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Background: Local public health departments in the United States are responsible for implementing cancer-related programs and policies in their communities; however, many staff have not been trained to use evidence-based processes, and the organizational climate may be unsupportive of evidence-based processes. A promising approach to address these gaps is through academic-public health department (AHD) partnerships, in which practitioners and academics collaborate to improve public health practice and education through joint research projects and educational opportunities. Prior research has demonstrated the benefits of AHD partnerships to public health practice and education. However, knowledge about how AHD partnerships should be structured to support implementation of programs and policies is sparse., Methods: This is a mixed methods, two-phase study, guided by the Exploration, Preparation, Implementation, and Sustainment (EPIS) Framework, in which AHD partnerships are a relational type of bridging factor. A positive deviance approach will be used to understand how AHD partnerships are best structured and supported. In the formative phase, we will survey academics and local health department staff (n = 500) to characterize AHD partnerships and understand contextual influences. We will conduct in-depth interviews with eight AHD partnerships (four high and four low engagement), to identify differences between high and low engagement partnerships. The second, experimental phase will be a paired group randomized trial with 28 AHD partnerships (n = 14 randomized to implementation arm and n = 14 to the control arm). A menu of strategies will be refined through survey and interview findings, literature, and our team's previous work. The trial will assess whether these strategies can be used to strengthen partnerships and improve adoption of cancer prevention and control programs and policies. We will evaluate changes in AHD partnership engagement and implementation of evidence-based programs and policies., Discussion: This first-of-its-kind study will focus on collaborations that leverage complementary expertise of health department staff and academics to improve public health practice. Our results can impact the field by identifying new, sustainable models for how public health practitioners and academics can work together to meet common goals, increase the use of evidence-based programs and policies, and expand our understanding of bridging factors within the EPIS framework., Trial Registration: Prospective registered on 9/17/2024 at clinicaltrials.gov no. NCT06605196 ( https://clinicaltrials.gov/study/NCT06605196 )., Competing Interests: Declarations. Ethics approval and consent to participate: The study was approved by the Washington University in St. Louis Institutional Review Board in December 2023. Consent for publication: Not applicable. Competing interests: Ross Brownson is part of the Editorial Board for Implementation Science Communications., (© 2025. The Author(s).)

Background: As dissemination and implementation (D&I) research increases, we must continue to expand training capacity and research networks. Documenting, understanding, and enhancing advice networks identifies key connectors and areas where networks are less established. In 2012 Norton et al. mapped D&I science advice and collaboration networks. The current study builds on this work and aims to map current D&I research advice networks., Methods: D&I researchers in the United States (US) and Canada were identified through a combination of publication metrics, and key persons identified networks and were invited to participate (n = 1,576). In this social network analysis study, participants completed an online survey identifying up to 10 people from whom they sought and/or gave advice on D&I research. Participants identified four types of advice received: research methods, grant, career, or another type (e.g., work/life balance). We used descriptive statistics to characterize the sample and network metrics and visualizations to describe the composition of advice networks., Results: A total of 482 individuals completed the survey. Eighty-six (18%) worked in Canada and 396 (82%) in the US. Respondents had varying D&I research expertise levels; 14% beginner expertise, 45% intermediate, 29% advanced, and 12% expert. The advice network included 978 connected nodes/individuals. For all research types, out-degree, or advice giving, was higher for those with advanced or expert-level expertise (6.9 and 11.9, respectively) than those with beginner or intermediate expertise (0.8 and 2.2, respectively). Respondents reporting White race reported giving (out-degree = 5.2) and receiving (in-degree = 6.1) more advice compared to individuals reporting Asian (out-degree = 2.9, in-degree = 5.3), Black (out-degree = 2.3, in-degree = 5.2), or other races (out-degree = 2.5, in-degree = 5.4). Assortativity analyses revealed 98% of network ties came from individuals within the same country. The top two reasons for advice seeking were trusting the individual to give good advice (78%) and the individual's knowledge/experience in specific D&I content (69%)., Conclusions: The D&I research network is becoming more dispersed as the field expands. Findings highlight opportunities to further connect D&I researchers in the US and Canada, individuals with emerging skills in D&I research, and minoritized racial groups. Expanding peer mentoring opportunities, especially for minoritized groups, can enhance the field's capacity for growth., Competing Interests: Declarations. Ethics approval and consent to participate: The Institutional Review Board at Washington University in St. Louis approved this study as exempt research. Consent for publication: All individuals named in Table 7 of the manuscript provided written consent via email to have their name included in the publication. Competing interests: Wynne Norton and Sharon Straus are on the Editorial Board for Implementation Science. All other authors declare that they have no competing interests., (© 2024. The Author(s).)

The dissemination and implementation (D&I) of evidence at the community level is critical to improve health and advance health equity. Social networks are considered essential to D&I efforts, but there lacks clarity regarding how best to study and leverage networks. We examined networks in community-level D&I frameworks to characterize the range of network actors, activities, and change approaches. We conducted a narrative review of 66 frameworks. Among frameworks that explicitly addressed networks - that is, elaborated on network characteristics, structure, and/or activities - we extracted and synthesized network concepts using descriptive statistics and narrative summaries. A total of 24 (36%) frameworks explicitly addressed networks. Commonly included actors were implementers, adopters/decision-makers, innovation developers, implementation support professionals, and innovation recipients. Network activities included the exchange of resources, knowledge, trust, and norms. Most network-explicit frameworks characterized ties within and across organizations and considered element(s) of network structure - for example, size, centrality, and density. The most common network change strategy was identifying individuals to champion D&I efforts. We discuss opportunities to expand network inquiry in D&I science, including understanding networks as implementation determinants, leveraging network change approaches as implementation strategies, and exploring network change as an implementation outcome., Competing Interests: The authors declare that they have no conflicts of interests., (© The Author(s) 2024.)

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., Competing Interests: NL was employed by CivicPulse. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The reviewer CW declared a past collaboration with the author RB to the handling editor., (Copyright © 2024 Dodson, Parks, Jacob, An, Eyler, Lee, Morshed, Politi, Tabak, Yan and Brownson.)

Context: Understanding the extent to which equity-focused work is occurring in public health departments (eg, in chronic disease programs) can identify areas of success and what is needed to move the needle on health equity., Objective: The study objective was to characterize the patterns and correlates of equity-related practices in US state and territorial public health practice., Design: The design was a multimethod (quantitative and qualitative), cross-sectional study., Setting: The setting included US state and territorial public health departments., Participants: Chronic disease prevention practitioners (N = 600) completed self-report surveys in July 2022 through August 2022 (analyzed in September 2022 through December 2022)., Main Outcome Measures: Health equity data were obtained across 4 domains: (1) staff skills, (2) work unit practices, (3) organizational priorities and values, and (4) partnerships and networks., Results: There was a wide range in self-reported performance across the health equity variables. The highest values (those agreeing and strongly agreeing) were related to staff skills (eg, the ability to describe the causes of inequities [82%]). Low agreement was reported for multiple items, indicating the lack of systems for tracking progress on health equity (32%), the lack of hiring of staff members who represent disadvantaged communities (33%), and limited use of principles for community engagement (eg, sharing decision-making authority with partners [34%]). Qualitative data provided tangible examples showing how practitioners and their agencies are turning an array of health equity concepts into actions., Conclusions: There is urgency in addressing health equity and our data suggest considerable room for enhancing health equity practices in state and territorial public health. To support these activities, our findings provide some of the first information on areas of progress, gaps in practice, and where to target technical assistance, capacity building efforts, and accreditation planning., Competing Interests: The authors declare no conflicts of interest., (Copyright © 2023 The Authors. Published by Wolters Kluwer Health, Inc.)

Background: Logic models map the short-term and long-term outcomes that are expected to occur with a program, and thus are an essential tool for evaluation. Funding agencies, especially in the United States (US), have encouraged the use of logic models among their grantees. They also use logic models to clarify expectations for their own funding initiatives. It is increasingly recognized that logic models should be developed through a participatory approach which allows input from those who carry out the program being evaluated. While there are many positive examples of participatory logic modeling, funders have generally not engaged grantees in developing the logic model associated with their own initiatives. This article describes an instance where a US funder of a multi-site initiative fully engaged the funded organizations in developing the initiative logic model. The focus of the case study is Implementation Science Centers in Cancer Control (ISC 3 ), a multi-year initiative funded by the National Cancer Institute., Methods: The reflective case study was collectively constructed by representatives of the seven centers funded under ISC 3 . Members of the Cross-Center Evaluation (CCE) Work Group jointly articulated the process through which the logic model was developed and refined. Individual Work Group members contributed descriptions of how their respective centers reviewed and used the logic model. Cross-cutting themes and lessons emerged through CCE Work Group meetings and the writing process., Results: The initial logic model for ISC 3 changed in significant ways as a result of the input of the funded groups. Authentic participation in the development of the logic model led to strong buy-in among the centers, as evidenced by their utilization. The centers shifted both their evaluation design and their programmatic strategy to better accommodate the expectations reflected in the initiative logic model., Conclusions: The ISC 3 case study demonstrates how participatory logic modeling can be mutually beneficial to funders, grantees and evaluators of multi-site initiatives. Funded groups have important insights about what is feasible and what will be required to achieve the initiative's stated objectives. They can also help identify the contextual factors that either inhibit or facilitate success, which can then be incorporated into both the logic model and the evaluation design. In addition, when grantees co-develop the logic model, they have a better understanding and appreciation of the funder's expectations and thus are better positioned to meet those expectations., (© 2023. BioMed Central Ltd.)

Background: It is increasingly being recognized that logic models should be developed through a participatory approach which allows input from those who carry out the program being evaluated. While there are many positive examples of participatory logic modeling, funders have generally not used this approach in the context of multi-site initiatives. This article describes an instance where the funder and evaluator of a multi-site initiative fully engaged the funded organizations in developing the initiative logic model. The focus of the case study is Implementation Science Centers in Cancer Control (ISC 3 ), a multi-year initiative funded by the National Cancer Institute (NCI). Methods: The case study was collectively constructed by representatives of the seven centers funded under ISC 3 . Members of the Cross-Center Evaluation (CCE) Work Group jointly articulated the process through which the logic model was developed and refined. Individual Work Group members contributed descriptions of how their respective centers reviewed and used the logic model. Cross-cutting themes and lessons emerged through CCE Work Group meetings and the writing process. Results: The initial logic model for ISC 3 changed in significant ways as a result of the input of the funded groups. Authentic participation in the development of the logic model led to strong buy-in among the centers, as evidenced by their utilization. The centers shifted both their evaluation design and their programmatic strategy to better accommodate the expectations reflected in the initiative logic model. Conclusions: The ISC 3 case study provides a positive example of how participatory logic modeling can be mutually beneficial to funders, grantees and evaluators of multi-site initiatives. Funded groups have important insights about what is feasible and what will be required to achieve the initiative's stated objectives. They can also help identify the contextual factors that either inhibit or facilitate success, which can then be incorporated into both the logic model and the evaluation design. In addition, when grantees co-develop the logic model, they have a better understanding and appreciation of the funder's expectations, and thus are better positioned to meet those expectations.

Objectives: Evidence-based decision making (EBDM) capacity in local public health departments is foundational to meeting both organizational and individual competencies and fulfilling expanded roles. In addition to on-the-job training, organizational supports are needed to prepare staff; yet, less is known in this area. This qualitative study explores supportive management practices instituted as part of a training and technical assistance intervention., Design: This qualitative study used a semistructured interview guide to elicit participants' descriptions and perceptions via key informant interviews. Verbatim transcripts were coded and thematic analyses were conducted., Setting: Local public health departments in a US Midwestern state participated in the project., Participants: Seventeen middle managers and staff from 4 local health departments participated in remote, audio-recorded interviews., Intervention: Following delivery of a 3½-day in-person training, the study team met with health department leadership teams for department selection of supportive agency policies and procedures to revise or newly create. Periodic remote meetings included collaborative problem-solving, sharing of informational resources, and encouragement., Main Outcome Measures: Included management practices instituted to support EBDM and impact on day-to-day work as described by the interview participants., Results: Leadership and middle management practices deemed most helpful included dedicating staff; creating specific guidelines; setting expectations; and providing trainings, resources, and guidance. Health departments with a preexisting supportive organizational culture and climat e were able to move more quickly and fully to integrate supportive management practices. Workforce development included creation of locally tailored overviews for all staff members and onboarding of new staff. Staff wanted additional hands-on skill-building trainings. Several worked with partners to incorporate evidence-based processes into community health improvement plans., Conclusions: Ongoing on-the-job experiential learning is needed to integrate EBDM principles into day-to-day public health practice. Management practices established by leadership teams and middle managers can create supportive work environments for EBDM integration., Competing Interests: The authors declare they have no conflicts of interest., (Copyright © 2022 The Authors. Published by Wolters Kluwer Health, Inc.)

Background: Local health departments (LHDs) in the United States are charged with preventing disease and promoting health in their respective communities. Understanding and addressing what supports LHD's need to foster a climate and culture supportive of evidence-based decision making (EBDM) processes can enhance delivery of effective practices and services., Methods: We employed a stepped-wedge trial design to test staggered delivery of implementation supports in 12 LHDs (Missouri, USA) to expand capacity for EBDM processes. The intervention was an in-person training in EBDM and continued support by the research team over 24 months (March 2018-February 2020). We used a mixed-methods approach to evaluate: (1) individuals' EBDM skills, (2) organizational supports for EBDM, and (3) administered evidence-based interventions. LHD staff completed a quantitative survey at 4 time points measuring their EBDM skills, organizational supports, and evidence-based interventions. We selected 4 LHDs with high contact and engagement during the intervention period to interview staff (n = 17) about facilitators and barriers to EBDM. We used mixed-effects linear regression to examine quantitative survey outcomes. Interviews were transcribed verbatim and coded through a dual independent process., Results: Overall, 519 LHD staff were eligible and invited to complete quantitative surveys during control periods and 593 during intervention (365 unique individuals). A total of 434 completed during control and 492 during intervention (83.6 and 83.0% response, respectively). In both trial modes, half the participants had at least a master's degree (49.7-51.7%) and most were female (82.1-83.8%). No significant intervention effects were found in EBDM skills or in implementing evidence-based interventions. Two organizational supports scores decreased in intervention vs. control periods: awareness (-0.14, 95% CI -0.26 to -0.01, p < 0.05) and climate cultivation (-0.14, 95% CI -0.27 to -0.02, p < 0.05) but improved over time among all participants. Interviewees noted staff turnover, limited time, resources and momentum as challenges to continue EBDM work. Setting expectations, programmatic reviews, and pre-existing practices were seen as facilitators., Conclusions: Challenges (e.g., turnover, resources) may disrupt LHDs' abilities to fully embed organizational processes which support EBDM. This study and related literature provides understanding on how best to support LHDs in building capacity to use and sustain evidence-based practices., Competing Interests: SK was employed by RAND Corporation. DD was employed by National Association of County and City Health Officials. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2022 Jacob, Parks, Allen, Mazzucca, Yan, Kang, Dekker and Brownson.)

Background: Multi-center research initiatives offer opportunities to develop and strengthen connections among researchers. These initiatives often have goals of increased scientific collaboration which can be examined using social network analysis., Methods: The National Cancer Institute (NCI)-funded Implementation Science Centers in Cancer Control (ISC 3 ) initiative conducted an online social network survey in its first year of funding (2020) to (1) establish baseline network measures including the extent of cross-center collaboration and (2) assess factors associated with a network member's access to the network such as one's implementation science (IS) expertise. Members of the seven funded centers and NCI program staff identified collaborations in planning/conducting research, capacity building, product development, scientific dissemination, and practice/policy dissemination., Results: Of the 192 invitees, 182 network members completed the survey (95%). The most prevalent roles were faculty (60%) and research staff (24%). Almost one-quarter (23%) of members reported advanced expertise in IS, 42% intermediate, and 35% beginner. Most members were female (69%) and white (79%). One-third (33%) of collaboration ties were among members from different centers. Across all collaboration activities, the network had a density of 14%, suggesting moderate cohesion. Degree centralization (0.33) and betweenness centralization (0.07) measures suggest a fairly dispersed network (no single or few central member(s) holding all connections). The most prevalent and densely connected collaboration was in planning/conducting research (1470 ties; 8% density). Practice/policy dissemination had the fewest collaboration, lowest density (284 ties' 3% density), and the largest number of non-connected members (n=43). Access to the ISC 3 network varied significantly depending on members' level of IS expertise, role within the network, and racial/ethnic background. Across all collaboration activities, most connected members included those with advanced IS expertise, faculty and NCI staff, and Hispanic or Latino and white members., Conclusions: Results establish a baseline for assessing the growth of cross-center collaborations, highlighting specific areas in need of particular growth in network collaborations such as increasing engagement of racial and ethnic minorities and trainees or those with less expertise in IS., (© 2022. The Author(s).)

Objectives: Evidence-based decision making (EBDM) allows public health practitioners to implement effective programs and policies fitting the preferences of their communities. To engage in EBDM, practitioners must have skills themselves, their agencies must engage in administrative evidence-based practices (A-EBPs), and leaders must encourage the use of EBDM. We conducted this longitudinal study to quantify perceptions of individual EBDM skills and A-EBPs, as well as the longitudinal associations between the 2., Methods: An online survey completed among US state health department practitioners in 2016 and 2018 assessed perceptions of respondents' skills in EBDM and A-EBPs. We used χ 2 tests, t tests, and linear regressions to quantify changes over time, differences by demographic characteristics, and longitudinal associations between individual skills and A-EBPs among respondents who completed both surveys (N = 336)., Results: Means of most individual EBDM skills and A-EBPs did not change significantly from 2016 to 2018. We found significant positive associations between changes in A-EBPs and changes in EBDM skill gaps: for example, a 1-point increase in the relationships and partnerships score was associated with a narrowing of the EBDM skill gap (β estimate = 0.38; 95% CI, 0.15-0.61). At both time points, perceived skills and A-EBPs related to financial practices were low., Conclusions: Findings from this study can guide the development and dissemination of initiatives designed to simultaneously improve individual and organizational capacity for EBDM in public health settings. Future studies should focus on types of strategies most effective to build capacity in particular types of agencies and practitioners, to ultimately improve public health practice.

The evidence-based public health course equips public health professionals with skills and tools for applying evidence-based frameworks and processes in public health practice. To date, training has included participants from all the 50 U.S. states, 2 U.S. territories, and multiple other countries besides the U.S. This study pooled follow-up efforts (5 surveys, with 723 course participants, 2005-2019) to explore the benefits, application, and barriers to applying the evidence-based public health course content. All analyses were completed in 2020. The most common benefits (reported by >80% of all participants) were identifying ways to apply knowledge in their work, acquiring new knowledge, and becoming a better leader who promotes evidence-based approaches. Participants most frequently applied course content to searching the scientific literature (72.9%) and least frequently to writing grants (42.7%). Lack of funds for continued training (35.3%), not having enough time to implement evidence-based public health approaches (33.8%), and not having coworkers trained in evidence-based public health (33.1%) were common barriers to applying the content from the course. Mean scores were calculated for benefits, application, and barriers to explore subgroup differences. European participants generally reported higher benefits from the course (mean difference=0.12, 95% CI=0.00, 0.23) and higher frequency of application of the course content to their job (mean difference=0.17, 95% CI=0.06, 0.28) than U.S. participants. Participants from later cohorts (2012-2019) reported more overall barriers to applying course content in their work (mean difference=0.15, 95% CI=0.05, 0.24). The evidence-based public health course represents an important strategy for increasing the capacity (individual skills) for evidence-based processes within public health practice. Organization-level methods are also needed to scale up and sustain capacity-building efforts., (Copyright © 2021 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.)

Problem: Dissemination and implementation (D&I) science provides the tools needed to close the gap between known intervention strategies and their effective application. The authors report on the Mentored Training for Dissemination and Implementation Research in Cancer (MT-DIRC) program-a D&I training program for postdoctoral or early-career cancer prevention and control scholars., Approach: MT-DIRC was a 2-year training institute in which fellows attended 2 annual Summer Institutes and other conferences and received didactic, group, and individual instruction; individualized mentoring; and other supports (e.g., pilot funding). A quasi-experimental design compared changes in 3 areas: mentoring, skills, and network composition. To evaluate mentoring and D&I skills, data from fellows on their mentors' mentoring competencies, their perspectives on the importance of and satisfaction with mentoring priority areas, and their self-rated skills in D&I competency domains were collected. Network composition data were collected from faculty and fellows for 3 core social network domains: contact, mentoring, and collaboration. Paired t tests (mentoring), linear mixed models (skills), and descriptive analyses (network composition) were performed., Outcomes: Mentors were rated as highly competent across all mentoring competencies, and each mentoring priority area showed reductions in gaps between satisfaction and importance between the 6 and 18 months post-first Summer Institute. Fellows' self-rated skills in D&I competencies improved significantly in all domains over time (range: 42.5%-52.9% increase from baseline to 18 months post-first Summer Institute). Mentorship and collaboration networks grew over time, with the highest number of collaboration network ties for scholarly manuscripts (n = 199) in 2018 and for research projects (n = 160) in 2019., Next Steps: Building on study findings and existing literature, mentored training of scholars is an important approach for building D&I skills and networks, and thus to better applying the vast amount of available intervention evidence to benefit cancer control.

Background: Mentored training approaches help build capacity for research through mentoring networks and skill building activities. Capacity for dissemination and implementation (D&I) research in cancer is needed and mentored training programs have been developed. Evaluation of mentored training programs through quantitative approaches often provides us with information on "what" improved for participants. Qualitative approaches provide a deeper understanding of "how" programs work best., Methods: Qualitative interviews were conducted with 21 fellows of the National Cancer Institute-funded Mentored Training for Dissemination and Implementation in Cancer to gain understanding of their experiences with mentoring received during the program. Fellows were selected from all 55 trained participants based upon their gain in D&I research skills (highest and lowest) and number of collaborative connections in the program network (highest and lowest) reported in previous quantitative surveys. Phone interviews were recorded with permission, transcribed verbatim, and de-identified for analysis. Codes were developed a priori to reflect interview guide concepts followed by further development and iterative coding of three common themes that emerged: 1) program and mentoring structure, 2) importance of mentor attributes, and 3) enhanced capacity: credentials, confidence, credibility and connections., Results: Interviews provided valuable information about program components that worked best and impacts attributed to participation in the program. Fellows reported that regular monthly check-in calls with mentors helped to keep their research moving forward and that group mentoring structures aided in their learning of basic D&I research concepts and their application. Accessible, responsive, and knowledgeable mentors were commonly mentioned by fellows as a key to their success in the program. Fellows mentioned various forms of impact that they attributed to their participation in the program including gaining credibility in the field, a network of peers and experts, and career developments (e.g., collaborative publications and grant funding)., Conclusions: These findings suggest that mentored training works best when mentoring is structured and coupled with applied learning and when respected and dedicated mentors are on board. Increased scientific collaborations and credibility within a recognized network are important trainee experiences that should be considered when designing, implementing, and sustaining mentored training programs.

Background: There is a continued need to evaluate training programs in dissemination and implementation (D&I) research. Scientific products yielded from trainees are an important and objective measure to understand the capacity growth within the D&I field. This study evaluates our mentored training program in terms of scientific productivity among applicants., Methods: Post-doctoral and early-career cancer researchers were recruited and applied to the R25 Mentored Training for Dissemination and Implementation Research in Cancer (MT-DIRC) between 2014 and 2017. Using application details and publicly available bibliometric and funding data, we compared selected fellows with unsuccessful applicants (nonfellows). We extracted Scopus citations and US federal grant funding records for all applicants (N = 102). Funding and publication abstracts were de-identified and coded for D&I focus and aggregated to the applicant level for analysis. Logistic regression models were explored separately for the odds of (1) a D&I publication and (2) US federal grant funding post year of application among fellows (N = 55) and nonfellows (N = 47). Additional models were constructed to include independent variables that attenuated the program's association by 5% or more. Only US-based applicants (N = 87) were included in the grant funding analysis., Results: Fellows and nonfellows were similar across several demographic characteristics. Fellows were more than 3 times more likely than nonfellows to have grant funding after MT-DIRC application year (OR 3.2; 95% CI 1.1-11.0) while controlling for time since application year; the association estimate was 3.1 (95% CI 0.98-11.0) after adjusting for both cancer research area and previous grant funding. For publications, fellows were almost 4 times more likely to publish D&I-focused work adjusting for time (OR 3.8; 95% CI 1.7-9.0). This association lessened after adjusting for previous D&I publication and years since undergraduate degree (OR 2.9; 95% CI 1.2-7.5)., Conclusions: We document the association of a mentored training approach with built-in networks of peers to yield productive D&I researchers. Future evaluation efforts could be expanded to include other forms of longer-term productivity such as policy or practice change as additional objective measures. D&I research trainings in the USA and internationally should consider common evaluation measures.

Background: Public health resources are limited and best used for effective programs. This study explores associations of mis-implementation in public health (ending effective programs or continuing ineffective programs) with organizational supports for evidence-based decision making among U.S. local health departments., Methods: The national U.S. sample for this cross-sectional study was stratified by local health department jurisdiction population size. One person was invited from each randomly selected local health department: the leader in chronic disease, or the director. Of 600 selected, 579 had valid email addresses; 376 completed the survey (64.9% response). Survey items assessed frequency of and reasons for mis-implementation. Participants indicated agreement with statements on organizational supports for evidence-based decision making (7-point Likert)., Results: Thirty percent (30.0%) reported programs often or always ended that should have continued (inappropriate termination); organizational supports for evidence-based decision making were not associated with the frequency of programs ending. The main reason given for inappropriate termination was grant funding ended (86.0%). Fewer (16.4%) reported programs often or always continued that should have ended (inappropriate continuation). Higher perceived organizational supports for evidence-based decision making were associated with less frequent inappropriate continuation (odds ratio = 0.86, 95% confidence interval 0.79, 0.94). All organizational support factors were negatively associated with inappropriate continuation. Top reasons were sustained funding (55.6%) and support from policymakers (34.0%)., Conclusions: Organizational supports for evidence-based decision making may help local health departments avoid continuing programs that should end. Creative mechanisms of support are needed to avoid inappropriate termination. Understanding what influences mis-implementation can help identify supports for de-implementation of ineffective programs so resources can go towards evidence-based programs.

Objective: Use of research evidence in public health decision making can be affected by organizational supports. Study objectives are to identify patterns of organizational supports and explore associations with research evidence use for job tasks among public health practitioners., Design: In this longitudinal study, we used latent class analysis to identify organizational support patterns, followed by mixed logistic regression analysis to quantify associations with research evidence use., Setting: The setting included 12 state public health department chronic disease prevention units and their external partnering organizations involved in chronic disease prevention., Participants: Chronic disease prevention staff from 12 US state public health departments and partnering organizations completed self-report surveys at 2 time points, in 2014 and 2016 (N = 872)., Main Outcome Measures: Latent class analysis was employed to identify subgroups of survey participants with distinct patterns of perceived organizational supports. Two classify-analyze approaches (maximum probability assignment and multiple pseudo-class draws) were used in 2017 to investigate the association between latent class membership and research evidence use., Results: The optimal model identified 4 latent classes, labeled as "unsupportive workplace," "low agency leadership support," "high agency leadership support," and "supportive workplace." With maximum probability assignment, participants in "high agency leadership support" (odds ratio = 2.08; 95% CI, 1.35-3.23) and "supportive workplace" (odds ratio = 1.74; 95% CI, 1.10-2.74) were more likely to use research evidence in job tasks than "unsupportive workplace." The multiple pseudo-class draws produced comparable results with odds ratio = 2.09 (95% CI, 1.31-3.30) for "high agency leadership support" and odds ratio = 1.74 (95% CI, 1.07-2.82) for "supportive workplace.", Conclusions: Findings suggest that leadership support may be a crucial element of organizational supports to encourage research evidence use. Organizational supports such as supervisory expectations, access to evidence, and participatory decision making may need leadership support as well to improve research evidence use in public health job tasks.

Evidence-based public health (EBPH) practice, also called evidence-informed public health, can improve population health and reduce disease burden in populations. Organizational structures and processes can facilitate capacity-building for EBPH in public health agencies. This study involved 51 structured interviews with leaders and program managers in 12 state health department chronic disease prevention units to identify factors that facilitate the implementation of EBPH. Verbatim transcripts of the de-identified interviews were consensus coded in NVIVO qualitative software. Content analyses of coded texts were used to identify themes and illustrative quotes. Facilitator themes included leadership support within the chronic disease prevention unit and division, unit processes to enhance information sharing across program areas and recruitment and retention of qualified personnel, training and technical assistance to build skills, and the ability to provide support to external partners. Chronic disease prevention leaders' role modeling of EBPH processes and expectations for staff to justify proposed plans and approaches were key aspects of leadership support. Leaders protected staff time in order to identify and digest evidence to address the common barrier of lack of time for EBPH. Funding uncertainties or budget cuts, lack of political will for EBPH, and staff turnover remained challenges. In conclusion, leadership support is a key facilitator of EBPH capacity building and practice. Section and division leaders in public health agencies with authority and skills can institute management practices to help staff learn and apply EBPH processes and spread EBPH with partners.

Background: Evidence-based decision making (EBDM) in health programs and policies can reduce population disease burden. Training in EBDM for the public health workforce is necessary to continue capacity building efforts. While in-person training for EBDM is established and effective, gaps in skills for practicing EBDM remain. Distance and blended learning (a combination of distance and in-person) have the potential to increase reach and reduce costs for training in EBDM. However, evaluations to-date have focused primarily on in-person training. Here we examine effectiveness of in-person trainings compared to distance and blended learning. Methods: A quasi-experimental pre-post design was used to compare gaps in skills for EBDM among public health practitioners who received in-person training, distance and blended learning, and controls. Nine training sites agreed to replicate a course in EBDM with public health professionals in their state or region. Courses were conducted either in-person ( n = 6) or via distance or blended learning ( n = 3). All training participants, along with controls, were asked to complete a survey before the training and 6 months post-training. Paired surveys were used in linear mixed models to compare effectiveness of training compared to controls. Results: Response rates for pre and post-surveys were 63.9 and 48.8% for controls and 81.6 and 62.0% for training groups. Participants who completed both pre and post-surveys ( n = 272; 84 in-person, 67 distance or blended, and 121 controls) were mostly female (89.0%) and about two-thirds (65.3%) were from local health departments. In comparison to controls, overall gaps in skills for EBDM were reduced for participants of both in-person training (β = -0.55, SE = 0.27, p = 0.041) and distance or blended training (β = -0.64, SE = 0.29, p = 0.026). Conclusions: This study highlights the importance of using diverse methods of learning (including distance or blended in-person approaches) for scaling up capacity building in EBDM. Further exploration into effective implementation strategies for EBDM trainings specific to course delivery type and understanding delivery preferences are important next steps.

Objective: The nearly 3000 local health departments (LHDs) nationwide are the front line of public health and are positioned to implement evidence-based interventions (EBIs) for diabetes control. Yet little is currently known about use of diabetes-related EBIs among LHDs. This study used a national online survey to determine the patterns and correlates of the Centers for Disease Control and Prevention Community Guide-recommended EBIs for diabetes control in LHDs., Research Design and Methods: A cross-sectional study was conducted to survey a stratified random sample of LHDs regarding department characteristics, respondent characteristics, evidence-based decision making within the LHD, and delivery of EBIs (directly or in collaboration) within five categories (diabetes-related, nutrition, physical activity, obesity, and tobacco). Associations between delivering EBIs and respondent and LHD characteristics and evidence-based decision making were explored using logistic regression models., Results: Among 240 LHDs there was considerable variation among the EBIs delivered. Diabetes prevalence in the state was positively associated with offering the Diabetes Prevention Program (OR=1.28 (95% CI 1.02 to 1.62)), diabetes self-management education (OR=1.32 (95% CI 1.04 to 1.67)), and identifying patients and determining treatment (OR=1.27 (95% CI 1.05 to 1.54)). Although all organizational supports for evidence-based decision making factors were related in a positive direction, the only significant association was between evaluation capacity and identifying patients with diabetes and determining effective treatment (OR=1.54 (95% CI 1.08 to 2.19))., Conclusion: Supporting evidence-based decision making and increasing the implementation of these EBIs by more LHDs can help control diabetes nationwide., Competing Interests: Competing interests: None declared.

Background: Research shows that training can improve skills needed for evidence-based decision making, but less is known about instituting organizational supports to build capacity for evidence-based chronic disease prevention., Community Context: The objectives of this case study were to assess facilitators and challenges of applying management practices to support evidence-based decision making in chronic disease prevention programs in the public health system in Georgia through key informant interviews and quantitatively test for changes in perceived management practices and skills through a pre-post survey., Methods: Leadership of the chronic disease prevention section hosted a multiday training, provided regular supplemental training, restructured the section and staff meetings, led and oversaw technical assistance with partners, instituted transparent performance-based contracting, and made other changes. A 65-item online survey measured perceived importance of skills and the availability of skilled staff, organizational supports, and use of research evidence at baseline (2014) and in 2016 (after training). A structured interview guide asked about management practices, context, internal and external facilitators and barriers, and recommendations., Capacity-Building Activities and Survey Findings: Seventy-four staff members and partners completed both surveys (70.5% response). Eleven participants also completed a 1-hour telephone interview. Interview participants deemed leadership support and implementation of multiple concurrent management practices key facilitators to increase capacity. Main challenges included competing priorities, lack of political will, and receipt of requests counter to evidence-based approaches. At posttest, health department staff had significantly reduced gaps in skills overall (10-item sum) and in 4 of 10 individual skills, and increased use of research evidence to justify interventions. Use of research evidence for evaluation, but not skills, increased among partners., Interpretation: The commitment of leaders with authority to establish multiple management practices to help staff members learn and apply evidence-based decision-making processes is key to increased use of evidence-based chronic disease prevention to improve population health.

Background: As the field of D&I (dissemination and implementation) science grows to meet the need for more effective and timely applications of research findings in routine practice, the demand for formalized training programs has increased concurrently. The Mentored Training for Dissemination and Implementation Research in Cancer (MT-DIRC) Program aims to build capacity in the cancer control D&I research workforce, especially among early career researchers. This paper outlines the various components of the program and reports results of systematic evaluations to ascertain its effectiveness., Methods: Essential features of the program include selection of early career fellows or more experienced investigators with a focus relevant to cancer control transitioning to a D&I research focus, a 5-day intensive training institute, ongoing peer and senior mentoring, mentored planning and work on a D&I research proposal or project, limited pilot funding, and training and ongoing improvement activities for mentors. The core faculty and staff members of the MT-DIRC program gathered baseline and ongoing evaluation data regarding D&I skill acquisition and mentoring competency through participant surveys and analyzed it by iterative collective reflection., Results: A majority (79%) of fellows are female, assistant professors (55%); 59% are in allied health disciplines, and 48% focus on cancer prevention research. Forty-three D&I research competencies were assessed; all improved from baseline to 6 and 18 months. These effects were apparent across beginner, intermediate, and advanced initial D&I competency levels and across the competency domains. Mentoring competency was rated very highly by the fellows--higher than rated by the mentors themselves. The importance of different mentoring activities, as rated by the fellows, was generally congruent with their satisfaction with the activities, with the exception of relatively greater satisfaction with the degree of emotional support and relatively lower satisfaction for skill building and opportunity initially., Conclusions: These first years of MT-DIRC demonstrated the program's ability to attract, engage, and improve fellows' competencies and skills and implement a multicomponent mentoring program that was well received. This account of the program can serve as a basis for potential replication and evolution of this model in training future D&I science researchers.

Introduction: Although practitioners in state health departments are ideally positioned to implement evidence-based interventions, few studies have examined how to build their capacity to do so. The objective of this study was to explore how to increase the use of evidence-based decision-making processes at both the individual and organization levels., Methods: We conducted a 2-arm, group-randomized trial with baseline data collection and follow-up at 18 to 24 months. Twelve state health departments were paired and randomly assigned to intervention or control condition. In the 6 intervention states, a multiday training on evidence-based decision making was conducted from March 2014 through March 2015 along with a set of supplemental capacity-building activities. Individual-level outcomes were evidence-based decision making skills of public health practitioners; organization-level outcomes were access to research evidence and participatory decision making. Mixed analysis of covariance models was used to evaluate the intervention effect by accounting for the cluster randomized trial design. Analysis was performed from March through May 2017., Results: Participation 18 to 24 months after initial training was 73.5%. In mixed models adjusted for participant and state characteristics, the intervention group improved significantly in the overall skill gap (P = .01) and in 6 skill areas. Among the 4 organizational variables, only access to evidence and skilled staff showed an intervention effect (P = .04)., Conclusion: Tailored and active strategies are needed to build capacity at the individual and organization levels for evidence-based decision making. Our study suggests several dissemination interventions for consideration by leaders seeking to improve public health practice.

Fluid catalytic cracking is a chemical conversion process of industrial scale. This process, utilizing porous catalysts composed of clay and zeolite, converts heavy crude-oil fractions into transportation fuel and petrochemical feedstocks. Among other factors iron-rich reactor and feedstream impurities cause these catalyst particles to permanently deactivate. Herein, we report tomographic X-ray absorption spectroscopy measurements that reveal the presence of dissimilar iron impurities of specific localization within a single deactivated particle. Whereas the iron natural to clay in the composite seems to be unaffected by operation, exterior-facing and feedstream-introduced iron was found in two forms. Those being minute quantities of ferrous oxide, located near regions of increased porosity, and impurities rich in Fe 3+ , preferentially located in the outer dense part of the particle and suggested to contribute to the formation of an isolating amorphous silica alumina envelope., (© 2017 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim.)

Since its commercial introduction three-quarters of a century ago, fluid catalytic cracking has been one of the most important conversion processes in the petroleum industry. In this process, porous composites composed of zeolite and clay crack the heavy fractions in crude oil into transportation fuel and petrochemical feedstocks. Yet, over time the catalytic activity of these composite particles decreases. Here, we report on ptychographic tomography, diffraction, and fluorescence tomography, as well as electron microscopy measurements, which elucidate the structural changes that lead to catalyst deactivation. In combination, these measurements reveal zeolite amorphization and distinct structural changes on the particle exterior as the driving forces behind catalyst deactivation. Amorphization of zeolites, in particular, close to the particle exterior, results in a reduction of catalytic capacity. A concretion of the outermost particle layer into a dense amorphous silica-alumina shell further reduces the mass transport to the active sites within the composite.Catalyst deactivation in fluid catalytic cracking processes is unavoidably associated with structural changes. Here, the authors visualize the deactivation of zeolite catalysts by ptychography and other imaging techniques, showing pronounced amorphization of the outer layer of the catalyst particles.

Introduction: Funders and accreditation standards increasingly call on state and local public health agencies to use the best available science. Using research evidence is a key process in practicing evidence-based decision making (EBDM). This study explored preferences for and uses of research evidence, and examined correlates regarding frequency of use., Methods: In 2014, eligible staff from 12 state health departments and their partnering agencies were invited to complete an online self-report questionnaire and achieved an 82% response rate (1,237/1,509). The cross-sectional data analyzed in 2015 were baseline to a study on enhancing EBDM capacity and supports., Results: Webinars/workshops was the most frequently selected method to learn public health findings among those in state and local health departments, whereas academic journals was the top selection by those in universities and healthcare facilities (p<0.001). Several modifiable EBDM practices were associated with more frequent use of research evidence, including direct supervisor expectations for EBDM use and performance evaluation based partially on EBDM use (AOR=2.5, 95% CI=1.9, 3.2 and AOR=2.5, 95% CI=2.1, 2.9, respectively). Increased numbers of EBDM practices were associated with higher odds of frequent research evidence use. Participant characteristics associated with higher research evidence use and adjusted for were job role, education attainment, and gender., Conclusions: To translate research into public health practice, researchers can tailor evidence on intervention implementation and effectiveness and disease burden to accessible and preferred formats for public health workers and partners. Management practices to support evidence-based disease prevention can be instituted and fostered in public health and partnering agencies., (Copyright © 2016 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.)

Background: In order to better understand how to improve evidence-based decision making (EBDM) in state health departments, measurement tools are needed to evaluate changes in EBDM. The purpose of this study was to test the psychometric properties of a new measurement tool to assess EBDM in public health practice settings., Methods: A questionnaire was developed, pilot-tested and refined in an iterative process with the input of public health practitioners with the aim of identifying a set of specific measures representing different components of EBDM. Data were collected in a national survey of state health department chronic disease practitioners. The final dataset (n=879) for psychometric testing was comprised of 19 EBDM items that were first examined using exploratory factor analysis, and then confirmatory factor analysis., Results: The final model from confirmatory factor analysis includes five latent factors representing components of EBDM: capacity for evaluation, expectations and incentives for EBDM, access to evidence and resources for EBDM, participatory decision making, and leadership support and commitment., Conclusions: This study addresses the need for empirically tested and theory-aligned measures that may be used to assess the extent to which EBDM is currently implemented, and further, to gauge the success of strategies to improve EBDM, in public health settings. This EBDM measurement tool may help identify needed supports for enhanced capacity and implementation of effective strategies., Competing Interests: None of the authors have financial or non-financial competing interests., (Copyright © 2016. Published by Elsevier Ltd.)

Background: There have been conflicting observations reported in the literature regarding the effects of formaldehyde in the recovery of cell free fetal DNA (CFF DNA) from maternal plasma. The aim of the present study was to assess the effect of formaldehyde treatment on circulating cell free DNA., Methods: We conducted this study using blood specimens collected from 11 pregnant women, each of whom was carrying a male fetus. DYS14 and HBB real time assays were performed to quantify fetal and total circulating cell free DNA from formaldehyde treated and untreated maternal plasma specimens, respectively., Results: The concentration of total circulating cell free DNA in formaldehyde-treated maternal plasma was reduced, compared with untreated maternal plasma (n = 11; P = .02). The percentage of CFF DNA between formaldehyde-treated and untreated maternal plasma specimens did not differ significantly (n = 11; P = .15)., Conclusion: Addition of formaldehyde does not significantly enhance the proportion of cell free fetal DNA when blood specimens are processed without delay., (© American Society for Clinical Pathology, 2016. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Background: Evidence-based public health gives public health practitioners the tools they need to make choices based on the best and most current evidence. An evidence-based public health training course developed in 1997 by the Prevention Research Center in St. Louis has been taught by a transdisciplinary team multiple times with positive results. In order to scale up evidence-based practices, a train-the-trainer initiative was launched in 2010., Methods: This study examines the outcomes achieved among participants of courses led by trained state-level faculty. Participants from trainee-led courses in four states (Indiana, Colorado, Nebraska, and Kansas) over three years were asked to complete an online survey. Attempts were made to contact 317 past participants. One-hundred forty-four (50.9 %) reachable participants were included in analysis. Outcomes measured include frequency of use of materials, resources, and other skills or tools from the course; reasons for not using the materials and resources; and benefits from attending the course. Survey responses were tabulated and compared using Chi-square tests., Results: Among the most commonly reported benefits, 88 % of respondents agreed that they acquired knowledge about a new subject, 85 % saw applications for the knowledge to their work, and 78 % agreed the course also improved abilities to make scientifically informed decisions at work. The most commonly reported reasons for not using course content as much as intended included not having enough time to implement evidence-based approaches (42 %); other staff/peers lack training (34 %); and not enough funding for continued training (34 %). The study findings suggest that utilization of course materials and teachings remains relatively high across practitioner groups, whether they were taught by the original trainers or by state-based trainers., Conclusions: The findings of this study suggest that train-the-trainer is an effective method for broadly disseminating evidence-based public health principles. Train-the-trainer is less costly than the traditional method and allows for courses to be tailored to local issues, thus making it a viable approach to dissemination and scale up of new public health practices.

Objective: Diagnosis of fetal gender early in pregnancy is very useful as it would prevent invasive fetal sampling in almost half the cases at risk of inheriting X-linked disorders or those affecting sexual differentiation. Noninvasive prenatal diagnosis (NIPD) using circulating cell-free fetal (cff) DNA from maternal circulation has emerged as a useful alternative to existing methods for prenatal diagnosis of gender. NIPD eliminates the risk of miscarriage from invasive prenatal diagnosis and the necessity of possessing specialized obstetric skills for fetal tissue sampling. The aim of this study was to compare two Y chromosome markers-SRY and DYS14-for their utility in the diagnosis of fetal gender., Subjects and Methods: Forty-eight plasma samples from pregnant women between 9 and 25 weeks of gestation were analyzed. Real-time polymerase chain reaction was performed on cff DNA extracted from maternal plasma to detect fetal Y chromosome with SRY (n=27) and DYS14 (n=48) markers., Results: We observed 100% sensitivity and 85.6% specificity in noninvasive Y chromosome detection with the combined use of DYS14 and SRY markers (n=27) compared with the results obtained on using DYS14 (n=48 sensitivity 94%; specificity 71.4%) and SRY (n=27, sensitivity 84%; specificity 92.8%) markers alone., Conclusion: Our results show that the test performance improved with the employment of two Y-amplification assays.

Introduction: A better understanding of mis-implementation in public health (ending effective programs and policies or continuing ineffective ones) may provide important information for decision makers. The purpose of this study is to describe the frequency and patterns in mis-implementation of programs in state and local health departments in the U.S., Methods: A cross-sectional study of 944 public health practitioners was conducted. The sample included state (n=277) and local health department employees (n=398) and key partners from other agencies (n=269). Data were collected from October 2013 through June 2014 (analyzed in May through October 2014). Online survey questions focused on ending programs that should continue, continuing programs that should end, and reasons for endings., Results: Among state health department employees, 36.5% reported that programs often or always end that should have continued, compared with 42.0% of respondents in local health departments and 38.3% of respondents working in other agencies. In contrast to ending programs that should have continued, 24.7% of state respondents reported programs often or always continuing when they should have ended, compared to 29.4% for local health departments and 25% of respondents working in other agencies. Certain reasons for program endings differed at the state versus local level (e.g., policy support, support from agency leadership), suggesting that actions to address mis-implementation are likely to vary., Conclusions: The current data suggest a need to focus on mis-implementation in public health practice in order to make the best use of scarce resources., (Copyright © 2015 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.)

This article discusses a practice of child residential mobility in Zambia that is frequently overlooked in migration studies and difficult to capture through standard survey methods: the practice of 'going on holiday' to the homes of relatives during breaks in the school term. Drawing on child-centered and quantitative research, this article examines the multiple dimensions of 'going on holiday' for children living in a low-income urban settlement in Lusaka. Findings suggest that the practice was gendered and may map onto changing norms in schooling in Zambia. Within a context where resources are severely constrained, going on holiday may serve as one means for cultivating reciprocity, sharing the burden of care and household labor, and strengthening kin ties. This work further demonstrates the importance of using locally meaningful terms and practices in survey research where general questions about children's mobility may fail to capture the nature and extent of children's movements.

Background: Preparing the public health workforce to practice evidence-based decision making (EBDM) is necessary to effectively impact health outcomes. Few studies report on training needs in EBDM at the national level in the United States. We report competency gaps to practice EBDM based on four U.S. national surveys we conducted with the state and local public health workforce between 2008 and 2013., Methods: We compared self-reported data from four U.S. national online surveys on EBDM conducted between 2008 and 2013. Participants rated the importance of each EBDM competency then rated how available the competency is to them when needed on a Likert scale. We calculated a gap score by subtracting availability scores from importance scores. We compared mean gaps across surveys and utilized independent samples t tests and Cohen's d values to compare state level gaps. In addition, participants in the 2013 state health department survey selected and ranked three items that "would most encourage you to utilize EBDM in your work" and items that "would be most useful to you in applying EBDM in your work". We calculated the percentage of participants who ranked each item among their top three., Results: The largest competency gaps were consistent across all four surveys: economic evaluation, communicating research to policymakers, evaluation designs, and adapting interventions. Participants from the 2013 state level survey reported significantly larger mean importance and availability scores (p <0.001, d =1.00, and p <0.001, d = .78 respectively) and smaller mean gaps (p <0.01, d = .19) compared to the 2008 survey. Participants most often selected "leaders prioritizing EBDM" (67.9%) among top ways to encourage EBDM use. "EBDM training for specific areas" was most commonly ranked as important in applying EBDM (64.3%)., Conclusion: Perceived importance and availability of EBDM competencies may be increasing as supports for EBDM continue to grow through trends in funding, training, and resources. However, more capacity building is needed overall, with specific attention to the largest competency gaps. More work with public health departments to both situate trainings to boost competency in these areas and continued improvements for organizational practices (leadership prioritization) are possible next steps to sustain EBDM efforts.

Introduction: Until recently, health care systems in the United States often lacked a unified approach to prevent and manage chronic disease. Recent efforts have been made to close this gap through various calls for increased collaboration between public health and health care systems to better coordinate provision of services and programs. Currently, the extent to which the public health workforce has responded is relatively unknown. The objective of this study is to explore health care system collaboration efforts and activities among a population-based sample of state public health practitioners., Methods: During spring 2013, a national survey was administered to state-level chronic disease public health practitioners. Respondents were asked to indicate whether or not they collaborate with health care systems. Those who reported "yes" were asked to indicate all topic areas in which they collaborate and provide qualitative examples of their collaborative work., Results: A total of 759 respondents (84%) reported collaboration. Common topics of collaboration activities were tobacco, cardiovascular health, and cancer screening. More client-oriented interventions than system-wide interventions were found in the qualitative examples provided. Respondents who collaborated were also more likely to use the Community Guide, use evidence-based decision making, and work in program areas that involved secondary, rather than primary, prevention., Conclusion: The study findings indicate a need for greater guidance on collaboration efforts that involve system-wide and cross-system interventions. Tools such as the Community Guide and evidence-based training courses may be useful in providing such guidance.

Use of scientific evidence aids in ensuring that public health interventions have the best possible health and economic return on investment. We describe use of academic journals by state health department chronic disease prevention staff to find public health evidence. We surveyed more than 900 state health department staff from all states and the District of Columbia. Participants identified top journals or barriers to journal use. We used descriptive statistics to examine individual and aggregate state health department responses. On average, 45.7% of staff per state health department use journals. Common barriers to use included lack of time, lack of access, and expense. Strategies for increasing journal use are provided.

Background: Cancer and other chronic diseases reduce quality and length of life and productivity, and represent a significant financial burden to society. Evidence-based public health approaches to prevent cancer and other chronic diseases have been identified in recent decades and have the potential for high impact. Yet, barriers to implement prevention approaches persist as a result of multiple factors including lack of organizational support, limited resources, competing emerging priorities and crises, and limited skill among the public health workforce. The purpose of this study is to learn how best to promote the adoption of evidence based public health practice related to chronic disease prevention., Methods/design: This paper describes the methods for a multi-phase dissemination study with a cluster randomized trial component that will evaluate the dissemination of public health knowledge about evidence-based prevention of cancer and other chronic diseases. Phase one involves development of measures of practitioner views on and organizational supports for evidence-based public health and data collection using a national online survey involving state health department chronic disease practitioners. In phase two, a cluster randomized trial design will be conducted to test receptivity and usefulness of dissemination strategies directed toward state health department chronic disease practitioners to enhance capacity and organizational support for evidence-based chronic disease prevention. Twelve state health department chronic disease units will be randomly selected and assigned to intervention or control. State health department staff and the university-based study team will jointly identify, refine, and select dissemination strategies within intervention units. Intervention (dissemination) strategies may include multi-day in-person training workshops, electronic information exchange modalities, and remote technical assistance. Evaluation methods include pre-post surveys, structured qualitative phone interviews, and abstraction of state-level chronic disease prevention program plans and progress reports., Trial Registration: clinicaltrials.gov: NCT01978054.

Background: Bernard-Soulier syndrome (BSS) is an extremely rare (1:1 million) bleeding disorder of platelet adhesion, caused by defects in the glycoprotein (GP)Ib/IX/V complex., Patients and Methods: The diagnosis in 27 patients was based on low platelet count, presence of giant platelets and aggregometry studies. Flow cytometry to assess the surface GPIb/IX/V complex showed reduced (7.7-57%) expression. gDNA was screened for mutations in the GPIBA, GPIBB, GP9 genes using PCR-conformation sensitive gel electrophoresis (CSGE)., Results: Thirteen different disease-causing mutations, including missense (54%), frameshifts (38%) and nonsense (8%) mutations, were identified in 27 patients. Eleven of them were novel including five novel frameshifts (GPIbα: p.Gln97&#95;98fsX113, p.Pro402&#95;403fsX52; GPIbβ: p.Arg17fsX14; GPIX: p.Gly24fsX43, p. Pro130fs, a nonsense mutation (GPIX, p.94, Gln>X) and five novel missense mutations (GPIbα: p.492, Tyr>His; GPIbβ: p.65, Pro>Arg, p.129, Gln>His, p.132, Leu>Pro; GPIX: p.55, Phe>Cys). Interestingly, four common mutations, Cys8Arg (n = 6) and Phe55Ser (n = 2), Phe55Cys (n = 2) in GPIX and a novel 22-bp deletion in the GPIBB gene predicting p.Arg17fsX 14 (n = 10) were seen in 20 patients., Conclusion: The molecular data presented here is the largest series of BSS patients to be reported so far, adding significantly to the mutation database of this condition and also useful for its genetic diagnosis in India., (© 2011 International Society on Thrombosis and Haemostasis.)