Evaluating the Feasibility and Impact of an Internet-Based Lifestyle Management Program in a Diabetes Care Setting

Sherifali, Diana; Hess, Rachel; McTigue, Kathleen M.; Brozic, Anka; Ng, Kester; Gerstein, Hertzel C.

doi:10.1089/dia.2013.0278

Cited by 9 publications

(4 citation statements)

References 18 publications

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“…The number of internet-based approaches for lifestyle changes in self-management programs has increased in several settings, both in adolescents and in adults, [25][26][27] and in different non-communicable diseases. [28][29][30][31][32] The most recent approaches allow for interaction with therapists, and also with peers in discrete groups, while maintaining privacy. Accordingly, they tend to overcome the drawbacks of classical approaches, based on face-to-face or group-based meetings with counselors, reaching the limited audience able to attend the clinic during working hours, in countries where treatment is regulated by a universal healthcare system, or are able to pay for private treatment.…”

Section: Discussionmentioning

confidence: 99%

An internet-based approach for lifestyle changes in patients with NAFLD: Two-year effects on weight loss and surrogate markers

Mazzotti

Caletti

Brodosi

et al. 2018

Journal of Hepatology

123

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Highlights Job/time constraints limit the engagement of patients with NAFLD in counseling programs. Web-and group-based programs promote similar calorie/physical activity changes. Surrogate markers indicate reduced fat in the liver and no changes in hepatic fibrosis. Web counseling results in clinically significant weight loss in motivated patients. Structured web-based program is as effective as groupcounseling in selected patients with NAFLD.

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Section: Discussionmentioning

confidence: 99%

An internet-based approach for lifestyle changes in patients with NAFLD: Two-year effects on weight loss and surrogate markers

Mazzotti

Caletti

Brodosi

et al. 2018

Journal of Hepatology

123

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“…In a multiple regression analysis, Chin et al 30 reported that increased frequencies of logging weight, exercise, breakfast, and dinner were all positively associated with a 9-month weight loss (controlling for age, gender, and baseline BMI). In a multiple regression analysis, Sherifali et al 31 reported non-significant effects of website login frequency and lesson unit completion on a 1-year weight loss (controlling for age and gender). Finally, in a structural equation analysis, Kim et al 32 reported that increased group participation and food logging frequency were predicted in a 6-month weight loss.…”

Section: Discussionmentioning

confidence: 99%

Engagement and outcomes in a digital Diabetes Prevention Program: 3-year update

Sepah

Jiang

Ellis³

et al. 2017

BMJ Open Diab Res Care

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ObjectiveTranslations of the Diabetes Prevention Program (DPP) have proliferated in recent years, with increasing expansion to digital formats. Although these DPP translations have consistently shown favorable clinical outcomes, long-term data for digital formats are limited. This study’s objective was to examine clinical outcomes up to 3 years post-baseline and the relationship between program engagement and clinical outcomes in a digital DPP.Research design and methodsIn a single-arm, non-randomized trial, 220 patients previously diagnosed with prediabetes were enrolled in the Omada Health Program, a commercially available, 16-week DPP-based weight loss intervention followed by an ongoing weight maintenance intervention. Changes in body weight and A1c were assessed annually. Relationships between program engagement during the first year and clinical outcomes across 3 years were examined.ResultsParticipants were socioeconomically diverse (62% women, 50.2% non-Hispanic white, 51.7% college educated or higher). From baseline to 3 years, those participants who completed four or more lessons and nine or more lessons achieved significant sustained weight loss (–3.0% and –2.9%, respectively) and an absolute reduction in A1c (–0.31 and –0.33, respectively) with an average remission from the prediabetes range to the normal glycemic range. Factor analysis of engagement metrics during the first year revealed two underlying dimensions, one comprising lesson completion and health behavior tracking consistency, and the other comprising website logins and group participation. When these two factors were used to predict weight loss, only the logins and group participation factor was a significant predictor of weight loss at 16 weeks and 1 year.ConclusionsThis study demonstrates significant long-term reductions in body weight and A1c in a digital DPP and identifies patterns of program engagement that predict weight loss.

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“…By comparison, we can see that virtually all patients evolved to a better condition, but six months is insufficient to achieve the ADA goals (HbA1c: 7%; preprandial plasma glucose: 70-130 mg/dl; postprandial plasma glucose: less than 180 mg/dl). With the advancement of science and technology, a step forward would be enough to harness the Internet to allow patients to selfmonitor and keep updated through the website of the health institutions, as has already been experienced (16).…”

Section: Discussionmentioning

confidence: 99%

Adherence to two methods of education and metabolic control in Type 2 diabetics

Herrera¹,

Zerón²,

Alcántara³

2015

Ethiop J Health Sci

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BACKGROUND: Education in diabetes optimizes metabolic control, prevents acute and chronic complications, and improves quality of life. Our main objective was to evaluate if a better metabolic control is achieved in diabetic patients undergoing a program of intensive interactive care than in those with traditional care and written information. METHODS: Patients with type 2 diabetes mellitus (T2DM), aged 20-60 years, education level at least of primary school, serum creatinine ≤ 2.5 mg/dl, self-sufficient and HbA1c ≥ 7.1% were allocated in two groups of education, 1) minimal education (MEG) and 2) full education (FEG). The MEG patients followed predefined diet; FEG patients chose the diet by selecting foods from each group in a list of matches, teaching them to count nutrients, kilocalories (kcal) and percentage of nutrients. RESULTS: A follow-up of 31 patients in each group was obtained. The proportion of patients who had initial adherence was 13.33% in the MEG group and 9.67% in the FEG group while, at the end of the study, these percentages were of 73.3% and 58.38% respectively. The final HbA1c decreased in both groups, with or without good adherence. The FEG group had a higher decline in the values of cholesterol (p = 0.036) and LDL (p = 0.002) than the MEG group. CONCLUSION: Education programs in T2DM contribute to a decrease in HbA1c within six months, but an intensive program is more effective in reducing cholesterol and LDL.

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Evaluating the Feasibility and Impact of an Internet-Based Lifestyle Management Program in a Diabetes Care Setting

Abstract: This before-after pilot study demonstrates that adding an Internet-based lifestyle modification program to usual care may improve clinically important outcomes.

Cited by 9 publications

References 18 publications

An internet-based approach for lifestyle changes in patients with NAFLD: Two-year effects on weight loss and surrogate markers

An internet-based approach for lifestyle changes in patients with NAFLD: Two-year effects on weight loss and surrogate markers

Engagement and outcomes in a digital Diabetes Prevention Program: 3-year update

Adherence to two methods of education and metabolic control in Type 2 diabetics

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