Evaluation of a digital diabetes prevention program adapted for the Medicaid population: Study design and methods for a non-randomized, controlled trial

Implementation of a Technology-Enabled Diabetes Self-Management Peer Coaching Intervention for Patients With Poorly Controlled Diabetes: Quasi-Experimental Case Study

BACKGROUND

Patients with diabetes experience worse health outcomes and greater health care expenditure. Improving diabetes outcomes requires involved self-management. Peer coaching programs can help patients engage in self-management while addressing individual and structural barriers. These peer coaching programs can be scaled with digital platforms to efficiently connect patients with peer supporters who can help with diabetes self-management.

OBJECTIVE

This study aimed to evaluate the implementation of a technology-enabled peer coaching intervention to support diabetes self-management among patients with uncontrolled diabetes.

METHODS

MetroPlusHealth, a predominant Medicaid health maintenance organization based in New York City, partnered with Pyx Health to enroll 300 Medicaid patients with uncontrolled diabetes into its 6-month peer coaching intervention. Pyx Health peer coaches conduct at least 2 evidence-based and goal-oriented coaching sessions per month with their assigned patients. These sessions are focused on addressing both behavioral and social determinants of health (SDoH) with the goal of helping patients increase their diabetes self-management literacy, implement self-management behaviors, and reduce barriers to ongoing self-care. Data analyzed in this study included patient demographic data, clinical data (patient's hemoglobin A1c [HbA1c]), and program implementation data including types of behavioral determinants of health and SDoH reported by patients and types of interventions used by peer coaches.

RESULTS

A total of 330 patients enrolled in the peer mentoring program and 2118 patients were considered to be on a waitlist group and used as a comparator. Patients who enrolled in the peer coaching program were older; more likely to be English speakers, female, and African American; and less likely to be White or Asian American or Pacific Islander than those in the waitlist condition, and had similar HbA1c laboratory results at baseline (intervention group 10.59 vs waitlist condition 10.62) Patients in the enrolled group had on average a -1.37 point reduction in the HbA1c score (n=70; pre: 10.99, post 9.62; P<.001), whereas patients in the waitlist group had a -0.16 reduction in the HbA1c score (n=207; pre 9.75, post 9.49; P<.001). Among a subsample of participants enrolled in the program with at least 2 HbA1c scores, we found that endorsement of emotional health issues (β=1.344; P=.04) and medication issues (β=1.36; P=.04) were significantly related to increases in HbA1c.

CONCLUSIONS

This analysis of a technology-enabled 1-on-1 peer coaching program showed improved HbA1c levels for program participants relative to nonprogram participants. Results suggested participants with emotional stressors and medication management issues had worse outcomes and many preferred to connect through phone calls versus an app. These findings support the effectiveness of digital programs with multimodal approaches that include human support for improving diabetes self-management in a typically marginalized population with significant SDoH barriers.

A systematic review of the mechanisms influencing engagement in diabetes prevention programmes for people with pre-diabetes

AIMS

To identify barriers and enablers that influence engagement in and acceptability of diabetes prevention programmes for people with pre-diabetes. The results will provide insights for developing strategies and recommendations to improve design and delivery of diabetes prevention programmes with enhanced engagement and acceptability for people with pre-diabetes.

METHODS

This review used a critical realist approach to examine context and mechanisms of diabetes prevention programmes. Medline, Embase, PsycInfo, Cinahl, Web of Science, Scopus and Pre-Medline were searched for English language studies published between 2000 and 2023. A quality assessment was conducted using Joanna Briggs Institute critical appraisal tools.

RESULTS

A total of 90 papers met inclusion criteria. The included studies used a variety of quantitative and qualitative methodologies. Data extracted focused on barriers and enablers to engagement in and acceptability of diabetes prevention programmes, with seven key mechanisms identified. These included financial, environmental, personal, healthcare, social and cultural, demographic and programme mechanisms. Findings highlighted diverse factors that influenced engagement in preventive programmes and the importance of considering these factors when planning, developing and implementing future diabetes prevention programmes.

CONCLUSIONS

Mechanisms identified in this review can inform design and development of diabetes prevention programmes for people with pre-diabetes and provide guidance for healthcare professionals and policymakers. This will facilitate increased participation and engagement in preventive programmes, potentially reducing progression and/or incidence of pre-diabetes to type 2 diabetes and improving health outcomes.

The Role of Digital Health Technology Interventions in the Prevention of Type 2 Diabetes Mellitus: A Systematic Review

Objectives

Diabetes in the 21st century presents one of the greatest burdens of disease on the global population. Digitally mediated interventions have become imperative in alleviating this disease epidemic. We aimed to systematically review randomized controlled trials (RCTs) on different health technologies for preventing Type 2 diabetes mellitus, and their efficacy in decreasing diabetes risk-related outcomes in at-risk patients in comparison to standard care.

Methods

Five electronic databases were searched between October 2021 and December 2022. Studies including digital health technology interventions used for preventing diabetes development by reducing diabetes risk-related outcomes in at-risk adults (⩾18 years) were identified. Data on glycemic levels, incidence of T2DM, weight, and intervention descriptions were extracted, and the risk of bias (ROB) was assessed.

Results

Nine studies met the inclusion criteria and 5 studies (56%) achieved clinically significant outcomes in at least one of the following: decreased weight (22%), glycemic levels (22%), or incidence of T2DM (11%). Two of the 3 (67%) computer-based interventions effectively reduced the HbA1c levels and mean weight of their study population, and 3 of 6 (50%) mobile based interventions (text messages, mobile app, and telehealth) decreased the incidence of T2DM and HbA1c levels. Four studies each had an overall low ROB and one had a high ROB due to attrition.

Conclusion

Preliminary evidence identified in our review demonstrated that health technologies for diabetes prevention are effective for improving diabetes risk-related outcomes. Future research into digital technology protocol and studies of longer duration and more diverse populations are needed for clinical feasibility.

A culturally and linguistically adapted text-message Diabetes Prevention Program for Latinos: Feasibility, acceptability, and preliminary effectiveness

Despite the general positive outcomes of the Diabetes Prevention Program (DPP), the program's reach, adherence, and effectiveness among Latinos are still suboptimal. Text-message DPP can potentially overcome barriers and improve DPP outcomes for this group. We aimed to assess the feasibility, acceptability, and preliminarily effectiveness of a culturally and linguistically adapted text-message DPP for Latinos. We enrolled 26 eligible Spanish-speaking Latino adults at risk of developing type 2 diabetes (A1c = 5.7%-6.4%, body mass index ≥25) in a 6-month culturally and linguistically adapted text-message DPP. Participants received (i) two to three daily automated text-messages about healthy eating, physical activity, problem-solving skills, lifestyle change motivation, and logistics, (ii) on-demand keyword-driven messages, and (iii) on-demand chat messages with a DPP coach. Outcomes included feasibility (e.g. adherence), acceptability (e.g. satisfaction), and preliminary effectiveness (e.g. weight loss). Twenty-four participants completed the program and follow-up assessments. Participants' mean body weight changed from 191.2 to 186.7 pounds (P = .004); 45.8% of participants lost ≥3%, and 29.2% lost ≥5% of body weight. Body mass index and waist circumference were also reduced [0.9 kg/m2 (P = .003) and 1.1 cm (P = .03), pre-post]. Self-reported physical activity frequency was increased (P = .003). No statistically significant changes in diet quality were found. Most participants were satisfied with the program and perceived it to help prevent diabetes. Our pilot study of an innovative text-message DPP for Latinos demonstrated the program was acceptable, feasible, and potentially effective. Using text-message for DPP can reduce barriers to in-person participation by increasing the program's reach without compromising fidelity and effectiveness.

Increasing the reach of evidence-based interventions for weight management and diabetes prevention among Medicaid patients: study protocol for a pilot Sequential Multiple Assignment Randomised Trial

INTRODUCTION

Over 40% of US adults meet criteria for obesity, a major risk factor for chronic disease. Obesity disproportionately impacts populations that have been historically marginalised (eg, low socioeconomic status, rural, some racial/ethnic minority groups). Evidence-based interventions (EBIs) for weight management exist but reach less than 3% of eligible individuals. The aims of this pilot randomised controlled trial are to evaluate feasibility and acceptability of dissemination strategies designed to increase reach of EBIs for weight management.

METHODS AND ANALYSIS

This study is a two-phase, Sequential Multiple Assignment Randomized Trial, conducted with 200 Medicaid patients. In phase 1, patients will be individually randomised to single text message (TM1) or multiple text messages (TM+). Phase 2 is based on treatment response. Patients who enrol in the EBI within 12 weeks of exposure to phase 1 (ie, responders) receive no further interventions. Patients in TM1 who do not enrol in the EBI within 12 weeks of exposure (ie, TM1 non-responders) will be randomised to either TM1-Continued (ie, no further TM) or TM1 & MAPS (ie, no further TM, up to 2 Motivation And Problem Solving (MAPS) navigation calls) over the next 12 weeks. Patients in TM+ who do not enrol in the EBI (ie, TM+ non-responders) will be randomised to either TM+Continued (ie, monthly text messages) or TM+ & MAPS (ie, monthly text messages, plus up to 2 MAPS calls) over the next 12 weeks. Descriptive statistics will be used to characterise feasibility (eg, proportion of patients eligible, contacted and enrolled in the trial) and acceptability (eg, participant opt-out, participant engagement with dissemination strategies, EBI reach (ie, the proportion of participants who enrol in EBI), adherence, effectiveness).

ETHICS AND DISSEMINATION

Study protocol was approved by the University of Utah Institutional Review Board (#00139694). Results will be disseminated through study partners and peer-reviewed publications.

TRIAL REGISTRATION NUMBER

clinicaltrials.gov; NCT05666323.

The characteristics and acceptance of Technology-Enabled diabetes prevention programs (t-DPP) amongst individuals with prediabetes: A scoping review

AIM AND OBJECTIVE

As rising global prevalence of diabetes burdens an overstrained healthcare system, it would be prudent to employ primary prevention strategies. This review aims to detail characteristics of technology-enabled diabetes prevention programs (t-DPP) and the technology acceptance amongst prediabetic individuals.

DESIGN

A scoping review.

REVIEW METHODS

Summative and direct content analysis.

DATA SOURCES

Seven electronic databases-PubMed, Cochrane, Embase, CINAHL, Scopus, PsycINFO and Web of Science-were searched from inception till 9 June 2022 for primary studies conducted on t-DPP. Initial search identified 2412 unique articles. Removal of duplicates and irrelevant articles resulted in 58 full text articles screened and 17 articles meeting the eligibility criteria. There was no limitation to study type or year of publication, but language was limited to English.

RESULTS

Common t-DPP characteristics include physical activity (n = 17), diet control (n = 16), coaching (n = 12), social support (n = 9) and skills acquisition (n = 12). Technological acceptance of t-DPPs were generally positive as participants found them useful (n = 5) and easy to use (n = 4), with majority of the participants interested (n = 5) and engaging well with it (n = 13). However, personal-, design- and technological-level factors were found to negatively influence t-DPPs acceptance.

CONCLUSION

This review reported a generally positive technological acceptance. The result encourages remote delivery of diabetes prevention programs, offering researchers a guide to t-DPP development. However, it also highlights the need for integration of behavioural change theories and socio-cultural considerations, with gaps in knowledge amongst men and young adults.

IMPLICATIONS FOR NURSING

The success of t-DPP can reinforce clinical advice and sustain health behaviours advocated by nurses. Involvement of diabetes-trained nurses would enable continual risk assessment, monitoring and timely intervention to prevent diabetes and potential complications.

REPORTING METHOD

PRISMA-ScR checklist.

Adapting and Developing A Diabetes Prevention Intervention Programme for South Africa: Curriculum and Tools

The South African Diabetes Prevention Programme (SA-DPP) is a lifestyle intervention targeting individuals at high risk of developing type 2 diabetes mellitus (T2DM). In this paper we describe the mixed-method staged approach that was used to develop and refine the SA-DPP intervention curriculum and the appropriate tools for local resource-poor communities. During the preparation phase, existing evidence on similar DPP interventions was reviewed, focus group discussions with individuals from the target population were conducted as part of a needs assessment, and experts were consulted. The curriculum booklet, a participant workbook and facilitator workbook were developed, and the content was evaluated by experts in the field. The design and layout of the booklet and workbooks needed to be culturally and contextually appropriate. The printed material was evaluated for readability and acceptability by participants of the target population; based on their feedback, the design and layout were refined and the printed material was translated. The suitability of the intervention was tested in a pilot study; based on feedback from the participants and facilitator, the curriculum was revised where needed and finalised. Through this process a context specific intervention and printed materials were developed. A complete evaluation of this culturally relevant model for T2DM prevention in South Africa is pending.

The Barriers and Facilitators of eHealth-Based Lifestyle Intervention Programs for People With a Low Socioeconomic Status: Scoping Review

Background

Promoting health behaviors and preventing chronic diseases through a healthy lifestyle among those with a low socioeconomic status (SES) remain major challenges. eHealth interventions are a promising approach to change unhealthy behaviors in this target group.

Objective

This review aims to identify key components, barriers, and facilitators in the development, reach, use, evaluation, and implementation of eHealth lifestyle interventions for people with a low SES. This review provides an overview for researchers and eHealth developers, and can assist in the development of eHealth interventions for people with a low SES.

Methods

We performed a scoping review based on Arksey and O’Malley’s framework. A systematic search was conducted on PubMed, MEDLINE (Ovid), Embase, Web of Science, and the Cochrane Library, using terms related to a combination of the following key constructs: eHealth, lifestyle, low SES, development, reach, use, evaluation, and implementation. There were no restrictions on the date of publication for articles retrieved upon searching the databases.

Results

The search identified 1323 studies, of which 42 met our inclusion criteria. An update of the search led to the inclusion of 17 additional studies. eHealth lifestyle interventions for people with a low SES were often delivered via internet-based methods (eg, websites, email, Facebook, and smartphone apps) and offline methods, such as texting. A minority of the interventions combined eHealth lifestyle interventions with face-to-face or telephone coaching, or wearables (blended care). We identified the use of different behavioral components (eg, social support) and technological components (eg, multimedia) in eHealth lifestyle interventions. Facilitators in the development included iterative design, working with different disciplines, and resonating intervention content with users. Facilitators for intervention reach were use of a personal approach and social network, reminders, and self-monitoring. Nevertheless, barriers, such as technological challenges for developers and limited financial resources, may hinder intervention development. Furthermore, passive recruitment was a barrier to intervention reach. Technical difficulties and the use of self-monitoring devices were common barriers for users of eHealth interventions. Only limited data on barriers and facilitators for intervention implementation and evaluation were available.

Conclusions

While we found large variations among studies regarding key intervention components, and barriers and facilitators, certain factors may be beneficial in building and using eHealth interventions and reaching people with a low SES. Barriers and facilitators offer promising elements that eHealth developers can use as a toolbox to connect eHealth with low SES individuals. Our findings suggest that one-size-fits-all eHealth interventions may be less suitable for people with a low SES. Future research should investigate how to customize eHealth lifestyle interventions to meet the needs of different low SES groups, and should identify the components that enhance their reach, use, and effectiveness.

Communication strategies in the prevention of type 2 diabetes and gestational diabetes in vulnerable groups: a scoping review

BACKGROUND

The global prevalence of diabetes is nearly 9%, with an upward trend in type 2 diabetes mellitus (T2DM) and gestational diabetes (GDM). Although evidence shows that vulnerable groups are affected disproportionally, these groups are difficult to reach in terms of preventive measures. Currently, there is no gold standard regarding communication strategies and/or public awareness campaigns.

METHODS

We conducted a scoping review in September 2019. Two reviewers independently screened the results of the electronic literature search in several databases, including Medline, EMBASE, and PsycINFO. Extracted data were charted, categorized, and summarized.

RESULTS

All of the included articles (n=24) targeted T2DM; none targeted GDM. We identified the following five different vulnerable groups within the identified studies: migrants (n=9), ethnic groups such as African Americans (n=8), people with low socioeconomic status (n=3), older people (n=1), and people in need of care (n=1). Three categories of communication strategies were identified as follows: adapted diabetes prevention programs (n=21), community health workers (n=5), and technical approaches (n=9).

CONCLUSION

We found different approaches for preventive interventions for T2DM. Some of these approaches were already adapted to known barriers. Communication strategies should be adapted to barriers and facilitating factors to increase participation and motivation.

Current practices, facilitators, and barriers experienced by program providers implementing the National Diabetes Prevention Program in Los Angeles County

Individuals with prediabetes can lower their diabetes risk by participating in the National Diabetes Prevention Program (National DPP), an evidence-based, group lifestyle change program that is taught by a certified lifestyle coach. To date, studies have not explicitly compared National DPP implementation across multiple settings (i.e., types of organizations) to understand comparative setting advantages or challenges to engaging priority groups. The purpose of this study was to gain an in-depth understanding of: (a) the variation in National DPP implementation across clinic, community-based, and digital settings and (b) associated facilitators and barriers. The study focused on three core implementation domains: recruitment, retention, and data reporting. This study used a descriptive, qualitative approach to identify current practices, facilitators, and barriers to National DPP implementation by conducting semistructured key informant interviews in spring 2018 with 12 organizations delivering the National DPP in Los Angeles County. There was a general commonality between in-person settings (clinics and community-based), while the experiences of digital providers were relatively distinct. Recruitment and retention were widely described by all settings as labor- and time-intensive, while data reporting was seen as relatively less burdensome. All respondents reported using multiple recruitment strategies. Lifestyle coaches were seen as key to retention, and they spent substantial time engaging with participants outside of class, which often was not accounted for in program costs. Data reporting was easier for organizations that invested in sophisticated data management systems and had staff with sufficient data experience. This study advances knowledge around the translation of the National DPP in diverse settings in the nation's largest county and highlights opportunities for targeted, setting-specific support.

Real-world insights from launching remote peer-to-peer mentoring in a safety net healthcare delivery setting

Peer mentors have been proven to improve diabetes outcomes, especially among diverse patients. Delivering peer mentoring via remote strategies (phone, text, mobile applications) is critical, especially in light of the recent pandemic. We conducted a real-world evaluation of a remote diabetes intervention in a safety-net delivery system in New York. We summarized the uptake, content, and pre-post clinical effectiveness for English- and Spanish-speaking participants. Of patients who could be reached, 71% (n = 690/974) were enrolled, and 90% of those (n = 618/690) participated in coaching. Patients and mentors had a mean of 32 check-ins, and each patient set an average of 10 goals. 29% of the participants accessed the program via the smartphone application. Among participants with complete hemoglobin A1c data (n = 179), there was an absolute 1.71% reduction (P < .01). There are multiple lessons for successful implementation of remote peer coaching into settings serving diverse patients, including meaningful patient-mentor matching and addressing social determinants.

Web-Based Peer Support Interventions for Adults Living With Chronic Conditions: Scoping Review

Background

Globally, 1 in 3 adults live with multiple chronic conditions. Thus, effective interventions are needed to prevent and manage these chronic conditions and to reduce the associated health care costs. Teaching effective self-management practices to people with chronic diseases is one strategy to address the burden of chronic conditions. With the increasing availability of and access to the internet, the implementation of web-based peer support programs has become increasingly common.

Objective

The purpose of this scoping review is to synthesize existing literature and key characteristics of web-based peer support programs for persons with chronic conditions.

Methods

This scoping review follows the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) extension for scoping reviews guidelines. Studies were identified by searching MEDLINE, CINAHL, Embase, PsycINFO, and the Physiotherapy Evidence Database. Chronic diseases identified by the Public Health Agency of Canada were included. Our review was limited to peer support interventions delivered on the web. Peers providing support had to have the chronic condition that they were providing support for. The information abstracted included the year of publication, country of study, purpose of the study, participant population, key characteristics of the intervention, outcome measures, and results.

Results

After duplicates were removed, 12,641 articles were screened. Data abstraction was completed for 41 articles. There was a lack of participant diversity in the included studies, specifically with respect to the conditions studied. There was a lack of studies with older participants aged ≥70 years. There was inconsistency in how the interventions were described in terms of the duration and frequency of the interventions. Informational, emotional, and appraisal support were implemented in the studied interventions. Few studies used a randomized controlled trial design. A total of 4 of the 6 randomized controlled trials reported positive and significant results, including decreased emotional distress and increased health service navigation, self-efficacy, social participation, and constructive attitudes and approaches. Among the qualitative studies included in this review, there were several positive experiences related to participating in a web-based peer support intervention, including increased compassion and improved attitudes toward the individual’s chronic condition, access to information, and empowerment.

Conclusions

There is limited recent, high-level evidence on web-based peer support interventions. Where evidence exists, significant improvements in social participation, self-efficacy, and health-directed activity were demonstrated. Some studies incorporated a theoretical framework, and all forms of peer support—emotional, informational, and appraisal support—were identified in the studies included in this review. We recommend further research on web-based peer support in more diverse patient groups (eg, for older adults and chronic conditions outside of cancer, cardiovascular disease, and HIV or AIDS). Key gaps in the area of web-based peer support will serve to inform the development and implementation of future programs.

One Drop App With an Activity Tracker for Adults With Type 1 Diabetes: Randomized Controlled Trial

BACKGROUND

In 2017, mobile app support for managing diabetes was available to 64% of the global population of adults with diabetes. One Drop's digital therapeutics solution includes an evidence-based mobile app with global reach, a Bluetooth-connected glucometer, and in-app coaching from Certified Diabetes Educators. Among people with type 1 diabetes and an estimated hemoglobin A_1c level≥7.5%, using One Drop for 3 months has been associated with an improved estimated hemoglobin A_1c level of 22.2 mg/dL (-0.80%). However, the added value of integrated activity trackers is unknown.

OBJECTIVE

We conducted a pragmatic, remotely administered randomized controlled trial to evaluate One Drop with a new-to-market activity tracker against One Drop only on the 3-month hemoglobin A_1c level of adults with type 1 diabetes.

METHODS

Social media advertisements and online newsletters were used to recruit adults (≥18 years old) diagnosed (≥1 year) with T1D, naïve to One Drop's full solution and the activity tracker, with a laboratory hemoglobin A_1c level≥7%. Participants (N=99) were randomized to receive One Drop and the activity tracker or One Drop only at the start of the study. The One Drop only group received the activity tracker at the end of the study. Multiple imputation, performed separately by group, was used to correct for missing data. Analysis of covariance models, controlling for baseline hemoglobin A_1c, were used to evaluate 3-month hemoglobin A_1c differences in intent-to-treat (ITT) and per protocol (PP) analyses.

RESULTS

The enrolled sample (N=95) had a mean age of 41 (SD 11) years, was 73% female, 88% White, diagnosed for a mean of 20 (SD 11) years, and had a mean hemoglobin A_1c level of 8.4% (SD 1.2%); 11% of the participants did not complete follow up. Analysis of covariance assumptions were met for the ITT and PP models. In ITT analysis, participants in the One Drop and activity tracker condition had a significantly lower 3-month hemoglobin A_1c level (mean 7.9%, SD 0.60%, 95% CI 7.8-8.2) than that of the participants in the One Drop only condition (mean 8.4%, SD 0.62%, 95% CI 8.2-8.5). In PP analysis, participants in the One Drop and activity tracker condition also had a significantly lower 3-month hemoglobin A_1c level (mean 7.9%, SD 0.59%, 95% CI 7.7-8.1) than that of participants in the One Drop only condition (mean 8.2%, SD 0.58%, 95% CI 8.0-8.4).

CONCLUSIONS

Participants exposed to One Drop and the activity tracker for the 3-month study period had a significantly lower 3-month hemoglobin A_1c level compared to that of participants exposed to One Drop only during the same timeframe. One Drop and a tracker may work better together than alone in helping people with type 1 diabetes.

TRIAL REGISTRATION

ClinicalTrials.gov NCT03459573; https://clinicaltrials.gov/ct2/show/NCT03459573.

Barriers and Facilitators of National Diabetes Prevention Program Engagement Among Women of Childbearing Age: A Qualitative Study

PURPOSE

The purpose of this study was to understand barriers and facilitators to engagement in a diabetes prevention program for young women at an urban safety-net health care system.

METHODS

Individual semistructured interviews (N = 29) explored motivations, challenges, and successes regarding participation and suggestions for improvement among women aged 18 to 39 years who enrolled in the National Diabetes Prevention Program in the past 2 years. Participants were classified as nonattendees (n = 10), early-withdrawers (n = 9), or completers (n = 10). Interview transcriptions were analyzed using a grounded hermeneutic editing approach.

RESULTS

Qualitative analysis revealed 4 main themes (enrollment, attendance, experience, and suggestions) with multiple subthemes. Most women were motivated to enroll for health and family concerns. Early-withdrawers and nonattendees reported confusion about the program's aim and relevancy, logistical barriers, and lack of connection with fellow participants/coaches. Highly engaged women noted persistent motivation, perceived weight loss, and supportive program relationships.

CONCLUSIONS

Multiple barriers/facilitators for young women appear addressable in future adaptations. Additional research is needed to confirm these findings in other settings and explore implementation and effectiveness of adaptations, with a goal of reducing risks prior to conception.

Evaluation of a Digital Diabetes Prevention Program Adapted for Low-Income Patients, 2016-2018

INTRODUCTION

We examined the effects of a digitally delivered, type 2 diabetes mellitus prevention program (DPP) for a low-income population.

METHODS

We conducted a nonrandomized clinical trial with matched controls. The intervention group was offered a digital DPP, a web-based and mobile-based program including 52 weeks of participation in an educational curriculum, health coaching, and peer support.

RESULTS

A total of 227 participants enrolled. At baseline, 34.6 was the mean body mass index, and 5.8 was the mean HbA_1c. For the intervention group, mean weight loss was 4.4% at the 12-month follow-up.

CONCLUSION

The modified DPP successfully engaged participants and resulted in weight loss. Low-income patients with prediabetes benefitted from a digitally delivered diabetes intervention. This prevention method should be accessible to a low-income population.

The Diabetes Prevention Program for Underserved Populations: A Brief Review of Strategies in the Real World

IN BRIEF This review highlights examples of the translation of the Diabetes Prevention Program (DPP) to underserved populations. Here, underserved populations are defined as groups whose members are at greater risk for health conditions such as diabetes but often face barriers accessing treatment. Strategies to develop and evaluate future DPP translations are discussed.

Virtual Coaching to Enhance Diabetes Care

Rates of diabetes are increasing worldwide and there is not a sufficient clinical workforce to care for these patients. Diabetes-related apps are a feasible way to provide diabetes education to large numbers of people with diabetes but attrition rates are high. Apps enhanced by virtual coaching may be a way to circumnavigate these problems. Virtual coaches are able to address common treatment barriers and other health disparities by providing data-driven individualized support in real time, at any time of day, and from anywhere. Enhanced glycemic benefits have been seen in those who use an app plus virtual coaching versus those who use an app alone, along with clinically meaningful behavior change, psychosocial effects, prolonged engagement, and high levels of satisfaction with the system. More research needs to be done to determine the longitudinal and widespread effects of virtual coaching in different populations.