Active assistance technology reduces glycosylated hemoglobin and weight in individuals with type 2 diabetes: Results of a theory-based randomized trial

Diabetes Technology and Therapeutics

Volumn 15, Issue 8, 2013, Pages 662-669

  Orsama, Anna Leena ^a   Lähteenmäki, Jaakko ^a   Harno, Kari ^b   Kulju, Minna ^a   Wintergerst, Eva ^c   Schachner, Holly ^c   Stenger, Pat ^c   Leppänen, Juha ^a   Kaijanranta, Hannu ^a   Salaspuro, Ville ^d   Fisher, William A ^e  

^a VTT TECHNICAL RESEARCH CENTRE OF FINLAND   (Finland)

^b UNIVERSITY OF EASTERN FINLAND   (Finland)

^c BAYER CORPORATION   (United States)

^d Mediconsult Ltd   (Finland)

^e UNIVERSITY OF WESTERN ONTARIO   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

GLYCOSYLATED HEMOGLOBIN; ORAL ANTIDIABETIC AGENT;

ADULT; AGED; ARTICLE; BODY WEIGHT; CHANGE THEORY; CLINICAL ARTICLE; CONTROLLED STUDY; COUNSELING; DIABETES EDUCATION; DIASTOLIC BLOOD PRESSURE; FEEDBACK SYSTEM; FEMALE; HEALTH BEHAVIOR; HEALTH CARE PERSONNEL; HEALTH CARE QUALITY; HEALTH STATUS; HUMAN; MALE; NON INSULIN DEPENDENT DIABETES MELLITUS; PRIORITY JOURNAL; RANDOMIZED CONTROLLED TRIAL; SELF CARE; SYSTOLIC BLOOD PRESSURE; TELEPHONE; WEIGHT REDUCTION;

AGED; BODY MASS INDEX; COMBINED MODALITY THERAPY; DIABETES MELLITUS, TYPE 2; FEEDBACK, PSYCHOLOGICAL; FEMALE; FOLLOW-UP STUDIES; HEALTH BEHAVIOR; HEMOGLOBIN A, GLYCOSYLATED; HUMANS; HYPERGLYCEMIA; MALE; MEDICAL INFORMATICS APPLICATIONS; MIDDLE AGED; MOTIVATION; OBESITY; OVERWEIGHT; PSYCHOLOGICAL THEORY; SELF CARE; TELEMEDICINE; WEIGHT LOSS;

EID: 84882241742     PISSN: 15209156     EISSN: 15578593     Source Type: Journal    
DOI: 10.1089/dia.2013.0056     Document Type: Article

References (35)

1. Centers for Disease Control and Prevention: National diabetes fact sheet, 2011. Data sources, methods, and references for estimates of diabetes and prediabetes. www.cdc.gov/diabetes/pubs/pdf/methods11.pdf (accessed November 17, 2012
2. International Diabetes Federation: Global diabetes plan. 2011-2021. www.idf.org/sites/default/files/Global-Diabetes- Plan-Final.pdf (accessed November 12, 2012
3. Centers for Disease Control and Prevention: Increasing prevalence of diagnosed diabetes - United States and Puerto Rico, 1995-2010. MMWR Morbid Mortal Wkly Rep 2012; 61:918-921
4. Wild S, Roglic G, Green A, Sicree R, King H: Global prevalence of diabetes: Estimates for the year 2000 and projections for 2030. Diabetes Care 2004;27:1047-1053
5. The effect of intensive treatment of diabetes on the development and progression of long-term complications in insulin-dependent diabetes mellitus. The Diabetes Control and Complications Trial Research Group. N Engl J Med 1993;329:977-986
6. Hirsch IB, Bode BW, Childs BP, Close KL, Fisher WA, Gavin JR, Ginsberg BH, Raine CH, Verderese CA: Self-monitoring of blood glucose (SMBG) in insulin- and non-insulin-using adults with diabetes: Consensus recommendations for improving SMBG accuracy, utilization, and research. Diabetes Technol Ther 2008;10:419-439
7. Gregg EW, Gu Q, Cheng YJ, Narayan KM, Cowie CC: Mortality trends in men and women with diabetes, 1971 to 2000. Ann Intern Med 2007;147:149-155
8. Reichard P, Nilsson BY, Rosenqvist U: The effect of longterm intensified insulin treatment on the development of microvascular complications of diabetes mellitus. N Engl J Med 1993;329:304-309
9. American Diabetes Association: Executive summary: Standards of medical care in diabetes - 2012. Diabetes Care 2012;35(Suppl 1):S4-S10
10. American Diabetes Association: Standards of medical care in diabetes - 2012. Diabetes Care 2012;35(Suppl 1):S11- S63
11. Fisher WA, Kohut T, Schachner H, Stenger P: Understanding self-monitoring of blood glucose among individuals with type 1 and type 2 diabetes: An information-motivationbehavioral skills analysis. Diabetes Educ 2011;37:85-94
12. Fisher WA, Cornman DH, Kohut T, Schachner H, Stenger P: What primary care providers can do to address barriers to self-monitoring of blood glucose. Clin Diabetes 2013;31: 34-42
13. Jones H, Edwards L, Vallis TM, Ruggiero L, Rossi SR, Rossi JS, Greene G, Prochaska JO, Zinman B: Changes in diabetes self-care behaviors make a difference in glycemic control: The Diabetes Stages of Change (DiSC) study. Diabetes Care 2003;26:732-737
14. Moreland EC, Volkening LK, Lawlor MT, Chalmers KA, Anderson BJ, Laffel LM: Use of a blood glucose monitoring manual to enhance monitoring adherence in adults with diabetes: A randomized controlled trial. Arch Intern Med 2006;166:689-695
15. Norris SL, Engelgau MM, Narayan KM: Effectiveness of selfmanagement training in type 2 diabetes: A systematic review of randomized controlled trials. Diabetes Care 2001;24: 561-587
16. Smith DE, Heckemeyer CM, Kratt PP, Mason DA: Motivational interviewing to improve adherence to a behavioral weight-control program for older obese women with NIDDM. A pilot study. Diabetes Care 1997;20:52-54
17. Tatara N, Arsand E, Nilsen H, Hartvigsen G: A review of mobile terminal-based applications for self-management of patients with diabetes. Presented at the International Conference on eHealth, Telemedicine, and Social Medicine, Cancun, Mexico, 2009
18. Varonen H, Jousimaa J, Helin-Salmivaara A, Kunnamo I: Electronic primary care guidelines with links to Cochrane reviews - EBM guidelines. Fam Pract 2005;22:465-469
19. Fjeldsoe BS, Marshall AL, Miller YD: Behavior change interventions delivered by mobile telephone short-message service. Am J Prev Med 2009;36:165-173
20. Wei J, Hollin I, Kachnowski S: A review of the use of mobile phone text messaging in clinical and healthy behaviour interventions. J Telemed Telecare 2011;17:41-48
21. Quinn CC, Clough SS, Minor JM, Lender D, Okafor MC, Gruber-Baldini A: WellDoc mobile diabetes management randomized controlled trial: Change in clinical and behavioral outcomes and patient and physician satisfaction. Diabetes Technol Ther 2008;10:160-168
22. Kim HS: A randomized controlled trial of a nurse shortmessage service by cellular phone for people with diabetes. Int J Nurs Stud 2007;44:687-692
23. Yoon KH, Kim HS: A short message service by cellular phone in type 2 diabetic patients for 12 months. Diabetes Res Clin Pract 2008;79:256-261
24. Charpentier G, Benhamou PY, Dardari D, Clergeot A, Franc S, Schaepelynck-Belicar P, Catargi B, Melki V, Chaillous L, Farret A, Bosson JL, Penfornis A: The Diabeo software enabling individualized insulin dose adjustments combined with telemedicine support improves HbA1c in poorly controlled type 1 diabetic patients: A 6-month, randomized, open-label, parallel-group, multicenter trial (TeleDiab 1 Study). Diabetes Care 2011;34:533-539
25. Logan AG, McIsaac WJ, Tisler A, Irvine MJ, Saunders A, Dunai A, Rizo CA, Feig DS, Hamill M, Trudel M, Cafazzo JA: Mobile phone-based remote patient monitoring system for management of hypertension in diabetic patients. Am J Hypertens 2007;20:942-948
26. Franklin VL, Waller A, Pagliari C, Greene SA: A randomized controlled trial of Sweet Talk, a text-messaging system to support young people with diabetes. Diabet Med 2006;23: 1332-1338
27. Fisher JD, Fisher WA: Changing AIDS-risk behavior. Psychol Bull 1992;111:455-474
28. Fisher JD, FisherWA, Amico KR, Harman JJ: An informationmotivation- behavioral skills model of adherence to antiretroviral therapy. Health Psychol 2006;25:462-473
29. Fisher WA, Fisher JD. A general social psychological model for changing AIDS risk behavior. In: Pryor J, Reeder G, eds. The Social Psychology of HIV Infection. Hillsdale, NJ: Lawrence Erlbaum Associates, 1993:127-154
30. Osborn CY, Amico KR, Fisher WA, Egede LE, Fisher JD: An information-motivation-behavioral skills analysis of diet and exercise behavior in Puerto Ricans with diabetes. J Health Psychol 2010;15:1201-1213
31. Fisher WA, Schachner H: Self-monitoring of blood glucose in diabetic children and adolescents - barriers, behaviors, and the search for solutions. US Endocrinol 2009;4:2-5
32. Fisher WA, Orsama A-L, Lähteenmä ki J, Harno K, Kulju M, Wintergerst E, Schachner H, Stenger P, Leppänen J, Kaijanranta H, Salaspuro V, Liukko K: Remote patient reporting and automated mobile telephone feedback reduce HbA1C and weight in individuals with type 2 diabetes: Results of pilot research [abstract O-21]. Diabetes Technol Ther 2013;15(Suppl 1):A-8
33. Ramadas A, Quek KF, Chan CK, Oldenburg B: Web-based interventions for the management of type 2 diabetes mellitus: A systematic review of recent evidence. Int J Med Inform 2011;80:389-405
34. Fry JP, Neff RA: Periodic prompts and reminders in health promotion and health behavior interventions: Systematic review. J Med Internet Res 2009;11:e16
35. Webb TL, Joseph J, Yardley L, Michie S: Using the internet to promote health behavior change: A systematic review and meta-analysis of the impact of theoretical basis, use of behavior change techniques, and mode of delivery on efficacy. J Med Internet Res 2010;12:e4