Community Health Worker Initiatives: An Approach to Design and Measurement.

CONTEXT: The Centers for Disease Control and Prevention supports the engagement of community health workers (CHWs) to help vulnerable populations achieve optimum health through a variety of initiatives implemented in several organizational units. PROGRAM: This article provides a unified and comprehensive logic model for these initiatives that also serves as a common framework for monitoring and evaluation. IMPLEMENTATION: We developed a logic model to fully describe the levels of effort needed to effectively and sustainably engage CHWs. We mapped monitoring and evaluation metrics currently used by federally funded organizations to the logic model to assess the extent to which measurement and evaluation are aligned to programmatic efforts. EVALUATION: We found that the largest proportion of monitoring and evaluation metrics (61%) currently used maps to the "CHW intervention level" of the logic model, a smaller proportion (37%) maps to the "health system and community organizational level," and a minimal proportion (3%) to the "statewide infrastructure level." DISCUSSION: Organizations engaging CHWs can use the logic model to guide the design as well as performance measurement and evaluation of their CHW initiatives.

Simulated impacts and potential cost effectiveness of Communities Putting Prevention to Work: Tobacco control interventions in 21 U.S. communities, 2010-2020.

In 2010, the Centers for Disease Control and Prevention (CDC) funded communities to implement policy, systems, and environmental (PSE) changes under the Communities Putting Prevention to Work (CPPW) program to make it easier for people to make healthier choices to prevent chronic disease. Twenty-one of 50 funded communities implemented interventions intended to reduce tobacco use. To examine the potential cost-effectiveness of tobacco control changes implemented under CPPW from a healthcare system perspective, we compared program cost estimates with estimates of potential impacts. We used an existing simulation model, the Prevention Impacts Simulation Model (PRISM), to estimate the potential cumulative impact of CPPW tobacco interventions on deaths and medical costs averted through 2020. We collected data on the costs to implement CPPW tobacco interventions from 2010 to 2013. We adjusted all costs to 2010 dollars. CPPW tobacco interventions cost $130.5 million across all communities, with an average community cost of $6.2 million. We found $735 million in potentially averted medical costs cumulatively from 2010 through 2020 because of the CPPW-supported interventions. If the CPPW tobacco control PSE changes are sustained through 2020 without additional funding after 2013, we find that medical costs averted will likely exceed program costs by $604 million. Our results suggest that the medical costs averted through 2020 may more than offset the initial investment in CPPW tobacco control interventions, implying that such interventions may be cost saving, especially over the long term.

Estimating the Relative Impact of Clinical and Preventive Community-Based Interventions: An Example Based on the Community Transformation Grant Program.

INTRODUCTION: Public health focuses on a range of evidence-based approaches for addressing chronic conditions, from individual-level clinical interventions to broader changes in policies and environments that protect people's health and make healthy living easier. This study examined the potential long-term impact of clinical and community interventions as they were implemented by Community Transformation Grant (CTG) program awardees. METHODS: We used the Prevention Impacts Simulation Model, a system dynamics model of cardiovascular disease prevention, to simulate the potential 10-year and 25-year impact of clinical and community interventions implemented by 32 communities receiving a CTG program award, assuming that program interventions were sustained during these periods. RESULTS: Sustained clinical interventions implemented by CTG awardees could potentially avert more than 36,000 premature deaths and $3.2 billion in discounted direct medical costs (2017 US dollars) over 10 years and 109,000 premature deaths and $8.1 billion in discounted medical costs over 25 years. Sustained community interventions could avert more than 24,000 premature deaths and $3.4 billion in discounted direct medical costs over 10 years and 88,000 premature deaths and $9.1 billion in discounted direct medical costs over 25 years. CTG clinical activities had cost-effectiveness of $302,000 per death averted at the 10-year mark and $188,000 per death averted at the 25-year mark. Community interventions had cost-effectiveness of $169,000 and $57,000 per death averted at the 10- and 25-year marks, respectively. CONCLUSION: Clinical interventions have the potential to avert more premature deaths than community interventions. However, community interventions, if sustained over the long term, have better cost-effectiveness.

The Diabetes Prevention Impact Tool Kit: An Online Tool Kit to Assess the Cost-Effectiveness of Preventing Type 2 Diabetes.

The National Diabetes Prevention Program lifestyle change program demonstrated health benefits and potential for health care cost-savings. For many states, employers, and insurers, there is a strong business case for paying for type 2 diabetes prevention, which will likely result in medical and nonmedical cost-savings as well as improved quality of life after a few years. Using an iterative feedback process with multiple stakeholders, the Centers for Disease Control and Prevention developed the Diabetes Prevention Impact Tool kit, https://nccd.cdc.gov/toolkit/diabetesimpact, which forecasts the cost impact the lifestyle change program can have for states, employers, and health insurers. We conducted key informant interviews and a qualitative analysis to evaluate the tool kit. We found that end users recognized its utility for decision making. They valued the detail of the tool kit's underlying calculations and appreciated the option of either using the default settings or revising assumptions based on their own data. The Diabetes Prevention Impact Tool kit can be a helpful tool for organizations that wish to forecast the economic costs and benefits of implementing or covering the National Diabetes Prevention Program lifestyle change program.

Costs of community-based interventions from the Community Transformation Grants.

Limited data are available on the costs of evidence-based community-wide prevention programs. The objective of this study was to estimate the per-person costs of strategies that support policy, systems, and environmental changes implemented under the Community Transformation Grants (CTG) program. We collected cost data from 29 CTG awardees and estimated program costs as spending on labor; consultants; materials, travel, and services; overhead activities; partners; and the value of in-kind contributions. We estimated costs per person reached for 20 strategies. We assessed how per-person costs varied with the number of people reached. Data were collected in 2012-2015, and the analysis was conducted in 2015-2016. Two of the tobacco-free living strategies cost less than $1.20 per person and reached over 6 million people each. Four of the healthy eating strategies cost less than $1.00 per person, and one of them reached over 6.5 million people. One of the active living strategies cost $2.20 per person and reached over 7 million people. Three of the clinical and community preventive services strategies cost less than $2.30 per person, and one of them reached almost 2 million people. Across all 20 strategies combined, an increase of 10,000 people in the number of people reached was associated with a $0.22 reduction in the per-person cost. Results demonstrate that interventions, such as tobacco-free indoor policies, which have been shown to improve health outcomes have relatively low per-person costs and are able to reach a large number of people.

Nudging to Change: Using Behavioral Economics Theory to Move People and Their Health Care Partners Toward Effective Type 2 Diabetes Prevention.

IN BRIEF In 2017, 30 million Americans had diabetes, and 84 million had prediabetes. In this article, the authors focus on the journey people at risk for type 2 diabetes take when they become fully engaged in an evidence-based type 2 diabetes prevention program. They highlight potential drop-off points along the journey, using behavioral economics theory to provide possible reasons for most of the drop-off points, and propose solutions to move people toward making healthy decisions.

The Break Up: Evaluation of an Anti-Smoking Educational Campaign for Lesbians, Gays, and Bisexuals in Los Angeles County.

Lesbian, gay, and bisexual (LGB) adults in the United States have a higher prevalence of smoking than their heterosexual counterparts. In 2013, the Los Angeles County Department of Public Health launched a social marketing and outreach campaign called Break Up to reduce the prevalence of smoking in LGB communities. Break Up was evaluated using cross-sectional, street-intercept surveys before and near the end of campaign. Surveys measured demographics, campaign awareness, and self-reported smoking-related outcomes. Bivariate statistics and logistic regression models were used to identify whether campaign awareness was associated with smoking-related outcomes. Calls by LGB persons to a smokers' helpline were also measured. Among those interviewed at endline, 32.7% reported Break Up awareness. Awareness was associated with thinking of quitting smoking and ever taking steps to quit but not with smoking cessation (defined as not smoking in the past 30 days among those who had smoked in the past 6 months). There was a 0.7% increase in the percentage of weekly calls by LGB persons to the helpline in the year after the campaign. Break Up reached about a third of its intended audience. The campaign was associated with smoking cessation precursors and may have led to an increase in helpline utilization, but there is no evidence it affected quit attempts. This study adds to the limited literature on tobacco programs for LGB persons and, as far as we know, is one of the first to evaluate tobacco-free social marketing in this important yet understudied population.

Pathways to Program Success: A Qualitative Comparative Analysis (QCA) of Communities Putting Prevention to Work Case Study Programs.

OBJECTIVE: To examine the elements of capacity, a measure of organizational resources supporting program implementation that result in successful completion of public health program objectives in a public health initiative serving 50 communities. DESIGN: We used crisp set Qualitative Comparative Analysis (QCA) to analyze case study and quantitative data collected during the evaluation of the Communities Putting Prevention to Work (CPPW) program. SETTING: CPPW awardee program staff and partners implemented evidence-based public health improvements in counties, cities, and organizations (eg, worksites, schools). PARTICIPANTS: Data came from case studies of 22 CPPW awardee programs that implemented evidence-based, community- and organizational-level public health improvements. INTERVENTION: Program staff implemented a range of evidence-based public health improvements related to tobacco control and obesity prevention. MAIN OUTCOME MEASURE: The outcome measure was completion of approximately 60% of work plan objectives. RESULTS: Analysis of the capacity conditions revealed 2 combinations for completing most work plan objectives: (1) having experience implementing public health improvements in combination with having a history of collaboration with partners; and (2) not having experience implementing public health improvements in combination with having leadership support. CONCLUSION: Awardees have varying levels of capacity. The combinations identified in this analysis provide important insights into how awardees with different combinations of elements of capacity achieved most of their work plan objectives. Even when awardees lack some elements of capacity, they can build it through strategies such as hiring staff and engaging new partners with expertise. In some instances, lacking 1 or more elements of capacity did not prevent an awardee from successfully completing objectives. These findings can help funders and practitioners recognize and assemble different aspects of capacity to achieve more successful programs; awardees can draw on extant organizational strengths to compensate when other aspects of capacity are absent.

Community-Based Interventions to Decrease Obesity and Tobacco Exposure and Reduce Health Care Costs: Outcome Estimates From Communities Putting Prevention to Work for 2010-2020.

INTRODUCTION: In 2010, the Centers for Disease Control and Prevention (CDC) launched Communities Putting Prevention to Work (CPPW), a $485 million program to reduce obesity, tobacco use, and exposure to secondhand smoke. CPPW awardees implemented evidence-based policy, systems, and environmental changes to sustain reductions in chronic disease risk factors. This article describes short-term and potential long-term benefits of the CPPW investment. METHODS: We used a mixed-methods approach to estimate population reach and to simulate the effects of completed CPPW interventions through 2020. Each awardee developed a community action plan. We linked plan objectives to a common set of interventions across awardees and estimated population reach as an early indicator of impact. We used the Prevention Impacts Simulation Model (PRISM), a systems dynamics model of cardiovascular disease prevention, to simulate premature deaths, health care costs, and productivity losses averted from 2010 through 2020 attributable to CPPW. RESULTS: Awardees completed 73% of their planned objectives. Sustained CPPW improvements may avert 14,000 premature deaths, $2.4 billion (in 2010 dollars) in discounted direct medical costs, and $9.5 billion (in 2010 dollars) in discounted lifetime and annual productivity losses through 2020. CONCLUSION: PRISM results suggest that large investments in community preventive interventions, if sustained, could yield cost savings many times greater than the original investment over 10 to 20 years and avert 14,000 premature deaths.

Differences in Chronic Disease Behavioral Indicators by Sexual Orientation and Sex.

CONTEXT: Lesbian, gay, and bisexual (LGB) populations experience significant health inequities in preventive behaviors and chronic disease compared with non-LGB populations. OBJECTIVES: To examine differences in physical activity and diet by sexual orientation and sex subgroups and to assess the influences of home and neighborhood environments on these relationships. DESIGN: A population-based survey conducted in 2013-2014. SETTING: A stratified, simple, random sample of households in 20 sites in the United States. PARTICIPANTS: A total of 21 322 adult LGB and straight-identified men and women. OUTCOME MEASURES: Any leisure-time physical activity in the past month; physical activity 150 min/wk or more; daily frequency of consumption of vegetables, fruit, water, and sugar-sweetened beverages; and the number of meals prepared away from home in the past 7 days. RESULTS: Physical activity and diet varied by sexual orientation and sex; differences persisted after adjusting for sociodemographic factors and household and community environments. Bisexual men reported a higher odds of engaging in frequent physical activity than straight men (odds ratio [OR] = 3.10; 95% confidence interval [CI], 1.57-6.14), as did bisexual women compared with straight women (OR = 1.84; 95% CI, 1.20-2.80). LGB subgroups reported residing in more favorable walking and cycling environments. In contrast, gay men and lesbian and bisexual women reported a less favorable community eating environment (availability, affordability, and quality of fruit and vegetables) and a lower frequency of having fruit or vegetables in the home. Lesbian women reported lower daily vegetable consumption (1.79 vs 2.00 mean times per day; difference = -0.21; 95% CI, -0.03 to -0.38), and gay men reported consumption of more meals prepared away from home (3.17 vs 2.63; difference = 0.53; 95% CI, 0.11-0.95) than straight women and men, respectively. Gay men and lesbian and bisexual women reported a higher odds of sugar-sweetened beverage consumption than straight men and women. CONCLUSIONS: Findings highlight opportunities for targeted approaches to promote physical activity and mitigate differences in diet to reduce health inequities.

Does perceived neighborhood walkability and safety mediate the association between education and meeting physical activity guidelines?

The role of neighborhood walkability and safety in mediating the association between education and physical activity has not been quantified. We used data from the 2010 and 2012 Communities Putting Prevention to Work Behavioral Risk Factor Surveillance System and structural equation modeling to estimate how much of the effect of education level on physical activity was mediated by perceived neighborhood walkability and safety. Neighborhood walkability accounts for 11.3% and neighborhood safety accounts for 6.8% of the effect. A modest proportion of the important association between education and physical activity is mediated by perceived neighborhood walkability and safety, suggesting that interventions focused on enhancing walkability and safety could reduce the disparity in physical activity associated with education level.

Communities putting prevention to work: local evaluation of community-based strategies designed to make healthy living easier.

This introduction is an overview of the articles presented in this supplement that describe implementation and evaluation activities conducted as part of the Centers for Disease Control and Prevention's (CDC's) Communities Putting Prevention to Work (CPPW) initiative. CPPW was one of the largest federal investments ever to combat chronic diseases in the United States. CPPW supported high-impact, jurisdiction-wide policy, systems, and environmental changes to improve health by increasing access to physical activity and healthy foods, and by decreasing tobacco use and exposure to secondhand smoke. The articles included in this supplement describe implementation and evaluation efforts of strategies implemented as part of CPPW by local awardees. This supplement is intended to guide the evidence base for public health interventions on the basis of jurisdiction-wide policy and environmental-level improvements and to encourage rigorous evaluation of the public health interventions.

Using simulation to compare established and emerging interventions to reduce cardiovascular disease risk in the United States.

INTRODUCTION: Computer simulation offers the ability to compare diverse interventions for reducing cardiovascular disease risks in a controlled and systematic way that cannot be done in the real world. METHODS: We used the Prevention Impacts Simulation Model (PRISM) to analyze the effect of 50 intervention levers, grouped into 6 (2 x 3) clusters on the basis of whether they were established or emerging and whether they acted in the policy domains of care (clinical, mental health, and behavioral services), air (smoking, secondhand smoke, and air pollution), or lifestyle (nutrition and physical activity). Uncertainty ranges were established through probabilistic sensitivity analysis. RESULTS: Results indicate that by 2040, all 6 intervention clusters combined could result in cumulative reductions of 49% to 54% in the cardiovascular risk-related death rate and of 13% to 21% in risk factor-attributable costs. A majority of the death reduction would come from Established interventions, but Emerging interventions would also contribute strongly. A slim majority of the cost reduction would come from Emerging interventions. CONCLUSION: PRISM allows public health officials to examine the potential influence of different types of interventions - both established and emerging - for reducing cardiovascular risks. Our modeling suggests that established interventions could still contribute much to reducing deaths and costs, especially through greater use of well-known approaches to preventive and acute clinical care, whereas emerging interventions have the potential to contribute significantly, especially through certain types of preventive care and improved nutrition.

Integrating Behavioral Health Into Monitoring and Surveillance During Public Health Emergencies: Challenges and Opportunities.

OBJECTIVE: Limited guidance exists for public health agencies to use existing data sources to conduct monitoring and surveillance of behavioral health (BH) in the context of public health emergencies (PHEs). METHODS: We conducted a literature review and environmental scan to identify existing data sources, indicators, and analytic methods that could be used for BH surveillance in PHEs. We conducted exploratory analyses and interviews with public health agencies to examine the utility of a subset of these data sources for BH surveillance in the PHE context. RESULTS: Our comprehensive search revealed no existing dedicated surveillance systems to monitor BH in the context of PHEs. However, there are a few data sources designed for other purposes that public health agencies could use to conduct BH surveillance at the substate level. Some of these sources contain lagging indicators of BH impacts of PHEs. Most do not consistently collect the sociodemographic data needed to explore PHEs' inequitable impacts on subpopulations, including at the intersection of race, gender, and age. CONCLUSIONS: Public health agencies have opportunities to strengthen BH surveillance in PHEs and build partnerships to act based on timely, geographically granular existing data.

Fifty communities putting prevention to work: accelerating chronic disease prevention through policy, systems and environmental change.

The burden of preventable chronic diseases is straining our nation's health and economy. Diseases caused by obesity and tobacco use account for the largest portions of this preventable burden. CDC funded 50 communities in 2010 to implement policy, systems, and environmental (PSE) interventions in a 2-year initiative. Funded communities developed PSE plans to reduce obesity, tobacco use, and second-hand smoke exposure for their combined 55 million residents. Community outcome objectives and milestones were categorized by PSE interventions as they related to media, access, promotion, pricing, and social support. Communities estimated population reach based on their jurisdiction's census data and target populations. The average proportion of each community's population that was reached was calculated for each intervention category. Outcome objectives that were achieved within 12 months of program initiation were identified from routine program records. The average proportion of a community's jurisdictional population reached by a specific intervention varied across interventions. Mean population reach for obesity-prevention interventions was estimated at 35%, with 14 (26%) interventions covering over 50% of the jurisdictional populations. For tobacco prevention, mean population reach was estimated at 67%, with 16 (84%) interventions covering more than 50% of the jurisdictional populations. Within 12 months, communities advanced over one-third of their obesity and tobacco-use prevention strategies. Tobacco interventions appeared to have higher potential population reach than obesity interventions within this initiative. Findings on the progress and potential reach of this major initiative may help inform future chronic disease prevention efforts.

Iterative guided machine learning-assisted systematic literature reviews: a diabetes case study.

BACKGROUND: Systematic Reviews (SR), studies of studies, use a formal process to evaluate the quality of scientific literature and determine ensuing effectiveness from qualifying articles to establish consensus findings around a hypothesis. Their value is increasing as the conduct and publication of research and evaluation has expanded and the process of identifying key insights becomes more time consuming. Text analytics and machine learning (ML) techniques may help overcome this problem of scale while still maintaining the level of rigor expected of SRs. METHODS: In this article, we discuss an approach that uses existing examples of SRs to build and test a method for assisting the SR title and abstract pre-screening by reducing the initial pool of potential articles down to articles that meet inclusion criteria. Our approach differs from previous approaches to using ML as a SR tool in that it incorporates ML configurations guided by previously conducted SRs, and human confirmation on ML predictions of relevant articles during multiple iterative reviews on smaller tranches of citations. We applied the tailored method to a new SR review effort to validate performance. RESULTS: The case study test of the approach proved a sensitivity (recall) in finding relevant articles during down selection that may rival many traditional processes and show ability to overcome most type II errors. The study achieved a sensitivity of 99.5% (213 out of 214) of total relevant articles while only conducting a human review of 31% of total articles available for review. CONCLUSIONS: We believe this iterative method can help overcome bias in initial ML model training by having humans reinforce ML models with new and relevant information, and is an applied step towards transfer learning for ML in SR.

Prevalence and medical expenditures of diabetes-related complications among adult Medicaid enrollees with diabetes in eight U.S. states.

AIMS: To estimate the prevalence and medical expenditures of diabetes-related complications (DRCs) among adult Medicaid enrollees with diabetes. METHODS: We estimated the prevalence and medical expenditures for 12 diabetes-related complications by Medicaid eligibility category (disability-based vs. non-disability-based) in eight states. We used generalized linear models with log link and gamma distribution to estimate the total per-person annual medical expenditures for DRCs, controlling for demographics, and other comorbidities. RESULTS: Among non-disability-based enrollees (NDBEs), 40.1% (in California) to 47.5% (in Oklahoma) had one or more DRCs, compared to 53.6% (in Alabama) to 64.8% (in Florida) among disability-based enrollees (DBEs). The most prevalent complication was neuropathy (16.1%-27.1% for NDBEs; 20.2%-30.4% for DBEs). Lower extremity amputation (<1% for both eligibilities) was the least prevalent complication. The costliest per-person complication was dialysis (per-person excess annual expenditure of $22,481-$41,298 for NDBEs; $23,569-$51,470 for DBEs in 2012 USD). Combining prevalence and per-person excess expenditures, the three costliest complications were nephropathy, heart failure, and ischemic heart disease (IHD) for DBEs, compared to neuropathy, nephropathy, and IHD for NDBEs. CONCLUSIONS: Our study provides data that can be used for assessing the health care resources needed for managing DRCs and evaluating cost-effectiveness of interventions to prevent and management DRCs.

Medicaid Medical Costs Associated with Hypertension by Diabetes Status among Women in Alabama.

Though a high proportion of Medicaid population in Alabama are women, little is known about their economic burdens of diabetes and hypertension. We used Alabama Medicaid claims data of 16,107 female enrollees aged 19-64 years to estimate per-capita total annual medical costs of hypertension by diabetes status. Hypertension prevalence was 60.0% and 17.3% among those with and without diabetes. The estimated annual medical cost for enrollees with hypertension was $6,689 (in 2017 $), of which $2,369 was associated with having hypertension. The hypertension-associated excess costs were $2,646 and $2,378 for enrollees with and without diabetes. All subgroups such as Blacks and those with Charlson Comorbidity Index ≥ 1, had higher medical costs when they had a combination of hypertension and diabetes compared with having diabetes without hypertension. Hypertension and diabetes increased medical costs substantially, and the findings can inform decision makers about effective resource utilizations for prevention and treatment strategies.

Retention Among Participants in the National Diabetes Prevention Program Lifestyle Change Program, 2012-2017.

OBJECTIVE: To assess retention in the National Diabetes Prevention Program (DPP) lifestyle change program, which seeks to prevent type 2 diabetes in adults at high risk. RESEARCH DESIGN AND METHODS: We analyzed retention among 41,203 individuals who enrolled in Centers for Disease Control and Prevention (CDC)-recognized in-person lifestyle change programs at organizations that submitted data to CDC's Diabetes Prevention Recognition Program during January 2012-February 2017. RESULTS: Weekly attrition rates were typically <1-2% but were between 3.5% and 5% at week 2 and at weeks 17 and 18, where session frequency typically transitions from weekly to monthly. The percentage of participants retained through 18 weeks varied by age (45.9% for 18-29 year olds, 53.4% for 30-44 year olds, 60.2% for 45-54 year olds, 66.7% for 55-64 year olds, and 67.6% for ≥65 year olds), race/ethnicity (70.5% for non-Hispanic whites, 60.5% for non-Hispanic blacks, 52.6% for Hispanics, and 50.6% for other), mean weekly percentage of body weight lost (41.0% for ≤0% lost, 66.2% for >0% to <0.25% lost, 72.9% for 0.25% to <0.5% lost, and 73.9% for ≥0.5% lost), and mean weekly physical activity minutes (12.8% for 0 min, 56.1% for >0 to <60 min, 74.8% for 60 to <150 min, and 82.8% for ≥150 min) but not by sex (63.0% for men and 63.1% for women). CONCLUSIONS: Our results demonstrate the need to identify strategies to improve retention, especially among individuals who are younger or are members of racial/ethnic minority populations and among those who report less physical activity or less early weight loss. Strategies that address retention after the first session and during the transition from weekly to monthly sessions offer the greatest opportunity for impact.

An Examination of Gender Differences in the National Diabetes Prevention Program's Lifestyle Change Program.

PURPOSE: The purpose of the study was to examine how gender was related to enrollment and number of sessions attended in the National Diabetes Prevention Program's Lifestyle Change Program (DPP LCP). METHODS: To better understand program uptake, a population of those who would be eligible for the LCP was compared to those who enrolled. Estimates of those eligible were computed using data from the National Health and Nutrition Examination Survey, whereas enrollment and sessions attended were computed using data from the Centers for Disease Control and Prevention's Diabetes Prevention Recognition Program. RESULTS: Results revealed that although similar numbers of males and females were eligible for the program, only 39 321 males versus 121 007 females had enrolled in the National DPP LCP by the end of 2017 (odds ratio = 3.20; 95% CI, 3.17-3.24). The gender differences persisted even when stratifying by age or race/ethnicity. In contrast, no significant gender differences were found between the average number of sessions attended for males (14.0) and females (13.8). DISCUSSION: Results of the study can help inform efforts to market and tailor programs to appeal more directly to men and other groups that are underrepresented in the National DPP LCP.