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BackgroundPast mobile health (mHealth) efforts to empower type 2 diabetes (T2D) self-management include portals, text messaging, collection of biometric data, electronic coaching, email, and collection of lifestyle information. ObjectiveThe primary objective was to enhance patient activation and self-management of T2D using the US Department of Defense’s Mobile Health Care Environment (MHCE) in a patient-centered medical home setting. MethodsA multisite study, including a user-centered design and a controlled trial, was conducted within the US Military Health System. Phase I assessed preferences regarding the enhancement of the enabling technology. Phase II was a single-blinded 12-month feasibility study that randomly assigned 240 patients to either the intervention (n=123, received mHealth technology and behavioral messages tailored to Patient Activation Measure [PAM] level at baseline) or the control group (n=117, received equipment but not messaging. The primary outcome measure was PAM scores. Secondary outcome measures included Summary of Diabetes Self-Care Activities (SDSCA) scores and cardiometabolic outcomes. We used generalized estimating equations to estimate changes in outcomes. ResultsThe final sample consisted of 229 patients. Participants were 61.6% (141/229) male, had a mean age of 62.9 years, mean glycated hemoglobin (HbA1c) of 7.5%, mean BMI of 32.7, and a mean duration of T2D diagnosis of 9.8 years. At month 12, the control group showed significantly greater improvements compared with the intervention group in PAM scores (control mean 7.49, intervention mean 1.77; P=.007), HbA1c (control mean −0.53, intervention mean −0.11; P=.006), and low-density lipoprotein cholesterol (control mean −7.14, intervention mean 4.38; P=.01). Both groups showed significant improvement in SDSCA, BMI, waist size, and diastolic blood pressure; between-group differences were not statistically significant. Except for patients with the highest level of activation (PAM level 4), intervention group patients exhibited significant improvements in PAM scores. For patients with the lowest level of activation (PAM level 1), the intervention group showed significantly greater improvement compared with the control group in HbA1c (control mean −0.09, intervention mean −0.52; P=.04), BMI (control mean 0.58, intervention mean −1.22; P=.01), and high-density lipoprotein cholesterol levels (control mean −4.86, intervention mean 3.56; P

BackgroundThe potential of mHealth technologies in the care of patients with diabetes and other chronic conditions has captured the attention of clinicians and researchers. Efforts to date have incorporated a variety of tools and techniques, including Web-based portals, short message service (SMS) text messaging, remote collection of biometric data, electronic coaching, electronic-based health education, secure email communication between visits, and electronic collection of lifestyle and quality-of-life surveys. Each of these tools, used alone or in combination, have demonstrated varying degrees of effectiveness. Some of the more promising results have been demonstrated using regular collection of biometric devices, SMS text messaging, secure email communication with clinical teams, and regular reporting of quality-of-life variables. In this study, we seek to incorporate several of the most promising mHealth capabilities in a patient-centered medical home (PCMH) workflow.ObjectiveWe aim to address underlying technology needs and gaps related to the use of mHealth technology and the activation of patients living with type 2 diabetes. Stated differently, we enable supporting technologies while seeking to influence patient activation and self-care activities.MethodsThis is a multisite phased study, conducted within the US Military Health System, that includes a user-centered design phase and a PCMH-based feasibility trial. In phase 1, we will assess both patient and provider preferences regarding the enhancement of the enabling technology capabilities for type 2 diabetes chronic care management. Phase 2 research will be a single-blinded 12-month feasibility study that incorporates randomization principles. Phase 2 research will seek to improve patient activation and self-care activities through the use of the Mobile Health Care Environment with tailored behavioral messaging. The primary outcome measure is the Patient Activation Measure scores. Secondary outcome measures are Summary of Diabetes Self-care Activities Measure scores, clinical measures, comorbid conditions, health services resource consumption, and technology system usage statistics.ResultsWe have completed phase 1 data collection. Formal analysis of phase 1 data has not been completed. We have obtained institutional review board approval and began phase 1 research in late fall 2016.ConclusionsThe study hypotheses suggest that patients can, and will, improve their activation in chronic care management. Improved activation should translate into improved diabetes self-care. Expected benefits of this research to the scientific community and health care services include improved understanding of how to leverage mHealth technology to activate patients living with type 2 diabetes in self-management behaviors. The research will shed light on implementation strategies in integrating mHealth into the clinical workflow of the PCMH setting.Trial registrationClinicalTrials.gov NCT02949037. https://clinicaltrials.gov/ct2/show/NCT02949037. (Archived by WebCite at http://www.webcitation.org/6oRyDzqei).

Minority and low socioeconomic status groups have the highest rates of overweight and obesity. Children from these families face a greater risk for weight-related health problems such as diabetes, heart disease and cancer as compared to their nonminority and more affluent peers. Factors from the larger physical, social, and cultural environments, and within families, influence weight status among children. Many of these factors are yet to be identified and relationships among known factors are complex and not well understood. The National Institutes of Health and U.S. Department of Agriculture have proposed a research agenda for social and behavioral scientists to "examine how social contexts influence health and elucidate the mechanisms through with those mechanisms operate", and to "develop ways to intervene on those factors for preventing obesity." This editorial presents a social ecological view of child obesity and proposes several steps necessary to identify how community and family domain factors affect the weight-regulating behaviors of children. An empiricallybased, theoretically-driven approach will lead to efficacious interventions which can be translated and widely disseminated into community-based programs, thus increasing the probability of success of population-based obesity prevention and control interventions. [ABSTRACT FROM AUTHOR]

Background: According to 2003 Behavioral Risk Factor Surveillance System data, South Carolina has the fourth highest rate of overall diabetes among the 50 states (9.3%) but the second highest rate among African Americans (15.5%). Nationwide, African Americans are disproportionately affected by diabetes. In addition, 40% of the African American population in South Carolina lives in a rural area, and approximately 26% live at or below the poverty level. Lack of access to health care and diabetes education are additional barriers for people with diabetes and their families., Context: Since 1997, the South Carolina Diabetes Prevention and Control Program and the Diabetes Today Advisory Council have sponsored the African American Conference on Diabetes, which targets African Americans with diabetes, their families, and their caregivers. This article describes the evolution of the conference and its evaluation., Methods: In 2002, we conducted focus groups with 20 African American conference attendees with diabetes to 1) assess the program's effects, 2) determine how to reach more individuals, and 3) improve programming. In 2004, we incorporated the preconference and postconference Diabetes Understanding Scale survey to assess the cognitive impact of the conference on participants., Consequences: Focus group results revealed that participants wanted to attend the conference because of the opportunity to increase their knowledge and change their behaviors through 1) education, 2) social support, 3) resources, and 4) logistics. Self-rated understanding increased significantly after the conference for each cognitive understanding item on the Diabetes Understanding Scale., Interpretation: Focus group results suggested that participants who continue to attend the conference year after year may improve diabetes self-management skills. A quantitative evaluation showed that this 1-day diabetes education conference significantly increased short-term, self-rated cognitive understanding of diabetes behaviors.

The use of a geographic information system (GIS) to study environmental supports for physical activity raises several issues, including acquisition and development, quality, and analysis. We recommend to public health professionals interested in using GIS that they investigate available data, plan for data development where none exists, ensure the availability of trained personnel and sufficient time, and consider issues such as data quality, analyses, and confidentiality. This article shares information about data-related issues that we encountered when using GIS to validate responses to a questionnaire about environmental supports for physical activity.