Value of Self-Monitoring Blood Glucose Pattern Analysis in Improving Diabetes Outcomes
Open accessAbstract
Self-monitoring of blood glucose (SMBG) is an important adjunct to hemoglobin A1c (HbA1c) testing. This action can distinguish between fasting, preprandial, and postprandial hyperglycemia; detect glycemic excursions; identify and monitor resolution of hypoglycemia; and provide immediate feedback to patients about the effect of food choices, activity, and medication on glycemic control. Pattern analysis is a systematic approach to identifying glycemic patterns within SMBG data and then taking appropriate action based upon those results. The use of pattern analysis involves: (1) establishing pre- and postprandial glucose targets; (2) obtaining data on glucose levels, carbohydrate intake, medication administration (type, dosages, timing), activity levels and physical/emotional stress; (3) analyzing data to identify patterns of glycemic excursions, assessing any influential factors, and implementing appropriate action(s); and (4) performing ongoing SMBG to assess the impact of any therapeutic changes made. Computer-based and paper-based data collection and management tools can be developed to perform pattern analysis for identifying patterns in SMBG data. This approach to interpreting SMBG data facilitates rational therapeutic adjustments in response to this information. Pattern analysis of SMBG data can be of equal or greater value than measurement of HbA1c levels.
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Pattern analysis of SMBG data allows clinicians and patients to make better informed therapeutic adjustments.
“Although this analysis only captures patterns obtained from SMBG measurements, and thus the patterns are highly dependent on the frequency and timing of the measurements, it allows clinicians and patients to make better informed therapeutic adjustments [36].”
From Self-Monitoring of Blood Glucose as an Integral Part in the Management of People with Type 2 Diabetes Mellitus (2022) · cites this paper as [36]
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- Authors
- Parkin, C. G., & Davidson, J. A.
- Affiliations
- CGParkin Communications, Inc., Carmel, Indiana
- The University of Texas Southwestern Medical Center (US)
- Corresponding author
- Parkin, Christopher G.
- Venue
- Journal of Diabetes Science and Technology
- Publisher
- SAGE Publications
- Published
- 2009-05
- Volume
- 3
- Issue
- 3
- Pages
- 500-508
- ISSN
- 1932-2968 (ISSN-L)
- PMC
- PMC2769875
- OpenAlex
- W2097959326
- Cited by
- 96
- References
- 85
- Citations by year
- 2026: 1 · 2025: 5 · 2024: 3 · 2023: 2 · 2022: 16 · 2021: 3 · 2020: 4 · 2019: 5 · 2018: 9 · 2017: 7 · 2016: 7 · 2015: 6 · 2014: 7 · 2013: 10 · 2012: 5
- FWCI
- 2.66
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Journal of Diabetes Science and Technology (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Education
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Treatment and Management
- Keywords
- self-monitoring of blood glucose, pattern analysis, glycemic excursions, diabetes management, glycemic control, hypoglycemia, HbA1c, carbohydrate intake, physical activity
- MeSH terms
- Blood Glucose, Decision Making, Computer-Assisted, Diabetes Mellitus, Fasting, Glycated Hemoglobin, Humans, Hypoglycemic Agents, Patient Compliance, Stress, Psychological, Blood Glucose Self-Monitoring, Treatment Outcome, Postprandial Period
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