Web-Based Remote Monitoring Systems for Self-Managing Type 2 Diabetes: A Systematic Review

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20 Citations (Scopus)


This systematic review aims to evaluate evidence for viability and impact of Web-based telemonitoring for managing type 2 diabetes mellitus. A review protocol included searching Medline, EMBASE, CINAHL, AMED, the Cochrane Library, and PubMed using the following terms: telemonitoring, type 2 diabetes mellitus, self-management, and web-based Internet solutions. The technology used, trial design, quality of life measures, and the glycated hemoglobin (HbA1c) levels were extracted. This review identified 426 publications; of these, 19 met preset inclusion criteria. Ten quasi-experimental research designs were found, of which seven were pre-posttest studies, two were cohort studies, and one was an interrupted time-series study; in addition, there were nine randomized controlled trials. Web-based remote monitoring from home to hospital is a viable approach for healthcare delivery and enhances patients' quality of life. Six of these studies were conducted in South Korea, five in the United States, three in the United Kingdom, two in Taiwan, and one each in Spain, Poland, and India. The duration of the studies varied from 4 weeks to 18 months, and the participants were all adults. Fifteen studies showed positive improvement in HbA1c levels. One study showed high acceptance of the technology among participants. It remains challenging to identify clear evidence of effectiveness in the rapidly changing area of remote monitoring in diabetes care. Both the technology and its implementations are complex. The optimal design of a telemedicine system is still uncertain, and the value of the real-time blood glucose transmissions is still controversial.
Original languageEnglish
JournalDiabetes Technology and Therapeutics
Issue number7
Publication statusPublished online - 1 Apr 2015


  • Type 2 diabetes
  • self-management
  • telemonitoring
  • telehealth
  • telemedicine
  • connected health technology
  • blood glucose monitoring


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