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.

Relationships examined: Parent and child readiness to change and sociodemographic characteristics in family based weight loss treatment.

BACKGROUND: Family based treatment is an effective, multipronged approach to address obesity as it plagues families. OBJECTIVE: To investigate the relationships among sociodemographic characteristics (e.g., education and income), body mass index (BMI) and race/ethnicity with readiness to change for parents enrolled in the Primary care pediatrics, Learning, Activity and Nutrition (PLAN) study. METHODS: Multivariate linear regressions tested two hypotheses: (1) White parents will have higher levels of baseline readiness to change, when compared to Black parents; (2) parents with higher income and education will have higher levels of readiness to change at baseline. RESULTS: A positive relationship exists between baseline parent BMI and readiness to change (Pearson correlation, 0.09, p < 0.05); statistically significant relationships exist between parent education level (-0.14, p < 0.05), income (0.04, p < 0.05) and readiness to change. Additionally, a statistically significant relationship exists, with both White (ß, -0.10, p < 0.05), and Other, non-Hispanic (-0.10, p < 0.05) parents exhibiting lower readiness to change than Black, non-Hispanic parents. Child data did not indicate significant relationships between race/ethnicity and readiness to change. CONCLUSIONS: Results demonstrate that investigators should consider sociodemographic characteristic factors and different levels of readiness to change in participants enrolling in obesity interventions.

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.

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.

Impacts of a Workplace-Based Weight-Control Intervention on Objective and Perceived Physical Activity among a Subgroup of Workers.

Physical activity (PA) has many benefits; however, groups facing barriers to health-promoting behaviors are less likely to be physically active. This may be addressed through workplace interventions. The current study employs objective (accelerometry) and perceived (International Physical Activity Questionnaire [IPAQ]) measures of PA among a subset of participants from the "Working for You" study, which tests a multi-level (work group and individual) workplace intervention targeted at workers with low-incomes. Linear mixed and hierarchical logistic regression models are used to determine the intervention's impact on moderate- to vigorous-PA (MVPA) and achieving the PA Guideline for Americans (≥150 minutes MVPA/week), respectively from baseline to 6- and 24-months, relative to a control group. Correlations (Spearman Rho) between perceived and objective PA are assessed. Of the 140 workers (69 control, 71 intervention) in the sub-study, 131 (94%) have valid data at baseline, 88 (63%) at 6-months, and 77 (55%) at 24-months. Changes in MVPA are not significantly different among intervention relative to control participants assessed by accelerometer or IPAQ at 6- or 24-months follow-up. The percent achieving the PA Guideline for Americans does not vary by treatment group by any measure at any time point (e.g., baseline accelerometry: [control: n=37 (57%); intervention: n=35 (53%)]). This study identifies limited agreement (correlation range: 0.04 to 0.42, all p>.05) between perceived and objective measures. Results suggest the intervention did not improve PA among the sub-study participants. Though agreement between objective and perceived MVPA is low, similar conclusions regarding intervention effectiveness are drawn.

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.

Assessing Racial and Ethnic Discrimination in Children: A Scoping Review of Available Measures for Child Health Disparities Research.

Objectives: To characterize the availability, content, and psychometric properties of self-reported measures that assess race/ethnicity-related discrimination or psychosocial stress and have potential relevance to studies of health disparities in children and adolescents. Design: Using PRISMA extension guidelines for scoping reviews, we searched Ovid Medline, CINAHL, PsychInfo, and Scopus databases from 1946 to April 20, 2020, using the search terms "stress," "child," "adolescents," "discrimination," and "psychometrics." We limited the search to articles in English, with children and adolescents, in the United States. For each measure, we extracted information about the content, reliability, and construct validity. Results: The 12 measures that met inclusion criteria assessed discrimination or stress from racial discrimination in African American children and adolescents (n=8), acculturative stress in Hispanic/Latino children (n=1), or bicultural stress in Mexican American adolescents (n=2), and one measure assessed both discrimination-related and acculturative stress in Hispanic/Latino children. The majority (n=7) articles were published between 2001 and 2010. All discrimination measures evaluated individual experiences of discrimination and one also evaluated stressfulness of discrimination and coping. The acculturative stress measures assessed general stress and immigration-related discrimination, and the bicultural stress measures evaluated many different aspects of biculturalism. Conclusions: Despite the recent increased interest in the racial discrimination and stress as a contributor to racial or ethnic health disparities affecting U.S. children and adolescents, the small number of eligible measures identified and incomplete coverage of various types of racial and ethnic discrimination within and across population groups indicates a currently inadequate capacity to conduct child health disparity studies on this issue.

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.

Market viability: a neglected concept in implementation science.

This debate paper asserts that implementation science needs to incorporate a key concept from entrepreneurship-market demand-and demonstrates how assessing an innovation's potential market viability might advance the pace and success of innovation adoption and sustainment. We describe key concepts, language distinctions, and questions that entrepreneurs pose to implementation scientists-many of which implementation scientists appear ill-equipped to answer. The paper concludes with recommendations about how concepts from entrepreneurship, notably market viability assessment, can enhance the translation of research discoveries into real-world adoption, sustained use, and population health benefits. The paper further proposes activities that can advance implementation science's capacity to draw from the field of entrepreneurship, along with the data foundations required to assess and cultivate market demand.

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.

Changing landscape of nutrition and dietetics research? A bibliographic analysis of top-tier published research in 1998 and 2018.

OBJECTIVE: The current study sought to describe and compare study type, research design and translation phase of published research in nutrition and dietetic journals in 1998 and 2018. DESIGN: This was a repeat cross-sectional bibliographic analysis of Nutrition and Dietetics research. All eligible studies in the top eight Nutrition and Dietetics indexed journals in 1998 and 2018 were included. Two independent reviewers coded each study for research design (study type and study design) and translation phase (T0-T4) of the research using seminal texts in the field. SETTING: Not relevant. PARTICIPANTS: Not relevant. RESULTS: The number of publications (1998, n 1030; 2018, n 1016) has not changed over time, but the research type, design and translation phases have. The proportion of intervention studies in 1998 (43·8 %) was significantly higher than 2018 (19·4 %). In 2018, more reviews (46·9 % v. 15·6 % in 1998) and less randomised trials (14·3 % v. 37·8 % in 1998) were published. In regard to translation phase, there was a higher proportion of T2-T4 research in 2018 (18·3 % v. 3·8 % in 1998); however, the proportion of T3/T4 (dissemination, implementation and population-level research) research was still low (<3 %). Our sensitivity analysis with the four journals that remained in the top eight journal across the two time periods found no differences in the research type, design and translation phases across time. CONCLUSIONS: There was a reduction in intervention and T0 publications, alongside higher publication of clinical study designs over time; however, published T3/T4 research in Nutrition and Dietetics is low. A greater focus on publishing interventions and dissemination and implementation may be needed.

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.