2017 National Standards for Diabetes Self-Management Education and Support.

PURPOSE: The purpose of this study is to review the literature for Diabetes Self-Management Education and Support (DSMES) to ensure the National Standards for DSMES (Standards) align with current evidence-based practices and utilization trends. METHODS: The 10 Standards were divided among 20 interdisciplinary workgroup members. Members searched the current research for diabetes education and support, behavioral health, clinical, health care environment, technical, reimbursement, and business practice for the strongest evidence that guided the Standards revision. RESULTS: Diabetes Self-Management Education and Support facilitates the knowledge, skills, and ability necessary for diabetes self-care as well as activities that assist a person in implementing and sustaining the behaviors needed to manage their condition on an ongoing basis. The evidence indicates that health care providers and people affected by diabetes are embracing technology, and this is having a positive impact of DSMES access, utilization, and outcomes. CONCLUSION: Quality DSMES continues to be a critical element of care for all people with diabetes. The DSMES services must be individualized and guided by the concerns, preferences, and needs of the person affected by diabetes. Even with the abundance of evidence supporting the benefits of DSMES, it continues to be underutilized, but as with other health care services, technology is changing the way DSMES is delivered and utilized with positive outcomes.

2017 National Standards for Diabetes Self-Management Education and Support.

PURPOSE: The purpose of this study is to review the literature for Diabetes Self-Management Education and Support (DSMES) to ensure the National Standards for DSMES (Standards) align with current evidence-based practices and utilization trends. METHODS: The 10 Standards were divided among 20 interdisciplinary workgroup members. Members searched the current research for diabetes education and support, behavioral health, clinical, health care environment, technical, reimbursement, and business practice for the strongest evidence that guided the Standards revision. RESULTS: Diabetes Self-Management Education and Support facilitates the knowledge, skills, and ability necessary for diabetes self-care as well as activities that assist a person in implementing and sustaining the behaviors needed to manage their condition on an ongoing basis. The evidence indicates that health care providers and people affected by diabetes are embracing technology, and this is having a positive impact of DSMES access, utilization, and outcomes. CONCLUSION: Quality DSMES continues to be a critical element of care for all people with diabetes. The DSMES services must be individualized and guided by the concerns, preferences, and needs of the person affected by diabetes. Even with the abundance of evidence supporting the benefits of DSMES, it continues to be underutilized, but as with other health care services, technology is changing the way DSMES is delivered and utilized with positive outcomes.

2017 National Standards for Diabetes Self-Management Education and Support.

PURPOSE: The purpose of this study is to review the literature for Diabetes Self-Management Education and Support (DSMES) to ensure the National Standards for DSMES (Standards) align with current evidence-based practices and utilization trends. METHODS: The 10 Standards were divided among 20 interdisciplinary workgroup members. Members searched the current research for diabetes education and support, behavioral health, clinical, health care environment, technical, reimbursement, and business practice for the strongest evidence that guided the Standards revision. RESULTS: Diabetes Self-Management Education and Support facilitates the knowledge, skills, and ability necessary for diabetes self-care as well as activities that assist a person in implementing and sustaining the behaviors needed to manage their condition on an ongoing basis. The evidence indicates that health care providers and people affected by diabetes are embracing technology, and this is having a positive impact of DSMES access, utilization, and outcomes. CONCLUSION: Quality DSMES continues to be a critical element of care for all people with diabetes. The DSMES services must be individualized and guided by the concerns, preferences, and needs of the person affected by diabetes. Even with the abundance of evidence supporting the benefits of DSMES, it continues to be underutilized, but as with other health care services, technology is changing the way DSMES is delivered and utilized with positive outcomes.

2017 National Standards for Diabetes Self-Management Education and Support.

Purpose The purpose of this study is to review the literature for Diabetes Self-Management Education and Support (DSMES) to ensure the National Standards for DSMES (Standards) align with current evidence-based practices and utilization trends. Methods The 10 Standards were divided among 20 interdisciplinary workgroup members. Members searched the current research for diabetes education and support, behavioral health, clinical, health care environment, technical, reimbursement, and business practice for the strongest evidence that guided the Standards revision. Results Diabetes Self-Management Education and Support facilitates the knowledge, skills, and ability necessary for diabetes self-care as well as activities that assist a person in implementing and sustaining the behaviors needed to manage their condition on an ongoing basis. The evidence indicates that health care providers and people affected by diabetes are embracing technology, and this is having a positive impact of DSMES access, utilization, and outcomes. Conclusion Quality DSMES continues to be a critical element of care for all people with diabetes. The DSMES services must be individualized and guided by the concerns, preferences, and needs of the person affected by diabetes. Even with the abundance of evidence supporting the benefits of DSMES, it continues to be underutilized, but as with other health care services, technology is changing the way DSMES is delivered and utilized with positive outcomes.

Does a History of Gestational Diabetes Mellitus Affect Key Outcomes in Women Participating in a Diabetes Prevention Program?

Objectives To evaluate lifestyle change outcomes among women with and without a history of gestational diabetes mellitus (GDM) enrolled in the Montana Diabetes Prevention Program (DPP). Methods Participation, self-monitoring behavior, weight loss, and cardiometabolic risk reduction were compared among 5091 women at high-risk for type 2 diabetes, with and without a history of GDM, enrolled in the Montana DPP between 2008 and 2015. Results Women with a history of GDM (6% of enrolled women, n = 283) were significantly younger than women without GDM. No significant differences in participation, self-monitoring fat intake, achievement of the physical activity goal, or weight loss were found among women with and without a history of GDM. Overall, women lost an average of 5.0 kg (± 6.5), and 45 and 29% of women achieved 5 and 7% weight loss, respectively. Both groups lost significant and comparable amounts of weight. After adjusting for age and other factors, no differences were found in achievement of ≥ 5% weight loss (AOR 0.84; 95% CI 0.61-1.16) or the ≥ 7% weight loss goal (AOR 1.04; 95% CI 0.73-1.47) among women with and without a history of GDM. Conclusions for Practice Our findings suggest that women with and without a history of GDM successfully participate in and achieve significant weight loss in the DPP. Health care providers should identify and refer women with risk factors for type 2 diabetes, including a history of GDM, to a DPP within their community.

2017 National Standards for Diabetes Self-Management Education and Support.

This article was copublished in Diabetes Care 2017;40:1409-1419 and The Diabetes Educator 2017;43:449-464 and is reprinted with permission. The previous version of this article, also copublished in Diabetes Care and The Diabetes Educator, can be found at Diabetes Care 2012;35:2393-2401 (https://doi.org/10.2337/dc12-1707).

2017 National Standards for Diabetes Self-Management Education and Support.

Purpose The purpose of this study is to review the literature for Diabetes Self-Management Education and Support (DSMES) to ensure the National Standards for DSMES (Standards) align with current evidence-based practices and utilization trends. Methods The 10 Standards were divided among 20 interdisciplinary workgroup members. Members searched the current research for diabetes education and support, behavioral health, clinical, health care environment, technical, reimbursement, and business practice for the strongest evidence that guided the Standards revision. Results Diabetes Self-Management Education and Support facilitates the knowledge, skills, and ability necessary for diabetes self-care as well as activities that assist a person in implementing and sustaining the behaviors needed to manage their condition on an ongoing basis. The evidence indicates that health care providers and people affected by diabetes are embracing technology, and this is having a positive impact of DSMES access, utilization, and outcomes. Conclusion Quality DSMES continues to be a critical element of care for all people with diabetes. The DSMES services must be individualized and guided by the concerns, preferences, and needs of the person affected by diabetes. Even with the abundance of evidence supporting the benefits of DSMES, it continues to be underutilized, but as with other health care services, technology is changing the way DSMES is delivered and utilized with positive outcomes.

Telehealth delivery of the diabetes prevention program to rural communities.

The Centers for Disease Control and Prevention, State and Local Health Departments, and other organizations in the USA are working to increase population access to the Diabetes Prevention Program (DPP) lifestyle intervention. Delivering the DPP through telehealth videoconference may increase access to this intervention, particularly in rural communities. The purpose of this study was to compare participation, monitoring of diet and physical activity, and weight loss in participants receiving the intervention on-site and those participating virtually through telehealth. Beginning in 2008, Holy Rosary Healthcare collaborated with the Montana Department of Public Health and Human Services to provide the DPP to participants on-site in one community and simultaneously through telehealth to participants in multiple other communities. From 2008 through 2015, 894 participants were enrolled in the program (29% at telehealth sites). The mean age of participants was 51.7 years and 84% were female. Overall, participants attended 14.4, 3.9, and 15.0 weekly core, post-core, and total sessions, respectively. There were no statistically significant differences in number of intervention sessions attended by the telehealth or on-site participants. There were no statistically significant differences in the mean weight loss or reduction in BMI between the telehealth and the on-site groups. There also were no statistically significant differences in the percentage of telehealth or on-site participants who achieved ≥5% weight loss (56 vs. 57%) or the 7% weight loss goal (38 vs. 41%). Our findings suggest that participants receiving the DPP through telehealth have similar rates of participation and achieve similar weight loss as participants attending the program on-site.

Effectiveness of an Adapted Diabetes Prevention Program Lifestyle Intervention in Older and Younger Adults.

OBJECTIVES: To compare participation, self-monitoring behaviors, and weight loss outcomes in older and younger participants in an adapted Diabetes Prevention Program (DPP) lifestyle intervention. DESIGN: Pre- and postevaluation of outcomes in participants enrolled in the Montana Cardiovascular Disease (CVD) and DPP lifestyle intervention from 2008 through 2012. SETTING: Community. PARTICIPANTS: Adults at high risk for CVD and type 2 diabetes mellitus (N = 3,804). MEASUREMENTS: Number of core (16 weekly sessions) and postcore (6 monthly sessions) intervention sessions attended, weekly self-monitoring of fat intake and minutes of physical activity, weight loss outcomes and achievement of the weight loss goal, and improvements in CVD-related risk factors. RESULTS: Participants aged 65 and older were significantly more likely to attend more intervention sessions, self-monitor their fat intake, and achieve the physical activity and weight loss goals than those younger than 65. Older and younger participants experienced significant improvements in CVD-related risk factors. CONCLUSION: Older adults at high risk of CVD and diabetes mellitus participating in an adapted DPP lifestyle intervention had higher participation and self-monitoring rates than younger participants, were more likely to achieve physical activity and weight loss goals, and achieved similar CVD risk reduction.

Intensive lifestyle intervention goals can be achieved as effectively with large groups as with small groups.

OBJECTIVE: The purpose of this study was to assess if group size is associated with weight loss outcomes among participants in an adapted diabetes prevention program. METHODS: Adults at high-risk (N=841) for CVD and diabetes were enrolled in the lifestyle intervention in 2011. Multiple logistic regression analyses were used to identify if group size (smaller group<16 participants; larger group ≥16 participants) was independently associated with weight loss outcomes among participants. RESULTS: In the bivariate analyses, participants in the smaller groups compared to those in the larger groups were significantly more likely to have a higher baseline body mass index, to attend fewer intervention sessions, and less likely to self-monitor their fat intake for ≥14 weeks, and to have lost less weight during the core intervention (5.1 kg [SD 4.7] versus 5.8 kg [4.5]). However, analysis adjusting for age, sex, baseline BMI, achievement of the physical activity goal, number of weeks self-monitoring fat intake, and group size, found only two factors to be independently associated with achievement of the 7% weight loss goal: frequency of self-monitoring of fat intake and achievement of the physical activity goal. CONCLUSIONS: Our findings indicate that intensive lifestyle intervention goals can be achieved as effectively with large or small groups.

Capacity of diabetes education programs to provide both diabetes self-management education and to implement diabetes prevention services.

OBJECTIVE: The purpose of this study was to assess the capacity of diabetes self-management education (DSME) programs in urban and rural counties to provide services to patients with diagnosed diabetes, lifestyle services to persons at high risk for developing diabetes, and to assess the potential barriers to providing diabetes prevention services. METHODS: In 2009, the Montana Department of Public Health and Human Services conducted an Internet-based survey of all DSME programs in Montana. RESULTS: Thirty of the 39 (77%) DSME programs completed the survey. Seventy-seven percent of the urban programs and 50% of the rural programs reported a capacity to provide DSME to additional patients with diagnosed diabetes. More than 70% of the urban and the rural programs currently provide lifestyle services to patients with abnormal glucose tolerance but without diabetes. Eighty-four percent of the urban programs and 60% of the rural programs reported a capacity to provide lifestyle services to additional persons at high risk for diabetes. Eighty-five percent of the urban programs and 58% of the rural programs have already implemented or intend to implement a lifestyle intervention service consistent with the Diabetes Prevention Program. Overall, the most frequently reported barriers to implementing a diabetes prevention services were lack of reimbursement (80%) and the lack of staff to provide the service (60%). CONCLUSION: Urban and rural DSME programs in Montana have the capacity to implement both DSME for patients with diagnosed diabetes and diabetes prevention lifestyle services to additional people at high risk for diabetes. Reimbursement for diabetes prevention services is critical to ensure program development and implementation.

Factors associated with achieving a weight loss goal among participants in an adapted Diabetes Prevention Program.

AIMS: To assess the factors associated with achieving the 7% weight loss goal among participants enrolled in an adapted Diabetes Prevention Program (DPP). METHODS: Adults at high-risk (N=989) for CVD and diabetes were enrolled in the lifestyle intervention. Multiple logistic regression analyses were used to identify factors associated with achieving the weight loss goal. RESULTS: Overall 37% of participants achieved the weight loss goal. Participants who were older, male, had a lower baseline BMI, self-monitored their fat and caloric intake more frequently, and who achieved higher levels of physical activity were more likely to achieve the weight loss goal compared to participants without these characteristics. In multivariate analyses more frequent self-monitoring of fat and caloric intake and higher levels of weekly physical activity were the only factors independently associated with participant achievement of the weight loss goal. CONCLUSIONS: In a real-world translation of the DPP lifestyle intervention participants who achieved the weight loss goal were more likely to have monitored their dietary intake frequently and increased their physical activity markedly both in a dose-response relationship. Our findings highlight the importance of supporting participants in lifestyle interventions to initiate and maintain dietary self-monitoring and increased levels of physical activity.

Factors associated with the maintenance or achievement of the weight loss goal at follow-up among participants completing an adapted diabetes prevention program.

AIMS: This study evaluated factors associated with achievement or maintenance of a 7% weight loss goal post intervention among adults at high-risk for cardiovascular disease (CVD) and diabetes who participated in an adapted Diabetes Prevention Program (DPP) intervention. MATERIALS AND METHODS: High-risk adults completed the intervention in 2008 or 2009 (N=466). In 2010, we conducted a follow-up survey of participants to assess characteristics, behaviors and barriers associated with the maintenance or achievement of the weight loss goal. RESULTS: Thirty-nine percent of respondents (73/188) maintained or achieved the goal post intervention. Participants who achieved the goal were more likely to have attended more intervention sessions, and to have lost more weight during the intervention compared to participants who did not achieve the goal. Participants who achieved or maintained the goal post intervention were more likely to engage in behaviors related to weight loss maintenance. DISCUSSION: Our findings suggest maintenance or achievement of a weight loss goal post intervention among participants in an adapted lifestyle intervention is consistent with the original DPP. Our findings also highlight the relationship between maintaining or achieving a weight loss goal post intervention and behaviors that can be reinforced and barriers that can be mitigated.

Implementing a state-based cardiovascular disease and diabetes prevention program.

OBJECTIVE: To evaluate weight loss and cardiometabolic risk reduction achieved through an adapted Diabetes Prevention Program intervention among adults at high risk for cardiovascular disease (CVD) and diabetes. RESEARCH DESIGN AND METHODS: Eight health care facilities implemented a group-based lifestyle intervention beginning in 2008. Participants attended 16 weekly core sessions followed by 6 monthly after core sessions. RESULTS: A total of 1,003 participants were enrolled, 816 (81%) completed the core and 578 (58%) completed the after core. Of participants completing the core and after core, 45 and 49% achieved the 7% weight loss goal, respectively. There were significant improvements in blood pressure, fasting glucose, and LDL cholesterol among participants completing the intervention. CONCLUSIONS: Our findings indicate it is feasible for state-coordinated CVD and diabetes prevention programs to achieve significant weight loss and improve cardiometabolic risk.

Effectiveness of a lifestyle intervention program among persons at high risk for cardiovascular disease and diabetes in a rural community.

PURPOSE: To evaluate the feasibility of translating the Diabetes Prevention Program (DPP) lifestyle intervention into practice in a rural community. METHODS: In 2008, the Montana Diabetes Control Program worked collaboratively with Holy Rosary Healthcare to implement an adapted group-based DPP lifestyle intervention. Adults at high risk for diabetes and cardiovascular disease were recruited and enrolled (N = 101). Participants set targets to reduce fat intake and increase physical activity (> or = 150 mins/week) in order to achieve a 7% weight loss goal. FINDINGS: Eighty-three percent (n = 84) of participants completed the 16-session core program and 65 (64%) participated in 1 or more after-core sessions. Of those completing the core program, the mean participation was 14.4 +/- 1.6 and 3.9 +/- 1.6 sessions during the core and after core, respectively. Sixty-five percent of participants met the 150-min-per-week physical activity goal during the core program. Sixty-two percent achieved the 7% weight loss goal and 78% achieved at least a 5% weight loss during the core program. The average weight loss per participant was 7.5 kg (range, 0 to 19.7 kg), which was 7.5% of initial body weight. At the last recorded weight in the after core, 52% of participants had met the 7% weight loss goal and 66% had achieved at least a 5% weight loss. CONCLUSION: Our findings suggest that it is feasible to implement a group-based DPP in a rural community and achieve weight loss and physical goals that are comparable to those achieved in the DPP.

Adapted diabetes prevention program lifestyle intervention can be effectively delivered through telehealth.

PURPOSE: The purpose of this study was to assess the feasibility of delivering an adapted group-based version of the Diabetes Prevention Program's (DPP) lifestyle intervention through telehealth video conferencing. METHODS: In 2009, the Montana Department of Public Health and Human Services in collaboration with Holy Rosary Heathcare implemented the DPP lifestyle intervention, which was provided to an on-site group in 1 community and simultaneously through telehealth to a second group in a remote frontier community. Participants obtained medical clearance from their primary care physician and were eligible if they were overweight and had 1 or more of the following risk factors: prediabetes, impaired glucose tolerance/impaired fasting glucose (IGT/IFG), a history of gestational diabetes (GDM) or the delivery of an infant >9 pounds, hypertension, or dyslipidemia. RESULTS: A total of 13 and 16 eligible adults enrolled in the on-site and the telehealth program, and 13 (100%) and 14 (88%) participants completed the 16-week program, respectively. Both the on-site and telehealth groups achieved high levels of weekly physical activity and there were no significant differences between groups. Over 45% of on-site and telehealth participants achieved the 7% weight loss goal with the average weight loss per participant greater than 6.4 kg in both groups. CONCLUSIONS: Our findings suggest that it is feasible to deliver an adapted group-based DPP lifestyle intervention through telehealth resulting in weight loss outcomes similar to the original DPP.

Translating the diabetes prevention program into practice in the general community: findings from the Montana Cardiovascular Disease and Diabetes Prevention Program.

PURPOSE: The purpose of this study was to evaluate the feasibility of translating the Diabetes Prevention Program (DPP) lifestyle intervention into practice in the general community. METHODS: In 2008, the Montana Diabetes Control Program, working collaboratively with 4 health care facilities, implemented an adapted group-based DPP lifestyle intervention. Adults at high risk for diabetes and cardiovascular disease were recruited and enrolled (n = 355). Eighty-three percent (n = 295) of participants completed the 16-session program. Participants set targets to reduce fat intake and increase physical activity (>or=150 minutes per week) to achieve a weight loss goal of 7%. RESULTS: Seventy percent of participants achieved the physical activity goal of >or=150 minutes per week. There was a significant decrease among participants' weight from baseline (mean +/- SD, 99.3 +/- 19.7 kg) to week 16 (92.6 +/- 18.8 kg; mean difference, 6.7 +/- 4.0 kg, P < .001). Forty-five percent of the participants achieved the 7% weight loss goal, and 67% achieved at least 5% weight loss. Participants who were 60 years of age and older, had a diagnosis of hypertension, met their physical activity goal of >or=150 minutes per week, and those more frequently monitoring their fat intake were more likely to meet the 7% weight loss goal compared with participants without these characteristics. CONCLUSION: The findings suggest that it is feasible to recruit and retain high-risk participants and achieve weight loss and physical goals in a group setting that are comparable with those achieved in the DPP.

Improving access to quality diabetes education in a rural state: the Montana Quality Diabetes Education Initiative.

PURPOSE: Diabetes self-management education (DSME) is an integral component of diabetes care; however, skilled educators and recognized programs are not uniformly available in rural communities. METHODS: To increase access to quality DSME, the Montana Diabetes Control Program and the Montana chapter of the American Association of Diabetes Educators developed a mentoring program with 3 levels: basic, intermediate, and advanced. All participants were assisted by a volunteer certified diabetes educator (CDE) mentor. In addition, the program provided technical support for recognition through the American Diabetes Association and the Indian Health Service. RESULTS: From 2000 to 2005, 90 individuals participated; 76% were nurses and 21% dietitians. Twenty-seven of the 90 enrollees (30%) completed their structured option, and 13 achieved CDE certification. Most provided services in frontier counties (66%). Statewide, the number of CDEs in Montana increased 46% from 52 in 2000 to 76 in 2005. Twenty-five of the 30 facilities that received technical assistance achieved recognition. Statewide, the number of recognized education programs increased from 2 in 2000 to 22 in 2005. Twelve (55%) of these programs were located in frontier counties. CONCLUSIONS: Mentoring and technical support is an effective method to increase personnel skills for DSME and to increase access to quality education programs in rural areas.

A field-based approach to support improved diabetes care in rural states.

INTRODUCTION: Diabetes care is a challenge in rural areas where primary care practices are faced with limited resources, few clinical information systems, and relative isolation from education programs and diabetes centers with multispecialty teams. This report describes an effective field-based approach to support improved care for patients with diabetes in primary care practices in rural states. METHODS: A collaborative effort between diabetes prevention and control programs in Montana and Wyoming and the University of North Dakota was established to provide support to rural primary care practices for improvement in diabetes care. Field teams from each state diabetes program approached primary care practices. After assessment and orientation of office staff, a computer-based registry was established in each practice. Baseline data were collected in 1997 in Montana and in 1998 in Wyoming; follow-up occurred on July 31, 2004. Health department staff provided ongoing technical support for implementing and evaluating quality-improvement interventions. RESULTS: Forty primary care practices, providing care to more than 7000 patients with diabetes, participated in this quality-improvement effort at follow-up. Of the 37 primary care practices participating in the quality-improvement program for 6 or more months at follow-up, there were significant improvements in Montana in rates of hemoglobin A1c testing, blood glucose control, low-density lipoprotein cholesterol testing, foot and dilated retinal examinations, and pneumococcal vaccinations, and there were significant improvements in pneumococcal vaccinations in Wyoming. CONCLUSION: A field-based approach in which individual practices maintain and use their own registries for both clinical care and quality improvement with ongoing support is a sustainable and an effective strategy for improving diabetes care for rural populations.