Diabetes self-management interventions for adults with type 2 diabetes living in rural areas: a systematic literature review

Community-engaged Systems for Population Health Improvement: A Novel Approach to Improve Diabetes Outcomes in Rural Communities

BACKGROUND

Approaches to prevent and manage diabetes at a community population level are hindered because current strategies are not aligned with the structure and function of a community system. We describe a community-driven process based on local data and rapid prototyping as an alternative approach to create diabetes prevention and care management solutions appropriate for each community. We report on the process and provide baseline data for a 3-year case study initiative to improve diabetes outcomes in two rural Nebraska communities.

METHODS

We developed an iterative design process based on the assumption that decentralized decision-making using local data feedback and monitoring will lead to the innovation of local sustainable solutions. Coalitions act as community innovation hubs and meet monthly to work through a facilitated design process. Six core diabetes measures will be tracked over the course of the project using the electronic health record from community clinics as a proxy for the entire community.

RESULTS

Baseline data indicate two-thirds of the population in both communities are at risk for prediabetes based on age and body mass index. However, only a fraction (35% and 12%) of those at risk have been screened. This information led both coalitions to focus on improving screening rates in their communities.

DISCUSSION

In order to move a complex system towards an optimal state (e.g., improved diabetes outcomes), stakeholders must have access to continuous feedback of accurate, pertinent information in order to make informed decisions. Conventional approaches of implementing evidence-based interventions do not facilitate this process.

Personal Agency and Social Supports to Manage Health Among Non-Hispanic Black and Hispanic Men With Diabetes

The prevalence of type 2 diabetes (T2D) is increasing among non-Hispanic Black and Hispanic communities, especially among men who develop this chronic condition at earlier ages. Personal agency and social support are vital aspects to diabetes management. However, less is known about the relationship between these variables among men living with diabetes. The purposes of this study were to identify (1) levels of personal agency to manage health, (2) sources of social supports to manage health based on personal agency levels, and (3) factors associated with lower personal agency to manage health. Cross-sectional data from non-Hispanic Black (n = 381) and Hispanic (n = 292) men aged 40 years or older with T2D were collected using an internet-delivered questionnaire. Three binary logistic regression models were fitted to assess sociodemographics, health indicators, and support sources associated with weaker personal agency to manage health. About 68% of participants reported having the strongest personal agency relative to 32.1% reporting weaker personal agency. Men who relied more on their spouse/partner (odds ratio [OR] = 1.22, p = .025), coworkers (OR = 1.59, p = .008), or faith-based organizations (OR = 1.29, p = .029) for ongoing help/support to improve their health and manage health problems were more likely to have weaker personal agency. Conversely, men who relied more on their health care providers for ongoing help/support to improve their health and manage health problems were less likely to have weaker personal agency to manage health (OR = 0.74, p < .001). Findings suggest personal agency may influence men's support needs to manage T2D, which may also be influenced by cultural, socioeconomics, and the composition of social networks.

Group-based trajectory analysis identifies varying diabetes-related cost trajectories among type 2 diabetes patients in Texas: an empirical study using commercial insurance

BACKGROUND

The trend of Type 2 diabetes-related costs over 4 years could be classified into different groups. Patient demographics, clinical factors (e.g., A1C, short- and long-term complications), and rurality could be associated with different trends of cost. Study objectives are to: (1) understand the trajectories of cost in different groups; (2) investigate the relationship between cost and key factors in each cost trajectory group; and (3) assess significant factors associated with different cost trajectories.

METHODS

Commercial claims data in Texas from 2016 to 2019 were provided by a large commercial insurer and were analyzed using group-based trajectory analysis, longitudinal analysis of cost, and logistic regression analyses of different trends of cost.

RESULTS

Five groups of distinct trends of Type 2 diabetes-related cost were identified. Close to 20% of patients had an increasing cost trend over the 4 years. High A1C values, diabetes complications, and other comorbidities were significantly associated with higher Type 2 diabetes costs and higher chances of increasing trend over time. Rurality was significantly associated with higher chances of increasing trend over time.

CONCLUSIONS

Group-based trajectory analysis revealed distinct patient groups with increased cost and stable cost at low, medium, and high levels in the 4-year period. The significant associations found between the trend of cost and A1C, complications, and rurality have important policy and program implications for potentially improving health outcomes and constraining healthcare costs.

Identification of the Most Suitable Mobile Apps to Support Dietary Approaches to Stop Hypertension (DASH) Diet Self-Management: Systematic Search of App Stores and Content Analysis

Smartphone apps might provide an opportunity to support the Dietary Approaches to Stop Hypertension (DASH) diet, a healthy diet designed to help lower blood pressure. This study evaluated DASH diet self-management apps based on their quality, likely effectiveness, and data privacy/security to identify the most suitable app(s). A systematic search and content analysis were conducted of all DASH diet apps available in Google Play and the Apple App Store in the UK in November 2022. Apps were included if they provided DASH diet tracking. A previous systematic literature review found some commercial apps not found in the app store search, and these were also included in this review. Three reviewers used the App Quality Evaluation Tool (AQEL) to assess each app's quality across seven domains: knowledge acquisition, skill development, behaviour change, purpose, functionality, and appropriateness for adults with hypertension. Domains with a score of 8 or higher were considered high-quality. Two reviewers assessed the apps' data privacy and security and then coded Behaviour change techniques (BCTs) linked to the Theoretical Domain Framework (TDF) underpinning the likely effectiveness of the apps. Seven DASH diet apps were assessed, showing the limited availability of apps supporting DASH diet self-management. The AQEL assessment showed that three apps scored higher than eight in most of the AQEL domains. Nineteen BCTs were used across the apps, linked to nine TDF action mechanisms that may support DASH diet self-management behaviours. Four apps met standards for privacy and security. All seven apps with self-monitoring functionality had sufficient theoretical basis to demonstrate likely effectiveness. However, most had significant quality and data security shortcomings. Only two apps, NOOM and DASH To TEN, were found to have both adequate quality and security and were thus deemed suitable to support DASH diet self-management.

Diabetes-related distress and associated factors among adults with diabetes in Germany: Results of the nationwide study "Disease knowledge and information needs - Diabetes mellitus 2017"

BACKGROUND

Diabetes-related distress (DRD) can affect diabetes management adversely. In lack of population-based data, the frequency and determinants of DRD among adults with diabetes in Germany remain controversial.

METHODS

This study included 1367 adults with diabetes who participated in a nationwide health telephone survey conducted among German adults aged 18 years and older in 2017. The short form of the Problem Areas in Diabetes (PAID-5) scale was used to assess DRD. The associations of high DRD (PAID-5 sum score ≥ 8) with socio-demographics, diabetes-related risk factors, diabetes clinical characteristics as well as quality of self-care and chronic illness care assessed by patients were tested in multivariable logistic regression models.

RESULTS

The overall DRD prevalence was 15.1% (95% confidence intervals, 95% CIs, 12.5-18.0%) with no significant difference between men (14.7%, 95% CIs 11.2-19.1%) and women (15.4%, 11.9-19.8%). In multivariable analyses, DRD was significantly associated with younger age (odds ratio 0.96, 95% CIs 0.94-0.98, per year), immigration background (2.26, 1.16-4.42), current smoking (2.06, 1.14-3.70), insulin use (2.57, 1.45-4.56), and the presence of diabetes-specific complications (1.80, 1.10-2.94) or depressive symptoms (5.34, 3.24-8.81). Among those with depressive symptoms (18,4% of the study population), 38.3% also had DRD, which accounted for 7.0% (95% CIs 5.3-9.3%) of the study population.

CONCLUSION

DRD is a common health problem among adults with diabetes in Germany, and highly correlates with depressive symptoms, current smoking, immigration background, and insulin use. Addressing DRD needs to become an integrative part of ambulatory diabetes care.

Bridging Gaps in Diabetic Nephropathy Care: A Narrative Review Guided by the Lived Experiences of Patient Partners

PURPOSE OF REVIEW

Diabetes affects almost a 10th of the Canadian population, and diabetic nephropathy is one of its main complications. It remains a leading cause of kidney failure despite the availability of effective treatments.

SOURCES OF INFORMATION

The sources of information are iterative discussions between health care professionals and patient partners and literature collected through the search of multiple databases.

METHODS

Major pitfalls related to optimal diabetic nephropathy care were identified through discussions between patient partners and clinician researchers. We identified underlying factors that were common between pitfalls. We then conducted a narrative review of strategies to overcome them, with a focus on Canadian initiatives.

KEY FINDINGS

We identified 5 pitfalls along the diabetic nephropathy trajectory, including a delay in diabetes diagnosis, suboptimal glycemic control, delay in the detection of kidney involvement, suboptimal kidney protection, and deficient management of advanced chronic kidney disease. Several innovative care models and approaches have been proposed to address these pitfalls; however, they are not consistently applied. To improve diabetic nephropathy care in Canada, we recommend focusing initiatives on improving awareness of diabetic nephropathy, improving access to timely evidence-based care, fostering inclusive patient-centered care environment, and generating new evidence that supports complex disease management. It is imperative that patients and their families are included at the center of these initiatives.

LIMITATIONS

This review was limited to research published in peer-reviewed journals. We did not perform a systematic review of the literature; we included articles that were relevant to the major pitfalls identified by our patient partners. Study quality was also not formally assessed. The combination of these factors limits the scope of our conclusions.

American Association of Clinical Endocrinology Clinical Practice Guideline: Developing a Diabetes Mellitus Comprehensive Care Plan-2022 Update

OBJECTIVE

The objective of this clinical practice guideline is to provide updated and new evidence-based recommendations for the comprehensive care of persons with diabetes mellitus to clinicians, diabetes-care teams, other health care professionals and stakeholders, and individuals with diabetes and their caregivers.

METHODS

The American Association of Clinical Endocrinology selected a task force of medical experts and staff who updated and assessed clinical questions and recommendations from the prior 2015 version of this guideline and conducted literature searches for relevant scientific papers published from January 1, 2015, through May 15, 2022. Selected studies from results of literature searches composed the evidence base to update 2015 recommendations as well as to develop new recommendations based on review of clinical evidence, current practice, expertise, and consensus, according to established American Association of Clinical Endocrinology protocol for guideline development.

RESULTS

This guideline includes 170 updated and new evidence-based clinical practice recommendations for the comprehensive care of persons with diabetes. Recommendations are divided into four sections: (1) screening, diagnosis, glycemic targets, and glycemic monitoring; (2) comorbidities and complications, including obesity and management with lifestyle, nutrition, and bariatric surgery, hypertension, dyslipidemia, retinopathy, neuropathy, diabetic kidney disease, and cardiovascular disease; (3) management of prediabetes, type 2 diabetes with antihyperglycemic pharmacotherapy and glycemic targets, type 1 diabetes with insulin therapy, hypoglycemia, hospitalized persons, and women with diabetes in pregnancy; (4) education and new topics regarding diabetes and infertility, nutritional supplements, secondary diabetes, social determinants of health, and virtual care, as well as updated recommendations on cancer risk, nonpharmacologic components of pediatric care plans, depression, education and team approach, occupational risk, role of sleep medicine, and vaccinations in persons with diabetes.

CONCLUSIONS

This updated clinical practice guideline provides evidence-based recommendations to assist with person-centered, team-based clinical decision-making to improve the care of persons with diabetes mellitus.

The need for screening, early diagnosis, and prediction of chronic kidney disease in people with diabetes in low- and middle-income countries-a review of the current literature

Chronic kidney disease (CKD) in people with diabetes is becoming an increasing major public health concern, disproportionately burdening low- and middle-income countries (LMICs). This rising burden is due to various factors, including the lack of disease awareness that results in late referral and the cost of screening and consequent treatment of the comorbid conditions, as well as other factors endemic to LMICs relating to inadequate management of risk factors. We critically assessed the extant literature, by performing searches of Medline via PubMed, EBSCOhost, Scopus, and Web of Science, for studies pertaining to screening, diagnosis, and prediction of CKD amongst adults with diabetes in LMICs, using relevant key terms. The relevant studies were summarized through key themes derived from the Wilson and Jungner criteria. We found that screening for CKD in people with diabetes is generally infrequent in LMICs. Also, LMICs are ill-equipped to appropriately manage diabetes-associated CKD, especially its late stages, in which supportive care and kidney replacement therapy (KRT) might be required. There are acceptable and relatively simple tools that can aid diabetes-associated CKD screening in these countries; however, these tools come with limitations. Thus, effective implementation of diabetes-associated CKD screening in LMICs remains a challenge, and the cost-effectiveness of such an undertaking largely remains to be explored. In conclusion, for many compelling reasons, screening for CKD in people with diabetes should be a high policy priority in LMICs, as the huge cost associated with higher mortality and morbidity in this group and the cost of KRT offers a compelling economic incentive for improving early detection of diabetes in CKD.

A Telehealth Diabetes Intervention for Rural Populations: Protocol for a Randomized Controlled Trial

Background

Diabetes self-management education and support (DSMES) is a crucial component of diabetes care associated with improved clinical, psychosocial, and behavioral outcomes. The American Association of Diabetes Care and Education Specialists, the American Diabetes Association, and the American Academy of Family Physicians all recommend DSMES yet accessing linguistically and culturally appropriate DSMES is challenging in rural areas. The Diabetes One-Day (D1D) program is an established DSMES group intervention that has not been adapted or evaluated in rural communities.

Objective

The specific aims of this paper are (1) to adapt the existing D1D program for use in rural communities, called rural D1D (R-D1D); and (2) to conduct a patient-level randomized controlled trial to examine the effects of R-D1D and standard patient education, guided by the Reach, Effectiveness, Adoption, Implementation, and Maintenance framework.

Methods

This is a protocol for a pilot type II hybrid implementation-effectiveness trial of a culturally adapted virtual DSMES program for rural populations, R-D1D. We will use Boot Camp Translation, a process grounded in the principles of community-based participatory research, to adapt an existing DSMES program for rural populations, in both English and Spanish. Participants at 2 rural primary care clinics (4 cohorts of N=16 plus care partners, 2 in English and 2 in Spanish) will be randomized to the intervention or standard education control. The evaluation is guided by the Reach, Effectiveness, Adoption, Implementation, and Maintenance framework. Patient-level effectiveness outcomes (hemoglobin A_1c, diabetes distress, and diabetes self-care behaviors) will be assessed using patient-reported outcomes measures and a home A_1c test kit. Practice-level and patient-level acceptability and feasibility will be assessed using surveys and interviews.

Results

This study is supported by the National Institute of Nursing. The study procedures were approved, and the adaptation processes have been completed. Recruitment and enrollment started in July 2021.

Conclusions

To our knowledge, this will be the first study to evaluate both effectiveness and implementation outcomes for virtually delivered DSMES, culturally adapted for rural populations. This research has implications for delivery to other rural locations where access to specialty diabetes care is limited.

Trial Registration

ClinicalTrials.gov NCT04600622; https://clinicaltrials.gov/ct2/show/NCT04600622

International Registered Report Identifier (IRRID)

DERR1-10.2196/34255

A Community Health Worker-Led mHealth-Enabled Diabetes Self-Management Education and Support Intervention in Rural Latino Adults: Single-Arm Feasibility Trial (Preprint)

Background

Latinos living in rural South Texas have a higher prevalence of diabetes, but their access to diabetes self-management education and support (DSMES) is limited.

Objective

We aimed to test the feasibility of a community health worker-led, mobile health (mHealth)-based DSMES intervention to reduce disparities in accessing DSMES in underserved rural Latino residents in South Texas.

Methods

This 12-week, single-arm, pre-post trial was delivered by trained community health workers to 15 adults with type 2 diabetes. The intervention consisted of digital diabetes education, self-monitoring, a cloud-based connected platform, and community health worker support. Feasibility was evaluated as retention, actual intervention use, program satisfaction, and barriers to implementation. We also explored the intervention’s effect on weight loss and hemoglobin A_1c (HbA_1c).

Results

All 15 participants were Latino (mean age 61.87 years, SD 10.67; 9/15 female, 60%). The retention rate at posttest was 14 of 15 (93%). On average, the participants completed 37 of 42 (88%) digital diabetes education lessons with 8 participants completing all lessons. Participants spent 81/91 days (89%) step tracking, 71/91 days (78%) food logging, 43/91 days (47%) blood glucose self-monitoring, and 74/91 days (81%) weight self-monitoring. The level of program satisfaction was high. On average, participants lost 3.5 (SD 3.2) kg of body weight (P=.001), while HbA_1c level remained unchanged from baseline (6.91%, SD 1.28%) to posttest (7.04%, SD 1.66%; P=.668).

Conclusions

A community health worker-led mHealth-based intervention was feasible and acceptable to improve access to DSMES services for Latino adults living in rural communities. Future randomized controlled trials are needed to test intervention efficacy on weight loss and glycemic control.

Evaluating the Implementation of the Diabetes Self-Management Program in a Rural Population

The evidence-based Diabetes Self-Management Program (DSMP) has been shown to improve a variety of health-related outcomes, but the program has been challenging to implement in rural areas, and rural dissemination has been low. The purpose of this project was to evaluate the effect of implementing the DSMP on self-reported outcomes in a rural region. Through a collaboration with multiple partners, the Living Well program delivered 28 DSMP workshops from 2017 to 2019. Data were collected to determine whether there were post-intervention changes in patient-reported outcomes on measures of diabetes distress, self-management, and patient activation. In addition, secondary analysis of A1C was abstracted from the medical records of participants with type 2 diabetes who completed at least four sessions of a DSMP workshop between 2017 and 2019 and whose medical records had an A1C value in the year before the program and at least one A1C value >3 months after the program. Statistically significant improvements were seen for the Diabetes Distress Scale (P = 0.0017), the Diabetes Self-Management Questionnaire (P <0.0001) and the 10-item Patient Activation Measure (P <0.0001). There was no evidence of change in A1C over time in analyses of all participants (P = 0.5875), but a consistent though nonsignificant (P = 0.1087) decline in A1C was seen for a subset of participants with a baseline A1C ≥8%. This evaluation provides preliminary support for implementing the DSMP as part of a comprehensive treatment and self-management plan for people living with diabetes in rural areas.

Weight Loss Outcomes With Telemedicine During COVID-19

BACKGROUND

Amidst the COVID-19 pandemic, telemedicine was rapidly implemented to maintain patient care during quarantine. However, there is little data on how this transition may have impacted weight loss outcomes and interventions among patients with overweight or obesity.

METHODS

This was a retrospective observational study of adults who established care for medically managed obesity at the Weill Cornell Comprehensive Weight Control Center during September-November 2019 and May-July 2020 and who completed 6 months of follow-up. Weight loss outcomes and weight management interventions were explored and stratified by patient-provider interaction: in-person visits only, in-person and video visits, and video visits only.

RESULTS

Of 499 charts eligible for review, 245 (49%) returned for their 6-month follow-up visit and were included for analysis. Of 245 patients, 69 had in-person visits only ("in-person"), 85 started in-person and later switched to video visits ("hybrid"), and 91 had video visits only ("video"). All cohorts were predominantly white and female. Median ages were 56, 49, and 49 years; baseline median weights were 98.9, 96.8, and 93.0 kg; and baseline median BMIs were 35.3, 34.4, and 34.0 kg/m² for in-person, hybrid, and video cohorts, respectively. The median percent weight changes over 6 months were not significantly different among cohorts: -4.3% [-8.5, -1.5] in the in-person cohort, -5.6% [-8.7, -2.2] in the hybrid group, and -5.8% [-9.7, -2.4] in the video cohort. The percent of patients who achieved ≥5% weight loss were also similar: 46.4%, 55.3%, and 59.3%, respectively. The median number of visits in the video cohort was more than in the in-person or hybrid groups (5 vs. 4). Median number of anti-obesity medications (AOMs) prescribed was similar among groups. The most common AOMs were metformin (all cohorts) followed by semaglutide 1.0 mg (in-person and video) or topiramate (hybrid).

CONCLUSION

Patients on anti-obesity medications who were followed for 6 months via video or video plus in-person visits (hybrid) experienced clinically significant weight loss. Median number of AOMs were similar among groups, and the most common AOMs were metformin, semaglutide 1.0 mg, and topiramate. More investigation is required to compare telemedicine models with in-person care.

Preferences for Using a Mobile App in Sickle Cell Disease Self-management: Descriptive Qualitative Study

Background

Individuals with sickle cell disease (SCD) and their caregivers may benefit from technology-based resources to improve disease self-management.

Objective

This study explores the preferences regarding a mobile health (mHealth) app to facilitate self-management in adults with SCD and their caregivers living in urban and rural communities.

Methods

Five community listening sessions were conducted in 2 urban and rural communities among adults with SCD and their caregivers (N=43). Each session comprised 4 to 15 participants. Participants were asked questions on methods of finding information about SCD self-care, satisfaction with current methods for finding SCD management information, support for SCD management, important features for development of an mHealth app, and areas of benefit for using an mHealth app for SCD self-management. An inductive-deductive content analysis approach was implemented to identify the critical themes.

Results

Seven critical themes emerged, including the current methods for receiving self-management information, desired information, recommendations for communicating sickle cell self-management information, challenges of disease management, types of support received for disease management, barriers to and facilitators of using an mHealth app, and feature preferences for an mHealth app. In addition, we found that the participants were receptive to using mHealth apps in SCD self-management.

Conclusions

This study expands our knowledge on the use of mHealth technology to reduce information access barriers pertaining to SCD. The findings can be used to develop a patient-centered, user-friendly mHealth app to facilitate disease self-management, thus increasing access to resources for families of patients with SCD residing in rural communities.

New Horizons-Addressing Healthcare Disparities in Endocrine Disease: Bias, Science, and Patient Care

Unacceptable healthcare disparities in endocrine disease have persisted for decades, and 2021 presents a difficult evolving environment. The COVID-19 pandemic has highlighted the gross structural inequities that drive health disparities, and antiracism demonstrations remind us that the struggle for human rights continues. Increased public awareness and discussion of disparities present an urgent opportunity to advance health equity. However, it is more complicated to change the behavior of individuals and reform systems because societies are polarized into different factions that increasingly believe, accept, and live different realities. To reduce health disparities, clinicians must (1) truly commit to advancing health equity and intentionally act to reduce health disparities; (2) create a culture of equity by looking inwards for personal bias and outwards for the systemic biases built into their everyday work processes; (3) implement practical individual, organizational, and community interventions that address the root causes of the disparities; and (4) consider their roles in addressing social determinants of health and influencing healthcare payment policy to advance health equity. To care for diverse populations in 2021, clinicians must have self-insight and true understanding of heterogeneous patients, knowledge of evidence-based interventions, ability to adapt messaging and approaches, and facility with systems change and advocacy. Advancing health equity requires both science and art; evidence-based roadmaps and stories that guide the journey to better outcomes, judgment that informs how to change the behavior of patients, providers, communities, organizations, and policymakers, and passion and a moral mission to serve humanity.

Differences in Secure Messaging, Self-management, and Glycemic Control Between Rural and Urban Patients: Secondary Data Analysis

BACKGROUND

Rural patients with diabetes have difficulty accessing care and are at higher risk for poor diabetes management. Sustained use of patient portal features such as secure messaging (SM) can provide accessible support for diabetes self-management.

OBJECTIVE

This study explored whether rural patients' self-management and glycemic control was associated with the use of SM.

METHODS

This secondary, cross-sectional, mixed methods analysis of 448 veterans with diabetes used stratified random sampling to recruit a diverse sample from the United States (rural vs urban and good vs poor glycemic control). Administrative, clinical, survey, and interview data were used to determine patients' rurality, use of SM, diabetes self-management behaviors, and glycemic control. Moderated mediation analyses assessed these relationships.

RESULTS

The sample was 51% (n=229) rural and 49% (n=219) urban. Mean participant age was 66.4 years (SD 7.7 years). More frequent SM use was associated with better diabetes self-management (P=.007), which was associated with better glycemic control (P<.001). Among rural patients, SM use was indirectly associated with better glycemic control through improved diabetes self-management (95% CI 0.004-0.927). These effects were not observed among urban veterans with diabetes (95% CI -1.039 to 0.056). Rural patients were significantly more likely than urban patients to have diabetes-related content in their secure messages (P=.01).

CONCLUSIONS

More frequent SM use is associated with engaging in diabetes self-management, which, in turn, is associated with better diabetes control. Among rural patients with diabetes, SM use is indirectly associated with better diabetes control. Frequent patient-team communication through SM about diabetes-related content may help rural patients with diabetes self-management, resulting in better glycemic control.

Identification of the Most Suitable App to Support the Self-Management of Hypertension: Systematic Selection Approach and Qualitative Study

BACKGROUND

Smartphone apps are increasingly being used to aid in hypertension self-management, and a large and ever-growing number of self-management apps have been commercially released. However, very few of these are potentially effective and secure, and researchers have yet to establish the suitability of specific hypertension apps to particular contexts.

OBJECTIVE

The aim of this study is to identify the most suitable hypertension app in the context of Saudi Arabia and its health system.

METHODS

This study used a 2-stage approach to selecting the most suitable app for hypertension self-management. First, a systematic selection approach was followed to identify a shortlist of the most suitable apps according to the criteria of potential effectiveness, theoretical underpinning, and privacy and security. Second, an exploratory qualitative study was conducted to select the most suitable from the shortlist: 12 doctors were interviewed, and 22 patients participated in 4 focus groups. These explored participants' attitudes towards self-management apps in general, and their views towards the apps identified via the systematic selection process. The qualitative data were analyzed using framework analysis.

RESULTS

In the first stage, only 5 apps were found to be potentially effective while also having a theoretical underpinning and protecting users' data. In the second stage, both doctors and patients were generally interested in using hypertension apps, but most had no experience with these apps due to a lack of awareness of their availability and suitability. Patients and doctors liked apps that combine intuitive interfaces with a pleasant and clear visual design, in-depth features (eg, color-coded feedback accompanied with textual explanations), activity-specific reminders, and educational content regarding hypertension and potential complications. When the pros and cons of the 5 apps were discussed, 3 apps were identified as being more suitable, with Cora Health rated the highest by the participants.

CONCLUSIONS

Only 5 apps were deemed potentially effective and secure. Patients' and doctors' discussions of the pros and cons of these 5 apps revealed that 3 out of the 5 are clearly more suitable, with the Cora Health app being judged most suitable overall.

Community-based interventions for chronic musculoskeletal health conditions in rural and remote populations: A systematic review

Chronic musculoskeletal health conditions are highly prevalent in rural and remote areas, globally. It is unknown, however, whether interventions shown to be effective for urban populations are also effective for rural and remote populations. The purpose of the review was to evaluate the effectiveness of community-based interventions for management of chronic musculoskeletal health conditions in rural and remote populations. A systematic review was undertaken of the major databases: Medline, Scopus, Web of Science, Rural and Remote Health, Embase and PEDro to April 2020 with no restrictions on language or publication date. Odds Ratios were calculated to report differences between intervention and control groups. Risk of bias was assessed using the PEDro scale. Meta-analysis was not conducted, given the high heterogeneity among studies. From a total of 3,219 articles identified from the title search, five studies were eligible, with a total of 2,831 participants. Interventions evaluated included education alone, exercise with education and ergonomic modifications. Community-based education and exercise led to significantly reduced chronic musculoskeletal pain [OR = 1.85 (95% CI 1.22, 2.82)] compared with controls. Ergonomic stove installation significantly reduced average prevalence of back pain (0.25% reduction in pain prevalence; p < .05); however, no significant effect [OR = 1.02 (0.63, 1.65)] was found when transformed to Odds Ratio. There were divergent findings for education programmes alone: one study reported a positive effect [OR = 1.78 (1.27, 2.49)], while another reported no significant effect [delivered either in home [OR: 1.21 (0.78, 1.86)] or in small groups [OR = 0.95 (0.60, 1.51)]. A significant improvement in knowledge was found with community-based education delivered in participants' homes [SMD: 1.27 (1.01, 1.54)], in small groups [SMD: 0.79 (0.53, 1.06)], using traditional puppetry [SMD: 4.79 (4.51, 5.06)], and with education and exercise [SMD: 0.29 (0.06, 0.52)]. There is low quality evidence that education and/or exercise improves knowledge of arthritis, and the effectiveness of ergonomic interventions on pain was unclear.

Burden and management of type 2 diabetes in rural United States

In the United States, rural areas have a higher burden of type 2 diabetes (T2DM) compared to urban areas. However, there is limited information on risk factors and interventions that improve the primary prevention and management of T2DM in rural areas. To synthesize current knowledge on T2DM in rural areas and to guide healthcare providers and policy makers, we reviewed five scientific databases and the grey literature over the last decade (2010-2020). We described classification systems for rurality and the T2DM burden based on rurality and region (West, South, Midwest, and Northeast). We highlighted risk factors for T2DM in rural compared to urban areas, and summarized interventions to screen and manage T2DM based on opportunistic screening, T2DM self-management, community-based initiatives, as well as interventions targeting comorbidities and T2DM. Several studies identified the co-existence of T2DM and depression/psychological symptoms, which could reduce adherence to non-pharmacologic and pharmacologic management of T2DM. We highlighted the role of technology in education and counselling of patients with geographic and financial barriers to accessing care, which is exacerbated by the SARS-CoV-2 coronavirus disease-19 pandemic. We identified knowledge gaps and next steps in improving T2DM care in rural areas. There is an urgent need for interventions tailored to rural areas given that rural Americans currently experience a disproportionate burden of T2DM and are encumbered by its associated morbidity, mortality, and loss in economic productivity.

Motiva.DM2 project. A pilot behavioral intervention on diet and exercise for individuals with type 2 diabetes mellitus

AIM

The purpose of this study was to assess the efficacy of an educational intervention based on the Behavior Change Wheel (BCW) framework for individuals with type 2 diabetes mellitus (DM2) on dietary and exercise behavior in a Spanish region.

METHODS

A two-arm pilot research was developed. The intervention consisted of a 6-month period with guidelines and 4 in-person interventions. The outcome was changes in behaviors, motivation, competence, autonomy, social support to implement the recommendations, HbA1c, and body composition.

RESULTS

n = 111 patients were recruited. Individuals in the intervention experienced a significative improvement on adherence to dietary recommendations (+1.23; p = 0.026), exercise (+0.86; p = 0.001), and a decrease in HbA1c levels (-0.6%; p = 0.002) and BMI (-0.73; p < 0.001).

CONCLUSION

The intervention for DM2 individuals, based on the BCW framework, developed, and implemented by primary care nurses has been effective in improving the adherence to healthy eating, exercise, HbA1c levels, and body composition.

Pilot Mobile Phone Intervention in Promoting Type 2 Diabetes Management in an Urban Area in Ghana: A Randomized Controlled Trial

PURPOSE

The purpose of the study was to evaluate the feasibility and effectiveness of a nurse-led mobile phone call intervention on glycemic management and adherence to self-management practices among patients with type 2 diabetes mellitus (T2DM) in Ghana.

METHODS

This was a pilot randomized controlled trial to compare diabetes care as usual to a mobile phone call intervention delivered by nurses in addition to care as usual over a 12-week period in a tertiary referral hospital in Ghana. Sixty patients with T2DM were randomized to either the intervention or the control arm. The intervention group received up to 16 mobile phone calls (mean duration = 12 minutes) from a diabetes specialist nurse in addition to their care as usual. The control group received only care as usual. The primary outcome was the change in A1C over the 12-week period. The secondary outcomes were changes in self-reported adherence to medication and diabetes self-management measures over the 12-week period.

RESULTS

Mean baseline A1C was comparable between the intervention and control groups (9.54%, SD = 2.00% vs 9.07%, SD = 1.72%, P = .334). After 12 weeks, A1C was significantly lower in the intervention group compared to the control group. The difference in mean A1C in the control group rose by +0.26 ± 1.30% (P = .282; 95% CI, -0.23 to 0.75), whereas that of the intervention group reduced by -1.51 ± 2.67% (P = .004; 95% CI, -2.51 to -0.51). No improvements in self-management were recorded in the control group. In the intervention group, however, the only significant improvement was recorded in the area of foot care practices. Participant recruitment and retention were 100% without any attrition. About 87% (n = 26) of the intervention group completed at least 70% (≥11) of the calls. At the end of the trial, participants who received the intervention rated their satisfaction as 89.3% on average.

CONCLUSION

A mobile phone follow-up call by nurses emphasizing adherence to self-management practices is feasible and can improve short- to medium-term glycemic management among patients with T2DM.

Barriers and solutions to implementing a pragmatic diabetes education trial in rural primary care clinics

INTRODUCTION

The purpose of this report is to describe barriers and solutions to the implementation and optimization of a pragmatic trial that tests an evidence-based, patient-centered, low literacy intervention promoting diabetes self-care in rural primary care clinics.

METHODS

The two-arm pragmatic trial has been implemented in six rural family medicine clinics in Arkansas. It tests a self-management education and counseling intervention for patients with type 2 diabetes compared to enhanced usual care. Barriers and solutions were identified as issues arose and through interviews with clinic directors and clinic administrators and a focus group, interviews, and tracking reports with clinic health coaches who delivered the intervention.

RESULTS

Barriers to optimizing enrollment, intervention delivery, and data collection were addressed through targeted education of and relationship building with leadership, changing enrollment oversight, and ongoing training of health coaches.

CONCLUSIONS

Successful implementation and optimization of this pragmatic clinical trial in rural primary care clinics was achieved through establishing common goals with clinic leadership, minimizing demands on clinic staff and administration, frequent contact and ongoing support of health coaches, and collaborative troubleshooting of issues with delivering the intervention.

Managing Diabetes in Hard to Reach Populations: A Review of Telehealth Interventions

PURPOSE OF REVIEW

Diabetes mellitus is a leading chronic disease worldwide. Access to diabetes care varies widely and is influenced by multiple factors including social, geographic, and economic conditions. The use of technology to expand healthcare may bridge these barriers and improve access. Our aim was to review the evidence for the role of telehealth to expand access to quality diabetes care.

RECENT FINDINGS

There is evidence that application of technology-based programs to deliver healthcare are both feasible and effective. These programs are accepted by both patients and providers, can reduce healthcare costs, and may redress inequalities in healthcare access. Technology-based care models can improve disease management, enhance efficiency and clinical decision-making, promote patient self-management skills, and promote patient centered care. Future research should focus on implementation of technology-based healthcare delivery programs on a larger scale.

Longitudinal Effects of an Intergenerational mHealth Program for Older Type 2 Diabetes Patients in Rural Taiwan

PURPOSE

The purpose of the study is to test the longitudinal efficacy of a mHealth intervention (Intergenerational Mobile Technology Opportunities Program, IMTOP) for older type 2 diabetes mellitus (T2DM) patients in rural Taiwan. Few mHealth programs targeted rural older adults and the longitudinal effects are unknown.

METHODS

Ninety-seven T2DM patients aged 55+ were recruited from an outpatient in Hualien, Taiwan. The intervention comprised 8-week technology and diabetes self-management training and 4-week technical support. College student tutors facilitated T2DM patients to learn technology. Participants used a diabetes self-management app to track health behaviors. Outcomes measured at baseline and at 4 and 8 months including patient-reported self-care behaviors, T2DM symptoms, clinical outcomes, health resource utilization, and medical expenditure. Linear mixed-effect regressions of repeated measures were conducted for each outcome.

RESULTS

At 4 months, improvements in self-care behaviors were reported in diet, exercise, smoking, and blood glucose testing. Patients paid less endocrinology clinic visits, spent less on endocrinology medications, and improvements in fasting blood glucose and total cholesterol were observed. At 8 months, the statistical significance of improvements in diet and smoking were maintained, and the averaged endocrinology clinic visits remained less than baseline. However, more frequent occurrence of diabetes symptoms were reported at both follow-ups.

CONCLUSIONS

IMTOP had lasting effects on diet and decreased smoking behavior, clinic visits, and medication costs over 8 months. Self-monitoring through an app increased awareness and may explain the increased reporting of diabetes symptoms. IMTOP is a promising model for promoting T2DM self-management in rural areas.

Using Mobile Health Tools to Engage Rural Underserved Individuals in a Diabetes Education Program in South Texas: Feasibility Study

Background

Access to diabetes education and resources for diabetes self-management is limited in rural communities, despite higher rates of diabetes in rural populations compared with urban populations. Technology and mobile health (mHealth) interventions can reduce barriers and improve access to diabetes education in rural communities. Screening, Brief Intervention, and Referral to Treatment (SBIRT) and financial incentives can be used with mHealth interventions to increase the uptake of diabetes education; however, studies have not examined their combined use for diabetes self-management in rural settings.

Objective

This two-phase Stage 1 feasibility study aimed to use a mixed methods design to examine the feasibility and acceptability of an mHealth diabetes education program combining SBIRT and financial incentives to engage rural individuals.

Methods

In Phase 1, we aimed to develop, adapt, and refine the intervention protocol. In Phase 2, a 3-month quasi-experimental study was conducted with individuals from 2 rural communities in South Texas. Study participants were individuals who attended free diabetes screening events in their community. Those with low or medium risk received health education material, whereas those with high risk or those with a previous diagnosis of diabetes participated in motivational interviewing and enrolled in the 6-week mHealth Diabetes Self-Management Education Program under either an unconditional or aversion incentive contract. The participants returned for a 3-month follow-up. Feasibility and acceptability of the intervention were determined by the rate of participant recruitment and retention, the fidelity of program delivery and compliance, and the participant’s satisfaction with the intervention program.

Results

Of the 98 screened rural community members in South Texas, 72 individuals met the study eligibility and 62 individuals agreed to enroll in the study. The sample was predominately female and Hispanic, with an average age of 52.6 years. The feedback from study participants indicated high levels of satisfaction with the mHealth diabetes education program. In the poststudy survey, the participants reported high levels of confidence to continue lifestyle modifications, that is, weight loss, physical activity, and diet. The retention rate was 50% at the 3-month follow-up. Participation in the intervention was high at the beginning and dissipated in the later weeks regardless of the incentive contract type. Positive changes were observed in weight (mean -2.64, SD 6.01; P<.05) and glycemic control index (-.30; P<.05) in all participants from baseline to follow-up.

Conclusions

The finding showed strong feasibility and acceptability of study recruitment and enrollment. The participants’ participation and retention were reasonable given the unforeseen events that impacted the study communities during the study period. Combining mHealth with SBIRT has the potential to reach individuals with need to participate in diabetes education in rural communities.

The effectiveness of patient activation intervention on type 2 diabetes mellitus glycemic control and self-management behaviors: A systematic review of RCTs

BACKGROUND

Type 2 diabetes mellitus T2DM is a major health challenge and associated with several complications and mortality. Self-management behaviors SMBs such as healthy diet, physical activity, blood glucose self-monitoring, foot care and medication adherence are critical part of diabetic care. Empowered or activated patients, are more likely to practice better SMBs. However, the effectiveness of patient activation intervention on T2DM glycemic control and SMBs is not totally well understood.

AIM

To assess the effectiveness of patient activation intervention on T2DM glycemic control and SMBs.

METHOD

A systematic search was undertaken through five databases to find relevant studies published between 2004 and 2018. We included randomized controlled trials with sample size ≥120 and follow up period of ≥12 months and assess the effectiveness of patient activation intervention on T2DM glycemic control and SMBs.

RESULTS

10 RCTs were identified for analysis. The total sample size is 3728 and the combined mean age is 57.3 years. The combined mean BMI is 31.2kg/m² (obese). Seven intervention demonstrated a significant reduction in HbA1c, ranged from 0.36 to 0.80%. All interventions presented an improvement in at least one self-management behavior.

DISCUSSION AND CONCLUSION

Patient activation intervention showed a significant positive effect on T2DM glycemic control and SMBs, particularly physical activity, healthy diet, foot care and blood glucose self-monitoring. The effectiveness on SMBs was seen across different intervention strategies, modes of delivery, length of intervention, and number of providers. Better effectiveness on HbA1c was associated with poorly controlled participants, culturally tailored-intervention, and in-person sessions intervention combined with telephone calls follow up.

Impact of a community-based approach to patient engagement in rural, low-income adults with type 2 diabetes

OBJECTIVE

This secondary analysis examined the relationships between Patient Activation Measure (PAM) scores, use of health services, and HgA1C.

DESIGN

A feasibility study was conducted for a community-based intervention for high-risk adults with uncontrolled diabetes. Data were collected at baseline and monthly, including PAM and modified Diabetes Self-Management Assessment Report Tool.

INTERVENTION

Participants (n = 58) were randomized to a 3-month nurse (RN) telephone management or community health worker (CHW) in-home intervention, focusing on medication adherence, timely follow-up, diabetes self-management coaching, and linkage to resources.

RESULTS

Sample was mostly female (73%), African-American (90%), low income (75%), high school education or less (80%), and mean age of 59 years. A positive association between PAM score and self-reported diabetes care recommendations was found (r = .356, p = .014) and significant correlation between baseline PAM score and HgA1C levels (r = -.306, p = .029). A paired samples t test showed statistically significant increases in PAM scores in the CHW intervention group (mean increase +8.5, CI [+2.49 to +14.65]); baseline (M = 60.31, SD = 13.3) to end of study ([M = 68.89, SD = 16.39], t(22) = 2.924, p = .008 [two-tailed]).

CONCLUSION

A community-based approach to diabetes management demonstrated a positive effect on patient activation. Although disparities in health care access among rural, low-income populations exist, community-based interventions show potential for improving patient engagement in diabetes management and recommended health services.

TeDia - A Telemedicine-Based Treatment Model for Inpatient and Interprofessional Diabetes Care

INTRODUCTION

The proportion of hospitalized patients with diabetes as a secondary diagnosis increases continuously. Therefore, we have developed a team-based interprofessional and telemedicine-based diabetes management system named TeDia ("Telemedical Diabetology") and implemented it in an inpatient setting. The aim of the retrospective real-world study was to show the clinical impact of TeDia following its implementation.

MATERIAL AND METHODS

TeDia is characterized by an interpersonal and telemedicine-based exchange of hospital routine data between specially trained nurses ("diabetes managers") and external diabetologists. It was implemented in three acute hospitals of the Düsseldorf Catholic Hospital Group in Düsseldorf, Germany. Clinical awareness of diabetes, diabetes-related complications and diagnosis-related group (DRG)-based revenues were analyzed using ICD routine coding. Furthermore, the frequency of HbA1c determinations as well as hospitalization days were investigated.

RESULTS

Before (2010), during (2012) and after the implementation of TeDia (2014), the number of patients with ICD coding for diabetes, decompensated diabetes, diabetic neuropathy, diabetic nephropathy as well as complicated diabetes increased by +18%, +93%, +101%, +113% and +89%, respectively. Using the same DRG grouper, revenues increased by +53% (from 27 (2013) to 42 (2014) DRG points). Frequency of HbA1c determinations rose by +85%, whereas the time for an average length of stay decreased by -12% (-0, 91 days) in comparison to patients without diabetes.

CONCLUSION

TeDia improved clinical awareness for diabetes and its complications. This new treatment model increased revenues and reduced hospital days indicating enhanced treatment quality. Our findings emphasize the necessity of novel technologies in inpatient settings for the improvement of efficacy, safety and efficiency of diabetes care.

Diabetes Self-Management Education (DSME) - Effect on Knowledge, Self-Care Behavior, and Self-Efficacy Among Type 2 Diabetes Patients in Ethiopia: A Controlled Clinical Trial

PURPOSE

Diabetes patients must be equipped with the necessary knowledge to confidently undertake appropriate self-care activities. We prepared a diabetes self-management education (DSME) intervention and assessed how it affected patients' self-reported levels of diabetes knowledge, self-care behaviors, and self-efficacy.

PATIENTS AND METHODS

A before-and-after, two-group intervention study was conducted at Jimma University Medical Centre among adult patients with type 2 diabetes. At baseline, we randomly assigned 116 participants to the DSME intervention and 104 to a comparison group. Six interactive DSME sessions supported by an illustrative handbook and fliers, experience-sharing, and take-home activities were administered to the intervention group by two nurses during a six-month period. Diabetes knowledge, self-care behaviors, and self-efficacy were measured at baseline and at nine months following the commencement of DSME intervention (endpoint) in both groups.

RESULTS

At the endpoint, data from 78 intervention group participants and 64 comparison group participants were included in final analysis. The difference in the mean Diabetes Knowledge Scale scores before and after the DSME intervention was significantly greater in the intervention group (p = 0.044). The measured self-care behaviors included diet, exercise, glucose self-monitoring, footcare, smoking, alcohol consumption, and khat chewing. The mean number of days per week on which the intervention group participants followed general dietary recommendations increased significantly at the endpoint (p = 0.027). The intervention group followed specific dietary recommendations (p = 0.019) and performed footcare (p = 0.009) for a significantly greater number of days. There were no significant differences within or between the groups in other self-reported diabetes self-care behavior regimens or in diabetes self-efficacy.

CONCLUSION

Our study found significant improvements in the intervention participants' diabetes knowledge scores and in their adherence to dietary and footcare recommendations. This demonstrates that our DSME intervention may be of clinical importance in developing countries such as Ethiopia.

TRIAL REGISTRATION

ClinicalTrials.gov, Identifier NCT03185689, retrospectively registered on June 14, 2017: https://clinicaltrials.gov/ct2/show/NCT03185689.

Smartphone Apps to Support Self-Management of Hypertension: Review and Content Analysis

Background

Hypertension is a widespread chronic disease, and its effective treatment requires self-management by patients. Health-related apps provide an effective way of supporting hypertension self-management. However, the increasing range and variety of hypertension apps available on the market, owing to the global growth in apps, creates the need for patients and health care professionals to be informed about the effectiveness of these apps and the levels of privacy and security that they provide.

Objective

This study aimed to describe and assess all available apps supporting hypertension self-management in the most popular app stores and investigate their functionalities.

Methods

In January 2018, the UK Apple and Google Play stores were scanned for all free and paid apps supporting hypertension self-management. Apps were included if they were in English, had functionality supporting hypertension self-management, and targeted adult users with hypertension. The included apps were downloaded and their functionalities were investigated. Behavior change techniques (BCTs) linked with the theoretical domain framework (TDF) underpinning potentially effective apps were independently coded by two reviewers. The data privacy and security of the apps were also independently assessed.

Results

A total of 186 hypertension apps that met the inclusion criteria were included in this review. The majority of these apps had only one functionality (n=108), while the remainder offered different combinations of functionalities. A small number of apps had comprehensive functionalities (n=30) that are likely to be more effective in supporting hypertension self-management. Most apps lacked a clear theoretical basis, and 24 BCTs identified in these 30 apps were mapped to 10 TDF mechanisms of actions. On an average, 18.4 BCTs were mapped to 6 TDF mechanisms of actions that may support hypertension self-management behaviors. There was a concerning absence of evidence related to the effectiveness and usability of all 186 apps, and involvement of health care professionals in the app development process was minimal. Most apps did not meet the current standards of data security and privacy.

Conclusions

Despite the widespread accessibility and availability of smartphone apps with a range of combinations of functionalities that can support the self-management of hypertension, only a small number of apps are likely to be effective. Many apps lack security measures as well as a clear theoretical basis and do not provide any evidence concerning their effectiveness and usability. This raises a serious issue, as health professionals and those with hypertension have insufficient information to make decisions on which apps are safe and effective.

Effectiveness of interventions to improve cardiovascular healthcare in rural areas: a systematic literature review of clinical trials

The objective of this systematic literature review is to examine the impact of interventions to improve cardiovascular disease healthcare provided to people living in rural areas. Systematic electronic searches were conducted in Medline, CINAHL, Embase, Scopus, and Web of Knowledge in July 2018. We included clinical trials assessing the effectiveness of interventions to improve cardiovascular disease healthcare in rural areas. Study eligibility assessment, data extraction, and critical appraisal were undertaken by two reviewers independently. We identified 18 trials (18 interventions). They targeted myocardial infarction (five interventions), stroke (eight), and heart failure (five). All the interventions for myocardial infarction were based on organizational changes (e.g. implementation of mobile coronary units). They consistently reduced time to treatment and decreased mortality. All the interventions for heart failure were based on the provision of patient education. They consistently improved patient knowledge and self-care behaviour, but mortality reductions were reported in only some of the trials. Among the interventions for stroke, those based on the implementation of telemedicine (tele-stroke systems or tele-consultations) improved monitoring of stroke survivors; those based on new or enhanced rehabilitation services did not consistently improve mortality or physical function; whereas educational interventions effectively improved patient knowledge and behavioural outcomes. In conclusion, a number of different strategies (based on enhancing structures and providing patient education) have been proposed to improve cardiovascular disease healthcare in rural areas. Although available evidence show that these interventions can improve healthcare processes, their impact on mortality and other important health outcomes still remains to be established.

Rationale and development of a randomized pragmatic trial to improve diabetes outcomes in patient-centered medical homes serving rural patients

Proper diabetes self-care requires patients to have considerable knowledge, a range of skills, and to sustain multiple health behaviors. Self-management interventions are needed that can be readily implemented and sustained in rural clinics with limited resources that disproportionately care for patients with limited literacy. Researchers on our team developed an evidence-based, patient-centered, low literacy intervention promoting diabetes self-care that includes: 1) the American College of Physicians (ACP) Diabetes Guide that uses plain language and descriptive photographs to teach core diabetes concepts and empower patients to initiate behavior change; 2) a brief counseling strategy to assist patients in developing short-term, explicit and attainable goals for behavior change ('action plans'); and 3) a training module for health coaches that prepares them to assume educator/counselor roles with the Diabetes Guide as a teaching tool. While the intervention has previously been field tested and found to significantly improve patient knowledge, self-efficacy, and engagement in related health behaviors, its optimal implementation is not known. This project took advantage of a unique opportunity to modify and disseminate the ACP health literacy intervention among patients with type 2 diabetes cared for at rural clinics in Arkansas that are Patient-Centered Medical Homes (PCMH). These practices all had health coaches that could be leveraged to provide chronic disease self-management mostly via phone, but also at the point-of-care. Hence we conducted a patient-randomized, pragmatic clinical trial in 6 rural PCMHs in Arkansas, targeting individuals with uncontrolled type 2 diabetes.

Patient Engagement in Type 2 Diabetes: A Collaborative Community Health Initiative

Purpose The purpose of this study was to describe the effects of an innovative rural community-based, diabetes self-management education and support (DSMES) program on patient behaviors and outcomes. Methods A 12-month pre-post study design with physiological data collection at program initiation, 16 weeks, and 6 and 12 months postenrollment was used for program assessment. The program consisted of an American Diabetes Association-accredited curriculum provided by the hospital and interfaced with a YMCA curriculum promoting lifestyle change. The 28-session program was delivered over a 1-year period. Results The sample size was 115. Participants were primarily white and female, with a mean age of 57 years. Mean body mass index (BMI) at program initiation was 37; mean A1C was 8.5 (69.4 mmol/mol). Significant reductions were obtained in weight, BMI (at 16 weeks), and A1C (at 6 months); these reductions were sustained at 12 months. Medication intake was significantly reduced, and diabetes-related emergency department visits were below national averages. Conclusions Results support the positive impact of a year-long, community-based, healthy behavior, DSMES program on health outcomes and overall costs of care delivery in the rural setting.

Estimated Cost Savings: Everyone With Diabetes Counts (EDC) Program

Everyone with Diabetes Counts (EDC) is a national disparities reduction program funded by the Centers for Medicare & Medicaid Services to improve outcomes in the underserved minority, diverse, and rural populations. This analysis evaluates West Virginia's pilot program of diabetes self-management education (DSME), one component of EDC. We frequency-matched 422 DSME completers to 1688 others by demographics and enrollment from Medicare fee-for service claims. We estimated savings associated with reduced hospitalizations in multivariable negative binomial models. DSME completers had 29% fewer hospitalizations (adjusted P < .0069). We estimated savings of $35 900 per 100 DSME completers in West Virginia.

Characterizing Active Ingredients of eHealth Interventions Targeting Persons With Poorly Controlled Type 2 Diabetes Mellitus Using the Behavior Change Techniques Taxonomy: Scoping Review

BACKGROUND

The behavior change technique taxonomy v1 (BCTTv1; Michie and colleagues, 2013) is a comprehensive tool to characterize active ingredients of interventions and includes 93 labels that are hierarchically clustered into 16 hierarchical clusters.

OBJECTIVE

The aim of this study was to identify the active ingredients in electronic health (eHealth) interventions targeting patients with poorly controlled type 2 diabetes mellitus (T2DM) and relevant outcomes.

METHODS

We conducted a scoping review using the BCTTv1. Randomized controlled trials (RCTs), studies with or pre-post-test designs, and quasi-experimental studies examining efficacy and effectiveness of eHealth interventions for disease management or the promotion of relevant health behaviors were identified by searching PubMed, Web of Science, and PsycINFO. Reviewers independently screened titles and abstracts for eligibility using predetermined eligibility criteria. Data were extracted following a data extraction sheet. The BCTTv1 was used to characterize active ingredients of the interventions reported in the included studies.

RESULTS

Of the 1404 unique records screened, 32 studies fulfilled the inclusion criteria and reported results on the efficacy and or or effectiveness of interventions. Of the included 32 studies, 18 (56%) were Web-based interventions delivered via personal digital assistant (PDA), tablet, computer, and/or mobile phones; 7 (22%) were telehealth interventions delivered via landline; 6 (19%) made use of text messaging (short service message, SMS); and 1 employed videoconferencing (3%). Of the 16 hierarchical clusters of the BCTTv1, 11 were identified in interventions included in this review. Of the 93 individual behavior change techniques (BCTs), 31 were identified as active ingredients of the interventions. The most common BCTs identified were instruction on how to perform behavior, adding objects to the environment, information about health consequences, self-monitoring of the outcomes and/or and prefers to be explicit to avoid ambiguity. Response: Checked and avoided of a certain behavior Author: Please note that the journal discourages the use of parenthesis to denote either and/or and prefers to be explicit to avoid ambiguity. Response: Checked and avoided "and/or" and prefers to be explicit to avoid ambiguity. Response: Checked and avoided, and feedback on outcomes of behavior.

CONCLUSIONS

Our results suggest that the majority of BCTs employed in interventions targeting persons with T2DM revolve around the promotion of self-regulatory behavior to manage the disease or to assist patients in performing health behaviors necessary to prevent further complications of the disease. Detailed reporting of the BCTs included in interventions targeting this population may facilitate the replication and further investigation of such interventions.

Barriers to Remote Health Interventions for Type 2 Diabetes: A Systematic Review and Proposed Classification Scheme

Background

Diabetes self-management involves adherence to healthy daily habits typically involving blood glucose monitoring, medication, exercise, and diet. To support self-management, some providers have begun testing remote interventions for monitoring and assisting patients between clinic visits. Although some studies have shown success, there are barriers to widespread adoption.

Objective

The objective of our study was to identify and classify barriers to adoption of remote health for management of type 2 diabetes.

Methods

The following 6 electronic databases were searched for articles published from 2010 to 2015: MEDLINE (Ovid), Embase (Ovid), CINAHL, Cochrane Central, Northern Light Life Sciences Conference Abstracts, and Scopus (Elsevier). The search identified studies involving remote technologies for type 2 diabetes self-management. Reviewers worked in teams of 2 to review and extract data from identified papers. Information collected included study characteristics, outcomes, dropout rates, technologies used, and barriers identified.

Results

A total of 53 publications on 41 studies met the specified criteria. Lack of data accuracy due to input bias (32%, 13/41), limitations on scalability (24%, 10/41), and technology illiteracy (24%, 10/41) were the most commonly cited barriers. Technology illiteracy was most prominent in low-income populations, whereas limitations on scalability were more prominent in mid-income populations. Barriers identified were applied to a conceptual model of successful remote health, which includes patient engagement, patient technology accessibility, quality of care, system technology cost, and provider productivity. In total, 40.5% (60/148) of identified barrier instances impeded patient engagement, which is manifest in the large dropout rates cited (up to 57%).

Conclusions

The barriers identified represent major challenges in the design of remote health interventions for diabetes. Breakthrough technologies and systems are needed to alleviate the barriers identified so far, particularly those associated with patient engagement. Monitoring devices that provide objective and reliable data streams on medication, exercise, diet, and glucose monitoring will be essential for widespread effectiveness. Additional work is needed to understand root causes of high dropout rates, and new interventions are needed to identify and assist those at the greatest risk of dropout. Finally, future studies must quantify costs and benefits to determine financial sustainability.

Do Web-Based Interventions Improve Well-Being in Type 2 Diabetes? A Systematic Review and Meta-Analysis

BACKGROUND

Poor diabetes self-care can have a negative impact on psychological well-being and quality of life. Given the scarcity of traditional psychological support and the barriers to uptake of and attendance at face-to-face education programs, Web-based interventions are becoming a popular approach to provide an additional platform for psychological support in long-term conditions. However, there is limited evidence to assess the effect of Web-based psychological support in people with type 2 diabetes.

OBJECTIVE

This systematic review is the first review to critically appraise and quantify the evidence on the effect of Web-based interventions that aim to improve well-being in people with type 2 diabetes.

METHODS

Searches were carried out in the following electronic databases: MEDLINE, EMBASE, CINAHL, PsycINFO, and Cochrane Library. Reference lists were hand-searched. A meta-analysis was conducted for depression and distress outcomes.

RESULTS

A total of 16 randomized controlled studies met the inclusion criteria for the systematic review and 9 were included in the meta-analyses. Theories were applied to the majority of the interventions. The most common behavior change techniques were "General information" and "Tracking/monitoring." Interventions with a duration of 2-6 months providing professional-led support with asynchronous and synchronous communication appeared to be associated with significant well-being outcomes. The pooled mean (95% confidence interval) difference between the intervention and control arms at follow-up on depression score was -0.31 (-0.73 to 0.11). The pooled mean difference on distress scores at follow-up was -0.11 (-0.38 to 0.16). No significant improvements in depression (P=.15) or distress (P=.43) were found following meta-analyses.

CONCLUSIONS

While the meta-analyses demonstrated nonsignificant results for depression and distress scores, this review has shown that there is a potential for Web-based interventions to improve well-being outcomes in type 2 diabetes. Further research is required to confirm the findings of this review.

Taking Telemedicine to the Next Level in Diabetes Population Management: a Review of the Endo ECHO Model

Worldwide increases in diabetes prevalence in the face of limited medical resources have prompted international interest in innovative healthcare delivery models. Project ECHO (Extension for Community Healthcare Outcomes) is a "telementoring" program which has been shown to increase capacity for complex disease management in medically underserved regions. In contrast to a traditional telemedicine model which might connect a specialist with one patient, the ECHO model allows for multiple patients to benefit simultaneously by building new expertise. We recently applied the ECHO model to improve health outcomes of patients with complex diabetes (Endo ECHO) living in rural New Mexico. We describe the design of the Endo ECHO intervention and a 4-year, prospective program evaluation assessing health outcomes, utilization patterns, and cost-effectiveness. The Endo ECHO evaluation will demonstrate whether and to what extent this intervention improves outcomes for patients with complex diabetes living in rural New Mexico, and will serve as proof-of-concept for academic medical centers wishing to replicate the model in underserved regions around the world.

Effectiveness of Non-Primary Care-Based Smoking Cessation Interventions for Adults with Diabetes: A Systematic Literature Review

Diabetes is a chronic disease that affects over 25 million adults, many of whom are smokers. The negative health impact of diabetes and comorbid smoking is significant and requires comprehensive interdisciplinary management. The National Diabetes Education Program has identified specific providers, known as PPOD, who include pharmacists, podiatrists, optometrists, and dentists, as key individuals to improve diabetes-related clinical outcomes. These providers are encouraged to work together through interdisciplinary collaboration and to implement evidence-based strategies as outlined in the PPOD toolkit. The toolkit encourages healthcare providers to ask, advise, and assist patients in their efforts to engage in risk reduction and healthy behaviors, including smoking cessation as an important risk factor. While individual PPOD providers have demonstrated effective smoking cessation interventions in adults with other acute and chronic systemic diseases, they lack specific application and focus on adults with diabetes. This literature review examines the current role of PPOD providers in smoking cessation interventions delivered to adults with diabetes.

Relationship between the users' contact time in educational programs on diabetes mellitus and self-care skills and knowledge

Abstract OBJECTIVE Check the relationship between the users' contact time in educational programs and self-care and knowledge variables in diabetes mellitus. METHOD A longitudinal study with a quantitative approach with the participation, in the initial phase, of 263 users linked to Basic Health Units in Belo Horizonte, Brazil during the years 2012 and 2013. The data were collected with respect to the total contact time of the users' participation in the educational program as regards knowledge and self-care in acquired diabetes mellitus. The data were analyzed using the Student t-test for comparison of means, considering a 0.05 significance level. RESULTS The final sample included 151 users. The analysis showed that the improvement in self-care scores was statistically higher during an educational intervention of eight hours or more (p-value <0.05). In relation to the scores for knowledge, there was a statistically significant improvement at the end of the educational program. It was not possible to identify a value for the contact time from which there was an increase in mean scores for the ability of knowledge. CONCLUSION To improve the effectiveness of the promotion of skills related to knowledge and self-care in diabetes mellitus, it is necessary to consider the contact time as a relevant factor of the educational program.