Abstract
Diabetes self-management education (DSME) is defined as the ongoing process of facilitating the knowledge, skills, and abilities necessary for diabetes self-care. DSME focuses on the seven self-care behaviors of healthful eating, physical activity, monitoring of blood sugar, proper use of medications, problem solving, healthy coping, and reducing the risk of complications. Self-monitoring of blood glucose (SMBG) is widely recognized as a core component of effective diabetic self-management. Blood glucose pattern management is a powerful self-management tool to educate, communicate, and bring about change regarding improved glycemic management and has the potential to improve problem-solving and decision-making skills for both patients and clinicians. Pattern analysis is a systematic approach to identifying glycemic patterns within SMBG data and then performing appropriate action based on those results. This paper will review blood glucose pattern management as an effective tool of DSME.
References
1. Funnell MM, Brown TL, Childs BP, Haas LB, Hosey GM, Jensen B, Maryniuk M, Peyrot M, Piette JD, Reader D, Siminerio LM, Weinger K, Weiss MA. National standards for diabetes self-management education. Diabetes Care. 2011; 34(Suppl 1):S89–96.
2. Assal JP, Mühlhauser I, Pernet A, Gfeller R, Jörgens V, Berger M. Patient education as the basis for diabetes care in clinical practice and research. Diabetologia. 1985; 28:602–13.
3. Report of the task force on the delivery of diabetes self-management education and medical nutrition therapy. Diabetes Spectrum. 1999; 12:44–47.
4. AADE7 Self-Care Behaviors™. Available from:. https://www.diabeteseducator.org/patient-resources/aade7-self-care-behaviors. (updated 2016 Jan 24).
5. Davidson J. Strategies for improving glycemic control: effective use of glucose monitoring. Am J Med. 2005; 118:27S–32S.
6. Pearson J, Bergenstal R. Fine-tuning control: pattern management versus supplementation: View 1: pattern management: an essential component of effective insulin management. Diabetes Spectr. 2001; 14:75–8.
7. Wei N, Zheng H, Nathan DM. Empirically establishing blood glucose targets to achieve HbA1c goals. Diabetes Care. 2014; 37:1048–51.
8. Polonsky WH, Jelsovsky Z, Panzera S, Parkin CG, Wagner RS. Primary care physicians identify and act upon glycemic abnormalities found in structured, episodic blood glucose monitoring data from non-insulin-treated type 2 diabetes. Diabetes Technol Ther. 2009; 11:283–91.
9. Korea Association of Diabetes Nurse Educators. Sim KH, Song BR, Park JE, Lee JH, Jung JH, Choi HS, Kim SY. Smart self-monitoring of blood glucose. 1st ed.Seoul: Maru;2015. p. 34–42.
10. Leiter LA, Ceriello A, Davidson JA, Hanefeld M, Monnier L, Owens DR, Tajima N, Tuomilehto J. International Prandial Glucose Regulation Study Group. Postprandial glucose regulation: new data and new implications. Clin Ther. 2005; 27(Suppl B):S42–56.