Cited by 96Telemedicine and Telehealth ImplementationDiabetes Management and EducationDiabetes Management and Research

Telehealth Remote Monitoring Systematic Review: Structured Self-monitoring of Blood Glucose and Impact on A1C

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Greenwood, Deborah A., Young, Heather M., Quinn, Charlene C.·2014·Journal of Diabetes Science and Technology

Abstract

Aims: The aim was to summarize research on telehealth remote patient monitoring interventions that incorporate key elements of structured self-monitoring of blood glucose (SMBG) identified as essential for improving A1C. Methods: A systematic review was conducted using the Medline, Cumulative Index to Nursing and Allied Health Literature, EMBASE, and OVID Medline databases with search terms “Telemedicine” AND “Monitoring, Physiologic” AND “Diabetes Mellitus, Type 2.” Study selection criteria included original randomized clinical trials evaluating the impact of telehealth remote patient monitoring on A1C among adults with type 2 diabetes and incorporated 1 or more essential elements of SMBG identified by the International Diabetes Federation (patient education, provider education, structured SMBG profile, SMBG goals, feedback, data used to modify treatment, interactive communication or shared decision making). Results: Fifteen studies were included, with interventions ranging from 3 to 12 months (mean 8 months) with sample sizes from 30 to 1665. Key SMBG elements were grouped into 3 categories: education, SMBG protocols, and feedback. Research incorporating 5 of the 7 elements consistently achieved significant A1C improvements between study groups. Interventions using more SMBG elements are associated with an improvement in A1C. Studies with the largest A1C decrease incorporated 6 of the 7 elements and computer decision support. Two studies with 5 of the 7 elements and active medication management achieved significant A1C decreases. Conclusion: Telehealth remote patient monitoring interventions in type 2 diabetes have not included all structured monitoring elements recommended by the IDF. Incorporating more elements of structured SMBG is associated with improved A1C.

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  1. [5]5. American Association of Diabetes Educators. AADE7 self- care behaviors. Diabetes Educ. 2008;34(3):445-449.
  2. [41]41. Quinn CC, Clough SS, Minor JM, Lender D, Okafor MC, Gruber-Baldini A. WellDoc mobile diabetes management ran- domized controlled trial: change in clinical and behavioral out- comes and patient and physician satisfaction. Diabetes Technol Ther. 2008;10(3):160-168.

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Authors
Greenwood, D. A., Young, H. M., & Quinn, C. C.
Affiliations
  • University of California, Davis (US)
  • University of Maryland, Baltimore (US)
Venue
Journal of Diabetes Science and Technology
Published
2014-02-21
Volume
8
Issue
2
Pages
378-389
ISSN
1932-2968 (ISSN-L)
OpenAlex
W2132057588
Cited by
96
References
57
Citations by year
2026: 3 · 2025: 7 · 2024: 8 · 2023: 9 · 2022: 7 · 2021: 4 · 2020: 14 · 2019: 12 · 2018: 9 · 2017: 7 · 2016: 10 · 2015: 5 · 2014: 1
FWCI
1.20
Type
journal article
Language
en
Open access
Locations
  • Journal of Diabetes Science and Technology (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • eScholarship (California Digital Library) (submittedVersion)
Funders
  • LifeScan
  • Maryland Industrial Partnerships
  • A. James Clark School of Engineering
  • Maryland Technology Enterprise Institute
Topics
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Telemedicine and Telehealth Implementation
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Education
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
Keywords
telemedicine, remote patient monitoring, type 2 diabetes, HbA1c, patient education, computer decision support, medication management, shared decision-making

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