Online Diabetes Self-Management Program

Author:

Lorig Kate1,Ritter Philip L.1,Laurent Diana D.1,Plant Kathryn1,Green Maurice1,Jernigan Valarie Blue Bird2,Case Siobhan3

Affiliation:

1. Stanford Patient Education Research Center, Stanford University School of Medicine, Palo Alto, California;

2. Stanford Prevention Research Center, Stanford University, Palo Alto, California;

3. Yale School of Medicine, New Haven, Connecticut.

Abstract

OBJECTIVE We hypothesized that people with type 2 diabetes in an online diabetes self-management program, compared with usual-care control subjects, would 1) demonstrate reduced A1C at 6 and 18 months, 2) have fewer symptoms, 3) demonstrate increased exercise, and 4) have improved self-efficacy and patient activation. In addition, participants randomized to listserve reinforcement would have better 18-month outcomes than participants receiving no reinforcement. RESEARCH DESIGN AND METHODS A total of 761 participants were randomized to 1) the program, 2) the program with e-mail reinforcement, or 3) were usual-care control subjects (no treatment). This sample included 110 American Indians/Alaska Natives (AI/ANs). Analyses of covariance models were used at the 6- and 18-month follow-up to compare groups. RESULTS At 6 months, A1C, patient activation, and self-efficacy were improved for program participants compared with usual care control subjects (P < 0.05). There were no changes in other health or behavioral indicators. The AI/AN program participants demonstrated improvements in health distress and activity limitation compared with usual-care control subjects. The subgroup with initial A1C >7% demonstrated stronger improvement in A1C (P = 0.01). At 18 months, self-efficacy and patient activation were improved for program participants. A1C was not measured. Reinforcement showed no improvement. CONCLUSIONS An online diabetes self-management program is acceptable for people with type 2 diabetes. Although the results were mixed they suggest 1) that the program may have beneficial effects in reducing A1C, 2) AI/AN populations can be engaged in and benefit from online interventions, and 3) our follow-up reinforcement appeared to have no value.

Publisher

American Diabetes Association

Subject

Advanced and Specialized Nursing,Endocrinology, Diabetes and Metabolism,Internal Medicine

Reference22 articles.

1. National Diabetes Statistics fact sheet: general information and national estimates on diabetes in the United States, 2005;National Institute of Diabetes and Digestive and Kidney Diseases

2. Community-based peer-led diabetes self-management: a randomized trial;Lorig;Diabetes Educ,2009

3. Spanish diabetes self-management with and without automated telephone reinforcement: two randomized trials;Lorig;Diabetes Care,2008

4. Group based training for self-management strategies in people with type 2 diabetes mellitus;Deakin;Cochrane Database Syst Rev,2005

5. A systematic review of interactive computer-assisted technology in diabetes care: interactive information technology in diabetes care;Jackson;J Gen Intern Med,2006

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