Impact of Telemedicine Versus In-Person Pediatric Outpatient Type 1 Diabetes Visits on Immediate Glycemic Control: Retrospective Chart Review.

BACKGROUND: Children and adolescents with type 1 diabetes require frequent outpatient evaluation to assess glucose trends, modify insulin doses, and screen for comorbidities. Continuous glucose monitoring (CGM) provides a detailed glycemic control assessment. Telemedicine has been increasingly used since the COVID-19 pandemic. OBJECTIVE: To investigate CGM profile parameter improvement immediately following pediatric outpatient diabetes visits and determine if visit modality impacted these metrics, completion of screening laboratory tests, or diabetic emergency occurrence. METHODS: A dual-center retrospective review of medical records assessed the CGM metrics time in range and glucose management indicator for pediatric outpatient diabetes visits during 2021. Baseline values were compared with those at 2 and 4 weeks post visit. Rates of completion of screening laboratory tests and diabetic emergencies following visits were determined. RESULTS: A total of 269 outpatient visits (41.2% telemedicine) were included. Mean time in range increased by 1.63% and 1.35% at 2 and 4 weeks post visit (P=.003 and .01, respectively). Mean glucose management indicator decreased by 0.07% and 0.06% at 2 and 4 weeks post visit (P=.003 and .02, respectively). These improvements in time in range and glucose management indicator were seen across both telemedicine visits and in-person visits without a significant difference. However, patients seen in person were 2.69 times more likely to complete screening laboratory tests (P=.03). Diabetic emergencies occurred too infrequently to analyze. CONCLUSIONS: Our findings demonstrate an immediate improvement in CGM metrics following outpatient visits, regardless of modality. While statistically significant, the magnitude of these changes was small; hence, multiple visits over time would be required to achieve clinically relevant improvement. However, completion of screening laboratory tests was found to be more likely after visits occurring in person. Therefore, we suggest a hybrid approach that allows patient convenience with telemedicine but also incorporates periodic in-person assessment.

Predictors of enrollment in a virtual diabetes prevention program among women veterans: a retrospective analysis.

BACKGROUND: The Diabetes Prevention Program (DPP) is a nationally disseminated lifestyle intervention shown to prevent type 2 diabetes (diabetes). However, enrollment in the program remains variable. We sought to identify patient characteristics associated with enrollment in a virtual DPP program among women Veterans to inform ongoing diabetes prevention efforts. METHODS: We conducted a retrospective analysis of 2021-2024 Department of Veterans Affairs (VA) data collected through the VA Enhancing Mental and Physical Health of Women through Engagement and Retention (EMPOWER) 2.0 Program, an effectiveness-implementation trial to expand access to preventative health services for women Veterans. We included women meeting DPP eligibility criteria (BMI ≥ 25 kg/m2 [or ≥ 23 if Asian] with ≥ 1 risk factor for diabetes [e.g., prediabetes]) who received care at six VA sites implementing virtual DPP. We used logistic regression to examine the association between DPP enrollment and prior use of VA preventive services for weight management or diabetes prevention including the VA MOVE! clinic, Whole Health visits, nutrition visits, weight loss medications, and/or metformin. We adjusted for sociodemographic factors, comorbidities, number of DPP recruitment contacts, and site. RESULTS: A total of 1473 women Veterans received DPP outreach. On average, their age was 53 years (range 20-96), BMI 34 kg/m2, HbA1c 5.9%, 0.7% were Asian, 44% Black, 2% Hispanic, and 44% White. In our adjusted models, prior use of VA preventative services was not significantly associated with DPP enrollment. Younger women (OR:0.97, p = 0.002) and those who received more recruitment contacts (OR:2.63, p < 0.001), were significantly more likely to enroll in DPP. Women with housing instability were significantly less likely to enroll (OR:0.44, p = 0.029). CONCLUSIONS: We found no difference in women Veterans' enrollment in DPP based on prior use of VA weight management and prevention services. Frequency of outreach by VA sites may increase engagement in lifestyle interventions. Virtual DPP may support engagement in preventive lifestyle interventions for diverse groups of women Veterans, as a first program or as a complement to other VA services. TRIAL REGISTRATION: ClinicalTrials.gov, NCT05050266. Registered on 20 September 2021.

Real-world impacts from a decade of Quality Enhancement Research Initiative-partnered projects to translate the Diabetes Prevention Program in the Veterans Health Administration.

OBJECTIVES: To describe the impacts of four Veterans Health Administration (VA) Quality Enhancement Research Initiative (QUERI) projects implementing an evidence-based lifestyle intervention known as the Diabetes Prevention Program (DPP). DATA SOURCES AND STUDY SETTING: 2012-2024 VA administrative and survey data. STUDY DESIGN: This is a summary of findings and impacts from four effectiveness-implementation projects focused on in-person and/or online DPP across VA sites. DATA COLLECTION/EXTRACTION METHODS: Patient demographics, participation data, and key findings and impacts were summarized across reports from the VA Diabetes-Mellitus Quality Enhancement Research Initiative (QUERI-DM) Diabetes Prevention Program (VA DPP) Trial, QUERI-DM Online DPP Trial, the Enhancing Mental and Physical Health of Women through Engagement and Retention (EMPOWER) QUERI DPP Project, and EMPOWER 2.0 QUERI Program. PRINCIPAL FINDINGS: Between 2012 and 2024, four VA QUERI studies enrolled 963 Veterans in DPP across 16 VA sites. All participants had overweight/obesity with one additional risk factor for type 2 diabetes (i.e., prediabetes, elevated risk score, or history of gestational diabetes) and 56% (N = 536) were women. In addition to enhancing the reach of and engagement in diabetes prevention services among Veterans, these projects resulted in three key impacts as follows: (1) informing the national redesign of VA MOVE! including recommendations to increase the number of MOVE! sessions and revise guidelines across 150+ VA sites, (2) enhancing the national evidence base to support online DPP delivery options with citations in national care guidelines outside VA, and (3) demonstrating the importance of gender-tailoring of preventive care services by and for women Veterans to enhance engagement in preventive services. CONCLUSIONS: Over the past decade, the evolution of VA QUERI DPP projects increased the reach of and engagement in diabetes prevention services among Veterans, including women Veterans who have been harder to engage in lifestyle change programs in VA, and resulted in three key impacts informing type 2 diabetes and obesity prevention efforts within and outside of VA.

Energy Intake and Dietary Glycemic Load in Late Morning and Risk of Type 2 Diabetes: The Hispanic Community Health Study/Study of Latinos-A Multicenter Prospective Cohort Study.

OBJECTIVE: To evaluate the association between meal timing and type 2 diabetes risk in U.S. Hispanic/Latino adults. RESEARCH DESIGN AND METHODS: The Hispanic Community Health Study/Study of Latinos (HCHS/SOL) is a multicenter, community-based, prospective cohort study. This study included 8,868 HCHS/SOL adults without diabetes at baseline (2008-2011) and attending the visit 2 examination (2014-2017). Energy intake and glycemic load (GL) in each meal timing were assessed at baseline using two 24-h dietary recalls. Incident diabetes was identified through annual follow-up calls or at visit 2. Hazard ratios (HRs) for incident diabetes were estimated using Cox models, accounting for the complex survey design. RESULTS: The study population (50.9% female) had a baseline mean age of 39.0 (95% CI, 38.4-39.5) years. Over a median (range) follow-up of 5.8 (0.8-9.6) years, 1,262 incident diabetes cases were documented. Greater energy intake and GL in late morning (9:00-11:59 a.m.) were associated with a lower diabetes risk, whereas greater energy intake and GL in other meal timings were not. After accounting for diet quantity and quality, sociodemographic characteristics, lifestyle factors, and chronic conditions, the HRs were 0.94 (95% CI, 0.91-0.97) per 100-kcal energy intake increment and 0.93 (0.89-0.97) per 10-unit GL increment in late morning. Replacing energy intake or GL from early morning (6:00-8:59 a.m.), afternoon (12:00-5:59 p.m.), or evening (6:00-11:59 p.m.) with late-morning equivalents was associated with a comparably lower diabetes risk. CONCLUSIONS: This study identified late morning as a favorable meal timing in Hispanic/Latino adults, providing a novel perspective on type 2 diabetes prevention that warrants confirmation.

The TOTAL trial for weight management participation: A randomized controlled trial protocol.

BACKGROUND: The three types of evidence-based treatment options for adults with overweight and obesity - behavioral weight management, anti-obesity medications (AOM), and bariatric surgery - are underutilized in the Veterans Health Administration (VHA) system. Our objective in this manuscript is to describe the study protocol for an adequately powered randomized controlled trial (RCT) of a behavioral intervention: TOTAL (Teaching Obesity Treatment Options to Adult Learners) to increase patient uptake of obesity treatment. METHODS: In this multi-site, parallel, RCT, eligible Veterans with a body mass index [BMI] ≥ 27 who had not received obesity treatment within the past 12 months were randomly assigned to TOTAL or usual care. TOTAL involves watching an 18-min video that highlights obesity health risks, pros/cons of all three evidence-based obesity treatments, and expected treatment outcomes. It also includes motivational sessions delivered via televideo at 2 weeks, 6 months, and 12 months after the video (target n = 494 participants). The primary outcome is initiation of behavioral weight management treatment within 18 months of randomization. Secondary outcomes include sustained behavioral weight management treatment, initiation of AOM, bariatric surgery referral, and weight change across 18 months. CONCLUSION: TOTAL, which seeks to increase delivery of weight management treatment within the largest integrated health system in the U.S., combines patient education with motivational interviewing components. If efficacious in this trial, further evaluation of intervention effectiveness and implementation throughout the VHA and other healthcare systems would be warranted.

The Rapid Implementation Feedback (RIF) report: real-time synthesis of qualitative data for proactive implementation planning and tailoring.

BACKGROUND: Qualitative methods are a critical tool for enhancing implementation planning and tailoring, yet rapid turn-around of qualitative insights can be challenging in large implementation trials. The Department of Veterans Affairs-funded EMPOWER 2.0 Quality Enhancement Research Initiative (QUERI) is conducting a hybrid type 3 effectiveness-implementation trial comparing the impact of Replicating Effective Programs (REP) and Evidence-Based Quality Improvement (EBQI) as strategies for implementing three evidence-based practices (EBPs) for women Veterans. We describe the development of the Rapid Implementation Feedback (RIF) report, a pragmatic, team-based approach for the rapid synthesis of qualitative data to aid implementation planning and tailoring, as well as findings from a process evaluation of adopting the RIF report within the EMPOWER 2.0 QUERI. METHODS: Trained qualitative staff conducted 125 semi-structured pre-implementation interviews with frontline staff, providers, and leadership across 16 VA sites between October 2021 and October 2022. High-priority topic domains informed by the updated Consolidated Framework for Implementation Research were selected in dialogue between EMPOWER 2.0 implementation and evaluation teams, and relevant key points were summarized for each interview to produce a structured RIF report, with emergent findings about each site highlighted in weekly written and verbal communications. Process evaluation was conducted to assess EMPOWER 2.0 team experiences with the RIF report across pre-implementation data collection and synthesis and implementation planning and tailoring. RESULTS: Weekly RIF updates supported continuous EMPOWER 2.0 team communication around key findings, particularly questions and concerns raised by participating sites related to the three EBPs. Introducing the RIF report into team processes enhanced: team communication; quality and rigor of qualitative data; sensemaking around emergent challenges; understanding of site readiness; and tailoring of REP and EBQI implementation strategies. RIF report findings have facilitated rapid tailoring of implementation planning and rollout, supporting increased responsiveness to sites' needs and concerns. CONCLUSIONS: The RIF report provides a structured strategy for distillation of time-sensitive findings, continuous team communication amid a complex multi-site implementation effort, and effective tailoring of implementation rollout in real-time. Use of the RIF report may also support trust-building by enhancing responsiveness to sites during pre- and early implementation. TRIAL REGISTRATION: Enhancing Mental and Physical Health of Women Veterans (NCT05050266); https://clinicaltrials.gov/study/NCT05050266?term=EMPOWER%202.0&rank=1 Date of registration: 09/09/2021.

Protocol for a prospective, randomized, controlled trial of Mental Contrasting with Implementation Intentions (MCII) to enhance the effectiveness of VA's MOVE! weight management program: WOOP (Wish, Outcome, Obstacle, Plan) VA.

INTRODUCTION: Intensive weight management programs are effective but often have low enrollment and high attrition. Lack of motivation is a key psychological barrier to enrollment, engagement, and weight loss. Mental Contrasting with Implementation Intentions (MCII) is a unique imagery technique that increases motivation for behavior change. We describe our study protocol to assess the efficacy and implementation of MCII to enhance the effectiveness of VA's MOVE! or TeleMOVE! weight management programs using a procedure called "WOOP" (Wish, Outcome, Obstacle, Plan) for Veterans. We hypothesize that WOOP+MOVE! or TeleMOVE! (intervention) will lead to greater MOVE!/TeleMOVE! program engagment and consequently weight loss than MOVE!/TeleMOVE! alone (control). METHOD: Veterans are randomized to either the intervention or control. Both arms receive the either MOVE! or TeleMOVE! weight management programs. The intervention group receives an hour long WOOP training while the control group receives patient education. Both groups receive telephone follow up calls at 3 days, 4 weeks, and 2 months post-baseline. Eligible participants are Veterans (ages 18-70 years) with either obesity (BMI ≥ 30 kg/m2) or overweight (BMI ≥ 25 kg/m2) and an obesity-associated co-morbidity. At baseline, 6 and 12 months, we assess weight, diet, physical activity in both groups. The primary outcome is mean percent weight change at 6 months. Secondary outcomes include changes in waist circumference, diet, physical activity, and dieting self-efficacy and engagement in regular physical activity. We assess implementation using the RE-AIM framework. CONCLUSION: If WOOP VA is found to be efficacious, it will be an important tool to facilitate weight management and improve weight outcomes. CLINICAL TRIAL REGISTRATION: NCT05014984.

Multilevel perceptions of the virtual delivery of the University of California Diabetes Prevention Program on RE-AIM domains due to COVID-19 mandates.

Background: The University of California's Diabetes Prevention Program (UC DPP) Initiative was implemented across all 10 UC campuses in 2018. The COVID-19 pandemic and accompanying mandates required swift changes to program delivery, including pivoting from in-person to virtual delivery (i.e., Zoom). Our goal was to assess multilevel constituent perceptions of the use of a virtual platform to deliver UC DPP due to COVID-19 mandates. Methods: We conducted qualitative interviews with 68 UC DPP participants, coordinators, and leaders to examine the use of virtual platform delivery on the reach, effectiveness, adoption, implementation, and maintenance (RE-AIM) of UC DPP. Transcripts were analyzed using rapid qualitative analysis and emergent themes were categorized using domains corresponding to RE-AIM framework. Results: Among UC DPP participants (n = 42), virtual delivery primarily impacted perceptions of UC DPP effectiveness and implementation. Some participants perceived program effectiveness to be negatively impacted, given their preference for in-person sessions, which they felt provided more engagement, peer support, and accountability. Implementation challenges included problems with virtual format (e.g., "Zoom fatigue"); however, several benefits were also noted (e.g., increased flexibility, maintenance of DPP connections during campus closures). UC DPP coordinators (n = 18) perceived virtual delivery as positively impacting UC DPP reach, since virtual platforms provided access for some who could not participate in-person, and negatively impacting effectiveness due to reduced engagement and lower peer support. UC leaders (n = 8) perceived that use of the virtual format had a positive impact on reach (e.g., increased availability, accessibility) and negatively impacted effectiveness (e.g., less intensive interactions on a virtual platform). Across constituent levels, the use of a virtual platform had little to no impact on perceptions of adoption and maintenance of UC DPP. Conclusion: Perceptions of the reach, effectiveness, and implementation of UC DPP using a virtual platform varied across constituents, although all groups noted a potential negative impact on overall program effectiveness. Unanticipated program adaptations, including virtual delivery, present potential benefits as well as perceived drawbacks, primarily across the effectiveness domain. Understanding differential constituent perceptions of the impact of virtual delivery can help maximize RE-AIM and inform future UC DPP delivery strategies.

Twelve-Month Reach and Effectiveness of a University-Based Diabetes Prevention Initiative.

INTRODUCTION: The University of California (UC) implemented the Diabetes Prevention Program (DPP) to address diabetes and obesity risk. This project examined the reach and effectiveness of this university-based DPP delivery approach. METHODS: This project compared 12-month weight change among three groups of UC beneficiaries with overweight/obesity: (1) those who received invitation letters and enrolled in UC DPP, (2) those mailed invitation letters but did not enroll, and (3) those who were not mailed letters and did not enroll (controls). Using 2012-2022 EHR, administrative and DPP cohort data, an interrupted time series was conducted in 2022-2023 to compare group differences in rate of weight change. RESULTS: Among 6,231 beneficiaries (132 UC DPP aware enrollees, 1,750 DPP aware non-enrollees, 4,349 controls), UC DPP enrollees were older (mean age 49), mostly women (76%), and more diverse (33% Asian, 8% Black, 20% Hispanic, 4% Multi/Other). Over 12 months of follow-up, UC DPP enrollee postenrollment rate of weight loss was -0.68 lbs./month. UC DPP enrollees had significantly greater weight change from pre- to post-enrollment than DPP aware non-enrollees (adjusted Δ-1.02 vs. Δ-0.07 lbs./month, difference= -0.95, p<0.001). Weight change among all participants who received letters with/without DPP enrollment was similar to controls. CONCLUSIONS: UC DPP reached a diverse group and was effective for weight loss at 12-month follow-up. However, UC DPP invitation letters to raise prediabetes and DPP awareness were not associated with significant weight change in the absence of DPP enrollment. University-based approaches to DPP delivery are effective and may enhance reach of DPP among at-risk adults.

The Effectiveness of Shared Decision-making for Diabetes Prevention: 24- and 36-Month Results From the Prediabetes Informed Decision and Education (PRIDE) Trial.

OBJECTIVE: We conducted a cluster-randomized, shared decision-making (SDM) trial offering lifestyle change, metformin, or both options, to adults at risk for diabetes in a primary care network (n = 20 practices). RESEARCH DESIGN AND METHODS: We used propensity score matching to identify control patients and used electronic health record data to compare weight loss at 24 and 36 months of follow-up and diabetes incidence at 36 months of follow-up. RESULTS: In adjusted post hoc analyses, SDM participants (n = 489) maintained modestly greater 24-month weight loss of -3.1 lb and 36-month weight loss of -2.7 lb versus controls (n = 1,430, both comparisons P < 0.001). SDM participants who chose both lifestyle change and metformin sustained weight loss at 36 months of -4.1 lb (P < 0.001 vs. controls). We found no differences in incident diabetes (15% of SDM participants, 14% of control participants; P = 0.64). CONCLUSIONS: This is one of the first studies to demonstrate weight loss maintenance up to 36 months after diabetes prevention SDM.

Differential Impact of a Plan-Led Standardized Complex Care Management Intervention on Subgroups of High-Cost High-Need Medicaid Patients.

Interventions to better coordinate care for high-need high-cost (HNHC) Medicaid patients frequently fail to demonstrate changes in hospitalizations or emergency department (ED) use. Many of these interventions are modeled after practice-level complex care management (CCM) programs. The authors hypothesized that a national CCM program may be effective for some subgroups of HNHC patients, and the overall null effect may obfuscate subgroup-level impact. They used a previously published typology defining 6 subgroups of high-cost Medicaid patients and evaluated program impact by subgroup. The analysis used an individual-level interrupted time series with a comparison group. Intervention subjects were high-cost adult Medicaid patients who enrolled in 1 of 2 national CCM programs implemented by UnitedHealthcare (UHC) (n = 39,687). The comparators were patients who met CCM program criteria but were ineligible due to current enrollment in another UHC/Optum led program (N = 26,359). The intervention was a CCM program developed by UHC/Optum to provide "whole person care" delivering standardized interventions to address medical, behavioral, and social needs for HNHC Medicaid patients, and the outcome was probability of hospitalization or ED use in a given month, estimated at 12 months postenrollment. A reduction in risk of ED utilization for 4 of 6 subgroups was found. A reduction in risk of hospitalization for 1 of 6 subgroups was also found. The authors conclude that standardized health plan led CCM programs demonstrate effectiveness for certain subgroups of HNHC patients in Medicaid. This effectiveness is principally in reducing ED risk and may extend to the risk of hospitalization for a small number of patients.

Enhancing Mental and Physical Health of Women through Engagement and Retention (EMPOWER) 2.0 QUERI: study protocol for a cluster-randomized hybrid type 3 effectiveness-implementation trial.

BACKGROUND: Women Veterans are the fastest-growing segment of Veterans Health Administration (VA) users. The VA has invested heavily in delivering care for women Veterans that is effective, comprehensive, and gender-tailored. However, gender disparities persist in cardiovascular (CV) and diabetes risk factor control, and the rate of perinatal depression among women Veterans is higher than that among civilian women. Challenges such as distance, rurality, negative perception of VA, discrimination (e.g., toward sexual and/or gender minority individuals), and harassment on VA grounds can further impede women's regular use of VA care. Enhancing Mental and Physical Health of Women through Engagement and Retention (EMPOWER) 2.0 builds on work to date by expanding access to evidence-based, telehealth preventive and mental health services for women Veterans with high-priority health conditions in rural and urban-isolation areas. METHODS: EMPOWER 2.0 will evaluate two implementation strategies, Replicating Effective Practices (REP) and Evidence-Based Quality Improvement (EBQI), in supporting the implementation and sustainment of three evidence-based interventions (Virtual Diabetes Prevention Program; Telephone Lifestyle Coaching Program; and Reach Out, Stay Strong Essentials) focused on preventive and mental health care for women Veterans. We will conduct a mixed-methods implementation evaluation using a cluster-randomized hybrid type 3 effectiveness-implementation trial design to compare the effectiveness of REP and EBQI on improved access to and rates of engagement in telehealth preventive lifestyle and mental health services. Other outcomes of interest include (a) VA performance metrics for telehealth care delivery and related clinical outcomes; (b) progression along the Stages of Implementation Completion; (c) adaptation, sensemaking, and experiences of implementation among multilevel stakeholders; and (d) cost and return on investment. We will also generate implementation playbooks for program partners to support scale-up and spread of these and future evidence-based women's health programs and policies. DISCUSSION: EMPOWER 2.0 provides a model for mixed-methods hybrid type 3 effectiveness-implementation trial design incorporating evaluation of performance metrics, implementation progress, stakeholder experience, and cost and return on investment, with the ultimate goal of improving access to evidence-based preventive and mental telehealth services for women Veterans with high-priority health conditions. TRIAL REGISTRATION: ClinicalTrials.gov, NCT05050266 . Registered on 20 September 2021.

A randomized controlled trial of a shared decision making intervention for diabetes prevention for women with a history of gestational diabetes mellitus: The Gestational diabetes Risk Attenuation for New Diabetes (GRAND study).

BACKGROUND: Gestational diabetes mellitus (GDM) is a risk factor for the development of type 2 diabetes. Metformin and lifestyle change through a Diabetes Prevention Program (DPP) are equally effective in preventing diabetes in patients with a GDM history, so women can choose a strategy based on their preferences. This study aims to test whether shared decision making (SDM) can help women with a history of GDM increase adoption of evidence-based strategies and lose weight to lower their risk of incident diabetes in real-world settings. METHODS: This pragmatic randomized controlled trial (RCT) will test the effectiveness of SDM for diabetes prevention among 310 overweight/obese women with a history of GDM and prediabetes from two large health care systems (n = 155 from UCLA Health and n = 155 from Intermountain Healthcare). The primary outcome is the proportion of participants who lose ≥5% body weight at 12 months. Secondary outcomes include uptake of DPP and/or metformin and other patient-reported outcomes such as patient activation and health-related quality of life. Rates of GDM in a subsequent pregnancy will be an exploratory outcome. A descriptive analysis of costs related to SDM implementation will also be conducted. CONCLUSION: This is the first RCT to examine the effectiveness of SDM on weight loss, lifestyle change and/or metformin use, and other patient-reported outcomes in participants with a GDM history at risk of developing diabetes. TRIAL REGISTRATION: ClinicalTrials.gov, NCT03766256. Registered on 6 December 2018.

The Diabetes Health Plan and Healthcare Utilization Among Beneficiaries with Low Incomes.

BACKGROUND: The socioeconomic status (SES) gradient in hospital and emergency room utilization among adults with type 2 diabetes (T2DM) is partially driven by cost-related non-adherence. OBJECTIVE: To test the impact of the Diabetes Health Plan (DHP), a diabetes-specific health plan incorporating value-based insurance design principles on healthcare utilization among low-income adults with T2DM. DESIGN: To examine the impact of the DHP on healthcare utilization, we employed a difference-in-differences (DID) study design with a propensity-matched comparison group. We modeled count and dichotomous outcomes using Poisson and logit models, respectively. PARTICIPANTS: Cohort of adults (18-64) with T2DM, with an annual household income <$ 30,000, and who were continuously enrolled in an employer-sponsored UnitedHealthcare plan for at least 2 years between 2009 and 2014. INTERVENTIONS: The DHP reduces or eliminates out-of-pocket costs for disease management visits, diabetes-related medicines, and diabetes self-monitoring supplies. The DHP also provides access to diabetes-specific telephone case management as well as other online resources. MAIN MEASURES: Number of disease management visits (N = 1732), any emergency room utilization (N = 1758), and any hospitalization (N = 1733), within the year. KEY RESULTS: DID models predicting disease management visits suggested that DHP-exposed beneficiaries had 1.7 fewer in-person disease management visits per year (- 1.70 [95% CI: - 2.19, - 1.20], p < 0.001), on average, than comparison beneficiaries. Models for emergency room (0.00 [95% CI: - 0.06, 0.06], p = 0.966) and hospital utilization (- 0.03 [95% CI: - 0.08, - 0.01], p = 0.164) did not demonstrate statistically significant changes associated with DHP exposure. CONCLUSIONS: While no relationship between DHP exposure and high-cost utilization was observed in the short term, fewer in-person disease management visits were observed. Future studies are needed to determine the clinical implications of these findings.

Cognitive screening among older adults with diabetes across diverse clinic settings.

AIMS: Diabetes increases risk of cognitive dysfunction and dementia, which can make it harder to manage diabetes. We aimed to examine cognitive screening for older adults with diabetes in 1) endocrine (Endo), 2) geriatric (Geri) and 3) multidisciplinary endocrine-geriatric (Geri-Endo), to study differences between these settings and to elucidate risk factors of cognitive dysfunction. METHODS: We performed cognitive screening for subsets of patients ≥ age 65 with diabetes in one large healthcare system. We compared results and differences from the three clinic types and used adjusted multivariate logistic regression models to predict risk of cognitive dysfunction. RESULTS: Among 198 patients screened, those in Geri-Endo (N = 86) and Geri (N = 32) were more likely to have lower Mini-Cog scores, higher prevalence of hypertension and cardiovascular (CV) events. Endo and Geri-Endo patients had longer durations of diabetes, higher incidence of hypoglycemia, and were more likely to use insulin. Age > 75 years (p = 0.0105), previous CV events (p = 0.0006) and body mass index < 30 (p = 0.0115) were significantly associated with lower Mini-Cog scores. CONCLUSIONS: Our study shows that cognitive screening can help identify at risk older adults with diabetes. Thus, yearly screening should be part of routine diabetes care.

Two decades of diabetes prevention efforts: A call to innovate and revitalize our approach to lifestyle change.

The impact of global diabetes prevention efforts has been modest despite the promise of landmark diabetes prevention trials nearly twenty years ago. While national and regional initiatives show potential, challenges remain to adapt large-scale strategies in the real-world that fits individuals and their communities. Additionally, the sedentary lifestyle changes during the COVID-19 pandemic and guidelines that now call for earlier screening (e.g., US Preventative Task Force) will increase the pool of eligible adults worldwide. Thus, a more adaptable, person-centered approach that expands the current toolkit is urgently needed to innovate and revitalize our approach to diabetes prevention. This review identifies key priorities to optimize the population-level delivery of diabetes prevention based on a consensus-based evaluation of the current evidence among experts in global translational programs; key priorities identified include (1) participant eligibility, (2) intervention intensity, (3) delivery components, (4) behavioral economics, (5) technology, and (6) the role of pharmacotherapy. We offer a conceptual framework for a broader, person-centered approach to better address an individual's risk, readiness, barriers, and digital competency.

Association of Type 2 Diabetes Risk Perception With Interest in Diabetes Prevention Strategies Among Women With a History of Gestational Diabetes.

Objectives: The aims of this study were to identify predictors of perception of type 2 diabetes risk in women with a history of gestational diabetes mellitus (GDM) and to determine factors associated with interest in evidence-based strategies for type 2 diabetes prevention. Research Design and Methods: We surveyed women with a history of GDM who had not progressed to type 2 diabetes from a large academic medical center. We used multivariate logistic regression to assess predictors of high levels of perception of type 2 diabetes risk. We also tested associations between risk perception and interest in a lifestyle change program and/or metformin therapy. Results: In our diverse sample of 264 women, 28% were unaware that GDM is a risk factor for incident type 2 diabetes after pregnancy, and 48% believed their personal risk of type 2 diabetes was low. In multivariate analyses, family history of diabetes (odds ratio [OR] 2.2, 95% CI 1.2-4.4) and knowledge of GDM as a risk factor for incident type 2 diabetes (OR 4.5, 95% CI 2.1-9.8) were significant predictors of greater perception of type 2 diabetes risk. Women with higher risk perception were more likely to express interest in a lifestyle change program compared with women with lower risk perception (OR 2.4, 95% CI 1.3-4.5). Conclusion: Although some women are aware that GDM is a risk factor for incident type 2 diabetes, many still perceive their own risk of developing type 2 diabetes as low. Higher risk perception predicted interest in an evidence-based diabetes prevention program, highlighting the importance of personalized risk assessment and communication about risk for women who have had GDM.

Does the diabetes health plan have a differential impact on medication adherence among beneficiaries with fewer financial resources?

BACKGROUND: The Diabetes Health Plan (DHP), a value-based insurance plan that reduces cost sharing, was previously shown to modestly increase employer-level medication adherence. It is unclear how the DHP might impact individuals with different incomes. OBJECTIVE: To examine the impact of the DHP on individual-level medication adherence, by income level. METHODS: This is a retrospective, quasiexperimental study. An employer-level propensity score match was done to identify suitable control employers, followed by individual-level propensity score weighing. These weights were applied to difference-in-difference models examining the effect of the DHP and the effect of income on changes in adherence to metformin, statins, and angiotensin-converting enzymes/angiotensin receptor blockers. The weights were then applied to a differences-in-differences-in-differences model to estimate the differential impact of DHP status on changes in adherence by income group. RESULTS: The study population included 2,065 beneficiaries with DHP and 17,704 matched controls. There were no significant differences in changes to adherence for any medications between beneficiaries enrolled in the DHP vs standard plans. However, adherence to all medications was higher among those with incomes greater than $75,000 (year 1: metformin: +7.3 percentage points; statin +4.3 percentage points; angiotensin-converting enzymes/angiotensin receptor blockers: +6.2 percentage points; P < 0.01) compared with those with incomes less than $50,000. The differences-in-differences-in-differences term examining the impact of income on the DHP effect was not significant for any comparisons. CONCLUSIONS: We did not find significant associations between the DHP and changes in individual-level medication adherence, even for low-income beneficiaries. New strategies to improve consumer engagement may be needed to translate value-based insurance designs into changes in patient behavior. DISCLOSURES: Drs Ettner and Moin received grants from the Centers for Disease Control and Prevention and National Institute of Diabetes and Digestive and Kidney Diseases (Principal Investigator: Carol Mangione). Mr Luchs received support for attending meetings and/or travel (minimal-mileage and hotel on 2 occasions). Mr Chan has an employee benefit to purchase stock for UnitedHealth Group.

Metformin Prescription Rates for Patients with Prediabetes.

PURPOSE: Prediabetes is a serious public health concern, with 34.5% of US adults meeting the criteria for prediabetes. The American Diabetes Association has highlighted metformin therapy as a consideration for individuals with BMI ≥ 35 kg/m2, those aged < 60 years, and women with a history of gestational diabetes. We examined metformin prescription rates among a national sample of commercially insured, higher risk patients with prediabetes. METHODS: We gathered 2012 to 2018 demographic, laboratory, and prescription data for 53,551 patients with prediabetes from the IBM MarketScan research database. Our primary outcome was metformin prescription rates 1 or 3 years after a laboratory confirmation of prediabetes among patients who have a BMI ≥ 35 kg/m2 or are aged < 60 years. RESULTS: Overall, 2.4% (n = 1,124) of patients received a metformin prescription within 1 year of a laboratory confirmed prediabetes result, including 2.4% of patients aged < 60 years and 10.4% of those with BMI ≥ 35 kg/m2. By a 3 year follow-up, 4.1% (n = 1901) received a metformin prescription, including 3.9% of patients aged < 60 years and 14.0% with BMI ≥ 35 kg/m2. Patients who developed type 2 diabetes within the 1 (n = 2,769) or 3 year (n = 7,268) follow-up periods were excluded from analysis. CONCLUSIONS: Few prediabetes patients who were either obese or aged < 60 years received a metformin prescription between 2012 and 2018. Prescription rates increased slightly between 1 and 3 years after a prediabetes diagnosis, so strategies to support timely intervention among higher risk patients with prediabetes are critically needed.