Reach and Weight Loss Among Comparison Group Participants Who Enrolled in the Active Intervention After a Diabetes Prevention Trial.

We examined participation rates, engagement, and weight-loss outcomes of comparison group participants in a diabetes prevention trial who enrolled in a digitally delivered diabetes prevention program (ie, an active intervention) after the original trial ended. We evaluated these outcomes by using the Wilcoxon signed-rank test and 1-sample z test. We found a high participation rate (73%) among comparison group participants and comparable weight-loss outcomes at 12 months (6.8 lb) after initiating participation in the active intervention relative to intervention group participants during the original trial. Findings support providing evidence-based interventions for comparison or control group participants post-trial. Findings also support examining the cost-effectiveness of post-trial interventions, regardless of the limitations of acquiring post-trial data on weight in an uncontrolled setting.

Using a customer discovery process to enhance the potential dissemination and scalability of a family healthy weight program for rural communities and small towns.

AIM: Customer discovery, an entrepreneurial and iterative process to understand the context and needs of potential adoption agencies, may be an innovative strategy to improve broader dissemination of evidence-based interventions. This paper describes the customer discovery process for the Building Healthy Families (BHF) Online Training Resources and Program Package (BHF Resource Package) to support rural community adoption of an evidence-based, family healthy weight program. METHODS: The customer discovery process was completed as part of a SPeeding Research-tested INTerventions (SPRINT) training supported by the U.S. Centers for Disease Control and Prevention. Customer discovery interviews (n=47) were conducted with people that could be potential resource users, economic buyers, and BHF adoption influencers to capture multiple contextual and needs-based factors related to adopting new evidence-based interventions. Qualitative analyses were completed in an iterative fashion as each interview was completed. RESULTS: The BHF Resource Package was designed to be accessible to a variety of implementation organizations. However, due to different resources being available in different rural communities, customer discovery interviews suggested that focusing on rural health departments may be a consistent setting for intervention adoption. We found that local health departments prioritize childhood obesity but lacked the training and resources necessary to implement effective programming. Several intervention funding approaches were also identified including (1) program grants from local and national foundations, (2) healthcare community benefit initiatives, and (3) regional employer groups. Payment plans recommended in the customer discovery interviews included a mix of licensing and technical support fees for BHF delivery organizations, potential insurance reimbursement, and family fees based on ability to pay. Marketing a range of BHF non-weight related outcomes was also recommended during the customer discovery process to increase the likelihood of BHF scale-up and sustainability. CONCLUSIONS: Engaging in customer discovery provided practical directions for the potential adoption, implementation, and sustainability of the BHF Resource Package. However, the inconsistent finding that health departments are both the ideal implementation organization, but also see childhood obesity treatment as a clinical service, is concerning.

Building Healthy Families: Outcomes of an Adapted Family Healthy Weight Program Among Children in a Rural Mid-Western Community.

Background: This study aimed to evaluate the effectiveness of implementing an adapted, evidence-based 12-week Family Healthy Weight Program (FHWP), Building Healthy Families, on reducing BMI metrics and clinical health indicators in a real-world community setting. Methods: Ninety child participants with a BMI percentile greater or equal to the 95th percentile for gender and age and their parents/guardians (n = 137) enrolled in the program. Families attended 12 weekly group-based sessions of nutrition education, family lifestyle physical activity, and behavior modification. A pre-post study design with a 6-month follow-up was used. Results: Nine cohorts of families between 2009 and 2016 completed the program with 82.1% retention at 12 weeks and 53.6% at 6 months. Participants had statistically significant improvements at 12 weeks in BMI z-score, %BMIp95, body mass, body fat, fat mass, fat-free mass, and systolic blood pressure with greater improvement at 6 months in body mass, BMI metrics, body fat, fat mass, fat-free mass, and systolic blood pressure. Parents/guardians of the participants had similar statistically significant body composition and blood pressure improvements (p < 0.05). In addition, children had significant improvements in high-density lipoprotein (HDL) cholesterol and aspartate aminotransferase (AST) liver enzymes at 6 months. Conclusions: Overall, this study demonstrated that an evidence-based FHWP can result in statistically meaningful declines in BMI z-score and accompanied clinically meaningful changes in health risk. Participants lost ∼4% of their body mass in 12 weeks, while their parents/guardians lost closer to 7% of their body mass, which supports previous literature suggesting body mass changes influence health.

Evaluation of the Effectiveness of a Bilingual Nutrition Education Program in Partnership with a Mobile Health Unit.

There are limited reports of community-based nutrition education with culinary instruction that measure biomarkers, particularly in low-income and underrepresented minority populations. Teaching kitchens have been proposed as a strategy to address social determinants of health, combining nutrition education, culinary demonstration, and skill building. The purpose of this paper is to report on the development, implementation, and evaluation of Journey to Health, a program designed for community implementation using the RE-AIM planning and evaluation framework. Reach and effectiveness were the primary outcomes. Regarding reach, 507 individuals registered for the program, 310 participants attended at least one nutrition class, 110 participants completed at least two biometric screens, and 96 participants attended at least two health coaching appointments. Participants who engaged in Journey to Health realized significant improvements in body mass index, blood pressure, and triglycerides. For higher risk participants, we additionally saw significant improvements in total and LDL cholesterol. Regarding dietary intake, we observed a significant increase in cups of fruit and a decrease in sugar sweetened beverages consumed per day. Our findings suggest that Journey to Health may improve selected biometrics and health behaviors in low-income and underrepresented minority participants.

Adaptations to a statewide walking program: Use of iterative feedback cycles between research and delivery systems improves fit for over 10 years.

FitEx is an 8-week, group-based physical activity and fruit and vegetable consumption program co-created and implemented with the Cooperative Extension System. Effectiveness and delivery personnel perceptions of the program are promising; however, ongoing adaptations are required to continuously meet shifting needs of both researchers and delivery systems. We applied the APDER iterative cycles of implementation over 15 years to understand dynamic and ongoing adaptations as well as implications for FitEx sustainability. Each year, an IRPP between delivery (FitEx deliverers) and research (FitEx developers) systems shared feedback on program core elements and strategies for adaptation through regular team meetings, emails, and evaluations. While the core elements (delivering to groups, goal setting, feedback, and self-monitoring) of FitEx remained consistent, changes were made to address logistical factors, emergent research questions, and technological advancements. For example, program deliverers suggested decreasing training time and making program content available on demand rather than through traditional in-person training. Using APDER with a long-standing IRPP allowed the delivery system to provide feedback to program developers to co-create ongoing adaptations and data-driven decisions. Future work in response to shifting needs includes Fitbit integration and technological updates to the usability of the FitEx platform. Our aim is to report the 15+ years of applying the Assess, Plan, Do, Evaluate, Report (APDER) process with an integrated research-practice partnership (IRPP) for co-creation of ongoing adaptations of FitEx and to share methods for capturing relevant data for decision-making to integrate health promotion programs in community settings.

This study focuses on the collaborative adaptations of an 8-week physical activity and fruit/vegetable consumption program called FitEx through a long-standing partnership of over 10 years between researchers developing FitEx (developers) and community-based health educators delivering FitEx (deliverers) to fit the needs of the delivery systems and the communities they serve. Developers and deliverers partnered through the following six steps: (i) collaboratively assess needs for adaptation to improve program fit, participant reach, and deliverer adoption; (ii) plan the "what, when, where, how" to adapt and implement; (iii) work together to co-create and implement these adaptations; (iv) evaluated who is adopting and whom is being reaching; (v) report on what's working and not working through a two-way communication loop between research and delivery systems; (vi) repeat. One example of a collaborative adaptation is when the developers added the option of a 1-h online training to reduce travel time for in-person training. This study reports how this partnership and cyclic method for co-adaptations helped ensure that FitEx continues to be sustained and maintained in response to shifting needs over the last 15+ years of its implementation.

A natural experiment to determine if FitEx works: Impact of a statewide walking program.

The National Cooperative Extension System offers walking programs, but impacts are underreported. One program offered in two state systems is FitEx, an 8-week, group-based behavior change intervention. The purpose of this work was to evaluate FitEx through the RE-AIM (reach, effect, adoption, implementation, maintenance) Framework, with a primary focus on reach and effectiveness (individual-level dimensions). Through a pragmatic, natural experiment, the impact of FitEx was assessed from 2015 to 2020. Reach was operationalized as the number and characteristics of eligible community members who participated. Effectiveness was operationalized as changes in physical activity levels. From 2015 to 2020, there were 1995 FitEx participants (274 ± 233 participants per year) who were 45.22 ± 14.13 years of age, predominantly female (83%) and White (78%). At the start of the program, 33% met physical activity guidelines and during the program 58% met guidelines (X2(1, 1648) = 1.6; P < .0). The reach and effectiveness of FitEx are comparable to-and in some cases, greater than-similar community-based walking programs. FitEx consistently reached middle-aged insufficiently active adults. Future work is needed to reach a more diverse population, establish objectively measured impacts, and establish a process to scale FitEx across the nation.

The National Cooperative Extension System offers walking programs, but impacts are not always reported. One program offered in two state systems is FitEx, an 8-week, group-based program to help people change their physical activity practice. The goal of this work was to evaluate FitEx through the RE-AIM (reach, effect, adoption, implementation, maintenance) Framework, with a focus on who is reached and if the program is effective. Through a real-world study, the impact of FitEx was assessed from 2015 to 2020. Reach outcomes were the number and traits of people who joined FitEx. Effectiveness outcomes were changes in participants' physical activity levels. From 2015 to 2020, 1995 people took part in FitEx (an average of 274 per year). They were on average 45.22 years of age, mostly female (83%), mostly non-Hispanic White (78%). At the start of FitEx, 33% met physical activity guidelines. During the program, 58% met guidelines. The reach and effectiveness of FitEx are equal or better than other community-based walking programs. Over the years, FitEx enrolled middle-aged, less active adults. Future work is needed to reach a more diverse population, start measuring physical activity through objective tools, and begin a process of scaling FitEx across the nation.

A randomized controlled trial to test the effectiveness of two technology-enhanced diabetes prevention programs in primary care: The DiaBEAT-it study.

Objective: To evaluate the effectiveness of two technology-enhanced interventions for diabetes prevention among adults at risk for developing diabetes in a primary care setting. Methods: The DiaBEAT-it study employed a hybrid 2-group preference (Choice) and 3-group randomized controlled (RCT) design. This paper presents weight related primary outcomes of the RCT arm. Patients from Southwest Virginia were identified through the Carilion Clinic electronic health records. Eligible participants (18 and older, BMI ≥ 25, no Type 2 Diabetes) were randomized to either Choice (n = 264) or RCT (n = 334). RCT individuals were further randomized to one of three groups: (1) a 2-h small group class to help patients develop a personal action plan to prevent diabetes (SC, n = 117); (2) a 2-h small group class plus automated telephone calls using an interactive voice response system (IVR) to help participants initiate weight loss through a healthful diet and regular physical activity (Class/IVR, n = 110); or (3) a DVD with same content as the class plus the same IVR calls over a period of 12 months (DVD/IVR, n = 107). Results: Of the 334 participants that were randomized, 232 (69%) had study measured weights at 6 months, 221 (66%) at 12 months, and 208 (62%) at 18 months. Class/IVR participants were less likely to complete weight measures than SC or DVD/IVR. Intention to treat analyses, controlling for gender, race, age and baseline BMI, showed that DVD/IVR and Class/IVR led to reductions in BMI at 6 (DVD/IVR -0.94, p < 0.001; Class/IVR -0.70, p < 0.01), 12 (DVD/IVR -0.88, p < 0.001; Class/IVR-0.82, p < 0.001) and 18 (DVD/IVR -0.78, p < 0.001; Class/IVR -0.58, p < 0.01) months. All three groups showed a significant number of participants losing at least 5% of their body weight at 12 months (DVD/IVR 26.87%; Class/IVR 21.62%; SC 16.85%). When comparing groups, DVD/IVR were significantly more likely to decrease BMI at 6 months (p < 0.05) and maintain the reduction at 18 months (p < 0.05) when compared to SC. There were no differences between the other groups. Conclusions: The DiaBEAT-it interventions show promise in responding to the need for scalable, effective methods to manage obesity and prevent diabetes in primary care settings that do not over burden primary care clinics and providers. Registration: https://clinicaltrials.gov/ct2/show/NCT02162901, identifier: NCT02162901.

Cost and cost-effectiveness analysis of a digital diabetes prevention program: results from the PREDICTS trial.

Although technology-assisted diabetes prevention programs (DPPs) have been shown to improve glycemic control and weight loss, information are limited regarding relevant costs and their cost-effectiveness. To describe a retrospective within-trial cost and cost-effectiveness analysis (CEA) to compare a digital-based DPP (d-DPP) with small group education (SGE), over a 1-year study period. The costs were summarized into direct medical costs, direct nonmedical costs (i.e., times that participants spent engaging with the interventions), and indirect costs (i.e., lost work productivity costs). The CEA was measured by the incremental cost-effectiveness ratio (ICER). Sensitivity analysis was performed using nonparametric bootstrap analysis. Over 1 year, the direct medical costs, direct nonmedical costs, and indirect costs per participant were $4,556, $1,595, and $6,942 in the d-DPP group versus $4,177, $1,350, and $9,204 in the SGE group. The CEA results showed cost savings from d-DPP relative to SGE based on a societal perspective. Using a private payer perspective for d-DPP, ICERs were $4,739 and $114 to obtain an additional unit reduction in HbA1c (%) and weight (kg), and were $19,955 for an additional unit gain of quality-adjusted life years (QALYs) compared to SGE, respectively. From a societal perspective, bootstrapping results indicated that d-DPP has a 39% and a 69% probability, at a willingness-to-pay of $50,000/QALY and $100,000/QALY, respectively, of being cost-effective. The d-DPP was cost-effective and offers the prospect of high scalability and sustainability due to its program features and delivery modes, which can be easily translated to other settings.

Although technology-assisted DPPs have been shown to improve glycemic control and/or weight loss, information is limited on examining relevant costs and the cost-effectiveness of DPPs with the use of remote technologies within a randomized controlled trial design. We evaluated the costs associated with a d-DPP and further examined the cost-effectiveness of the d-DPP with an enhanced usual care condition. The d-DPP was cost-effective in achieving HbA1c reduction and weight loss and offers the prospect of high scalability and sustainability due to its program features and delivery modes, which can be easily translated to other settings.

Effects of a digital diabetes prevention program on cardiovascular risk among individuals with prediabetes.

OBJECTIVE: To examine changes in cardiovascular disease (CVD) risk outcomes of overweight/obese adults with prediabetes. METHODS: Using data from a randomized control trial of digital diabetes prevention program (d-DPP) with 599 participants. We applied the atherosclerotic CVD (ASCVD) risk calculator to predict 10-year CVD risk for d-DPP and small education (comparison) groups. Between-group risk changes at 4 and 12 months were compared using a repeated measures linear mixed-effect model. We examined within-group differences in proportion of participants over time for specific CVD risk factors using generalized estimating equations. RESULTS: We found no differences between baseline 10-year ASCVD risk. Relative to the comparison group, the d-DPP group experienced greater reductions in predicted 10-year ASCVD risk at each follow-up visit and a significant group difference at 4 months (-0.96%; 95% confidence interval: -1.58%, -0.34%) (but not at 12 months). Additionally, we observed that the d-DPP group experienced a decreased proportion of individuals with hyperlipidemia (18% and 16% from baseline to 4 and 12 months), high-risk total cholesterol (8% from baseline to 12 months), and being insufficiently active (26% and 22% from baseline to 4 and 12 months at follow-up time points. CONCLUSIONS: Our findings suggest that a digitally adapted DPP may promote the prevention of cardiometabolic disease among overweight/obese individuals with prediabetes. However, given the lack of maintenance of effect on ASCVD risk at 12 months, there may also be a need for additional interventions to sustain the effect detected at 4 months.

Cost analysis of a remote patient monitoring programme for post-discharge patients with type 2 diabetes.

INTRODUCTION: Assessing costs of an evidence-based health promotion programme is crucial to understand the economic feasibility of adopting or sustaining the programme. This study conducted a cost analysis of a remote patient monitoring (RPM) programme to enhance the post-discharge management of type 2 diabetes. METHODS: Using retrospective data collected during RPM implementation from September 2014 to February 2018, we estimated the costs of implementing an RPM in the primary care setting. Measures included total and average annual costs, costs per participant who was enrolled or completed the programme, and costs per person-day. We further conducted sensitivity and scenario analyses to examine variations in estimated programme costs associated with varying programme efficiencies and alternative personnel compositions of the RPM team. RESULTS: The total RPM implementation costs were estimated at US$4,374,544 with an average annual programme costs of US$1,249,870, which translated to US$3207 per participant (n = 1364) completing the three-month programme. The per person-day cost was averaged at US$24 (182,932 person-days). Sensitivity and scenario analyses results indicate that the sustainment costs were approximately US$1.6 million annually and the per-person-day costs were between US$21 and US$29 with each nurse coach on average serving a panel of 62-93 patients. CONCLUSION: The implementation and sustainment costs of an RPM programme, estimated under various assumptions of programme efficiency and care team compositions, as exemplified in this study, will help healthcare organizations make informed decisions in budgeting for and sustaining telehealth programmes to enhance diabetes management.

Long-term use of an ankle-foot orthosis intervention in patients with peripheral artery disease using the integrated promoting action on research implementation in health services (i-PARIHS) framework.

BACKGROUND: Peripheral artery disease (PAD) is a cardiovascular disease that limits patients' walking ability. Persistent ankle-foot orthosis (AFO) use may increase the distance patients can walk as well as physical activity. PURPOSE: The purpose of the study was to determine the implementation and patients' perspectives related to the use or disuse of the AFO intervention six months post-intervention. This study was guided by a semi-structured interview and survey based on the integrated Promoting Action on Research Implementation in Health Services (i-PARIHS) constructs. DESIGN: A convergent mixed methods design was used to evaluate participants' perceptions six months following a three-month AFO intervention. A survey and semi-structured questionnaire based on the i-PARIHS constructs were administered and analyzed. SETTING: Vascular surgery clinic and biomechanics research laboratory. PARTICIPANTS: Patients (N = 7; male, 100%; age, 71.9 ± 0.6.7y; body mass index, 29.0 ± 0.5.5; ankle brachial index 0.50 ± 0.17) with claudication completed the study. INTERVENTIONS: A certified orthotist fit participants with an AFO that was worn for 3 months. MAIN OUTCOME MEASURES: Qualitative analysis of semi-structured interviews and quantitative analysis of the survey. RESULTS: The highest positive ratings were seen in the dimensions of usability and cost-effectiveness. The patients found the AFO device and instructions to wear, easy when starting the intervention and there were no out-of-pocket costs. The lower scores and challenges faced with observability and relative advantage domains indicated issues related to motivation for sustained use of the AFO. CONCLUSIONS: Barriers associated with AFO function that prevent common activities and poor health seem to be the biggest issue for not wanting to wear the AFO after the 3-month intervention. Addressing patients' perceptions and challenges to wearing the AFO is essential to increasing compliance and physical activity. Future research should concentrate on understanding the compatibility of orthotic device interventions with the subject's lifestyle. CLINICAL TRIAL REGISTRATION NO: NCT02902211.

Urban Violence, Migration and Alcohol, Tobacco, and Marijuana Use among Transnational Students in Northern Mexico.

This article reports on the findings of a study of the relationship between transnational experiences in the United States (US) and the use of alcohol, tobacco, and marijuana among 7th grade students (n = 1418). The study was guided by a cross-national framework for research on immigrant health and assessed the accumulation of risk factors for transnational adolescents. Data came from a survey conducted in 2017 in Nogales, Mexico. In this study, the last 30-day prevalence of use of alcohol, tobacco, and marijuana among students was 21.7%, 8.3%, and 2.4%, respectively. Most students were born in Nogales (69.6%), while 10.5% were born in the US, 7.5% attended school in the US, and 3.6% engaged in health-related risk behaviors while living in or visiting the US. Students with transnational experiences, such as attending school in the US, reported the highest 30-day prevalence of tobacco (13.3%) and marijuana (9.5%) use. After adjusting for family, school, access to substances and neighborhood violence variables, students who engaged in health-related risk behavior in the US had significantly increased odds of alcohol and marijuana use while later attending school in Mexico. The article discusses the findings from a prevention science perspective and provides implications for policy, practice, and future research on the Mexico-US border region.

A systematic literature review of breastfeeding interventions among Black populations using the RE-AIM framework.

BACKGROUND: Lactation support resources are less likely to be located in close proximity to where Black families live and there is a systemic racist health care belief that Black women prefer bottle feeding (with infant formula) over breastfeeding. Together, these lead to lower reported breastfeeding rates of Black babies compared to other racial / ethnic groups. It is imperative to have a deeper understanding of the cultural aspects as well as the underlying limitations that prevent Black women / persons from being supported to breastfeed. There is a need to know how effective breastfeeding interventions are in reaching the intended population; how well they work in promoting breastfeeding initiation and continuation; and how successful they are when implemented at the setting and staff level. The purpose of this investigation was to establish the level of internal and external validity that was reported by breastfeeding intervention studies among Black communities. METHODS: Studies on breastfeeding interventions on Black people that were published between the years 1990 and 2019 were carefully examined through PubMed, EBSCOhost, Web of Science, and OneSearch. A total of 31 studies fulfilled the requirements to be included for this evaluation. In order to extract the information from the articles, the reach, effectiveness, adoption, implementation, and maintenance (RE-AIM) framework extraction tool was utilized. RESULTS: On average, the proportion of studies that reported across reach, effectiveness, adoption, implementation, and maintenance indicators was 54, 35, 19, 48, and 9%, respectively. Across core RE-AIM indicators only sample size (100%) and breastfeeding outcomes (90%) were reported consistently. External validity indicators related to representativeness of participants (16%) and sites (3%) were rarely reported. Similarly, adherence to intervention protocol, and indicator of internal validity, was reported in a small proportion of articles (19%). CONCLUSION: This body of literature under-reported on aspects associated to both internal and external validity across all RE-AIM domains. The reporting of the individual level of representativeness; the setting level of representativeness; the intervention's adherence to the protocol; the expenses; and the factors of sustainability would benefit from improvement in future research.

Relationships among changes in physical activity, quality of life, and obesity-Status following a behavioral intervention for rural Appalachian adults.

Improved health-related quality of life (HRQoL) is one benefit of physical activity. Yet, there is limited intervention research exploring (1) whether changes in physical activity influence changes in HRQoL among community-based populations and (2) if baseline obesity status influences the relationships. This exploratory analysis used secondary data from rural Appalachian adults who completed the MoveMore arm of a larger randomized control trial (n = 105, Mage = 41.8, 82 % female, 96 % White, Mincome= $25,911). Specifically, this study examined associations among changes in physical activity and HRQOL and whether baseline obesity status moderated changes. Three HRQoL variables (self-rated health status, total unhealthy days, days poor health impacted activities) and two physical activity variables [weekly moderate-vigorous physical activity (MVPA) minutes, weekly strength training minutes] were collected at baseline and 6-months. Regression models, adjusted for age, gender, race, income, education, assessed associations between physical activity and HRQoL change variables. Moderation analyses explored the influence of baseline obesity status on these relationships. Participants reported significant improvements in self-rated health status (P = 0.001), weekly MVPA minutes (P = 0.008), and weekly strength training minutes (P < 0.001). Increasing weekly strength training minutes was associated with fewer days poor health impacted activities (B = -0.040, P = 0.013). Weekly minutes of MVPA was not associated with HRQoL variables. Baseline obesity status did not moderate relationships. Findings suggest increasing weekly strength training may reduce days poor health impacted activities and that relationships among changes in physical activity and HRQoL were not impacted by baseline obesity. Findings have implications for promoting strength activities in community-based physical activity interventions for rural populations.

A citation analysis and scoping systematic review of the operationalization of the Practical, Robust Implementation and Sustainability Model (PRISM).

BACKGROUND: The Practical, Robust Implementation and Sustainability Model (PRISM) was developed in 2008 as a contextually expanded version of the broadly used Reach, Adoption, Effectiveness, Implementation, and Maintenance (RE-AIM) framework. PRISM provides researchers a pragmatic and intuitive model to improve translation of research interventions into clinical and community practice. Since 2008, the use of PRISM increased across diverse topics, populations, and settings. This citation analysis and scoping systematic review aimed to assess the use of the PRISM framework and to make recommendations for future research. METHODS: A literature search was conducted using three databases (PubMed, Web of Science, Scopus) for the period of 2008 and September 2020. After exclusion, reverse citation searches and invitations to experts in the field were used to identify and obtain recommendations for additional articles not identified in the original search. Studies that integrated PRISM into their study design were selected for full abstraction. Unique research studies were abstracted for information on study characteristics (e.g., setting/population, design), PRISM contextual domains, and RE-AIM outcomes. RESULTS: A total of 180 articles were identified to include PRISM to some degree. Thirty-two articles representing 23 unique studies integrated PRISM within their study design. Study characteristics varied widely and included studies conducted in diverse contexts, but predominately in high-income countries and in clinical out-patient settings. With regards to use, 19 used PRISM for evaluation, 10 for planning/development, 10 for implementation, four for sustainment, and one for dissemination. There was substantial variation across studies in how and to what degree PRISM contextual domains and RE-AIM outcomes were operationalized and connected. Only two studies directly connected individual PRISM context domains with RE-AIM outcomes, and another four included RE-AIM outcomes without direct connection to PRISM domains. CONCLUSIONS: This is the first systematic review of the use of PRISM in various contexts. While there were low levels of 'integrated' use of PRISM and few reports on linkage to RE-AIM outcomes, most studies included important context domains of implementation and sustainability infrastructure and external environment. Recommendations are provided for more consistent and comprehensive use of and reporting on PRISM to inform both research and practice on contextual factors in implementation.

Effectiveness of incentives to improve the reach of health promotion programs- a systematic review and meta-analysis.

The reach (i.e., enrollment, engagement, and retention) of health promotion evidence-based programs (EBPs) at the participant level has been challenging. Incentives based on behavioral economics may be used to improve EBP reach. We aimed to systematically review and synthesize the evidence of the effectiveness of incentives as a dissemination strategy to increase EBP reach. We conducted a literature search in PubMed, SCOPUS, EMBASE, Cochrane Review and Cochrane CENTRAL for articles published between January 2000 and March 2020 to identify incentive strategies used to increase program reach among health promotion EBPs. Inclusion criteria included studies published in English, experimental or quasi-experimental designs, comparison of incentive to non-incentive or control strategies, and reported on reach (n = 35 health promotion studies). Monetary incentives using cash and a fixed schedule of reinforcement were the most used incentive schemes (71%). Incentives alone or combined with other strategies as a multicomponent approach were effective in improving program enrollment, engagement, and retention. Specifically, incentive strategies were associated with higher odds of program enrollment (odds ratio [OR], 2.78; 95% confidence interval [CI], 1.82-4.24; n = 10) and retention (OR, 2.54, 95% CI, 1.34-4.85; n = 9) with considerable heterogeneity (I2 = 94% and 91%, respectively). Incentives are a promising individual-level dissemination strategy to improve the reach of health promotion EBPs. However, understanding the optimal amount, type, frequency, and target of incentives, and how incentives fit in a multicomponent approach in different contexts requires further research.

Qualitative comparative analysis of the implementation fidelity of a workplace sedentary reduction intervention.

BACKGROUND: Stand and Move at Work was a 12-month, multicomponent, peer-led (intervention delivery personnel) worksite intervention to reduce sedentary time. Although successful, the magnitude of reduced sedentary time varied by intervention worksite. The purpose of this study was to use a qualitative comparative analysis approach to examine potential explanatory factors that could distinguish higher from lower performing worksites based on reduced sedentary time. METHODS: We assessed 12-month changes in employee sedentary time objectively using accelerometers at 12 worksites. We ranked worksites based on the magnitude of change in sedentary time and categorized sites as higher vs. lower performing. Guided by the integrated-Promoting Action on Research Implementation in Health Services framework, we created an indicator of intervention fidelity related to adherence to the protocol and competence of intervention delivery personnel (i.e., implementer). We then gathered information from employee interviews and surveys as well as delivery personnel surveys. These data were aggregated, entered into a truth table (i.e., a table containing implementation construct presence or absence), and used to examine differences between higher and lower performing worksites. RESULTS: There were substantive differences in the magnitude of change in sedentary time between higher (-75.2 min/8 h workday, CI95: -93.7, -56.7) and lower (-30.3 min/8 h workday, CI95: -38.3, -22.7) performing worksites. Conditions that were present in all higher performing sites included implementation of indoor/outdoor walking route accessibility, completion of delivery personnel surveys, and worksite culture supporting breaks (i.e., adherence to protocol). A similar pattern was found for implementer willingness to continue role and employees using face-to-face interaction/stair strategies (i.e., delivery personnel competence). However, each of these factors were also present in some of the lower performing sites suggesting we were unable to identify sufficient conditions to predict program success. CONCLUSIONS: Higher intervention adherence and implementer competence is necessary for greater program success. These findings illustrate the need for future research to identify what factors may influence intervention fidelity, and in turn, effectiveness. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT02566317 . Registered 2 October 2015, first participant enrolled 11 January 2016.

Scoping review of costs of implementation strategies in community, public health and healthcare settings.

OBJECTIVES: To identify existing evidence concerning the cost of dissemination and implementation (D&I) strategies in community, public health and health service research, mapped with the 'Expert Recommendations for Implementing Change' (ERIC) taxonomy. DESIGN: Scoping review. DATA SOURCES: MEDLINE, EMBASE, CINAHL, PsycINFO, Scopus and the Cochrane Library were searched to identify any English language reports that had been published between January 2008 and December 2019 concerning the cost of D&I strategies. DATA EXTRACTION: We matched the strategies identified in each article using ERIC taxonomies; further classified them into five areas (eg, dissemination, implementation, integration, capacity building and scale-up); and extracted the corresponding costs (total costs and cots per action target and per evidence-based programme (EBP) participant). We also recorded the reported level of costing methodology used for cost assessment of D&I strategies. RESULTS: Of the 6445 articles identified, 52 studies were eligible for data extraction. Lack of D&I strategy cost data was the predominant reason (55% of the excluded studies) for study exclusion. Predominant topic, setting, country and research design in the included studies were mental health (19%), primary care settings (44%), the US (35%) and observational (42%). Thirty-five (67%) studies used multicomponent D&I strategies (ranging from two to five discrete strategies). The most frequently applied strategies were Conduct ongoing training (50%) and Conduct educational meetings (23%). Adoption (42%) and reach (27%) were the two most frequently assessed outcomes. The overall costs of Conduct ongoing training ranged from $199 to $105 772 ($1-$13 973 per action target and $0.02-$412 per EBP participant); whereas the cost of Conduct educational meetings ranged from $987 to $1.1-$2.9 million/year ($33-$54 869 per action target and $0.2-$146 per EBP participant). The wide range of costs was due to the varying scales of the studies, intended audiences/diseases and the complexities of the strategy components. Most studies presented limited information on costing methodology, making interpretation difficult. CONCLUSIONS: The quantity of published D&I strategy cost analyses is increasing, yet guidance on conducting and reporting of D&I strategy cost analysis is necessary to facilitate and promote the application of comparative economic evaluation in the field of D&I research.

Sustainability via Active Garden Education: The Sustainability Action Plan Model and Process.

Sustainability of intervention programming is challenging to achieve under real world conditions, since few models exist and many studies do not plan far beyond the funding period. Programming content in early care and education centers (ECECs) is often driven by guidelines. However, implementation is very sensitive to contextual factors, such as the setting and implementer (teacher) characteristics. This paper presents the model, definitions, and methodology used for the sustainability action plan capitalizing on a community-based participatory research (CBPR) approach, developed for a multi-site, multi-level garden-based childhood obesity prevention study, Sustainability via Active Garden Education (SAGE). The Ecologic Model of Obesity is applied to develop a sustainability action plan (SAP) and accompanying measures to link early care and education (ECE) environment, the community, policies, and classroom practices to an early childhood obesity prevention program. The SAGE SAP provides an example of how to iteratively evaluate and refine sustainability processes for an obesity prevention intervention utilizing CBPR approaches and will be applied to assess the sustainability of SAGE in a cluster randomized controlled trial. This SAP model can also help inform intervention delivery and scalability within ECECs.