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

BACKGROUND: Approaches to prevent and manage diabetes at a community population level are hindered because current strategies are not aligned with the structure and function of a community system. We describe a community-driven process based on local data and rapid prototyping as an alternative approach to create diabetes prevention and care management solutions appropriate for each community. We report on the process and provide baseline data for a 3-year case study initiative to improve diabetes outcomes in two rural Nebraska communities. METHODS: We developed an iterative design process based on the assumption that decentralized decision-making using local data feedback and monitoring will lead to the innovation of local sustainable solutions. Coalitions act as community innovation hubs and meet monthly to work through a facilitated design process. Six core diabetes measures will be tracked over the course of the project using the electronic health record from community clinics as a proxy for the entire community. RESULTS: Baseline data indicate two-thirds of the population in both communities are at risk for prediabetes based on age and body mass index. However, only a fraction (35% and 12%) of those at risk have been screened. This information led both coalitions to focus on improving screening rates in their communities. DISCUSSION: In order to move a complex system towards an optimal state (e.g., improved diabetes outcomes), stakeholders must have access to continuous feedback of accurate, pertinent information in order to make informed decisions. Conventional approaches of implementing evidence-based interventions do not facilitate this process.

Examining differences in time to appointment and no-show rates between rural telehealth users and non-users.

Background: Telehealth has undergone widespread implementation since 2020 and is considered an invaluable tool to improve access to healthcare, particularly in rural areas. However, telehealth's applicability may be limited for certain populations including those who live in rural, medically underserved communities. While broadband access is a recognized barrier, other important factors including age and education influence a person's ability or preference to engage with telehealth via video telehealth or a patient portal. It remains unclear the degree to which these digital technologies lead to disparities in access to care. Purpose: The purpose of this analysis is to determine if access to healthcare differs for telehealth users compared with non-users. Methods: Using electronic health record data, we evaluated differences in "time to appointment" and "no-show rates" between telehealth users and non-users within an integrated healthcare network between August 2021 and January 2022. We limited analysis to patient visits in endocrinology or outpatient behavioral health departments. We analyzed new patients and established patients separately. Results: Telehealth visits were associated with shorter time to appointment for new and established patients in endocrinology and established patients in behavioral health, as well as with lower no-show rates for established patients in both departments. Conclusions: The findings suggest that those who are unwilling or unable to engage with telehealth may have more difficulty accessing timely care.

Exploring Multiple Dimensions of Access to and Preferences for Telehealth Use.

Introduction: During the pandemic, telehealth became critically important in care provision. Yet, research exposed the inequities facing various groups of people in terms of accessing telehealth. The purpose of this analysis was to examine the various dimensions of access that impact a person's ability to use and preference for telehealth. Methods: We used a mixed-methods approach framed by Levesque's Access to Health care model. In August, 2021, a stratified random sample of 500 patients of an integrated rural health care network was invited to participate in a survey designed to capture familiarity with, use of, and preference for digital technologies in general as well as with telehealth. In addition, key informant interviews were conducted between January 2022 and June 2022. Results: Patients' willingness to use telehealth was influenced by multiple dimensions of access, including approachability of the resource, acceptability, availability, affordability, and appropriateness. Clinician beliefs and attitudes as well as health care system policies affected how a patient perceived, sought, reached, and engaged with telehealth. Conclusions: Access is a dynamic, multifaceted concept that is influenced by individual-, organization-, and systemic-level factors. Looking beyond patient determinants and examining different dimensions of access is important to better facilitate implementation and sustainment of telehealth.

Trends in telehealth use among a cohort of rural patients during the COVID-19 pandemic.

Objective: Rural populations faced unique challenges to healthcare access during the COVID-19 pandemic. This analysis assesses trends in digital health technology use at the onset of the pandemic and describes digital health behaviors among a cohort of patients within a rural integrated healthcare network throughout the first 3 years of the pandemic. Methods: We used data from both the electronic health record (EHR) and a patient survey. EHR data was used to longitudinally assess change over time in patient portal use and telehealth visits. Survey responses were used to provide additional context. Results: Telehealth appointments peaked in the first quarter of 2020 at 28% of all office visits, before leveling off to 8-10% in 2022. Women and those younger than 65 were more likely to have participated in telehealth appointments. Active patient portal users increased from 34.1% in January 2019 to 63.7% in January 2022. There were no differences noted in portal use trends based on rurality. Conclusions: Our findings corroborate previous research, as well as add context regarding digital health technology use throughout the COVID pandemic in a rural patient population. Future research must focus on understanding constraints to digital health expansion in order to continue providing safe, equitable care.

Remote delivery of self-management education workshops for adults with chronic pain, 2020-2021.

OBJECTIVES: We intended to assess changes in pain-related outcomes among rural adults who completed 6-week self-management programs offered remotely during the COVID-19 pandemic. METHODS: We offered the Chronic Pain Self-Management Program and Chronic Disease Self-Management Program between May 2020 and December 2021. Delivery mode options included 2½-hour weekly videoconference, mailed toolkit plus 1-hour weekly conference call, and mailed toolkit alone. We conducted pre- and post-workshop surveys including questions on patient activation, self-efficacy, depression and pain disability. We used paired t-tests to compare pre-post differences in outcomes among participants completing 4 or more sessions. RESULTS: Among 218 adults reporting chronic pain, mean age was 57; 83.6% were female; and 49.5% participated via videoconference, 23.4% by phone and 27.1% via mailed toolkit alone. Completion rates were higher among phone (88.2%) versus videoconference (60.2%) workshop participants. Among completers, patient activation (mean change = 3.61, p = 0.01) and self-efficacy (mean change = 3.72, p < 0.0001) increased while depression scores (mean change = -1.03, p = 0.01), pain disability (mean change = -0.93, p = 0.003) and pain symptoms (mean change = -0.61, p = 0.001) decreased over the 6-week period. DISCUSSION: Self-management programs offered remotely during the pandemic were successful in improving patient activation, self-efficacy, depression, pain disability, and pain symptoms among rural adults experiencing chronic pain.

Determinants of Telehealth Technologies in a Rural Population.

Background: Telehealth's applicability may be limited for vulnerable populations including rural communities. While broadband access is a known barrier to telehealth use, other factors may influence a person's ability or preference to use telehealth. Objective/Purpose: To compare characteristics of telehealth users versus nontelehealth users in a rural health care network. Methods: We surveyed a stratified random sample of 500 adult patients in August 2021 about telehealth use. We used descriptive statistics to compare characteristics of telehealth users with nontelehealth users. Telehealth was defined in three different ways as follows: (1) phone or video visit, (2) video visit, and (3) patient portal use. Results: Mean age of the 206 respondents was 60 years, 60.7% were female, 60.4% had some college education; 84.9% had home internet, and 73.3% used the internet independently. Video telehealth use was independently associated with younger age (<65), having some college education, being married/partnered, and being enrolled in Medicaid. When telehealth included a phone option, disability was positively associated with telehealth use, and living in a rural town versus metropolitan/micropolitan area was negatively associated with telehealth use. Being younger, married/partnered, and having some college education were significantly associated with patient portal use. Conclusion: Videoconferencing and patient portal use pose barriers to those who are older and have less education. However, these barriers disappear when telehealth is available through telephone.

Watson's Authentic Presence: Philosophical and Theoretical Approaches.

Presence remains a fundamental aspect of nursing practice and theory and yet remains poorly defined. The author describes Watson's phenomenon of authentic presence in both the nursing and interdisciplinary literature. The emerging themes are applied to Watson's theoretical and philosophical perspectives of human caring science.

Wrangling Diabetes: Illuminating the Latent Processes That Impact Diabetes Self-Management Behaviors.

PURPOSE: The purpose of this study is to discern the mechanisms that impact diabetes self-management from the perspective of individuals living with diabetes. METHODS: Using a critical realist perspective, this qualitative descriptive study enrolled 54 individuals living with diabetes who had been exposed to diabetes self-management education and support within the previous 3 years. Focus groups were conducted between January and March 2021. Reflexive thematic analysis was used to develop themes and subthemes. RESULTS: The overarching theme was wrangling diabetes: getting in control. Enablers to getting in control included professional and informal support and constant reassurance that they were on the right track. Individual-level barriers to getting in control included competing priorities, difficult emotions, and financial concerns. Health system barriers included inconsistent messaging from providers, lack of care coordination, and insurance driving treatment decisions. The latent force underlying these barriers was the limited agency individuals with diabetes had in reference to self-management behaviors. CONCLUSIONS: Although the health care system ostensibly wants individuals to be in control of and responsible for managing their diabetes, system-level structures and processes do not allow for some people living with diabetes to effectively self-manage.

A Scoping Literature Review of Rural Beliefs and Attitudes toward Telehealth Utilization.

The purpose of this scoping literature review was to understand what is known about how the rural profile influences beliefs regarding telehealth utilization. Rural nursing theory (RNT) provided a framework for the review. Search criteria were limited to peer-reviewed studies conducted in Europe, the United States, Canada, Australia, and New Zealand. A variety of search terms related to patient telehealth perceptions generated 213 unique articles, of which 10 met the inclusion criteria. Included studies incorporated qualitative methodologies and were from Australia, Canada, Sweden, or the United States. The review highlighted four themes related to the rural profile's influence on telehealth beliefs: importance of familiar relationships, concerns with privacy and confidentiality, acceptance of limited access to care, and resourcefulness and frugality. These themes echo concepts within RNT. Nurses and other health professionals must acknowledge the rural profile's influence on a person's decision to use telehealth in order to provide optimal care.

Enrollment and Completion Characteristics for Novel Remote Delivery Modes of the Self-management Programs During the COVID-19 Pandemic: Exploratory Analysis.

BACKGROUND: In-person, evidence-based, peer-facilitated chronic disease self-management programs have been shown to be effective for individuals from a variety of backgrounds, including rural and minority populations and those with lower socioeconomic status. Based in social learning theory, these programs use group processes to help participants better manage their chronic disease symptoms and improve their quality of life. During the pandemic, these in-person programs were forced to rapidly transition to remote delivery platforms, and it was unclear whether doing so increased disparities within our rural population. OBJECTIVE: The objectives of this analysis were to ascertain self-management program enrollment and completion characteristics between 2 remote delivery platforms, as well as determine the individual level characteristics that drove enrollment and completion across delivery modes. METHODS: We analyzed enrollment and completion characteristics of 183 individuals who either enrolled in a self-management workshop delivered through a web-based videoconference (VC) system or through a traditional, audio-only conference call (CC) offered by our health care network between April and December 2020. Chi-square tests of association were used to describe the characteristics of and differences between groups. Logistic regression analysis was used to determine significant predictors of enrollment and completion. RESULTS: Those who enrolled in the VC platform were significantly likelier to be younger and college educated than those who enrolled in the CC platform. Those who completed a program, regardless of delivery mode, were likelier to be older and college educated than those who did not complete a program. Multivariate analyses indicated that of those enrolled in the CC platform, completers were likelier to not be enrolled in Medicaid. Among those enrolled in the VC platform, completers were older, college graduates, female, and likelier to have reported poorer health than those who did not complete the program. CONCLUSIONS: The transition of self-management programs to remote delivery modes, particularly to those that rely on VC platforms, revealed that certain demographic groups may no longer be able or willing to access the service. Efforts need to be made to increase engagement in remote self-management workshops. In addition, equivalent quality services that do not rely on a digital platform must continue to be offered in order to promote health equity.

Evaluation of a Peer Led Chronic Pain Self-Management Program in a Rural Population.

BACKGROUND: The Chronic Pain Self-Management Program is an evidence-based intervention that has been shown to be efficacious in reducing symptoms of chronic pain. However, there is a paucity of research examining CPSMP in a predominantly rural population. The purpose was to evaluate patient-reported outcomes of in-person peer-led CPSMP workshops offered in a rural region in 2018 and 2019. METHODS: Participants were surveyed at baseline and 6 months post-workshop. Descriptive statistics were used to describe characteristics of CPSMP completers. Paired t-tests were used to analyze change in depression score (PHQ-8), disability (modified Roland-Morris Disability Questionnaire), self-efficacy, and patient activation (PAM-10). Analysis of variance was used to detect differences over time by age group, education, insurance type, self-rated health, and comorbidities. RESULTS: Among the 327 adults who enrolled in a workshop, 73.1% completed. Of completers, 74.9% were female, average age was 65. Significant improvements were observed in pain disability (P = .0008), patient activation (P = .0362), depression (P < .0001), and self-efficacy (P < .0001), at 6 weeks; and pain disability (P = .0030), depression (P = .0015), and self-efficacy (P = .0064) at 6 months post-program. Individuals who rated their health as fair/poor at baseline reported greater improvements in depression scores than individuals who rated their health as good or better (P < .0002). There were also distinct patterns of change in pain disability among the different age groups. No other differences between groups were noted. CONCLUSIONS: The CPSMP appears to improve pain self-efficacy, disability, and depression regardless of age, gender, insurance status, education, or comorbidities. Healthcare and community organizations should consider investing in and offering chronic pain workshops in rural areas in order to promote health and wellness.

Loneliness Among Rural Self-Management Education Program Enrollees During the COVID-19 Pandemic.

PURPOSE: Pandemic-related isolation may exacerbate loneliness among rural adults; we sought to characterize loneliness and associated factors among rural adults during the COVID-19 pandemic. DESIGN: Cross-sectional observational study. SETTING: Remotely delivered self-management education (SME) workshops, rural upstate New York, May-December 2020. SUBJECTS: Rural SME workshop enrollees, aged 18+, n = 229. MEASURES: De Jong Gierveld 6-Item Loneliness Scale, sociodemographics, workshop type (chronic disease, chronic pain, diabetes), delivery mode (videoconference, phone, self-study); data collected via workshop process measures and enrollment surveys. ANALYSIS: Multivariable linear regression. RESULTS: Mean overall, emotional and social loneliness scores were 2.78 (SD = 1.91), 1.27 (SD = 1.02), and 1.52 (SD = 1.26). Being not married/partnered (ß = .61) and self-reported depression/anxiety (ß = .64) were associated with higher overall scores, and selection of videoconference (ß = -.77) and self-study (ß =-.85) modes with lower scores. Self-reported depression/anxiety (ß = .51) was associated with increased emotional loneliness. Being not married/not partnered (ß = .37) and selection of chronic pain workshops (ß = .64) was were associated with increased social loneliness. Selection of videoconference (ß = -.44) and self-study (ß = -.51) delivery modes were protective of social loneliness. CONCLUSION: In addition to marital status and depression/anxiety, experiencing chronic pain and selecting phone-based workshops were associated with higher degrees of loneliness among rural adults during the pandemic. The latter may be partly explained by insufficient internet access. Health educators should be prepared to address loneliness in rural areas during the pandemic.

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

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

Recruitment and engagement in disease self-management programs: Special concerns for rural residents reporting depression and/or anxiety.

Chronic disease self-management education (CDSME) programs benefit individuals with chronic diseases, including mental health conditions, by improving health-related outcomes and increasing engagement with the health care system. Recruiting individuals with a history of mental health conditions to participate in CDSME is challenging, particularly in rural, underserved areas. Hence, it is important to understand factors associated with the presence of mental health conditions, and impacts of CDSME on patient engagement. This project identifies individual and program-level characteristics, as well as recruitment characteristics, associated with reporting a history of depression and/or anxiety. It also assesses factors related to program engagement and the relationship between completing CDSME and patient activation. Data were collected during CDSME workshops offered in 2019 in a rural region of New York. Of the 421 enrollees who completed survey instruments, 162 reported a history of depression and/or anxiety. Univariate analyses indicated that those reporting a history of depression and/or anxiety were younger, female, in poorer health, had more comorbidities, were Medicaid beneficiaries, and had lower patient activation scores. They also heard about and signed up for the workshop through the internet at higher rates than those not reporting a history of depression and/or anxiety. Multivariable logistic regression modeling indicated age, self-rated health, and number of comorbidities were independent predictors of reporting a history of depression and/or anxiety. Among CDSME completers, patient activation significantly improved regardless of history of depression and/or anxiety. Engaging individuals with mental health conditions in CDSME requires a multimodal recruitment strategy incorporating electronic marketing and registration.

Implementation of Evidence-Based Disease Self-Management Programs in a Rural Region: Leveraging and Linking Community and Health Care System Assets.

CONTEXT: Rural populations experience both a higher prevalence of and risk for premature death from chronic conditions than do their urban counterparts. Yet barriers to implement community-based chronic disease self-management programs persist. PROGRAM: The Living Well program, a multi-sector collaboration between a rural health care system and a network of community-based organizations, has offered the 6-week evidence-based Chronic Disease Self-Management and Diabetes Self-Management workshops since 2017. The program was a response to a quality improvement initiative to improve hypertension and diabetes outcomes throughout the health care system. IMPLEMENTATION: Using the rapid cycling quality improvement process, Living Well developed a self-management program recruitment, referral, and coordinating office for a six-county region. Through continuous capacity-building efforts with community partners, as well as leveraging key health care system assets such as the electronic health record and provider detailing, program reach and adoption was increased. EVALUATION: The Reach, Effectiveness, Adoption, Implementation, and Maintenance framework was used for the process evaluation. During 3 years, more than 750 individuals engaged with the program, with nearly 600 completing a workshop. The region saw increased engagement by primary care clinicians to refer, and structural changes were embedded into the health care system to facilitate clinic-community partnerships. DISCUSSION: A coordinated, multi-sector approach is necessary to develop solutions to complex, chronic health problems. A regional coordinating hub is an effective strategy for implementing community-based programs in rural areas. However, low health care system engagement and fragmented funding remain as barriers to optimal implementation.

Evaluating a Two-Level vs. Three-Level Fall Risk Screening Algorithm for Predicting Falls Among Older Adults.

Background and Objectives: Falls account for the highest proportion of preventable injury among older adults. Thus, the United States' Centers for Disease Control and Prevention (CDC) developed the Stopping Elderly Accidents, Deaths, and Injuries (STEADI) algorithm to screen for fall risk. We referred to our STEADI algorithm adaptation as "Quick-STEADI" and compared the predictive abilities of the three-level (low, moderate, and high risk) and two-level (at-risk and not at-risk) Quick-STEADI algorithms. We additionally assessed the qualitative implementation of the Quick-STEADI algorithm in clinical settings. Research Design and Methods: We followed a prospective cohort (N = 200) of adults (65+ years) in the Bassett Healthcare Network (Cooperstown, NY) for 6 months in 2019. We conducted a generalized linear mixed model, adjusting for sociodemographic variables, to determine how baseline fall risk predicted subsequent daily falls. We plotted receiver operating characteristic (ROC) curves and measured the area under the curve (AUC) to determine the predictive ability of the Quick-STEADI algorithm. We identified a participant sample (N = 8) to gauge the experience of the screening process and a screener sample (N = 3) to evaluate the screening implementation. Results: For the three-level Quick-STEADI algorithm, participants at low and moderate risk for falls had a reduced likelihood of daily falls compared to those at high risk (-1.09, p = 0.04; -0.99, p = 0.04). For the two-level Quick-STEADI algorithm, participants not at risk for falls were not associated with a reduced likelihood of daily falls compared to those at risk (-0.89, p = 0.13). The discriminatory ability of the three-level and two-level Quick-STEADI algorithm demonstrated similar predictability of daily falls, based on AUC (0.653; 0.6570). Furthermore, participants and screeners found the Quick-STEADI algorithm to be efficient and viable. Discussion and Implications: The Quick-STEADI is a suitable, alternative fall risk screening algorithm. Qualitative assessments of the Quick-STEADI algorithm demonstrated feasibility in integrating a falls screening program in a clinical setting. Future research should address the validation and the implementation of the Quick-STEADI algorithm in community health settings to determine if falls screening and prevention can be streamlined in these settings. This may increase engagement in fall prevention programs and decrease overall fall risk among older adults.

The Strong Hearts, Healthy Communities Program 2.0: An RCT Examining Effects on Simple 7.

INTRODUCTION: Rural women have higher rates of cardiovascular disease than their nonrural counterparts, partially because of their social and environmental contexts. The study objective is to test a refined version of the multilevel Strong Hearts, Healthy Communities intervention, which used extensive process and outcome evaluation data from the original randomized trial to optimize effectiveness as measured by improved Simple 7 score, a composite measure of cardiovascular disease risk. STUDY DESIGN: The intervention was implemented in a 6-month, delayed intervention, community-randomized trial; control participants received the program following 24-week outcome assessment. The study was conducted in 2017-2018; data analysis occurred in 2018-2019. SETTING/PARTICIPANTS: The study was conducted in 11 rural, medically underserved towns in New York. Participants were women aged ≥40 years who were either (1) obese or (2) overweight and sedentary. INTERVENTION: The intervention group received 24 weeks of hour-long, twice-weekly classes including strength training, aerobic exercise, and skill-based nutrition- and health-related education, as well as civic engagement activities focused on healthy food and physical activity environments. MAIN OUTCOME MEASURES: Measures included weight and height; blood pressure; blood cholesterol; blood glucose; and self-reported smoking, diet, and physical activity behaviors. Individual Simple 7 components were examined, and mixed linear regression analyses were used to examine change in Simple 7 score. RESULTS: A total of 182 participants were randomized. Compared with control participants, the intervention group had greater improvements in Simple 7 score (difference=1.03, 95% CI=0.44, 1.61, p<0.001) and 3 of the Simple 7 components (physical activity, healthy diet score, and BMI). CONCLUSIONS: These findings highlight the importance of rigorously evaluating programs in real-world community settings and, when appropriate, revising and retesting interventions to optimize dissemination potential. TRIAL REGISTRATION: This study is registered at www.clinicaltrials.gov NCT03059472.

Effects of the Strong Hearts, Healthy Communities Intervention on Functional Fitness of Rural Women.

PURPOSE: The purposes of these analyses were to determine whether Strong Hearts, Healthy Communities (SHHC), a multilevel, cardiovascular disease risk reduction program for overweight, sedentary rural women aged 40 or older, led to improved functional fitness, and if changes in fitness accounted for weight loss associated with program participation. METHODS: Sixteen rural communities were randomized to receive the SHHC intervention or a control program. Both programs involved groups of 12-16 participants. The SHHC program met 1 hour twice a week for 24 weeks where participants engaged in aerobic exercise and progressive strength training. Program content addressed diet and social and environmental influences on heart-healthy behavior. The control group met 1 hour each month for 6 months, covering current dietary and physical activity recommendations. Objective measures of functional fitness included the 30-second arm curl, 30-second chair stand, and 2-minute step test. Self-reported functional fitness was measured by the Physical Functioning Subscale of the MOS Short Form-36 (SF-36 PF). FINDINGS: The SHHC program was associated with increased strength and endurance, as represented by greater improvement in the chair stand and step test; and with increased physical function, as represented by the SF-36 PF. Adjustment for change in aerobic endurance, as measured by the step test, accounted for two-thirds of the intervention effect on weight loss at the end of the intervention. CONCLUSIONS: SHHC participants experienced improved performance on objective measures of functional fitness and self-reported measures of physical function, and changes in weight were partially accounted for by changes in aerobic fitness.

Process Evaluation of Strong Hearts, Healthy Communities: A Rural Community-Based Cardiovascular Disease Prevention Program.

OBJECTIVE: To evaluate the implementation of a community-based cardiovascular disease prevention program for rural women: Strong Hearts, Healthy Communities (SHHC). DESIGN: Mixed-methods process evaluation. SETTING/PARTICIPANTS: A total of 101 women from 8 rural towns were enrolled in the SHHC program; 93 were enrolled as controls. Eligible participants were aged ≥40 years, sedentary, and overweight or obese. Local health educators (n = 15) served as program leaders within each town. OUTCOME MEASURES: Reach, fidelity, dose delivered, dose received, and program satisfaction were assessed using after-class surveys, participant satisfaction surveys, interviews with program leaders, and participant focus groups. ANALYSIS: Descriptive statistics, chi-square tests of independence, and thematic analysis were employed. RESULTS: Intervention sites reported high levels of fidelity (82%) and dose delivered (84%). Overall reach was 2.6% and program classes were rated as effective (3.9/5). Participants were satisfied with their experience and reported benefits such as camaraderie and awareness of healthy eating and exercise strategies. Common recommendations included increasing class time and enhancing group discussion. CONCLUSIONS AND IMPLICATIONS: Implementation was good in terms of fidelity, dose delivered, and satisfaction, although low reach. Findings from this research have informed a second round of implementation and evaluation of the SHHC program in rural communities.