Lessons from Launching the Diabetes Prevention Program in a Large Integrated Health Care Delivery System: A Case Study

Implementation and Evaluation of an Automated Text Message-Based Diabetes Prevention Program for Adults With Pre-diabetes

BACKGROUND

Despite the efficacy of diabetes prevention programs, only an estimated 5% of people with pre-diabetes actually participate. Mobile health (mHealth) holds promise to engage patients with pre-diabetes into lifestyle modification programs by decreasing the referral burden, centralizing remote enrollment, removing the physical requirement of a brick-and-mortar location, lowering operating costs through automation, and reducing time and transportation barriers.

METHODS

Non-randomized implementation study enrolling patients with pre-diabetes from a large health care organization. Patients were exposed to a text message-based program combining live human coaching guidance and support with automated scheduled, interactive, data-driven, and on-demand messages. The primary analysis examined predicted weight outcomes at 6 and 12 months. Secondary outcomes included predicted changes in HbA1c and minutes of exercise at 6 and 12 months.

RESULTS

Of the 163 participants included in the primary analysis, participants had a mean predicted weight loss of 5.5% at six months (P < .001) and of 4.3% at 12 months (P < .001). We observed a decrease in predicted HbA1c from 6.1 at baseline to 5.8 at 6 and 12 months (P < .001). Activity minutes were statistically similar from a baseline of 155.5 minutes to 146.0 minutes (P = .567) and 142.1 minutes (P = .522) at 6 and 12 months, respectively, for the overall cohort.

CONCLUSIONS

In this real-world implementation of the myAgileLife Diabetes Prevention Program among patients with pre-diabetes, we observed significant decreases in weight and HbA1c at 6 and 12 months. mHealth may represent an effective and easily scalable potential solution to deliver impactful diabetes prevention curricula to large numbers of patients.

Weight Loss Trajectories and Short-Term Prediction in an Online Weight Management Program

The extent to which early weight loss in behavioral weight control interventions predicts long-term success remains unclear. In this study, we developed an algorithm aimed at classifying weight change trajectories and examined its ability to predict long-term weight loss based on weight early change. We utilized data from 667 de-identified individuals who participated in a commercial weight loss program (Instinct Health Science), comprising 69,363 weight records. Sequential polynomial regression models were employed to classify participants into distinct weight trajectory patterns based on key model parameters. Next, we applied multinomial logistic models to evaluate if early weight loss in the first 14 days and prolonged duration of participation were significantly associated with long-term weight loss patterns. The mean percentage of weight loss was 7.9 ± 5.1% over 133 ± 69 days. Our analysis revealed four main weight loss trajectory patterns: a steady decrease over time (30.6%), a decrease to a plateau with subsequent decline (15.8%), a decrease to a plateau with subsequent increase (46.9%), and no substantial decrease (6.7%). Early weight change rate and total participating duration emerged as significant factors in differentiating long-term weight loss patterns. These findings contribute to support the provision of tailored advice in the early phase of behavioral interventions for weight loss.

Factors Influencing the Referral of Patients with Prediabetes to a Diabetes Prevention Program in the Bronx, New York

INTRODUCTION

Disparate engagement in the Diabetes Prevention Program (DPP) may occur as early as the point of referral for certain subgroups, including Black and Hispanic men. We aimed to determine patient demographic and provider characteristics associated with referrals to a health system DPP in the Bronx, New York.

METHODS

Patient and health system characteristics for DPP-eligible patients seen in primary care between July 1, 2015, and December 31, 2017, were obtained through the electronic health record. Generalized mixed-effects modeling was used to test the association between referral rate and clinical and sociodemographic variables.

RESULTS

Of 26,727 eligible patients, 66% were female, 46% were Hispanic, and 39% were non-Hispanic Black. Only 10% (n = 2,785) of eligible patients were referred to DPP. In the adjusted analyses, lower odds of referral were observed for men versus women (OR = 0.60; 95% CI, 0.52-0.66), for non-Hispanic White versus Hispanic patients (OR = 0.53; 95% CI, 0.40-0.71), and for uninsured patients versus Medicaid patients (OR = 0.66; 95% CI, 0.54-0.80). The odds were higher for patients in the highest versus lowest hemoglobin A1c (OR = 2.49; 95% CI, 2.27-2.72) category; for those in the highest versus lowest body mass index categories (OR = 1.61; 95% CI, 1.45-1.79); for middle-aged patients (aged 45-64 y) versus those aged 18-26 y (OR =1.63; 95% CI, 1.33-2.00); and for patients being seen by a family versus an internal medicine physician (OR = 1.65; 95% CI, 1.22-2.22).

CONCLUSION

We identified under-referral for men and highlighted other patient and health system factors associated with referral rates. Interventions to address bias in referrals and increase referrals for men at high risk for diabetes, not typically represented in DPP, are recommended.

In a Large Healthcare System in the Bronx, Teleretinal Triaging Was Found to Increase Screening and Healthcare Access for an Underserved Population with a High Incidence of T2DM and Retinopathy

The early treatment of diabetic retinopathy (DR) prevents vision-threatening proliferative retinopathy (PDR) and macular edema (DME). Our study evaluates telemedicine (teleretinal) screening for DR in an inner-city healthcare network with a high ethnic diversity and disease burden. Fundus photographs were obtained and graded in a centralized reading center between 2014 and 2016. Patients with positive screenings were referred to a retina specialist. An analysis of sensitivity and specificity and a subgroup analysis of prevalence, disease severity, and follow-up adherence were conducted. In 2251 patients, the '1-year' and 'Overall' follow-ups were 35.1% and 54.8%, respectively. Severe grading, male gender, and age were associated with better follow-up compliance. The DR, PDR, and DME prevalence was 24.9%, 4.1%, and 5.9%, respectively, and was significantly associated with HbA1c. The sensitivity and specificity for DR, PDR, and DME were 70% and 87%, 87% and 75%, and 37% and 95%, respectively. No prevalence differences were noted between ethnicities. Annual diabetic eye exam adherence increased from 55% to 85% during the study period. Teleretinal triaging is sensitive and specific for DR and improved diabetic eye exam compliance for underserved populations when integrated into large healthcare networks. The adherence to follow-up recommendations was better among older patients and among those with more severe retinopathy.

The Diabetes Prevention Gap And Opportunities To Increase Participation In Effective Interventions

To understand the current state of prediabetes burden and treatment in the US, we examined recent trends in prediabetes prevalence, testing, and access to preventive resources. We estimated 13.5 percent prevalence of diagnosed prediabetes in the overall US adult population, using national survey data. Although prediabetes prevalence increased by 4.8 percentage points from 2010 to 2020, access to preventive resources remained low. The most effective intervention for diabetes prevention, known as the National Diabetes Prevention Program, remained woefully undersupplied and underused. There are only 2,098 National Diabetes Prevention Program-recognized providers nationally, and only 3 percent of adults with prediabetes have participated in the program. We suggest three actions to augment prevention efforts: increase payment for prevention interventions to avoid supply distortions, improve data integration and patient follow-up, and extend coverage and broaden access for preventive interventions. These actions, which would require policy-level changes, could lower the barriers to prevention.

Weight Loss Strategies

Lifestyle interventions for weight loss combine support for changing diet and physical activity with weight management education and are considered the first line treatment for obesity. A variety of diet-focused interventions including time-restricted eating are also increasingly being promoted for weight management. This chapter reviews different types of interventions for weight management, their underlying health behavior change models, and effectiveness to date in randomized trials. The results justify increasing efforts to improve program effectiveness generally, and to personalize interventions to support long-term adherence. The high prevalence of obesity worldwide, combined with the known increase in risk of non-communicable diseases with duration of excess weight, provides a compelling justification for routine delivery of effective weight management interventions in the community and in clinical care.

Randomized trial of a novel lifestyle intervention compared with the Diabetes Prevention Program for weight loss in adult dependents of military service members

BACKGROUND

Lifestyle interventions are the first-line treatment for obesity, but participant weight loss is typically low.

OBJECTIVES

We evaluated the efficacy of an alternative lifestyle intervention [Healthy Weight for Living (HWL)] compared with a modified Diabetes Prevention Program (m-DPP). HWL was based on a revised health behavior change model emphasizing hunger management and the development of healthy food preferences. m-DPP was a standard Diabetes Prevention Program implemented with counselor time matched to HWL. Participants were adult dependents of military personnel and had overweight or obesity.

METHODS

Participants were randomly assigned to HWL (n = 121) or m-DPP (n = 117), delivered primarily by group videoconference with additional midweek emails. The primary outcome was 12-mo weight change. Secondary outcomes included 6-mo changes in cardiometabolic risk factors and diet. Intention-to-treat (ITT) and complete case (CC) analyses were performed using linear mixed models.

RESULTS

Retention did not differ between groups (72% and 66% for HWL and m-DPP at 12 mo, respectively; P = 0.30). Mean ± SE adjusted 12-mo weight loss in the ITT cohort was 7.46 ± 0.85 kg for HWL and 7.32 ± 0.87 kg for m-DPP (P = 0.91); in the CC cohort, it was 7.83 ± 0.82 kg for HWL and 6.86 ± 0.88 kg for m-DPP (P = 0.43). Thirty-eight percent of HWL and 30% of m-DPP completers achieved ≥10% weight loss (P = 0.32). Improvements in systolic blood pressure, LDL cholesterol, triglycerides, fasting glucose, general health, sleep, and mood were similar across groups; improvements in diastolic blood pressure were greater in m-DPP. Adjusted group mean reductions in energy intake were not significantly different between groups, but HWL participants were more adherent to their dietary prescription for lower glycemic index and high fiber and protein (P = 0.05 to <0.001 for ITT).

CONCLUSIONS

HWL and m-DPP showed equivalent and clinically impactful mean weight loss with cardiometabolic benefits. These results identify an alternative approach for behavioral treatment of overweight and obesity.This trial was registered at clinicaltrials.gov as NCT02348853.

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.

Facilitators to referrals to CDC's National Diabetes Prevention Program in primary care practices and pharmacies: DocStyles 2016-2017

Despite evidence of the effectiveness of behavioral change interventions for type 2 diabetes prevention, health care provider referrals to organizations offering the National Diabetes Prevention Program (National DPP) lifestyle change program (LCP) remain suboptimal. This study examined facilitators of LCP referrals among primary care providers and pharmacists (providers). We analyzed data on 1956 providers from 2016 to 2017 DocStyles web-based surveys. Pearson chi-square or Fisher's exact tests were used for bivariate associations between facilitators, provider characteristics, and their self-reported referral and bi-directional referral (where they received patient status updates back from the LCPs) to an LCP. Multiple logistic regressions were used to estimate the effects of facilitators to referral practices, controlling for providers' characteristics. Geocoding was done at the street level for in-person, public LCP class locations and at the zip code level for survey respondents to create a density measure for LCP availability within 10 miles. Overall, 21% of providers referred their patients with prediabetes to LCPs, and 6.4% engaged in bi-directional referral. Provider practices that established clinical-community linkages (CCLs) with LCPs (AOR = 4.88), used electronic health records (EHRs) to manage patients (AOR = 2.94), or practiced within 10 miles of an in-person, public LCP class location (AOR = 1.49) were more likely to refer. Establishing CCLs with LCPs (AOR = 8.59) and using EHRs (AOR = 1.86) were also facilitators of bi-directional referral. This study highlights the importance of establishing CCLs between provider settings and organizations offering the National DPP LCP, increasing use of EHRs to manage patients, and increasing availability of in-person LCP class locations near provider practices.

Targeting of the diabetes prevention program leads to substantial benefits when capacity is constrained

OBJECTIVE

Approximately 84 million people in the USA have pre-diabetes, but only a fraction of them receive proven effective therapies to prevent type 2 diabetes. We estimated the value of prioritizing individuals at highest risk of progression to diabetes for treatment, compared to non-targeted treatment of individuals meeting inclusion criteria for the Diabetes Prevention Program (DPP).

METHODS

Using microsimulation to project outcomes in the DPP trial population, we compared two interventions to usual care: (1) lifestyle modification and (2) metformin administration. For each intervention, we compared targeted and non-targeted strategies, assuming either limited or unlimited program capacity. We modeled the individualized risk of developing diabetes and projected diabetic outcomes to yield lifetime costs and quality-adjusted life expectancy, from which we estimated net monetary benefits (NMB) for both lifestyle and metformin versus usual care.

RESULTS

Compared to usual care, lifestyle modification conferred positive benefits and reduced lifetime costs for all eligible individuals. Metformin's NMB was negative for the lowest population risk quintile. By avoiding use when costs outweighed benefits, targeted administration of metformin conferred a benefit of $500 per person. If only 20% of the population could receive treatment, when prioritizing individuals based on diabetes risk, rather than treating a 20% random sample, the difference in NMB ranged from $14,000 to $20,000 per person.

CONCLUSIONS

Targeting active diabetes prevention to patients at highest risk could improve health outcomes and reduce costs compared to providing the same intervention to a similar number of patients with pre-diabetes without targeted selection.

Clinic- and Community-Based National Diabetes Prevention Programs in Los Angeles

Clinics and community-based organizations (CBOs) are priority settings for implementing the evidence-based National Diabetes Prevention Program (DPP). Both program settings present theoretical advantages and disadvantages for engaging and helping populations most at risk for diabetes achieve lifestyle change goals. To date, few studies have compared implementation across them. The present study describes participant characteristics and lifestyle change outcomes across a sample of clinic- and community-based National DPPs which delivered services in Los Angeles during 2015 to 2018 (two clinics, two CBOs, combined n = 265 participants). Analyses examined participant gender, age, race/ethnicity, baseline body mass index, and program attributes such as screening method and language of instruction. Negative binomial regression models tested for differences in program attendance, mean weekly physical activity, and percent change in body weight by setting. Overall, participants were largely Hispanic/Latinx (81.51%) and female (90.19%). Programs operated by CBOs engaged other race/ethnic groups including Black participants more frequently than those operated by clinics (20.56% vs. 0%); the latter engaged more men (15.29% vs. 7.22%). Few participants in any setting met the National DPP's weight loss goal (clinic: 15.29%, CBO: 20.00%). Participating in a community-based program was initially associated with higher attendance and mean weekly physical activity, but associations were not significant after adjusting for covariates. Study results have practice implications for National DPP implementation and can help inform future efforts to scale and spread the program in Los Angeles and nationally.

Multidisciplinary lifestyle modification program (IM-FIT) for cancer survivors: implementation of a reimbursable model in a cancer hospital

PURPOSE

We examined the initial effects of a real-world application of a multimodal, reimbursable program to improve lifestyle and promote healthy weight loss in cancer survivors as part of their care.

METHODS

The lifestyle program (Integrative Medicine Fitness Program; IM-FIT) focusing on increasing physical activity and strength training, improving nutrition, and facilitating stress management and behavior change was delivered in a group format over 12 weeks. Patients met weekly with a physical therapist, dietitian, and psychologist. Body composition and behavioral data were collected at the start and end of 12 weeks, as well as fitness, nutrition, and psychological data. The first cohort started in September 2017, and the last cohort ended in August 2019.

RESULTS

Twenty-six patients (92% female; mean age = 62.7, SD = 9) completed the program, which was pre-approved and covered as in-network by their health insurance. Patients lost an average of 3.9% of their body weight (SD =  - 2.2). There was a significant reduction in white bread and desserts and increase in legumes and non-dairy milk. Time spent in vigorous exercise (p < .001), strength training (p < .001), and total exercise (p < .001) significantly increased. Patients reported reduction in depression (7.76 to 4.29; p = .01), anxiety (6.14 to 3.29; p < .01), and overall distress (4.70 to 3.40; p < .01).

CONCLUSION

We demonstrated that a multi-disciplinary weight loss program can be tailored to cancer survivors leading to weight reduction and improvements in lifestyle factors and mental health. This program showed successful real-world implementation with insurance reimbursement.

Effectiveness of a Group-Based Lifestyle Change Program Versus Usual Care: An Electronic Health Record, Propensity Score-Matched Cohort Study

INTRODUCTION

Translational lifestyle change programs for community and clinical settings have been available for a decade, yet there are limited data on their comparative effectiveness. This study examines the effectiveness of a Centers for Disease Control and Prevention-aligned lifestyle change program relative to usual care in clinical practice.

METHODS

This was an electronic health record-based retrospective cohort study conducted in a community-based healthcare system. Investigators identified adult program participants and usual-care patients in the electronic health record between 2010 and 2018 and defined their index date (baseline) as the first lifestyle change program encounter or a random encounter date, respectively. Participants were matched 1:2 to usual-care patients on baseline demographics and clinical characteristics using propensity-score methods. Changes in body weight and blood pressure were examined from baseline through 24 months.

RESULTS

The authors identified 2,833 program participants and 438,432 usual-care patients meeting study eligibility criteria. A total of 2,833 program participants were matched to 4,776 usual-care patients; the average age was 54 years, and 80% of the participants were female. Program participation was associated with a 1.9- and 1.6-fold higher prevalence of clinically meaningful (≥5%) weight loss at 12- and 24-month follow-up than usual care and a higher prevalence of blood pressure control at 12 months but not at 24 months. Patients without type 2 diabetes at baseline had more pronounced outcomes than those with type 2 diabetes.

CONCLUSIONS

This study demonstrates the effectiveness of an evidence-based, Centers for Disease Control and Prevention-aligned lifestyle change program in reducing cardiometabolic risk factors compared with usual care in clinical practice, with long-term reductions in weight and transient reductions in blood pressure.

An Evaluation of the Reach and Effectiveness of a Diabetes Prevention Behaviour Change Program Situated in a Community Site

More than 350 million people are living with prediabetes. Preventing type 2 diabetes (T2D) progression can reduce morbidity, mortality and health-care costs. Interventions can support people with diet and physical activity behaviour changes; however, many interventions are university-based, posing barriers (e.g. accessibility, limited reach and maintenance), which highlight the need for community intervention. Limited research has comprehensively evaluated programs in community contexts. The purpose of this study was to pragmatically examine the reach and effectiveness of a diabetes prevention behaviour change program in the community using the RE-AIM framework. Demographic and outcome data were collected through telephone screening and survey data, and analyzed using descriptive and multivariate analyses. Over 2 years, 9,954 individuals were identified by a medical laboratory as living with prediabetes. Information letters were sent by the laboratory to individuals upon physician approval (N=2,241, 22.5%) as a main form of recruitment. From this, 271 individuals and an additional 160 individuals via other recruitment methods contacted the research team (N=431). Two hundred thirteen adults with prediabetes were enrolled (87.4% Caucasian, 69.7% female; 95% program completion). Analyses of 6-month follow-up data revealed significant maintenance of reductions in weight and waist circumference and improvements in physical function, self-reported physical activity and all-food frequency items except fruit intake (N=121, d=0.21 to 0.68, p <0.05 to 0.001). The program demonstrated diabetes risk-reducing benefits for enrolled individuals. Future work is needed to increase physician referral and participant response rates and to explore program expansion through digitization to reach more individuals at risk of developing T2D.

A Qualitative Study on the Perspectives of Latinas Enrolled in a Diabetes Prevention Program: Is the Cost of Prevention Too High?

Introduction: Latinas are among the groups most affected by diabetes health disparities, yet they often benefit less from diabetes interventions even when these are culturally adapted. The purpose of this qualitative study was to explore readiness of Latinas enrolled in a diabetes prevention program to adopt recommended preventive behaviors, and to identify factors associated with the adoption and maintenance of these recommended lifestyle changes. Insights gained will be used to inform future efforts at reducing diabetes disparities and the burden of chronic diseases among Latinas. Methods: Nine focus group discussions (FGDs) and 3 key informant interviews (KIIs) were conducted after the completion of a culturally adapted diabetes prevention program led by Latino community health workers. A grounded theory approach by Charmaz informed by the transtheoretical model guided the questions. Discussions and interviews were audio-taped with participants’ permission, transcribed, coded, and themed. Results: Forty low-income Latinas contributed to FGDs and KIIs. Baseline readiness to engage in new behaviors varied. Negative personal and family health events and physician referral impacted most readiness to enroll and to adopt preventive behaviors. Built environment, financial constraints, and threat of social alienation constituted major barriers to behavior adoption and maintenance, while physician involvement, awareness of diabetes complications, and social support partially mitigated these impediments. Conclusions: Our results suggest that timing of enrollment, physician-patient dynamics, and the emotional personal/family cost of behavior modification should all be considered when planning diabetes prevention programs for low-income Latinas. Besides appropriately timing referrals to accessible culturally informed prevention programs, health educators and health care providers should be aware of the potentially negative impact of behavior modification on family dynamics and be prepared to address resulting repercussions. Future research on Latinas should also include and report data on physician involvement, family context, and social determinants of health for more consistent program comparisons.

Primary Care Cluster RCT to Increase Diabetes Prevention Program Referrals

INTRODUCTION

The Diabetes Prevention Program, an intensive lifestyle change program, effectively reduces the risk of progression from prediabetes to type 2 diabetes but is underutilized. An implementation study using formative research was undertaken to increase Diabetes Prevention Program referrals at a primary care clinic.

STUDY DESIGN

A pragmatic, cluster randomized, mixed-methods study.

SETTING/PARTICPANTS

Clusters were teams of primary care clinicians from 2 primary care clinics. The 3 intervention clusters had 8-11 clinicians, and the 3 control clusters had 7-20 clinicians.

INTERVENTION

Implementation activities occurred from December 2017 to February 2019. The activities included targeted clinician education, a prediabetes clinician champion, and a custom electronic health record report identifying patients with prediabetes.

MAIN OUTCOME MEASURES

The primary outcome was referral of patients with prediabetes to the institutional Diabetes Prevention Program. Study data, including patient demographic and clinical variables, came from electronic health record. Interviews with clinicians evaluated the implementation strategies. Generalized estimating equation analyses that accounted for multiple levels of correlation and interview content analysis occurred in 2019.

RESULTS

Study clinicians cared for 2,992 patients with a prediabetes diagnosis or HbA1c indicative of prediabetes (5.7%-6.4%). Clinicians in the intervention clusters referred 6.9% (87 of 1,262) of patients with prediabetes to the Diabetes Prevention Program and those in the control clusters referred 1.5% (26 of 1,730). When adjusted for patient age, sex, race, HbA1c value, HbA1c test location, and insurance type, intervention clinicians had 3.85 (95% CI=0.40, 36.78) greater odds of referring a patient with prediabetes to the Diabetes Prevention Program. The 11 interviewed intervention clinicians had mixed opinions about the utility of the interventions, reporting the prediabetes clinic champion (n=7, 64%) and educational presentations (n=6, 55%) as most helpful.

CONCLUSIONS

Intervention clinicians were more likely to make Diabetes Prevention Program referrals; however, the study lacked power to achieve statistical significance. Clinician interviews suggested that intervention components that triggered Diabetes Prevention Program referrals varied among clinicians.

Barriers and strategies for implementing community-based interventions with minority elders: positive minds-strong bodies

BACKGROUND

By 2040, one out of three older adults in the USA are expected to belong to a racial/ethnic minority group. This population has an increased risk of mental and physical disability with significant barriers to access care. Community-based organizations (CBOs) often provide programming to serve minority and immigrant elders. Limited resources and other barriers such as lack of trained staff make it difficult to implement evidence-based interventions (EBIs) in CBOs for long-term adoption. Yet little is known about what factors can facilitate adoption of EBIs in CBOs serving minority elders.

METHODS

Positive-Minds-Strong Bodies (PM-SB), an evidence-based intervention offered in four languages, aims to reduce mental and physical disability for minority and immigrant elders through the efforts of community health workers and exercise trainers. The intervention consists of cognitive behavior therapy and exercise training sessions delivered over 6 months. During a recent clinical trial of this intervention, we elicited feedback from CBO staff to determine how best to facilitate the implementation and long-term sustainability of PM-SB within their agencies. We surveyed 30 CBO staff members, held four focus groups, and conducted 20 in-depth interviews to examine staff perspectives and to reveal factors or changes needed to facilitate long-term adoption in prospective CBOs.

RESULTS

Participants reported that staff motivation and implementation could be improved through the following changes: increasing patient compensation for treatment sessions, decreasing levels of organizational accountability, and reducing staff demands embedded in the intervention. Although most staff perceived that PM-SB improved their agency's ability to address the health and well-being of elders, capacity-building strategies such as a "train-the-trainer" initiative were identified as priorities to address staff turnover for sustainability. Adapting the intervention to get financial reimbursement also emerged as vital.

CONCLUSIONS

Augmenting financial incentives, streamlining procedures, and simplifying staff accountability were suggested strategies for facilitating the transition from a disability prevention clinical trial in minority and immigrant elders to a scalable implementation in routine services at CBOs.

TRIAL REGISTRATION

ClinicalTrials.gov, NCT02317432.

Outcomes of a Weight Loss Intervention to Prevent Diabetes Among Low-Income Residents of East Harlem, New York

There is a need for diabetes prevention efforts targeting vulnerable populations. Our community-academic partnership, the East Harlem Partnership for Diabetes Prevention, conducted a randomized controlled trial to study the impact of peer led diabetes prevention workshops on weight and diabetes risk among an economically and racially diverse population in East Harlem, New York. We recruited overweight/obese adults from more than 50 community sites and conducted oral glucose tolerance testing and completed other clinical assessments and a health and lifestyle survey. We randomized prediabetic participants to intervention or delayed intervention groups. Intervention participants attended eight 90-minute peer-led workshop sessions at community sites. Participants in both groups returned for follow-up assessments 6 months after randomization. The main outcomes were the proportion of participants who achieved 5% weight loss, percentage weight loss, and change in the probability of developing diabetes over the next 7.5 years according to the San Antonio Diabetes Prediction Model. We enrolled 402 participants who were mainly female (85%), Latino (73%) or Black (23%), foreign born (64%), and non-English speaking (58%). At 6 months, the intervention group lost a greater percentage of their baseline weight, had significantly lower rise in HbA1c (glycated hemoglobin), decreased risk of diabetes, larger decreases in fat and fiber intake, improved confidence in nutrition label reading, and decrease in sedentary behavior as compared with the control group. Thus, in partnership with community stakeholders, we created an effective low-resource program that was less intensive than previously studied programs by incorporating strategies to engage and affect our priority population.

The Reach of an Urban Hospital System-Based Diabetes Prevention Program: Patient Engagement and Weight Loss Characteristics

PURPOSE

The purpose of this study was to identify patient and program delivery characteristics associated with engagement and weight loss in a Diabetes Prevention Program (DPP) implemented in an urban hospital system.

METHODS

Patient and program delivery data were collected between July 2015 and December 2017. DPP eligibility was determined based on age, body mass index (BMI), and hemoglobin A1C data via the electronic health record. Engagement was measured at 3 levels: ≤3 sessions, 4 to 8 sessions, and ≥9 sessions. Weight was measured at each DPP session.

RESULTS

Among the eligible patients (N = 31 524), referrals and engagement were lower in men than women, in Spanish speakers than English speakers, in younger (18-34 years) and middle-aged (35-54 years) than older adults, and in patients receiving Medicaid than other patients. Referral and engagement were higher in patients with higher BMIs and those prescribed ≥5 medications. Current smokers were less frequently engaged. Prior health care provider contact was associated with higher engagement. Overall, 28% of DPP participants achieved ≥5% weight loss; younger and middle-aged patients and those who gained weight in the prior 2 years were less likely to lose weight.

CONCLUSION

This assessment identified characteristics of patients with lower levels of referral and engagement. The DPP staff may need to increase outreach to address barriers to referral and during all points of engagement among men, younger patients, and Spanish speakers. Future research is needed to increase understanding with regard to why referrals and engagement are lower among these groups.

Culinary Medicine: Advancing a Framework for Healthier Eating to Improve Chronic Disease Management and Prevention

Unsustainable increases in the prevalence and costs of chronic disease in the United States call for low-cost, high-impact interventions that can be readily incorporated into people's daily lives. Culinary medicine is one such intervention. As a practical discipline, culinary medicine integrates the art of preparing, cooking, and presenting food with the science of medicine to achieve desired health outcomes. This article describes how the underpinnings and components of culinary medicine enhance existing nutrition interventions. Evidence of improved well-being and reduced resource utilization as the result of culinary medicine interventions is compiled for easy reference by health care organizations, medical professionals, people living with or at risk for chronic disease, food industry specialists, and payers in both the public and private sectors. Suggestions for individual and organizational implementation of culinary medicine strategies are offered with a proposed lexicon for continued development of the field.

Longitudinal Weight Outcomes From a Behavioral Lifestyle Intervention in Clinical Practice

PURPOSE

The purpose of this electronic health record (EHR)-based retrospective cohort study was to characterize a population of patients participating in a 12-month, lifestyle change program in a community-based health system and to examine longitudinal weight outcomes.

METHODS

Program participants were identified in the EHRs of a health care delivery system across 18 sites between 2010 and 2017. Outcomes were mean weight change and proportion of patients with ≥5% weight loss through 24 months from program initiation.

RESULTS

Among 4463 program participants, 3156 met study eligibility criteria, with a mean ± SD age of 53.5 ± 13.1 years; 77.7% were women. Mean baseline weight ± SD was 101.3 ± 23.8 kg. Three main cardiometabolic risk groups were identified: prediabetes/high risk for diabetes (47.3%), overweight/obese in the absence of elevated diabetes risk (27.2%), and existing diabetes (23.9%). Maximal mean weight loss was 3.9% at 6 months from baseline. At 12 and 24 months from baseline, mean weight loss was 3.2% and 2.3%, respectively, with 31% and 29% of participants attaining ≥5% weight loss. Long-term weight outcomes were similar across risk groups.

CONCLUSIONS

A lifestyle change program in a clinical practice setting is associated with modest weight loss, sustained through 24 months, among participants with a range of cardiometabolic risk factors. More than one-quarter of participants achieve ≥5% weight loss, regardless of cardiometabolic risk.

Falls Experiences and Prevention Preferences of Adults in Mid-life

Falls prevention research and practice has focused primarily on older adults, yet healthy and productive aging does not begin at age 65. To help fill this gap in knowledge, the purpose of this study was to explore the falls experiences and prevention program preferences of adults in mid-life who had experienced falls or near falls. A qualitative study using content analysis was used. Multiple coders were employed to increase the reliability of the findings. Results revealed three major themes with regard to falls experiences including precursors to falls, physical implications, and functional implications. For prevention preferences, themes included a continuum of interest, convenience is key, money matters, people you trust prompt action, and preventing future injury. Study results reveal new insights regarding the falls experiences and prevention preferences of adults in mid-life and can serve as a starting point to inform prevention programs targeting this population.

Behavior stages of a physician- and coach-supported cloud-based diabetes prevention program for people with prediabetes

Introduction:

Centers for Disease Control and Prevention Diabetes Prevention Program recognition requires successful program completion by a cohort of at least five people with prediabetes. Such programs have generally been “in-person” and provided by a qualified coach from a recognized program. A cohort of 10 patients with prediabetes was enrolled in a physician’s office to use the cloud-based Type II Diabetes Prevention Module in an effort to achieve recognition. Module use was supported by the physician and a qualified coach. The purpose of this article is to evaluate Module performance relative to behavior stages associated with long-term behavior modification.

Methods:

The Module employs a web application supporting diabetes prevention education and a mobile application that is an electronic diary and virtual coach. A dashboard allows an efficient review of user performance and the ability to send users notifications of support from the user’s coach or physician. The cohort of 10 patients with prediabetes was offered Module use upon diagnosis of prediabetes.

Results:

All 10 patients with prediabetes offered Module use agreed participation. Six have completed educational sessions, made diary entries, and have met the 5% Centers for Disease Control and Prevention Diabetes Prevention Program weight loss target prior to 6 months of Module use. This high success rate (60%) is contrary to behavior stages often associated with long-term behavior modification.

Conclusion:

The strength of the physician–patient relationship appears to allow patients with prediabetes to skip or advance rapidly through behavioral stages in the process of lifestyle modification.

Practical Tips for Implementing the Diabetes Prevention Program in Clinical Practice

PURPOSE OF REVIEW

The Diabetes Prevention Program (DPP) is an evidence-based lifestyle change program for prediabetes that is associated with a 58% reduction in 3-year diabetes incidence, and it has been supported by the American Medical Association and the Centers for Disease Control and Prevention. However, 9 in 10 patients are unaware they have the condition.

RECENT FINDINGS

With the passage of the Affordable Care Act (ACA) and broadened coverage for preventive services, the DPP has emerged as an accessible intervention in patients at risk. In 2018, Medicare began to cover the DPP, making it widely available for the first time to any patient over the age of 65 meeting eligibility criteria. The DPP is an evidence-based, widely available, frequently covered benefit, for lifestyle change for patients with prediabetes. To take advantage of this intervention, providers need to develop prediabetes screening and DPP referral workflows.

Cultural primer for cardiometabolic health: health disparities, structural factors, community, pathways to improvement, and clinical applications

The quest to optimize cardiometabolic health has created great interest in nonmedical health variables in the population, community-based research and coordination, and addressing social, ethnic, and cultural barriers. All of these may be of equal or even greater importance than classical health care delivery in achieving individual well-being. One dominant issue is health disparity - causes, methods of reduction, and community versus other levels of solutions. This communication summarizes some major views regarding social structures, followed by amplification and synthesis of central ideas in the literature. The role of community involvement, tools, and partnerships is also presented in this Primer. Recent views of how these approaches could be incorporated into cardiometabolic initiatives and strategies follow, with implications for research. Two examples comparing selected aspects of community leverage and interventions in relation to individual approaches to health care equity are examined in depth: overall performance in reducing cardiovascular risk and mortality, and the recent National Diabetes Prevention Program, both touching upon healthy diets and adherence. Finally, the potential that precision medicine offers, and possible effects on disparities are also discussed.