Effectively communicating with local policymakers: a randomized trial of policy brief dissemination to address obesity.

Introduction: Evidence-based policies are a powerful tool for impacting health and addressing obesity. Effectively communicating evidence to policymakers is critical to ensure evidence is incorporated into policies. While all public health is local, limited knowledge exists regarding effective approaches for improving local policymakers' uptake of evidence-based policies. Methods: Local policymakers were randomized to view one of four versions of a policy brief (usual care, narrative, risk-framing, and narrative/risk-framing combination). They then answered a brief survey including questions about their impressions of the brief, their likelihood of using it, and how they determine legislative priorities. Results: Responses from 331 participants indicated that a majority rated local data (92%), constituent needs/opinions (92%), and cost-effectiveness data (89%) as important or very important in determining what issues they work on. The majority of respondents agreed or strongly agreed that briefs were understandable (87%), believable (77%), and held their attention (74%) with no brief version rated significantly higher than the others. Across the four types of briefs, 42% indicated they were likely to use the brief. Logistic regression models showed that those indicating that local data were important in determining what they work on were over seven times more likely to use the policy brief than those indicating that local data were less important in determining what they work on (aOR = 7.39, 95% CI = 1.86,52.57). Discussion: Among local policymakers in this study there was no dominant format or type of policy brief; all brief types were rated similarly highly. This highlights the importance of carefully crafting clear, succinct, credible, and understandable policy briefs, using different formats depending on communication objectives. Participants indicated a strong preference for receiving materials incorporating local data. To ensure maximum effect, every effort should be made to include data relevant to a policymaker's local area in policy communications.

Designing for dissemination among public health and clinical practitioners in the USA.

Introduction: The slow adoption of evidence-based interventions reflects gaps in effective dissemination of research evidence. Existing studies examining designing for dissemination (D4D), a process that ensures interventions and implementation strategies consider adopters' contexts, have focused primarily on researchers, with limited perspectives of practitioners. To address these gaps, this study examined D4D practice among public health and clinical practitioners in the USA. Methods: We conducted a cross-sectional study among public health and primary care practitioners in April to June 2022 (analyzed in July 2022 to December 2022). Both groups were recruited through national-level rosters. The survey was informed by previous D4D studies and pretested using cognitive interviewing. Results: Among 577 respondents, 45% were public health and 55% primary care practitioners, with an overall survey response rate of 5.5%. The most commonly ranked sources of research evidence were email announcements for public health practitioners (43.7%) and reading academic journals for clinical practitioners (37.9%). Practitioners used research findings to promote health equity (67%) and evaluate programs/services (66%). A higher proportion of clinical compared to public health practitioners strongly agreed/agreed that within their work setting they had adequate financial resources (36% vs. 23%, p < 0.001) and adequate staffing (36% vs. 24%, p = 0.001) to implement research findings. Only 20% of all practitioners reported having a designated individual or team responsible for finding and disseminating research evidence. Conclusions: Addressing both individual and modifiable barriers, including organizational capacity to access and use research evidence, may better align the efforts of researchers with priorities and resources of practitioners.

Sleep, Stress, and Cardiometabolic Health in Women of Childbearing Age with Overweight and Obesity.

Background: Sleep is important for health, but its relationship to cardiometabolic health in women of childbearing age remains unclear. Furthermore, stress, unmet basic needs, and lack of physical activity may be related to disrupted sleep and poor cardiometabolic health in women of childbearing age and these relationships may differ by ethnicity. The purposes of this study were to investigate the relationship between sleep, markers of cardiometabolic health, stress, unmet basic needs, and physical activity in women of childbearing age with overweight or obesity and identify if these relationships differed between women that identified as Latino/Hispanic and non-Latino/Hispanic ethnicity. Methods: A secondary cross-sectional analysis was conducted using baseline data from a trial that embeds healthy eating and activity into a national home visiting program, Parents as Teachers. The sample was stratified based on self-reported ethnicity (Hispanic/Latino or non-Hispanic/Latino). Pearson's and Spearman's correlations were used to determine bivariate relationships among sleep, cardiometabolic variables, stress, unmet basic needs, and physical activity. Results: Two hundred seventy-six women, 46% of whom identified as Hispanic/Latino, were included in the analysis. Body mass index (BMI) was significantly correlated with sleep disturbance (ρ = 0.23, p = 0.01) in women who identify as Hispanic/Latino. Stress was positively related to sleep disturbance, sleep duration, and unmet needs for both groups of women. BMI was correlated with unmet basic needs in women who identified as non-Hispanic/Latino (ρ = 0.25, p = 0.01). Conclusions: Our results suggest that sleep, stress, and basic needs are important in understanding cardiometabolic health in women of childbearing age and these relationships differ depending on ethnicity. Clinical Trial Registration Number: NCT03758638.

Integrating a focus on health equity in implementation science: Case examples from the national cancer institute's implementation science in cancer control centers (ISC3) network.

Background: A Health Equity Task Force (HETF) of members from seven Centers funded by the National Cancer Institute's (NCI) Implementation Science in Cancer Control Centers (ISC3) network sought to identify case examples of how Centers were applying a focus on health equity in implementation science to inform future research and capacity-building efforts. Methods: HETF members at each ISC3 collected information on how health equity was conceptualized, operationalized, and addressed in initial research and capacity-building efforts across the seven ISC3 Centers funded in 2019-2020. Each Center completed a questionnaire assessing five health equity domains central to implementation science (e.g., community engagement; implementation science theories, models, and frameworks (TMFs); and engaging underrepresented scholars). Data generated illustrative examples from these five domains. Results: Centers reported a range of approaches focusing on health equity in implementation research and capacity-building efforts, including (1) engaging diverse community partners/settings in making decisions about research priorities and projects; (2) applying health equity within a single TMF applied across projects or various TMFs used in specific projects; (3) evaluating health equity in operationalizing and measuring health and implementation outcomes; (4) building capacity for health equity-focused implementation science among trainees, early career scholars, and partnering organizations; and (5) leveraging varying levels of institutional resources and efforts to engage, include, and support underrepresented scholars. Conclusions: Examples of approaches to integrating health equity across the ISC3 network can inform other investigators and centers' efforts to build capacity and infrastructure to support growth and expansion of health equity-focused implementation science.

Protocol for a scoping review of health equity frameworks and models applied in empirical studies of chronic disease prevention and control.

BACKGROUND: Chronic diseases, such as cancers and cardiovascular diseases, present the greatest burden of morbidity and mortality worldwide. This burden disproportionately affects historically marginalized populations. Health equity is rapidly gaining increased attention in public health, health services, and implementation research, though many health inequities persist. Health equity frameworks and models (FM) have been called upon to guide equity-focused chronic disease and implementation research. However, there is no clear synthesis of the health equity FM used in chronic disease research or how these are applied in empirical studies. This scoping review seeks to fill this gap by identifying and characterizing health equity FM applied in empirical studies along the chronic disease prevention and control continuum, describing how these FM are used, and exploring potential applications to the field of implementation science. METHODS: We follow established guidance for conducting scoping reviews, which includes six stages: (1) identify the research question; (2) identify relevant studies; (3) select studies for inclusion; (4) data extraction; (5) collating, summarizing, and reporting the results; and (6) consultation. This protocol presents the iterative, collaborative approach taken to conceptualize this study and develop the search strategy. We describe the criteria for inclusion in this review, methods for conducting two phases of screening (title and abstract, full text), data extraction procedures, and quality assurance approaches taken throughout the project. DISCUSSION: The findings from this review will inform health-equity focused chronic disease prevention and control research. FM identified through this review will be added to an existing website summarizing dissemination and implementation science frameworks, and we will offer case examples and recommendations for utilizing a health equity FM in empirical studies. Our search strategy and review methodology may serve as an example for scholars seeking to conduct reviews of health equity FM in other health disciplines. SYSTEMATIC REVIEW REGISTRATION: Open Science Framework Registration https://doi.org/10.17605/OSF.IO/SFVE6.

Developing Priorities to Alleviate the Long-Term Impact of the COVID-19 Pandemic on Women Engaged in Diabetes Research, Education, and Care: A Concept Mapping Study.

Objective: The aim of this study was to develop priorities through stakeholder engagement to alleviate the impact of the coronavirus disease 2019 (COVID-19) pandemic on the professional careers of women engaged in diabetes research, education, and care. Research Design and Methods: This study used concept mapping, a mixed-methods, multistep process, to generate a conceptual map of recommendations through the following steps: 1) identify stakeholders and develop the focus prompt, 2) generate ideas through brainstorming, 3) structure ideas through sorting and rating on priority and likelihood, 4) analyze the data and create a cluster map, and 5) interpret and use results. Results: Fifty-two participants completed the brainstorming phase, and 24 participated in sorting and rating. The final concept map included seven clusters. Those rated as highest priority were to ensure supportive workplace culture (µ = 4.43); promote practices to achieve gender parity in hiring, workload, and promotion (µ = 4.37); and increase funding opportunities and allow extensions (µ = 4.36). Conclusion: This study identified recommendations for institutions to better support women engaged in diabetes-related work to alleviate the long-term impact of the COVID-19 pandemic on their careers. Some areas were rated as high in priority and high in likelihood, such as ensuring a supportive workplace culture. In contrast, family-friendly benefits and policies were rated as high in priority but low in likelihood of being implemented; these may take more effort to address, including coordinated efforts within institutions (e.g., women's academic networks) and professional societies to promote standards and programs that advance gender equity in medicine.

Leveraging Implementation Science for Cardiovascular Health Equity: A Scientific Statement From the American Heart Association.

Reducing cardiovascular disease disparities will require a concerted, focused effort to better adopt evidence-based interventions, in particular, those that address social determinants of health, in historically marginalized populations (ie, communities excluded on the basis of social identifiers like race, ethnicity, and social class and subject to inequitable distribution of social, economic, physical, and psychological resources). Implementation science is centered around stakeholder engagement and, by virtue of its reliance on theoretical frameworks, is custom built for addressing research-to-practice gaps. However, little guidance exists for how best to leverage implementation science to promote cardiovascular health equity. This American Heart Association scientific statement was commissioned to define implementation science with a cardiovascular health equity lens and to evaluate implementation research that targets cardiovascular inequities. We provide a 4-step roadmap and checklist with critical equity considerations for selecting/adapting evidence-based practices, assessing barriers and facilitators to implementation, selecting/using/adapting implementation strategies, and evaluating implementation success. Informed by our roadmap, we examine several organizational, community, policy, and multisetting interventions and implementation strategies developed to reduce cardiovascular disparities. We highlight gaps in implementation science research to date aimed at achieving cardiovascular health equity, including lack of stakeholder engagement, rigorous mixed methods, and equity-informed theoretical frameworks. We provide several key suggestions, including the need for improved conceptualization and inclusion of social and structural determinants of health in implementation science, and the use of adaptive, hybrid effectiveness designs. In addition, we call for more rigorous examination of multilevel interventions and implementation strategies with the greatest potential for reducing both primary and secondary cardiovascular disparities.

Does the neighborhood built environment moderate the effectiveness of a weight-loss intervention for mothers with overweight or obesity? Findings from the Healthy Eating and Active Living Taught at Home (HEALTH) study.

BACKGROUND: Women of childbearing age are vulnerable to weight gain and experience a high prevalence of obesity due to pregnancy and stressors of parenthood. Lifestyle interventions such as the Healthy Eating and Active Living Taught at Home (HEALTH) study have been effective for weight loss; however, little is known about how the built environment (parks, transit, grocery stores, fast food, walkability etc.), where participants live might modify intervention effectiveness. This study examined whether characteristics of the neighborhood built environment modified effectiveness of the HEALTH study on weight loss.  METHODS: Secondary data analysis was conducted using data from HEALTH. Using GIS, buffers were built around participant addresses to capture distance to and availability of food (grocery store, convenience store, fast food) and urban design and transit (parks, street connectivity, transit) built environment characteristics. Built environment characteristics were dichotomized into low and high density and distance. Likelihood ratio tests for interaction were conducted to determine if built environment characteristics modified intervention effectiveness on Body mass index (BMI) and waist circumference (WC). Mixed effects linear regression models were then run to estimate the effect of the HEALTH intervention on weight outcomes at 24-months across both strata of built environment characteristics.  RESULTS: The analytic sample (n = 151) had baseline mean BMI 34.9 (SD = 5.8) and mean WC 46.0 cm (SD4.9). All urban design and transit and all food environment characteristics modified HEALTH effectiveness on one or both weight outcomes. The built environment modified the HEALTH intervention such that it was mostly effective for mothers residing in neighborhoods with low transit access, low street connectivity, high park access, and low access to grocery stores, convenience stores, and fast food. CONCLUSIONS: Result show the HEALTH was most effective for women residing neighborhoods with built environment characteristics suggestive of suburban neighborhood typology. To maximize impact for mothers residing in all types of neighborhoods, future research should explore scaling up HEALTH in suburban settings, while adapting HEALTH to maximize effectiveness in compact neighborhoods most likely, urban core neighborhoods.

A case study of adapting a health insurance decision intervention from trial into routine cancer care.

OBJECTIVE: This study adapted Improving Cancer Patients' Insurance Choices (I Can PIC), an intervention to help cancer patients navigate health insurance decisions and care costs. The original intervention improved knowledge and confidence making insurance decisions, however, users felt limited by choices provided in insurance markets. Using decision trees and frameworks to guide adaptations, we modified I Can PIC to focus on using rather than choosing health insurance. The COVID-19 pandemic introduced unforeseen obstacles, prompting changes to study protocols. As a result, we allowed users outside of the study to use I Can PIC (> 1050 guest users) to optimize public benefit. This paper describes the steps took to conduct the study, evaluating both the effectiveness of I Can PIC and the implementation process to improve its impact. RESULTS: Although I Can PIC users had higher knowledge and health insurance literacy compared to the control group, results were not statistically significant. This outcome may be associated with systems-level challenges as well as the number and demographic characteristics of participants. The publicly available tool can be a resource for those navigating insurance and care costs, and researchers can use this flexible approach to intervention delivery and testing as future health emergencies arise.

A scoping review of frameworks in empirical studies and a review of dissemination frameworks.

BACKGROUND: The field of dissemination and implementation (D&I) research has grown immensely in recent years. However, the field of dissemination research has not coalesced to the same degree as the field of implementation research. To advance the field of dissemination research, this review aimed to (1) identify the extent to which dissemination frameworks are used in dissemination empirical studies, (2) examine how scholars define dissemination, and (3) identify key constructs from dissemination frameworks. METHODS: To achieve aims 1 and 2, we conducted a scoping review of dissemination studies published in D&I science journals. The search strategy included manuscripts published from 1985 to 2020. Articles were included if they were empirical quantitative or mixed methods studies about the dissemination of information to a professional audience. Studies were excluded if they were systematic reviews, commentaries or conceptual papers, scale-up or scale-out studies, qualitative or case studies, or descriptions of programs. To achieve aim 1, we compiled the frameworks identified in the empirical studies. To achieve aim 2, we compiled the definitions from dissemination from frameworks identified in aim 1 and from dissemination frameworks identified in a 2021 review (Tabak RG, Am J Prev Med 43:337-350, 2012). To achieve aim 3, we compile the constructs and their definitions from the frameworks. FINDINGS: Out of 6017 studies, 89 studies were included for full-text extraction. Of these, 45 (51%) used a framework to guide the study. Across the 45 studies, 34 distinct frameworks were identified, out of which 13 (38%) defined dissemination. There is a lack of consensus on the definition of dissemination. Altogether, we identified 48 constructs, divided into 4 categories: process, determinants, strategies, and outcomes. Constructs in the frameworks are not well defined. IMPLICATION FOR D&I RESEARCH: This study provides a critical step in the dissemination research literature by offering suggestions on how to define dissemination research and by cataloging and defining dissemination constructs. Strengthening these definitions and distinctions between D&I research could enhance scientific reproducibility and advance the field of dissemination research.

Dissemination and Implementation Science in Cardiothoracic Surgery: A Review and Case Study.

Dissemination and implementation (D&I) science is the practice of taking evidence-based interventions and sustainably incorporating them into routine clinical practice. As a relatively young field, D&I techniques are underutilized in cardiothoracic surgery. This review offers an overview of D&I science from the context of the cardiothoracic surgeon. First, we provide a general introduction to D&I science and basic terminology that is used in the field. Second, to illustrate D&I techniques in a real-world example, we discuss a case study for implementing lung protective management strategies for lung donor optimization nationally. Finally, we discuss challenges to successful implementation that are unique to cardiothoracic surgery and give several examples of evidence-based interventions that have been poorly implemented into surgical practice. We also provide examples of successful D&I interventions-including deimplementation strategies-from other surgical subspecialties. We hope that this review offers additional tools for cardiothoracic surgeons to explore when introducing evidence-based interventions into routine practice.

Social Determinants of Health Discussed with Mothers During Personal Visits Before and During the COVID-19 Pandemic.

Purpose: This report describes the social determinants of health (SDOH) discussed during personal visits at the time leading up to and during the first 4 months of the pandemic from families across the United States. Methods: This is a secondary analysis from a cluster randomized trial that embeds Healthy Eating and Active Living Taught at Home within Parents as Teachers (PAT). PAT is a national organization serving families prenatal through kindergarten, delivered by parent educators. After parent educators complete visits with mothers in the trial, they complete brief surveys including the question "Did issues with any of these come up during the visit?" with yes/no options for "Transportation," "Housing," "Food insecurity," "Childcare," "Financial constraint," or "Other." Results: Among the 60 mothers with visit records in the months before and during (March-July 2020) COVID-19, 55% identified as Hispanic or Latino and 52% reported food insecurity at baseline. During COVID-19, financial constraints and other SDOH were as common as they were before COVID-19; childcare issues were discussed less frequently and food security was discussed more frequently. When comparing the number of SDOH parent educators reported discussing with mothers in visits that took place before COVID-19 with the number of SDOH discussed in visits during COVID-19, the number of SDOH increased for 41% for mothers identifying as Hispanic or Latino and only 8% for non-Hispanic or Latino mothers. Conclusions: This study can help build an understanding of how COVID-19 is impacting families, and how these impacts may be inequitable. Clinical Trial Registration Number: NCT03758638.

A scoping review of de-implementation frameworks and models.

BACKGROUND: Reduction or elimination of inappropriate, ineffective, or potentially harmful healthcare services and public health programs can help to ensure limited resources are used effectively. Frameworks and models (FM) are valuable tools in conceptualizing and guiding the study of de-implementation. This scoping review sought to identify and characterize FM that can be used to study de-implementation as a phenomenon and identify gaps in the literature to inform future model development and application for research. METHODS: We searched nine databases and eleven journals from a broad array of disciplines (e.g., healthcare, public health, public policy) for de-implementation studies published between 1990 and June 2020. Two raters independently screened titles and abstracts, and then a pair of raters screened all full text records. We extracted information related to setting, discipline, study design, methodology, and FM characteristics from included studies. RESULTS: The final search yielded 1860 records, from which we screened 126 full text records. We extracted data from 27 articles containing 27 unique FM. Most FM (n = 21) were applicable to two or more levels of the Socio-Ecological Framework, and most commonly assessed constructs were at the organization level (n = 18). Most FM (n = 18) depicted a linear relationship between constructs, few depicted a more complex structure, such as a nested or cyclical relationship. Thirteen studies applied FM in empirical investigations of de-implementation, while 14 articles were commentary or review papers that included FM. CONCLUSION: De-implementation is a process studied in a broad array of disciplines, yet implementation science has thus far been limited in the integration of learnings from other fields. This review offers an overview of visual representations of FM that implementation researchers and practitioners can use to inform their work. Additional work is needed to test and refine existing FM and to determine the extent to which FM developed in one setting or for a particular topic can be applied to other contexts. Given the extensive availability of FM in implementation science, we suggest researchers build from existing FM rather than recreating novel FM. REGISTRATION: Not registered.

Roles dissemination and implementation scientists can play in supporting research teams.

The field of dissemination and implementation (D&I) science is rapidly growing, with many scientists seeking to apply D&I science to enhance and expand the impact of their work. As the D&I field grows and collaborations of implementation scientists with other fields flourish, a description for the roles for D&I scientists as they collaborate with researchers from other fields could be beneficial. This paper exemplifies how the D&I scientist/researcher collaborative process might work and important elements to consider in doing so, as well as provide an outline on how collaborations might progress for different project needs. This is discussed through example scenarios to consider an implementation scientists' engagement in a research project and describe potential roles for implementation scientists in supporting research teams. We then discuss characteristics to consider when incorporating a D&I expert into a team and considerations in navigating the scenarios.

Expanding Implementation Research to Prevent Chronic Diseases in Community Settings.

Chronic disease prevention continues to be inadequate, overall and in achieving health equity, in spite of the many evidence-based practices and policies (EBPPs) available to address risk behaviors such as unhealthful eating, lack of physical activity, and tobacco use. Although clinical settings are needed for EBPPs that involve medical procedures such as immunization or early detection, dissemination of EBPPs can be effective in a variety of settings such as schools and childcare centers, worksites, social service organizations, and religious organizations. More implementation research is needed to meet challenges of effective application of EBPPs in such community settings, in which primary missions, capacity, cultures, and values do not focus on health services delivery. To address health equity, consideration of social and economic contexts of people reached in these settings is essential. This review presents lessons learned from past studies to guide future implementation research and practice across diverse settings and geographies.

Applying RE-AIM to Evaluate the External Validity of Weight Gain Prevention Interventions in Young Adults: A Systematic Review.

OBJECTIVES: The purpose of this review was to use RE-AIM (Reach, Effectiveness, Adoption, Implementation, Maintenance) to assess the extent to which weight gain prevention studies targeting young adults reported on elements of external validity. DESIGN: Systematic review. ELIGIBILITY CRITERIA: Articles of interest included a lifestyle/behavioral intervention targeting weight gain prevention. Eligibility criteria included the following: study design of randomized controlled trials, quasi-randomized control trials, or natural experiments; average participant age between 18 and 35 years; study duration of at least 12 months; and published in English between January 2008 and May 2018. Studies had to report weight or body mass index as a measured outcome and were excluded if they were paired with smoking cessation programs, were conducted in specific groups (ie, pregnant women, breast cancer survivors), or were follow-ups to weight loss studies. STUDY SELECTION: After removing duplicates, the search yielded 11426 articles. Titles and abstracts were screened by 1 reviewer; 144 articles were assessed in a full-text review by 2 reviewers. Discrepancies were resolved by consensus. Nine studies (13 articles) were included in the review. MAIN OUTCOMES MEASURES: Reported elements of the RE-AIM framework. RESULTS: A total of 9 studies met the selection criteria. All studies lacked full reporting on external validity elements. Of the total of 60 RE-AIM reporting criteria, 8 were reported by all 9 studies, 26 criteria were reported by fewer than 4 studies, and 22 criteria were not reported by any of the studies. DISCUSSION: There remains inadequate reporting of elements of external validity and generalizability in weight gain prevention studies. This is a significant scientific constraint that limits the information required to disseminate and implement prevention of weight gain interventions for population impact. Standardized reporting may be needed to ensure results that demonstrate not only internal validity but also external validity and generalizability are needed to promote public health impact.

Neighborhood Perceptions Among Pregnant African American Women in St. Louis, Missouri, Before and After the Shooting of Michael Brown.

Purpose: This study aims to examine perceptions of neighborhood quality and safety before and after the death of Michael Brown and the unrest that followed. Methods: In this secondary analysis of baseline data from one site in The Lifestyle Interventions for Expectant Moms (LIFE-Moms) Consortium, pregnant African American women in the St. Louis region completed a survey of neighborhood perceptions. Logistic regression was used to explore associations between perceptions among those completing baseline surveys and entering the study before and after August 9, 2014 (range: 2012-2015), adjusted for demographic characteristics. Results: Of 267 participants, half (n=134) completed the survey after August 9, 2014. Thirty-four percent of participants completing the survey after this date felt "The crime rate in my neighborhood makes it unsafe to go on walks during the day" compared with 21% of those completing the survey before (adjusted odds ratio=2.0, 95% confidence interval: 1.1-3.7). There were no consistently significant differences in demographic characteristics or in the remaining 16 neighborhood items. Conclusions: This study is an example of how an unexpected shift in the community context in the wake of a profound event may impact health behaviors and outcomes in a measurable way. Clinical Trials Registration: NCT01768793.

Factors Facilitating or Hindering Use of Evidence-Based Diabetes Interventions Among Local Health Departments.

OBJECTIVE: The objective of this study was to assess facilitators, barriers, and capacities to use of evidence-based programs and policies (EBPPs) in local health departments (LHDs). DESIGN: A qualitative study design was used to elicit a contextual understanding of factors. One-hour interviews were conducted among directors and diabetes/chronic disease practitioners from LHDs. A consensus coding approach was used to identify themes. SETTING AND PARTICIPANTS: Twenty-four participants from 14 Missouri LHDs completed interviews. RESULTS: Themes were identified as facilitators, barriers, or capacities that enhance EBPP use. Facilitators included awareness of EBPPs, leadership and supervisor support of EBPP use, and facilitators to increase capacity to implement EBPPs. Skills development, targeted messaging, and understanding of evidence-based decision-making (EBDM) terminology were needed. Barriers to EBPPs use were described at the individual, organizational, and interorganizational levels and included community buy-in, limited resources, relevance to partners, and time scarcity. Capacities included the ways LHDs learn about EBPPs, methods that influence the use of EBPPs, and resources needed to sustain EBPPs. Top ways to learn about EBPPs were in-person interactions. Staff meetings, meetings with decision makers, and relevant evidence influenced decision making. Resources needed were funding, organizational capacity, and partnerships. Directors' and practitioners' views differed on type of agency culture that promoted EBPP use, preferences for learning about EBPPs, ways to influence decisions, needs, and barriers to EBPPs. CONCLUSIONS: These findings can inform future strategies to support uptake of EBPPs in diabetes and chronic disease control in LHDs. LHDs have a good understanding of EBPPs, but subtle differences in perception of EBPPs and needs exist between directors and practitioners. Investment in capacity building and fostering an organizational culture supportive of EBDM were key implications for practice. By investing in employee skill development, LHDs may increase agency capacity. Researchers should use preferred channels and targeted messaging to disseminate findings.

Pilot test of an interactive obesity treatment approach among employed adults in a university medical billing office.

BACKGROUND: There is a need for workplace programs promoting healthy eating and activity that reach low-wage employees and are scalable beyond the study site. Interventions designed with dissemination in mind aim to utilize minimal resources and to fit within existing systems. Technology-based interventions have the potential to promote healthy behaviors and to be sustainable as well as scalable. We developed an interactive obesity treatment approach (iOTA), to be delivered by SMS text messaging, and therefore accessible to a broad population. The aim of this pilot study was to evaluate participant engagement with, and acceptability of, this iOTA to promote healthy eating and activity behaviors among low-wage workers with obesity. METHODS: Twenty participants (self-reporting body mass index ≥ 30 kg/m2) of a single workgroup employed by a university medical practice billing office had access to the full intervention and study measures and provided feedback on the experience. Height and weight were measured by trained research staff at baseline. Each participant was offered a quarterly session with a health coach. Measured weight and a self-administered survey, including dietary and activity behaviors, were also collected at baseline, 3, 6, 12, 18, and 24 months. Participant engagement was assessed through responsiveness to iOTA SMS text messages throughout the 24-month pilot. A survey measure was used to assess satisfaction with iOTA at 3 months. Due to the small sample size and pilot nature of the current study, we conducted descriptive analyses. Engagement, weight change, and duration remaining in coaching are presented individually for each study participant. RESULTS: The pilot was originally intended to last 3 months, but nearly all participants requested to continue; we thus continued for 24 months. Most (14/20) participants remained in coaching for 24 months. At the 3-month follow-up, eight (47%) of the remaining 17 participants had lost weight; by 24 months, five (36%) of the remaining 14 participants had lost weight (one had bariatric surgery). Participants reported very high satisfaction. CONCLUSIONS: This pilot provides important preliminary results on acceptability and participant engagement with iOTA, which has significant potential for dissemination and sustainability.

Low rates of cascade genetic testing among families with hereditary gynecologic cancer: An opportunity to improve cancer prevention.

OBJECTIVE: Cascade genetic testing (CGT) of hereditary breast and ovarian cancer (HBOC) or Lynch Syndrome (LS) patients' relatives offers opportunities to prevent cancer, but CGT rates are not well described. We aimed to measure reported disclosure of genetic testing results and CGT rates in these families and evaluate patients' views of educational media. METHODS: Patients with HBOC or LS identified from germline genetic testing at an academic institution between 2011 and 2016 were surveyed regarding disclosure, testing among relatives, and perceptions of educational materials. Medical records and pedigrees provided numbers of total and first-degree relatives. RESULTS: Of 103 mutation carriers consented, 64 (63%) completed the survey an average of 38 months after receiving genetic testing results. Participants' mean age was 53 years, and thirty-one (48%) had a cancer diagnosis. The majority (86%) felt extremely or very comfortable sharing health information. Participants disclosed results to 87% of first-degree relatives, but reported that only 40% of first-degree relatives underwent testing. First-degree female relatives had significantly higher CGT rates than first-degree male relatives (59% versus 21%, P < 0.001). Participants with HBOC reported higher CGT rates than those with LS (49% versus 33%, P = 0.02). Participants did not identify any one educational medium as more helpful than the others for disclosing results. CONCLUSION: Disclosure rates are high among HBOC and LS mutation carriers, but reported CGT rates are low. Gender- and mutation-specific barriers prevent patients' family members from undergoing CGT. Future studies should implement materials to address these barriers and improve CGT rates.