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6.
Diabetes Spectr ; 32(4): 301-303, 2019 Nov.
Article in English | MEDLINE | ID: mdl-31798286

ABSTRACT

IN BRIEF The shift from acute illness to the epidemic of chronic conditions is the hallmark of the past 50 years. In addition to the provision of high-quality, accessible, and comprehensive medical care, one key to improving outcomes for individuals with diabetes and other chronic conditions is to increase their ability to self-manage. Having a high degree of self-efficacy is key to a person's ability to self-manage. One major challenge is finding scalable and affordable approaches that successfully increase self-efficacy. The field of digital health encompasses a variety of technology-enabled tools to make clinical care and patient self-management easier and more impactful by providing effective treatments that lead to improved clinical and economic outcomes. Better Choices, Better Health, a self-efficacy-based, self-management support intervention, is an example of a successful digital therapeutic for adults with one or more chronic conditions, including diabetes.

9.
J Med Internet Res ; 19(3): e76, 2017 03 27.
Article in English | MEDLINE | ID: mdl-28347972

ABSTRACT

BACKGROUND: Lifestyle interventions targeting weight loss, such as those delivered through the Diabetes Prevention Program, reduce the risk of developing type 2 diabetes. Technology-mediated interventions may be an option to help overcome barriers to program delivery, and to disseminate diabetes prevention programs on a larger scale. OBJECTIVE: We conducted a meta-analysis to evaluate the effect of such technology-mediated interventions on weight loss. METHODS: In this meta-analysis, six databases were searched to identify studies reporting weight change that used technology to mediate diet and exercise interventions, and targeted individuals at high risk for developing type 2 diabetes. Studies published between January 1, 2002 and August 4, 2016 were included. RESULTS: The search identified 1196 citations. Of those, 15 studies met the inclusion criteria and evaluated 18 technology-mediated intervention arms delivered to a total of 2774 participants. Study duration ranged from 12 weeks to 2 years. A random-effects meta-analysis showed a pooled weight loss effect of 3.76 kilograms (95% CI 2.8-4.7; P<.001) for the interventions. Several studies also reported improved glycemic control following the intervention. The small sample sizes and heterogeneity of the trials precluded an evaluation of which technology-mediated intervention method was most efficacious. CONCLUSIONS: Technology-mediated diabetes prevention programs can result in clinically significant amounts of weight loss, as well as improvements in glycaemia in patients with prediabetes. Due to their potential for large-scale implementation, these interventions will play an important role in the dissemination of diabetes prevention programs.


Subject(s)
Diabetes Mellitus, Type 2/prevention & control , Weight Loss/physiology , Biomedical Technology , Body Weight , Humans
12.
Diabetes Technol Ther ; 17 Suppl 1: S53-66, 2015 Feb.
Article in English | MEDLINE | ID: mdl-25679431
13.
Diabetes Technol Ther ; 16 Suppl 1: S56-67, 2014 Feb.
Article in English | MEDLINE | ID: mdl-24479600
15.
Diabetes Educ ; 38(3): 357-65, 2012.
Article in English | MEDLINE | ID: mdl-22546740

ABSTRACT

PURPOSE: The purpose of this study is to test the feasibility and acceptability of a mobile phone-based peer support intervention among women in resource-poor settings to self-manage their diabetes. Secondary goals were to evaluate the intervention's effectiveness to motivate diabetes-related health choices. METHODS: Women with diabetes (n = 22) in Cape Town, South Africa, participated in a 12-week program focused on providing and applying knowledge of health routines to manage diabetes. Women were linked with a buddy via a mobile phone for support and were questioned daily about a health behavior via text message. Women were assessed at recruitment and then 3 and 6 months later by a trained interviewer using a mobile phone for data collection. The women were evaluated on technology uptake, reduction of body mass index, blood glucose levels, and increases in positive coping and general health-seeking behaviors. RESULTS: Women exchanged 16 739 text messages to buddies and received 3144 texts from the project. Women responded to 29% of texted questions (n = 1321/14 582). Women attended at least 9 of 12 possible intervention sessions; a third attended all 12 sessions (n = 8/22). Between baseline and 3 months, women increased their sleep and reported a higher level of positive action and social support coping, yet blood glucose increased by 3.3 points. From 3 to 6 months, spiritual hope decreased and diastolic blood pressure increased. One year later, the 22 women continue to attend meetings. CONCLUSIONS: Mobile phones are an easy and reliable way to provide peer support and disseminate health messages. Both positive and negative changes were observed in this pilot study.


Subject(s)
Diabetes Mellitus, Type 1/psychology , Diabetes Mellitus, Type 2/psychology , Social Support , Text Messaging , Adult , Aged , Blood Glucose , Diabetes Mellitus, Type 1/epidemiology , Diabetes Mellitus, Type 1/therapy , Diabetes Mellitus, Type 2/epidemiology , Diabetes Mellitus, Type 2/therapy , Feasibility Studies , Health Behavior , Health Services Accessibility , Humans , Middle Aged , Monitoring, Physiologic , Motivation , Pilot Projects , Self Care , South Africa , Surveys and Questionnaires , Text Messaging/statistics & numerical data , Young Adult
16.
Int J Clin Pract Suppl ; (175): 40-8, 2012 Feb.
Article in English | MEDLINE | ID: mdl-22308988
17.
J Diabetes Sci Technol ; 5(3): 798-803, 2011 May 01.
Article in English | MEDLINE | ID: mdl-21722596

ABSTRACT

Patients with diabetes need a complex set of services and supports. The challenge of integrating these services into the diabetes regimen can be successfully overcome through self-management support interventions that are clinically linked and technology enabled: self-management support because patients need help mastering the knowledge, attitudes, skills, and behaviors so necessary for good outcomes; interventions because comprehensive theory-based, evidence-proven, long-term, longitudinal interventions work better than direct-to-consumer or nonplanned health promotion approaches; clinically linked because patients are more likely to adopt new behaviors when the approach is in the context of a trusted therapeutic relationship and within an effective medical care system; and technology enabled because capitalizing on the amazing power of information technology leads to the delivery of cost-effective, scalable, engaging solutions that prevent and manage diabetes.


Subject(s)
Blood Glucose Self-Monitoring/methods , Diabetes Mellitus/therapy , Continuity of Patient Care , Cost-Benefit Analysis , Diffusion of Innovation , Disease Management , Health Care Costs , Health Promotion/methods , Health Services Accessibility , Humans , Internet , Patient Education as Topic/methods , Self Care , Telemedicine/methods
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