. Med. Internet Res. 15(10):e221, 2013. doi:10.2196/jmir.280.

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgments

This work was partially supported by the EU FP7 Project COMMODITY12 (www.commodity12.eu; grant agreement no: 287841).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Przemysław Kardas.

Additional information

This article is part of the Topical Collection on Mobile & Wireless Health

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kardas, P., Lewandowski, K. & Bromuri, S. Type 2 Diabetes Patients Benefit from the COMODITY12 mHealth System: Results of a Randomised Trial. J Med Syst 40, 259 (2016). https://doi.org/10.1007/s10916-016-0619-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s10916-016-0619-x

Keywords

Navigation